xszheng2020/the_stack_dedup_python_hits_3 · Datasets at Hugging Face

81328ef0347d3a6ae301699943a67ef4f0701935

2,345

py

Python

release/stubs.min/System/__init___parts/CharEnumerator.py

tranconbv/ironpython-stubs

a601759e6c6819beff8e6b639d18a24b7e351851

[ "MIT" ]

null

release/stubs.min/System/__init___parts/CharEnumerator.py

tranconbv/ironpython-stubs

a601759e6c6819beff8e6b639d18a24b7e351851

[ "MIT" ]

null

release/stubs.min/System/__init___parts/CharEnumerator.py

tranconbv/ironpython-stubs

a601759e6c6819beff8e6b639d18a24b7e351851

[ "MIT" ]

null

class CharEnumerator(object): """ Supports iterating over a System.String object and reading its individual characters. This class cannot be inherited. """ def ZZZ(self): """hardcoded/mock instance of the class""" return CharEnumerator() instance=ZZZ() """hardcoded/returns an instance of the class""" def Clone(self): """ Clone(self: CharEnumerator) -> object Creates a copy of the current System.CharEnumerator object. Returns: An System.Object that is a copy of the current System.CharEnumerator object. """ pass def Dispose(self): """ Dispose(self: CharEnumerator) Releases all resources used by the current instance of the System.CharEnumerator class. """ pass def MoveNext(self): """ MoveNext(self: CharEnumerator) -> bool Increments the internal index of the current System.CharEnumerator object to the next character of the enumerated string. Returns: true if the index is successfully incremented and within the enumerated string; otherwise,false. """ pass def next(self,*args): """ next(self: object) -> object """ pass def Reset(self): """ Reset(self: CharEnumerator) Initializes the index to a position logically before the first character of the enumerated string. """ pass def __contains__(self,*args): """ __contains__[Char](enumerator: IEnumerator[Char],value: Char) -> bool """ pass def __enter__(self,*args): """ __enter__(self: IDisposable) -> object """ pass def __exit__(self,*args): """ __exit__(self: IDisposable,exc_type: object,exc_value: object,exc_back: object) """ pass def __init__(self,*args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass def __iter__(self,*args): """ __iter__(self: IEnumerator) -> object """ pass def __reduce_ex__(self,*args): pass def __repr__(self,*args): """ __repr__(self: object) -> str """ pass Current=property(lambda self: object(),lambda self,v: None,lambda self: None) """Gets the currently referenced character in the string enumerated by this System.CharEnumerator object. Get: Current(self: CharEnumerator) -> Char """

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null

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1

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1

0

1

0

3

8133672c14b4b385a9d7555f731ee05a987d9f73

143

py

Python

src/home_automation_hub/config.py

levidavis/py-home

3cc30e19d506824de9816ad9dbcfba4338a7dfa8

[ "MIT" ]

null

src/home_automation_hub/config.py

levidavis/py-home

3cc30e19d506824de9816ad9dbcfba4338a7dfa8

[ "MIT" ]

null

src/home_automation_hub/config.py

levidavis/py-home

3cc30e19d506824de9816ad9dbcfba4338a7dfa8

[ "MIT" ]

null

from .config_store import ConfigStore config = ConfigStore() config.set_mqtt_broker("mqtt", 1883) config.set_redis_config("redis", 6379, 0)

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1

0

1

0

null

0

3

813ffa71bdba0211d608c2b11546d97e7ed15b73

9,307

py

Python

hw1.py

ptsurko/coursera_crypt

ec952800c441a9b07ac427045851285fee8c6543

[ "MIT" ]

null

hw1.py

ptsurko/coursera_crypt

ec952800c441a9b07ac427045851285fee8c6543

[ "MIT" ]

null

hw1.py

ptsurko/coursera_crypt

ec952800c441a9b07ac427045851285fee8c6543

[ "MIT" ]

null

import string from timeit import itertools s1 = '315c4eeaa8b5f8aaf9174145bf43e1784b8fa00dc71d885a804e5ee9fa40b16349c146fb778cdf2d3aff021dfff5b403b510d0d0455468aeb98622b137dae857553ccd8883a7bc37520e06e515d22c954eba5025b8cc57ee59418ce7dc6bc41556bdb36bbca3e8774301fbcaa3b83b220809560987815f65286764703de0f3d524400a19b159610b11ef3e' s2 = '234c02ecbbfbafa3ed18510abd11fa724fcda2018a1a8342cf064bbde548b12b07df44ba7191d9606ef4081ffde5ad46a5069d9f7f543bedb9c861bf29c7e205132eda9382b0bc2c5c4b45f919cf3a9f1cb74151f6d551f4480c82b2cb24cc5b028aa76eb7b4ab24171ab3cdadb8356f' s3 = '32510ba9a7b2bba9b8005d43a304b5714cc0bb0c8a34884dd91304b8ad40b62b07df44ba6e9d8a2368e51d04e0e7b207b70b9b8261112bacb6c866a232dfe257527dc29398f5f3251a0d47e503c66e935de81230b59b7afb5f41afa8d661cb' s4 = '32510ba9aab2a8a4fd06414fb517b5605cc0aa0dc91a8908c2064ba8ad5ea06a029056f47a8ad3306ef5021eafe1ac01a81197847a5c68a1b78769a37bc8f4575432c198ccb4ef63590256e305cd3a9544ee4160ead45aef520489e7da7d835402bca670bda8eb775200b8dabbba246b130f040d8ec6447e2c767f3d30ed81ea2e4c1404e1315a1010e7229be6636aaa' s5 = '3f561ba9adb4b6ebec54424ba317b564418fac0dd35f8c08d31a1fe9e24fe56808c213f17c81d9607cee021dafe1e001b21ade877a5e68bea88d61b93ac5ee0d562e8e9582f5ef375f0a4ae20ed86e935de81230b59b73fb4302cd95d770c65b40aaa065f2a5e33a5a0bb5dcaba43722130f042f8ec85b7c2070' s6 = '32510bfbacfbb9befd54415da243e1695ecabd58c519cd4bd2061bbde24eb76a19d84aba34d8de287be84d07e7e9a30ee714979c7e1123a8bd9822a33ecaf512472e8e8f8db3f9635c1949e640c621854eba0d79eccf52ff111284b4cc61d11902aebc66f2b2e436434eacc0aba938220b084800c2ca4e693522643573b2c4ce35050b0cf774201f0fe52ac9f26d71b6cf61a711cc229f77ace7aa88a2f19983122b11be87a59c355d25f8e4' s7 = '32510bfbacfbb9befd54415da243e1695ecabd58c519cd4bd90f1fa6ea5ba47b01c909ba7696cf606ef40c04afe1ac0aa8148dd066592ded9f8774b529c7ea125d298e8883f5e9305f4b44f915cb2bd05af51373fd9b4af511039fa2d96f83414aaaf261bda2e97b170fb5cce2a53e675c154c0d9681596934777e2275b381ce2e40582afe67650b13e72287ff2270abcf73bb028932836fbdecfecee0a3b894473c1bbeb6b4913a536ce4f9b13f1efff71ea313c8661dd9a4ce' s8 = '315c4eeaa8b5f8bffd11155ea506b56041c6a00c8a08854dd21a4bbde54ce56801d943ba708b8a3574f40c00fff9e00fa1439fd0654327a3bfc860b92f89ee04132ecb9298f5fd2d5e4b45e40ecc3b9d59e9417df7c95bba410e9aa2ca24c5474da2f276baa3ac325918b2daada43d6712150441c2e04f6565517f317da9d3' s9 = '271946f9bbb2aeadec111841a81abc300ecaa01bd8069d5cc91005e9fe4aad6e04d513e96d99de2569bc5e50eeeca709b50a8a987f4264edb6896fb537d0a716132ddc938fb0f836480e06ed0fcd6e9759f40462f9cf57f4564186a2c1778f1543efa270bda5e933421cbe88a4a52222190f471e9bd15f652b653b7071aec59a2705081ffe72651d08f822c9ed6d76e48b63ab15d0208573a7eef027' s10 = '466d06ece998b7a2fb1d464fed2ced7641ddaa3cc31c9941cf110abbf409ed39598005b3399ccfafb61d0315fca0a314be138a9f32503bedac8067f03adbf3575c3b8edc9ba7f537530541ab0f9f3cd04ff50d66f1d559ba520e89a2cb2a83' s11 = '32510ba9babebbbefd001547a810e67149caee11d945cd7fc81a05e9f85aac650e9052ba6a8cd8257bf14d13e6f0a803b54fde9e77472dbff89d71b57bddef121336cb85ccb8f3315f4b52e301d16e9f52f904' def strxor(a, b): # xor two strings of different lengths # a = a.decode('hex') # b = b.decode('hex') if len(a) > len(b): return ("".join([chr(ord(x) ^ ord(y)) for (x, y) in zip(a[:len(b)], b)])) #.encode('hex') else: return ("".join([chr(ord(x) ^ ord(y)) for (x, y) in zip(a, b[:len(a)])])) #.encode('hex') def random(size=16): return open("/dev/urandom").read(size) def encrypt(key, msg): c = strxor(key, msg) print print c #.encode('hex') return c MSGS = (s1,s2,s3,s4,s5,s6,s7,s8,s9,s10,s11) MSGS_DECODED = [s.decode('hex') for s in MSGS] def combinations(iterable, r): indices = range(r) n = len(iterable) while True: yield tuple(i for i in indices) + (tuple(iterable[i] for i in indices),) for i in reversed(range(r)): if indices[i] < n - (r - i): indices[i] = indices[i] + 1 for j in range(i + 1, r): indices[j] = indices[j - 1] + 1 break else: return # def main(): # for c in combinations('ABCD', 2): # print c def output_combinations_table(): comb = [(i1, i2, strxor(s1.decode('hex'), s2.decode('hex'))) for i1, i2, (s1,s2) in combinations(MSGS, 2)] html = '<html><body>' html += '<table style="white-space:nowrap" border="1">' html += '<thead>' html += '<tr>' # WTF??? # max_len = max(combinations, key=lambda x: len(x)) max_len = 0 for i1, i2, c in comb: if len(c) > max_len: max_len = len(c) # print max_len html += '<th></th>' for i in xrange(max_len): html += '<th>' + str(i) + '</th>' html += '</tr>' html += '</thead>' for i1, i2, c in comb: html += '<tr>' html += '<td>(%s, %s)</td>' % (i1 + 1, i2 + 1) for ch in c: html += '<td>' html += '%02d' % ord(ch) if ch in string.printable: html += '<br />' html += '&#%d;' % ord(ch) html += '</td>' html += '</tr>' html += '<tr>' html += '<th></th>' for i in xrange(max_len): html += '<th>' + str(i) + '</th>' html += '</tr>' html += '</table>' html += '</body>' html += '</html>' with open('combinations.html', 'w') as f: f.write(html) def key_by_space(ct_index, ch_index): return key_by_guess(ct_index, ch_index) def key_by_guess(ct_index, ch_index, guess=' '): return strxor(MSGS_DECODED[ct_index][ch_index], guess) def main(): output_combinations_table() key = [ lambda : key_by_space(9, 0), lambda : key_by_space(8, 1), lambda : key_by_space(0, 2), lambda : key_by_space(4, 3), lambda : key_by_space(9, 4), lambda : key_by_space(6, 5), lambda : key_by_space(7, 6), lambda : key_by_guess(4, 7, '\''), #??? lambda : key_by_space(2, 8), lambda : key_by_space(6, 9), lambda : key_by_space(10, 10), lambda : key_by_space(1, 11), lambda : key_by_space(9, 12), lambda : key_by_space(6, 13), lambda : key_by_space(4, 14), lambda : key_by_space(8, 15), lambda : key_by_space(8, 16), lambda : key_by_space(4, 17), lambda : key_by_space(10, 18), lambda : key_by_space(6, 19), lambda : key_by_space(7, 20), lambda : key_by_space(4, 21), lambda : key_by_space(6, 22), lambda : key_by_space(4, 23), lambda : key_by_space(0, 24), lambda : key_by_guess(1, 25, 'y'), lambda : key_by_space(7, 26), lambda : key_by_space(10, 27), lambda : key_by_space(3, 28), lambda : key_by_space(9, 29), lambda : key_by_space(7, 30), lambda : key_by_space(1, 31), lambda : key_by_space(0, 32), lambda : key_by_space(10, 33), lambda : key_by_space(8, 34), lambda : key_by_space(10, 35), lambda : key_by_space(9, 36), lambda : key_by_space(5, 37), lambda : key_by_space(7, 38), lambda : key_by_space(1, 39), lambda : key_by_space(0, 40), lambda : key_by_space(8, 41), lambda : key_by_space(5, 42), lambda : key_by_guess(3, 43, 'n'), lambda : key_by_space(4, 44), lambda : key_by_guess(7, 45, 'y'), lambda : key_by_space(7, 46), lambda : key_by_guess(10, 47, 'e'), lambda : key_by_guess(10, 48, 'r'), lambda : key_by_space(7, 49), lambda : key_by_guess(3, 50, 'i'), lambda : key_by_guess(3, 51, 't'), lambda : key_by_guess(3, 52, 'h'), lambda : key_by_guess(3, 53, 'm'), lambda : key_by_space(4, 54), lambda : key_by_space(1, 55), lambda : key_by_space(10, 56), lambda : key_by_space(1, 57), lambda : key_by_space(0, 58), lambda : key_by_space(9, 59), lambda : key_by_space(3, 60), lambda : key_by_space(7, 61), lambda : key_by_guess(0, 62, 'o'), lambda : key_by_space(0, 63), lambda : key_by_space(10, 64), lambda : key_by_guess(6, 65, 't'), lambda : key_by_space(5, 66), lambda : key_by_guess(10, 67, 'y'), lambda : key_by_space(10, 68), lambda : key_by_space(7, 69), lambda : key_by_space(1, 70), lambda : key_by_space(3, 71), lambda : key_by_space(2, 72), lambda : key_by_space(1, 73), lambda : key_by_space(0, 74), lambda : key_by_guess(10, 75, 'h'), lambda : key_by_guess(10, 76, 'a'), lambda : key_by_guess(10, 77, 'n'), lambda : key_by_space(10, 78), lambda : key_by_guess(3, 79, 'e'), lambda : key_by_guess(3, 80, 'x'), lambda : key_by_guess(3, 81, 't'), lambda : key_by_guess(10, 82, 'e'), lambda : key_by_guess(6, 83, 'c'), lambda : key_by_guess(6, 84, 'e'), # lambda : key_by_guess(6, 68, 't'), ] for i, s in enumerate(MSGS): print '%2d: %s' % (i + 1, ''.join([strxor(k(), ch) for k, ch in itertools.izip(key, s.decode('hex'))])) if __name__ == "__main__": main()

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3

d48c84bf13aa3330a9778d95947b20e6d95dfadf

194

py

Python

polls/tests.py

bunya017/Django-Polls-App

7b71ac9d1ffb66518e1d0345bc0f11ee5907c1be

[ "MIT" ]

null

polls/tests.py

bunya017/Django-Polls-App

7b71ac9d1ffb66518e1d0345bc0f11ee5907c1be

[ "MIT" ]

4

2020-06-05T18:14:33.000Z

2022-01-13T00:45:05.000Z

polls/tests.py

bunya017/Django-Polls-App

7b71ac9d1ffb66518e1d0345bc0f11ee5907c1be

[ "MIT" ]

1

2018-05-23T11:36:36.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.test import TestCase class RandomTestCase(TestCase): def test_one_plus_one1(self): self.assertEqual(1+1, 2)

14.923077

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d4a7c3329ad1568f426144783b7f79e1a58585b3

855

py

Python

clients/client/python/ory_client/__init__.py

ory/sdk-generator

958314d130922ad6f20f439b5230141a832231a5

[ "Apache-2.0" ]

null

clients/client/python/ory_client/__init__.py

ory/sdk-generator

958314d130922ad6f20f439b5230141a832231a5

[ "Apache-2.0" ]

null

clients/client/python/ory_client/__init__.py

ory/sdk-generator

958314d130922ad6f20f439b5230141a832231a5

[ "Apache-2.0" ]

null

# flake8: noqa """ Ory APIs Documentation for all public and administrative Ory APIs. Administrative APIs can only be accessed with a valid Personal Access Token. Public APIs are mostly used in browsers. # noqa: E501 The version of the OpenAPI document: v0.0.1-alpha.187 Contact: [email protected] Generated by: https://openapi-generator.tech """ __version__ = "v0.0.1-alpha.187" # import ApiClient from ory_client.api_client import ApiClient # import Configuration from ory_client.configuration import Configuration # import exceptions from ory_client.exceptions import OpenApiException from ory_client.exceptions import ApiAttributeError from ory_client.exceptions import ApiTypeError from ory_client.exceptions import ApiValueError from ory_client.exceptions import ApiKeyError from ory_client.exceptions import ApiException

29.482759

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d4c40e31402ea3868fe157e89d210c3347a2c155

287

py

Python

design_patterns/pubsub/simple_events/__init__.py

JASTYN/pythonmaster

46638ab09d28b65ce5431cd0759fe6df272fb85d

[ "Apache-2.0", "MIT" ]

3

2017-05-02T10:28:13.000Z

2019-02-06T09:10:11.000Z

design_patterns/pubsub/simple_events/__init__.py

JASTYN/pythonmaster

46638ab09d28b65ce5431cd0759fe6df272fb85d

[ "Apache-2.0", "MIT" ]

2

2017-06-21T20:39:14.000Z

2020-02-25T10:28:57.000Z

design_patterns/pubsub/simple_events/__init__.py

JASTYN/pythonmaster

46638ab09d28b65ce5431cd0759fe6df272fb85d

[ "Apache-2.0", "MIT" ]

2

2016-07-29T04:35:22.000Z

2017-01-18T17:05:36.000Z

class Event: def __init__(self): self.handlers = set() def subscribe(self, func): self.handlers.add(func) def unsubscribe(self, func): self.handlers.remove(func) def emit(self, *args): for func in self.handlers: func(*args)

20.5

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d4ca74c07139ca34712a0c4f0276402a1f20a541

23,370

py

Python

plaidml2/edsl/__init__.py

ZhouXiaolin/plaidml

dac460b6ae19a62299d15eeb17b402d8c26d0c2b

[ "Apache-2.0" ]

4,535

2017-10-20T05:03:57.000Z

2022-03-30T15:42:33.000Z

plaidml2/edsl/__init__.py

ZhouXiaolin/plaidml

dac460b6ae19a62299d15eeb17b402d8c26d0c2b

[ "Apache-2.0" ]

984

2017-10-20T17:16:09.000Z

2022-03-30T05:43:18.000Z

plaidml2/edsl/__init__.py

ZhouXiaolin/plaidml

dac460b6ae19a62299d15eeb17b402d8c26d0c2b

[ "Apache-2.0" ]

492

2017-10-20T18:22:32.000Z

2022-03-30T09:00:05.000Z

# Copyright 2019 Intel Corporation. import logging from collections import namedtuple import numpy as np import six from plaidml2 import DType from plaidml2.core import TensorShape, Buffer from plaidml2.ffi import ForeignObject, ffi, ffi_call, lib logger = logging.getLogger(__name__) def __init(): """Docstring for function plaidml2.edsl.__init""" ffi_call(lib.plaidml_edsl_init) ffi.init_once(__init, 'plaidml_edsl_init') class LogicalShape(ForeignObject): """Docstring for class LogicalShape""" __ffi_del__ = lib.plaidml_logical_shape_free __ffi_repr__ = lib.plaidml_logical_shape_repr def __init__(self, dtype=None, dims=[], ptr=None): if ptr: ffi_obj = ptr elif dtype is not None: raw_dims = ffi.new('int64_t[]', [0 if x is None else x for x in dims]) ffi_obj = ffi_call(lib.plaidml_logical_shape_alloc, dtype, len(dims), raw_dims) else: raise ValueError('One of dtype= or ptr= must be specified.') super(LogicalShape, self).__init__(ffi_obj) @property def dtype(self): return DType(ffi_call(lib.plaidml_logical_shape_get_dtype, self.as_ptr())) @property def ndims(self): return ffi_call(lib.plaidml_logical_shape_get_ndims, self.as_ptr()) @property def int_dims(self): """Returns the dimensions of a LogicalShape as a list. Args: self (pointer): The object pointer for a LogicalShape Returns: list (int): Integer dimensions of the LogicalShape. """ return [ ffi_call(lib.plaidml_logical_shape_get_dim_int, self.as_ptr(), i) for i in range(self.ndims) ] def into_TensorShape(self): return TensorShape( ptr=ffi_call(lib.plaidml_logical_shape_into_tensor_shape, self.as_ptr())) Constraint = namedtuple('Constraint', ['lhs', 'rhs']) def wrap_dim(x): if isinstance(x, six.integer_types): return TensorDim(expr=ffi_call(lib.plaidml_dim_expr_int, x)) return x def dim_op(op, *args): args = [wrap_dim(x) for x in args] raw_args = [x.as_ptr() for x in args] return ffi_call(lib.plaidml_dim_expr_op, op, len(args), raw_args) class TensorDim(ForeignObject): """Docstring for class TensorDim""" __ffi_del__ = lib.plaidml_dim_expr_free __ffi_repr__ = lib.plaidml_dim_expr_repr def __init__(self, expr=None): if expr is None: expr = ffi_call(lib.plaidml_dim_expr_none) super(TensorDim, self).__init__(expr) def _bind(self, expr): self.take_ptr(expr) def __neg__(self): return TensorDim(dim_op(lib.PLAIDML_INT_OP_NEG, self)) def __add__(self, other): return TensorDim(dim_op(lib.PLAIDML_INT_OP_ADD, self, other)) def __radd__(self, other): return TensorDim(dim_op(lib.PLAIDML_INT_OP_ADD, other, self)) def __sub__(self, other): return TensorDim(dim_op(lib.PLAIDML_INT_OP_SUB, self, other)) def __rsub__(self, other): return TensorDim(dim_op(lib.PLAIDML_INT_OP_SUB, other, self)) def __mul__(self, other): return TensorDim(dim_op(lib.PLAIDML_INT_OP_MUL, self, other)) def __rmul__(self, other): return TensorDim(dim_op(lib.PLAIDML_INT_OP_MUL, other, self)) def __floordiv__(self, other): return TensorDim(dim_op(lib.PLAIDML_INT_OP_DIV, self, other)) def __rfloordiv__(self, other): return TensorDim(dim_op(lib.PLAIDML_INT_OP_DIV, other, self)) def wrap_poly(x): if isinstance(x, six.integer_types): return TensorIndex(expr=ffi_call(lib.plaidml_poly_expr_literal, x)) if isinstance(x, TensorDim): return TensorIndex(expr=ffi_call(lib.plaidml_poly_expr_dim, x.as_ptr())) return x def poly_op(op, *args): args = [wrap_poly(x) for x in args] raw_args = [x.as_ptr() for x in args] return ffi_call(lib.plaidml_poly_expr_op, op, len(args), raw_args) class TensorIndex(ForeignObject): """Docstring for class TensorIndex""" __ffi_del__ = lib.plaidml_poly_expr_free __ffi_repr__ = lib.plaidml_poly_expr_repr def __init__(self, expr=None, name=''): if expr is None: expr = ffi_call(lib.plaidml_poly_expr_index, name.encode()) super(TensorIndex, self).__init__(expr) def __lt__(self, rhs): return Constraint(self, wrap_dim(rhs)) def __neg__(self): return TensorIndex(poly_op(lib.PLAIDML_INT_OP_NEG, self)) def __add__(self, rhs): return TensorIndex(poly_op(lib.PLAIDML_INT_OP_ADD, self, rhs)) def __radd__(self, lhs): return TensorIndex(poly_op(lib.PLAIDML_INT_OP_ADD, lhs, self)) def __sub__(self, rhs): return TensorIndex(poly_op(lib.PLAIDML_INT_OP_SUB, self, rhs)) def __rsub__(self, lhs): return TensorIndex(poly_op(lib.PLAIDML_INT_OP_SUB, lhs, self)) def __mul__(self, rhs): return TensorIndex(poly_op(lib.PLAIDML_INT_OP_MUL, self, rhs)) def __rmul__(self, lhs): return TensorIndex(poly_op(lib.PLAIDML_INT_OP_MUL, lhs, self)) def __floordiv__(self, rhs): return TensorIndex(poly_op(lib.PLAIDML_INT_OP_DIV, self, rhs)) def __rfloordiv__(self, lhs): return TensorIndex(poly_op(lib.PLAIDML_INT_OP_DIV, lhs, self)) class _IndexMap(ForeignObject): __ffi_del__ = lib.plaidml_expr_free __ffi_repr__ = lib.plaidml_expr_repr def __init__(self, ref, key): if isinstance(key, tuple) or isinstance(key, list): idxs = key else: idxs = [key] idxs = [wrap_poly(x) for x in idxs] raw_idxs = [x.as_ptr() for x in idxs] expr = ffi_call(lib.plaidml_expr_index_map, ref.as_ptr(), len(idxs), raw_idxs) super(_IndexMap, self).__init__(expr) class _SizeMap(ForeignObject): __ffi_del__ = lib.plaidml_expr_free __ffi_repr__ = lib.plaidml_expr_repr def __init__(self, dims): dims = [wrap_dim(x) for x in dims] raw_dims = [x.as_ptr() for x in dims] expr = ffi_call(lib.plaidml_expr_size_map, len(dims), raw_dims) super(_SizeMap, self).__init__(expr) class _Contraction(ForeignObject): __ffi_del__ = lib.plaidml_expr_free __ffi_repr__ = lib.plaidml_expr_repr def __init__(self, agg_op, combo_op, src_idxs, sink_idxs, sink_sizes, name): src_idxs = [x.as_ptr() for x in src_idxs] expr = ffi_call( lib.plaidml_expr_contraction, agg_op, combo_op, sink_idxs.as_ptr(), sink_sizes.as_ptr(), len(src_idxs), src_idxs, name.encode(), ) super(_Contraction, self).__init__(expr) _ContractionPart = namedtuple('_ContractionPart', ['op', 'args']) class IndexedTensor(object): """Docstring for class IndexedTensor""" def __init__(self, impl, tensor=None): self._impl = impl self._tensor = tensor def __repr__(self): return repr(self._impl) # Represents an aggregation_op of SUM in a contraction def __iadd__(self, rhs): return IndexedTensor(self._make_contraction(lib.PLAIDML_AGG_OP_SUM, rhs)) # Represents an aggregation_op of PROD in a contraction def __imul__(self, rhs): return IndexedTensor(self._make_contraction(lib.PLAIDML_AGG_OP_PROD, rhs)) # Represents an aggregation_op of MAX in a contraction def __ge__(self, rhs): self._tensor._set_contraction(self._make_contraction(lib.PLAIDML_AGG_OP_MAX, rhs)) # Represents an aggregation_op of MIN in a contraction def __le__(self, rhs): self._tensor._set_contraction(self._make_contraction(lib.PLAIDML_AGG_OP_MIN, rhs)) # Represents a combo_op of PLUS in a contraction def __add__(self, rhs): return IndexedTensor(_ContractionPart(lib.PLAIDML_COMBO_OP_ADD, (self, rhs))) # Represents a combo_op of MULTIPLY in a contraction def __mul__(self, rhs): return IndexedTensor(_ContractionPart(lib.PLAIDML_COMBO_OP_MUL, (self, rhs))) # Represents a combo_op of EQ in a contraction def __eq__(self, rhs): return IndexedTensor(_ContractionPart(lib.PLAIDML_COMBO_OP_EQ, (self, rhs))) def _make_contraction(self, agg_op, rhs): # Extract combo_op and inputs if isinstance(rhs._impl, _IndexMap): # Unary op combo_op = lib.PLAIDML_COMBO_OP_NONE inputs = [rhs._impl] elif isinstance(rhs._impl, _ContractionPart): # Binary/Ternary op combo_op = rhs._impl.op inputs = [x._impl for x in rhs._impl.args] else: raise ValueError('Invalid impl') return _Contraction( agg_op, combo_op, inputs, self._impl, _SizeMap(self._tensor._dims), self._tensor._name, ) class Tensor(ForeignObject): """Docstring for class Tensor""" __ffi_del__ = lib.plaidml_expr_free __ffi_repr__ = lib.plaidml_expr_repr _dims = None _is_contraction = False def __init__(self, shape=None, dims=None, expr=None, value=None, name='', buffer=None): self._name = name self._buffer = buffer if shape: if buffer is None: raw_buffer = ffi.NULL else: raw_buffer = buffer.as_ptr() expr = ffi_call(lib.plaidml_expr_placeholder, shape.as_ptr(), raw_buffer, name.encode()) elif dims is not None: self._dims = dims expr = None elif value is not None: if isinstance(value, six.integer_types): expr = ffi_call(lib.plaidml_expr_int, value) elif isinstance(value, float): expr = ffi_call(lib.plaidml_expr_float, value) else: raise TypeError('Invalid type for value={}'.format(value)) elif expr is None: raise ValueError('One of dims=, shape=, or expr= must be specified.') super(Tensor, self).__init__(expr) def set_param_value(self, buffer): # Changes the value of a parameter tensor (i.e. one explicitly set to a buffer value) # Illegal on other tensors ffi_call(lib.plaidml_expr_param_reset, self.__ffi_obj__, buffer.as_ptr()) def __hash__(self): return hash((self.as_ptr(), self._dims, self._is_contraction)) def __getitem__(self, key): return IndexedTensor(_IndexMap(self, key), tensor=self) def __setitem__(self, key, value): if isinstance(value._impl, _Contraction): # standard contraction self._set_contraction(value._impl) elif isinstance(value, Tensor): pass elif isinstance(value._impl, _IndexMap): # Unary ASSIGN contraction self._set_contraction( _Contraction( lib.PLAIDML_AGG_OP_ASSIGN, lib.PLAIDML_COMBO_OP_NONE, [value._impl], _IndexMap(self, key), _SizeMap(self._dims), self._name, )) elif isinstance(value._impl, _ContractionPart): # Binary or ternary ASSIGN contraction self._set_contraction( _Contraction( lib.PLAIDML_AGG_OP_ASSIGN, value._impl.op, [x._impl for x in value._impl.args], _IndexMap(self, key), _SizeMap(self._dims), self._name, )) else: raise ValueError('Invalid impl when assigning to a Tensor (Type: {})'.format( type(value._impl))) def _set_contraction(self, cion): self._is_contraction = True self.take_ptr(cion) # Represents an eltwise negation def __neg__(self): return call('neg', self) # Represents an eltwise bit_not def __invert__(self): return call('bit_not', self) # Represents an eltwise addition def __add__(self, rhs): return call('add', self, rhs) def __radd__(self, lhs): return call('add', lhs, self) # Represents an eltwise subtraction def __sub__(self, rhs): return call('sub', self, rhs) def __rsub__(self, lhs): return call('sub', lhs, self) # Represents an eltwise multiplication def __mul__(self, rhs): return call('mul', self, rhs) def __rmul__(self, lhs): return call('mul', lhs, self) # Represents an eltwise division def __div__(self, rhs): return call('div', self, rhs) def __rdiv__(self, lhs): return call('div', lhs, self) # Represents an eltwise division def __truediv__(self, rhs): return call('div', self, rhs) def __rtruediv__(self, lhs): return call('div', lhs, self) # Represents an eltwise cmp_eq def __eq__(self, rhs): return call('cmp_eq', self, rhs) # Represents an eltwise cmp_ne def __ne__(self, rhs): return call('cmp_ne', self, rhs) # Represents an eltwise cmp_lt def __lt__(self, rhs): return call('cmp_lt', self, rhs) # Represents an eltwise cmp_gt def __gt__(self, rhs): return call('cmp_gt', self, rhs) # Represents an eltwise cmp_le def __le__(self, rhs): return call('cmp_le', self, rhs) # Represents an eltwise cmp_ge def __ge__(self, rhs): return call('cmp_ge', self, rhs) # Represents an eltwise bit_left def __lshift__(self, rhs): return call('bit_left', self, rhs) def __rlshift__(self, lhs): return call('bit_left', lhs, self) # Represents an eltwise bit_right def __rshift__(self, rhs): return call('bit_right', self, rhs) def __rrshift__(self, lhs): return call('bit_right', lhs, self) # Represents an eltwise bit_and def __and__(self, rhs): return call('bit_and', self, rhs) def __rand__(self, lhs): return call('bit_and', lhs, self) # Represents an eltwise bit_or def __or__(self, rhs): return call('bit_or', self, rhs) def __ror__(self, lhs): return call('bit_or', lhs, self) # Represents an eltwise bit_xor def __xor__(self, rhs): return call('bit_xor', self, rhs) def __rxor__(self, lhs): return call('bit_xor', lhs, self) # Enable no_reduce on a contraction def no_reduce(self): if not self._is_contraction: raise TypeError('no_reduce can only be specified on a contraction.') ffi_call(lib.plaidml_expr_contraction_set_no_reduce, self.as_ptr(), True) return self # Set use_default on a contraction def use_default(self, rhs): if not self._is_contraction: raise TypeError('use_default can only be specified on a contraction.') ffi_call(lib.plaidml_expr_contraction_set_use_default, self.as_ptr(), rhs.as_ptr()) return self def add_constraint(self, constraint): ffi_call( lib.plaidml_expr_contraction_add_constraint, self.as_ptr(), constraint.lhs.as_ptr(), constraint.rhs.as_ptr(), ) def add_constraints(self, constraints): for constraint in constraints: self.add_constraint(constraint) # Return the tensor's shape @property def shape(self): return LogicalShape(ptr=ffi_call(lib.plaidml_expr_get_shape, self.as_ptr())) # Verify that the specified dims match the dims of this tensor. def bind_dims(self, *dims): raw_dims = [x.as_ptr() for x in dims] ffi_call(lib.plaidml_expr_bind_dims, self.as_ptr(), len(raw_dims), raw_dims) # bind a concrete shape to this tensor def bind(self, shape): ffi_call(lib.plaidml_expr_bind_shape, self.as_ptr(), shape.as_ptr()) class TensorRef: """Docstring for class TensorRef""" def __init__(self, tensor): self.tensor = tensor def __hash__(self): return hash(ffi_call(lib.plaidml_expr_ptr, self.tensor.as_ptr())) def __eq__(self, other): if isinstance(other, Tensor): return self.__hash__() == TensorRef(other).__hash__() return self.__hash__() == other.__hash__() class Value(ForeignObject): """Docstring for class Value""" __ffi_del__ = lib.plaidml_value_free __ffi_repr__ = lib.plaidml_value_repr def __init__(self, value): # logger.debug('Value({})'.format(value)) if isinstance(value, np.ndarray): if value.ndim == 0: value = value.item() else: value = value.tolist() if value is None: ffi_obj = ffi_call(lib.plaidml_value_none) elif isinstance(value, (six.integer_types, bool)): ffi_obj = ffi_call(lib.plaidml_value_int, value) elif isinstance(value, float): ffi_obj = ffi_call(lib.plaidml_value_float, value) elif isinstance(value, TensorDim): ffi_obj = ffi_call(lib.plaidml_value_dim, value.as_ptr()) elif isinstance(value, Tensor): ffi_obj = ffi_call(lib.plaidml_value_expr, value.as_ptr()) elif isinstance(value, (list, tuple)): self._elts = [Value(x) for x in value] raw_elts = [x.as_ptr() for x in self._elts] ffi_obj = ffi_call(lib.plaidml_value_tuple, len(raw_elts), raw_elts) elif isinstance(value, six.string_types): ffi_obj = ffi_call(lib.plaidml_value_str, value.encode('utf-8')) elif isinstance(value, ffi.CData) and ffi.typeof(value) is ffi.typeof('plaidml_value*'): ffi_obj = value else: raise TypeError('Unsupported type {} for value={}'.format(type(value), value)) super(Value, self).__init__(ffi_obj) def as_tensor(self): return Tensor(expr=ffi_call(lib.plaidml_value_expr_get, self.as_ptr())) def TensorOutput(*args): return Tensor(dims=args) def TensorDims(count): return [TensorDim() for i in range(count)] def TensorIndexes(count): return [TensorIndex() for i in range(count)] class ProgramArgument: """Docstring for class ProgramArgument""" def __init__(self, arg): self.is_input = arg.is_input self.ref = TensorRef(Tensor(expr=ffi_call(lib.plaidml_expr_clone, arg.tensor))) self.shape = LogicalShape(ptr=ffi_call(lib.plaidml_logical_shape_clone, arg.shape)) if arg.buffer: tensor_shape = self.shape.into_TensorShape() self.buffer = Buffer(tensor_shape, ptr=ffi_call(lib.plaidml_buffer_clone, arg.buffer)) else: self.buffer = None class Program(ForeignObject): """Docstring for class Program""" __ffi_del__ = lib.plaidml_program_free __ffi_repr__ = lib.plaidml_program_repr def __init__(self, name, outputs, updates=[]): raw_outputs = [x.as_ptr() for x in outputs] dst_updates = [x[0].as_ptr() for x in updates] src_updates = [x[1].as_ptr() for x in updates] raw_args = ffi.new('plaidml_program_args**') ffi_obj = ffi_call( lib.plaidml_program_evaluate, name.encode(), len(raw_outputs), raw_outputs, len(updates), src_updates, dst_updates, raw_args, ) self.args = [ProgramArgument(raw_args[0].args[i]) for i in range(raw_args[0].nargs)] ffi_call(lib.plaidml_program_args_free, raw_args[0]) super(Program, self).__init__(ffi_obj) @property def inputs(self): return [x for x in self.args if x.is_input] @property def outputs(self): return [x for x in self.args if not x.is_input] def wrap_tensor(x): if isinstance(x, six.integer_types): return Tensor(expr=ffi_call(lib.plaidml_expr_int, x)) if np.issubdtype(type(x), np.integer): return Tensor(expr=ffi_call(lib.plaidml_expr_int, x.item())) if isinstance(x, float): return Tensor(expr=ffi_call(lib.plaidml_expr_float, x)) if isinstance(x, TensorDim): return Tensor(expr=ffi_call(lib.plaidml_expr_dim, x.as_ptr())) if isinstance(x, Tensor): return x raise TypeError('Unexpected type for call argument: {}. fn: {}, args: {}, bad arg: {}'.format( type(x), fn, args, x)) def call(fn, *args): args = [wrap_tensor(x) for x in args] raw_args = [x.as_ptr() for x in args] return Tensor(expr=ffi_call(lib.plaidml_expr_call, fn.encode(), len(args), raw_args)) def cast(x, dtype): return Tensor(expr=ffi_call(lib.plaidml_expr_cast, wrap_tensor(x).as_ptr(), dtype)) def as_bool(x): return cast(x, DType.BOOLEAN) def as_float(x, bit_size): map = { 16: DType.FLOAT16, 32: DType.FLOAT32, 64: DType.FLOAT64, } dtype = map.get(bit_size) if not dtype: raise 'Unsupport bit_size for as_float' return cast(x, dtype) def as_int(x, bit_size): map = { 8: DType.INT8, 16: DType.INT16, 32: DType.INT32, 64: DType.INT64, } dtype = map.get(bit_size) if not dtype: raise 'Unsupport bit_size for as_int' return cast(x, dtype) def as_uint(x, bit_size): map = { 8: DType.UINT8, 16: DType.UINT16, 32: DType.UINT32, 64: DType.UINT64, } dtype = map.get(bit_size) if not dtype: raise 'Unsupport bit_size for as_uint' return cast(x, dtype) def ceil(x): return call('ceil', x) def cond(lhs, rhs, true_case): return IndexedTensor(_ContractionPart(lib.PLAIDML_COMBO_OP_COND, (lhs, rhs, true_case))) def cos(x): return call('cos', x) def exp(x): return call('exp', x) def floor(x): return call('floor', x) def gather(x, y): return call('gather', x, y) def gradients(loss, variables): wrts = [x.as_ptr() for x in variables] raw_grads = ffi.new('plaidml_expr*[]', len(wrts)) ffi_call( lib.plaidml_expr_gradient, len(wrts), wrts, loss.as_ptr(), raw_grads, ) return [Tensor(expr=x) for x in raw_grads] def ident(x): return call('ident', x) def index(x, axis): return call('index', x, axis) def jacobian(loss, variables): wrts = [x.as_ptr() for x in variables] raw_grads = ffi.new('plaidml_expr*[]', len(wrts)) ffi_call( lib.plaidml_expr_jacobian, len(wrts), wrts, loss.as_ptr(), raw_grads, ) return [Tensor(expr=x) for x in raw_grads] def log(x): return call('log', x) def max(x, y): return call('max', x, y) def min(x, y): return call('min', x, y) def pow(x, y): return call('pow', x, y) def prng(state, shape): return call('prng', state, *shape) def reshape(x, dims): return call('reshape', x, *dims) def round(x): return call('round', x) def scatter(x, y, z): return call('scatter', x, y, z) def select(cond, true_case, false_case): return call('cond', cond, true_case, false_case) def shape(x): return call('shape', x) def sin(x): return call('sin', x) def sqrt(x): return call('sqrt', x) def tan(x): return call('tan', x) def tanh(x): return call('tanh', x)

29.2125

98

0.631365

3,163

23,370

4.319001

0.095795

0.070273

0.035869

0.059732

0.489056

0.398873

0.319523

0.257229

0.208037

0.178025

0

0.00336

0.261361

23,370

799

99

29.249061

0.788032

0.082285

0

0.234637

0

0.039418

0.001032

0

1

0.240223

false

0.001862

0.013035

0.167598

0.52514

0

null

0

null

0

1

0

1

0

3

d4f79ba15482dc239d99373d27359b1da32e98ba

1,172

py

Python

kissim/cli/encode.py

AJK-dev/kissim

15375000d47b5d5485322fc725809f853a3659de

[ "MIT" ]

15

2020-06-23T14:46:07.000Z

2022-02-03T04:23:56.000Z

kissim/cli/encode.py

volkamerlab/kissim

35198a5efd4b651dd3952bf26ac5098fd1c4dfaa

[ "MIT" ]

66

2020-11-05T11:45:21.000Z

2021-12-15T12:11:20.000Z

kissim/cli/encode.py

AJK-dev/kissim

15375000d47b5d5485322fc725809f853a3659de

[ "MIT" ]

3

2021-02-27T12:56:27.000Z

2022-02-03T04:23:57.000Z

""" kissim.cli.encode Encode structures (generate fingerprints) from CLI arguments. """ import numpy as np from kissim.api import encode from kissim.cli.utils import configure_logger def encode_from_cli(args): """ Encode structures. Parameters ---------- args : argsparse.Namespace CLI arguments. """ configure_logger(args.output) structure_klifs_ids = _parse_structure_klifs_ids(args.input) encode(structure_klifs_ids, args.output, args.local, args.ncores) def _parse_structure_klifs_ids(args_input): """ Parse structure KLIFS IDs. Parameters ---------- args_input : list of str Either path to txt file with structure KLIFS ID (one ID per row) or one or more structure KLIFS IDs. Returns ------- list of int List of structure KLIFS IDs. """ if len(args_input) == 1: try: structure_klifs_ids = [int(args_input[0])] except ValueError: structure_klifs_ids = np.genfromtxt(fname=args_input[0], dtype=int).tolist() else: structure_klifs_ids = [int(i) for i in args_input] return structure_klifs_ids

22.113208

97

0.654437

150

1,172

4.913333

0.413333

0.227951

0.253731

0.089552

0.084125

0

0.003398

0.246587

1,172

52

98

22.538462

0.831257

0.353242

0

1

0

1

0.125

false

0

0.1875

0

0.375

0

null

1

0

1

0

null

0

3

be004417db97934b47985fcf6b9c727896247c48

220

py

Python

CodeChef/problems/IMDB/main.py

object-oriented-human/competitive

9e761020e887d8980a39a64eeaeaa39af0ecd777

[ "MIT" ]

1

2022-02-21T15:43:01.000Z

CodeChef/problems/IMDB/main.py

foooop/competitive

9e761020e887d8980a39a64eeaeaa39af0ecd777

[ "MIT" ]

null

CodeChef/problems/IMDB/main.py

foooop/competitive

9e761020e887d8980a39a64eeaeaa39af0ecd777

[ "MIT" ]

null

tc = int(input()) while tc: tc -= 1 best = 0 n, x = map(int, input().split()) for i in range(n): s, r = map(int, input().split()) if x >= s: best = max(best, r) print(best)

22

40

0.445455

35

220

2.8

0.571429

0.244898

0.22449

0.326531

0

0.014388

0.368182

220

10

41

22

0.690647

0

1

0

false

0

0.1

0

null

1

0

null

0

3

be05ff012f40e6f5a4b594110683f58699e3309e

412

py

Python

top/api/rest/FenxiaoRefundMessageAddRequest.py

forestsheep/middleman

34d54f9ffd9d7bcd775a8dcce4f00dd6c5bb1acd

[ "MIT" ]

null

top/api/rest/FenxiaoRefundMessageAddRequest.py

forestsheep/middleman

34d54f9ffd9d7bcd775a8dcce4f00dd6c5bb1acd

[ "MIT" ]

null

top/api/rest/FenxiaoRefundMessageAddRequest.py

forestsheep/middleman

34d54f9ffd9d7bcd775a8dcce4f00dd6c5bb1acd

[ "MIT" ]

null

''' Created by auto_sdk on 2016.04.13 ''' from top.api.base import RestApi class FenxiaoRefundMessageAddRequest(RestApi): def __init__(self,domain='gw.api.taobao.com',port=80): RestApi.__init__(self,domain, port) self.image = None self.message_content = None self.sub_order_id = None def getapiname(self): return 'taobao.fenxiao.refund.message.add' def getMultipartParas(self): return ['image']

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null

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be193942a6e1e90e82121a1e52ce25e1006effc3

488

py

Python

wasatch/ROI.py

adiravishankara/Wasatch.PY

058b3de2c9399e9aea6347fa360f9c7dbbf296aa

[ "MIT" ]

9

2018-10-31T11:38:18.000Z

2021-11-23T19:20:54.000Z

wasatch/ROI.py

adiravishankara/Wasatch.PY

058b3de2c9399e9aea6347fa360f9c7dbbf296aa

[ "MIT" ]

3

2018-11-01T10:28:53.000Z

2022-03-21T17:40:05.000Z

wasatch/ROI.py

adiravishankara/Wasatch.PY

058b3de2c9399e9aea6347fa360f9c7dbbf296aa

[ "MIT" ]

4

2018-08-03T08:46:08.000Z

2022-03-23T01:09:27.000Z

## # This class encapsulates a Region Of Interest, which may be either horizontal # (pixels) or vertical (rows/lines). class ROI: def __init__(self, start, end): self.start = start self.end = end self.len = end - start + 1 def valid(self): return self.start >= 0 and self.start < self.end def crop(self, spectrum): return spectrum[self.start:self.end+1] def contains(self, value): return self.start <= value <= self.end

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0.266393

488

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0

null

0

null

0

1

0

1

0

3

be2be4ab8f891e1d119f0c6cbe7bc4c566727644

547

py

Python

py/tests/test_valid_parentheses.py

Dragonway/LeetCode

53ed9e9bcc1ed6955b013e0d37d2a684c2ec7135

[ "MIT" ]

null

py/tests/test_valid_parentheses.py

Dragonway/LeetCode

53ed9e9bcc1ed6955b013e0d37d2a684c2ec7135

[ "MIT" ]

null

py/tests/test_valid_parentheses.py

Dragonway/LeetCode

53ed9e9bcc1ed6955b013e0d37d2a684c2ec7135

[ "MIT" ]

null

import unittest from py.tests.utils import test from py import valid_parentheses as vp class TestValidParentheses(unittest.TestCase): @test(vp.Solution.is_valid) def test_valid_parentheses(self) -> None: test("()", result=True) test("()[]{}", result=True) test("(]", result=False) test("([)]", result=False) test("{[]}", result=True) test("", result=True) test(")()", result=False) test("(())((())))", result=False)

30.388889

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0.521024

54

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0.284698

0.199288

0.256228

0.412811

0

0.303473

547

17

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32.176471

0.737533

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0

0.357143

0

null

1

0

null

0

3

0780e5ec41de515a271f19ff0412527f1e12bd8f

287

py

Python

health_care/health_care/doctype/practitioner/practitioner.py

Jnalis/frappe-health-care

ed347c216f568cc044c1365965d35945697cf7dc

[ "MIT" ]

null

health_care/health_care/doctype/practitioner/practitioner.py

Jnalis/frappe-health-care

ed347c216f568cc044c1365965d35945697cf7dc

[ "MIT" ]

null

health_care/health_care/doctype/practitioner/practitioner.py

Jnalis/frappe-health-care

ed347c216f568cc044c1365965d35945697cf7dc

[ "MIT" ]

null

# Copyright (c) 2022, Juve and contributors # For license information, please see license.txt # import frappe from frappe.model.document import Document class Practitioner(Document): def before_save(self): self.practitioner_full_name = f'{self.first_name} {self.second_name or ""}'

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287

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false

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0.25

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null

0

1

0

1

0

3

0785a9ecd33b25242a059e89ddfae1ca8b3c0298

518

py

Python

tests/workflow/test_workflow_ingest_accepted_submission.py

elifesciences/elife-bot

d3a102c8030e4b7ec83cbd45e5f839dba4f9ffd9

[ "MIT" ]

17

2015-02-10T07:10:29.000Z

2021-05-14T22:24:45.000Z

tests/workflow/test_workflow_ingest_accepted_submission.py

elifesciences/elife-bot

d3a102c8030e4b7ec83cbd45e5f839dba4f9ffd9

[ "MIT" ]

459

2015-03-31T18:24:23.000Z

2022-03-30T19:44:40.000Z

tests/workflow/test_workflow_ingest_accepted_submission.py

elifesciences/elife-bot

d3a102c8030e4b7ec83cbd45e5f839dba4f9ffd9

[ "MIT" ]

9

2015-04-18T16:57:31.000Z

2020-10-30T11:49:13.000Z

import unittest import tests.settings_mock as settings_mock from tests.activity.classes_mock import FakeLogger from workflow.workflow_IngestAcceptedSubmission import workflow_IngestAcceptedSubmission class TestWorkflowIngestAcceptedSubmission(unittest.TestCase): def setUp(self): self.workflow = workflow_IngestAcceptedSubmission( settings_mock, FakeLogger(), None, None, None, None ) def test_init(self): self.assertEqual(self.workflow.name, "IngestAcceptedSubmission")

34.533333

88

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518

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0.45098

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518

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0

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0

0.363636

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0.636364

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null

0

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null

0

1

0

1

0

3

078c924330df0f8ffe4dba08335fcd4ca824b7c3

125

py

Python

electrondiffraction/__init__.py

drix00/ElectronDiffraction

9dc258d90d0b73745b904b1bb6e1e3e794403a27

[ "Apache-2.0" ]

1

2020-07-23T12:24:09.000Z

python/xraynomenclature/xraynomenclature/__init__.py

drix00/xray-nomenclature

92d3e15b9ebb505482a084522c6639ba09bbdd02

[ "Apache-2.0" ]

null

python/xraynomenclature/xraynomenclature/__init__.py

drix00/xray-nomenclature

92d3e15b9ebb505482a084522c6639ba09bbdd02

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- __author__ = """Hendrix Demers""" __email__ = '[email protected]' __version__ = '0.1.0'

20.833333

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0.8125

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0

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125

5

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25

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0.168

0

0.470588

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false

0

1

0

null

1

0

1

0

null

0

3

07b69c4f080b6ae079038a0250ba13b6035a0cda

191

py

Python

scripts/transpose.py

saikrishnarallabandi/python_connectionist

e3f8f92c8de865190ad727951eb2b0e514248afc

[ "Apache-2.0" ]

null

scripts/transpose.py

saikrishnarallabandi/python_connectionist

e3f8f92c8de865190ad727951eb2b0e514248afc

[ "Apache-2.0" ]

null

scripts/transpose.py

saikrishnarallabandi/python_connectionist

e3f8f92c8de865190ad727951eb2b0e514248afc

[ "Apache-2.0" ]

null

import numpy g = open('/home/srallaba/mgc/transposed/arctic_a0404.mgc','w') x = numpy.loadtxt('/home/srallaba/mgc_spaces/arctic_a0404.mgc') numpy.savetxt(g, numpy.transpose(x)) g.close()

31.833333

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0.73822

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0.217391

0

0.045455

0.078534

191

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0.2

0

null

0

1

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1

0

1

null

0

3

07bd6b46f25dcc6cd80de3063def3b5b81539dae

161

py

Python

text_classification/config.py

MardanovTimur/kaggle

62392863a07fcc5de9821c28cf9c6dbbf39ced59

[ "MIT" ]

null

text_classification/config.py

MardanovTimur/kaggle

62392863a07fcc5de9821c28cf9c6dbbf39ced59

[ "MIT" ]

null

text_classification/config.py

MardanovTimur/kaggle

62392863a07fcc5de9821c28cf9c6dbbf39ced59

[ "MIT" ]

null

import logging import pathlib logging.basicConfig(level=logging.INFO) # Dirs ROOT_DIR = pathlib.Path(__file__).parent.absolute() DUMP_DIR = ROOT_DIR / 'dumps'

17.888889

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5.409091

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0

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161

8

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20.125

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0.024845

0

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0.4

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null

0

1

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null

0

1

0

3

07de8a38f3e34f5218e591e882773caeb8f88eba

1,256

py

Python

ocdsmerge/exceptions.py

open-contracting/ocds-merge

80c7cb380d191c75f88feefd34b607bc0de13ee1

[ "BSD-3-Clause" ]

4

2017-09-06T06:14:09.000Z

2019-07-05T13:11:40.000Z

ocdsmerge/exceptions.py

open-contracting/ocds-merge

80c7cb380d191c75f88feefd34b607bc0de13ee1

[ "BSD-3-Clause" ]

20

2017-11-25T02:29:41.000Z

2020-01-08T18:45:49.000Z

ocdsmerge/exceptions.py

open-contracting/ocds-merge

80c7cb380d191c75f88feefd34b607bc0de13ee1

[ "BSD-3-Clause" ]

1

2018-11-07T14:05:12.000Z

class OCDSMergeError(Exception): """Base class for exceptions from within this package""" class MissingDateKeyError(OCDSMergeError, KeyError): """Raised when a release is missing a 'date' key""" def __init__(self, key, message): self.key = key self.message = message def __str__(self): return str(self.message) class NonObjectReleaseError(OCDSMergeError, TypeError): """Raised when a release is not an object""" class NullDateValueError(OCDSMergeError, TypeError): """Raised when a release has a null 'date' value""" class NonStringDateValueError(OCDSMergeError, TypeError): """Raised when a release has a non-string 'date' value""" class InconsistentTypeError(OCDSMergeError, TypeError): """Raised when a path is a literal and an object in different releases""" class OCDSMergeWarning(UserWarning): """Base class for warnings from within this package""" class DuplicateIdValueWarning(OCDSMergeWarning): """Used when at least two objects in the same array have the same value for the 'id' field""" def __init__(self, path, id, message): self.path = path self.id = id self.message = message def __str__(self): return str(self.message)

27.304348

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5.684211

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0.215278

0.111111

0

0.204618

1,256

45

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false

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null

0

null

0

1

0

1

0

3

07e312b03c9acc9dee5930a523090053e38045ca

85,560

py

Python

Installation/nnAudio/Spectrogram.py

tasercake/nnAudio

5edc37b7b73674598d533261314429b875ba285d

[ "MIT" ]

null

Installation/nnAudio/Spectrogram.py

tasercake/nnAudio

5edc37b7b73674598d533261314429b875ba285d

[ "MIT" ]

null

Installation/nnAudio/Spectrogram.py

tasercake/nnAudio

5edc37b7b73674598d533261314429b875ba285d

[ "MIT" ]

null

""" Module containing all the spectrogram classes """ # 0.2.0 import torch import torch.nn as nn from torch.nn.functional import conv1d, conv2d, fold import numpy as np from time import time from nnAudio.librosa_functions import * from nnAudio.utils import * sz_float = 4 # size of a float epsilon = 10e-8 # fudge factor for normalization ### --------------------------- Spectrogram Classes ---------------------------### class STFT(torch.nn.Module): """This function is to calculate the short-time Fourier transform (STFT) of the input signal. Input signal should be in either of the following shapes.\n 1. ``(len_audio)``\n 2. ``(num_audio, len_audio)``\n 3. ``(num_audio, 1, len_audio)`` The correct shape will be inferred automatically if the input follows these 3 shapes. Most of the arguments follow the convention from librosa. This class inherits from ``torch.nn.Module``, therefore, the usage is same as ``torch.nn.Module``. Parameters ---------- n_fft : int The window size. Default value is 2048. freq_bins : int Number of frequency bins. Default is ``None``, which means ``n_fft//2+1`` bins. hop_length : int The hop (or stride) size. Default value is ``None`` which is equivalent to ``n_fft//4``. window : str The windowing function for STFT. It uses ``scipy.signal.get_window``, please refer to scipy documentation for possible windowing functions. The default value is 'hann'. freq_scale : 'linear', 'log', or 'no' Determine the spacing between each frequency bin. When `linear` or `log` is used, the bin spacing can be controlled by ``fmin`` and ``fmax``. If 'no' is used, the bin will start at 0Hz and end at Nyquist frequency with linear spacing. center : bool Putting the STFT keneral at the center of the time-step or not. If ``False``, the time index is the beginning of the STFT kernel, if ``True``, the time index is the center of the STFT kernel. Default value if ``True``. pad_mode : str The padding method. Default value is 'reflect'. inverse : bool To activate the iSTFT module or not. By default, it is False to save GPU memory. fmin : int The starting frequency for the lowest frequency bin. If freq_scale is ``no``, this argument does nothing. fmax : int The ending frequency for the highest frequency bin. If freq_scale is ``no``, this argument does nothing. sr : int The sampling rate for the input audio. It is used to calucate the correct ``fmin`` and ``fmax``. Setting the correct sampling rate is very important for calculating the correct frequency. trainable : bool Determine if the STFT kenrels are trainable or not. If ``True``, the gradients for STFT kernels will also be caluclated and the STFT kernels will be updated during model training. Default value is ``False`` output_format : str Control the spectrogram output type, either ``Magnitude``, ``Complex``, or ``Phase``. The output_format can also be changed during the ``forward`` method. verbose : bool If ``True``, it shows layer information. If ``False``, it suppresses all prints device : str Choose which device to initialize this layer. Default value is 'cpu' Returns ------- spectrogram : torch.tensor It returns a tensor of spectrograms. ``shape = (num_samples, freq_bins,time_steps)`` if ``output_format='Magnitude'``; ``shape = (num_samples, freq_bins,time_steps, 2)`` if ``output_format='Complex' or 'Phase'``; Examples -------- >>> spec_layer = Spectrogram.STFT() >>> specs = spec_layer(x) """ def __init__(self, n_fft=2048, win_length=None, freq_bins=None, hop_length=None, window='hann', freq_scale='no', center=True, pad_mode='reflect', iSTFT=False, fmin=50, fmax=6000, sr=22050, trainable=False, output_format="Complex", verbose=True): super().__init__() # Trying to make the default setting same as librosa if win_length==None: win_length = n_fft if hop_length==None: hop_length = int(win_length // 4) self.output_format = output_format self.trainable = trainable self.stride = hop_length self.center = center self.pad_mode = pad_mode self.n_fft = n_fft self.freq_bins = freq_bins self.trainable = trainable self.pad_amount = self.n_fft // 2 self.window = window self.win_length = win_length self.iSTFT = iSTFT self.trainable = trainable start = time() # Create filter windows for stft kernel_sin, kernel_cos, self.bins2freq, self.bin_list, window_mask = create_fourier_kernels(n_fft, win_length=win_length, freq_bins=freq_bins, window=window, freq_scale=freq_scale, fmin=fmin, fmax=fmax, sr=sr, verbose=verbose) kernel_sin = torch.tensor(kernel_sin, dtype=torch.float) kernel_cos = torch.tensor(kernel_cos, dtype=torch.float) # In this way, the inverse kernel and the forward kernel do not share the same memory... kernel_sin_inv = torch.cat((kernel_sin, -kernel_sin[1:-1].flip(0)), 0) kernel_cos_inv = torch.cat((kernel_cos, kernel_cos[1:-1].flip(0)), 0) if iSTFT: self.register_buffer('kernel_sin_inv', kernel_sin_inv.unsqueeze(-1)) self.register_buffer('kernel_cos_inv', kernel_cos_inv.unsqueeze(-1)) # Making all these variables nn.Parameter, so that the model can be used with nn.Parallel # self.kernel_sin = torch.nn.Parameter(self.kernel_sin, requires_grad=self.trainable) # self.kernel_cos = torch.nn.Parameter(self.kernel_cos, requires_grad=self.trainable) # Applying window functions to the Fourier kernels window_mask = torch.tensor(window_mask) wsin = kernel_sin * window_mask wcos = kernel_cos * window_mask if self.trainable==False: self.register_buffer('wsin', wsin) self.register_buffer('wcos', wcos) if self.trainable==True: wsin = torch.nn.Parameter(wsin, requires_grad=self.trainable) wcos = torch.nn.Parameter(wcos, requires_grad=self.trainable) self.register_parameter('wsin', wsin) self.register_parameter('wcos', wcos) # Prepare the shape of window mask so that it can be used later in inverse self.register_buffer('window_mask', window_mask.unsqueeze(0).unsqueeze(-1)) if verbose==True: print("STFT kernels created, time used = {:.4f} seconds".format(time()-start)) else: pass def forward(self, x, output_format=None): """ Convert a batch of waveforms to spectrograms. Parameters ---------- x : torch tensor Input signal should be in either of the following shapes.\n 1. ``(len_audio)``\n 2. ``(num_audio, len_audio)``\n 3. ``(num_audio, 1, len_audio)`` It will be automatically broadcast to the right shape output_format : str Control the type of spectrogram to be return. Can be either ``Magnitude`` or ``Complex`` or ``Phase``. Default value is ``Complex``. """ output_format = output_format or self.output_format self.num_samples = x.shape[-1] x = broadcast_dim(x) if self.center: if self.pad_mode == 'constant': padding = nn.ConstantPad1d(self.pad_amount, 0) elif self.pad_mode == 'reflect': if self.num_samples < self.pad_amount: raise AssertionError("Signal length shorter than reflect padding length (n_fft // 2).") padding = nn.ReflectionPad1d(self.pad_amount) x = padding(x) spec_imag = conv1d(x, self.wsin, stride=self.stride) spec_real = conv1d(x, self.wcos, stride=self.stride) # Doing STFT by using conv1d # remove redundant parts spec_real = spec_real[:, :self.freq_bins, :] spec_imag = spec_imag[:, :self.freq_bins, :] if output_format=='Magnitude': spec = spec_real.pow(2) + spec_imag.pow(2) if self.trainable==True: return torch.sqrt(spec+1e-8) # prevent Nan gradient when sqrt(0) due to output=0 else: return torch.sqrt(spec) elif output_format=='Complex': return torch.stack((spec_real,-spec_imag), -1) # Remember the minus sign for imaginary part elif output_format=='Phase': return torch.atan2(-spec_imag+0.0,spec_real) # +0.0 removes -0.0 elements, which leads to error in calculating phase def inverse(self, X, onesided=True, length=None, refresh_win=True): """ This function is same as the :func:`~nnAudio.Spectrogram.iSTFT` class, which is to convert spectrograms back to waveforms. It only works for the complex value spectrograms. If you have the magnitude spectrograms, please use :func:`~nnAudio.Spectrogram.Griffin_Lim`. Parameters ---------- onesided : bool If your spectrograms only have ``n_fft//2+1`` frequency bins, please use ``onesided=True``, else use ``onesided=False`` length : int To make sure the inverse STFT has the same output length of the original waveform, please set `length` as your intended waveform length. By default, ``length=None``, which will remove ``n_fft//2`` samples from the start and the end of the output. refresh_win : bool Recalculating the window sum square. If you have an input with fixed number of timesteps, you can increase the speed by setting ``refresh_win=False``. Else please keep ``refresh_win=True`` """ if (hasattr(self, 'kernel_sin_inv') != True) or (hasattr(self, 'kernel_cos_inv') != True): raise NameError("Please activate the iSTFT module by setting `iSTFT=True` if you want to use `inverse`") assert X.dim()==4 , "Inverse iSTFT only works for complex number," \ "make sure our tensor is in the shape of (batch, freq_bins, timesteps, 2)."\ "\nIf you have a magnitude spectrogram, please consider using Griffin-Lim." if onesided: X = extend_fbins(X) # extend freq X_real, X_imag = X[:, :, :, 0], X[:, :, :, 1] # broadcast dimensions to support 2D convolution X_real_bc = X_real.unsqueeze(1) X_imag_bc = X_imag.unsqueeze(1) a1 = conv2d(X_real_bc, self.kernel_cos_inv, stride=(1,1)) b2 = conv2d(X_imag_bc, self.kernel_sin_inv, stride=(1,1)) # compute real and imag part. signal lies in the real part real = a1 - b2 real = real.squeeze(-2)*self.window_mask # Normalize the amplitude with n_fft real /= (self.n_fft) # Overlap and Add algorithm to connect all the frames real = overlap_add(real, self.stride) # Prepare the window sumsqure for division # Only need to create this window once to save time # Unless the input spectrograms have different time steps if hasattr(self, 'w_sum')==False or refresh_win==True: self.w_sum = torch_window_sumsquare(self.window_mask.flatten(), X.shape[2], self.stride, self.n_fft).flatten() self.nonzero_indices = (self.w_sum>1e-10) else: pass real[:, self.nonzero_indices] = real[:,self.nonzero_indices].div(self.w_sum[self.nonzero_indices]) # Remove padding if length is None: if self.center: real = real[:, self.pad_amount:-self.pad_amount] else: if self.center: real = real[:, self.pad_amount:self.pad_amount + length] else: real = real[:, :length] return real def extra_repr(self) -> str: return 'n_fft={}, Fourier Kernel size={}, iSTFT={}, trainable={}'.format( self.n_fft, (*self.wsin.shape,), self.iSTFT, self.trainable ) class MelSpectrogram(torch.nn.Module): """This function is to calculate the Melspectrogram of the input signal. Input signal should be in either of the following shapes.\n 1. ``(len_audio)``\n 2. ``(num_audio, len_audio)``\n 3. ``(num_audio, 1, len_audio)`` The correct shape will be inferred automatically if the input follows these 3 shapes. Most of the arguments follow the convention from librosa. This class inherits from ``torch.nn.Module``, therefore, the usage is same as ``torch.nn.Module``. Parameters ---------- sr : int The sampling rate for the input audio. It is used to calculate the correct ``fmin`` and ``fmax``. Setting the correct sampling rate is very important for calculating the correct frequency. n_fft : int The window size for the STFT. Default value is 2048 n_mels : int The number of Mel filter banks. The filter banks maps the n_fft to mel bins. Default value is 128. hop_length : int The hop (or stride) size. Default value is 512. window : str The windowing function for STFT. It uses ``scipy.signal.get_window``, please refer to scipy documentation for possible windowing functions. The default value is 'hann'. center : bool Putting the STFT keneral at the center of the time-step or not. If ``False``, the time index is the beginning of the STFT kernel, if ``True``, the time index is the center of the STFT kernel. Default value if ``True``. pad_mode : str The padding method. Default value is 'reflect'. htk : bool When ``False`` is used, the Mel scale is quasi-logarithmic. When ``True`` is used, the Mel scale is logarithmic. The default value is ``False``. fmin : int The starting frequency for the lowest Mel filter bank. fmax : int The ending frequency for the highest Mel filter bank. trainable_mel : bool Determine if the Mel filter banks are trainable or not. If ``True``, the gradients for Mel filter banks will also be calculated and the Mel filter banks will be updated during model training. Default value is ``False``. trainable_STFT : bool Determine if the STFT kenrels are trainable or not. If ``True``, the gradients for STFT kernels will also be caluclated and the STFT kernels will be updated during model training. Default value is ``False``. verbose : bool If ``True``, it shows layer information. If ``False``, it suppresses all prints. device : str Choose which device to initialize this layer. Default value is 'cpu'. Returns ------- spectrogram : torch.tensor It returns a tensor of spectrograms. shape = ``(num_samples, freq_bins,time_steps)``. Examples -------- >>> spec_layer = Spectrogram.MelSpectrogram() >>> specs = spec_layer(x) """ def __init__(self, sr=22050, n_fft=2048, n_mels=128, hop_length=512, window='hann', center=True, pad_mode='reflect', power=2.0, htk=False, fmin=0.0, fmax=None, norm=1, trainable_mel=False, trainable_STFT=False, verbose=True, **kwargs): super().__init__() self.stride = hop_length self.center = center self.pad_mode = pad_mode self.n_fft = n_fft self.power = power self.trainable_mel = trainable_mel self.trainable_STFT = trainable_STFT self.verbose = verbose # Preparing for the stft layer. No need for center self.stft = STFT(n_fft=n_fft, freq_bins=None, hop_length=hop_length, window=window, freq_scale='no', center=center, pad_mode=pad_mode, sr=sr, trainable=trainable_STFT, output_format="Magnitude", verbose=verbose, **kwargs) # Create filter windows for stft start = time() # Creating kernel for mel spectrogram start = time() mel_basis = mel(sr, n_fft, n_mels, fmin, fmax, htk=htk, norm=norm) mel_basis = torch.tensor(mel_basis) if verbose==True: print("STFT filter created, time used = {:.4f} seconds".format(time()-start)) print("Mel filter created, time used = {:.4f} seconds".format(time()-start)) else: pass if trainable_mel: # Making everything nn.Parameter, so that this model can support nn.DataParallel mel_basis = torch.nn.Parameter(mel_basis, requires_grad=trainable_mel) self.register_parameter('mel_basis', mel_basis) else: self.register_buffer('mel_basis', mel_basis) # if trainable_mel==True: # self.mel_basis = torch.nn.Parameter(self.mel_basis) # if trainable_STFT==True: # self.wsin = torch.nn.Parameter(self.wsin) # self.wcos = torch.nn.Parameter(self.wcos) def forward(self, x): """ Convert a batch of waveforms to Mel spectrograms. Parameters ---------- x : torch tensor Input signal should be in either of the following shapes.\n 1. ``(len_audio)``\n 2. ``(num_audio, len_audio)``\n 3. ``(num_audio, 1, len_audio)`` It will be automatically broadcast to the right shape """ x = broadcast_dim(x) spec = self.stft(x, output_format='Magnitude')**self.power melspec = torch.matmul(self.mel_basis, spec) return melspec def extra_repr(self) -> str: return 'Mel filter banks size = {}, trainable_mel={}'.format( (*self.mel_basis.shape,), self.trainable_mel, self.trainable_STFT ) def to_stft(self, melspec, max_steps=1000, loss_threshold=1e-8, grad_threshold=1e-7, random_start=False, sgd_kwargs=None, eps=1e-12, return_extras=False, verbose=None): """ Best-attempt spectrogram inversion """ def loss_fn(pred, target): pred = pred.unsqueeze(1) if pred.ndim == 3 else pred target = target.unsqueeze(1) if target.ndim == 3 else target loss = (pred - target).pow(2).sum(-2).mean() return loss verbose = verbose or self.verbose # SGD arguments default_sgd_kwargs = dict(lr=1e3, momentum=0.9) if sgd_kwargs: default_sgd_kwargs.update(sgd_kwargs) sgd_kwargs = default_sgd_kwargs mel_basis = self.mel_basis.detach() shape = melspec.shape batch_size, n_mels, time = shape[0], shape[-2], shape[-1] _, n_freq = mel_basis.shape melspec = melspec.detach().view(-1, n_mels, time) if random_start: pred_stft_shape = (batch_size, n_freq, time) pred_stft = torch.zeros(*pred_stft_shape, dtype=torch.float32, device=mel_basis.device).normal_().clamp_(eps) else: pred_stft = (torch.pinverse(mel_basis) @ melspec).clamp(eps) pred_stft = nn.Parameter(pred_stft, requires_grad=True) sgd_kwargs["lr"] = sgd_kwargs["lr"] * batch_size optimizer = torch.optim.SGD([pred_stft], **sgd_kwargs) losses = [] for i in range(max_steps): optimizer.zero_grad() pred_mel = mel_basis @ pred_stft loss = loss_fn(pred_mel, melspec) losses.append(loss.item()) loss.backward() optimizer.step() # Check conditions if not loss.isfinite(): raise OverflowError("Overflow encountered in Mel -> STFT optimization") if loss_threshold and loss < loss_threshold: if verbose: print(f"Target error of {loss_threshold} reached. Stopping optimization.") break if grad_threshold and pred_stft.grad.max() < grad_threshold: if verbose: print(f"Target max gradient of {grad_threshold} reached. Stopping optimization.") break pred_stft = pred_stft.detach().clamp(eps) ** 0.5 pred_stft = pred_stft.view((*shape[:-2], n_freq, time)) if return_extras: return pred_stft, pred_mel.detach(), losses return pred_stft def inverse(self, melspec, mel_inversion_params=None, stft_inversion_params=None): default_mel_inversion_params = {} default_stft_inversion_params = {} mel_inversion_params = mel_inversion_params or {} stft_inversion_params = stft_inversion_params or {} if mel_inversion_params: mel_inversion_params = {**default_mel_inversion_params, **mel_inversion_params} if stft_inversion_params: stft_inversion_params = {**default_stft_inversion_params, **stft_inversion_params} recon_stft = self.to_stft(melspec, **mel_inversion_params) recon_audio = self.stft.inverse(recon_stft, **stft_inversion_params) return recon_audio class MFCC(torch.nn.Module): """This function is to calculate the Mel-frequency cepstral coefficients (MFCCs) of the input signal. This algorithm first extracts Mel spectrograms from the audio clips, then the discrete cosine transform is calcuated to obtain the final MFCCs. Therefore, the Mel spectrogram part can be made trainable using ``trainable_mel`` and ``trainable_STFT``. It only support type-II DCT at the moment. Input signal should be in either of the following shapes.\n 1. ``(len_audio)``\n 2. ``(num_audio, len_audio)``\n 3. ``(num_audio, 1, len_audio)`` The correct shape will be inferred autommatically if the input follows these 3 shapes. Most of the arguments follow the convention from librosa. This class inherits from ``torch.nn.Module``, therefore, the usage is same as ``torch.nn.Module``. Parameters ---------- sr : int The sampling rate for the input audio. It is used to calculate the correct ``fmin`` and ``fmax``. Setting the correct sampling rate is very important for calculating the correct frequency. n_mfcc : int The number of Mel-frequency cepstral coefficients norm : string The default value is 'ortho'. Normalization for DCT basis **kwargs Other arguments for Melspectrogram such as n_fft, n_mels, hop_length, and window Returns ------- MFCCs : torch.tensor It returns a tensor of MFCCs. shape = ``(num_samples, n_mfcc, time_steps)``. Examples -------- >>> spec_layer = Spectrogram.MFCC() >>> mfcc = spec_layer(x) """ def __init__(self, sr=22050, n_mfcc=20, norm='ortho', verbose=True, ref=1.0, amin=1e-10, top_db=80.0, **kwargs): super().__init__() self.melspec_layer = MelSpectrogram(sr=sr, verbose=verbose, **kwargs) self.m_mfcc = n_mfcc # attributes that will be used for _power_to_db if amin <= 0: raise ParameterError('amin must be strictly positive') amin = torch.tensor([amin]) ref = torch.abs(torch.tensor([ref])) self.register_buffer('amin', amin) self.register_buffer('ref', ref) self.top_db = top_db self.n_mfcc = n_mfcc def _power_to_db(self, S): ''' Refer to https://librosa.github.io/librosa/_modules/librosa/core/spectrum.html#power_to_db for the original implmentation. ''' log_spec = 10.0 * torch.log10(torch.max(S, self.amin)) log_spec -= 10.0 * torch.log10(torch.max(self.amin, self.ref)) if self.top_db is not None: if self.top_db < 0: raise ParameterError('top_db must be non-negative') # make the dim same as log_spec so that it can be broadcasted batch_wise_max = log_spec.flatten(1).max(1)[0].unsqueeze(1).unsqueeze(1) log_spec = torch.max(log_spec, batch_wise_max - self.top_db) return log_spec def _dct(self, x, norm=None): ''' Refer to https://github.com/zh217/torch-dct for the original implmentation. ''' x = x.permute(0,2,1) # make freq the last axis, since dct applies to the frequency axis x_shape = x.shape N = x_shape[-1] v = torch.cat([x[:, :, ::2], x[:, :, 1::2].flip([2])], dim=2) Vc = torch.rfft(v, 1, onesided=False) # TODO: Can make the W_r and W_i trainable here k = - torch.arange(N, dtype=x.dtype, device=x.device)[None, :] * np.pi / (2 * N) W_r = torch.cos(k) W_i = torch.sin(k) V = Vc[:, :, :, 0] * W_r - Vc[:, :, :, 1] * W_i if norm == 'ortho': V[:, :, 0] /= np.sqrt(N) * 2 V[:, :, 1:] /= np.sqrt(N / 2) * 2 V = 2 * V return V.permute(0,2,1) # swapping back the time axis and freq axis def forward(self, x): """ Convert a batch of waveforms to MFCC. Parameters ---------- x : torch tensor Input signal should be in either of the following shapes.\n 1. ``(len_audio)``\n 2. ``(num_audio, len_audio)``\n 3. ``(num_audio, 1, len_audio)`` It will be automatically broadcast to the right shape """ x = self.melspec_layer(x) x = self._power_to_db(x) x = self._dct(x, norm='ortho')[:,:self.m_mfcc,:] return x def extra_repr(self) -> str: return 'n_mfcc = {}'.format( (self.n_mfcc) ) class CQT1992(torch.nn.Module): """ This alogrithm uses the method proposed in [1]. Please refer to :func:`~nnAudio.Spectrogram.CQT1992v2` for a more computational and memory efficient version. [1] Brown, Judith C.C. and Miller Puckette. “An efficient algorithm for the calculation of a constant Q transform.” (1992). This function is to calculate the CQT of the input signal. Input signal should be in either of the following shapes.\n 1. ``(len_audio)``\n 2. ``(num_audio, len_audio)``\n 3. ``(num_audio, 1, len_audio)`` The correct shape will be inferred autommatically if the input follows these 3 shapes. Most of the arguments follow the convention from librosa. This class inherits from ``torch.nn.Module``, therefore, the usage is same as ``torch.nn.Module``. Parameters ---------- sr : int The sampling rate for the input audio. It is used to calucate the correct ``fmin`` and ``fmax``. Setting the correct sampling rate is very important for calculating the correct frequency. hop_length : int The hop (or stride) size. Default value is 512. fmin : float The frequency for the lowest CQT bin. Default is 32.70Hz, which coresponds to the note C0. fmax : float The frequency for the highest CQT bin. Default is ``None``, therefore the higest CQT bin is inferred from the ``n_bins`` and ``bins_per_octave``. If ``fmax`` is not ``None``, then the argument ``n_bins`` will be ignored and ``n_bins`` will be calculated automatically. Default is ``None`` n_bins : int The total numbers of CQT bins. Default is 84. Will be ignored if ``fmax`` is not ``None``. bins_per_octave : int Number of bins per octave. Default is 12. trainable_STFT : bool Determine if the time to frequency domain transformation kernel for the input audio is trainable or not. Default is ``False`` trainable_CQT : bool Determine if the frequency domain CQT kernel is trainable or not. Default is ``False`` norm : int Normalization for the CQT kernels. ``1`` means L1 normalization, and ``2`` means L2 normalization. Default is ``1``, which is same as the normalization used in librosa. window : str The windowing function for CQT. It uses ``scipy.signal.get_window``, please refer to scipy documentation for possible windowing functions. The default value is 'hann'. center : bool Putting the CQT keneral at the center of the time-step or not. If ``False``, the time index is the beginning of the CQT kernel, if ``True``, the time index is the center of the CQT kernel. Default value if ``True``. pad_mode : str The padding method. Default value is 'reflect'. trainable : bool Determine if the CQT kernels are trainable or not. If ``True``, the gradients for CQT kernels will also be caluclated and the CQT kernels will be updated during model training. Default value is ``False``. output_format : str Determine the return type. ``Magnitude`` will return the magnitude of the STFT result, shape = ``(num_samples, freq_bins,time_steps)``; ``Complex`` will return the STFT result in complex number, shape = ``(num_samples, freq_bins,time_steps, 2)``; ``Phase`` will return the phase of the STFT reuslt, shape = ``(num_samples, freq_bins,time_steps, 2)``. The complex number is stored as ``(real, imag)`` in the last axis. Default value is 'Magnitude'. verbose : bool If ``True``, it shows layer information. If ``False``, it suppresses all prints Returns ------- spectrogram : torch.tensor It returns a tensor of spectrograms. shape = ``(num_samples, freq_bins,time_steps)`` if ``output_format='Magnitude'``; shape = ``(num_samples, freq_bins,time_steps, 2)`` if ``output_format='Complex' or 'Phase'``; Examples -------- >>> spec_layer = Spectrogram.CQT1992v2() >>> specs = spec_layer(x) """ def __init__(self, sr=22050, hop_length=512, fmin=220, fmax=None, n_bins=84, trainable_STFT=False, trainable_CQT=False, bins_per_octave=12, output_format='Complex', norm=1, window='hann', center=True, pad_mode='reflect'): super().__init__() # norm arg is not functioning self.hop_length = hop_length self.center = center self.pad_mode = pad_mode self.norm = norm self.output_format = output_format # creating kernels for CQT Q = 1/(2**(1/bins_per_octave)-1) print("Creating CQT kernels ...", end='\r') start = time() cqt_kernels, self.kernel_width, lenghts = create_cqt_kernels(Q, sr, fmin, n_bins, bins_per_octave, norm, window, fmax) self.register_buffer('lenghts', lenghts) cqt_kernels = fft(cqt_kernels)[:,:self.kernel_width//2+1] print("CQT kernels created, time used = {:.4f} seconds".format(time()-start)) # creating kernels for stft # self.cqt_kernels_real*=lenghts.unsqueeze(1)/self.kernel_width # Trying to normalize as librosa # self.cqt_kernels_imag*=lenghts.unsqueeze(1)/self.kernel_width print("Creating STFT kernels ...", end='\r') start = time() kernel_sin, kernel_cos, self.bins2freq, _, window = create_fourier_kernels(self.kernel_width, window='ones', freq_scale='no') # Converting kernels from numpy arrays to torch tensors wsin = torch.tensor(kernel_sin * window) wcos = torch.tensor(kernel_cos * window) cqt_kernels_real = torch.tensor(cqt_kernels.real.astype(np.float32)) cqt_kernels_imag = torch.tensor(cqt_kernels.imag.astype(np.float32)) if trainable_STFT: wsin = torch.nn.Parameter(wsin, requires_grad=trainable_kernels) wcos = torch.nn.Parameter(wcos, requires_grad=trainable_kernels) self.register_parameter('wsin', wsin) self.register_parameter('wcos', wcos) else: self.register_buffer('wsin', wsin) self.register_buffer('wcos', wcos) if trainable_CQT: cqt_kernels_real = torch.nn.Parameter(cqt_kernels_real, requires_grad=trainable_kernels) cqt_kernels_imag = torch.nn.Parameter(cqt_kernels_imag, requires_grad=trainable_kernels) self.register_parameter('cqt_kernels_real', cqt_kernels_real) self.register_parameter('cqt_kernels_imag', cqt_kernels_imag) else: self.register_buffer('cqt_kernels_real', cqt_kernels_real) self.register_buffer('cqt_kernels_imag', cqt_kernels_imag) print("STFT kernels created, time used = {:.4f} seconds".format(time()-start)) def forward(self, x, output_format=None): """ Convert a batch of waveforms to CQT spectrograms. Parameters ---------- x : torch tensor Input signal should be in either of the following shapes.\n 1. ``(len_audio)``\n 2. ``(num_audio, len_audio)``\n 3. ``(num_audio, 1, len_audio)`` It will be automatically broadcast to the right shape """ output_format = output_format or self.output_format x = broadcast_dim(x) if self.center: if self.pad_mode == 'constant': padding = nn.ConstantPad1d(self.kernel_width//2, 0) elif self.pad_mode == 'reflect': padding = nn.ReflectionPad1d(self.kernel_width//2) x = padding(x) # STFT fourier_real = conv1d(x, self.wcos, stride=self.hop_length) fourier_imag = conv1d(x, self.wsin, stride=self.hop_length) # CQT CQT_real, CQT_imag = complex_mul((self.cqt_kernels_real, self.cqt_kernels_imag), (fourier_real, fourier_imag)) CQT = torch.stack((CQT_real,-CQT_imag),-1) if self.norm: CQT = CQT/self.kernel_width*torch.sqrt(self.lenghts.view(-1,1,1)) else: CQT = CQT*torch.sqrt(self.lenghts.view(-1,1,1)) if output_format=='Magnitude': # Getting CQT Amplitude return torch.sqrt(CQT.pow(2).sum(-1)) elif output_format=='Complex': return CQT elif output_format=='Phase': phase_real = torch.cos(torch.atan2(CQT_imag,CQT_real)) phase_imag = torch.sin(torch.atan2(CQT_imag,CQT_real)) return torch.stack((phase_real,phase_imag), -1) def extra_repr(self) -> str: return 'STFT kernel size = {}, CQT kernel size = {}'.format( (*self.wcos.shape,), (*self.cqt_kernels_real.shape,) ) class CQT2010(torch.nn.Module): """ This algorithm is using the resampling method proposed in [1]. Instead of convoluting the STFT results with a gigantic CQT kernel covering the full frequency spectrum, we make a small CQT kernel covering only the top octave. Then we keep downsampling the input audio by a factor of 2 to convoluting it with the small CQT kernel. Everytime the input audio is downsampled, the CQT relative to the downsampled input is equavalent to the next lower octave. The kernel creation process is still same as the 1992 algorithm. Therefore, we can reuse the code from the 1992 alogrithm [2] [1] Schörkhuber, Christian. “CONSTANT-Q TRANSFORM TOOLBOX FOR MUSIC PROCESSING.” (2010). [2] Brown, Judith C.C. and Miller Puckette. “An efficient algorithm for the calculation of a constant Q transform.” (1992). early downsampling factor is to downsample the input audio to reduce the CQT kernel size. The result with and without early downsampling are more or less the same except in the very low frequency region where freq < 40Hz. """ def __init__(self, sr=22050, hop_length=512, fmin=32.70, fmax=None, n_bins=84, bins_per_octave=12, norm=True, basis_norm=1, window='hann', pad_mode='reflect', trainable_STFT=False, trainable_CQT=False, output_format='Complex', earlydownsample=True, verbose=True): super().__init__() self.norm = norm # Now norm is used to normalize the final CQT result by dividing n_fft # basis_norm is for normalizing basis self.hop_length = hop_length self.pad_mode = pad_mode self.n_bins = n_bins self.output_format = output_format self.earlydownsample = earlydownsample # TODO: activate early downsampling later if possible # This will be used to calculate filter_cutoff and creating CQT kernels Q = 1/(2**(1/bins_per_octave)-1) # Creating lowpass filter and make it a torch tensor if verbose==True: print("Creating low pass filter ...", end='\r') start = time() lowpass_filter = torch.tensor(create_lowpass_filter( band_center = 0.5, kernelLength=256, transitionBandwidth=0.001 ) ) # Broadcast the tensor to the shape that fits conv1d self.register_buffer('lowpass_filter', lowpass_filter[None,None,:]) if verbose==True: print("Low pass filter created, time used = {:.4f} seconds".format(time()-start)) # Calculate num of filter requires for the kernel # n_octaves determines how many resampling requires for the CQT n_filters = min(bins_per_octave, n_bins) self.n_octaves = int(np.ceil(float(n_bins) / bins_per_octave)) # print("n_octaves = ", self.n_octaves) # Calculate the lowest frequency bin for the top octave kernel self.fmin_t = fmin*2**(self.n_octaves-1) remainder = n_bins % bins_per_octave # print("remainder = ", remainder) if remainder==0: # Calculate the top bin frequency fmax_t = self.fmin_t*2**((bins_per_octave-1)/bins_per_octave) else: # Calculate the top bin frequency fmax_t = self.fmin_t*2**((remainder-1)/bins_per_octave) self.fmin_t = fmax_t/2**(1-1/bins_per_octave) # Adjusting the top minium bins if fmax_t > sr/2: raise ValueError('The top bin {}Hz has exceeded the Nyquist frequency, \ please reduce the n_bins'.format(fmax_t)) if self.earlydownsample == True: # Do early downsampling if this argument is True if verbose==True: print("Creating early downsampling filter ...", end='\r') start = time() sr, self.hop_length, self.downsample_factor, early_downsample_filter, \ self.earlydownsample = get_early_downsample_params(sr, hop_length, fmax_t, Q, self.n_octaves, verbose) self.register_buffer('early_downsample_filter', early_downsample_filter) if verbose==True: print("Early downsampling filter created, \ time used = {:.4f} seconds".format(time()-start)) else: self.downsample_factor=1. # Preparing CQT kernels if verbose==True: print("Creating CQT kernels ...", end='\r') start = time() # print("Q = {}, fmin_t = {}, n_filters = {}".format(Q, self.fmin_t, n_filters)) basis, self.n_fft, _ = create_cqt_kernels(Q, sr, self.fmin_t, n_filters, bins_per_octave, norm=basis_norm, topbin_check=False) # This is for the normalization in the end freqs = fmin * 2.0 ** (np.r_[0:n_bins] / np.float(bins_per_octave)) lenghts = np.ceil(Q * sr / freqs) lenghts = torch.tensor(lenghts).float() self.register_buffer('lenghts', lenghts) self.basis=basis fft_basis = fft(basis)[:,:self.n_fft//2+1] # Convert CQT kenral from time domain to freq domain # These cqt_kernel is already in the frequency domain cqt_kernels_real = torch.tensor(fft_basis.real.astype(np.float32)) cqt_kernels_imag = torch.tensor(fft_basis.imag.astype(np.float32)) if verbose==True: print("CQT kernels created, time used = {:.4f} seconds".format(time()-start)) # print("Getting cqt kernel done, n_fft = ",self.n_fft) # Preparing kernels for Short-Time Fourier Transform (STFT) # We set the frequency range in the CQT filter instead of here. if verbose==True: print("Creating STFT kernels ...", end='\r') start = time() kernel_sin, kernel_cos, self.bins2freq, _, window = create_fourier_kernels(self.n_fft, window='ones', freq_scale='no') wsin = kernel_sin * window wcos = kernel_cos * window wsin = torch.tensor(wsin) wcos = torch.tensor(wcos) if verbose==True: print("STFT kernels created, time used = {:.4f} seconds".format(time()-start)) if trainable_STFT: wsin = torch.nn.Parameter(wsin, requires_grad=trainable_kernels) wcos = torch.nn.Parameter(wcos, requires_grad=trainable_kernels) self.register_parameter('wsin', wsin) self.register_parameter('wcos', wcos) else: self.register_buffer('wsin', wsin) self.register_buffer('wcos', wcos) if trainable_CQT: cqt_kernels_real = torch.nn.Parameter(cqt_kernels_real, requires_grad=trainable_kernels) cqt_kernels_imag = torch.nn.Parameter(cqt_kernels_imag, requires_grad=trainable_kernels) self.register_parameter('cqt_kernels_real', cqt_kernels_real) self.register_parameter('cqt_kernels_imag', cqt_kernels_imag) else: self.register_buffer('cqt_kernels_real', cqt_kernels_real) self.register_buffer('cqt_kernels_imag', cqt_kernels_imag) # If center==True, the STFT window will be put in the middle, and paddings at the beginning # and ending are required. if self.pad_mode == 'constant': self.padding = nn.ConstantPad1d(self.n_fft//2, 0) elif self.pad_mode == 'reflect': self.padding = nn.ReflectionPad1d(self.n_fft//2) def forward(self,x, output_format=None): """ Convert a batch of waveforms to CQT spectrograms. Parameters ---------- x : torch tensor Input signal should be in either of the following shapes.\n 1. ``(len_audio)``\n 2. ``(num_audio, len_audio)``\n 3. ``(num_audio, 1, len_audio)`` It will be automatically broadcast to the right shape """ output_format = output_format or self.output_format x = broadcast_dim(x) if self.earlydownsample==True: x = downsampling_by_n(x, self.early_downsample_filter, self.downsample_factor) hop = self.hop_length CQT = get_cqt_complex(x, self.wcos, self.wsin, hop, self.padding) # Getting the top octave CQT x_down = x # Preparing a new variable for downsampling for i in range(self.n_octaves-1): hop = hop//2 x_down = downsampling_by_2(x_down, self.lowpass_filter) CQT1 = get_cqt_complex(x_down, self.wcos, self.wsin, hop, self.padding) CQT = torch.cat((CQT1, CQT),1) CQT = CQT[:,-self.n_bins:,:] # Removing unwanted top bins if self.norm: CQT = CQT/self.n_fft*torch.sqrt(self.lenghts.view(-1,1,1)) else: CQT = CQT*torch.sqrt(self.lenghts.view(-1,1,1)) # Normalizing the output with the downsampling factor, 2**(self.n_octaves-1) # is make it same mag as 1992 CQT = CQT*self.downsample_factor if output_format=='Magnitude': # Getting CQT Amplitude return torch.sqrt(CQT.pow(2).sum(-1)) elif output_format=='Complex': return CQT elif output_format=='Phase': phase_real = torch.cos(torch.atan2(CQT[:,:,:,1],CQT[:,:,:,0])) phase_imag = torch.sin(torch.atan2(CQT[:,:,:,1],CQT[:,:,:,0])) return torch.stack((phase_real,phase_imag), -1) def extra_repr(self) -> str: return 'STFT kernel size = {}, CQT kernel size = {}'.format( (*self.wcos.shape,), (*self.cqt_kernels_real.shape,) ) class CQT1992v2(torch.nn.Module): """This function is to calculate the CQT of the input signal. Input signal should be in either of the following shapes.\n 1. ``(len_audio)``\n 2. ``(num_audio, len_audio)``\n 3. ``(num_audio, 1, len_audio)`` The correct shape will be inferred autommatically if the input follows these 3 shapes. Most of the arguments follow the convention from librosa. This class inherits from ``torch.nn.Module``, therefore, the usage is same as ``torch.nn.Module``. This alogrithm uses the method proposed in [1]. I slightly modify it so that it runs faster than the original 1992 algorithm, that is why I call it version 2. [1] Brown, Judith C.C. and Miller Puckette. “An efficient algorithm for the calculation of a constant Q transform.” (1992). Parameters ---------- sr : int The sampling rate for the input audio. It is used to calucate the correct ``fmin`` and ``fmax``. Setting the correct sampling rate is very important for calculating the correct frequency. hop_length : int The hop (or stride) size. Default value is 512. fmin : float The frequency for the lowest CQT bin. Default is 32.70Hz, which coresponds to the note C0. fmax : float The frequency for the highest CQT bin. Default is ``None``, therefore the higest CQT bin is inferred from the ``n_bins`` and ``bins_per_octave``. If ``fmax`` is not ``None``, then the argument ``n_bins`` will be ignored and ``n_bins`` will be calculated automatically. Default is ``None`` n_bins : int The total numbers of CQT bins. Default is 84. Will be ignored if ``fmax`` is not ``None``. bins_per_octave : int Number of bins per octave. Default is 12. norm : int Normalization for the CQT kernels. ``1`` means L1 normalization, and ``2`` means L2 normalization. Default is ``1``, which is same as the normalization used in librosa. window : str The windowing function for CQT. It uses ``scipy.signal.get_window``, please refer to scipy documentation for possible windowing functions. The default value is 'hann'. center : bool Putting the CQT keneral at the center of the time-step or not. If ``False``, the time index is the beginning of the CQT kernel, if ``True``, the time index is the center of the CQT kernel. Default value if ``True``. pad_mode : str The padding method. Default value is 'reflect'. trainable : bool Determine if the CQT kernels are trainable or not. If ``True``, the gradients for CQT kernels will also be caluclated and the CQT kernels will be updated during model training. Default value is ``False``. output_format : str Determine the return type. ``Magnitude`` will return the magnitude of the STFT result, shape = ``(num_samples, freq_bins,time_steps)``; ``Complex`` will return the STFT result in complex number, shape = ``(num_samples, freq_bins,time_steps, 2)``; ``Phase`` will return the phase of the STFT reuslt, shape = ``(num_samples, freq_bins,time_steps, 2)``. The complex number is stored as ``(real, imag)`` in the last axis. Default value is 'Magnitude'. verbose : bool If ``True``, it shows layer information. If ``False``, it suppresses all prints Returns ------- spectrogram : torch.tensor It returns a tensor of spectrograms. shape = ``(num_samples, freq_bins,time_steps)`` if ``output_format='Magnitude'``; shape = ``(num_samples, freq_bins,time_steps, 2)`` if ``output_format='Complex' or 'Phase'``; Examples -------- >>> spec_layer = Spectrogram.CQT1992v2() >>> specs = spec_layer(x) """ def __init__(self, sr=22050, hop_length=512, fmin=32.70, fmax=None, n_bins=84, bins_per_octave=12, norm=1, window='hann', center=True, pad_mode='reflect', trainable=False, output_format='Magnitude', verbose=True): super().__init__() # norm arg is not functioning self.trainable = trainable self.hop_length = hop_length self.center = center self.pad_mode = pad_mode self.output_format = output_format # creating kernels for CQT Q = 1/(2**(1/bins_per_octave)-1) if verbose==True: print("Creating CQT kernels ...", end='\r') start = time() cqt_kernels, self.kernel_width, lenghts = create_cqt_kernels(Q, sr, fmin, n_bins, bins_per_octave, norm, window, fmax) self.register_buffer('lenghts', lenghts) cqt_kernels_real = torch.tensor(cqt_kernels.real).unsqueeze(1) cqt_kernels_imag = torch.tensor(cqt_kernels.imag).unsqueeze(1) if trainable: cqt_kernels_real = torch.nn.Parameter(cqt_kernels_real, requires_grad=trainable_kernels) cqt_kernels_imag = torch.nn.Parameter(cqt_kernels_imag, requires_grad=trainable_kernels) self.register_parameter('cqt_kernels_real', cqt_kernels_real) self.register_parameter('cqt_kernels_imag', cqt_kernels_imag) else: self.register_buffer('cqt_kernels_real', cqt_kernels_real) self.register_buffer('cqt_kernels_imag', cqt_kernels_imag) if verbose==True: print("CQT kernels created, time used = {:.4f} seconds".format(time()-start)) def forward(self,x, output_format=None): """ Convert a batch of waveforms to CQT spectrograms. Parameters ---------- x : torch tensor Input signal should be in either of the following shapes.\n 1. ``(len_audio)``\n 2. ``(num_audio, len_audio)``\n 3. ``(num_audio, 1, len_audio)`` It will be automatically broadcast to the right shape """ output_format = output_format or self.output_format x = broadcast_dim(x) if self.center: if self.pad_mode == 'constant': padding = nn.ConstantPad1d(self.kernel_width//2, 0) elif self.pad_mode == 'reflect': padding = nn.ReflectionPad1d(self.kernel_width//2) x = padding(x) # CQT CQT_real = conv1d(x, self.cqt_kernels_real, stride=self.hop_length) * \ torch.sqrt(self.lenghts.view(-1,1)) CQT_imag = -conv1d(x, self.cqt_kernels_imag, stride=self.hop_length) * \ torch.sqrt(self.lenghts.view(-1,1)) if output_format=='Magnitude': if self.trainable==False: # Getting CQT Amplitude CQT = torch.sqrt(CQT_real.pow(2)+CQT_imag.pow(2)) else: CQT = torch.sqrt(CQT_real.pow(2)+CQT_imag.pow(2)+1e-8) return CQT elif output_format=='Complex': return torch.stack((CQT_real,CQT_imag),-1) elif output_format=='Phase': phase_real = torch.cos(torch.atan2(CQT_imag,CQT_real)) phase_imag = torch.sin(torch.atan2(CQT_imag,CQT_real)) return torch.stack((phase_real,phase_imag), -1) def forward_manual(self,x): """ Method for debugging """ x = broadcast_dim(x) if self.center: if self.pad_mode == 'constant': padding = nn.ConstantPad1d(self.kernel_width//2, 0) elif self.pad_mode == 'reflect': padding = nn.ReflectionPad1d(self.kernel_width//2) x = padding(x) # CQT CQT_real = conv1d(x, self.cqt_kernels_real, stride=self.hop_length) CQT_imag = conv1d(x, self.cqt_kernels_imag, stride=self.hop_length) # Getting CQT Amplitude CQT = torch.sqrt(CQT_real.pow(2)+CQT_imag.pow(2)) return CQT*torch.sqrt(self.lenghts.view(-1,1)) class CQT2010v2(torch.nn.Module): """This function is to calculate the CQT of the input signal. Input signal should be in either of the following shapes.\n 1. ``(len_audio)``\n 2. ``(num_audio, len_audio)``\n 3. ``(num_audio, 1, len_audio)`` The correct shape will be inferred autommatically if the input follows these 3 shapes. Most of the arguments follow the convention from librosa. This class inherits from ``torch.nn.Module``, therefore, the usage is same as ``torch.nn.Module``. This alogrithm uses the resampling method proposed in [1]. Instead of convoluting the STFT results with a gigantic CQT kernel covering the full frequency spectrum, we make a small CQT kernel covering only the top octave. Then we keep downsampling the input audio by a factor of 2 to convoluting it with the small CQT kernel. Everytime the input audio is downsampled, the CQT relative to the downsampled input is equivalent to the next lower octave. The kernel creation process is still same as the 1992 algorithm. Therefore, we can reuse the code from the 1992 alogrithm [2] [1] Schörkhuber, Christian. “CONSTANT-Q TRANSFORM TOOLBOX FOR MUSIC PROCESSING.” (2010). [2] Brown, Judith C.C. and Miller Puckette. “An efficient algorithm for the calculation of a constant Q transform.” (1992). Early downsampling factor is to downsample the input audio to reduce the CQT kernel size. The result with and without early downsampling are more or less the same except in the very low frequency region where freq < 40Hz. Parameters ---------- sr : int The sampling rate for the input audio. It is used to calucate the correct ``fmin`` and ``fmax``. Setting the correct sampling rate is very important for calculating the correct frequency. hop_length : int The hop (or stride) size. Default value is 512. fmin : float The frequency for the lowest CQT bin. Default is 32.70Hz, which coresponds to the note C0. fmax : float The frequency for the highest CQT bin. Default is ``None``, therefore the higest CQT bin is inferred from the ``n_bins`` and ``bins_per_octave``. If ``fmax`` is not ``None``, then the argument ``n_bins`` will be ignored and ``n_bins`` will be calculated automatically. Default is ``None`` n_bins : int The total numbers of CQT bins. Default is 84. Will be ignored if ``fmax`` is not ``None``. bins_per_octave : int Number of bins per octave. Default is 12. norm : bool Normalization for the CQT result. basis_norm : int Normalization for the CQT kernels. ``1`` means L1 normalization, and ``2`` means L2 normalization. Default is ``1``, which is same as the normalization used in librosa. window : str The windowing function for CQT. It uses ``scipy.signal.get_window``, please refer to scipy documentation for possible windowing functions. The default value is 'hann' pad_mode : str The padding method. Default value is 'reflect'. trainable : bool Determine if the CQT kernels are trainable or not. If ``True``, the gradients for CQT kernels will also be caluclated and the CQT kernels will be updated during model training. Default value is ``False`` output_format : str Determine the return type. 'Magnitude' will return the magnitude of the STFT result, shape = ``(num_samples, freq_bins, time_steps)``; 'Complex' will return the STFT result in complex number, shape = ``(num_samples, freq_bins, time_steps, 2)``; 'Phase' will return the phase of the STFT reuslt, shape = ``(num_samples, freq_bins,time_steps, 2)``. The complex number is stored as ``(real, imag)`` in the last axis. Default value is 'Magnitude'. verbose : bool If ``True``, it shows layer information. If ``False``, it suppresses all prints. device : str Choose which device to initialize this layer. Default value is 'cpu'. Returns ------- spectrogram : torch.tensor It returns a tensor of spectrograms. shape = ``(num_samples, freq_bins,time_steps)`` if ``output_format='Magnitude'``; shape = ``(num_samples, freq_bins,time_steps, 2)`` if ``output_format='Complex' or 'Phase'``; Examples -------- >>> spec_layer = Spectrogram.CQT2010v2() >>> specs = spec_layer(x) """ # To DO: # need to deal with the filter and other tensors def __init__(self, sr=22050, hop_length=512, fmin=32.70, fmax=None, n_bins=84, bins_per_octave=12, norm=True, basis_norm=1, window='hann', pad_mode='reflect', earlydownsample=True, trainable=False, output_format='Magnitude', verbose=True): super().__init__() self.norm = norm # Now norm is used to normalize the final CQT result by dividing n_fft # basis_norm is for normalizing basis self.hop_length = hop_length self.pad_mode = pad_mode self.n_bins = n_bins self.earlydownsample = earlydownsample # We will activate early downsampling later if possible self.trainable = trainable self.output_format = output_format # It will be used to calculate filter_cutoff and creating CQT kernels Q = 1/(2**(1/bins_per_octave)-1) # Creating lowpass filter and make it a torch tensor if verbose==True: print("Creating low pass filter ...", end='\r') start = time() # self.lowpass_filter = torch.tensor( # create_lowpass_filter( # band_center = 0.50, # kernelLength=256, # transitionBandwidth=0.001)) lowpass_filter = torch.tensor(create_lowpass_filter( band_center = 0.50, kernelLength=256, transitionBandwidth=0.001) ) # Broadcast the tensor to the shape that fits conv1d self.register_buffer('lowpass_filter', lowpass_filter[None,None,:]) if verbose==True: print("Low pass filter created, time used = {:.4f} seconds".format(time()-start)) # Caluate num of filter requires for the kernel # n_octaves determines how many resampling requires for the CQT n_filters = min(bins_per_octave, n_bins) self.n_octaves = int(np.ceil(float(n_bins) / bins_per_octave)) if verbose==True: print("num_octave = ", self.n_octaves) # Calculate the lowest frequency bin for the top octave kernel self.fmin_t = fmin*2**(self.n_octaves-1) remainder = n_bins % bins_per_octave # print("remainder = ", remainder) if remainder==0: # Calculate the top bin frequency fmax_t = self.fmin_t*2**((bins_per_octave-1)/bins_per_octave) else: # Calculate the top bin frequency fmax_t = self.fmin_t*2**((remainder-1)/bins_per_octave) self.fmin_t = fmax_t/2**(1-1/bins_per_octave) # Adjusting the top minium bins if fmax_t > sr/2: raise ValueError('The top bin {}Hz has exceeded the Nyquist frequency, \ please reduce the n_bins'.format(fmax_t)) if self.earlydownsample == True: # Do early downsampling if this argument is True if verbose==True: print("Creating early downsampling filter ...", end='\r') start = time() sr, self.hop_length, self.downsample_factor, early_downsample_filter, \ self.earlydownsample = get_early_downsample_params(sr, hop_length, fmax_t, Q, self.n_octaves, verbose) self.register_buffer('early_downsample_filter', early_downsample_filter) if verbose==True: print("Early downsampling filter created, \ time used = {:.4f} seconds".format(time()-start)) else: self.downsample_factor=1. # Preparing CQT kernels if verbose==True: print("Creating CQT kernels ...", end='\r') start = time() basis, self.n_fft, lenghts = create_cqt_kernels(Q, sr, self.fmin_t, n_filters, bins_per_octave, norm=basis_norm, topbin_check=False) # For normalization in the end freqs = fmin * 2.0 ** (np.r_[0:n_bins] / np.float(bins_per_octave)) lenghts = np.ceil(Q * sr / freqs) lenghts = torch.tensor(lenghts).float() self.register_buffer('lenghts', lenghts) self.basis = basis # These cqt_kernel is already in the frequency domain cqt_kernels_real = torch.tensor(basis.real.astype(np.float32)).unsqueeze(1) cqt_kernels_imag = torch.tensor(basis.imag.astype(np.float32)).unsqueeze(1) if trainable: cqt_kernels_real = torch.nn.Parameter(cqt_kernels_real, requires_grad=trainable_kernels) cqt_kernels_imag = torch.nn.Parameter(cqt_kernels_imag, requires_grad=trainable_kernels) self.register_parameter('cqt_kernels_real', cqt_kernels_real) self.register_parameter('cqt_kernels_imag', cqt_kernels_imag) else: self.register_buffer('cqt_kernels_real', cqt_kernels_real) self.register_buffer('cqt_kernels_imag', cqt_kernels_imag) if verbose==True: print("CQT kernels created, time used = {:.4f} seconds".format(time()-start)) # print("Getting cqt kernel done, n_fft = ",self.n_fft) # If center==True, the STFT window will be put in the middle, and paddings at the beginning # and ending are required. if self.pad_mode == 'constant': self.padding = nn.ConstantPad1d(self.n_fft//2, 0) elif self.pad_mode == 'reflect': self.padding = nn.ReflectionPad1d(self.n_fft//2) def forward(self,x,output_format=None): """ Convert a batch of waveforms to CQT spectrograms. Parameters ---------- x : torch tensor Input signal should be in either of the following shapes.\n 1. ``(len_audio)``\n 2. ``(num_audio, len_audio)``\n 3. ``(num_audio, 1, len_audio)`` It will be automatically broadcast to the right shape """ output_format = output_format or self.output_format x = broadcast_dim(x) if self.earlydownsample==True: x = downsampling_by_n(x, self.early_downsample_filter, self.downsample_factor) hop = self.hop_length CQT = get_cqt_complex(x, self.cqt_kernels_real, self.cqt_kernels_imag, hop, self.padding) # Getting the top octave CQT x_down = x # Preparing a new variable for downsampling for i in range(self.n_octaves-1): hop = hop//2 x_down = downsampling_by_2(x_down, self.lowpass_filter) CQT1 = get_cqt_complex(x_down, self.cqt_kernels_real, self.cqt_kernels_imag, hop, self.padding) CQT = torch.cat((CQT1, CQT),1) CQT = CQT[:,-self.n_bins:,:] # Removing unwanted bottom bins # print("downsample_factor = ",self.downsample_factor) # print(CQT.shape) # print(self.lenghts.view(-1,1).shape) # Normalizing the output with the downsampling factor, 2**(self.n_octaves-1) is make it # same mag as 1992 CQT = CQT*self.downsample_factor # Normalize again to get same result as librosa CQT = CQT*torch.sqrt(self.lenghts.view(-1,1,1)) if output_format=='Magnitude': if self.trainable==False: # Getting CQT Amplitude return torch.sqrt(CQT.pow(2).sum(-1)) else: return torch.sqrt(CQT.pow(2).sum(-1)+1e-8) elif output_format=='Complex': return CQT elif output_format=='Phase': phase_real = torch.cos(torch.atan2(CQT[:,:,:,1],CQT[:,:,:,0])) phase_imag = torch.sin(torch.atan2(CQT[:,:,:,1],CQT[:,:,:,0])) return torch.stack((phase_real,phase_imag), -1) class CQT(CQT1992v2): """An abbreviation for :func:`~nnAudio.Spectrogram.CQT1992v2`. Please refer to the :func:`~nnAudio.Spectrogram.CQT1992v2` documentation""" pass # The section below is for developing purpose # Please don't use the following classes # class DFT(torch.nn.Module): """ Experimental feature before `torch.fft` was made avaliable. The inverse function only works for 1 single frame. i.e. input shape = (batch, n_fft, 1) """ def __init__(self, n_fft=2048, freq_bins=None, hop_length=512, window='hann', freq_scale='no', center=True, pad_mode='reflect', fmin=50, fmax=6000, sr=22050): super().__init__() self.stride = hop_length self.center = center self.pad_mode = pad_mode self.n_fft = n_fft # Create filter windows for stft wsin, wcos, self.bins2freq = create_fourier_kernels(n_fft=n_fft, freq_bins=n_fft, window=window, freq_scale=freq_scale, fmin=fmin, fmax=fmax, sr=sr) self.wsin = torch.tensor(wsin, dtype=torch.float) self.wcos = torch.tensor(wcos, dtype=torch.float) def forward(self,x): """ Convert a batch of waveforms to spectrums. Parameters ---------- x : torch tensor Input signal should be in either of the following shapes.\n 1. ``(len_audio)``\n 2. ``(num_audio, len_audio)``\n 3. ``(num_audio, 1, len_audio)`` It will be automatically broadcast to the right shape """ x = broadcast_dim(x) if self.center: if self.pad_mode == 'constant': padding = nn.ConstantPad1d(self.n_fft//2, 0) elif self.pad_mode == 'reflect': padding = nn.ReflectionPad1d(self.n_fft//2) x = padding(x) imag = conv1d(x, self.wsin, stride=self.stride) real = conv1d(x, self.wcos, stride=self.stride) return (real, -imag) def inverse(self,x_real,x_imag): """ Convert a batch of waveforms to CQT spectrograms. Parameters ---------- x_real : torch tensor Real part of the signal. x_imag : torch tensor Imaginary part of the signal. """ x_real = broadcast_dim(x_real) x_imag = broadcast_dim(x_imag) x_real.transpose_(1,2) # Prepare the right shape to do inverse x_imag.transpose_(1,2) # Prepare the right shape to do inverse # if self.center: # if self.pad_mode == 'constant': # padding = nn.ConstantPad1d(self.n_fft//2, 0) # elif self.pad_mode == 'reflect': # padding = nn.ReflectionPad1d(self.n_fft//2) # x_real = padding(x_real) # x_imag = padding(x_imag) # Watch out for the positive and negative signs # ifft = e^(+2\pi*j)*X # ifft(X_real) = (a1, a2) # ifft(X_imag)*1j = (b1, b2)*1j # = (-b2, b1) a1 = conv1d(x_real, self.wcos, stride=self.stride) a2 = conv1d(x_real, self.wsin, stride=self.stride) b1 = conv1d(x_imag, self.wcos, stride=self.stride) b2 = conv1d(x_imag, self.wsin, stride=self.stride) imag = a2+b1 real = a1-b2 return (real/self.n_fft, imag/self.n_fft) class iSTFT(torch.nn.Module): """This class is to convert spectrograms back to waveforms. It only works for the complex value spectrograms. If you have the magnitude spectrograms, please use :func:`~nnAudio.Spectrogram.Griffin_Lim`. The parameters (e.g. n_fft, window) need to be the same as the STFT in order to obtain the correct inverse. If trainability is not required, it is recommended to use the ``inverse`` method under the ``STFT`` class to save GPU/RAM memory. When ``trainable=True`` and ``freq_scale!='no'``, there is no guarantee that the inverse is perfect, please use with extra care. Parameters ---------- n_fft : int The window size. Default value is 2048. freq_bins : int Number of frequency bins. Default is ``None``, which means ``n_fft//2+1`` bins Please make sure the value is the same as the forward STFT. hop_length : int The hop (or stride) size. Default value is ``None`` which is equivalent to ``n_fft//4``. Please make sure the value is the same as the forward STFT. window : str The windowing function for iSTFT. It uses ``scipy.signal.get_window``, please refer to scipy documentation for possible windowing functions. The default value is 'hann'. Please make sure the value is the same as the forward STFT. freq_scale : 'linear', 'log', or 'no' Determine the spacing between each frequency bin. When `linear` or `log` is used, the bin spacing can be controlled by ``fmin`` and ``fmax``. If 'no' is used, the bin will start at 0Hz and end at Nyquist frequency with linear spacing. Please make sure the value is the same as the forward STFT. center : bool Putting the iSTFT keneral at the center of the time-step or not. If ``False``, the time index is the beginning of the iSTFT kernel, if ``True``, the time index is the center of the iSTFT kernel. Default value if ``True``. Please make sure the value is the same as the forward STFT. fmin : int The starting frequency for the lowest frequency bin. If freq_scale is ``no``, this argument does nothing. Please make sure the value is the same as the forward STFT. fmax : int The ending frequency for the highest frequency bin. If freq_scale is ``no``, this argument does nothing. Please make sure the value is the same as the forward STFT. sr : int The sampling rate for the input audio. It is used to calucate the correct ``fmin`` and ``fmax``. Setting the correct sampling rate is very important for calculating the correct frequency. trainable_kernels : bool Determine if the STFT kenrels are trainable or not. If ``True``, the gradients for STFT kernels will also be caluclated and the STFT kernels will be updated during model training. Default value is ``False``. trainable_window : bool Determine if the window function is trainable or not. Default value is ``False``. verbose : bool If ``True``, it shows layer information. If ``False``, it suppresses all prints. device : str Choose which device to initialize this layer. Default value is 'cpu'. Returns ------- spectrogram : torch.tensor It returns a batch of waveforms. Examples -------- >>> spec_layer = Spectrogram.iSTFT() >>> specs = spec_layer(x) """ def __init__(self, n_fft=2048, win_length=None, freq_bins=None, hop_length=None, window='hann', freq_scale='no', center=True, fmin=50, fmax=6000, sr=22050, trainable_kernels=False, trainable_window=False, verbose=True, refresh_win=True): super().__init__() # Trying to make the default setting same as librosa if win_length==None: win_length = n_fft if hop_length==None: hop_length = int(win_length // 4) self.n_fft = n_fft self.win_length = win_length self.stride = hop_length self.center = center self.pad_amount = self.n_fft // 2 self.refresh_win = refresh_win start = time() # Create the window function and prepare the shape for batch-wise-time-wise multiplication # Create filter windows for inverse kernel_sin, kernel_cos, _, _, window_mask = create_fourier_kernels(n_fft, win_length=win_length, freq_bins=n_fft, window=window, freq_scale=freq_scale, fmin=fmin, fmax=fmax, sr=sr, verbose=False) window_mask = get_window(window,int(win_length), fftbins=True) # For inverse, the Fourier kernels do not need to be windowed window_mask = torch.tensor(window_mask).unsqueeze(0).unsqueeze(-1) # kernel_sin and kernel_cos have the shape (freq_bins, 1, n_fft, 1) to support 2D Conv kernel_sin = torch.tensor(kernel_sin, dtype=torch.float).unsqueeze(-1) kernel_cos = torch.tensor(kernel_cos, dtype=torch.float).unsqueeze(-1) # Decide if the Fourier kernels are trainable if trainable_kernels: # Making all these variables trainable kernel_sin = torch.nn.Parameter(kernel_sin, requires_grad=trainable_kernels) kernel_cos = torch.nn.Parameter(kernel_cos, requires_grad=trainable_kernels) self.register_parameter('kernel_sin', kernel_sin) self.register_parameter('kernel_cos', kernel_cos) else: self.register_buffer('kernel_sin', kernel_sin) self.register_buffer('kernel_cos', kernel_cos) # Decide if the window function is trainable if trainable_window: window_mask = torch.nn.Parameter(window_mask, requires_grad=trainable_window) self.register_parameter('window_mask', window_mask) else: self.register_buffer('window_mask', window_mask) if verbose==True: print("iSTFT kernels created, time used = {:.4f} seconds".format(time()-start)) else: pass def forward(self, X, onesided=False, length=None, refresh_win=None): """ If your spectrograms only have ``n_fft//2+1`` frequency bins, please use ``onesided=True``, else use ``onesided=False`` To make sure the inverse STFT has the same output length of the original waveform, please set `length` as your intended waveform length. By default, ``length=None``, which will remove ``n_fft//2`` samples from the start and the end of the output. If your input spectrograms X are of the same length, please use ``refresh_win=None`` to increase computational speed. """ if refresh_win==None: refresh_win=self.refresh_win assert X.dim()==4 , "Inverse iSTFT only works for complex number," \ "make sure our tensor is in the shape of (batch, freq_bins, timesteps, 2)" # If the input spectrogram contains only half of the n_fft # Use extend_fbins function to get back another half if onesided: X = extend_fbins(X) # extend freq X_real, X_imag = X[:, :, :, 0], X[:, :, :, 1] # broadcast dimensions to support 2D convolution X_real_bc = X_real.unsqueeze(1) X_imag_bc = X_imag.unsqueeze(1) a1 = conv2d(X_real_bc, self.kernel_cos, stride=(1,1)) b2 = conv2d(X_imag_bc, self.kernel_sin, stride=(1,1)) # compute real and imag part. signal lies in the real part real = a1 - b2 real = real.squeeze(-2)*self.window_mask # Normalize the amplitude with n_fft real /= (self.n_fft) # Overlap and Add algorithm to connect all the frames real = overlap_add(real, self.stride) # Prepare the window sumsqure for division # Only need to create this window once to save time # Unless the input spectrograms have different time steps if hasattr(self, 'w_sum')==False or refresh_win==True: self.w_sum = torch_window_sumsquare(self.window_mask.flatten(), X.shape[2], self.stride, self.n_fft).flatten() self.nonzero_indices = (self.w_sum>1e-10) else: pass real[:, self.nonzero_indices] = real[:,self.nonzero_indices].div(self.w_sum[self.nonzero_indices]) # Remove padding if length is None: if self.center: real = real[:, self.pad_amount:-self.pad_amount] else: if self.center: real = real[:, self.pad_amount:self.pad_amount + length] else: real = real[:, :length] return real class Griffin_Lim(torch.nn.Module): """ Converting Magnitude spectrograms back to waveforms based on the "fast Griffin-Lim"[1]. This Griffin Lim is a direct clone from librosa.griffinlim. [1] Perraudin, N., Balazs, P., & Søndergaard, P. L. “A fast Griffin-Lim algorithm,” IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (pp. 1-4), Oct. 2013. Parameters ---------- n_fft : int The window size. Default value is 2048. n_iter=32 : int The number of iterations for Griffin-Lim. The default value is ``32`` hop_length : int The hop (or stride) size. Default value is ``None`` which is equivalent to ``n_fft//4``. Please make sure the value is the same as the forward STFT. window : str The windowing function for iSTFT. It uses ``scipy.signal.get_window``, please refer to scipy documentation for possible windowing functions. The default value is 'hann'. Please make sure the value is the same as the forward STFT. center : bool Putting the iSTFT keneral at the center of the time-step or not. If ``False``, the time index is the beginning of the iSTFT kernel, if ``True``, the time index is the center of the iSTFT kernel. Default value if ``True``. Please make sure the value is the same as the forward STFT. momentum : float The momentum for the update rule. The default value is ``0.99``. device : str Choose which device to initialize this layer. Default value is 'cpu' """ def __init__(self, n_fft, n_iter=32, hop_length=None, win_length=None, window='hann', center=True, pad_mode='reflect', momentum=0.99, device='cpu'): super().__init__() self.n_fft = n_fft self.win_length = win_length self.n_iter = n_iter self.center = center self.pad_mode = pad_mode self.momentum = momentum self.device = device if win_length==None: self.win_length=n_fft else: self.win_length=win_length if hop_length==None: self.hop_length = n_fft//4 else: self.hop_length = hop_length # Creating window function for stft and istft later self.w = torch.tensor(get_window(window, int(self.win_length), fftbins=True), device=device).float() def forward(self, S): """ Convert a batch of magnitude spectrograms to waveforms. Parameters ---------- S : torch tensor Spectrogram of the shape ``(batch, n_fft//2+1, timesteps)`` """ assert S.dim()==3 , "Please make sure your input is in the shape of (batch, freq_bins, timesteps)" # Initializing Random Phase rand_phase = torch.randn(*S.shape, device=self.device) angles = torch.empty((*S.shape,2), device=self.device) angles[:, :,:,0] = torch.cos(2 * np.pi * rand_phase) angles[:,:,:,1] = torch.sin(2 * np.pi * rand_phase) # Initializing the rebuilt magnitude spectrogram rebuilt = torch.zeros(*angles.shape, device=self.device) for _ in range(self.n_iter): tprev = rebuilt # Saving previous rebuilt magnitude spec # spec2wav conversion # print(f'win_length={self.win_length}\tw={self.w.shape}') inverse = torch.istft(S.unsqueeze(-1) * angles, self.n_fft, self.hop_length, win_length=self.win_length, window=self.w, center=self.center) # wav2spec conversion rebuilt = torch.stft(inverse, self.n_fft, self.hop_length, win_length=self.win_length, window=self.w, pad_mode=self.pad_mode) # Phase update rule angles[:,:,:] = rebuilt[:,:,:] - (self.momentum / (1 + self.momentum)) * tprev[:,:,:] # Phase normalization angles = angles.div(torch.sqrt(angles.pow(2).sum(-1)).unsqueeze(-1) + 1e-16) # normalizing the phase # Using the final phase to reconstruct the waveforms inverse = torch.istft(S.unsqueeze(-1) * angles, self.n_fft, self.hop_length, win_length=self.win_length, window=self.w, center=self.center) return inverse

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1

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null

0

3

07f0cc1a2096d19875fd8be0522fd82d52ff8b5c

128

py

Python

setup.py

rizar/CLOSURE

57f80d4e89fa281830bb9c8b6a7a2498747e727a

[ "MIT" ]

14

2019-12-08T04:38:57.000Z

2021-07-13T15:46:57.000Z

setup.py

rizar/CLOSURE

57f80d4e89fa281830bb9c8b6a7a2498747e727a

[ "MIT" ]

null

setup.py

rizar/CLOSURE

57f80d4e89fa281830bb9c8b6a7a2498747e727a

[ "MIT" ]

2

2020-09-01T10:21:27.000Z

2021-01-15T02:38:25.000Z

from setuptools import setup setup( name="nmn-iwp", version="0.1", keywords="", packages=["vr", "vr.models"] )

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0

1

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null

0

1

0

3

07fdb99131cb0d8251646bea304d79ad58fc7ab6

157

py

Python

Mundo 1/Ex33.py

legna7/Python

52e0b642d1b7acc592ec82dd360c5697fb0765db

[ "MIT" ]

null

Mundo 1/Ex33.py

legna7/Python

52e0b642d1b7acc592ec82dd360c5697fb0765db

[ "MIT" ]

null

Mundo 1/Ex33.py

legna7/Python

52e0b642d1b7acc592ec82dd360c5697fb0765db

[ "MIT" ]

null

salario = float(input('digite o seu salario: ')) aumento = (salario + (salario * 15)/100 if salario <= 1250 else salario + (salario * 10)/100) print(aumento)

52.333333

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0.152866

157

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null

1

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1

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null

0

3

58023a0843c7993ed1535e882c1755e33a7a8544

116

py

Python

solved_bronze/num11720.py

ilmntr/white_study

51d69d122b07e9a0922dddb134bff4ec79077eb9

[ "MIT" ]

null

solved_bronze/num11720.py

ilmntr/white_study

51d69d122b07e9a0922dddb134bff4ec79077eb9

[ "MIT" ]

null

solved_bronze/num11720.py

ilmntr/white_study

51d69d122b07e9a0922dddb134bff4ec79077eb9

[ "MIT" ]

null

cnt = int(input()) num = list(map(int, input())) sum = 0 for i in range(len(num)): sum = sum + num[i] print(sum)

19.333333

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116

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1

0

1

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null

0

3

6af266c300822127b8933d07e4d514dfddafdca3

575

py

Python

sider/warnings.py

PCManticore/sider

cd11b38b2a1bf1ea3600eb287abfe3c2b40c67c1

[ "MIT" ]

19

2015-01-17T18:24:36.000Z

2022-02-05T06:33:41.000Z

sider/warnings.py

PCManticore/sider

cd11b38b2a1bf1ea3600eb287abfe3c2b40c67c1

[ "MIT" ]

5

2016-01-13T14:19:44.000Z

2016-06-01T18:50:36.000Z

sider/warnings.py

PCManticore/sider

cd11b38b2a1bf1ea3600eb287abfe3c2b40c67c1

[ "MIT" ]

6

2015-08-16T10:32:09.000Z

2019-11-29T09:57:06.000Z

""":mod:`sider.warnings` --- Warning categories ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ This module defines several custom warning category classes. """ class SiderWarning(Warning): """All warning classes used by Sider extend this base class.""" class PerformanceWarning(SiderWarning, RuntimeWarning): """The category for warnings about performance worries. Operations that warn this category would work but be inefficient. """ class TransactionWarning(SiderWarning, RuntimeWarning): """The category for warnings about transactions."""

25

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null

0

1

0

null

0

1

0

1

0

3

ed0157759bef39b622e00be4f990c696bc0f3dd8

110

py

Python

src/FYP/fifaRecords/urls.py

MustafaAbbas110/FinalProject

30d371f06a8a1875285cfd4a8940ca3610ec1274

[ "BSD-3-Clause" ]

null

src/FYP/fifaRecords/urls.py

MustafaAbbas110/FinalProject

30d371f06a8a1875285cfd4a8940ca3610ec1274

[ "BSD-3-Clause" ]

null

src/FYP/fifaRecords/urls.py

MustafaAbbas110/FinalProject

30d371f06a8a1875285cfd4a8940ca3610ec1274

[ "BSD-3-Clause" ]

null

from django.urls import path from . import views urlpatterns = [ path('', views.Records, name ="fRec"), ]

18.333333

42

0.672727

14

110

5.285714

0.714286

0

0.181818

110

6

43

18.333333

0.822222

0

0.036036

0

1

0

false

0

0.4

0

0.4

0

1

0

null

0

1

0

null

0

1

0

3

ed0ba1aa04531d363f3421c385e69a867b69168b

2,949

py

Python

saleor/dashboard/urls.py

Chaoslecion123/Diver

8c5c493701422eada49cbf95b0b0add08f1ea561

[ "BSD-3-Clause" ]

null

saleor/dashboard/urls.py

Chaoslecion123/Diver

8c5c493701422eada49cbf95b0b0add08f1ea561

[ "BSD-3-Clause" ]

null

saleor/dashboard/urls.py

Chaoslecion123/Diver

8c5c493701422eada49cbf95b0b0add08f1ea561

[ "BSD-3-Clause" ]

null

from django.conf.urls import include, url from django.views.generic.base import TemplateView from . import views as core_views from .category.urls import urlpatterns as category_urls from .collection.urls import urlpatterns as collection_urls from .customer.urls import urlpatterns as customer_urls from .discount.urls import urlpatterns as discount_urls from .menu.urls import urlpatterns as menu_urls from .order.urls import urlpatterns as order_urls from .page.urls import urlpatterns as page_urls from .product.urls import urlpatterns as product_urls from .search.urls import urlpatterns as search_urls from .shipping.urls import urlpatterns as shipping_urls from .sites.urls import urlpatterns as site_urls from .staff.urls import urlpatterns as staff_urls from .taxes.urls import urlpatterns as taxes_urls # BEGIN :: SoftButterfly Extensions -------------------------------------------- from .brand.urls import urlpatterns as brand_urls from .widget.slider.urls import urlpatterns as slider_urls from .widget.banner.urls import urlpatterns as banner_urls from .widget.scene.urls import urlpatterns as scene_urls from .widget.benefit.urls import urlpatterns as benefit_urls from .store.physical_store.urls import urlpatterns as store_urls from .store.social_network.urls import urlpatterns as social_network_urls from .store.special_page.urls import urlpatterns as special_page_urls from .store.bank_account.urls import urlpatterns as bank_account_urls from .store.footer_item.urls import urlpatterns as footer_item_urls # END :: SoftButterfly Extensions ---------------------------------------------- urlpatterns = [ url(r'^$', core_views.index, name='index'), url(r'^categories/', include(category_urls)), url(r'^collections/', include(collection_urls)), url(r'^orders/', include(order_urls)), url(r'^page/', include(page_urls)), url(r'^products/', include(product_urls)), url(r'^customers/', include(customer_urls)), url(r'^staff/', include(staff_urls)), url(r'^discounts/', include(discount_urls)), url(r'^settings/', include( site_urls + social_network_urls + special_page_urls + bank_account_urls + footer_item_urls)), # Extensions url(r'^menu/', include(menu_urls)), url(r'^shipping/', include(shipping_urls)), url(r'^style-guide/', core_views.styleguide, name='styleguide'), url(r'^search/', include(search_urls)), url(r'^taxes/', include(taxes_urls)), url(r'^next/', TemplateView.as_view(template_name='dashboard/next.html')), # BEGIN :: SoftButterfly Extensions ---------------------------------------- url(r'^brand/', include(brand_urls)), url(r'^slider/', include(slider_urls)), url(r'^banner/', include(banner_urls)), url(r'^scene/', include(scene_urls)), url(r'^store/', include(store_urls)), url(r'^benefit/', include(benefit_urls)), # END :: SoftButterfly Extensions ------------------------------------------ ]

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0.026419

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false

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0.5

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null

0

1

0

null

0

1

0

3

ed0d8ae3aab7a47853ec71583d13c54d255d0f51

2,430

py

Python

gym_pcgrl/envs/reps/wide_3D_rep.py

JiangZehua/gym-pcgrl

80ddbde173803e81060578c2c4167d8d1f5cacba

[ "MIT" ]

null

gym_pcgrl/envs/reps/wide_3D_rep.py

JiangZehua/gym-pcgrl

80ddbde173803e81060578c2c4167d8d1f5cacba

[ "MIT" ]

null

gym_pcgrl/envs/reps/wide_3D_rep.py

JiangZehua/gym-pcgrl

80ddbde173803e81060578c2c4167d8d1f5cacba

[ "MIT" ]

null

from gym_pcgrl.envs.reps.representation3D import Representation3D from PIL import Image from gym import spaces import numpy as np from gym_pcgrl.envs.probs.minecraft.mc_render import reps_3D_render """ The wide representation where the agent can pick the tile position and tile value at each update. """ class Wide3DRepresentation(Representation3D): """ Initialize all the parameters used by that representation """ def __init__(self): super().__init__() """ Gets the action space used by the wide representation Parameters: length: the current map length width: the current map width height: the current map height num_tiles: the total number of the tile values Returns: MultiDiscrete: the action space used by that wide representation which consists of the x position, y position, z position and the tile value """ def get_action_space(self, length, width, height, num_tiles): return spaces.MultiDiscrete([length, width, height, num_tiles]) """ Get the observation space used by the wide representation Parameters: length: the current map length width: the current map width height: the current map height num_tiles: the total number of the tile values Returns: Box: the observation space used by that representation. A 3D array of tile numbers """ def get_observation_space(self, length, width, height, num_tiles): return spaces.Dict({ "map": spaces.Box(low=0, high=num_tiles-1, dtype=np.uint8, shape=(height, width, length)) }) """ Get the current representation observation object at the current moment Returns: observation: the current observation at the current moment. A 3D array of tile numbers """ def get_observation(self): return { "map": self._map.copy() } """ Update the wide representation with the input action Parameters: action: an action that is used to advance the environment (same as action space) Returns: boolean: True if the action change the map, False if nothing changed """ def update(self, action): change = [0,1][self._map[action[2]][action[1]][action[0]] != action[3]] self._map[action[2]][action[1]][action[0]] = action[3] return change, action[0], action[1], action[2]

32.837838

101

0.671605

324

2,430

4.953704

0.308642

0.062305

0.048598

0.037383

0.404361

0.346417

0.241745

0

0.01261

0.249383

2,430

73

102

33.287671

0.867325

0.023457

0

0.006006

0

1

0.227273

false

0

0.227273

0.136364

0.681818

0

null

0

null

0

1

0

1

0

3

ed15a4196531124a25ec9256f08c4c288fc464c6

1,784

py

Python

test_molecule.py

zee93/molecule_parser

42f5a3722d733ef9f7243bfa2b0b9a08c7bc5d23

[ "MIT" ]

null

test_molecule.py

zee93/molecule_parser

42f5a3722d733ef9f7243bfa2b0b9a08c7bc5d23

[ "MIT" ]

null

test_molecule.py

zee93/molecule_parser

42f5a3722d733ef9f7243bfa2b0b9a08c7bc5d23

[ "MIT" ]

null

import unittest from molecule import onize_formula, update_equation_with_multiplier, flaten_formula, parse_molecule class MoleculeParserTestCases(unittest.TestCase): def test_onizing_formulas(self): self.assertEqual(onize_formula('H'), 'H1') self.assertEqual(onize_formula('H2O'), 'H2O1') self.assertEqual(onize_formula('Mg(OH)2'), 'Mg1(O1H1)2') self.assertEqual(onize_formula('K4[ON(SO3)2]2'), 'K4[O1N1(S1O3)2]2') def test_updating_formula_with_multipler(self): self.assertEqual(update_equation_with_multiplier('H1', '2'), 'H2') self.assertEqual(update_equation_with_multiplier('K4[O1N1(SO3)2]2', '2'), 'K8[O2N2(SO6)4]4') def test_flatting_formula(self): self.assertEqual(flaten_formula('H2O'), 'H2O') self.assertEqual(flaten_formula('[H1]2O'), 'H2O') self.assertEqual(flaten_formula('M1g1(O1H1)2'), 'M1g1O2H2') self.assertEqual(flaten_formula('K4[O1N1(S1O3)2]2'), 'K4O2N2S4O12') def test_full_parsing(self): parsed_mole = parse_molecule('H2O') self.assertEqual(len(parsed_mole.keys()), 2) self.assertEqual(parsed_mole['H'], 2) self.assertEqual(parsed_mole['O'], 1) parsed_mole = parse_molecule('Mg(OH)2') self.assertEqual(len(parsed_mole.keys()), 3) self.assertEqual(parsed_mole['H'], 2) self.assertEqual(parsed_mole['O'], 2) self.assertEqual(parsed_mole['Mg'], 1) parsed_mole = parse_molecule('K4[ON(SO3)2]2') self.assertEqual(len(parsed_mole.keys()), 4) self.assertEqual(parsed_mole['K'], 4) self.assertEqual(parsed_mole['O'], 14) self.assertEqual(parsed_mole['N'], 2) self.assertEqual(parsed_mole['S'], 4) if __name__ == '__main__': unittest.main()

39.644444

100

0.669283

235

1,784

4.842553

0.268085

0.289982

0.166081

0.197715

0.480668

0.254833

0.151142

0.093146

0

0.055593

0.173206

1,784

44

101

40.545455

0.715932

0

0.058824

0

0.108744

0

0.647059

1

0.117647

false

0

0.058824

0

0.205882

0

null

1

0

1

0

null

0

1

0

3

ed1dd7ccddd4e92e0775574a201cc45ae9f018c0

57

py

Python

kendall_w/__init__.py

ugolbck/KendallW

ace7c68d6c3c2dfcf6b3ee5fb3817240ed050c9b

[ "BSD-3-Clause" ]

4

2020-03-28T13:42:58.000Z

2021-04-05T12:45:25.000Z

kendall_w/__init__.py

ugolbck/KendallW

ace7c68d6c3c2dfcf6b3ee5fb3817240ed050c9b

[ "BSD-3-Clause" ]

null

kendall_w/__init__.py

ugolbck/KendallW

ace7c68d6c3c2dfcf6b3ee5fb3817240ed050c9b

[ "BSD-3-Clause" ]

2

2020-08-05T03:36:43.000Z

2020-09-09T00:33:06.000Z

from .kendall_w import compute_w __version__ = (1, 0, 0)

19

32

0.736842

10

57

3.6

0.8

0

0.0625

0.157895

57

3

33

19

0.6875

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

3

ed50775b4eac2d767b8b5f1e618533d64da3321f

1,882

py

Python

CraftProtocol/NBT/NBTTagList.py

Toranktto/CraftProtocol

a6f4a67756c3868820ab76df5e148d76b020d990

[ "MIT" ]

21

2018-05-12T20:18:02.000Z

2022-02-18T17:33:50.000Z

CraftProtocol/NBT/NBTTagList.py

Toranktto/CraftProtocol

a6f4a67756c3868820ab76df5e148d76b020d990

[ "MIT" ]

1

2018-06-23T09:13:39.000Z

2018-06-27T01:22:27.000Z

CraftProtocol/NBT/NBTTagList.py

Toranktto/CraftProtocol

a6f4a67756c3868820ab76df5e148d76b020d990

[ "MIT" ]

2

2018-05-19T21:36:00.000Z

2020-10-02T03:23:13.000Z

#!/usr/bin/env python from CraftProtocol.NBT.NBTBase import NBTBase from CraftProtocol.NBT.NBTProvider import NBTProvider from CraftProtocol.StreamIO import StreamIO class NBTTagList(NBTBase): TYPE_ID = 0x09 def __init__(self, tag_type, values=None): NBTBase.__init__(self) if values is None: values = [] self._tag_type = tag_type self._values = list(values) def get(self): return self._values def get_tag_type(self): return self._tag_type def __getitem__(self, i): return self._values.__getitem__(i) def __setitem__(self, i, o): assert isinstance(o, self._tag_type), "value must be " + self._tag_type.__name__ self._values.__setitem__(i, o) def __delitem__(self, i): self._values.__delitem__(i) def __iter__(self): return self._values.__iter__() def __contains__(self, o): return self._values.__contains__(o) def __len__(self): return self._values.__len__() def append(self, x): assert isinstance(x, self._tag_type), "arg must be " + self._tag_type.__name__ self._values.append(x) def remove(self, x): assert isinstance(x, self._tag_type), "arg must be " + self._tag_type.__name__ self._values.remove(x) @staticmethod def write(stream, tag): StreamIO.write_ubyte(stream, tag.get_tag_type().TYPE_ID) StreamIO.write_int(stream, len(tag)) for i in tag: tag.get_tag_type().write(stream, i) @staticmethod def read(stream): tag_type_id = StreamIO.read_ubyte(stream) tag_type = NBTProvider.get_tag_class(tag_type_id) values = [] len = StreamIO.read_int(stream) for i in xrange(len): values.append(tag_type.read(stream)) return NBTTagList(tag_type, values)

25.093333

88

0.643996

245

1,882

4.469388

0.220408

0.115068

0.090411

0.054795

0.150685

0.122374

0

0.002135

0.253454

1,882

74

89

25.432432

0.777224

0.010627

0

0.122449

0

0.020419

0

0.002149

0

0.061224

1

0.265306

false

0

0.061224

0.122449

0.510204

0

null

0

null

0

1

0

1

0

3

ed5085f9be9c98ff85fd3851495ed53a851d06cd

25,960

py

Python

examples/0b02b172-ad67-449b-b4a2-ff645b28c508.py

lapaniku/GAS

e49ce302689af683da744cd172e0359c0ba0af86

[ "MIT" ]

37

2021-12-12T17:36:24.000Z

2022-03-12T15:46:56.000Z

examples/0b02b172-ad67-449b-b4a2-ff645b28c508.py

lapaniku/GAS

e49ce302689af683da744cd172e0359c0ba0af86

[ "MIT" ]

1

2021-12-19T12:39:10.000Z

examples/0b02b172-ad67-449b-b4a2-ff645b28c508.py

lapaniku/GAS

e49ce302689af683da744cd172e0359c0ba0af86

[ "MIT" ]

3

2021-12-17T17:29:35.000Z

2022-03-12T15:26:49.000Z

# This program was generated by "Generative Art Synthesizer" # Generation date: 2021-11-28 09:21:40 UTC # GAS change date: 2021-11-28 09:20:21 UTC # GAS md5 hash: ad55481e87ca5a7e9a8e92cd336d1cad # Python version: 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)] # For more information visit: https://github.com/volotat/GAS #import python libraries import os #OS version: default import numpy as np #Numpy version: 1.19.5 from PIL import Image #PIL version: 8.1.2 #set initial params SIZE = 768 GRID_CHANNELS = 16 def test_values(arr): if np.isnan(arr).any(): raise Exception('Array has None elements!') if np.amin(arr) < -1 or np.amax(arr) > 1: raise Exception('Values went to far! [ %.2f : %.2f ]'%(np.amin(arr), np.amax(arr)) ) return arr #define grid transformation methods def transit(x, t_indx, s_indx, alphas): res = x.copy() res[:,:,t_indx] = np.sum(x[:,:,s_indx] * alphas, axis = -1) return test_values(res.clip(-1,1)) def sin(x, t_indx, s_indx, scale = 1, shift = 0): res = x.copy() res[:,:,t_indx] = np.sin(x[:,:,s_indx] * 0.5 * np.pi * scale + shift) return test_values(res) def magnitude(x, t_indx, s_indx, ord = 2): res = x.copy() res[:,:,t_indx] = np.linalg.norm(x[:,:,s_indx], axis = -1, ord = ord) / np.sqrt(len(s_indx)) return test_values(res) def shift(x, t_indx, s_indx, shift): res = x.copy() if shift > 0: res[:,:,t_indx] = (-np.abs(((x[:,:,s_indx] + 1) / 2) ** (1 + shift) - 1) ** (1 / (1 + shift)) + 1) * 2 - 1 if shift < 0: res[:,:,t_indx] = np.abs((1 - (x[:,:,s_indx] + 1) / 2) ** (1 - shift) - 1) ** (1 / (1 - shift)) * 2 - 1 return test_values(res) def inverse(x, t_indx, s_indx): res = x.copy() res[:,:,t_indx] = -x[:,:,s_indx] return test_values(res) def smooth_max(x, t_indx, s1_indx, s2_indx, p = 10): res = x.copy() res[:,:,t_indx] = np.log((np.exp(x[:,:,s1_indx] * p) + np.exp(x[:,:,s2_indx] * p)) ** (1/p)) / 1.07 return test_values(res) def smooth_min(x, t_indx, s1_indx, s2_indx, p = 10): res = x.copy() res[:,:,t_indx] = -np.log((np.exp(-x[:,:,s1_indx] * p) + np.exp(-x[:,:,s2_indx] * p)) ** (1/p)) / 1.07 return test_values(res) def prod(x, t_indx, s_indx): res = x.copy() res[:,:,t_indx] = np.prod(x[:,:,s_indx], -1) return test_values(res) def power(x, t_indx, s_indx, p = 1): res = x.copy() res[:,:,t_indx] = np.sign(x[:,:,s_indx]) * np.abs(x[:,:,s_indx]) ** p return test_values(res) #set initial grid grid = np.zeros((SIZE, SIZE, GRID_CHANNELS)) x = ((np.arange(SIZE)/(SIZE-1) - 0.5) * 2).reshape((1, SIZE)).repeat(SIZE, 0) y = ((np.arange(SIZE)/(SIZE-1) - 0.5) * 2).reshape((SIZE, 1)).repeat(SIZE, 1) grid[:,:,0] = (x * 0.9386329219527516 + y * -0.45147169454413794) / 2 grid[:,:,1] = (x * 0.8090860808441245 + y * 0.2914526739617249) / 2 grid[:,:,2] = (x * 0.9804797761207309 + y * -0.5063344373124843) / 2 grid[:,:,3] = (x * -0.8484277738516293 + y * -0.5155435342135386) / 2 grid[:,:,4] = (x * -0.6644350461377522 + y * 0.1739322518414499) / 2 grid[:,:,5] = (x * -0.5986715486203882 + y * 0.9515468928881716) / 2 grid[:,:,6] = (x * 0.2265055481768512 + y * 0.4365452266748293) / 2 grid[:,:,7] = (x * 0.5049774961793401 + y * 0.05113255120007798) / 2 grid[:,:,8] = (x * -0.3391983246964396 + y * -0.5135707069423852) / 2 grid[:,:,9] = (x * -0.4075423366723827 + y * 0.5388833863473126) / 2 grid[:,:,10] = (x * -0.4262457935185371 + y * -0.6817079327248272) / 2 grid[:,:,11] = (x * 0.8435706697714382 + y * 0.7746597063144072) / 2 grid[:,:,12] = (x * -0.5303146721156469 + y * -0.41048419195488317) / 2 grid[:,:,13] = (x * -0.5864100240508576 + y * -0.9425245660964123) / 2 grid[:,:,14] = (x * -0.7665883618456049 + y * -0.3867357840809138) / 2 grid[:,:,15] = (x * 0.49037959172682255 + y * -0.7671554143072785) / 2 #apply transformations to the grid grid = transit(grid, 4, [7, 6, 12, 8, 9, 0, 1], [0.05863158300898051, 0.3467981515651057, 0.262107802795733, 0.038001653167336905, 0.2112967596903696, 0.002128256606899112, 0.08103579316557531]) grid = shift(grid, 3, 3, 2.4622222565241207) grid = sin(grid, 10, 0, 0.5112825397666086, 37.95950546335726) grid = sin(grid, 12, 13, 3.6938747278005737, 76.37702042567852) grid = magnitude(grid, 15, [5, 3, 8, 0, 15], 2) grid = prod(grid, 2, [3, 11, 1]) grid = smooth_min(grid, 3, 2, 7) grid = smooth_max(grid, 8, 10, 6) grid = prod(grid, 3, [2, 6, 10, 7, 4]) grid = smooth_min(grid, 7, 12, 0) grid = transit(grid, 2, [1, 2], [0.9078557995211777, 0.09214420047882232]) grid = smooth_max(grid, 1, 0, 1) grid = sin(grid, 9, 4, 3.0281102269529683, 11.185401112275173) grid = sin(grid, 10, 4, 1.2844464834351186, -45.836492724169695) grid = sin(grid, 1, 2, -1.5301674594368837, -60.29431568717391) grid = transit(grid, 2, [13, 11, 5], [0.421270391024163, 0.5054038923567993, 0.07332571661903758]) grid = transit(grid, 11, [1, 15, 5, 0, 6, 12, 2, 7, 4], [0.03047869593495055, 0.024092687676923453, 0.02665655056773558, 0.17667886361751853, 0.15211061797378253, 0.016462544099609754, 0.0072484377164178625, 0.4477791048998878, 0.11849249751317383]) grid = transit(grid, 10, [5, 11, 15, 8, 2, 13, 12, 3, 6], [0.1020239434902293, 0.05405846145210329, 0.11525379082942891, 0.11556721863292163, 0.12372657123165616, 0.1356897031789931, 0.20047556686480725, 0.09921434949484752, 0.05399039482501285]) grid = transit(grid, 9, [5], [1.0]) grid = transit(grid, 15, [12, 0, 1, 11], [0.01847979792505241, 0.33442336387003857, 0.15192425697494277, 0.4951725812299663]) grid = sin(grid, 4, 8, 3.386521226555936, 60.95572898751007) grid = shift(grid, 14, 2, 2.55681173849493) grid = sin(grid, 10, 14, 0.8649185298731181, 3.1973516320924773) grid = sin(grid, 9, 7, -2.4657577404884132, 72.95418196004374) grid = transit(grid, 12, [7, 4, 10, 5], [0.5076634403621766, 0.003404332378773421, 0.04142944289977586, 0.4475027843592742]) grid = inverse(grid, 4, 5) grid = transit(grid, 1, [4, 14, 0, 13], [0.2785496566747933, 0.004915230889640017, 0.30146401859790545, 0.4150710938376613]) grid = sin(grid, 3, 11, -6.496603906160505, -73.75617586359363) grid = transit(grid, 6, [6, 14], [0.7201753385758813, 0.2798246614241187]) grid = prod(grid, 4, [10, 0, 2, 4, 8, 5, 6, 7]) grid = transit(grid, 8, [3], [1.0]) grid = inverse(grid, 8, 5) grid = smooth_max(grid, 10, 5, 13) grid = sin(grid, 9, 10, -1.8565532127479274, -54.75186223635349) grid = transit(grid, 10, [14], [1.0]) grid = transit(grid, 15, [11, 4, 10], [0.6926745567135898, 0.1831142410590532, 0.12421120222735695]) grid = magnitude(grid, 7, [6, 12, 7, 13, 8], 2) grid = transit(grid, 8, [3, 15, 9, 6, 11], [0.036102265915692405, 0.1224495166624379, 0.2384660328868578, 0.3357862916746864, 0.2671958928603256]) grid = smooth_min(grid, 1, 1, 11) grid = transit(grid, 5, [11, 4, 2, 1, 13, 12, 0, 8], [0.08486049729383285, 0.15069099224942706, 0.024923245737924458, 0.07191051851248272, 0.25942601829807205, 0.16834508849259286, 0.14540219911263502, 0.094441440303033]) grid = transit(grid, 11, [12], [1.0]) grid = power(grid, 3, 5, 0.10200689258338674) grid = transit(grid, 2, [10, 11, 4, 15, 0, 6], [0.24973877983541862, 0.3378766591098989, 0.15974656746239488, 0.027776085211312595, 0.02330072841260748, 0.20156117996836745]) grid = smooth_min(grid, 0, 5, 1) grid = magnitude(grid, 0, [5, 0], 2) grid = transit(grid, 6, [15, 8], [0.5303803951305812, 0.4696196048694189]) grid = inverse(grid, 0, 0) grid = magnitude(grid, 13, [8], 2) grid = transit(grid, 13, [15, 5, 9, 4, 6, 12], [0.18067242214638962, 0.12939497982917472, 0.08164480089591167, 0.24583958083442445, 0.2244518823086713, 0.13799633398542827]) grid = transit(grid, 11, [0], [1.0]) grid = magnitude(grid, 0, [4, 13], 2) grid = transit(grid, 8, [5, 4, 15, 6, 14, 0, 3, 11], [0.13835365002720226, 0.008781149737259792, 0.24627334258742545, 0.04870190081124998, 0.049950480577274, 0.15123046752435387, 0.31255198044446264, 0.04415702829077187]) grid = transit(grid, 1, [3], [1.0]) grid = magnitude(grid, 14, [4], 2) grid = sin(grid, 1, 5, 8.18216846853571, -6.729427492311089) grid = magnitude(grid, 11, [8, 2], 2) grid = transit(grid, 7, [12, 11, 13, 4], [0.1713900685471786, 0.14082681623065177, 0.19859698568682838, 0.4891861295353413]) grid = transit(grid, 13, [12, 15, 9, 2, 0, 1, 5], [0.18796556626817826, 0.19260744772691155, 0.11226112831146452, 0.08161640805634696, 0.08706050582840198, 0.2243337708440404, 0.11415517296465624]) grid = sin(grid, 11, 13, -6.909579361872105, 70.84834564082374) grid = transit(grid, 2, [11, 7, 13], [0.3629247592109436, 0.10073172896374764, 0.5363435118253088]) grid = sin(grid, 1, 5, 0.6814927249849106, 30.75954926767548) grid = inverse(grid, 8, 7) grid = prod(grid, 10, [5, 2]) grid = transit(grid, 15, [0, 3], [0.29345909580747953, 0.7065409041925205]) grid = sin(grid, 12, 4, -1.6398586072056767, 84.51374680259704) grid = sin(grid, 1, 1, -0.183401440709518, -88.40242580975152) grid = transit(grid, 12, [3, 13, 2, 9, 0], [0.24803411847529433, 0.2425397323068922, 0.0904752958055755, 0.11683555248582808, 0.30211530092641004]) grid = sin(grid, 5, 2, -2.2972705471452146, -12.522748365129786) grid = smooth_min(grid, 12, 9, 11) grid = sin(grid, 4, 15, -1.9527829039221054, 20.537776250912316) grid = transit(grid, 7, [11, 9, 2], [0.5001532946669459, 0.42070604285213226, 0.07914066248092186]) grid = inverse(grid, 5, 12) grid = sin(grid, 10, 2, 0.9155140652310594, -34.1653400637653) grid = transit(grid, 8, [14], [1.0]) grid = transit(grid, 4, [1, 12, 15, 13, 3], [0.32356965941479515, 0.022696478437764827, 0.2132573540073865, 0.11957266769813353, 0.3209038404419199]) grid = transit(grid, 6, [1, 7, 0, 2, 9, 4, 8], [0.06904450551777742, 0.12680650314665426, 0.1756104206123629, 0.013987480750913602, 0.1337935702206657, 0.39097327478734406, 0.08978424496428203]) grid = smooth_min(grid, 9, 9, 10) grid = shift(grid, 8, 1, -0.2952350240798842) grid = sin(grid, 11, 6, 1.576100090732909, -21.508000199215132) grid = shift(grid, 11, 5, 1.0526879494498724) grid = transit(grid, 1, [14], [1.0]) grid = transit(grid, 8, [9, 10, 2, 15, 13], [0.3265190472987195, 0.21568397721657098, 0.06226802479442838, 0.0028158122366541832, 0.39271313845362693]) grid = magnitude(grid, 11, [13, 10, 12, 2, 11, 14], 2) grid = transit(grid, 12, [8, 11, 3], [0.2717231795161624, 0.38648847983305307, 0.3417883406507845]) grid = transit(grid, 15, [7, 3], [0.9172074355564371, 0.08279256444356292]) grid = transit(grid, 13, [1, 2, 7, 5, 8, 9, 15], [0.085742434722219, 0.4119764535375412, 0.08377067725345017, 0.13045782410775286, 0.02917564277599849, 0.12489006625007311, 0.13398690135296518]) grid = transit(grid, 2, [2, 0, 11, 10, 5, 4, 15, 13], [0.1869735689344564, 0.06343641920215143, 0.038951322931441136, 0.04613309733662021, 0.19750663742298355, 0.16072124228620793, 0.15869932715876592, 0.14757838472737334]) grid = transit(grid, 2, [1, 7], [0.18247956114317448, 0.8175204388568255]) grid = transit(grid, 8, [11, 15, 0], [0.08195235243098883, 0.6796005904358621, 0.23844705713314918]) grid = power(grid, 14, 0, 0.10854801586669052) grid = shift(grid, 8, 9, 2.766857264282361) grid = transit(grid, 3, [6, 14, 0, 3, 15, 4, 2, 11, 13], [0.03597236183123865, 0.04938629068404894, 0.08457069101219464, 0.014801187461296406, 0.3649334871683411, 0.28062233683539095, 0.08637063851194285, 0.06076815802338077, 0.022574848472165728]) grid = transit(grid, 4, [11, 4, 15, 10, 8, 5, 2, 3], [0.23701292672659616, 0.08316792464084911, 0.017867439461611043, 0.36417402420248035, 0.02841485585755143, 0.19916101840344472, 0.03422984110049058, 0.03597196960697647]) grid = magnitude(grid, 13, [11, 7], 2) grid = sin(grid, 4, 8, 4.28026157040775, -75.14180284322572) grid = prod(grid, 3, [14, 15]) grid = inverse(grid, 5, 5) grid = transit(grid, 4, [8, 4, 15, 9, 10], [0.10267794314653868, 0.019022820046952493, 0.061606568183823145, 0.4832751235896067, 0.33341754503307897]) grid = transit(grid, 13, [10, 8, 9, 12, 2], [0.031587088727564654, 0.024264739611302585, 0.0306940545567164, 0.19611241111174804, 0.7173417059926683]) grid = transit(grid, 0, [7, 1, 11, 0, 15], [0.036901331671075975, 0.5054281720479712, 0.13288430351514774, 0.10820806749406277, 0.21657812527174225]) grid = transit(grid, 3, [7, 3, 12, 9], [0.13643904772292245, 0.38438336340747, 0.15936221296996333, 0.31981537589964426]) grid = sin(grid, 10, 3, -2.5681840787633137, -30.256455817944243) grid = sin(grid, 8, 2, 3.501615294498545, -75.50049353340206) grid = prod(grid, 9, [1, 4, 0, 6]) grid = transit(grid, 8, [9, 3], [0.30088974760959275, 0.6991102523904072]) grid = transit(grid, 8, [2, 11, 15, 4, 1, 0, 14], [0.29712982335534416, 0.2526657169525107, 0.08415696601637544, 0.18541009701166816, 0.011062110917544764, 0.017334502896306194, 0.1522407828502505]) grid = prod(grid, 2, [8, 7, 11, 10, 15, 0, 5]) grid = transit(grid, 11, [7, 2, 3, 9, 5], [0.24039798004748805, 0.2886075990223525, 0.18742374307846998, 0.11615833154358073, 0.16741234630810867]) grid = prod(grid, 0, [0, 1, 2, 14]) grid = prod(grid, 9, [10, 11, 8, 15, 0, 12, 3]) grid = transit(grid, 13, [5, 15, 10], [0.13237609957996088, 0.22944646977966682, 0.6381774306403722]) grid = transit(grid, 6, [15], [1.0]) grid = sin(grid, 15, 0, -0.033265790773207085, 51.94880270063618) grid = smooth_min(grid, 13, 10, 15) grid = transit(grid, 1, [12, 8, 10, 4, 2], [0.43102537693091664, 0.25433300797798253, 0.21618454566402304, 0.046743011673522995, 0.05171405775355483]) grid = sin(grid, 10, 10, 0.9558311639914843, -47.618914508652054) grid = shift(grid, 9, 8, -1.1449289879251126) grid = transit(grid, 7, [4, 10, 1, 13, 5, 0, 7, 8, 9, 12, 6, 11, 14], [0.10006330804326793, 0.03891760159161208, 0.005474465860804227, 0.12962618248625338, 0.03090992138168193, 0.016043163973997736, 0.13259375374543056, 0.09920705802758992, 0.1415090600653345, 0.09597789664069131, 0.06106766497801195, 0.14032187015082653, 0.008288053054498123]) grid = prod(grid, 15, [12, 15]) grid = prod(grid, 8, [11, 7, 4, 12]) grid = transit(grid, 7, [15, 6, 2, 7], [0.45073658968521574, 0.16060948991238613, 0.12949271785123345, 0.2591612025511646]) grid = transit(grid, 10, [11, 4, 2, 8, 14], [0.3705316303566195, 0.1755951969700656, 0.043989590834687294, 0.22866693087969006, 0.1812166509589377]) grid = sin(grid, 4, 2, -3.329894296119046, -76.41676919069447) grid = smooth_min(grid, 11, 8, 12) grid = transit(grid, 1, [1, 14, 8], [0.38986786543390084, 0.40057743619803005, 0.20955469836806906]) grid = transit(grid, 9, [5], [1.0]) grid = shift(grid, 9, 13, -5.367438086043798) grid = magnitude(grid, 13, [2, 0], 2) grid = transit(grid, 13, [6, 2, 3, 15, 5, 7], [0.06492287400539203, 0.21223490901058306, 0.36311130408652753, 0.09994467226348329, 0.12833432959710458, 0.1314519110369097]) grid = transit(grid, 8, [6, 2], [0.6857167761482571, 0.31428322385174284]) grid = shift(grid, 6, 15, 4.115946851379848) grid = transit(grid, 15, [13, 3], [0.5897775709748927, 0.41022242902510725]) grid = sin(grid, 12, 14, 1.097917736937588, 58.87772371184383) grid = transit(grid, 11, [9, 11], [0.37033495928182997, 0.6296650407181701]) grid = smooth_min(grid, 4, 1, 8) grid = sin(grid, 4, 4, 3.47544933993972, -37.11795195118333) grid = sin(grid, 11, 7, -0.3409112713023047, 75.93313567333723) grid = transit(grid, 11, [5, 10, 7], [0.22694849313985146, 0.5162695719847235, 0.25678193487542517]) grid = sin(grid, 9, 9, -4.261918262131112, 18.680580924548693) grid = smooth_max(grid, 2, 2, 11) grid = sin(grid, 13, 13, 7.718114740496995, 55.242200715207815) grid = sin(grid, 12, 10, -3.1151555334821888, 17.571856948335267) grid = prod(grid, 6, [2, 4, 13]) grid = transit(grid, 5, [1, 9, 3, 10, 4], [0.24075568684771534, 0.02527375632067568, 0.4828116495090197, 0.09546712897709621, 0.15569177834549294]) grid = sin(grid, 6, 3, -0.1377650382373763, -96.34412250071645) grid = sin(grid, 7, 3, 1.6405444007982959, -37.09230830685477) grid = transit(grid, 9, [8], [1.0]) grid = sin(grid, 5, 10, -1.5052434957207308, 24.900059771988836) grid = sin(grid, 8, 10, 2.5947698108630664, -90.74050288622541) grid = sin(grid, 9, 8, -0.8743741598911887, 15.92872484723533) grid = transit(grid, 4, [3, 13, 9, 8, 5, 2, 12], [0.05731677054419865, 0.08527765171582982, 0.33929504571762287, 0.1932983536368378, 0.0036374435750729187, 0.12289545051895708, 0.19827928429148084]) grid = transit(grid, 8, [13, 9, 5, 7, 14], [0.05801706264076675, 0.341923243761946, 0.0494872820880747, 0.29583940098242745, 0.2547330105267852]) grid = inverse(grid, 11, 5) grid = magnitude(grid, 14, [4, 6, 1, 0], 2) grid = transit(grid, 13, [11, 0], [0.6569516962992897, 0.3430483037007103]) grid = sin(grid, 14, 5, 0.053526366336325744, 4.147364704932215) grid = transit(grid, 4, [3], [1.0]) grid = sin(grid, 3, 12, -4.078686662791614, 24.459526349523884) grid = inverse(grid, 15, 10) grid = shift(grid, 6, 1, -1.115193397983063) grid = smooth_max(grid, 13, 3, 8) grid = transit(grid, 13, [13, 0, 5, 14], [0.09662806703796267, 0.1621478194912538, 0.21548762580464817, 0.5257364876661353]) grid = inverse(grid, 1, 0) grid = smooth_max(grid, 1, 15, 12) grid = prod(grid, 11, [3]) grid = smooth_max(grid, 8, 11, 15) grid = sin(grid, 12, 6, -3.621533174445339, 24.02414911462421) grid = sin(grid, 1, 11, 0.5071121900678415, 10.950101187785563) grid = shift(grid, 13, 3, 5.677279514103952) grid = transit(grid, 3, [15, 11, 2, 8, 0], [0.28772794692354614, 0.1935939805514465, 0.06024872230823076, 0.13457223936247906, 0.32385711085429764]) grid = transit(grid, 1, [7, 2, 6, 1, 4, 0], [0.2070905138265326, 0.06562120796792839, 0.17355051228662716, 0.05514926535269553, 0.0829726599151083, 0.41561584065110807]) grid = transit(grid, 2, [0, 4, 2], [0.010597803396528332, 0.7371576932264431, 0.25224450337702853]) grid = sin(grid, 11, 8, 4.303514875116891, -67.11152580467314) grid = prod(grid, 5, [3, 9, 2]) grid = sin(grid, 5, 1, 2.0751861425380627, 63.37681521624819) grid = smooth_min(grid, 11, 10, 9) grid = sin(grid, 13, 2, 4.295107938126156, 57.378601701270014) grid = sin(grid, 10, 2, -0.010214061334835559, 20.43114218394348) grid = transit(grid, 8, [1], [1.0]) grid = sin(grid, 4, 9, 0.2366252211469413, -40.63773874328931) grid = sin(grid, 9, 15, -2.507870105026106, -89.43842740853354) grid = transit(grid, 0, [12, 6, 4, 9, 1, 0, 14], [0.36336761526831185, 0.17372789204937897, 0.08036453739500136, 0.09747098994785518, 0.040818441056887325, 0.16796111771248814, 0.07628940657007711]) grid = transit(grid, 3, [11, 1, 12, 9, 0, 8, 15, 2, 10, 14], [0.20381942291270427, 0.07753380798970702, 0.11445683149439734, 0.08475226158626031, 0.1416941580568898, 0.020968563089492034, 0.0847896752697893, 0.0921589665387646, 0.008240731277180186, 0.17158558178481512]) grid = transit(grid, 5, [11, 10], [0.9817011300708863, 0.018298869929113594]) grid = sin(grid, 14, 8, -0.4693746108213766, -98.17810769380118) grid = sin(grid, 12, 10, 3.6427863324838423, 99.297524709649) grid = sin(grid, 5, 14, -1.45141083652418, -99.85812912291547) grid = transit(grid, 0, [4, 3, 8], [0.23275058190778222, 0.49901982570530873, 0.2682295923869092]) grid = magnitude(grid, 8, [10, 9, 12, 4, 7, 15], 2) grid = sin(grid, 12, 7, 1.439019575760617, 13.126437741104823) grid = transit(grid, 10, [15, 8, 13, 2], [0.32464063956303774, 0.20922781529873477, 0.16179927966914437, 0.30433226546908315]) grid = magnitude(grid, 6, [14, 5, 13, 11, 2, 9], 2) grid = sin(grid, 9, 5, -5.606152225672729, -35.928477282758536) grid = transit(grid, 0, [7, 11, 15, 8, 12, 0, 4, 14, 3, 5], [0.11084510086381213, 0.003439701966452383, 0.10819642722960272, 0.15371289739415475, 0.25812192912399506, 0.005727171643985687, 0.14633649245899077, 0.033890406689391105, 0.05550396325806974, 0.1242259093715456]) grid = smooth_max(grid, 10, 15, 10) grid = transit(grid, 11, [9, 0, 11, 7, 3, 8], [0.03500911832175082, 0.03265868671024263, 0.3248025339288217, 0.4234363710484886, 0.13338109758306646, 0.050712192407629864]) grid = transit(grid, 7, [14, 2, 13, 1, 11, 3, 8, 7], [0.207462236904601, 0.11516125867317799, 0.12240760599022518, 0.05066197369764289, 0.13869178538077429, 0.09948828746526778, 0.16686217850764798, 0.09926467338066268]) grid = transit(grid, 6, [6, 13, 7], [0.16813621041531998, 0.42150135317124293, 0.410362436413437]) grid = inverse(grid, 6, 6) grid = sin(grid, 7, 15, -4.9164570678736865, 86.15931416043557) grid = sin(grid, 1, 7, 1.6265187305620117, -97.13150019385894) grid = transit(grid, 11, [0, 9], [0.1290607634325389, 0.8709392365674611]) grid = transit(grid, 14, [14, 13, 15], [0.530662002197574, 0.1082014600047566, 0.36113653779766947]) grid = transit(grid, 14, [10, 14, 4, 9, 13, 6], [0.3199750359220948, 0.07376266150860299, 0.03622483092076182, 0.09070212266434277, 0.4030414045204916, 0.07629394446370606]) grid = magnitude(grid, 13, [7, 4, 15], 2) grid = transit(grid, 13, [6, 15, 11, 9, 12], [0.21908823570589997, 0.1636179110868493, 0.03797238284324163, 0.29532957711092916, 0.2839918932530799]) grid = sin(grid, 4, 3, 2.634465399239887, 62.07538440217337) grid = sin(grid, 7, 2, 3.41043792019894, 65.36615977552518) grid = transit(grid, 0, [14, 3, 11, 10, 7], [0.5203714128788618, 0.068511863728177, 0.10141059844877331, 0.2728285912351676, 0.036877533709020166]) grid = transit(grid, 7, [11], [1.0]) grid = transit(grid, 5, [9, 13, 3, 14], [0.28064413535886806, 0.5181512474389621, 0.1504742947642479, 0.050730322437922]) grid = prod(grid, 1, [12, 13]) grid = sin(grid, 6, 14, -1.927951619591129, -65.3028706482776) grid = prod(grid, 14, [13]) grid = sin(grid, 1, 12, -0.5111321725063378, 18.261359970959475) grid = power(grid, 6, 5, 0.9223892145169746) grid = transit(grid, 2, [9, 11, 10], [0.2662646690994658, 0.2460545507972383, 0.4876807801032959]) grid = transit(grid, 2, [7], [1.0]) grid = sin(grid, 10, 9, 6.219381309190064, -71.03631884776823) grid = sin(grid, 9, 6, 1.6821417847846682, -64.12547446801875) grid = sin(grid, 13, 3, -0.15800274281797377, 90.63950889076133) grid = sin(grid, 14, 14, -1.842523240371888, 74.23947694195837) grid = inverse(grid, 7, 8) grid = smooth_max(grid, 10, 3, 15) grid = magnitude(grid, 9, [15, 7], 2) grid = transit(grid, 4, [4, 12, 14, 15, 7, 1], [0.20378471182464508, 0.038241020379710625, 0.16903312106740406, 0.3387613981701764, 0.11303295854369695, 0.13714679001436697]) grid = transit(grid, 4, [14, 11, 12, 13, 4, 7], [0.23221079251346607, 0.3307147367708056, 0.26199556841553734, 0.018127231672754242, 0.13788777275073352, 0.01906389787670339]) grid = sin(grid, 4, 7, 3.7705302330112063, 56.91558505626969) grid = sin(grid, 3, 9, 1.4275963527158242, -76.78247379244436) grid = sin(grid, 2, 5, -5.225820110717917, 57.71107021356826) grid = transit(grid, 2, [12], [1.0]) grid = prod(grid, 14, [11, 10]) grid = transit(grid, 2, [0, 15, 10], [0.005204838856346087, 0.5116602651328436, 0.48313489601081044]) grid = transit(grid, 10, [10], [1.0]) grid = transit(grid, 1, [8, 10, 15, 14, 9], [0.33493798319460544, 0.14040206011900094, 0.3010385316537353, 0.07412413198773361, 0.14949729304492473]) grid = magnitude(grid, 10, [11, 0, 5], 2) grid = magnitude(grid, 9, [15, 3, 11, 0, 14], 2) grid = sin(grid, 4, 5, -1.8457292172108153, -53.43885199947502) grid = sin(grid, 10, 0, 7.741409383532979, -12.082110529508299) grid = prod(grid, 11, [9]) grid = sin(grid, 4, 3, 0.10154488887533689, 12.479110491961137) grid = magnitude(grid, 1, [7], 2) grid = smooth_min(grid, 7, 4, 13) grid = magnitude(grid, 5, [7], 2) grid = transit(grid, 6, [9, 11, 2, 13], [0.381505247910628, 0.12073241493361198, 0.3454992433435407, 0.15226309381221942]) grid = magnitude(grid, 10, [7, 15, 5], 2) grid = magnitude(grid, 9, [12, 14, 4], 2) grid = shift(grid, 3, 9, 3.0393348894939773) grid = shift(grid, 2, 4, 2.1961962516242517) grid = prod(grid, 15, [3, 5, 0, 1]) grid = sin(grid, 6, 11, -0.7697482296056479, 23.55348445076298) grid = sin(grid, 7, 7, 0.5492744322205282, 35.873568370773654) grid = transit(grid, 7, [13], [1.0]) grid = sin(grid, 3, 12, 6.470760426148978, -53.62090724330151) grid = sin(grid, 10, 10, 0.7827958631857042, -90.82177259964699) grid = transit(grid, 6, [8, 6, 5, 7, 4, 2], [0.39579476392315127, 0.3200094081197146, 0.06439062651950353, 0.03284446726347166, 0.04732779189481446, 0.13963294227934445]) grid = smooth_min(grid, 0, 13, 15) grid = smooth_max(grid, 5, 8, 4) grid = transit(grid, 10, [1], [1.0]) grid = transit(grid, 15, [15], [1.0]) grid = prod(grid, 13, [6, 3, 7]) grid = sin(grid, 0, 3, -3.561651028660104, 11.539889679902203) grid = power(grid, 10, 5, 0.12539493928522222) grid = power(grid, 0, 12, 2.5526439221510495) grid = sin(grid, 4, 10, -3.680544885171134, 30.633332441673872) grid = transit(grid, 11, [12, 6, 9], [0.1597221050818672, 0.523275926379751, 0.31700196853838186]) grid = sin(grid, 14, 7, 5.409920766787869, -58.09956716630187) grid = sin(grid, 2, 15, -2.5319898824657017, -45.01904701883333) grid = shift(grid, 5, 5, 3.1584260780059252) grid = transit(grid, 10, [9, 8], [0.7777441717493406, 0.22225582825065934]) grid = transit(grid, 3, [9], [1.0]) grid = transit(grid, 11, [2], [1.0]) #create color space def shift_colors(x, shift): res = x.copy() for i in range(x.shape[-1]): if shift[i] > 0: res[:,:,i] = (-np.abs(((x[:,:,i] + 1) / 2) ** (1 + shift[i]) - 1) ** (1 / (1 + shift[i])) + 1) * 2 - 1 if shift[i] < 0: res[:,:,i] = np.abs((1 - (x [:,:,i]+ 1) / 2) ** (1 - shift[i]) - 1) ** (1 / (1 - shift[i])) * 2 - 1 return test_values(res) res = np.zeros((SIZE, SIZE, 3)) res += shift_colors(grid[:,:,0:1].repeat(3, -1), [1.9355805467383669, 1.4677093499726706, 1.2451388311186942]) res = res / 1 res = ((res + 1) / 2 * 255).clip(0,255) #save results im = Image.fromarray(np.uint8(res)) im.save(os.path.basename(__file__) + '.png') #save layers img = np.zeros((SIZE * 4, SIZE * 4)) for j in range(GRID_CHANNELS): x = j % 4 y = j // 4 img[x*SIZE:(x + 1)*SIZE, y*SIZE:(y+1)*SIZE] = grid[:,:,j] img = (img + 1) * 127.5 im = Image.fromarray(np.uint8(img)) im.save(os.path.basename(__file__) + '_layers.png')

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0

1

0

1

0

1

0

null

0

3

ed6da0909e41c7d13eeccbce6856b66ed6774782

1,273

py

Python

yudzuki/role.py

LunaProject-Discord/yudzuki.py

7ff2d1f9e39ed5300a46c48fb95df50046814ede

[ "MIT" ]

6

2021-04-29T12:48:55.000Z

2021-06-25T06:54:37.000Z

yudzuki/role.py

LunaProject-Discord/yudzuki.py

7ff2d1f9e39ed5300a46c48fb95df50046814ede

[ "MIT" ]

null

yudzuki/role.py

LunaProject-Discord/yudzuki.py

7ff2d1f9e39ed5300a46c48fb95df50046814ede

[ "MIT" ]

null

__all__ = ( "Role", ) class Role: def __init__(self, data): self.data = data self._update(data) def _get_json(self): return self.data def __repr__(self): return ( f"<Role id={self.id} name={self.name}>" ) def __str__(self): return ( f"{self.name}" ) def _update(self, data): self._id = data["id"] self._color = data["color"] self._managed = data["managed"] self._name = data["name"] self._guild_id = data["guild_id"] self._mentionable = data["mentionable"] self._position = data["potition"] self._hoisted = data["hoisted"] @property def id(self): return self._id @property def color(self): return self._color @property def managed(self): return self._managed @property def name(self): return self._name @property def guild_id(self): return self._guild_id @property def mentionable(self): return self._mentionable @property def position(self): return self._position @property def hoisted(self): return self._hoisted

19.584615

51

0.531815

136

1,273

4.683824

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0.197802

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1,273

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1

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null

0

1

0

1

0

3

ed79d1c413293473a8ee91b105de6df7218762d5

1,865

py

Python

var/spack/repos/builtin/packages/r-multicool/package.py

varioustoxins/spack

cab0e4cb240f34891a6d753f3393e512f9a99e9a

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

null

var/spack/repos/builtin/packages/r-multicool/package.py

varioustoxins/spack

cab0e4cb240f34891a6d753f3393e512f9a99e9a

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

6

2022-01-08T08:41:11.000Z

2022-03-14T19:28:07.000Z

var/spack/repos/builtin/packages/r-multicool/package.py

foeroyingur/spack

5300cbbb2e569190015c72d0970d25425ea38647

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

null

# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other # Spack Project Developers. See the top-level COPYRIGHT file for details. # # SPDX-License-Identifier: (Apache-2.0 OR MIT) from spack import * class RMulticool(RPackage): """Permutations of multisets in cool-lex order A set of tools to permute multisets without loops or hash tables and to generate integer partitions. The permutation functions are based on C code from Aaron Williams. Cool-lex order is similar to colexicographical order. The algorithm is described in Williams, A. (2009) <DOI:10.1145/1496770.1496877> Loopless Generation of Multiset Permutations by Prefix Shifts. Symposium on Discrete Algorithms, New York, United States. The permutation code is distributed without restrictions. The code for stable and efficient computation of multinomial coefficients comes from Dave Barber. The code can be download from <http://tamivox.org/dave/multinomial/code.html> and is distributed without conditions. The package also generates the integer partitions of a positive, non-zero integer n. The C++ code for this is based on Python code from Jerome Kelleher which can be found here <https://jeromekelleher.net/tag/integer-partitions.html>. The C++ code and Python code are distributed without conditions.""" homepage = "https://cloud.r-project.org/package=multicool" url = "https://cloud.r-project.org/src/contrib/Archive/multicool/multicool_0.1-9.tar.gz" list_url = "https://cloud.r-project.org/src/contrib/Archive/multicool/Archive/multicool" version('0.1-10', sha256='5bb0cb0d9eb64420c862877247a79bb0afadacfe23262ec8c3fa26e5e34d6ff9') version('0.1-9', sha256='bdf92571cef1b649952d155395a92b8683099ee13114f73a9d41fc5d7d49d329') depends_on('[email protected]:', type=('build', 'run'))

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0

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null

0

1

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null

0

1

0

3

ed87f843694726a8943e8ca3120951277107fd9a

108,939

gyp

Python

net/net.gyp

codenote/chromium-test

0637af0080f7e80bf7d20b29ce94c5edc817f390

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

null

net/net.gyp

codenote/chromium-test

0637af0080f7e80bf7d20b29ce94c5edc817f390

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

null

net/net.gyp

codenote/chromium-test

0637af0080f7e80bf7d20b29ce94c5edc817f390

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

1

2020-11-04T07:25:45.000Z

# Copyright 2013 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. { 'variables': { 'chromium_code': 1, 'linux_link_kerberos%': 0, 'conditions': [ ['chromeos==1 or OS=="android" or OS=="ios"', { # Disable Kerberos on ChromeOS, Android and iOS, at least for now. # It needs configuration (krb5.conf and so on). 'use_kerberos%': 0, }, { # chromeos == 0 'use_kerberos%': 1, }], ['OS=="android" and target_arch != "ia32"', { # The way the cache uses mmap() is inefficient on some Android devices. # If this flag is set, we hackily avoid using mmap() in the disk cache. # We are pretty confident that mmap-ing the index would not hurt any # existing x86 android devices, but we cannot be so sure about the # variety of ARM devices. So enable it for x86 only for now. 'posix_avoid_mmap%': 1, }, { 'posix_avoid_mmap%': 0, }], ['OS=="ios"', { # Websockets and socket stream are not used on iOS. 'enable_websockets%': 0, # iOS does not use V8. 'use_v8_in_net%': 0, 'enable_built_in_dns%': 0, }, { 'enable_websockets%': 1, 'use_v8_in_net%': 1, 'enable_built_in_dns%': 1, }], ], }, 'includes': [ '../build/win_precompile.gypi', ], 'targets': [ { 'target_name': 'net', 'type': '<(component)', 'variables': { 'enable_wexit_time_destructors': 1, }, 'dependencies': [ '../base/base.gyp:base', '../base/base.gyp:base_i18n', '../base/third_party/dynamic_annotations/dynamic_annotations.gyp:dynamic_annotations', '../build/temp_gyp/googleurl.gyp:googleurl', '../crypto/crypto.gyp:crypto', '../sdch/sdch.gyp:sdch', '../third_party/icu/icu.gyp:icui18n', '../third_party/icu/icu.gyp:icuuc', '../third_party/zlib/zlib.gyp:zlib', 'net_resources', ], 'sources': [ 'android/cert_verify_result_android.h', 'android/cert_verify_result_android_list.h', 'android/gurl_utils.cc', 'android/gurl_utils.h', 'android/keystore.cc', 'android/keystore.h', 'android/keystore_openssl.cc', 'android/keystore_openssl.h', 'android/net_jni_registrar.cc', 'android/net_jni_registrar.h', 'android/network_change_notifier_android.cc', 'android/network_change_notifier_android.h', 'android/network_change_notifier_delegate_android.cc', 'android/network_change_notifier_delegate_android.h', 'android/network_change_notifier_factory_android.cc', 'android/network_change_notifier_factory_android.h', 'android/network_library.cc', 'android/network_library.h', 'base/address_family.h', 'base/address_list.cc', 'base/address_list.h', 'base/address_tracker_linux.cc', 'base/address_tracker_linux.h', 'base/auth.cc', 'base/auth.h', 'base/backoff_entry.cc', 'base/backoff_entry.h', 'base/bandwidth_metrics.cc', 'base/bandwidth_metrics.h', 'base/big_endian.cc', 'base/big_endian.h', 'base/cache_type.h', 'base/completion_callback.h', 'base/connection_type_histograms.cc', 'base/connection_type_histograms.h', 'base/crypto_module.h', 'base/crypto_module_nss.cc', 'base/crypto_module_openssl.cc', 'base/data_url.cc', 'base/data_url.h', 'base/directory_lister.cc', 'base/directory_lister.h', 'base/dns_reloader.cc', 'base/dns_reloader.h', 'base/dns_util.cc', 'base/dns_util.h', 'base/escape.cc', 'base/escape.h', 'base/expiring_cache.h', 'base/file_stream.cc', 'base/file_stream.h', 'base/file_stream_context.cc', 'base/file_stream_context.h', 'base/file_stream_context_posix.cc', 'base/file_stream_context_win.cc', 'base/file_stream_metrics.cc', 'base/file_stream_metrics.h', 'base/file_stream_metrics_posix.cc', 'base/file_stream_metrics_win.cc', 'base/file_stream_net_log_parameters.cc', 'base/file_stream_net_log_parameters.h', 'base/file_stream_whence.h', 'base/filter.cc', 'base/filter.h', 'base/int128.cc', 'base/int128.h', 'base/gzip_filter.cc', 'base/gzip_filter.h', 'base/gzip_header.cc', 'base/gzip_header.h', 'base/hash_value.cc', 'base/hash_value.h', 'base/host_mapping_rules.cc', 'base/host_mapping_rules.h', 'base/host_port_pair.cc', 'base/host_port_pair.h', 'base/io_buffer.cc', 'base/io_buffer.h', 'base/ip_endpoint.cc', 'base/ip_endpoint.h', 'base/keygen_handler.cc', 'base/keygen_handler.h', 'base/keygen_handler_mac.cc', 'base/keygen_handler_nss.cc', 'base/keygen_handler_openssl.cc', 'base/keygen_handler_win.cc', 'base/linked_hash_map.h', 'base/load_flags.h', 'base/load_flags_list.h', 'base/load_states.h', 'base/load_states_list.h', 'base/load_timing_info.cc', 'base/load_timing_info.h', 'base/mime_sniffer.cc', 'base/mime_sniffer.h', 'base/mime_util.cc', 'base/mime_util.h', 'base/net_error_list.h', 'base/net_errors.cc', 'base/net_errors.h', 'base/net_errors_posix.cc', 'base/net_errors_win.cc', 'base/net_export.h', 'base/net_log.cc', 'base/net_log.h', 'base/net_log_event_type_list.h', 'base/net_log_source_type_list.h', 'base/net_module.cc', 'base/net_module.h', 'base/net_util.cc', 'base/net_util.h', 'base/net_util_posix.cc', 'base/net_util_win.cc', 'base/network_change_notifier.cc', 'base/network_change_notifier.h', 'base/network_change_notifier_factory.h', 'base/network_change_notifier_linux.cc', 'base/network_change_notifier_linux.h', 'base/network_change_notifier_mac.cc', 'base/network_change_notifier_mac.h', 'base/network_change_notifier_win.cc', 'base/network_change_notifier_win.h', 'base/network_config_watcher_mac.cc', 'base/network_config_watcher_mac.h', 'base/network_delegate.cc', 'base/network_delegate.h', 'base/nss_memio.c', 'base/nss_memio.h', 'base/openssl_private_key_store.h', 'base/openssl_private_key_store_android.cc', 'base/openssl_private_key_store_memory.cc', 'base/platform_mime_util.h', # TODO(tc): gnome-vfs? xdgmime? /etc/mime.types? 'base/platform_mime_util_linux.cc', 'base/platform_mime_util_mac.mm', 'base/platform_mime_util_win.cc', 'base/prioritized_dispatcher.cc', 'base/prioritized_dispatcher.h', 'base/priority_queue.h', 'base/rand_callback.h', 'base/registry_controlled_domains/registry_controlled_domain.cc', 'base/registry_controlled_domains/registry_controlled_domain.h', 'base/request_priority.h', 'base/sdch_filter.cc', 'base/sdch_filter.h', 'base/sdch_manager.cc', 'base/sdch_manager.h', 'base/static_cookie_policy.cc', 'base/static_cookie_policy.h', 'base/sys_addrinfo.h', 'base/test_data_stream.cc', 'base/test_data_stream.h', 'base/upload_bytes_element_reader.cc', 'base/upload_bytes_element_reader.h', 'base/upload_data.cc', 'base/upload_data.h', 'base/upload_data_stream.cc', 'base/upload_data_stream.h', 'base/upload_element.cc', 'base/upload_element.h', 'base/upload_element_reader.cc', 'base/upload_element_reader.h', 'base/upload_file_element_reader.cc', 'base/upload_file_element_reader.h', 'base/upload_progress.h', 'base/url_util.cc', 'base/url_util.h', 'base/winsock_init.cc', 'base/winsock_init.h', 'base/winsock_util.cc', 'base/winsock_util.h', 'base/zap.cc', 'base/zap.h', 'cert/asn1_util.cc', 'cert/asn1_util.h', 'cert/cert_database.cc', 'cert/cert_database.h', 'cert/cert_database_android.cc', 'cert/cert_database_ios.cc', 'cert/cert_database_mac.cc', 'cert/cert_database_nss.cc', 'cert/cert_database_openssl.cc', 'cert/cert_database_win.cc', 'cert/cert_status_flags.cc', 'cert/cert_status_flags.h', 'cert/cert_trust_anchor_provider.h', 'cert/cert_verifier.cc', 'cert/cert_verifier.h', 'cert/cert_verify_proc.cc', 'cert/cert_verify_proc.h', 'cert/cert_verify_proc_android.cc', 'cert/cert_verify_proc_android.h', 'cert/cert_verify_proc_mac.cc', 'cert/cert_verify_proc_mac.h', 'cert/cert_verify_proc_nss.cc', 'cert/cert_verify_proc_nss.h', 'cert/cert_verify_proc_openssl.cc', 'cert/cert_verify_proc_openssl.h', 'cert/cert_verify_proc_win.cc', 'cert/cert_verify_proc_win.h', 'cert/cert_verify_result.cc', 'cert/cert_verify_result.h', 'cert/crl_set.cc', 'cert/crl_set.h', 'cert/ev_root_ca_metadata.cc', 'cert/ev_root_ca_metadata.h', 'cert/multi_threaded_cert_verifier.cc', 'cert/multi_threaded_cert_verifier.h', 'cert/nss_cert_database.cc', 'cert/nss_cert_database.h', 'cert/pem_tokenizer.cc', 'cert/pem_tokenizer.h', 'cert/single_request_cert_verifier.cc', 'cert/single_request_cert_verifier.h', 'cert/test_root_certs.cc', 'cert/test_root_certs.h', 'cert/test_root_certs_mac.cc', 'cert/test_root_certs_nss.cc', 'cert/test_root_certs_openssl.cc', 'cert/test_root_certs_android.cc', 'cert/test_root_certs_win.cc', 'cert/x509_cert_types.cc', 'cert/x509_cert_types.h', 'cert/x509_cert_types_mac.cc', 'cert/x509_cert_types_win.cc', 'cert/x509_certificate.cc', 'cert/x509_certificate.h', 'cert/x509_certificate_ios.cc', 'cert/x509_certificate_mac.cc', 'cert/x509_certificate_net_log_param.cc', 'cert/x509_certificate_net_log_param.h', 'cert/x509_certificate_nss.cc', 'cert/x509_certificate_openssl.cc', 'cert/x509_certificate_win.cc', 'cert/x509_util.h', 'cert/x509_util.cc', 'cert/x509_util_ios.cc', 'cert/x509_util_ios.h', 'cert/x509_util_mac.cc', 'cert/x509_util_mac.h', 'cert/x509_util_nss.cc', 'cert/x509_util_nss.h', 'cert/x509_util_openssl.cc', 'cert/x509_util_openssl.h', 'cookies/canonical_cookie.cc', 'cookies/canonical_cookie.h', 'cookies/cookie_monster.cc', 'cookies/cookie_monster.h', 'cookies/cookie_options.h', 'cookies/cookie_store.cc', 'cookies/cookie_store.h', 'cookies/cookie_util.cc', 'cookies/cookie_util.h', 'cookies/parsed_cookie.cc', 'cookies/parsed_cookie.h', 'disk_cache/addr.cc', 'disk_cache/addr.h', 'disk_cache/backend_impl.cc', 'disk_cache/backend_impl.h', 'disk_cache/bitmap.cc', 'disk_cache/bitmap.h', 'disk_cache/block_files.cc', 'disk_cache/block_files.h', 'disk_cache/cache_creator.cc', 'disk_cache/cache_util.h', 'disk_cache/cache_util.cc', 'disk_cache/cache_util_posix.cc', 'disk_cache/cache_util_win.cc', 'disk_cache/disk_cache.h', 'disk_cache/disk_format.cc', 'disk_cache/disk_format.h', 'disk_cache/entry_impl.cc', 'disk_cache/entry_impl.h', 'disk_cache/errors.h', 'disk_cache/eviction.cc', 'disk_cache/eviction.h', 'disk_cache/experiments.h', 'disk_cache/file.cc', 'disk_cache/file.h', 'disk_cache/file_block.h', 'disk_cache/file_lock.cc', 'disk_cache/file_lock.h', 'disk_cache/file_posix.cc', 'disk_cache/file_win.cc', 'disk_cache/histogram_macros.h', 'disk_cache/in_flight_backend_io.cc', 'disk_cache/in_flight_backend_io.h', 'disk_cache/in_flight_io.cc', 'disk_cache/in_flight_io.h', 'disk_cache/mapped_file.h', 'disk_cache/mapped_file_posix.cc', 'disk_cache/mapped_file_avoid_mmap_posix.cc', 'disk_cache/mapped_file_win.cc', 'disk_cache/mem_backend_impl.cc', 'disk_cache/mem_backend_impl.h', 'disk_cache/mem_entry_impl.cc', 'disk_cache/mem_entry_impl.h', 'disk_cache/mem_rankings.cc', 'disk_cache/mem_rankings.h', 'disk_cache/net_log_parameters.cc', 'disk_cache/net_log_parameters.h', 'disk_cache/rankings.cc', 'disk_cache/rankings.h', 'disk_cache/sparse_control.cc', 'disk_cache/sparse_control.h', 'disk_cache/stats.cc', 'disk_cache/stats.h', 'disk_cache/stats_histogram.cc', 'disk_cache/stats_histogram.h', 'disk_cache/storage_block-inl.h', 'disk_cache/storage_block.h', 'disk_cache/stress_support.h', 'disk_cache/trace.cc', 'disk_cache/trace.h', 'disk_cache/simple/simple_backend_impl.cc', 'disk_cache/simple/simple_backend_impl.h', 'disk_cache/simple/simple_disk_format.cc', 'disk_cache/simple/simple_disk_format.h', 'disk_cache/simple/simple_entry_impl.cc', 'disk_cache/simple/simple_entry_impl.h', 'disk_cache/simple/simple_index.cc', 'disk_cache/simple/simple_index.h', 'disk_cache/simple/simple_synchronous_entry.cc', 'disk_cache/simple/simple_synchronous_entry.h', 'disk_cache/flash/flash_entry_impl.cc', 'disk_cache/flash/flash_entry_impl.h', 'disk_cache/flash/format.h', 'disk_cache/flash/internal_entry.cc', 'disk_cache/flash/internal_entry.h', 'disk_cache/flash/log_store.cc', 'disk_cache/flash/log_store.h', 'disk_cache/flash/log_store_entry.cc', 'disk_cache/flash/log_store_entry.h', 'disk_cache/flash/segment.cc', 'disk_cache/flash/segment.h', 'disk_cache/flash/storage.cc', 'disk_cache/flash/storage.h', 'dns/address_sorter.h', 'dns/address_sorter_posix.cc', 'dns/address_sorter_posix.h', 'dns/address_sorter_win.cc', 'dns/dns_client.cc', 'dns/dns_client.h', 'dns/dns_config_service.cc', 'dns/dns_config_service.h', 'dns/dns_config_service_posix.cc', 'dns/dns_config_service_posix.h', 'dns/dns_config_service_win.cc', 'dns/dns_config_service_win.h', 'dns/dns_hosts.cc', 'dns/dns_hosts.h', 'dns/dns_protocol.h', 'dns/dns_query.cc', 'dns/dns_query.h', 'dns/dns_response.cc', 'dns/dns_response.h', 'dns/dns_session.cc', 'dns/dns_session.h', 'dns/dns_socket_pool.cc', 'dns/dns_socket_pool.h', 'dns/dns_transaction.cc', 'dns/dns_transaction.h', 'dns/host_cache.cc', 'dns/host_cache.h', 'dns/host_resolver.cc', 'dns/host_resolver.h', 'dns/host_resolver_impl.cc', 'dns/host_resolver_impl.h', 'dns/host_resolver_proc.cc', 'dns/host_resolver_proc.h', 'dns/mapped_host_resolver.cc', 'dns/mapped_host_resolver.h', 'dns/notify_watcher_mac.cc', 'dns/notify_watcher_mac.h', 'dns/serial_worker.cc', 'dns/serial_worker.h', 'dns/single_request_host_resolver.cc', 'dns/single_request_host_resolver.h', 'ftp/ftp_auth_cache.cc', 'ftp/ftp_auth_cache.h', 'ftp/ftp_ctrl_response_buffer.cc', 'ftp/ftp_ctrl_response_buffer.h', 'ftp/ftp_directory_listing_parser.cc', 'ftp/ftp_directory_listing_parser.h', 'ftp/ftp_directory_listing_parser_ls.cc', 'ftp/ftp_directory_listing_parser_ls.h', 'ftp/ftp_directory_listing_parser_netware.cc', 'ftp/ftp_directory_listing_parser_netware.h', 'ftp/ftp_directory_listing_parser_os2.cc', 'ftp/ftp_directory_listing_parser_os2.h', 'ftp/ftp_directory_listing_parser_vms.cc', 'ftp/ftp_directory_listing_parser_vms.h', 'ftp/ftp_directory_listing_parser_windows.cc', 'ftp/ftp_directory_listing_parser_windows.h', 'ftp/ftp_network_layer.cc', 'ftp/ftp_network_layer.h', 'ftp/ftp_network_session.cc', 'ftp/ftp_network_session.h', 'ftp/ftp_network_transaction.cc', 'ftp/ftp_network_transaction.h', 'ftp/ftp_request_info.h', 'ftp/ftp_response_info.cc', 'ftp/ftp_response_info.h', 'ftp/ftp_server_type_histograms.cc', 'ftp/ftp_server_type_histograms.h', 'ftp/ftp_transaction.h', 'ftp/ftp_transaction_factory.h', 'ftp/ftp_util.cc', 'ftp/ftp_util.h', 'http/des.cc', 'http/des.h', 'http/http_atom_list.h', 'http/http_auth.cc', 'http/http_auth.h', 'http/http_auth_cache.cc', 'http/http_auth_cache.h', 'http/http_auth_controller.cc', 'http/http_auth_controller.h', 'http/http_auth_filter.cc', 'http/http_auth_filter.h', 'http/http_auth_filter_win.h', 'http/http_auth_gssapi_posix.cc', 'http/http_auth_gssapi_posix.h', 'http/http_auth_handler.cc', 'http/http_auth_handler.h', 'http/http_auth_handler_basic.cc', 'http/http_auth_handler_basic.h', 'http/http_auth_handler_digest.cc', 'http/http_auth_handler_digest.h', 'http/http_auth_handler_factory.cc', 'http/http_auth_handler_factory.h', 'http/http_auth_handler_negotiate.cc', 'http/http_auth_handler_negotiate.h', 'http/http_auth_handler_ntlm.cc', 'http/http_auth_handler_ntlm.h', 'http/http_auth_handler_ntlm_portable.cc', 'http/http_auth_handler_ntlm_win.cc', 'http/http_auth_sspi_win.cc', 'http/http_auth_sspi_win.h', 'http/http_basic_stream.cc', 'http/http_basic_stream.h', 'http/http_byte_range.cc', 'http/http_byte_range.h', 'http/http_cache.cc', 'http/http_cache.h', 'http/http_cache_transaction.cc', 'http/http_cache_transaction.h', 'http/http_content_disposition.cc', 'http/http_content_disposition.h', 'http/http_chunked_decoder.cc', 'http/http_chunked_decoder.h', 'http/http_network_layer.cc', 'http/http_network_layer.h', 'http/http_network_session.cc', 'http/http_network_session.h', 'http/http_network_session_peer.cc', 'http/http_network_session_peer.h', 'http/http_network_transaction.cc', 'http/http_network_transaction.h', 'http/http_pipelined_connection.h', 'http/http_pipelined_connection_impl.cc', 'http/http_pipelined_connection_impl.h', 'http/http_pipelined_host.cc', 'http/http_pipelined_host.h', 'http/http_pipelined_host_capability.h', 'http/http_pipelined_host_forced.cc', 'http/http_pipelined_host_forced.h', 'http/http_pipelined_host_impl.cc', 'http/http_pipelined_host_impl.h', 'http/http_pipelined_host_pool.cc', 'http/http_pipelined_host_pool.h', 'http/http_pipelined_stream.cc', 'http/http_pipelined_stream.h', 'http/http_proxy_client_socket.cc', 'http/http_proxy_client_socket.h', 'http/http_proxy_client_socket_pool.cc', 'http/http_proxy_client_socket_pool.h', 'http/http_request_headers.cc', 'http/http_request_headers.h', 'http/http_request_info.cc', 'http/http_request_info.h', 'http/http_response_body_drainer.cc', 'http/http_response_body_drainer.h', 'http/http_response_headers.cc', 'http/http_response_headers.h', 'http/http_response_info.cc', 'http/http_response_info.h', 'http/http_security_headers.cc', 'http/http_security_headers.h', 'http/http_server_properties.cc', 'http/http_server_properties.h', 'http/http_server_properties_impl.cc', 'http/http_server_properties_impl.h', 'http/http_status_code.h', 'http/http_stream.h', 'http/http_stream_base.h', 'http/http_stream_factory.cc', 'http/http_stream_factory.h', 'http/http_stream_factory_impl.cc', 'http/http_stream_factory_impl.h', 'http/http_stream_factory_impl_job.cc', 'http/http_stream_factory_impl_job.h', 'http/http_stream_factory_impl_request.cc', 'http/http_stream_factory_impl_request.h', 'http/http_stream_parser.cc', 'http/http_stream_parser.h', 'http/http_transaction.h', 'http/http_transaction_delegate.h', 'http/http_transaction_factory.h', 'http/http_util.cc', 'http/http_util.h', 'http/http_util_icu.cc', 'http/http_vary_data.cc', 'http/http_vary_data.h', 'http/http_version.h', 'http/md4.cc', 'http/md4.h', 'http/partial_data.cc', 'http/partial_data.h', 'http/proxy_client_socket.h', 'http/proxy_client_socket.cc', 'http/transport_security_state.cc', 'http/transport_security_state.h', 'http/transport_security_state_static.h', 'http/url_security_manager.cc', 'http/url_security_manager.h', 'http/url_security_manager_posix.cc', 'http/url_security_manager_win.cc', 'ocsp/nss_ocsp.cc', 'ocsp/nss_ocsp.h', 'proxy/dhcp_proxy_script_adapter_fetcher_win.cc', 'proxy/dhcp_proxy_script_adapter_fetcher_win.h', 'proxy/dhcp_proxy_script_fetcher.cc', 'proxy/dhcp_proxy_script_fetcher.h', 'proxy/dhcp_proxy_script_fetcher_factory.cc', 'proxy/dhcp_proxy_script_fetcher_factory.h', 'proxy/dhcp_proxy_script_fetcher_win.cc', 'proxy/dhcp_proxy_script_fetcher_win.h', 'proxy/dhcpcsvc_init_win.cc', 'proxy/dhcpcsvc_init_win.h', 'proxy/multi_threaded_proxy_resolver.cc', 'proxy/multi_threaded_proxy_resolver.h', 'proxy/network_delegate_error_observer.cc', 'proxy/network_delegate_error_observer.h', 'proxy/polling_proxy_config_service.cc', 'proxy/polling_proxy_config_service.h', 'proxy/proxy_bypass_rules.cc', 'proxy/proxy_bypass_rules.h', 'proxy/proxy_config.cc', 'proxy/proxy_config.h', 'proxy/proxy_config_service.h', 'proxy/proxy_config_service_android.cc', 'proxy/proxy_config_service_android.h', 'proxy/proxy_config_service_fixed.cc', 'proxy/proxy_config_service_fixed.h', 'proxy/proxy_config_service_ios.cc', 'proxy/proxy_config_service_ios.h', 'proxy/proxy_config_service_linux.cc', 'proxy/proxy_config_service_linux.h', 'proxy/proxy_config_service_mac.cc', 'proxy/proxy_config_service_mac.h', 'proxy/proxy_config_service_win.cc', 'proxy/proxy_config_service_win.h', 'proxy/proxy_config_source.cc', 'proxy/proxy_config_source.h', 'proxy/proxy_info.cc', 'proxy/proxy_info.h', 'proxy/proxy_list.cc', 'proxy/proxy_list.h', 'proxy/proxy_resolver.h', 'proxy/proxy_resolver_error_observer.h', 'proxy/proxy_resolver_mac.cc', 'proxy/proxy_resolver_mac.h', 'proxy/proxy_resolver_script.h', 'proxy/proxy_resolver_script_data.cc', 'proxy/proxy_resolver_script_data.h', 'proxy/proxy_resolver_winhttp.cc', 'proxy/proxy_resolver_winhttp.h', 'proxy/proxy_retry_info.h', 'proxy/proxy_script_decider.cc', 'proxy/proxy_script_decider.h', 'proxy/proxy_script_fetcher.h', 'proxy/proxy_script_fetcher_impl.cc', 'proxy/proxy_script_fetcher_impl.h', 'proxy/proxy_server.cc', 'proxy/proxy_server.h', 'proxy/proxy_server_mac.cc', 'proxy/proxy_service.cc', 'proxy/proxy_service.h', 'quic/blocked_list.h', 'quic/congestion_control/available_channel_estimator.cc', 'quic/congestion_control/available_channel_estimator.h', 'quic/congestion_control/channel_estimator.cc', 'quic/congestion_control/channel_estimator.h', 'quic/congestion_control/cube_root.cc', 'quic/congestion_control/cube_root.h', 'quic/congestion_control/cubic.cc', 'quic/congestion_control/cubic.h', 'quic/congestion_control/fix_rate_receiver.cc', 'quic/congestion_control/fix_rate_receiver.h', 'quic/congestion_control/fix_rate_sender.cc', 'quic/congestion_control/fix_rate_sender.h', 'quic/congestion_control/hybrid_slow_start.cc', 'quic/congestion_control/hybrid_slow_start.h', 'quic/congestion_control/inter_arrival_bitrate_ramp_up.cc', 'quic/congestion_control/inter_arrival_bitrate_ramp_up.h', 'quic/congestion_control/inter_arrival_overuse_detector.cc', 'quic/congestion_control/inter_arrival_overuse_detector.h', 'quic/congestion_control/inter_arrival_probe.cc', 'quic/congestion_control/inter_arrival_probe.h', 'quic/congestion_control/inter_arrival_receiver.cc', 'quic/congestion_control/inter_arrival_receiver.h', 'quic/congestion_control/inter_arrival_sender.cc', 'quic/congestion_control/inter_arrival_sender.h', 'quic/congestion_control/inter_arrival_state_machine.cc', 'quic/congestion_control/inter_arrival_state_machine.h', 'quic/congestion_control/leaky_bucket.cc', 'quic/congestion_control/leaky_bucket.h', 'quic/congestion_control/paced_sender.cc', 'quic/congestion_control/paced_sender.h', 'quic/congestion_control/quic_congestion_manager.cc', 'quic/congestion_control/quic_congestion_manager.h', 'quic/congestion_control/quic_max_sized_map.h', 'quic/congestion_control/receive_algorithm_interface.cc', 'quic/congestion_control/receive_algorithm_interface.h', 'quic/congestion_control/send_algorithm_interface.cc', 'quic/congestion_control/send_algorithm_interface.h', 'quic/congestion_control/tcp_cubic_sender.cc', 'quic/congestion_control/tcp_cubic_sender.h', 'quic/congestion_control/tcp_receiver.cc', 'quic/congestion_control/tcp_receiver.h', 'quic/crypto/aes_128_gcm_decrypter.h', 'quic/crypto/aes_128_gcm_decrypter_nss.cc', 'quic/crypto/aes_128_gcm_decrypter_openssl.cc', 'quic/crypto/aes_128_gcm_encrypter.h', 'quic/crypto/aes_128_gcm_encrypter_nss.cc', 'quic/crypto/aes_128_gcm_encrypter_openssl.cc', 'quic/crypto/crypto_framer.cc', 'quic/crypto/crypto_framer.h', 'quic/crypto/crypto_handshake.cc', 'quic/crypto/crypto_handshake.h', 'quic/crypto/crypto_protocol.h', 'quic/crypto/crypto_utils.cc', 'quic/crypto/crypto_utils.h', 'quic/crypto/curve25519_key_exchange.cc', 'quic/crypto/curve25519_key_exchange.h', 'quic/crypto/key_exchange.h', 'quic/crypto/null_decrypter.cc', 'quic/crypto/null_decrypter.h', 'quic/crypto/null_encrypter.cc', 'quic/crypto/null_encrypter.h', 'quic/crypto/p256_key_exchange.h', 'quic/crypto/p256_key_exchange_nss.cc', 'quic/crypto/p256_key_exchange_openssl.cc', 'quic/crypto/quic_decrypter.cc', 'quic/crypto/quic_decrypter.h', 'quic/crypto/quic_encrypter.cc', 'quic/crypto/quic_encrypter.h', 'quic/crypto/quic_random.cc', 'quic/crypto/quic_random.h', 'quic/crypto/scoped_evp_cipher_ctx.h', 'quic/crypto/strike_register.cc', 'quic/crypto/strike_register.h', 'quic/quic_bandwidth.cc', 'quic/quic_bandwidth.h', 'quic/quic_blocked_writer_interface.h', 'quic/quic_client_session.cc', 'quic/quic_client_session.h', 'quic/quic_crypto_client_stream.cc', 'quic/quic_crypto_client_stream.h', 'quic/quic_crypto_client_stream_factory.h', 'quic/quic_crypto_server_stream.cc', 'quic/quic_crypto_server_stream.h', 'quic/quic_crypto_stream.cc', 'quic/quic_crypto_stream.h', 'quic/quic_clock.cc', 'quic/quic_clock.h', 'quic/quic_connection.cc', 'quic/quic_connection.h', 'quic/quic_connection_helper.cc', 'quic/quic_connection_helper.h', 'quic/quic_connection_logger.cc', 'quic/quic_connection_logger.h', 'quic/quic_data_reader.cc', 'quic/quic_data_reader.h', 'quic/quic_data_writer.cc', 'quic/quic_data_writer.h', 'quic/quic_fec_group.cc', 'quic/quic_fec_group.h', 'quic/quic_framer.cc', 'quic/quic_framer.h', 'quic/quic_http_stream.cc', 'quic/quic_http_stream.h', 'quic/quic_packet_creator.cc', 'quic/quic_packet_creator.h', 'quic/quic_packet_entropy_manager.cc', 'quic/quic_packet_entropy_manager.h', 'quic/quic_packet_generator.cc', 'quic/quic_packet_generator.h', 'quic/quic_protocol.cc', 'quic/quic_protocol.h', 'quic/quic_reliable_client_stream.cc', 'quic/quic_reliable_client_stream.h', 'quic/quic_session.cc', 'quic/quic_session.h', 'quic/quic_stats.cc', 'quic/quic_stats.h', 'quic/quic_stream_factory.cc', 'quic/quic_stream_factory.h', 'quic/quic_stream_sequencer.cc', 'quic/quic_stream_sequencer.h', 'quic/quic_time.cc', 'quic/quic_time.h', 'quic/quic_utils.cc', 'quic/quic_utils.h', 'quic/reliable_quic_stream.cc', 'quic/reliable_quic_stream.h', 'socket/buffered_write_stream_socket.cc', 'socket/buffered_write_stream_socket.h', 'socket/client_socket_factory.cc', 'socket/client_socket_factory.h', 'socket/client_socket_handle.cc', 'socket/client_socket_handle.h', 'socket/client_socket_pool.cc', 'socket/client_socket_pool.h', 'socket/client_socket_pool_base.cc', 'socket/client_socket_pool_base.h', 'socket/client_socket_pool_histograms.cc', 'socket/client_socket_pool_histograms.h', 'socket/client_socket_pool_manager.cc', 'socket/client_socket_pool_manager.h', 'socket/client_socket_pool_manager_impl.cc', 'socket/client_socket_pool_manager_impl.h', 'socket/next_proto.h', 'socket/nss_ssl_util.cc', 'socket/nss_ssl_util.h', 'socket/server_socket.h', 'socket/socket_net_log_params.cc', 'socket/socket_net_log_params.h', 'socket/socket.h', 'socket/socks5_client_socket.cc', 'socket/socks5_client_socket.h', 'socket/socks_client_socket.cc', 'socket/socks_client_socket.h', 'socket/socks_client_socket_pool.cc', 'socket/socks_client_socket_pool.h', 'socket/ssl_client_socket.cc', 'socket/ssl_client_socket.h', 'socket/ssl_client_socket_nss.cc', 'socket/ssl_client_socket_nss.h', 'socket/ssl_client_socket_openssl.cc', 'socket/ssl_client_socket_openssl.h', 'socket/ssl_client_socket_pool.cc', 'socket/ssl_client_socket_pool.h', 'socket/ssl_error_params.cc', 'socket/ssl_error_params.h', 'socket/ssl_server_socket.h', 'socket/ssl_server_socket_nss.cc', 'socket/ssl_server_socket_nss.h', 'socket/ssl_server_socket_openssl.cc', 'socket/ssl_socket.h', 'socket/stream_listen_socket.cc', 'socket/stream_listen_socket.h', 'socket/stream_socket.cc', 'socket/stream_socket.h', 'socket/tcp_client_socket.cc', 'socket/tcp_client_socket.h', 'socket/tcp_client_socket_libevent.cc', 'socket/tcp_client_socket_libevent.h', 'socket/tcp_client_socket_win.cc', 'socket/tcp_client_socket_win.h', 'socket/tcp_listen_socket.cc', 'socket/tcp_listen_socket.h', 'socket/tcp_server_socket.h', 'socket/tcp_server_socket_libevent.cc', 'socket/tcp_server_socket_libevent.h', 'socket/tcp_server_socket_win.cc', 'socket/tcp_server_socket_win.h', 'socket/transport_client_socket_pool.cc', 'socket/transport_client_socket_pool.h', 'socket/unix_domain_socket_posix.cc', 'socket/unix_domain_socket_posix.h', 'socket_stream/socket_stream.cc', 'socket_stream/socket_stream.h', 'socket_stream/socket_stream_job.cc', 'socket_stream/socket_stream_job.h', 'socket_stream/socket_stream_job_manager.cc', 'socket_stream/socket_stream_job_manager.h', 'socket_stream/socket_stream_metrics.cc', 'socket_stream/socket_stream_metrics.h', 'spdy/buffered_spdy_framer.cc', 'spdy/buffered_spdy_framer.h', 'spdy/spdy_bitmasks.h', 'spdy/spdy_credential_builder.cc', 'spdy/spdy_credential_builder.h', 'spdy/spdy_credential_state.cc', 'spdy/spdy_credential_state.h', 'spdy/spdy_frame_builder.cc', 'spdy/spdy_frame_builder.h', 'spdy/spdy_frame_reader.cc', 'spdy/spdy_frame_reader.h', 'spdy/spdy_framer.cc', 'spdy/spdy_framer.h', 'spdy/spdy_header_block.cc', 'spdy/spdy_header_block.h', 'spdy/spdy_http_stream.cc', 'spdy/spdy_http_stream.h', 'spdy/spdy_http_utils.cc', 'spdy/spdy_http_utils.h', 'spdy/spdy_io_buffer.cc', 'spdy/spdy_io_buffer.h', 'spdy/spdy_priority_forest.h', 'spdy/spdy_protocol.cc', 'spdy/spdy_protocol.h', 'spdy/spdy_proxy_client_socket.cc', 'spdy/spdy_proxy_client_socket.h', 'spdy/spdy_session.cc', 'spdy/spdy_session.h', 'spdy/spdy_session_pool.cc', 'spdy/spdy_session_pool.h', 'spdy/spdy_stream.cc', 'spdy/spdy_stream.h', 'spdy/spdy_websocket_stream.cc', 'spdy/spdy_websocket_stream.h', 'ssl/client_cert_store.h', 'ssl/client_cert_store_impl.h', 'ssl/client_cert_store_impl_mac.cc', 'ssl/client_cert_store_impl_nss.cc', 'ssl/client_cert_store_impl_win.cc', 'ssl/default_server_bound_cert_store.cc', 'ssl/default_server_bound_cert_store.h', 'ssl/openssl_client_key_store.cc', 'ssl/openssl_client_key_store.h', 'ssl/server_bound_cert_service.cc', 'ssl/server_bound_cert_service.h', 'ssl/server_bound_cert_store.cc', 'ssl/server_bound_cert_store.h', 'ssl/ssl_cert_request_info.cc', 'ssl/ssl_cert_request_info.h', 'ssl/ssl_cipher_suite_names.cc', 'ssl/ssl_cipher_suite_names.h', 'ssl/ssl_client_auth_cache.cc', 'ssl/ssl_client_auth_cache.h', 'ssl/ssl_client_cert_type.h', 'ssl/ssl_config_service.cc', 'ssl/ssl_config_service.h', 'ssl/ssl_config_service_defaults.cc', 'ssl/ssl_config_service_defaults.h', 'ssl/ssl_info.cc', 'ssl/ssl_info.h', 'third_party/mozilla_security_manager/nsKeygenHandler.cpp', 'third_party/mozilla_security_manager/nsKeygenHandler.h', 'third_party/mozilla_security_manager/nsNSSCertificateDB.cpp', 'third_party/mozilla_security_manager/nsNSSCertificateDB.h', 'third_party/mozilla_security_manager/nsPKCS12Blob.cpp', 'third_party/mozilla_security_manager/nsPKCS12Blob.h', 'udp/datagram_client_socket.h', 'udp/datagram_server_socket.h', 'udp/datagram_socket.h', 'udp/udp_client_socket.cc', 'udp/udp_client_socket.h', 'udp/udp_net_log_parameters.cc', 'udp/udp_net_log_parameters.h', 'udp/udp_server_socket.cc', 'udp/udp_server_socket.h', 'udp/udp_socket.h', 'udp/udp_socket_libevent.cc', 'udp/udp_socket_libevent.h', 'udp/udp_socket_win.cc', 'udp/udp_socket_win.h', 'url_request/data_protocol_handler.cc', 'url_request/data_protocol_handler.h', 'url_request/file_protocol_handler.cc', 'url_request/file_protocol_handler.h', 'url_request/fraudulent_certificate_reporter.h', 'url_request/ftp_protocol_handler.cc', 'url_request/ftp_protocol_handler.h', 'url_request/http_user_agent_settings.h', 'url_request/protocol_intercept_job_factory.cc', 'url_request/protocol_intercept_job_factory.h', 'url_request/static_http_user_agent_settings.cc', 'url_request/static_http_user_agent_settings.h', 'url_request/url_fetcher.cc', 'url_request/url_fetcher.h', 'url_request/url_fetcher_core.cc', 'url_request/url_fetcher_core.h', 'url_request/url_fetcher_delegate.cc', 'url_request/url_fetcher_delegate.h', 'url_request/url_fetcher_factory.h', 'url_request/url_fetcher_impl.cc', 'url_request/url_fetcher_impl.h', 'url_request/url_fetcher_response_writer.cc', 'url_request/url_fetcher_response_writer.h', 'url_request/url_request.cc', 'url_request/url_request.h', 'url_request/url_request_about_job.cc', 'url_request/url_request_about_job.h', 'url_request/url_request_context.cc', 'url_request/url_request_context.h', 'url_request/url_request_context_builder.cc', 'url_request/url_request_context_builder.h', 'url_request/url_request_context_getter.cc', 'url_request/url_request_context_getter.h', 'url_request/url_request_context_storage.cc', 'url_request/url_request_context_storage.h', 'url_request/url_request_data_job.cc', 'url_request/url_request_data_job.h', 'url_request/url_request_error_job.cc', 'url_request/url_request_error_job.h', 'url_request/url_request_file_dir_job.cc', 'url_request/url_request_file_dir_job.h', 'url_request/url_request_file_job.cc', 'url_request/url_request_file_job.h', 'url_request/url_request_filter.cc', 'url_request/url_request_filter.h', 'url_request/url_request_ftp_job.cc', 'url_request/url_request_ftp_job.h', 'url_request/url_request_http_job.cc', 'url_request/url_request_http_job.h', 'url_request/url_request_job.cc', 'url_request/url_request_job.h', 'url_request/url_request_job_factory.cc', 'url_request/url_request_job_factory.h', 'url_request/url_request_job_factory_impl.cc', 'url_request/url_request_job_factory_impl.h', 'url_request/url_request_job_manager.cc', 'url_request/url_request_job_manager.h', 'url_request/url_request_netlog_params.cc', 'url_request/url_request_netlog_params.h', 'url_request/url_request_redirect_job.cc', 'url_request/url_request_redirect_job.h', 'url_request/url_request_simple_job.cc', 'url_request/url_request_simple_job.h', 'url_request/url_request_status.h', 'url_request/url_request_test_job.cc', 'url_request/url_request_test_job.h', 'url_request/url_request_throttler_entry.cc', 'url_request/url_request_throttler_entry.h', 'url_request/url_request_throttler_entry_interface.h', 'url_request/url_request_throttler_header_adapter.cc', 'url_request/url_request_throttler_header_adapter.h', 'url_request/url_request_throttler_header_interface.h', 'url_request/url_request_throttler_manager.cc', 'url_request/url_request_throttler_manager.h', 'url_request/view_cache_helper.cc', 'url_request/view_cache_helper.h', 'websockets/websocket_errors.cc', 'websockets/websocket_errors.h', 'websockets/websocket_frame.cc', 'websockets/websocket_frame.h', 'websockets/websocket_frame_parser.cc', 'websockets/websocket_frame_parser.h', 'websockets/websocket_handshake_handler.cc', 'websockets/websocket_handshake_handler.h', 'websockets/websocket_job.cc', 'websockets/websocket_job.h', 'websockets/websocket_net_log_params.cc', 'websockets/websocket_net_log_params.h', 'websockets/websocket_stream.h', 'websockets/websocket_throttle.cc', 'websockets/websocket_throttle.h', ], 'defines': [ 'NET_IMPLEMENTATION', ], 'export_dependent_settings': [ '../base/base.gyp:base', ], 'conditions': [ ['chromeos==1', { 'sources!': [ 'base/network_change_notifier_linux.cc', 'base/network_change_notifier_linux.h', 'base/network_change_notifier_netlink_linux.cc', 'base/network_change_notifier_netlink_linux.h', 'proxy/proxy_config_service_linux.cc', 'proxy/proxy_config_service_linux.h', ], }], ['use_kerberos==1', { 'defines': [ 'USE_KERBEROS', ], 'conditions': [ ['OS=="openbsd"', { 'include_dirs': [ '/usr/include/kerberosV' ], }], ['linux_link_kerberos==1', { 'link_settings': { 'ldflags': [ '<!@(krb5-config --libs gssapi)', ], }, }, { # linux_link_kerberos==0 'defines': [ 'DLOPEN_KERBEROS', ], }], ], }, { # use_kerberos == 0 'sources!': [ 'http/http_auth_gssapi_posix.cc', 'http/http_auth_gssapi_posix.h', 'http/http_auth_handler_negotiate.h', 'http/http_auth_handler_negotiate.cc', ], }], ['posix_avoid_mmap==1', { 'defines': [ 'POSIX_AVOID_MMAP', ], 'direct_dependent_settings': { 'defines': [ 'POSIX_AVOID_MMAP', ], }, 'sources!': [ 'disk_cache/mapped_file_posix.cc', ], }, { # else 'sources!': [ 'disk_cache/mapped_file_avoid_mmap_posix.cc', ], }], ['disable_ftp_support==1', { 'sources/': [ ['exclude', '^ftp/'], ], 'sources!': [ 'url_request/ftp_protocol_handler.cc', 'url_request/ftp_protocol_handler.h', 'url_request/url_request_ftp_job.cc', 'url_request/url_request_ftp_job.h', ], }], ['enable_built_in_dns==1', { 'defines': [ 'ENABLE_BUILT_IN_DNS', ] }, { # else 'sources!': [ 'dns/address_sorter_posix.cc', 'dns/address_sorter_posix.h', 'dns/dns_client.cc', ], }], ['use_openssl==1', { 'sources!': [ 'base/crypto_module_nss.cc', 'base/keygen_handler_nss.cc', 'base/nss_memio.c', 'base/nss_memio.h', 'cert/cert_database_nss.cc', 'cert/cert_verify_proc_nss.cc', 'cert/cert_verify_proc_nss.h', 'cert/nss_cert_database.cc', 'cert/nss_cert_database.h', 'cert/test_root_certs_nss.cc', 'cert/x509_certificate_nss.cc', 'cert/x509_util_nss.cc', 'cert/x509_util_nss.h', 'ocsp/nss_ocsp.cc', 'ocsp/nss_ocsp.h', 'quic/crypto/aes_128_gcm_decrypter_nss.cc', 'quic/crypto/aes_128_gcm_encrypter_nss.cc', 'quic/crypto/p256_key_exchange_nss.cc', 'socket/nss_ssl_util.cc', 'socket/nss_ssl_util.h', 'socket/ssl_client_socket_nss.cc', 'socket/ssl_client_socket_nss.h', 'socket/ssl_server_socket_nss.cc', 'socket/ssl_server_socket_nss.h', 'ssl/client_cert_store_impl_nss.cc', 'third_party/mozilla_security_manager/nsKeygenHandler.cpp', 'third_party/mozilla_security_manager/nsKeygenHandler.h', 'third_party/mozilla_security_manager/nsNSSCertificateDB.cpp', 'third_party/mozilla_security_manager/nsNSSCertificateDB.h', 'third_party/mozilla_security_manager/nsPKCS12Blob.cpp', 'third_party/mozilla_security_manager/nsPKCS12Blob.h', ], }, { # else !use_openssl: remove the unneeded files 'sources!': [ 'base/crypto_module_openssl.cc', 'base/keygen_handler_openssl.cc', 'base/openssl_private_key_store.h', 'base/openssl_private_key_store_android.cc', 'base/openssl_private_key_store_memory.cc', 'cert/cert_database_openssl.cc', 'cert/cert_verify_proc_openssl.cc', 'cert/cert_verify_proc_openssl.h', 'cert/test_root_certs_openssl.cc', 'cert/x509_certificate_openssl.cc', 'cert/x509_util_openssl.cc', 'cert/x509_util_openssl.h', 'quic/crypto/aes_128_gcm_decrypter_openssl.cc', 'quic/crypto/aes_128_gcm_encrypter_openssl.cc', 'quic/crypto/p256_key_exchange_openssl.cc', 'quic/crypto/scoped_evp_cipher_ctx.h', 'socket/ssl_client_socket_openssl.cc', 'socket/ssl_client_socket_openssl.h', 'socket/ssl_server_socket_openssl.cc', 'ssl/openssl_client_key_store.cc', 'ssl/openssl_client_key_store.h', ], }, ], [ 'use_glib == 1', { 'dependencies': [ '../build/linux/system.gyp:gconf', '../build/linux/system.gyp:gio', ], 'conditions': [ ['use_openssl==1', { 'dependencies': [ '../third_party/openssl/openssl.gyp:openssl', ], }, { # else use_openssl==0, use NSS 'dependencies': [ '../build/linux/system.gyp:ssl', ], }], ['os_bsd==1', { 'sources!': [ 'base/network_change_notifier_linux.cc', 'base/network_change_notifier_netlink_linux.cc', 'proxy/proxy_config_service_linux.cc', ], },{ 'dependencies': [ '../build/linux/system.gyp:libresolv', ], }], ['OS=="solaris"', { 'link_settings': { 'ldflags': [ '-R/usr/lib/mps', ], }, }], ], }, { # else: OS is not in the above list 'sources!': [ 'base/crypto_module_nss.cc', 'base/keygen_handler_nss.cc', 'cert/cert_database_nss.cc', 'cert/nss_cert_database.cc', 'cert/nss_cert_database.h', 'cert/test_root_certs_nss.cc', 'cert/x509_certificate_nss.cc', 'ocsp/nss_ocsp.cc', 'ocsp/nss_ocsp.h', 'third_party/mozilla_security_manager/nsKeygenHandler.cpp', 'third_party/mozilla_security_manager/nsKeygenHandler.h', 'third_party/mozilla_security_manager/nsNSSCertificateDB.cpp', 'third_party/mozilla_security_manager/nsNSSCertificateDB.h', 'third_party/mozilla_security_manager/nsPKCS12Blob.cpp', 'third_party/mozilla_security_manager/nsPKCS12Blob.h', ], }, ], [ 'toolkit_uses_gtk == 1', { 'dependencies': [ '../build/linux/system.gyp:gdk', ], }], [ 'use_nss != 1', { 'sources!': [ 'cert/cert_verify_proc_nss.cc', 'cert/cert_verify_proc_nss.h', 'ssl/client_cert_store_impl_nss.cc', ], }], [ 'enable_websockets != 1', { 'sources/': [ ['exclude', '^socket_stream/'], ['exclude', '^websockets/'], ], 'sources!': [ 'spdy/spdy_websocket_stream.cc', 'spdy/spdy_websocket_stream.h', ], }], [ 'OS == "win"', { 'sources!': [ 'http/http_auth_handler_ntlm_portable.cc', 'socket/tcp_client_socket_libevent.cc', 'socket/tcp_client_socket_libevent.h', 'socket/tcp_server_socket_libevent.cc', 'socket/tcp_server_socket_libevent.h', 'ssl/client_cert_store_impl_nss.cc', 'udp/udp_socket_libevent.cc', 'udp/udp_socket_libevent.h', ], 'dependencies': [ '../third_party/nss/nss.gyp:nspr', '../third_party/nss/nss.gyp:nss', 'third_party/nss/ssl.gyp:libssl', 'tld_cleanup', ], # TODO(jschuh): crbug.com/167187 fix size_t to int truncations. 'msvs_disabled_warnings': [4267, ], }, { # else: OS != "win" 'sources!': [ 'base/winsock_init.cc', 'base/winsock_init.h', 'base/winsock_util.cc', 'base/winsock_util.h', 'proxy/proxy_resolver_winhttp.cc', 'proxy/proxy_resolver_winhttp.h', ], }, ], [ 'OS == "mac"', { 'sources!': [ 'ssl/client_cert_store_impl_nss.cc', ], 'dependencies': [ '../third_party/nss/nss.gyp:nspr', '../third_party/nss/nss.gyp:nss', 'third_party/nss/ssl.gyp:libssl', ], 'link_settings': { 'libraries': [ '$(SDKROOT)/System/Library/Frameworks/Foundation.framework', '$(SDKROOT)/System/Library/Frameworks/Security.framework', '$(SDKROOT)/System/Library/Frameworks/SystemConfiguration.framework', '$(SDKROOT)/usr/lib/libresolv.dylib', ] }, }, ], [ 'OS == "ios"', { 'dependencies': [ '../third_party/nss/nss.gyp:nss', 'third_party/nss/ssl.gyp:libssl', ], 'link_settings': { 'libraries': [ '$(SDKROOT)/System/Library/Frameworks/CFNetwork.framework', '$(SDKROOT)/System/Library/Frameworks/MobileCoreServices.framework', '$(SDKROOT)/System/Library/Frameworks/Security.framework', '$(SDKROOT)/System/Library/Frameworks/SystemConfiguration.framework', '$(SDKROOT)/usr/lib/libresolv.dylib', ], }, }, ], ['OS=="android" and _toolset=="target" and android_webview_build == 0', { 'dependencies': [ 'net_java', ], }], [ 'OS == "android"', { 'dependencies': [ '../third_party/openssl/openssl.gyp:openssl', 'net_jni_headers', ], 'sources!': [ 'base/openssl_private_key_store_memory.cc', 'cert/cert_database_openssl.cc', 'cert/cert_verify_proc_openssl.cc', 'cert/test_root_certs_openssl.cc', ], # The net/android/keystore_openssl.cc source file needs to # access an OpenSSL-internal header. 'include_dirs': [ '../third_party/openssl', ], }, { # else OS != "android" 'defines': [ # These are the features Android doesn't support. 'ENABLE_MEDIA_CODEC_THEORA', ], }, ], [ 'OS == "linux"', { 'dependencies': [ '../build/linux/system.gyp:dbus', '../dbus/dbus.gyp:dbus', ], }, ], ], 'target_conditions': [ # These source files are excluded by default platform rules, but they # are needed in specific cases on other platforms. Re-including them can # only be done in target_conditions as it is evaluated after the # platform rules. ['OS == "android"', { 'sources/': [ ['include', '^base/platform_mime_util_linux\\.cc$'], ], }], ['OS == "ios"', { 'sources/': [ ['include', '^base/network_change_notifier_mac\\.cc$'], ['include', '^base/network_config_watcher_mac\\.cc$'], ['include', '^base/platform_mime_util_mac\\.mm$'], # The iOS implementation only partially uses NSS and thus does not # defines |use_nss|. In particular the |USE_NSS| preprocessor # definition is not used. The following files are needed though: ['include', '^cert/cert_verify_proc_nss\\.cc$'], ['include', '^cert/cert_verify_proc_nss\\.h$'], ['include', '^cert/test_root_certs_nss\\.cc$'], ['include', '^cert/x509_util_nss\\.cc$'], ['include', '^cert/x509_util_nss\\.h$'], ['include', '^dns/notify_watcher_mac\\.cc$'], ['include', '^proxy/proxy_resolver_mac\\.cc$'], ['include', '^proxy/proxy_server_mac\\.cc$'], ['include', '^ocsp/nss_ocsp\\.cc$'], ['include', '^ocsp/nss_ocsp\\.h$'], ], }], ], }, { 'target_name': 'net_unittests', 'type': '<(gtest_target_type)', 'dependencies': [ '../base/base.gyp:base', '../base/base.gyp:base_i18n', '../base/third_party/dynamic_annotations/dynamic_annotations.gyp:dynamic_annotations', '../build/temp_gyp/googleurl.gyp:googleurl', '../crypto/crypto.gyp:crypto', '../testing/gmock.gyp:gmock', '../testing/gtest.gyp:gtest', '../third_party/zlib/zlib.gyp:zlib', 'net', 'net_test_support', ], 'sources': [ 'android/keystore_unittest.cc', 'android/network_change_notifier_android_unittest.cc', 'base/address_list_unittest.cc', 'base/address_tracker_linux_unittest.cc', 'base/backoff_entry_unittest.cc', 'base/big_endian_unittest.cc', 'base/data_url_unittest.cc', 'base/directory_lister_unittest.cc', 'base/dns_util_unittest.cc', 'base/escape_unittest.cc', 'base/expiring_cache_unittest.cc', 'base/file_stream_unittest.cc', 'base/filter_unittest.cc', 'base/int128_unittest.cc', 'base/gzip_filter_unittest.cc', 'base/host_mapping_rules_unittest.cc', 'base/host_port_pair_unittest.cc', 'base/ip_endpoint_unittest.cc', 'base/keygen_handler_unittest.cc', 'base/mime_sniffer_unittest.cc', 'base/mime_util_unittest.cc', 'base/mock_filter_context.cc', 'base/mock_filter_context.h', 'base/net_log_unittest.cc', 'base/net_log_unittest.h', 'base/net_util_unittest.cc', 'base/network_change_notifier_win_unittest.cc', 'base/prioritized_dispatcher_unittest.cc', 'base/priority_queue_unittest.cc', 'base/registry_controlled_domains/registry_controlled_domain_unittest.cc', 'base/sdch_filter_unittest.cc', 'base/static_cookie_policy_unittest.cc', 'base/test_completion_callback_unittest.cc', 'base/upload_bytes_element_reader_unittest.cc', 'base/upload_data_stream_unittest.cc', 'base/upload_file_element_reader_unittest.cc', 'base/url_util_unittest.cc', 'cert/cert_verify_proc_unittest.cc', 'cert/crl_set_unittest.cc', 'cert/ev_root_ca_metadata_unittest.cc', 'cert/multi_threaded_cert_verifier_unittest.cc', 'cert/nss_cert_database_unittest.cc', 'cert/pem_tokenizer_unittest.cc', 'cert/x509_certificate_unittest.cc', 'cert/x509_cert_types_unittest.cc', 'cert/x509_util_unittest.cc', 'cert/x509_util_nss_unittest.cc', 'cert/x509_util_openssl_unittest.cc', 'cookies/canonical_cookie_unittest.cc', 'cookies/cookie_monster_unittest.cc', 'cookies/cookie_store_unittest.h', 'cookies/cookie_util_unittest.cc', 'cookies/parsed_cookie_unittest.cc', 'disk_cache/addr_unittest.cc', 'disk_cache/backend_unittest.cc', 'disk_cache/bitmap_unittest.cc', 'disk_cache/block_files_unittest.cc', 'disk_cache/cache_util_unittest.cc', 'disk_cache/entry_unittest.cc', 'disk_cache/mapped_file_unittest.cc', 'disk_cache/storage_block_unittest.cc', 'disk_cache/flash/flash_entry_unittest.cc', 'disk_cache/flash/log_store_entry_unittest.cc', 'disk_cache/flash/log_store_unittest.cc', 'disk_cache/flash/segment_unittest.cc', 'disk_cache/flash/storage_unittest.cc', 'dns/address_sorter_posix_unittest.cc', 'dns/address_sorter_unittest.cc', 'dns/dns_config_service_posix_unittest.cc', 'dns/dns_config_service_unittest.cc', 'dns/dns_config_service_win_unittest.cc', 'dns/dns_hosts_unittest.cc', 'dns/dns_query_unittest.cc', 'dns/dns_response_unittest.cc', 'dns/dns_session_unittest.cc', 'dns/dns_transaction_unittest.cc', 'dns/host_cache_unittest.cc', 'dns/host_resolver_impl_unittest.cc', 'dns/mapped_host_resolver_unittest.cc', 'dns/serial_worker_unittest.cc', 'dns/single_request_host_resolver_unittest.cc', 'ftp/ftp_auth_cache_unittest.cc', 'ftp/ftp_ctrl_response_buffer_unittest.cc', 'ftp/ftp_directory_listing_parser_ls_unittest.cc', 'ftp/ftp_directory_listing_parser_netware_unittest.cc', 'ftp/ftp_directory_listing_parser_os2_unittest.cc', 'ftp/ftp_directory_listing_parser_unittest.cc', 'ftp/ftp_directory_listing_parser_unittest.h', 'ftp/ftp_directory_listing_parser_vms_unittest.cc', 'ftp/ftp_directory_listing_parser_windows_unittest.cc', 'ftp/ftp_network_transaction_unittest.cc', 'ftp/ftp_util_unittest.cc', 'http/des_unittest.cc', 'http/http_auth_cache_unittest.cc', 'http/http_auth_controller_unittest.cc', 'http/http_auth_filter_unittest.cc', 'http/http_auth_gssapi_posix_unittest.cc', 'http/http_auth_handler_basic_unittest.cc', 'http/http_auth_handler_digest_unittest.cc', 'http/http_auth_handler_factory_unittest.cc', 'http/http_auth_handler_mock.cc', 'http/http_auth_handler_mock.h', 'http/http_auth_handler_negotiate_unittest.cc', 'http/http_auth_handler_unittest.cc', 'http/http_auth_sspi_win_unittest.cc', 'http/http_auth_unittest.cc', 'http/http_byte_range_unittest.cc', 'http/http_cache_unittest.cc', 'http/http_chunked_decoder_unittest.cc', 'http/http_content_disposition_unittest.cc', 'http/http_network_layer_unittest.cc', 'http/http_network_transaction_spdy3_unittest.cc', 'http/http_network_transaction_spdy2_unittest.cc', 'http/http_pipelined_connection_impl_unittest.cc', 'http/http_pipelined_host_forced_unittest.cc', 'http/http_pipelined_host_impl_unittest.cc', 'http/http_pipelined_host_pool_unittest.cc', 'http/http_pipelined_host_test_util.cc', 'http/http_pipelined_host_test_util.h', 'http/http_pipelined_network_transaction_unittest.cc', 'http/http_proxy_client_socket_pool_spdy2_unittest.cc', 'http/http_proxy_client_socket_pool_spdy3_unittest.cc', 'http/http_request_headers_unittest.cc', 'http/http_response_body_drainer_unittest.cc', 'http/http_response_headers_unittest.cc', 'http/http_security_headers_unittest.cc', 'http/http_server_properties_impl_unittest.cc', 'http/http_stream_factory_impl_unittest.cc', 'http/http_stream_parser_unittest.cc', 'http/http_transaction_unittest.cc', 'http/http_transaction_unittest.h', 'http/http_util_unittest.cc', 'http/http_vary_data_unittest.cc', 'http/mock_allow_url_security_manager.cc', 'http/mock_allow_url_security_manager.h', 'http/mock_gssapi_library_posix.cc', 'http/mock_gssapi_library_posix.h', 'http/mock_http_cache.cc', 'http/mock_http_cache.h', 'http/mock_sspi_library_win.cc', 'http/mock_sspi_library_win.h', 'http/transport_security_state_unittest.cc', 'http/url_security_manager_unittest.cc', 'proxy/dhcp_proxy_script_adapter_fetcher_win_unittest.cc', 'proxy/dhcp_proxy_script_fetcher_factory_unittest.cc', 'proxy/dhcp_proxy_script_fetcher_win_unittest.cc', 'proxy/multi_threaded_proxy_resolver_unittest.cc', 'proxy/network_delegate_error_observer_unittest.cc', 'proxy/proxy_bypass_rules_unittest.cc', 'proxy/proxy_config_service_android_unittest.cc', 'proxy/proxy_config_service_linux_unittest.cc', 'proxy/proxy_config_service_win_unittest.cc', 'proxy/proxy_config_unittest.cc', 'proxy/proxy_info_unittest.cc', 'proxy/proxy_list_unittest.cc', 'proxy/proxy_resolver_v8_tracing_unittest.cc', 'proxy/proxy_resolver_v8_unittest.cc', 'proxy/proxy_script_decider_unittest.cc', 'proxy/proxy_script_fetcher_impl_unittest.cc', 'proxy/proxy_server_unittest.cc', 'proxy/proxy_service_unittest.cc', 'quic/blocked_list_test.cc', 'quic/congestion_control/available_channel_estimator_test.cc', 'quic/congestion_control/channel_estimator_test.cc', 'quic/congestion_control/cube_root_test.cc', 'quic/congestion_control/cubic_test.cc', 'quic/congestion_control/fix_rate_test.cc', 'quic/congestion_control/hybrid_slow_start_test.cc', 'quic/congestion_control/inter_arrival_bitrate_ramp_up_test.cc', 'quic/congestion_control/inter_arrival_overuse_detector_test.cc', 'quic/congestion_control/inter_arrival_probe_test.cc', 'quic/congestion_control/inter_arrival_receiver_test.cc', 'quic/congestion_control/inter_arrival_state_machine_test.cc', 'quic/congestion_control/inter_arrival_sender_test.cc', 'quic/congestion_control/leaky_bucket_test.cc', 'quic/congestion_control/paced_sender_test.cc', 'quic/congestion_control/quic_congestion_control_test.cc', 'quic/congestion_control/quic_congestion_manager_test.cc', 'quic/congestion_control/quic_max_sized_map_test.cc', 'quic/congestion_control/tcp_cubic_sender_test.cc', 'quic/congestion_control/tcp_receiver_test.cc', 'quic/crypto/aes_128_gcm_decrypter_test.cc', 'quic/crypto/aes_128_gcm_encrypter_test.cc', 'quic/crypto/crypto_framer_test.cc', 'quic/crypto/crypto_handshake_test.cc', 'quic/crypto/curve25519_key_exchange_test.cc', 'quic/crypto/null_decrypter_test.cc', 'quic/crypto/null_encrypter_test.cc', 'quic/crypto/p256_key_exchange_test.cc', 'quic/crypto/quic_random_test.cc', 'quic/crypto/strike_register_test.cc', 'quic/test_tools/crypto_test_utils.cc', 'quic/test_tools/crypto_test_utils.h', 'quic/test_tools/mock_clock.cc', 'quic/test_tools/mock_clock.h', 'quic/test_tools/mock_crypto_client_stream.cc', 'quic/test_tools/mock_crypto_client_stream.h', 'quic/test_tools/mock_crypto_client_stream_factory.cc', 'quic/test_tools/mock_crypto_client_stream_factory.h', 'quic/test_tools/mock_random.cc', 'quic/test_tools/mock_random.h', 'quic/test_tools/quic_connection_peer.cc', 'quic/test_tools/quic_connection_peer.h', 'quic/test_tools/quic_framer_peer.cc', 'quic/test_tools/quic_framer_peer.h', 'quic/test_tools/quic_packet_creator_peer.cc', 'quic/test_tools/quic_packet_creator_peer.h', 'quic/test_tools/quic_session_peer.cc', 'quic/test_tools/quic_session_peer.h', 'quic/test_tools/quic_test_utils.cc', 'quic/test_tools/quic_test_utils.h', 'quic/test_tools/reliable_quic_stream_peer.cc', 'quic/test_tools/reliable_quic_stream_peer.h', 'quic/test_tools/simple_quic_framer.cc', 'quic/test_tools/simple_quic_framer.h', 'quic/test_tools/test_task_runner.cc', 'quic/test_tools/test_task_runner.h', 'quic/quic_bandwidth_test.cc', 'quic/quic_client_session_test.cc', 'quic/quic_clock_test.cc', 'quic/quic_connection_helper_test.cc', 'quic/quic_connection_test.cc', 'quic/quic_crypto_client_stream_test.cc', 'quic/quic_crypto_server_stream_test.cc', 'quic/quic_crypto_stream_test.cc', 'quic/quic_data_writer_test.cc', 'quic/quic_fec_group_test.cc', 'quic/quic_framer_test.cc', 'quic/quic_http_stream_test.cc', 'quic/quic_network_transaction_unittest.cc', 'quic/quic_packet_creator_test.cc', 'quic/quic_packet_entropy_manager_test.cc', 'quic/quic_packet_generator_test.cc', 'quic/quic_protocol_test.cc', 'quic/quic_reliable_client_stream_test.cc', 'quic/quic_session_test.cc', 'quic/quic_stream_factory_test.cc', 'quic/quic_stream_sequencer_test.cc', 'quic/quic_time_test.cc', 'quic/quic_utils_test.cc', 'quic/reliable_quic_stream_test.cc', 'socket/buffered_write_stream_socket_unittest.cc', 'socket/client_socket_pool_base_unittest.cc', 'socket/deterministic_socket_data_unittest.cc', 'socket/mock_client_socket_pool_manager.cc', 'socket/mock_client_socket_pool_manager.h', 'socket/socks5_client_socket_unittest.cc', 'socket/socks_client_socket_pool_unittest.cc', 'socket/socks_client_socket_unittest.cc', 'socket/ssl_client_socket_openssl_unittest.cc', 'socket/ssl_client_socket_pool_unittest.cc', 'socket/ssl_client_socket_unittest.cc', 'socket/ssl_server_socket_unittest.cc', 'socket/tcp_client_socket_unittest.cc', 'socket/tcp_listen_socket_unittest.cc', 'socket/tcp_listen_socket_unittest.h', 'socket/tcp_server_socket_unittest.cc', 'socket/transport_client_socket_pool_unittest.cc', 'socket/transport_client_socket_unittest.cc', 'socket/unix_domain_socket_posix_unittest.cc', 'socket_stream/socket_stream_metrics_unittest.cc', 'socket_stream/socket_stream_unittest.cc', 'spdy/buffered_spdy_framer_spdy3_unittest.cc', 'spdy/buffered_spdy_framer_spdy2_unittest.cc', 'spdy/spdy_credential_builder_unittest.cc', 'spdy/spdy_credential_state_unittest.cc', 'spdy/spdy_frame_builder_test.cc', 'spdy/spdy_frame_reader_test.cc', 'spdy/spdy_framer_test.cc', 'spdy/spdy_header_block_unittest.cc', 'spdy/spdy_http_stream_spdy3_unittest.cc', 'spdy/spdy_http_stream_spdy2_unittest.cc', 'spdy/spdy_http_utils_unittest.cc', 'spdy/spdy_network_transaction_spdy3_unittest.cc', 'spdy/spdy_network_transaction_spdy2_unittest.cc', 'spdy/spdy_priority_forest_test.cc', 'spdy/spdy_protocol_test.cc', 'spdy/spdy_proxy_client_socket_spdy3_unittest.cc', 'spdy/spdy_proxy_client_socket_spdy2_unittest.cc', 'spdy/spdy_session_spdy3_unittest.cc', 'spdy/spdy_session_spdy2_unittest.cc', 'spdy/spdy_stream_spdy3_unittest.cc', 'spdy/spdy_stream_spdy2_unittest.cc', 'spdy/spdy_stream_test_util.cc', 'spdy/spdy_stream_test_util.h', 'spdy/spdy_test_util_common.cc', 'spdy/spdy_test_util_common.h', 'spdy/spdy_test_util_spdy3.cc', 'spdy/spdy_test_util_spdy3.h', 'spdy/spdy_test_util_spdy2.cc', 'spdy/spdy_test_util_spdy2.h', 'spdy/spdy_test_utils.cc', 'spdy/spdy_test_utils.h', 'spdy/spdy_websocket_stream_spdy2_unittest.cc', 'spdy/spdy_websocket_stream_spdy3_unittest.cc', 'spdy/spdy_websocket_test_util_spdy2.cc', 'spdy/spdy_websocket_test_util_spdy2.h', 'spdy/spdy_websocket_test_util_spdy3.cc', 'spdy/spdy_websocket_test_util_spdy3.h', 'ssl/client_cert_store_impl_unittest.cc', 'ssl/default_server_bound_cert_store_unittest.cc', 'ssl/openssl_client_key_store_unittest.cc', 'ssl/server_bound_cert_service_unittest.cc', 'ssl/ssl_cipher_suite_names_unittest.cc', 'ssl/ssl_client_auth_cache_unittest.cc', 'ssl/ssl_config_service_unittest.cc', 'test/python_utils_unittest.cc', 'test/run_all_unittests.cc', 'test/test_certificate_data.h', 'tools/dump_cache/url_to_filename_encoder.cc', 'tools/dump_cache/url_to_filename_encoder.h', 'tools/dump_cache/url_to_filename_encoder_unittest.cc', 'tools/dump_cache/url_utilities.h', 'tools/dump_cache/url_utilities.cc', 'tools/dump_cache/url_utilities_unittest.cc', 'udp/udp_socket_unittest.cc', 'url_request/url_fetcher_impl_unittest.cc', 'url_request/url_request_context_builder_unittest.cc', 'url_request/url_request_filter_unittest.cc', 'url_request/url_request_ftp_job_unittest.cc', 'url_request/url_request_http_job_unittest.cc', 'url_request/url_request_job_factory_impl_unittest.cc', 'url_request/url_request_job_unittest.cc', 'url_request/url_request_throttler_simulation_unittest.cc', 'url_request/url_request_throttler_test_support.cc', 'url_request/url_request_throttler_test_support.h', 'url_request/url_request_throttler_unittest.cc', 'url_request/url_request_unittest.cc', 'url_request/view_cache_helper_unittest.cc', 'websockets/websocket_errors_unittest.cc', 'websockets/websocket_frame_parser_unittest.cc', 'websockets/websocket_frame_unittest.cc', 'websockets/websocket_handshake_handler_unittest.cc', 'websockets/websocket_handshake_handler_spdy2_unittest.cc', 'websockets/websocket_handshake_handler_spdy3_unittest.cc', 'websockets/websocket_job_spdy2_unittest.cc', 'websockets/websocket_job_spdy3_unittest.cc', 'websockets/websocket_net_log_params_unittest.cc', 'websockets/websocket_throttle_unittest.cc', ], 'conditions': [ ['chromeos==1', { 'sources!': [ 'base/network_change_notifier_linux_unittest.cc', 'proxy/proxy_config_service_linux_unittest.cc', ], }], [ 'OS == "android"', { 'sources!': [ # No res_ninit() et al on Android, so this doesn't make a lot of # sense. 'dns/dns_config_service_posix_unittest.cc', 'ssl/client_cert_store_impl_unittest.cc', ], 'dependencies': [ 'net_javatests', 'net_test_jni_headers', ], }], [ 'use_glib == 1', { 'dependencies': [ '../build/linux/system.gyp:ssl', ], }, { # else use_glib == 0: !posix || mac 'sources!': [ 'cert/nss_cert_database_unittest.cc', ], }, ], [ 'toolkit_uses_gtk == 1', { 'dependencies': [ '../build/linux/system.gyp:gtk', ], }, ], [ 'os_posix == 1 and OS != "mac" and OS != "android" and OS != "ios"', { 'conditions': [ ['linux_use_tcmalloc==1', { 'dependencies': [ '../base/allocator/allocator.gyp:allocator', ], }], ], }], [ 'use_kerberos==1', { 'defines': [ 'USE_KERBEROS', ], }, { # use_kerberos == 0 'sources!': [ 'http/http_auth_gssapi_posix_unittest.cc', 'http/http_auth_handler_negotiate_unittest.cc', 'http/mock_gssapi_library_posix.cc', 'http/mock_gssapi_library_posix.h', ], }], [ 'use_openssl==1', { # When building for OpenSSL, we need to exclude NSS specific tests. # TODO(bulach): Add equivalent tests when the underlying # functionality is ported to OpenSSL. 'sources!': [ 'cert/nss_cert_database_unittest.cc', 'cert/x509_util_nss_unittest.cc', 'ssl/client_cert_store_impl_unittest.cc', ], }, { # else !use_openssl: remove the unneeded files 'sources!': [ 'cert/x509_util_openssl_unittest.cc', 'socket/ssl_client_socket_openssl_unittest.cc', 'ssl/openssl_client_key_store_unittest.cc', ], }, ], [ 'enable_websockets != 1', { 'sources/': [ ['exclude', '^socket_stream/'], ['exclude', '^websockets/'], ['exclude', '^spdy/spdy_websocket_stream_spdy._unittest\\.cc$'], ], }], [ 'disable_ftp_support==1', { 'sources/': [ ['exclude', '^ftp/'], ], 'sources!': [ 'url_request/url_request_ftp_job_unittest.cc', ], }, ], [ 'enable_built_in_dns!=1', { 'sources!': [ 'dns/address_sorter_posix_unittest.cc', 'dns/address_sorter_unittest.cc', ], }, ], [ 'use_v8_in_net==1', { 'dependencies': [ 'net_with_v8', ], }, { # else: !use_v8_in_net 'sources!': [ 'proxy/proxy_resolver_v8_unittest.cc', 'proxy/proxy_resolver_v8_tracing_unittest.cc', ], }, ], [ 'OS == "win"', { 'sources!': [ 'dns/dns_config_service_posix_unittest.cc', 'http/http_auth_gssapi_posix_unittest.cc', ], # This is needed to trigger the dll copy step on windows. # TODO(mark): Specifying this here shouldn't be necessary. 'dependencies': [ '../third_party/icu/icu.gyp:icudata', '../third_party/nss/nss.gyp:nspr', '../third_party/nss/nss.gyp:nss', 'third_party/nss/ssl.gyp:libssl', ], # TODO(jschuh): crbug.com/167187 fix size_t to int truncations. 'msvs_disabled_warnings': [4267, ], }, ], [ 'OS == "mac"', { 'dependencies': [ '../third_party/nss/nss.gyp:nspr', '../third_party/nss/nss.gyp:nss', 'third_party/nss/ssl.gyp:libssl', ], }, ], [ 'OS == "ios"', { 'dependencies': [ '../third_party/nss/nss.gyp:nss', ], 'actions': [ { 'action_name': 'copy_test_data', 'variables': { 'test_data_files': [ 'data/ssl/certificates/', 'data/url_request_unittest/', ], 'test_data_prefix': 'net', }, 'includes': [ '../build/copy_test_data_ios.gypi' ], }, ], 'sources!': [ # TODO(droger): The following tests are disabled because the # implementation is missing or incomplete. # KeygenHandler::GenKeyAndSignChallenge() is not ported to iOS. 'base/keygen_handler_unittest.cc', # Need to read input data files. 'base/gzip_filter_unittest.cc', 'disk_cache/backend_unittest.cc', 'disk_cache/block_files_unittest.cc', 'socket/ssl_server_socket_unittest.cc', # Need TestServer. 'proxy/proxy_script_fetcher_impl_unittest.cc', 'socket/ssl_client_socket_unittest.cc', 'ssl/client_cert_store_impl_unittest.cc', 'url_request/url_fetcher_impl_unittest.cc', 'url_request/url_request_context_builder_unittest.cc', # Needs GetAppOutput(). 'test/python_utils_unittest.cc', # The following tests are disabled because they don't apply to # iOS. # OS is not "linux" or "freebsd" or "openbsd". 'socket/unix_domain_socket_posix_unittest.cc', ], 'conditions': [ ['coverage != 0', { 'sources!': [ # These sources can't be built with coverage due to a # toolchain bug: http://openradar.appspot.com/radar?id=1499403 'http/transport_security_state_unittest.cc', # These tests crash when run with coverage turned on due to an # issue with llvm_gcda_increment_indirect_counter: # http://crbug.com/156058 'cookies/cookie_monster_unittest.cc', 'cookies/cookie_store_unittest.h', 'http/http_auth_controller_unittest.cc', 'http/http_network_layer_unittest.cc', 'http/http_network_transaction_spdy2_unittest.cc', 'http/http_network_transaction_spdy3_unittest.cc', 'spdy/spdy_http_stream_spdy2_unittest.cc', 'spdy/spdy_http_stream_spdy3_unittest.cc', 'spdy/spdy_proxy_client_socket_spdy3_unittest.cc', 'spdy/spdy_session_spdy3_unittest.cc', # These tests crash when run with coverage turned on: # http://crbug.com/177203 'proxy/proxy_service_unittest.cc', ], }], ], }], [ 'OS == "linux"', { 'dependencies': [ '../build/linux/system.gyp:dbus', '../dbus/dbus.gyp:dbus_test_support', ], }, ], [ 'OS == "android"', { 'dependencies': [ '../third_party/openssl/openssl.gyp:openssl', ], 'sources!': [ 'dns/dns_config_service_posix_unittest.cc', ], }, ], ['OS == "android" and gtest_target_type == "shared_library"', { 'dependencies': [ '../testing/android/native_test.gyp:native_test_native_code', ] }], [ 'OS != "win" and OS != "mac"', { 'sources!': [ 'cert/x509_cert_types_unittest.cc', ], }], ], }, { 'target_name': 'net_perftests', 'type': 'executable', 'dependencies': [ '../base/base.gyp:base', '../base/base.gyp:base_i18n', '../base/base.gyp:test_support_perf', '../build/temp_gyp/googleurl.gyp:googleurl', '../testing/gtest.gyp:gtest', 'net', 'net_test_support', ], 'sources': [ 'cookies/cookie_monster_perftest.cc', 'disk_cache/disk_cache_perftest.cc', 'proxy/proxy_resolver_perftest.cc', ], 'conditions': [ [ 'use_v8_in_net==1', { 'dependencies': [ 'net_with_v8', ], }, { # else: !use_v8_in_net 'sources!': [ 'proxy/proxy_resolver_perftest.cc', ], }, ], # This is needed to trigger the dll copy step on windows. # TODO(mark): Specifying this here shouldn't be necessary. [ 'OS == "win"', { 'dependencies': [ '../third_party/icu/icu.gyp:icudata', ], # TODO(jschuh): crbug.com/167187 fix size_t to int truncations. 'msvs_disabled_warnings': [4267, ], }, ], ], }, { 'target_name': 'net_test_support', 'type': 'static_library', 'dependencies': [ '../base/base.gyp:base', '../base/base.gyp:test_support_base', '../build/temp_gyp/googleurl.gyp:googleurl', '../testing/gtest.gyp:gtest', 'net', ], 'export_dependent_settings': [ '../base/base.gyp:base', '../base/base.gyp:test_support_base', '../testing/gtest.gyp:gtest', ], 'sources': [ 'base/capturing_net_log.cc', 'base/capturing_net_log.h', 'base/load_timing_info_test_util.cc', 'base/load_timing_info_test_util.h', 'base/mock_file_stream.cc', 'base/mock_file_stream.h', 'base/test_completion_callback.cc', 'base/test_completion_callback.h', 'base/test_data_directory.cc', 'base/test_data_directory.h', 'cert/mock_cert_verifier.cc', 'cert/mock_cert_verifier.h', 'cookies/cookie_monster_store_test.cc', 'cookies/cookie_monster_store_test.h', 'cookies/cookie_store_test_callbacks.cc', 'cookies/cookie_store_test_callbacks.h', 'cookies/cookie_store_test_helpers.cc', 'cookies/cookie_store_test_helpers.h', 'disk_cache/disk_cache_test_base.cc', 'disk_cache/disk_cache_test_base.h', 'disk_cache/disk_cache_test_util.cc', 'disk_cache/disk_cache_test_util.h', 'disk_cache/flash/flash_cache_test_base.h', 'disk_cache/flash/flash_cache_test_base.cc', 'dns/dns_test_util.cc', 'dns/dns_test_util.h', 'dns/mock_host_resolver.cc', 'dns/mock_host_resolver.h', 'proxy/mock_proxy_resolver.cc', 'proxy/mock_proxy_resolver.h', 'proxy/mock_proxy_script_fetcher.cc', 'proxy/mock_proxy_script_fetcher.h', 'proxy/proxy_config_service_common_unittest.cc', 'proxy/proxy_config_service_common_unittest.h', 'socket/socket_test_util.cc', 'socket/socket_test_util.h', 'test/base_test_server.cc', 'test/base_test_server.h', 'test/cert_test_util.cc', 'test/cert_test_util.h', 'test/local_test_server_posix.cc', 'test/local_test_server_win.cc', 'test/local_test_server.cc', 'test/local_test_server.h', 'test/net_test_suite.cc', 'test/net_test_suite.h', 'test/python_utils.cc', 'test/python_utils.h', 'test/remote_test_server.cc', 'test/remote_test_server.h', 'test/spawner_communicator.cc', 'test/spawner_communicator.h', 'test/test_server.h', 'url_request/test_url_fetcher_factory.cc', 'url_request/test_url_fetcher_factory.h', 'url_request/url_request_test_util.cc', 'url_request/url_request_test_util.h', ], 'conditions': [ ['inside_chromium_build==1 and OS != "ios"', { 'dependencies': [ '../third_party/protobuf/protobuf.gyp:py_proto', ], }], ['os_posix == 1 and OS != "mac" and OS != "android" and OS != "ios"', { 'conditions': [ ['use_openssl==1', { 'dependencies': [ '../third_party/openssl/openssl.gyp:openssl', ], }, { 'dependencies': [ '../build/linux/system.gyp:ssl', ], }], ], }], ['os_posix == 1 and OS != "mac" and OS != "android" and OS != "ios"', { 'conditions': [ ['linux_use_tcmalloc==1', { 'dependencies': [ '../base/allocator/allocator.gyp:allocator', ], }], ], }], ['OS != "android"', { 'sources!': [ 'test/remote_test_server.cc', 'test/remote_test_server.h', 'test/spawner_communicator.cc', 'test/spawner_communicator.h', ], }], ['OS == "ios"', { 'dependencies': [ '../third_party/nss/nss.gyp:nss', ], }], [ 'use_v8_in_net==1', { 'dependencies': [ 'net_with_v8', ], }, ], ], # TODO(jschuh): crbug.com/167187 fix size_t to int truncations. 'msvs_disabled_warnings': [4267, ], }, { 'target_name': 'net_resources', 'type': 'none', 'variables': { 'grit_out_dir': '<(SHARED_INTERMEDIATE_DIR)/net', }, 'actions': [ { 'action_name': 'net_resources', 'variables': { 'grit_grd_file': 'base/net_resources.grd', }, 'includes': [ '../build/grit_action.gypi' ], }, ], 'includes': [ '../build/grit_target.gypi' ], }, { 'target_name': 'http_server', 'type': 'static_library', 'variables': { 'enable_wexit_time_destructors': 1, }, 'dependencies': [ '../base/base.gyp:base', 'net', ], 'sources': [ 'server/http_connection.cc', 'server/http_connection.h', 'server/http_server.cc', 'server/http_server.h', 'server/http_server_request_info.cc', 'server/http_server_request_info.h', 'server/web_socket.cc', 'server/web_socket.h', ], # TODO(jschuh): crbug.com/167187 fix size_t to int truncations. 'msvs_disabled_warnings': [4267, ], }, { 'target_name': 'dump_cache', 'type': 'executable', 'dependencies': [ '../base/base.gyp:base', 'net', 'net_test_support', ], 'sources': [ 'tools/dump_cache/cache_dumper.cc', 'tools/dump_cache/cache_dumper.h', 'tools/dump_cache/dump_cache.cc', 'tools/dump_cache/dump_files.cc', 'tools/dump_cache/dump_files.h', 'tools/dump_cache/simple_cache_dumper.cc', 'tools/dump_cache/simple_cache_dumper.h', 'tools/dump_cache/upgrade_win.cc', 'tools/dump_cache/upgrade_win.h', 'tools/dump_cache/url_to_filename_encoder.cc', 'tools/dump_cache/url_to_filename_encoder.h', 'tools/dump_cache/url_utilities.h', 'tools/dump_cache/url_utilities.cc', ], # TODO(jschuh): crbug.com/167187 fix size_t to int truncations. 'msvs_disabled_warnings': [4267, ], }, ], 'conditions': [ ['use_v8_in_net == 1', { 'targets': [ { 'target_name': 'net_with_v8', 'type': '<(component)', 'variables': { 'enable_wexit_time_destructors': 1, }, 'dependencies': [ '../base/base.gyp:base', '../build/temp_gyp/googleurl.gyp:googleurl', '../v8/tools/gyp/v8.gyp:v8', 'net' ], 'defines': [ 'NET_IMPLEMENTATION', ], 'sources': [ 'proxy/proxy_resolver_v8.cc', 'proxy/proxy_resolver_v8.h', 'proxy/proxy_resolver_v8_tracing.cc', 'proxy/proxy_resolver_v8_tracing.h', 'proxy/proxy_service_v8.cc', 'proxy/proxy_service_v8.h', ], # TODO(jschuh): crbug.com/167187 fix size_t to int truncations. 'msvs_disabled_warnings': [4267, ], }, ], }], ['OS != "ios"', { 'targets': [ # iOS doesn't have the concept of simple executables, these targets # can't be compiled on the platform. { 'target_name': 'crash_cache', 'type': 'executable', 'dependencies': [ '../base/base.gyp:base', 'net', 'net_test_support', ], 'sources': [ 'tools/crash_cache/crash_cache.cc', ], # TODO(jschuh): crbug.com/167187 fix size_t to int truncations. 'msvs_disabled_warnings': [4267, ], }, { 'target_name': 'crl_set_dump', 'type': 'executable', 'dependencies': [ '../base/base.gyp:base', 'net', ], 'sources': [ 'tools/crl_set_dump/crl_set_dump.cc', ], # TODO(jschuh): crbug.com/167187 fix size_t to int truncations. 'msvs_disabled_warnings': [4267, ], }, { 'target_name': 'dns_fuzz_stub', 'type': 'executable', 'dependencies': [ '../base/base.gyp:base', 'net', ], 'sources': [ 'tools/dns_fuzz_stub/dns_fuzz_stub.cc', ], # TODO(jschuh): crbug.com/167187 fix size_t to int truncations. 'msvs_disabled_warnings': [4267, ], }, { 'target_name': 'fetch_client', 'type': 'executable', 'variables': { 'enable_wexit_time_destructors': 1, }, 'dependencies': [ '../base/base.gyp:base', '../base/third_party/dynamic_annotations/dynamic_annotations.gyp:dynamic_annotations', '../build/temp_gyp/googleurl.gyp:googleurl', '../testing/gtest.gyp:gtest', 'net', 'net_with_v8', ], 'sources': [ 'tools/fetch/fetch_client.cc', ], # TODO(jschuh): crbug.com/167187 fix size_t to int truncations. 'msvs_disabled_warnings': [4267, ], }, { 'target_name': 'fetch_server', 'type': 'executable', 'variables': { 'enable_wexit_time_destructors': 1, }, 'dependencies': [ '../base/base.gyp:base', '../build/temp_gyp/googleurl.gyp:googleurl', 'net', ], 'sources': [ 'tools/fetch/fetch_server.cc', 'tools/fetch/http_listen_socket.cc', 'tools/fetch/http_listen_socket.h', 'tools/fetch/http_server.cc', 'tools/fetch/http_server.h', 'tools/fetch/http_server_request_info.cc', 'tools/fetch/http_server_request_info.h', 'tools/fetch/http_server_response_info.cc', 'tools/fetch/http_server_response_info.h', 'tools/fetch/http_session.cc', 'tools/fetch/http_session.h', ], # TODO(jschuh): crbug.com/167187 fix size_t to int truncations. 'msvs_disabled_warnings': [4267, ], }, { 'target_name': 'gdig', 'type': 'executable', 'dependencies': [ '../base/base.gyp:base', 'net', ], 'sources': [ 'tools/gdig/file_net_log.cc', 'tools/gdig/gdig.cc', ], }, { 'target_name': 'get_server_time', 'type': 'executable', 'dependencies': [ '../base/base.gyp:base', '../base/base.gyp:base_i18n', '../build/temp_gyp/googleurl.gyp:googleurl', 'net', ], 'sources': [ 'tools/get_server_time/get_server_time.cc', ], # TODO(jschuh): crbug.com/167187 fix size_t to int truncations. 'msvs_disabled_warnings': [4267, ], }, { 'target_name': 'net_watcher', 'type': 'executable', 'dependencies': [ '../base/base.gyp:base', 'net', 'net_with_v8', ], 'conditions': [ [ 'use_glib == 1', { 'dependencies': [ '../build/linux/system.gyp:gconf', '../build/linux/system.gyp:gio', ], }, ], ], 'sources': [ 'tools/net_watcher/net_watcher.cc', ], }, { 'target_name': 'run_testserver', 'type': 'executable', 'dependencies': [ '../base/base.gyp:base', '../base/base.gyp:test_support_base', '../testing/gtest.gyp:gtest', 'net_test_support', ], 'sources': [ 'tools/testserver/run_testserver.cc', ], }, { 'target_name': 'stress_cache', 'type': 'executable', 'dependencies': [ '../base/base.gyp:base', 'net', 'net_test_support', ], 'sources': [ 'disk_cache/stress_cache.cc', ], # TODO(jschuh): crbug.com/167187 fix size_t to int truncations. 'msvs_disabled_warnings': [4267, ], }, { 'target_name': 'tld_cleanup', 'type': 'executable', 'dependencies': [ '../base/base.gyp:base', '../base/base.gyp:base_i18n', '../build/temp_gyp/googleurl.gyp:googleurl', ], 'sources': [ 'tools/tld_cleanup/tld_cleanup.cc', ], # TODO(jschuh): crbug.com/167187 fix size_t to int truncations. 'msvs_disabled_warnings': [4267, ], }, ], }], ['os_posix == 1 and OS != "mac" and OS != "ios" and OS != "android"', { 'targets': [ { 'target_name': 'flip_balsa_and_epoll_library', 'type': 'static_library', 'dependencies': [ '../base/base.gyp:base', 'net', ], 'sources': [ 'tools/flip_server/balsa_enums.h', 'tools/flip_server/balsa_frame.cc', 'tools/flip_server/balsa_frame.h', 'tools/flip_server/balsa_headers.cc', 'tools/flip_server/balsa_headers.h', 'tools/flip_server/balsa_headers_token_utils.cc', 'tools/flip_server/balsa_headers_token_utils.h', 'tools/flip_server/balsa_visitor_interface.h', 'tools/flip_server/constants.h', 'tools/flip_server/epoll_server.cc', 'tools/flip_server/epoll_server.h', 'tools/flip_server/http_message_constants.cc', 'tools/flip_server/http_message_constants.h', 'tools/flip_server/split.h', 'tools/flip_server/split.cc', ], }, { 'target_name': 'flip_in_mem_edsm_server', 'type': 'executable', 'cflags': [ '-Wno-deprecated', ], 'dependencies': [ '../base/base.gyp:base', '../third_party/openssl/openssl.gyp:openssl', 'flip_balsa_and_epoll_library', 'net', ], 'sources': [ 'tools/dump_cache/url_to_filename_encoder.cc', 'tools/dump_cache/url_to_filename_encoder.h', 'tools/dump_cache/url_utilities.h', 'tools/dump_cache/url_utilities.cc', 'tools/flip_server/acceptor_thread.h', 'tools/flip_server/acceptor_thread.cc', 'tools/flip_server/buffer_interface.h', 'tools/flip_server/create_listener.cc', 'tools/flip_server/create_listener.h', 'tools/flip_server/flip_config.cc', 'tools/flip_server/flip_config.h', 'tools/flip_server/flip_in_mem_edsm_server.cc', 'tools/flip_server/http_interface.cc', 'tools/flip_server/http_interface.h', 'tools/flip_server/loadtime_measurement.h', 'tools/flip_server/mem_cache.h', 'tools/flip_server/mem_cache.cc', 'tools/flip_server/output_ordering.cc', 'tools/flip_server/output_ordering.h', 'tools/flip_server/ring_buffer.cc', 'tools/flip_server/ring_buffer.h', 'tools/flip_server/simple_buffer.cc', 'tools/flip_server/simple_buffer.h', 'tools/flip_server/sm_connection.cc', 'tools/flip_server/sm_connection.h', 'tools/flip_server/sm_interface.h', 'tools/flip_server/spdy_ssl.cc', 'tools/flip_server/spdy_ssl.h', 'tools/flip_server/spdy_interface.cc', 'tools/flip_server/spdy_interface.h', 'tools/flip_server/spdy_util.cc', 'tools/flip_server/spdy_util.h', 'tools/flip_server/streamer_interface.cc', 'tools/flip_server/streamer_interface.h', 'tools/flip_server/string_piece_utils.h', ], }, { 'target_name': 'quic_library', 'type': 'static_library', 'dependencies': [ '../base/base.gyp:base', '../base/third_party/dynamic_annotations/dynamic_annotations.gyp:dynamic_annotations', '../build/temp_gyp/googleurl.gyp:googleurl', '../third_party/openssl/openssl.gyp:openssl', 'flip_balsa_and_epoll_library', 'net', ], 'sources': [ 'tools/quic/quic_client.cc', 'tools/quic/quic_client.h', 'tools/quic/quic_client_session.cc', 'tools/quic/quic_client_session.h', 'tools/quic/quic_dispatcher.h', 'tools/quic/quic_dispatcher.cc', 'tools/quic/quic_epoll_clock.cc', 'tools/quic/quic_epoll_clock.h', 'tools/quic/quic_epoll_connection_helper.cc', 'tools/quic/quic_epoll_connection_helper.h', 'tools/quic/quic_in_memory_cache.cc', 'tools/quic/quic_in_memory_cache.h', 'tools/quic/quic_packet_writer.h', 'tools/quic/quic_reliable_client_stream.cc', 'tools/quic/quic_reliable_client_stream.h', 'tools/quic/quic_reliable_server_stream.cc', 'tools/quic/quic_reliable_server_stream.h', 'tools/quic/quic_server.cc', 'tools/quic/quic_server.h', 'tools/quic/quic_server_session.cc', 'tools/quic/quic_server_session.h', 'tools/quic/quic_socket_utils.cc', 'tools/quic/quic_socket_utils.h', 'tools/quic/quic_spdy_client_stream.cc', 'tools/quic/quic_spdy_client_stream.h', 'tools/quic/quic_spdy_server_stream.cc', 'tools/quic/quic_spdy_server_stream.h', 'tools/quic/quic_time_wait_list_manager.h', 'tools/quic/quic_time_wait_list_manager.cc', 'tools/quic/spdy_utils.cc', 'tools/quic/spdy_utils.h', ], }, { 'target_name': 'quic_client', 'type': 'executable', 'dependencies': [ '../base/base.gyp:base', '../third_party/openssl/openssl.gyp:openssl', 'net', 'quic_library', ], 'sources': [ 'tools/quic/quic_client_bin.cc', ], }, { 'target_name': 'quic_server', 'type': 'executable', 'dependencies': [ '../base/base.gyp:base', '../third_party/openssl/openssl.gyp:openssl', 'net', 'quic_library', ], 'sources': [ 'tools/quic/quic_server_bin.cc', ], }, { 'target_name': 'quic_unittests', 'type': '<(gtest_target_type)', 'dependencies': [ '../base/base.gyp:test_support_base', '../testing/gmock.gyp:gmock', '../testing/gtest.gyp:gtest', 'net', 'quic_library', ], 'sources': [ 'quic/test_tools/quic_session_peer.cc', 'quic/test_tools/quic_session_peer.h', 'quic/test_tools/crypto_test_utils.cc', 'quic/test_tools/crypto_test_utils.h', 'quic/test_tools/mock_clock.cc', 'quic/test_tools/mock_clock.h', 'quic/test_tools/mock_random.cc', 'quic/test_tools/mock_random.h', 'quic/test_tools/simple_quic_framer.cc', 'quic/test_tools/simple_quic_framer.h', 'quic/test_tools/quic_connection_peer.cc', 'quic/test_tools/quic_connection_peer.h', 'quic/test_tools/quic_framer_peer.cc', 'quic/test_tools/quic_framer_peer.h', 'quic/test_tools/quic_session_peer.cc', 'quic/test_tools/quic_session_peer.h', 'quic/test_tools/quic_test_utils.cc', 'quic/test_tools/quic_test_utils.h', 'quic/test_tools/reliable_quic_stream_peer.cc', 'quic/test_tools/reliable_quic_stream_peer.h', 'tools/flip_server/simple_buffer.cc', 'tools/flip_server/simple_buffer.h', 'tools/quic/end_to_end_test.cc', 'tools/quic/quic_client_session_test.cc', 'tools/quic/quic_dispatcher_test.cc', 'tools/quic/quic_epoll_clock_test.cc', 'tools/quic/quic_epoll_connection_helper_test.cc', 'tools/quic/quic_reliable_client_stream_test.cc', 'tools/quic/quic_reliable_server_stream_test.cc', 'tools/quic/test_tools/http_message_test_utils.cc', 'tools/quic/test_tools/http_message_test_utils.h', 'tools/quic/test_tools/mock_epoll_server.cc', 'tools/quic/test_tools/mock_epoll_server.h', 'tools/quic/test_tools/quic_test_client.cc', 'tools/quic/test_tools/quic_test_client.h', 'tools/quic/test_tools/quic_test_utils.cc', 'tools/quic/test_tools/quic_test_utils.h', 'tools/quic/test_tools/run_all_unittests.cc', ], } ] }], ['OS=="android"', { 'targets': [ { 'target_name': 'net_jni_headers', 'type': 'none', 'sources': [ 'android/java/src/org/chromium/net/AndroidKeyStore.java', 'android/java/src/org/chromium/net/AndroidNetworkLibrary.java', 'android/java/src/org/chromium/net/GURLUtils.java', 'android/java/src/org/chromium/net/NetworkChangeNotifier.java', 'android/java/src/org/chromium/net/ProxyChangeListener.java', ], 'variables': { 'jni_gen_package': 'net', }, 'direct_dependent_settings': { 'include_dirs': [ '<(SHARED_INTERMEDIATE_DIR)/net', ], }, 'includes': [ '../build/jni_generator.gypi' ], }, { 'target_name': 'net_test_jni_headers', 'type': 'none', 'sources': [ 'android/javatests/src/org/chromium/net/AndroidKeyStoreTestUtil.java', ], 'variables': { 'jni_gen_package': 'net', }, 'direct_dependent_settings': { 'include_dirs': [ '<(SHARED_INTERMEDIATE_DIR)/net', ], }, 'includes': [ '../build/jni_generator.gypi' ], }, { 'target_name': 'net_java', 'type': 'none', 'variables': { 'java_in_dir': '../net/android/java', }, 'dependencies': [ '../base/base.gyp:base', 'cert_verify_result_android_java', 'certificate_mime_types_java', 'net_errors_java', 'private_key_types_java', ], 'includes': [ '../build/java.gypi' ], }, { 'target_name': 'net_java_test_support', 'type': 'none', 'variables': { 'java_in_dir': '../net/test/android/javatests', }, 'includes': [ '../build/java.gypi' ], }, { 'target_name': 'net_javatests', 'type': 'none', 'variables': { 'java_in_dir': '../net/android/javatests', }, 'dependencies': [ '../base/base.gyp:base', '../base/base.gyp:base_java_test_support', 'net_java', ], 'includes': [ '../build/java.gypi' ], }, { 'target_name': 'net_errors_java', 'type': 'none', 'sources': [ 'android/java/NetError.template', ], 'variables': { 'package_name': 'org/chromium/net', 'template_deps': ['base/net_error_list.h'], }, 'includes': [ '../build/android/java_cpp_template.gypi' ], }, { 'target_name': 'certificate_mime_types_java', 'type': 'none', 'sources': [ 'android/java/CertificateMimeType.template', ], 'variables': { 'package_name': 'org/chromium/net', 'template_deps': ['base/mime_util_certificate_type_list.h'], }, 'includes': [ '../build/android/java_cpp_template.gypi' ], }, { 'target_name': 'cert_verify_result_android_java', 'type': 'none', 'sources': [ 'android/java/CertVerifyResultAndroid.template', ], 'variables': { 'package_name': 'org/chromium/net', 'template_deps': ['android/cert_verify_result_android_list.h'], }, 'includes': [ '../build/android/java_cpp_template.gypi' ], }, { 'target_name': 'private_key_types_java', 'type': 'none', 'sources': [ 'android/java/PrivateKeyType.template', ], 'variables': { 'package_name': 'org/chromium/net', 'template_deps': ['android/private_key_type_list.h'], }, 'includes': [ '../build/android/java_cpp_template.gypi' ], }, ], }], # Special target to wrap a gtest_target_type==shared_library # net_unittests into an android apk for execution. # See base.gyp for TODO(jrg)s about this strategy. ['OS == "android" and gtest_target_type == "shared_library"', { 'targets': [ { 'target_name': 'net_unittests_apk', 'type': 'none', 'dependencies': [ 'net_java', 'net_javatests', 'net_unittests', ], 'variables': { 'test_suite_name': 'net_unittests', 'input_shlib_path': '<(SHARED_LIB_DIR)/<(SHARED_LIB_PREFIX)net_unittests<(SHARED_LIB_SUFFIX)', }, 'includes': [ '../build/apk_test.gypi' ], }, ], }], ['test_isolation_mode != "noop"', { 'targets': [ { 'target_name': 'net_unittests_run', 'type': 'none', 'dependencies': [ 'net_unittests', ], 'includes': [ 'net_unittests.isolate', ], 'actions': [ { 'action_name': 'isolate', 'inputs': [ 'net_unittests.isolate', '<@(isolate_dependency_tracked)', ], 'outputs': [ '<(PRODUCT_DIR)/net_unittests.isolated', ], 'action': [ 'python', '../tools/swarm_client/isolate.py', '<(test_isolation_mode)', '--outdir', '<(test_isolation_outdir)', '--variable', 'PRODUCT_DIR', '<(PRODUCT_DIR)', '--variable', 'OS', '<(OS)', '--result', '<@(_outputs)', '--isolate', 'net_unittests.isolate', ], }, ], }, ], }], ], }

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null

0

1

null

0

1

0

3

71eb4d213edb33b0bf4b80a95a7ac788fefb3194

892

py

Python

char_map.py

rakib313/Bangla-End2End-Speech-Recognition

67e776841bf2bb3f108e94d0567dc707497605ff

[ "MIT" ]

null

char_map.py

rakib313/Bangla-End2End-Speech-Recognition

67e776841bf2bb3f108e94d0567dc707497605ff

[ "MIT" ]

null

char_map.py

rakib313/Bangla-End2End-Speech-Recognition

67e776841bf2bb3f108e94d0567dc707497605ff

[ "MIT" ]

null

""" Defines two dictionaries for converting between text and integer sequences. """ char_map_str = """ ' 0 <SPACE> 1 ব 2 া 3 ং 4 ল 5 দ 6 ে 7 শ 8 য 9 ় 10 ি 11 ত 12 ্ 13 ন 14 এ 15 ধ 16 র 17 ণ 18 ক 19 ড 20 হ 21 উ 22 প 23 জ 24 অ 25 থ 26 স 27 ষ 28 ই 29 আ 30 ছ 31 গ 32 ু 33 ো 34 ও 35 ভ 36 ী 37 ট 38 ূ 39 ম 40 ৈ 41 ৃ 42 ঙ 43 খ 44 ঃ 45 ১ 46 ৯ 47 ৬ 48 ০ 49 ২ 50 চ 51 ঘ 52 ৎ 53 ৫ 54 ৪ 55 ফ 56 ৌ 57 ৮ 58 ঁ 59 য় 60 ৩ 61 ঢ 62 ঠ 63 ৭ 64 ড় 65 ঝ 66 ঞ 67 ঔ 68 ঈ 69 v 70 b 71 s 72 ঐ 73 2 74 0 75 1 76 4 77 f 78 o 79 t 80 a 81 l 82 w 83 r 84 d 85 c 86 u 87 p 88 n 89 g 90 ঋ 91 i 92 z 93 m 94 e 95 ঊ 96 h 97 x 98 3 99 5 100 y 101 9 102 ৗ 103 j 104 œ 105 8 106 ঢ় 107 k 108 ৰ 109 """ # the "blank" character is mapped to 28 char_map = {} index_map = {} for line in char_map_str.strip().split('\n'): ch, index = line.split() char_map[ch] = int(index) index_map[int(index)+1] = ch index_map[2] = ' '

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null

0

1

0

1

0

1

0

null

0

3

71f8c70583f9e40977155faf528bc04d31d42d94

123

py

Python

EX025.py

gjaosdij/PythonProject

ae27990efa93462b632f165d13c08c7fd93beb38

[ "MIT" ]

null

EX025.py

gjaosdij/PythonProject

ae27990efa93462b632f165d13c08c7fd93beb38

[ "MIT" ]

null

EX025.py

gjaosdij/PythonProject

ae27990efa93462b632f165d13c08c7fd93beb38

[ "MIT" ]

null

print('Digite seu nome completo: ') nome = input().strip().upper() print('Seu nome tem "Silva"?') print('SILVA' in nome)

17.571429

35

0.658537

18

123

4.5

0.611111

0.17284

0

0.138211

123

6

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0.422764

0

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null

0

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null

0

1

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3

9c0a5c02779cee26231b6b416177aadae209d132

83

py

Python

torch_geometric/nn/unpool/__init__.py

mwussow/pytorch_geometric

01c68f9b58c94d9efd1f6e39b9c85177aae521bb

[ "MIT" ]

13

2019-11-07T02:57:41.000Z

2021-12-28T08:19:56.000Z

torch_geometric/nn/unpool/__init__.py

mwussow/pytorch_geometric

01c68f9b58c94d9efd1f6e39b9c85177aae521bb

[ "MIT" ]

3

2019-10-30T20:20:27.000Z

2022-03-12T22:56:11.000Z

torch_geometric/nn/unpool/__init__.py

mwussow/pytorch_geometric

01c68f9b58c94d9efd1f6e39b9c85177aae521bb

[ "MIT" ]

3

2020-10-19T02:53:20.000Z

2022-01-31T04:31:02.000Z

from .knn_interpolate import knn_interpolate __all__ = [ 'knn_interpolate', ]

13.833333

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null

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3

9c12bc71f759e734d137bff21cddbea3b1e6369f

90

py

Python

regtests/calling/function_expression.py

bpmbank/PythonJS

591a80afd8233fb715493591db2b68f1748558d9

[ "BSD-3-Clause" ]

319

2015-01-02T11:34:16.000Z

2022-03-25T00:43:33.000Z

regtests/calling/function_expression.py

bpmbank/PythonJS

591a80afd8233fb715493591db2b68f1748558d9

[ "BSD-3-Clause" ]

10

2015-02-03T02:33:09.000Z

2021-11-09T21:41:00.000Z

regtests/calling/function_expression.py

bpmbank/PythonJS

591a80afd8233fb715493591db2b68f1748558d9

[ "BSD-3-Clause" ]

61

2015-01-02T12:01:56.000Z

2021-12-08T07:16:16.000Z

"""func expr""" F = function( x,y ): return x+y def main(): TestError( F(1,2) == 3 )

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null

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1

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null

0

1

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3

9c17deaa4c71e1a4a4c819492abf40341d7c1817

629

py

Python

helpers/time_utils.py

mandalorian-101/badger-system

2b0ee9bd77a2cc6f875b9b984ae4dfe713bbc55c

[ "MIT" ]

null

helpers/time_utils.py

mandalorian-101/badger-system

2b0ee9bd77a2cc6f875b9b984ae4dfe713bbc55c

[ "MIT" ]

null

helpers/time_utils.py

mandalorian-101/badger-system

2b0ee9bd77a2cc6f875b9b984ae4dfe713bbc55c

[ "MIT" ]

null

import datetime ONE_MINUTE = 60 ONE_HOUR = 3600 ONE_DAY = 24 * ONE_HOUR ONE_YEAR = 1 * 365 * ONE_DAY def days(days): return int(days * 86400.0) def hours(hours): return int(hours * 3600.0) def minutes(minutes): return int(minutes * 60.0) def to_utc_date(timestamp): return datetime.datetime.utcfromtimestamp(timestamp).strftime("%Y-%m-%dT%H:%M:%SZ") def to_timestamp(date): print(date.timestamp()) return int(date.timestamp()) def to_minutes(duration): return duration / ONE_MINUTE def to_days(duration): return duration / ONE_DAY def to_hours(duration): return duration / ONE_HOUR

18.5

87

0.702703

95

629

4.494737

0.347368

0.058548

0.154567

0.175644

0

0.05029

0.17806

629

34

88

18.5

0.775629

0

0.028571

0

1

0.363636

false

0

0.045455

0.318182

0.772727

0.045455

0

null

0

1

0

null

0

1

0

1

0

3

9c2757bc39980fb41a4822e37ad9596b865f8c2a

24

py

Python

nima/models/productos/constants.py

erichav/NIMA

6ca845047e2d1764f07af76bfbbed9f1a82bc10f

[ "MIT" ]

null

nima/models/productos/constants.py

erichav/NIMA

6ca845047e2d1764f07af76bfbbed9f1a82bc10f

[ "MIT" ]

null

nima/models/productos/constants.py

erichav/NIMA

6ca845047e2d1764f07af76bfbbed9f1a82bc10f

[ "MIT" ]

1

2018-11-18T03:58:53.000Z

COLLECTION = 'productos'

24

0.791667

2

24

9.5

1

0

0.083333

24

1

24

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0

0.36

0

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false

0

1

0

null

0

1

0

null

0

3

9c2b5cff1157d02c2e830e9f89af05add8167ae9

247,996

py

Python

Python/4 kyu/Snail/test_snail.py

newtonsspawn/codewars_challenges

62b20d4e729c8ba79eac7cae6a179af57abd45d4

[ "MIT" ]

3

2020-05-29T23:29:35.000Z

2021-08-12T03:16:44.000Z

Python/4 kyu/Snail/test_snail.py

newtonsspawn/codewars_challenges

62b20d4e729c8ba79eac7cae6a179af57abd45d4

[ "MIT" ]

null

Python/4 kyu/Snail/test_snail.py

newtonsspawn/codewars_challenges

62b20d4e729c8ba79eac7cae6a179af57abd45d4

[ "MIT" ]

3

2020-05-22T12:14:55.000Z

2021-04-15T12:52:42.000Z

from unittest import TestCase from snail import snail class TestSnail(TestCase): def test_snail_001(self): self.assertEqual(snail([[]]), []) def test_snail_002(self): self.assertEqual(snail([[1]]), [1]) def test_snail_003(self): self.assertEqual(snail([[1, 2, 3], [4, 5, 6], [7, 8, 9]]), [1, 2, 3, 6, 9, 8, 7, 4, 5]) def test_snail_004(self): self.assertEqual(snail( [[1, 2, 3, 4, 5], [6, 7, 8, 9, 10], [11, 12, 13, 14, 15], [16, 17, 18, 19, 20], [21, 22, 23, 24, 25]]), [1, 2, 3, 4, 5, 10, 15, 20, 25, 24, 23, 22, 21, 16, 11, 6, 7, 8, 9, 14, 19, 18, 17, 12, 13]) def test_snail_005(self): self.assertEqual(snail([[1, 2, 3, 4, 5, 6], [20, 21, 22, 23, 24, 7], [19, 32, 33, 34, 25, 8], [18, 31, 36, 35, 26, 9], [17, 30, 29, 28, 27, 10], [16, 15, 14, 13, 12, 11]]), [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36]) def test_snail_006(self): self.assertEqual(snail([[350]]), [350]) def test_snail_007(self): self.assertEqual(snail([[545, 588, 42, 119, 791, 866, 142, 699, 611, 400, 465, 373, 30, 71, 950, 813, 850, 652], [664, 853, 1000, 561, 102, 363, 807, 553, 973, 643, 142, 433, 378, 702, 250, 641, 967, 172], [908, 928, 776, 82, 547, 224, 730, 158, 169, 8, 111, 847, 891, 142, 906, 609, 443, 211], [417, 35, 192, 167, 579, 885, 160, 755, 522, 360, 382, 783, 986, 474, 761, 416, 564, 561], [506, 160, 540, 575, 374, 854, 313, 656, 546, 924, 838, 831, 23, 146, 116, 136, 47, 889], [932, 515, 627, 982, 886, 609, 67, 966, 262, 953, 299, 246, 488, 526, 524, 855, 954, 752], [182, 310, 522, 423, 907, 743, 440, 827, 548, 162, 397, 494, 592, 629, 856, 288, 601, 188], [963, 862, 9, 812, 947, 721, 37, 170, 69, 326, 661, 829, 69, 341, 100, 751, 951, 844], [252, 831, 293, 346, 830, 639, 657, 425, 294, 47, 477, 786, 852, 821, 858, 438, 251, 296], [136, 891, 795, 298, 144, 686, 845, 781, 737, 850, 413, 88, 333, 311, 628, 962, 785, 548], [307, 294, 706, 298, 825, 108, 508, 358, 978, 707, 26, 774, 332, 252, 407, 466, 77, 141], [803, 134, 246, 768, 431, 724, 448, 362, 875, 983, 188, 254, 332, 249, 162, 167, 911, 639], [266, 399, 765, 878, 433, 414, 178, 225, 507, 112, 510, 124, 88, 969, 728, 18, 813, 763], [714, 580, 290, 935, 331, 813, 781, 114, 183, 437, 287, 870, 719, 690, 880, 319, 939, 715], [283, 165, 518, 34, 109, 638, 327, 3, 369, 979, 696, 845, 34, 498, 736, 372, 166, 931], [728, 490, 910, 342, 460, 955, 876, 935, 976, 887, 190, 517, 362, 15, 486, 138, 681, 996], [585, 139, 62, 485, 628, 667, 213, 29, 910, 333, 854, 201, 613, 27, 552, 244, 251, 177], [222, 791, 454, 246, 525, 626, 58, 512, 642, 561, 309, 674, 607, 441, 728, 782, 375, 113]]), [545, 588, 42, 119, 791, 866, 142, 699, 611, 400, 465, 373, 30, 71, 950, 813, 850, 652, 172, 211, 561, 889, 752, 188, 844, 296, 548, 141, 639, 763, 715, 931, 996, 177, 113, 375, 782, 728, 441, 607, 674, 309, 561, 642, 512, 58, 626, 525, 246, 454, 791, 222, 585, 728, 283, 714, 266, 803, 307, 136, 252, 963, 182, 932, 506, 417, 908, 664, 853, 1000, 561, 102, 363, 807, 553, 973, 643, 142, 433, 378, 702, 250, 641, 967, 443, 564, 47, 954, 601, 951, 251, 785, 77, 911, 813, 939, 166, 681, 251, 244, 552, 27, 613, 201, 854, 333, 910, 29, 213, 667, 628, 485, 62, 139, 490, 165, 580, 399, 134, 294, 891, 831, 862, 310, 515, 160, 35, 928, 776, 82, 547, 224, 730, 158, 169, 8, 111, 847, 891, 142, 906, 609, 416, 136, 855, 288, 751, 438, 962, 466, 167, 18, 319, 372, 138, 486, 15, 362, 517, 190, 887, 976, 935, 876, 955, 460, 342, 910, 518, 290, 765, 246, 706, 795, 293, 9, 522, 627, 540, 192, 167, 579, 885, 160, 755, 522, 360, 382, 783, 986, 474, 761, 116, 524, 856, 100, 858, 628, 407, 162, 728, 880, 736, 498, 34, 845, 696, 979, 369, 3, 327, 638, 109, 34, 935, 878, 768, 298, 298, 346, 812, 423, 982, 575, 374, 854, 313, 656, 546, 924, 838, 831, 23, 146, 526, 629, 341, 821, 311, 252, 249, 969, 690, 719, 870, 287, 437, 183, 114, 781, 813, 331, 433, 431, 825, 144, 830, 947, 907, 886, 609, 67, 966, 262, 953, 299, 246, 488, 592, 69, 852, 333, 332, 332, 88, 124, 510, 112, 507, 225, 178, 414, 724, 108, 686, 639, 721, 743, 440, 827, 548, 162, 397, 494, 829, 786, 88, 774, 254, 188, 983, 875, 362, 448, 508, 845, 657, 37, 170, 69, 326, 661, 477, 413, 26, 707, 978, 358, 781, 425, 294, 47, 850, 737]) def test_snail_008(self): self.assertEqual(snail([[844, 865, 787, 987, 255, 928, 812], [533, 376, 869, 60, 824, 527, 355], [238, 330, 215, 201, 335, 29, 225], [828, 63, 172, 620, 315, 361, 758], [14, 964, 210, 530, 997, 568, 288], [855, 152, 486, 856, 360, 545, 564], [549, 259, 544, 508, 793, 934, 567]]), [844, 865, 787, 987, 255, 928, 812, 355, 225, 758, 288, 564, 567, 934, 793, 508, 544, 259, 549, 855, 14, 828, 238, 533, 376, 869, 60, 824, 527, 29, 361, 568, 545, 360, 856, 486, 152, 964, 63, 330, 215, 201, 335, 315, 997, 530, 210, 172, 620]) def test_snail_009(self): self.assertEqual(snail([[277, 149, 76, 473, 385, 633, 41, 517, 918, 462, 769, 726, 161, 694, 26, 717, 309, 484], [822, 156, 851, 683, 303, 638, 818, 714, 303, 509, 353, 557, 51, 592, 663, 475, 725, 40], [40, 155, 345, 977, 600, 812, 851, 559, 152, 256, 965, 586, 591, 966, 146, 868, 262, 931], [855, 170, 534, 89, 73, 910, 741, 195, 4, 547, 916, 887, 912, 610, 815, 619, 508, 196], [600, 735, 378, 713, 511, 639, 703, 269, 326, 650, 223, 993, 760, 894, 430, 705, 896, 814], [444, 223, 939, 289, 624, 837, 541, 975, 608, 446, 787, 963, 647, 660, 827, 544, 894, 634], [643, 836, 653, 921, 77, 574, 411, 242, 52, 242, 411, 827, 875, 617, 653, 180, 85, 390], [592, 287, 28, 699, 663, 170, 548, 812, 792, 68, 376, 733, 147, 475, 803, 513, 815, 515], [366, 76, 557, 607, 661, 516, 434, 136, 41, 551, 670, 662, 248, 205, 485, 509, 59, 833], [394, 608, 437, 669, 92, 194, 441, 444, 68, 269, 512, 104, 121, 176, 422, 278, 953, 69], [187, 714, 933, 50, 576, 276, 594, 283, 258, 268, 95, 111, 353, 139, 342, 274, 141, 69], [588, 50, 105, 400, 470, 733, 51, 342, 193, 6, 909, 690, 697, 215, 612, 27, 629, 861], [784, 253, 98, 563, 118, 138, 610, 486, 602, 779, 153, 478, 956, 107, 460, 850, 447, 21], [690, 48, 219, 72, 384, 261, 474, 383, 632, 868, 922, 826, 651, 612, 684, 339, 418, 743], [955, 462, 403, 996, 131, 70, 485, 523, 407, 932, 100, 688, 240, 970, 98, 681, 356, 609], [376, 795, 982, 482, 813, 496, 635, 618, 728, 96, 982, 884, 362, 168, 470, 919, 672, 921], [327, 201, 195, 628, 731, 453, 778, 719, 751, 115, 429, 675, 983, 281, 389, 396, 876, 484], [867, 449, 958, 381, 640, 749, 216, 358, 226, 155, 568, 795, 584, 220, 900, 207, 12, 440]]), [277, 149, 76, 473, 385, 633, 41, 517, 918, 462, 769, 726, 161, 694, 26, 717, 309, 484, 40, 931, 196, 814, 634, 390, 515, 833, 69, 69, 861, 21, 743, 609, 921, 484, 440, 12, 207, 900, 220, 584, 795, 568, 155, 226, 358, 216, 749, 640, 381, 958, 449, 867, 327, 376, 955, 690, 784, 588, 187, 394, 366, 592, 643, 444, 600, 855, 40, 822, 156, 851, 683, 303, 638, 818, 714, 303, 509, 353, 557, 51, 592, 663, 475, 725, 262, 508, 896, 894, 85, 815, 59, 953, 141, 629, 447, 418, 356, 672, 876, 396, 389, 281, 983, 675, 429, 115, 751, 719, 778, 453, 731, 628, 195, 201, 795, 462, 48, 253, 50, 714, 608, 76, 287, 836, 223, 735, 170, 155, 345, 977, 600, 812, 851, 559, 152, 256, 965, 586, 591, 966, 146, 868, 619, 705, 544, 180, 513, 509, 278, 274, 27, 850, 339, 681, 919, 470, 168, 362, 884, 982, 96, 728, 618, 635, 496, 813, 482, 982, 403, 219, 98, 105, 933, 437, 557, 28, 653, 939, 378, 534, 89, 73, 910, 741, 195, 4, 547, 916, 887, 912, 610, 815, 430, 827, 653, 803, 485, 422, 342, 612, 460, 684, 98, 970, 240, 688, 100, 932, 407, 523, 485, 70, 131, 996, 72, 563, 400, 50, 669, 607, 699, 921, 289, 713, 511, 639, 703, 269, 326, 650, 223, 993, 760, 894, 660, 617, 475, 205, 176, 139, 215, 107, 612, 651, 826, 922, 868, 632, 383, 474, 261, 384, 118, 470, 576, 92, 661, 663, 77, 624, 837, 541, 975, 608, 446, 787, 963, 647, 875, 147, 248, 121, 353, 697, 956, 478, 153, 779, 602, 486, 610, 138, 733, 276, 194, 516, 170, 574, 411, 242, 52, 242, 411, 827, 733, 662, 104, 111, 690, 909, 6, 193, 342, 51, 594, 441, 434, 548, 812, 792, 68, 376, 670, 512, 95, 268, 258, 283, 444, 136, 41, 551, 269, 68]) def test_snail_010(self): self.assertEqual(snail([[831, 609, 235, 391, 645, 469, 352, 982, 96, 596, 79, 460, 438, 280, 390], [639, 19, 257, 411, 862, 508, 652, 265, 609, 188, 443, 425, 584, 11, 329], [616, 731, 442, 315, 530, 954, 306, 455, 808, 921, 604, 282, 695, 778, 711], [205, 735, 423, 803, 480, 736, 47, 13, 478, 960, 268, 844, 611, 102, 489], [271, 314, 134, 650, 634, 984, 925, 565, 67, 651, 139, 697, 735, 616, 83], [124, 381, 202, 355, 488, 99, 269, 486, 900, 601, 449, 777, 607, 702, 504], [259, 357, 104, 126, 784, 649, 30, 243, 716, 436, 917, 272, 629, 864, 131], [333, 402, 81, 766, 352, 14, 227, 796, 572, 623, 176, 196, 870, 5, 822], [469, 67, 286, 430, 711, 336, 78, 384, 71, 783, 832, 458, 940, 511, 160], [783, 286, 352, 679, 233, 493, 549, 83, 137, 498, 450, 214, 856, 925, 585], [360, 663, 80, 307, 411, 97, 42, 857, 865, 954, 30, 778, 691, 880, 898], [354, 373, 818, 619, 465, 957, 268, 876, 19, 58, 163, 138, 283, 970, 267], [773, 79, 892, 808, 810, 35, 147, 377, 502, 400, 742, 345, 35, 120, 859], [933, 643, 548, 241, 817, 661, 936, 837, 571, 596, 177, 296, 531, 836, 805], [915, 268, 534, 369, 791, 90, 843, 104, 293, 92, 270, 306, 226, 797, 903]]), [831, 609, 235, 391, 645, 469, 352, 982, 96, 596, 79, 460, 438, 280, 390, 329, 711, 489, 83, 504, 131, 822, 160, 585, 898, 267, 859, 805, 903, 797, 226, 306, 270, 92, 293, 104, 843, 90, 791, 369, 534, 268, 915, 933, 773, 354, 360, 783, 469, 333, 259, 124, 271, 205, 616, 639, 19, 257, 411, 862, 508, 652, 265, 609, 188, 443, 425, 584, 11, 778, 102, 616, 702, 864, 5, 511, 925, 880, 970, 120, 836, 531, 296, 177, 596, 571, 837, 936, 661, 817, 241, 548, 643, 79, 373, 663, 286, 67, 402, 357, 381, 314, 735, 731, 442, 315, 530, 954, 306, 455, 808, 921, 604, 282, 695, 611, 735, 607, 629, 870, 940, 856, 691, 283, 35, 345, 742, 400, 502, 377, 147, 35, 810, 808, 892, 818, 80, 352, 286, 81, 104, 202, 134, 423, 803, 480, 736, 47, 13, 478, 960, 268, 844, 697, 777, 272, 196, 458, 214, 778, 138, 163, 58, 19, 876, 268, 957, 465, 619, 307, 679, 430, 766, 126, 355, 650, 634, 984, 925, 565, 67, 651, 139, 449, 917, 176, 832, 450, 30, 954, 865, 857, 42, 97, 411, 233, 711, 352, 784, 488, 99, 269, 486, 900, 601, 436, 623, 783, 498, 137, 83, 549, 493, 336, 14, 649, 30, 243, 716, 572, 71, 384, 78, 227, 796]) def test_snail_011(self): self.assertEqual(snail([[900, 61, 525, 325, 420, 389, 718, 967, 116, 156, 877, 301, 815], [325, 921, 851, 66, 226, 759, 166, 754, 972, 199, 26, 673, 81], [953, 211, 277, 170, 498, 206, 11, 766, 742, 101, 661, 674, 501], [613, 645, 897, 883, 24, 499, 408, 404, 93, 464, 815, 546, 830], [103, 374, 494, 259, 597, 463, 83, 658, 867, 321, 311, 942, 265], [279, 214, 989, 896, 644, 152, 130, 439, 917, 664, 293, 835, 469], [114, 212, 935, 146, 589, 399, 128, 61, 242, 1000, 695, 340, 119], [67, 258, 342, 377, 207, 186, 296, 249, 902, 607, 168, 151, 890], [331, 274, 68, 643, 694, 918, 141, 718, 26, 659, 786, 247, 685], [760, 128, 36, 115, 509, 292, 665, 755, 426, 380, 813, 1000, 366], [459, 285, 200, 835, 851, 925, 217, 506, 749, 313, 546, 588, 902], [475, 556, 67, 602, 323, 842, 248, 103, 413, 276, 513, 254, 478], [478, 749, 519, 165, 158, 393, 952, 614, 291, 781, 344, 774, 42]]), [900, 61, 525, 325, 420, 389, 718, 967, 116, 156, 877, 301, 815, 81, 501, 830, 265, 469, 119, 890, 685, 366, 902, 478, 42, 774, 344, 781, 291, 614, 952, 393, 158, 165, 519, 749, 478, 475, 459, 760, 331, 67, 114, 279, 103, 613, 953, 325, 921, 851, 66, 226, 759, 166, 754, 972, 199, 26, 673, 674, 546, 942, 835, 340, 151, 247, 1000, 588, 254, 513, 276, 413, 103, 248, 842, 323, 602, 67, 556, 285, 128, 274, 258, 212, 214, 374, 645, 211, 277, 170, 498, 206, 11, 766, 742, 101, 661, 815, 311, 293, 695, 168, 786, 813, 546, 313, 749, 506, 217, 925, 851, 835, 200, 36, 68, 342, 935, 989, 494, 897, 883, 24, 499, 408, 404, 93, 464, 321, 664, 1000, 607, 659, 380, 426, 755, 665, 292, 509, 115, 643, 377, 146, 896, 259, 597, 463, 83, 658, 867, 917, 242, 902, 26, 718, 141, 918, 694, 207, 589, 644, 152, 130, 439, 61, 249, 296, 186, 399, 128]) def test_snail_012(self): self.assertEqual(snail([[743, 389, 404, 786, 6, 509, 887, 481, 858, 117, 671, 344, 7, 855, 551, 838, 500, 736, 981, 342], [823, 940, 897, 877, 616, 425, 425, 300, 769, 780, 755, 505, 48, 339, 987, 285, 118, 949, 245, 644], [68, 37, 515, 914, 885, 247, 552, 998, 53, 782, 913, 34, 413, 744, 462, 794, 589, 405, 233, 850], [905, 208, 712, 995, 261, 154, 768, 118, 908, 452, 706, 612, 584, 638, 480, 969, 345, 780, 435, 898], [714, 11, 654, 957, 564, 362, 231, 41, 721, 254, 202, 137, 126, 174, 832, 661, 382, 654, 516, 300], [218, 667, 767, 610, 339, 531, 335, 234, 53, 735, 742, 818, 233, 26, 634, 229, 316, 436, 999, 348], [943, 451, 142, 545, 186, 542, 934, 22, 287, 166, 63, 495, 13, 433, 739, 270, 535, 305, 272, 254], [322, 892, 751, 856, 280, 706, 632, 796, 507, 633, 52, 86, 116, 753, 489, 294, 869, 135, 565, 102], [691, 412, 615, 389, 973, 462, 624, 172, 170, 56, 744, 558, 339, 871, 878, 495, 810, 454, 349, 261], [545, 378, 844, 494, 172, 465, 897, 608, 755, 74, 367, 853, 407, 865, 168, 644, 477, 73, 166, 822], [428, 985, 729, 790, 40, 290, 549, 491, 160, 429, 113, 379, 704, 432, 225, 713, 634, 879, 837, 958], [803, 796, 762, 778, 917, 794, 792, 752, 325, 953, 986, 867, 35, 957, 623, 662, 916, 513, 324, 185], [190, 680, 689, 189, 78, 591, 532, 174, 927, 376, 635, 12, 908, 253, 569, 267, 396, 112, 180, 22], [797, 925, 775, 831, 921, 87, 748, 141, 33, 45, 194, 270, 661, 78, 968, 333, 132, 976, 788, 137], [854, 147, 902, 213, 365, 342, 962, 662, 491, 86, 701, 493, 736, 705, 115, 472, 354, 815, 240, 24], [595, 473, 899, 866, 157, 973, 725, 107, 417, 989, 205, 921, 98, 632, 234, 938, 112, 181, 604, 707], [889, 203, 968, 727, 409, 651, 695, 854, 423, 968, 745, 680, 560, 935, 54, 862, 790, 343, 884, 627], [135, 694, 358, 75, 237, 924, 493, 758, 998, 279, 80, 86, 174, 991, 585, 251, 99, 718, 611, 462], [109, 360, 882, 794, 631, 587, 73, 10, 696, 582, 352, 797, 897, 58, 246, 277, 690, 511, 495, 437], [99, 898, 540, 657, 563, 267, 39, 556, 819, 738, 888, 8, 140, 400, 619, 267, 859, 919, 301, 265]]), [743, 389, 404, 786, 6, 509, 887, 481, 858, 117, 671, 344, 7, 855, 551, 838, 500, 736, 981, 342, 644, 850, 898, 300, 348, 254, 102, 261, 822, 958, 185, 22, 137, 24, 707, 627, 462, 437, 265, 301, 919, 859, 267, 619, 400, 140, 8, 888, 738, 819, 556, 39, 267, 563, 657, 540, 898, 99, 109, 135, 889, 595, 854, 797, 190, 803, 428, 545, 691, 322, 943, 218, 714, 905, 68, 823, 940, 897, 877, 616, 425, 425, 300, 769, 780, 755, 505, 48, 339, 987, 285, 118, 949, 245, 233, 435, 516, 999, 272, 565, 349, 166, 837, 324, 180, 788, 240, 604, 884, 611, 495, 511, 690, 277, 246, 58, 897, 797, 352, 582, 696, 10, 73, 587, 631, 794, 882, 360, 694, 203, 473, 147, 925, 680, 796, 985, 378, 412, 892, 451, 667, 11, 208, 37, 515, 914, 885, 247, 552, 998, 53, 782, 913, 34, 413, 744, 462, 794, 589, 405, 780, 654, 436, 305, 135, 454, 73, 879, 513, 112, 976, 815, 181, 343, 718, 99, 251, 585, 991, 174, 86, 80, 279, 998, 758, 493, 924, 237, 75, 358, 968, 899, 902, 775, 689, 762, 729, 844, 615, 751, 142, 767, 654, 712, 995, 261, 154, 768, 118, 908, 452, 706, 612, 584, 638, 480, 969, 345, 382, 316, 535, 869, 810, 477, 634, 916, 396, 132, 354, 112, 790, 862, 54, 935, 560, 680, 745, 968, 423, 854, 695, 651, 409, 727, 866, 213, 831, 189, 778, 790, 494, 389, 856, 545, 610, 957, 564, 362, 231, 41, 721, 254, 202, 137, 126, 174, 832, 661, 229, 270, 294, 495, 644, 713, 662, 267, 333, 472, 938, 234, 632, 98, 921, 205, 989, 417, 107, 725, 973, 157, 365, 921, 78, 917, 40, 172, 973, 280, 186, 339, 531, 335, 234, 53, 735, 742, 818, 233, 26, 634, 739, 489, 878, 168, 225, 623, 569, 968, 115, 705, 736, 493, 701, 86, 491, 662, 962, 342, 87, 591, 794, 290, 465, 462, 706, 542, 934, 22, 287, 166, 63, 495, 13, 433, 753, 871, 865, 432, 957, 253, 78, 661, 270, 194, 45, 33, 141, 748, 532, 792, 549, 897, 624, 632, 796, 507, 633, 52, 86, 116, 339, 407, 704, 35, 908, 12, 635, 376, 927, 174, 752, 491, 608, 172, 170, 56, 744, 558, 853, 379, 867, 986, 953, 325, 160, 755, 74, 367, 113, 429]) def test_snail_013(self): self.assertEqual(snail([[567]]), [567]) def test_snail_014(self): self.assertEqual(snail( [[724, 455, 919, 922, 779, 711, 36, 791, 104, 490, 480], [95, 252, 691, 12, 786, 563, 890, 446, 275, 899, 930], [359, 844, 866, 827, 758, 81, 441, 768, 499, 983, 438], [860, 385, 512, 34, 351, 822, 501, 130, 111, 249, 25], [638, 30, 5, 102, 998, 888, 800, 651, 402, 40, 236], [872, 21, 731, 902, 613, 442, 437, 581, 710, 453, 877], [236, 661, 418, 662, 869, 936, 251, 302, 474, 578, 18], [413, 451, 241, 737, 641, 677, 263, 617, 9, 172, 246], [628, 390, 511, 786, 219, 833, 722, 419, 743, 695, 400], [711, 986, 834, 181, 855, 780, 869, 238, 931, 993, 203], [625, 896, 172, 269, 273, 722, 528, 434, 211, 278, 645]]), [724, 455, 919, 922, 779, 711, 36, 791, 104, 490, 480, 930, 438, 25, 236, 877, 18, 246, 400, 203, 645, 278, 211, 434, 528, 722, 273, 269, 172, 896, 625, 711, 628, 413, 236, 872, 638, 860, 359, 95, 252, 691, 12, 786, 563, 890, 446, 275, 899, 983, 249, 40, 453, 578, 172, 695, 993, 931, 238, 869, 780, 855, 181, 834, 986, 390, 451, 661, 21, 30, 385, 844, 866, 827, 758, 81, 441, 768, 499, 111, 402, 710, 474, 9, 743, 419, 722, 833, 219, 786, 511, 241, 418, 731, 5, 512, 34, 351, 822, 501, 130, 651, 581, 302, 617, 263, 677, 641, 737, 662, 902, 102, 998, 888, 800, 437, 251, 936, 869, 613, 442]) def test_snail_015(self): self.assertEqual(snail([[547, 471, 740, 487, 758, 466, 885, 554, 312, 618, 76, 890, 416, 621, 45, 33, 14], [935, 878, 428, 721, 79, 762, 116, 797, 676, 755, 7, 142, 464, 861, 192, 943, 822], [100, 325, 962, 434, 413, 313, 908, 842, 366, 618, 803, 480, 391, 263, 122, 148, 582], [281, 741, 182, 236, 351, 611, 588, 857, 354, 837, 867, 258, 508, 882, 305, 396, 796], [127, 795, 960, 196, 93, 41, 113, 949, 999, 880, 215, 844, 86, 229, 436, 746, 224], [709, 283, 219, 254, 913, 900, 537, 617, 80, 18, 944, 372, 805, 981, 798, 380, 868], [741, 7, 686, 690, 987, 382, 38, 560, 89, 889, 243, 684, 951, 686, 795, 711, 304], [309, 225, 691, 223, 245, 377, 786, 669, 126, 835, 245, 62, 803, 234, 486, 580, 192], [895, 172, 347, 645, 113, 700, 419, 573, 987, 403, 527, 893, 348, 508, 530, 558, 477], [307, 725, 128, 975, 498, 796, 359, 268, 204, 165, 349, 942, 527, 73, 815, 372, 749], [848, 950, 312, 560, 350, 943, 576, 873, 230, 4, 807, 561, 944, 629, 422, 342, 678], [275, 41, 349, 925, 579, 139, 836, 777, 256, 422, 884, 587, 126, 836, 347, 692, 87], [351, 100, 739, 316, 666, 372, 441, 858, 25, 747, 474, 234, 943, 393, 530, 336, 185], [784, 847, 392, 698, 866, 494, 370, 12, 221, 689, 428, 491, 15, 677, 118, 496, 941], [748, 782, 298, 359, 981, 334, 520, 809, 253, 69, 70, 909, 7, 662, 574, 128, 125], [570, 682, 863, 589, 421, 147, 262, 647, 749, 76, 468, 740, 107, 277, 484, 905, 399], [936, 382, 383, 764, 679, 634, 999, 371, 34, 581, 336, 178, 137, 860, 269, 341, 166]]), [547, 471, 740, 487, 758, 466, 885, 554, 312, 618, 76, 890, 416, 621, 45, 33, 14, 822, 582, 796, 224, 868, 304, 192, 477, 749, 678, 87, 185, 941, 125, 399, 166, 341, 269, 860, 137, 178, 336, 581, 34, 371, 999, 634, 679, 764, 383, 382, 936, 570, 748, 784, 351, 275, 848, 307, 895, 309, 741, 709, 127, 281, 100, 935, 878, 428, 721, 79, 762, 116, 797, 676, 755, 7, 142, 464, 861, 192, 943, 148, 396, 746, 380, 711, 580, 558, 372, 342, 692, 336, 496, 128, 905, 484, 277, 107, 740, 468, 76, 749, 647, 262, 147, 421, 589, 863, 682, 782, 847, 100, 41, 950, 725, 172, 225, 7, 283, 795, 741, 325, 962, 434, 413, 313, 908, 842, 366, 618, 803, 480, 391, 263, 122, 305, 436, 798, 795, 486, 530, 815, 422, 347, 530, 118, 574, 662, 7, 909, 70, 69, 253, 809, 520, 334, 981, 359, 298, 392, 739, 349, 312, 128, 347, 691, 686, 219, 960, 182, 236, 351, 611, 588, 857, 354, 837, 867, 258, 508, 882, 229, 981, 686, 234, 508, 73, 629, 836, 393, 677, 15, 491, 428, 689, 221, 12, 370, 494, 866, 698, 316, 925, 560, 975, 645, 223, 690, 254, 196, 93, 41, 113, 949, 999, 880, 215, 844, 86, 805, 951, 803, 348, 527, 944, 126, 943, 234, 474, 747, 25, 858, 441, 372, 666, 579, 350, 498, 113, 245, 987, 913, 900, 537, 617, 80, 18, 944, 372, 684, 62, 893, 942, 561, 587, 884, 422, 256, 777, 836, 139, 943, 796, 700, 377, 382, 38, 560, 89, 889, 243, 245, 527, 349, 807, 4, 230, 873, 576, 359, 419, 786, 669, 126, 835, 403, 165, 204, 268, 573, 987]) def test_snail_016(self): self.assertEqual(snail([[665, 175], [31, 103]]), [665, 175, 103, 31]) def test_snail_017(self): self.assertEqual(snail([[755]]), [755]) def test_snail_018(self): self.assertEqual(snail([[126]]), [126]) def test_snail_019(self): self.assertEqual(snail([[636, 479, 441, 159, 593, 904, 31, 21, 198], [558, 377, 166, 504, 919, 20, 495, 71, 899], [955, 466, 168, 459, 223, 535, 369, 881, 709], [814, 54, 762, 941, 804, 810, 498, 583, 828], [678, 489, 88, 976, 967, 218, 494, 1000, 550], [501, 310, 668, 403, 558, 697, 247, 393, 990], [346, 220, 92, 707, 460, 106, 187, 606, 447], [589, 900, 867, 818, 647, 180, 878, 809, 191], [278, 820, 427, 859, 985, 594, 218, 851, 286]]), [636, 479, 441, 159, 593, 904, 31, 21, 198, 899, 709, 828, 550, 990, 447, 191, 286, 851, 218, 594, 985, 859, 427, 820, 278, 589, 346, 501, 678, 814, 955, 558, 377, 166, 504, 919, 20, 495, 71, 881, 583, 1000, 393, 606, 809, 878, 180, 647, 818, 867, 900, 220, 310, 489, 54, 466, 168, 459, 223, 535, 369, 498, 494, 247, 187, 106, 460, 707, 92, 668, 88, 762, 941, 804, 810, 218, 697, 558, 403, 976, 967]) def test_snail_020(self): self.assertEqual(snail([[34, 174, 567, 523, 884, 681, 348, 879], [860, 127, 97, 983, 245, 516, 214, 358], [812, 405, 787, 630, 856, 384, 973, 803], [452, 925, 253, 481, 678, 517, 246, 855], [471, 121, 342, 671, 92, 770, 690, 538], [706, 207, 63, 874, 366, 336, 848, 708], [771, 637, 708, 977, 977, 3, 562, 324], [453, 816, 461, 143, 874, 992, 346, 923]]), [34, 174, 567, 523, 884, 681, 348, 879, 358, 803, 855, 538, 708, 324, 923, 346, 992, 874, 143, 461, 816, 453, 771, 706, 471, 452, 812, 860, 127, 97, 983, 245, 516, 214, 973, 246, 690, 848, 562, 3, 977, 977, 708, 637, 207, 121, 925, 405, 787, 630, 856, 384, 517, 770, 336, 366, 874, 63, 342, 253, 481, 678, 92, 671]) def test_snail_021(self): self.assertEqual(snail([[950, 222, 988, 710, 321, 798, 51], [640, 844, 782, 506, 155, 308, 384], [703, 52, 197, 723, 690, 468, 962], [326, 195, 134, 216, 302, 503, 212], [718, 323, 17, 449, 601, 380, 396], [985, 698, 502, 864, 257, 804, 942], [888, 418, 187, 880, 152, 432, 651]]), [950, 222, 988, 710, 321, 798, 51, 384, 962, 212, 396, 942, 651, 432, 152, 880, 187, 418, 888, 985, 718, 326, 703, 640, 844, 782, 506, 155, 308, 468, 503, 380, 804, 257, 864, 502, 698, 323, 195, 52, 197, 723, 690, 302, 601, 449, 17, 134, 216]) def test_snail_022(self): self.assertEqual(snail([[188, 383, 11, 265, 829, 552, 184, 587, 149, 839, 640, 638, 292, 990], [523, 992, 378, 958, 526, 735, 753, 216, 781, 183, 273, 433, 458, 900], [645, 764, 450, 273, 769, 871, 125, 983, 864, 318, 160, 300, 677, 990], [245, 169, 676, 300, 81, 19, 481, 549, 922, 13, 798, 37, 785, 831], [202, 912, 399, 946, 877, 577, 211, 149, 515, 7, 783, 194, 903, 458], [241, 530, 605, 143, 110, 318, 450, 365, 300, 901, 863, 973, 997, 46], [217, 471, 358, 537, 270, 529, 512, 306, 402, 11, 275, 228, 737, 751], [231, 344, 693, 847, 723, 898, 87, 700, 558, 116, 927, 425, 220, 505], [119, 851, 664, 891, 32, 670, 224, 37, 428, 45, 679, 170, 522, 181], [506, 264, 274, 87, 567, 324, 203, 715, 628, 288, 836, 353, 367, 458], [377, 859, 308, 788, 792, 211, 738, 314, 972, 557, 583, 789, 132, 271], [483, 158, 749, 560, 743, 592, 710, 442, 650, 896, 323, 221, 309, 299], [858, 549, 118, 588, 674, 975, 799, 910, 465, 453, 139, 448, 537, 680], [713, 851, 964, 542, 64, 296, 923, 440, 225, 479, 744, 119, 144, 399]]), [188, 383, 11, 265, 829, 552, 184, 587, 149, 839, 640, 638, 292, 990, 900, 990, 831, 458, 46, 751, 505, 181, 458, 271, 299, 680, 399, 144, 119, 744, 479, 225, 440, 923, 296, 64, 542, 964, 851, 713, 858, 483, 377, 506, 119, 231, 217, 241, 202, 245, 645, 523, 992, 378, 958, 526, 735, 753, 216, 781, 183, 273, 433, 458, 677, 785, 903, 997, 737, 220, 522, 367, 132, 309, 537, 448, 139, 453, 465, 910, 799, 975, 674, 588, 118, 549, 158, 859, 264, 851, 344, 471, 530, 912, 169, 764, 450, 273, 769, 871, 125, 983, 864, 318, 160, 300, 37, 194, 973, 228, 425, 170, 353, 789, 221, 323, 896, 650, 442, 710, 592, 743, 560, 749, 308, 274, 664, 693, 358, 605, 399, 676, 300, 81, 19, 481, 549, 922, 13, 798, 783, 863, 275, 927, 679, 836, 583, 557, 972, 314, 738, 211, 792, 788, 87, 891, 847, 537, 143, 946, 877, 577, 211, 149, 515, 7, 901, 11, 116, 45, 288, 628, 715, 203, 324, 567, 32, 723, 270, 110, 318, 450, 365, 300, 402, 558, 428, 37, 224, 670, 898, 529, 512, 306, 700, 87]) def test_snail_023(self): self.assertEqual(snail([[903, 852, 365, 142, 106, 848, 913, 461, 732, 281, 800, 952, 711, 122], [805, 299, 188, 853, 984, 79, 432, 280, 510, 925, 155, 124, 736, 567], [793, 219, 758, 522, 833, 232, 24, 494, 164, 365, 205, 548, 145, 603], [711, 113, 979, 976, 706, 457, 185, 895, 310, 106, 142, 270, 209, 577], [866, 160, 28, 737, 871, 900, 799, 516, 203, 294, 45, 256, 242, 397], [901, 606, 892, 620, 61, 398, 300, 14, 365, 616, 230, 82, 352, 98], [441, 320, 684, 572, 254, 331, 401, 375, 970, 223, 65, 26, 167, 858], [915, 104, 113, 774, 436, 832, 181, 939, 238, 90, 67, 227, 426, 55], [846, 135, 332, 105, 110, 301, 794, 431, 860, 715, 201, 69, 744, 657], [341, 691, 666, 61, 827, 814, 82, 276, 274, 888, 738, 387, 429, 69], [706, 204, 421, 382, 258, 466, 97, 189, 893, 523, 910, 633, 510, 351], [560, 109, 533, 541, 825, 571, 608, 542, 92, 385, 694, 762, 465, 620], [369, 509, 928, 286, 860, 142, 4, 926, 657, 697, 743, 858, 430, 638], [812, 243, 974, 854, 283, 573, 121, 48, 71, 536, 561, 687, 375, 884]]), [903, 852, 365, 142, 106, 848, 913, 461, 732, 281, 800, 952, 711, 122, 567, 603, 577, 397, 98, 858, 55, 657, 69, 351, 620, 638, 884, 375, 687, 561, 536, 71, 48, 121, 573, 283, 854, 974, 243, 812, 369, 560, 706, 341, 846, 915, 441, 901, 866, 711, 793, 805, 299, 188, 853, 984, 79, 432, 280, 510, 925, 155, 124, 736, 145, 209, 242, 352, 167, 426, 744, 429, 510, 465, 430, 858, 743, 697, 657, 926, 4, 142, 860, 286, 928, 509, 109, 204, 691, 135, 104, 320, 606, 160, 113, 219, 758, 522, 833, 232, 24, 494, 164, 365, 205, 548, 270, 256, 82, 26, 227, 69, 387, 633, 762, 694, 385, 92, 542, 608, 571, 825, 541, 533, 421, 666, 332, 113, 684, 892, 28, 979, 976, 706, 457, 185, 895, 310, 106, 142, 45, 230, 65, 67, 201, 738, 910, 523, 893, 189, 97, 466, 258, 382, 61, 105, 774, 572, 620, 737, 871, 900, 799, 516, 203, 294, 616, 223, 90, 715, 888, 274, 276, 82, 814, 827, 110, 436, 254, 61, 398, 300, 14, 365, 970, 238, 860, 431, 794, 301, 832, 331, 401, 375, 939, 181]) def test_snail_024(self): self.assertEqual(snail([[733]]), [733]) def test_snail_025(self): self.assertEqual(snail([[776, 298, 262, 318, 957, 178, 428, 566, 345, 169, 434, 817, 494, 398, 648, 512, 314, 465], [843, 563, 885, 994, 556, 571, 786, 143, 731, 828, 992, 701, 211, 989, 361, 904, 168, 175], [153, 906, 802, 413, 532, 445, 864, 275, 891, 169, 899, 36, 278, 126, 691, 437, 199, 30], [449, 454, 466, 728, 660, 493, 312, 492, 198, 771, 359, 787, 302, 121, 292, 282, 739, 958], [798, 332, 106, 365, 874, 905, 831, 462, 88, 380, 443, 602, 925, 421, 564, 986, 446, 580], [78, 187, 603, 551, 283, 789, 262, 542, 551, 422, 581, 100, 108, 574, 249, 473, 606, 83], [359, 14, 876, 400, 826, 868, 779, 67, 946, 568, 826, 561, 582, 815, 72, 771, 851, 21], [41, 860, 746, 556, 979, 831, 335, 126, 212, 701, 18, 318, 725, 944, 65, 802, 182, 433], [746, 66, 844, 140, 842, 49, 547, 451, 436, 434, 72, 973, 2, 212, 311, 691, 546, 176], [630, 510, 740, 7, 888, 439, 231, 788, 524, 270, 126, 558, 969, 576, 166, 393, 856, 548], [538, 867, 432, 194, 149, 678, 379, 801, 182, 738, 209, 161, 950, 810, 869, 627, 395, 1000], [523, 863, 18, 340, 416, 658, 734, 699, 538, 62, 740, 808, 202, 69, 895, 785, 882, 368], [997, 453, 658, 870, 438, 799, 870, 257, 681, 887, 109, 40, 178, 475, 550, 283, 90, 167], [243, 774, 470, 223, 518, 660, 730, 117, 885, 377, 305, 744, 622, 484, 789, 498, 464, 837], [753, 492, 372, 529, 47, 461, 160, 259, 282, 983, 73, 192, 366, 101, 307, 257, 89, 968], [135, 25, 644, 83, 479, 794, 845, 60, 310, 821, 239, 247, 713, 343, 405, 407, 308, 63], [297, 590, 149, 649, 317, 843, 23, 652, 69, 819, 886, 381, 411, 781, 477, 672, 822, 185], [642, 274, 676, 957, 888, 269, 954, 78, 8, 944, 730, 846, 83, 218, 865, 327, 705, 629]]), [776, 298, 262, 318, 957, 178, 428, 566, 345, 169, 434, 817, 494, 398, 648, 512, 314, 465, 175, 30, 958, 580, 83, 21, 433, 176, 548, 1000, 368, 167, 837, 968, 63, 185, 629, 705, 327, 865, 218, 83, 846, 730, 944, 8, 78, 954, 269, 888, 957, 676, 274, 642, 297, 135, 753, 243, 997, 523, 538, 630, 746, 41, 359, 78, 798, 449, 153, 843, 563, 885, 994, 556, 571, 786, 143, 731, 828, 992, 701, 211, 989, 361, 904, 168, 199, 739, 446, 606, 851, 182, 546, 856, 395, 882, 90, 464, 89, 308, 822, 672, 477, 781, 411, 381, 886, 819, 69, 652, 23, 843, 317, 649, 149, 590, 25, 492, 774, 453, 863, 867, 510, 66, 860, 14, 187, 332, 454, 906, 802, 413, 532, 445, 864, 275, 891, 169, 899, 36, 278, 126, 691, 437, 282, 986, 473, 771, 802, 691, 393, 627, 785, 283, 498, 257, 407, 405, 343, 713, 247, 239, 821, 310, 60, 845, 794, 479, 83, 644, 372, 470, 658, 18, 432, 740, 844, 746, 876, 603, 106, 466, 728, 660, 493, 312, 492, 198, 771, 359, 787, 302, 121, 292, 564, 249, 72, 65, 311, 166, 869, 895, 550, 789, 307, 101, 366, 192, 73, 983, 282, 259, 160, 461, 47, 529, 223, 870, 340, 194, 7, 140, 556, 400, 551, 365, 874, 905, 831, 462, 88, 380, 443, 602, 925, 421, 574, 815, 944, 212, 576, 810, 69, 475, 484, 622, 744, 305, 377, 885, 117, 730, 660, 518, 438, 416, 149, 888, 842, 979, 826, 283, 789, 262, 542, 551, 422, 581, 100, 108, 582, 725, 2, 969, 950, 202, 178, 40, 109, 887, 681, 257, 870, 799, 658, 678, 439, 49, 831, 868, 779, 67, 946, 568, 826, 561, 318, 973, 558, 161, 808, 740, 62, 538, 699, 734, 379, 231, 547, 335, 126, 212, 701, 18, 72, 126, 209, 738, 182, 801, 788, 451, 436, 434, 270, 524]) def test_snail_026(self): self.assertEqual(snail( [[348, 421, 186, 172, 681, 428, 955, 583, 1000, 631, 543], [751, 963, 968, 739, 248, 380, 307, 61, 874, 248, 908], [803, 186, 336, 83, 196, 775, 898, 148, 43, 24, 993], [274, 904, 695, 140, 582, 766, 810, 824, 717, 591, 136], [632, 95, 397, 516, 457, 937, 220, 150, 971, 391, 283], [157, 543, 946, 629, 703, 392, 816, 292, 935, 107, 289], [794, 824, 923, 134, 486, 165, 956, 714, 775, 265, 654], [261, 551, 238, 976, 460, 921, 501, 439, 811, 202, 916], [817, 671, 357, 391, 181, 639, 191, 534, 945, 204, 249], [761, 208, 763, 142, 330, 832, 998, 706, 301, 117, 615], [977, 386, 105, 274, 166, 993, 248, 316, 340, 378, 886]]), [348, 421, 186, 172, 681, 428, 955, 583, 1000, 631, 543, 908, 993, 136, 283, 289, 654, 916, 249, 615, 886, 378, 340, 316, 248, 993, 166, 274, 105, 386, 977, 761, 817, 261, 794, 157, 632, 274, 803, 751, 963, 968, 739, 248, 380, 307, 61, 874, 248, 24, 591, 391, 107, 265, 202, 204, 117, 301, 706, 998, 832, 330, 142, 763, 208, 671, 551, 824, 543, 95, 904, 186, 336, 83, 196, 775, 898, 148, 43, 717, 971, 935, 775, 811, 945, 534, 191, 639, 181, 391, 357, 238, 923, 946, 397, 695, 140, 582, 766, 810, 824, 150, 292, 714, 439, 501, 921, 460, 976, 134, 629, 516, 457, 937, 220, 816, 956, 165, 486, 703, 392]) def test_snail_027(self): self.assertEqual(snail([[279, 149, 635, 162, 437, 751, 73, 382, 918, 994, 660, 832, 818, 312, 381, 306, 375, 87, 245], [54, 599, 406, 599, 951, 888, 231, 723, 287, 692, 617, 275, 719, 445, 361, 954, 583, 951, 162], [966, 522, 282, 502, 739, 889, 323, 635, 486, 477, 231, 502, 471, 524, 566, 189, 91, 694, 768], [164, 463, 961, 850, 665, 898, 53, 331, 507, 69, 164, 99, 435, 418, 104, 868, 998, 186, 161], [138, 179, 498, 106, 803, 338, 361, 631, 370, 805, 156, 583, 102, 486, 989, 468, 772, 491, 656], [450, 129, 723, 662, 665, 9, 227, 23, 222, 199, 111, 556, 897, 4, 81, 665, 108, 906, 457], [442, 235, 249, 838, 26, 861, 927, 55, 260, 9, 140, 495, 478, 544, 693, 849, 727, 448, 421], [812, 736, 968, 113, 205, 680, 936, 699, 733, 830, 760, 301, 891, 701, 530, 34, 234, 764, 136], [191, 591, 992, 189, 987, 162, 784, 566, 788, 983, 584, 919, 410, 408, 225, 778, 200, 854, 852], [424, 5, 610, 711, 796, 952, 899, 192, 643, 399, 953, 720, 406, 324, 706, 943, 139, 87, 668], [412, 431, 428, 777, 880, 971, 931, 966, 281, 510, 63, 1000, 115, 833, 746, 390, 333, 636, 671], [249, 695, 992, 731, 15, 843, 567, 332, 762, 942, 804, 601, 83, 738, 165, 517, 258, 171, 227], [976, 808, 967, 898, 78, 231, 563, 182, 696, 611, 421, 809, 6, 954, 656, 338, 422, 777, 172], [839, 795, 83, 698, 557, 584, 452, 382, 89, 858, 886, 514, 671, 669, 827, 78, 160, 694, 784], [1000, 249, 558, 794, 891, 668, 564, 399, 18, 452, 938, 516, 359, 2, 140, 31, 16, 876, 532], [706, 99, 684, 613, 93, 504, 584, 599, 513, 638, 645, 334, 448, 148, 802, 805, 255, 759, 176], [262, 671, 68, 389, 36, 561, 104, 285, 968, 896, 20, 912, 215, 161, 564, 476, 828, 815, 331], [74, 29, 857, 758, 382, 578, 150, 745, 684, 558, 384, 439, 118, 599, 779, 378, 816, 996, 206], [83, 545, 645, 856, 457, 736, 454, 105, 282, 587, 180, 436, 188, 477, 503, 377, 696, 918, 592]]), [279, 149, 635, 162, 437, 751, 73, 382, 918, 994, 660, 832, 818, 312, 381, 306, 375, 87, 245, 162, 768, 161, 656, 457, 421, 136, 852, 668, 671, 227, 172, 784, 532, 176, 331, 206, 592, 918, 696, 377, 503, 477, 188, 436, 180, 587, 282, 105, 454, 736, 457, 856, 645, 545, 83, 74, 262, 706, 1000, 839, 976, 249, 412, 424, 191, 812, 442, 450, 138, 164, 966, 54, 599, 406, 599, 951, 888, 231, 723, 287, 692, 617, 275, 719, 445, 361, 954, 583, 951, 694, 186, 491, 906, 448, 764, 854, 87, 636, 171, 777, 694, 876, 759, 815, 996, 816, 378, 779, 599, 118, 439, 384, 558, 684, 745, 150, 578, 382, 758, 857, 29, 671, 99, 249, 795, 808, 695, 431, 5, 591, 736, 235, 129, 179, 463, 522, 282, 502, 739, 889, 323, 635, 486, 477, 231, 502, 471, 524, 566, 189, 91, 998, 772, 108, 727, 234, 200, 139, 333, 258, 422, 160, 16, 255, 828, 476, 564, 161, 215, 912, 20, 896, 968, 285, 104, 561, 36, 389, 68, 684, 558, 83, 967, 992, 428, 610, 992, 968, 249, 723, 498, 961, 850, 665, 898, 53, 331, 507, 69, 164, 99, 435, 418, 104, 868, 468, 665, 849, 34, 778, 943, 390, 517, 338, 78, 31, 805, 802, 148, 448, 334, 645, 638, 513, 599, 584, 504, 93, 613, 794, 698, 898, 731, 777, 711, 189, 113, 838, 662, 106, 803, 338, 361, 631, 370, 805, 156, 583, 102, 486, 989, 81, 693, 530, 225, 706, 746, 165, 656, 827, 140, 2, 359, 516, 938, 452, 18, 399, 564, 668, 891, 557, 78, 15, 880, 796, 987, 205, 26, 665, 9, 227, 23, 222, 199, 111, 556, 897, 4, 544, 701, 408, 324, 833, 738, 954, 669, 671, 514, 886, 858, 89, 382, 452, 584, 231, 843, 971, 952, 162, 680, 861, 927, 55, 260, 9, 140, 495, 478, 891, 410, 406, 115, 83, 6, 809, 421, 611, 696, 182, 563, 567, 931, 899, 784, 936, 699, 733, 830, 760, 301, 919, 720, 1000, 601, 804, 942, 762, 332, 966, 192, 566, 788, 983, 584, 953, 63, 510, 281, 643, 399]) def test_snail_028(self): self.assertEqual(snail([[694, 584, 826, 873, 217, 367, 668, 234, 472, 306, 498, 94, 613, 797], [712, 162, 246, 54, 330, 345, 797, 656, 949, 377, 907, 79, 246, 655], [393, 162, 490, 233, 843, 794, 437, 391, 266, 639, 553, 518, 364, 569], [844, 274, 883, 549, 545, 431, 169, 974, 129, 186, 605, 391, 354, 562], [439, 363, 626, 800, 507, 849, 391, 701, 310, 374, 946, 329, 720, 188], [110, 517, 124, 454, 546, 362, 238, 717, 444, 560, 620, 885, 732, 631], [849, 531, 960, 464, 448, 802, 101, 755, 69, 843, 256, 543, 728, 839], [538, 525, 681, 672, 849, 637, 688, 939, 393, 184, 675, 434, 361, 557], [483, 832, 588, 542, 124, 605, 146, 492, 359, 465, 278, 352, 815, 884], [837, 448, 77, 252, 291, 313, 816, 79, 919, 188, 845, 26, 918, 190], [994, 349, 148, 613, 557, 269, 695, 471, 944, 90, 2, 167, 136, 926], [596, 304, 727, 835, 858, 635, 727, 136, 179, 266, 171, 679, 985, 945], [152, 294, 615, 139, 465, 165, 578, 914, 232, 953, 268, 143, 847, 663], [355, 96, 458, 217, 834, 690, 302, 691, 470, 344, 567, 66, 479, 144]]), [694, 584, 826, 873, 217, 367, 668, 234, 472, 306, 498, 94, 613, 797, 655, 569, 562, 188, 631, 839, 557, 884, 190, 926, 945, 663, 144, 479, 66, 567, 344, 470, 691, 302, 690, 834, 217, 458, 96, 355, 152, 596, 994, 837, 483, 538, 849, 110, 439, 844, 393, 712, 162, 246, 54, 330, 345, 797, 656, 949, 377, 907, 79, 246, 364, 354, 720, 732, 728, 361, 815, 918, 136, 985, 847, 143, 268, 953, 232, 914, 578, 165, 465, 139, 615, 294, 304, 349, 448, 832, 525, 531, 517, 363, 274, 162, 490, 233, 843, 794, 437, 391, 266, 639, 553, 518, 391, 329, 885, 543, 434, 352, 26, 167, 679, 171, 266, 179, 136, 727, 635, 858, 835, 727, 148, 77, 588, 681, 960, 124, 626, 883, 549, 545, 431, 169, 974, 129, 186, 605, 946, 620, 256, 675, 278, 845, 2, 90, 944, 471, 695, 269, 557, 613, 252, 542, 672, 464, 454, 800, 507, 849, 391, 701, 310, 374, 560, 843, 184, 465, 188, 919, 79, 816, 313, 291, 124, 849, 448, 546, 362, 238, 717, 444, 69, 393, 359, 492, 146, 605, 637, 802, 101, 755, 939, 688]) def test_snail_029(self): self.assertEqual(snail([[823, 448, 897, 244, 584, 461, 96], [645, 751, 213, 852, 812, 16, 617], [341, 284, 208, 458, 28, 238, 767], [773, 348, 159, 197, 957, 501, 818], [932, 118, 964, 418, 423, 847, 430], [545, 667, 931, 75, 818, 645, 45], [923, 151, 732, 63, 520, 681, 627]]), [823, 448, 897, 244, 584, 461, 96, 617, 767, 818, 430, 45, 627, 681, 520, 63, 732, 151, 923, 545, 932, 773, 341, 645, 751, 213, 852, 812, 16, 238, 501, 847, 645, 818, 75, 931, 667, 118, 348, 284, 208, 458, 28, 957, 423, 418, 964, 159, 197]) def test_snail_030(self): self.assertEqual(snail([[491, 432, 751, 729, 722, 964, 386, 710, 130, 369, 227, 487, 395, 914, 468, 885, 81, 569, 868, 900], [925, 992, 601, 188, 204, 640, 239, 6, 26, 451, 26, 630, 429, 830, 38, 905, 555, 630, 296, 840], [401, 86, 682, 405, 960, 499, 290, 765, 513, 376, 331, 78, 471, 999, 3, 328, 896, 758, 56, 75], [542, 905, 880, 788, 546, 879, 658, 836, 787, 912, 968, 988, 98, 461, 973, 469, 371, 178, 984, 431], [584, 627, 404, 160, 875, 721, 409, 163, 30, 127, 499, 300, 869, 690, 69, 260, 751, 151, 288, 319], [748, 508, 826, 682, 70, 215, 89, 186, 418, 386, 474, 42, 389, 599, 872, 534, 181, 496, 186, 21], [546, 745, 446, 346, 449, 807, 863, 996, 605, 427, 845, 182, 932, 282, 544, 650, 123, 188, 505, 745], [107, 963, 507, 886, 162, 321, 597, 90, 576, 101, 818, 394, 542, 276, 578, 417, 797, 89, 366, 771], [904, 230, 474, 400, 921, 749, 277, 826, 638, 294, 520, 617, 405, 983, 437, 87, 940, 492, 561, 407], [877, 195, 809, 714, 64, 362, 585, 4, 995, 949, 383, 172, 55, 468, 637, 229, 746, 208, 91, 708], [663, 758, 330, 359, 996, 67, 409, 169, 660, 688, 11, 50, 191, 88, 802, 834, 559, 139, 490, 412], [310, 464, 204, 408, 801, 352, 18, 167, 815, 753, 758, 833, 85, 731, 253, 655, 290, 493, 356, 396], [424, 931, 222, 6, 67, 347, 450, 528, 353, 444, 283, 971, 925, 76, 208, 101, 989, 64, 209, 875], [903, 651, 952, 356, 647, 99, 895, 868, 203, 620, 147, 200, 657, 839, 745, 260, 916, 552, 896, 209], [721, 17, 825, 638, 691, 971, 95, 844, 75, 203, 692, 210, 618, 113, 518, 82, 493, 463, 647, 122], [335, 97, 438, 636, 568, 329, 681, 998, 316, 679, 597, 547, 505, 283, 748, 299, 800, 828, 521, 139], [209, 110, 325, 990, 706, 379, 897, 133, 457, 573, 653, 863, 452, 819, 801, 756, 590, 925, 583, 731], [816, 946, 134, 587, 645, 751, 780, 140, 731, 208, 504, 939, 401, 724, 140, 1000, 575, 15, 966, 719], [929, 121, 255, 511, 401, 94, 7, 656, 871, 52, 589, 504, 456, 524, 492, 4, 513, 673, 536, 877], [828, 402, 44, 162, 805, 675, 391, 875, 955, 410, 385, 625, 250, 837, 153, 922, 105, 279, 91, 121]]), [491, 432, 751, 729, 722, 964, 386, 710, 130, 369, 227, 487, 395, 914, 468, 885, 81, 569, 868, 900, 840, 75, 431, 319, 21, 745, 771, 407, 708, 412, 396, 875, 209, 122, 139, 731, 719, 877, 121, 91, 279, 105, 922, 153, 837, 250, 625, 385, 410, 955, 875, 391, 675, 805, 162, 44, 402, 828, 929, 816, 209, 335, 721, 903, 424, 310, 663, 877, 904, 107, 546, 748, 584, 542, 401, 925, 992, 601, 188, 204, 640, 239, 6, 26, 451, 26, 630, 429, 830, 38, 905, 555, 630, 296, 56, 984, 288, 186, 505, 366, 561, 91, 490, 356, 209, 896, 647, 521, 583, 966, 536, 673, 513, 4, 492, 524, 456, 504, 589, 52, 871, 656, 7, 94, 401, 511, 255, 121, 946, 110, 97, 17, 651, 931, 464, 758, 195, 230, 963, 745, 508, 627, 905, 86, 682, 405, 960, 499, 290, 765, 513, 376, 331, 78, 471, 999, 3, 328, 896, 758, 178, 151, 496, 188, 89, 492, 208, 139, 493, 64, 552, 463, 828, 925, 15, 575, 1000, 140, 724, 401, 939, 504, 208, 731, 140, 780, 751, 645, 587, 134, 325, 438, 825, 952, 222, 204, 330, 809, 474, 507, 446, 826, 404, 880, 788, 546, 879, 658, 836, 787, 912, 968, 988, 98, 461, 973, 469, 371, 751, 181, 123, 797, 940, 746, 559, 290, 989, 916, 493, 800, 590, 756, 801, 819, 452, 863, 653, 573, 457, 133, 897, 379, 706, 990, 636, 638, 356, 6, 408, 359, 714, 400, 886, 346, 682, 160, 875, 721, 409, 163, 30, 127, 499, 300, 869, 690, 69, 260, 534, 650, 417, 87, 229, 834, 655, 101, 260, 82, 299, 748, 283, 505, 547, 597, 679, 316, 998, 681, 329, 568, 691, 647, 67, 801, 996, 64, 921, 162, 449, 70, 215, 89, 186, 418, 386, 474, 42, 389, 599, 872, 544, 578, 437, 637, 802, 253, 208, 745, 518, 113, 618, 210, 692, 203, 75, 844, 95, 971, 99, 347, 352, 67, 362, 749, 321, 807, 863, 996, 605, 427, 845, 182, 932, 282, 276, 983, 468, 88, 731, 76, 839, 657, 200, 147, 620, 203, 868, 895, 450, 18, 409, 585, 277, 597, 90, 576, 101, 818, 394, 542, 405, 55, 191, 85, 925, 971, 283, 444, 353, 528, 167, 169, 4, 826, 638, 294, 520, 617, 172, 50, 833, 758, 753, 815, 660, 995, 949, 383, 11, 688]) def test_snail_031(self): self.assertEqual(snail( [[751, 521, 950, 82], [455, 888, 335, 526], [105, 724, 129, 53], [380, 655, 725, 828]]), [751, 521, 950, 82, 526, 53, 828, 725, 655, 380, 105, 455, 888, 335, 129, 724]) def test_snail_032(self): self.assertEqual(snail([[543]]), [543]) def test_snail_033(self): self.assertEqual(snail([[229, 998, 713, 612, 345, 412, 73, 287, 921, 44, 509, 147, 815, 84], [202, 726, 739, 170, 976, 345, 944, 506, 848, 942, 98, 297, 75, 807], [893, 82, 958, 458, 916, 954, 418, 436, 492, 86, 792, 226, 925, 268], [370, 388, 588, 171, 945, 358, 281, 657, 577, 147, 44, 352, 899, 119], [63, 834, 521, 924, 276, 174, 483, 414, 999, 932, 97, 492, 833, 363], [983, 187, 828, 23, 387, 853, 203, 130, 187, 820, 569, 974, 494, 870], [265, 162, 207, 733, 32, 925, 259, 761, 166, 231, 504, 503, 64, 851], [434, 330, 43, 791, 846, 790, 566, 474, 702, 462, 693, 826, 682, 881], [752, 68, 291, 180, 294, 674, 433, 486, 768, 743, 498, 98, 61, 154], [52, 47, 323, 362, 247, 135, 716, 566, 713, 977, 78, 222, 300, 909], [265, 17, 534, 221, 142, 430, 935, 948, 600, 79, 898, 229, 949, 656], [850, 639, 989, 941, 84, 62, 850, 437, 25, 538, 670, 868, 406, 755], [370, 978, 377, 131, 102, 929, 459, 201, 14, 981, 461, 153, 665, 352], [374, 581, 593, 665, 922, 259, 899, 586, 405, 812, 645, 820, 321, 535]]), [229, 998, 713, 612, 345, 412, 73, 287, 921, 44, 509, 147, 815, 84, 807, 268, 119, 363, 870, 851, 881, 154, 909, 656, 755, 352, 535, 321, 820, 645, 812, 405, 586, 899, 259, 922, 665, 593, 581, 374, 370, 850, 265, 52, 752, 434, 265, 983, 63, 370, 893, 202, 726, 739, 170, 976, 345, 944, 506, 848, 942, 98, 297, 75, 925, 899, 833, 494, 64, 682, 61, 300, 949, 406, 665, 153, 461, 981, 14, 201, 459, 929, 102, 131, 377, 978, 639, 17, 47, 68, 330, 162, 187, 834, 388, 82, 958, 458, 916, 954, 418, 436, 492, 86, 792, 226, 352, 492, 974, 503, 826, 98, 222, 229, 868, 670, 538, 25, 437, 850, 62, 84, 941, 989, 534, 323, 291, 43, 207, 828, 521, 588, 171, 945, 358, 281, 657, 577, 147, 44, 97, 569, 504, 693, 498, 78, 898, 79, 600, 948, 935, 430, 142, 221, 362, 180, 791, 733, 23, 924, 276, 174, 483, 414, 999, 932, 820, 231, 462, 743, 977, 713, 566, 716, 135, 247, 294, 846, 32, 387, 853, 203, 130, 187, 166, 702, 768, 486, 433, 674, 790, 925, 259, 761, 474, 566]) def test_snail_034(self): self.assertEqual(snail([[543, 159, 630, 512, 408, 22, 659, 938, 716, 955, 142, 6, 273, 723], [899, 659, 592, 655, 57, 191, 321, 795, 226, 317, 372, 190, 368, 804], [214, 369, 514, 853, 25, 423, 744, 462, 181, 663, 863, 747, 152, 353], [117, 9, 923, 420, 253, 550, 729, 881, 696, 208, 269, 362, 242, 177], [625, 547, 37, 512, 130, 542, 853, 646, 551, 801, 257, 306, 206, 361], [271, 719, 731, 679, 306, 529, 531, 846, 891, 420, 871, 537, 514, 117], [350, 890, 866, 614, 496, 485, 88, 13, 488, 842, 197, 891, 854, 554], [278, 713, 485, 671, 556, 687, 246, 19, 293, 906, 1000, 375, 531, 126], [641, 531, 586, 598, 991, 366, 229, 169, 644, 562, 847, 724, 546, 904], [859, 329, 116, 455, 986, 255, 334, 156, 188, 438, 112, 409, 283, 653], [844, 612, 215, 684, 518, 422, 922, 741, 33, 196, 272, 51, 604, 951], [457, 68, 327, 589, 617, 942, 5, 200, 722, 725, 971, 886, 972, 961], [817, 172, 829, 438, 738, 639, 453, 565, 270, 683, 405, 829, 664, 749], [347, 518, 664, 43, 591, 52, 685, 427, 716, 578, 854, 88, 673, 458]]), [543, 159, 630, 512, 408, 22, 659, 938, 716, 955, 142, 6, 273, 723, 804, 353, 177, 361, 117, 554, 126, 904, 653, 951, 961, 749, 458, 673, 88, 854, 578, 716, 427, 685, 52, 591, 43, 664, 518, 347, 817, 457, 844, 859, 641, 278, 350, 271, 625, 117, 214, 899, 659, 592, 655, 57, 191, 321, 795, 226, 317, 372, 190, 368, 152, 242, 206, 514, 854, 531, 546, 283, 604, 972, 664, 829, 405, 683, 270, 565, 453, 639, 738, 438, 829, 172, 68, 612, 329, 531, 713, 890, 719, 547, 9, 369, 514, 853, 25, 423, 744, 462, 181, 663, 863, 747, 362, 306, 537, 891, 375, 724, 409, 51, 886, 971, 725, 722, 200, 5, 942, 617, 589, 327, 215, 116, 586, 485, 866, 731, 37, 923, 420, 253, 550, 729, 881, 696, 208, 269, 257, 871, 197, 1000, 847, 112, 272, 196, 33, 741, 922, 422, 518, 684, 455, 598, 671, 614, 679, 512, 130, 542, 853, 646, 551, 801, 420, 842, 906, 562, 438, 188, 156, 334, 255, 986, 991, 556, 496, 306, 529, 531, 846, 891, 488, 293, 644, 169, 229, 366, 687, 485, 88, 13, 19, 246]) def test_snail_035(self): self.assertEqual(snail( [[805, 737, 255, 944, 227, 940, 373, 877, 581, 787, 278, 332], [64, 412, 532, 342, 955, 252, 339, 890, 26, 793, 124, 394], [814, 764, 949, 785, 415, 832, 711, 188, 65, 623, 255, 469], [110, 743, 29, 583, 871, 275, 878, 329, 107, 698, 107, 523], [212, 73, 731, 628, 188, 215, 22, 479, 650, 523, 1000, 926], [383, 241, 377, 580, 798, 363, 103, 802, 427, 943, 877, 919], [387, 291, 796, 951, 13, 601, 617, 451, 340, 203, 336, 42], [412, 654, 456, 885, 799, 937, 971, 608, 17, 481, 383, 748], [39, 178, 45, 684, 995, 672, 707, 397, 999, 98, 373, 396], [62, 984, 818, 343, 914, 165, 470, 510, 86, 545, 993, 448], [105, 178, 404, 878, 906, 445, 706, 798, 613, 433, 492, 518], [744, 254, 817, 85, 813, 574, 193, 588, 505, 162, 819, 636]]), [805, 737, 255, 944, 227, 940, 373, 877, 581, 787, 278, 332, 394, 469, 523, 926, 919, 42, 748, 396, 448, 518, 636, 819, 162, 505, 588, 193, 574, 813, 85, 817, 254, 744, 105, 62, 39, 412, 387, 383, 212, 110, 814, 64, 412, 532, 342, 955, 252, 339, 890, 26, 793, 124, 255, 107, 1000, 877, 336, 383, 373, 993, 492, 433, 613, 798, 706, 445, 906, 878, 404, 178, 984, 178, 654, 291, 241, 73, 743, 764, 949, 785, 415, 832, 711, 188, 65, 623, 698, 523, 943, 203, 481, 98, 545, 86, 510, 470, 165, 914, 343, 818, 45, 456, 796, 377, 731, 29, 583, 871, 275, 878, 329, 107, 650, 427, 340, 17, 999, 397, 707, 672, 995, 684, 885, 951, 580, 628, 188, 215, 22, 479, 802, 451, 608, 971, 937, 799, 13, 798, 363, 103, 617, 601]) def test_snail_036(self): self.assertEqual(snail( [[997, 44, 256, 241, 586, 435, 204, 852, 283, 678], [536, 493, 608, 713, 378, 476, 645, 242, 657, 560], [609, 310, 407, 973, 835, 59, 771, 982, 985, 55], [948, 389, 927, 772, 391, 672, 254, 120, 915, 655], [993, 544, 661, 167, 875, 343, 129, 64, 471, 611], [186, 216, 598, 814, 94, 694, 135, 7, 374, 60], [487, 528, 461, 860, 913, 283, 276, 354, 679, 778], [636, 627, 996, 319, 813, 600, 548, 491, 948, 178], [995, 381, 855, 47, 403, 250, 912, 709, 322, 993], [604, 150, 814, 285, 749, 84, 752, 680, 900, 222]]), [997, 44, 256, 241, 586, 435, 204, 852, 283, 678, 560, 55, 655, 611, 60, 778, 178, 993, 222, 900, 680, 752, 84, 749, 285, 814, 150, 604, 995, 636, 487, 186, 993, 948, 609, 536, 493, 608, 713, 378, 476, 645, 242, 657, 985, 915, 471, 374, 679, 948, 322, 709, 912, 250, 403, 47, 855, 381, 627, 528, 216, 544, 389, 310, 407, 973, 835, 59, 771, 982, 120, 64, 7, 354, 491, 548, 600, 813, 319, 996, 461, 598, 661, 927, 772, 391, 672, 254, 129, 135, 276, 283, 913, 860, 814, 167, 875, 343, 694, 94]) def test_snail_037(self): self.assertEqual(snail([[924, 474, 327, 244, 69, 575, 52, 587, 477, 521, 871, 701, 236], [521, 643, 870, 149, 368, 896, 185, 164, 142, 419, 686, 209, 67], [161, 18, 876, 414, 245, 830, 900, 985, 627, 760, 366, 872, 85], [885, 784, 859, 378, 232, 55, 455, 716, 558, 68, 430, 331, 35], [859, 82, 149, 721, 581, 743, 272, 68, 600, 363, 433, 350, 62], [435, 913, 330, 343, 219, 649, 84, 442, 282, 315, 368, 567, 33], [756, 543, 726, 158, 116, 526, 43, 351, 731, 966, 190, 494, 396], [991, 673, 736, 193, 693, 113, 21, 298, 699, 837, 141, 997, 872], [589, 658, 79, 77, 493, 79, 163, 484, 631, 547, 53, 991, 387], [536, 709, 286, 817, 344, 230, 460, 648, 13, 13, 268, 604, 512], [107, 41, 145, 882, 103, 149, 377, 919, 188, 631, 686, 965, 945], [983, 912, 408, 29, 227, 783, 589, 629, 432, 119, 498, 481, 652], [470, 415, 9, 285, 695, 290, 688, 88, 702, 962, 280, 589, 7]]), [924, 474, 327, 244, 69, 575, 52, 587, 477, 521, 871, 701, 236, 67, 85, 35, 62, 33, 396, 872, 387, 512, 945, 652, 7, 589, 280, 962, 702, 88, 688, 290, 695, 285, 9, 415, 470, 983, 107, 536, 589, 991, 756, 435, 859, 885, 161, 521, 643, 870, 149, 368, 896, 185, 164, 142, 419, 686, 209, 872, 331, 350, 567, 494, 997, 991, 604, 965, 481, 498, 119, 432, 629, 589, 783, 227, 29, 408, 912, 41, 709, 658, 673, 543, 913, 82, 784, 18, 876, 414, 245, 830, 900, 985, 627, 760, 366, 430, 433, 368, 190, 141, 53, 268, 686, 631, 188, 919, 377, 149, 103, 882, 145, 286, 79, 736, 726, 330, 149, 859, 378, 232, 55, 455, 716, 558, 68, 363, 315, 966, 837, 547, 13, 13, 648, 460, 230, 344, 817, 77, 193, 158, 343, 721, 581, 743, 272, 68, 600, 282, 731, 699, 631, 484, 163, 79, 493, 693, 116, 219, 649, 84, 442, 351, 298, 21, 113, 526, 43]) def test_snail_038(self): self.assertEqual(snail([[332, 189, 638, 117, 858, 164, 701, 784, 749, 950, 707, 293, 233, 576], [380, 752, 798, 298, 597, 470, 623, 773, 953, 86, 251, 504, 126, 633], [337, 241, 413, 616, 605, 278, 289, 366, 162, 83, 632, 601, 771, 812], [814, 497, 196, 480, 388, 471, 689, 147, 436, 568, 298, 36, 503, 120], [867, 706, 472, 178, 529, 333, 885, 252, 864, 324, 288, 246, 463, 478], [702, 781, 720, 927, 185, 781, 841, 175, 822, 170, 77, 144, 909, 301], [779, 325, 154, 452, 539, 389, 191, 453, 664, 920, 216, 383, 873, 917], [859, 868, 29, 729, 640, 104, 731, 668, 816, 335, 907, 242, 563, 950], [230, 53, 485, 405, 276, 592, 563, 860, 770, 124, 501, 431, 370, 908], [355, 994, 912, 644, 789, 852, 140, 693, 256, 677, 136, 488, 337, 317], [346, 323, 9, 399, 577, 991, 9, 152, 271, 188, 222, 851, 696, 985], [481, 705, 515, 680, 129, 670, 380, 894, 951, 245, 577, 654, 109, 754], [889, 295, 885, 544, 579, 931, 693, 95, 772, 865, 210, 62, 232, 361], [743, 942, 729, 57, 879, 664, 20, 779, 401, 449, 973, 521, 380, 393]]), [332, 189, 638, 117, 858, 164, 701, 784, 749, 950, 707, 293, 233, 576, 633, 812, 120, 478, 301, 917, 950, 908, 317, 985, 754, 361, 393, 380, 521, 973, 449, 401, 779, 20, 664, 879, 57, 729, 942, 743, 889, 481, 346, 355, 230, 859, 779, 702, 867, 814, 337, 380, 752, 798, 298, 597, 470, 623, 773, 953, 86, 251, 504, 126, 771, 503, 463, 909, 873, 563, 370, 337, 696, 109, 232, 62, 210, 865, 772, 95, 693, 931, 579, 544, 885, 295, 705, 323, 994, 53, 868, 325, 781, 706, 497, 241, 413, 616, 605, 278, 289, 366, 162, 83, 632, 601, 36, 246, 144, 383, 242, 431, 488, 851, 654, 577, 245, 951, 894, 380, 670, 129, 680, 515, 9, 912, 485, 29, 154, 720, 472, 196, 480, 388, 471, 689, 147, 436, 568, 298, 288, 77, 216, 907, 501, 136, 222, 188, 271, 152, 9, 991, 577, 399, 644, 405, 729, 452, 927, 178, 529, 333, 885, 252, 864, 324, 170, 920, 335, 124, 677, 256, 693, 140, 852, 789, 276, 640, 539, 185, 781, 841, 175, 822, 664, 816, 770, 860, 563, 592, 104, 389, 191, 453, 668, 731]) def test_snail_039(self): self.assertEqual(snail([[686, 345, 940, 678, 562, 159, 206, 990, 927, 298, 539, 662, 265, 951, 400], [528, 940, 929, 898, 770, 67, 357, 491, 61, 867, 425, 746, 957, 613, 720], [116, 943, 331, 211, 933, 899, 736, 195, 147, 366, 181, 973, 59, 873, 379], [161, 879, 580, 471, 865, 871, 542, 206, 816, 807, 436, 387, 893, 970, 145], [367, 686, 933, 883, 434, 565, 652, 528, 199, 346, 378, 377, 911, 746, 288], [844, 843, 849, 486, 101, 957, 940, 223, 930, 113, 359, 782, 652, 783, 559], [56, 652, 242, 424, 531, 187, 16, 752, 168, 603, 702, 435, 237, 814, 398], [10, 230, 815, 547, 434, 244, 56, 947, 758, 155, 407, 213, 366, 418, 518], [438, 950, 214, 575, 809, 811, 370, 916, 57, 964, 918, 461, 428, 971, 456], [190, 751, 7, 549, 101, 648, 636, 735, 371, 122, 316, 848, 463, 552, 41], [82, 332, 595, 889, 290, 652, 211, 874, 249, 740, 352, 870, 517, 810, 422], [248, 681, 64, 600, 6, 399, 108, 991, 123, 413, 862, 309, 28, 957, 861], [603, 104, 908, 12, 827, 54, 796, 166, 701, 933, 180, 308, 604, 374, 950], [495, 877, 743, 460, 546, 160, 966, 712, 708, 606, 52, 445, 957, 762, 950], [39, 185, 527, 228, 972, 273, 584, 336, 352, 376, 681, 554, 34, 322, 125]]), [686, 345, 940, 678, 562, 159, 206, 990, 927, 298, 539, 662, 265, 951, 400, 720, 379, 145, 288, 559, 398, 518, 456, 41, 422, 861, 950, 950, 125, 322, 34, 554, 681, 376, 352, 336, 584, 273, 972, 228, 527, 185, 39, 495, 603, 248, 82, 190, 438, 10, 56, 844, 367, 161, 116, 528, 940, 929, 898, 770, 67, 357, 491, 61, 867, 425, 746, 957, 613, 873, 970, 746, 783, 814, 418, 971, 552, 810, 957, 374, 762, 957, 445, 52, 606, 708, 712, 966, 160, 546, 460, 743, 877, 104, 681, 332, 751, 950, 230, 652, 843, 686, 879, 943, 331, 211, 933, 899, 736, 195, 147, 366, 181, 973, 59, 893, 911, 652, 237, 366, 428, 463, 517, 28, 604, 308, 180, 933, 701, 166, 796, 54, 827, 12, 908, 64, 595, 7, 214, 815, 242, 849, 933, 580, 471, 865, 871, 542, 206, 816, 807, 436, 387, 377, 782, 435, 213, 461, 848, 870, 309, 862, 413, 123, 991, 108, 399, 6, 600, 889, 549, 575, 547, 424, 486, 883, 434, 565, 652, 528, 199, 346, 378, 359, 702, 407, 918, 316, 352, 740, 249, 874, 211, 652, 290, 101, 809, 434, 531, 101, 957, 940, 223, 930, 113, 603, 155, 964, 122, 371, 735, 636, 648, 811, 244, 187, 16, 752, 168, 758, 57, 916, 370, 56, 947]) def test_snail_040(self): self.assertEqual(snail([[234, 459, 8, 740, 18, 612, 971, 482, 105, 70], [725, 582, 552, 166, 909, 83, 323, 842, 901, 479], [139, 880, 685, 560, 197, 820, 458, 261, 491, 930], [917, 677, 674, 610, 470, 744, 893, 604, 310, 818], [826, 470, 627, 391, 222, 544, 687, 939, 544, 952], [68, 614, 803, 517, 852, 251, 87, 88, 838, 229], [269, 848, 520, 498, 486, 567, 575, 779, 706, 74], [567, 438, 209, 639, 573, 640, 885, 830, 665, 130], [183, 483, 877, 703, 75, 515, 323, 482, 901, 562], [426, 570, 572, 144, 924, 285, 48, 976, 282, 802]]), [234, 459, 8, 740, 18, 612, 971, 482, 105, 70, 479, 930, 818, 952, 229, 74, 130, 562, 802, 282, 976, 48, 285, 924, 144, 572, 570, 426, 183, 567, 269, 68, 826, 917, 139, 725, 582, 552, 166, 909, 83, 323, 842, 901, 491, 310, 544, 838, 706, 665, 901, 482, 323, 515, 75, 703, 877, 483, 438, 848, 614, 470, 677, 880, 685, 560, 197, 820, 458, 261, 604, 939, 88, 779, 830, 885, 640, 573, 639, 209, 520, 803, 627, 674, 610, 470, 744, 893, 687, 87, 575, 567, 486, 498, 517, 391, 222, 544, 251, 852]) def test_snail_041(self): self.assertEqual(snail( [[966, 770, 415, 443, 591], [733, 239, 637, 938, 246], [567, 292, 816, 631, 702], [315, 312, 771, 408, 474], [275, 740, 146, 719, 961]]), [966, 770, 415, 443, 591, 246, 702, 474, 961, 719, 146, 740, 275, 315, 567, 733, 239, 637, 938, 631, 408, 771, 312, 292, 816]) def test_snail_042(self): self.assertEqual(snail([[928, 128, 90, 593, 147, 757, 325, 206, 400, 949, 633, 558, 879], [190, 99, 708, 968, 665, 847, 159, 388, 584, 547, 469, 788, 586], [684, 65, 832, 834, 651, 891, 458, 712, 596, 377, 465, 789, 44], [653, 136, 125, 990, 21, 351, 405, 771, 910, 922, 213, 998, 75], [165, 220, 334, 367, 603, 930, 821, 232, 624, 209, 353, 156, 271], [437, 145, 802, 747, 716, 565, 784, 364, 524, 475, 283, 81, 501], [821, 590, 652, 948, 704, 922, 334, 102, 905, 13, 335, 462, 425], [118, 633, 924, 637, 123, 245, 432, 807, 579, 480, 828, 79, 942], [805, 592, 718, 356, 790, 549, 125, 844, 691, 71, 835, 150, 747], [87, 541, 24, 922, 952, 881, 463, 192, 319, 765, 771, 368, 432], [149, 859, 949, 368, 342, 942, 337, 598, 490, 889, 50, 794, 786], [868, 167, 392, 93, 126, 521, 922, 941, 210, 170, 982, 94, 43], [583, 931, 24, 750, 990, 453, 518, 9, 657, 789, 678, 676, 756]]), [928, 128, 90, 593, 147, 757, 325, 206, 400, 949, 633, 558, 879, 586, 44, 75, 271, 501, 425, 942, 747, 432, 786, 43, 756, 676, 678, 789, 657, 9, 518, 453, 990, 750, 24, 931, 583, 868, 149, 87, 805, 118, 821, 437, 165, 653, 684, 190, 99, 708, 968, 665, 847, 159, 388, 584, 547, 469, 788, 789, 998, 156, 81, 462, 79, 150, 368, 794, 94, 982, 170, 210, 941, 922, 521, 126, 93, 392, 167, 859, 541, 592, 633, 590, 145, 220, 136, 65, 832, 834, 651, 891, 458, 712, 596, 377, 465, 213, 353, 283, 335, 828, 835, 771, 50, 889, 490, 598, 337, 942, 342, 368, 949, 24, 718, 924, 652, 802, 334, 125, 990, 21, 351, 405, 771, 910, 922, 209, 475, 13, 480, 71, 765, 319, 192, 463, 881, 952, 922, 356, 637, 948, 747, 367, 603, 930, 821, 232, 624, 524, 905, 579, 691, 844, 125, 549, 790, 123, 704, 716, 565, 784, 364, 102, 807, 432, 245, 922, 334]) def test_snail_043(self): self.assertEqual(snail( [[87, 462, 110, 33, 41, 613, 234, 971, 424, 490, 399], [489, 50, 350, 304, 182, 24, 614, 707, 935, 678, 706], [363, 94, 140, 854, 757, 467, 369, 903, 629, 342, 144], [838, 301, 145, 18, 841, 484, 374, 723, 136, 333, 757], [316, 713, 514, 19, 847, 337, 830, 358, 313, 138, 270], [869, 803, 76, 126, 424, 80, 383, 117, 180, 519, 534], [663, 709, 774, 866, 180, 59, 780, 653, 290, 958, 920], [931, 926, 174, 65, 301, 51, 255, 19, 439, 910, 474], [229, 84, 159, 158, 470, 597, 842, 83, 794, 285, 20], [248, 938, 591, 246, 529, 506, 869, 146, 600, 738, 931], [391, 267, 55, 182, 281, 344, 431, 338, 792, 443, 687]]), [87, 462, 110, 33, 41, 613, 234, 971, 424, 490, 399, 706, 144, 757, 270, 534, 920, 474, 20, 931, 687, 443, 792, 338, 431, 344, 281, 182, 55, 267, 391, 248, 229, 931, 663, 869, 316, 838, 363, 489, 50, 350, 304, 182, 24, 614, 707, 935, 678, 342, 333, 138, 519, 958, 910, 285, 738, 600, 146, 869, 506, 529, 246, 591, 938, 84, 926, 709, 803, 713, 301, 94, 140, 854, 757, 467, 369, 903, 629, 136, 313, 180, 290, 439, 794, 83, 842, 597, 470, 158, 159, 174, 774, 76, 514, 145, 18, 841, 484, 374, 723, 358, 117, 653, 19, 255, 51, 301, 65, 866, 126, 19, 847, 337, 830, 383, 780, 59, 180, 424, 80]) def test_snail_044(self): self.assertEqual(snail( [[64, 644, 694, 5, 163, 760, 568, 84, 67, 517, 872], [933, 412, 172, 162, 97, 626, 830, 969, 809, 522, 539], [910, 121, 228, 803, 443, 4, 341, 64, 60, 438, 964], [320, 135, 26, 700, 58, 741, 111, 944, 580, 855, 195], [2, 802, 971, 42, 232, 432, 910, 803, 694, 46, 826], [612, 974, 539, 639, 21, 878, 809, 246, 218, 331, 974], [804, 448, 962, 406, 439, 556, 826, 109, 798, 609, 867], [260, 335, 33, 122, 577, 639, 88, 887, 760, 705, 784], [893, 908, 88, 16, 905, 923, 220, 690, 648, 747, 591], [276, 217, 551, 996, 879, 575, 154, 724, 468, 856, 317], [427, 269, 210, 221, 352, 980, 952, 189, 573, 520, 383]]), [64, 644, 694, 5, 163, 760, 568, 84, 67, 517, 872, 539, 964, 195, 826, 974, 867, 784, 591, 317, 383, 520, 573, 189, 952, 980, 352, 221, 210, 269, 427, 276, 893, 260, 804, 612, 2, 320, 910, 933, 412, 172, 162, 97, 626, 830, 969, 809, 522, 438, 855, 46, 331, 609, 705, 747, 856, 468, 724, 154, 575, 879, 996, 551, 217, 908, 335, 448, 974, 802, 135, 121, 228, 803, 443, 4, 341, 64, 60, 580, 694, 218, 798, 760, 648, 690, 220, 923, 905, 16, 88, 33, 962, 539, 971, 26, 700, 58, 741, 111, 944, 803, 246, 109, 887, 88, 639, 577, 122, 406, 639, 42, 232, 432, 910, 809, 826, 556, 439, 21, 878]) def test_snail_045(self): self.assertEqual(snail([[631, 374, 877, 595, 738, 324, 704, 280, 468, 923, 505, 471, 786], [725, 339, 191, 381, 268, 471, 998, 922, 108, 118, 197, 889, 647], [422, 442, 5, 197, 843, 702, 57, 58, 593, 76, 159, 773, 840], [166, 158, 990, 841, 117, 450, 765, 455, 254, 99, 224, 624, 608], [129, 252, 729, 219, 199, 309, 229, 855, 542, 972, 470, 850, 286], [255, 368, 57, 890, 572, 308, 655, 779, 134, 580, 335, 387, 888], [27, 281, 301, 15, 780, 318, 425, 931, 277, 972, 499, 622, 692], [466, 70, 405, 84, 594, 63, 228, 946, 440, 354, 720, 480, 259], [257, 323, 934, 503, 258, 510, 921, 254, 430, 508, 484, 353, 949], [321, 168, 497, 248, 670, 628, 258, 877, 585, 965, 796, 567, 233], [190, 127, 715, 552, 621, 806, 212, 367, 420, 826, 534, 428, 604], [908, 504, 880, 691, 117, 289, 731, 232, 629, 161, 417, 942, 52], [341, 721, 127, 728, 46, 763, 884, 431, 905, 951, 338, 775, 868]]), [631, 374, 877, 595, 738, 324, 704, 280, 468, 923, 505, 471, 786, 647, 840, 608, 286, 888, 692, 259, 949, 233, 604, 52, 868, 775, 338, 951, 905, 431, 884, 763, 46, 728, 127, 721, 341, 908, 190, 321, 257, 466, 27, 255, 129, 166, 422, 725, 339, 191, 381, 268, 471, 998, 922, 108, 118, 197, 889, 773, 624, 850, 387, 622, 480, 353, 567, 428, 942, 417, 161, 629, 232, 731, 289, 117, 691, 880, 504, 127, 168, 323, 70, 281, 368, 252, 158, 442, 5, 197, 843, 702, 57, 58, 593, 76, 159, 224, 470, 335, 499, 720, 484, 796, 534, 826, 420, 367, 212, 806, 621, 552, 715, 497, 934, 405, 301, 57, 729, 990, 841, 117, 450, 765, 455, 254, 99, 972, 580, 972, 354, 508, 965, 585, 877, 258, 628, 670, 248, 503, 84, 15, 890, 219, 199, 309, 229, 855, 542, 134, 277, 440, 430, 254, 921, 510, 258, 594, 780, 572, 308, 655, 779, 931, 946, 228, 63, 318, 425]) def test_snail_046(self): self.assertEqual(snail( [[448, 727, 434, 177, 987], [288, 839, 372, 379, 326], [266, 287, 407, 590, 327], [782, 941, 470, 580, 365], [823, 313, 939, 776, 834]]), [448, 727, 434, 177, 987, 326, 327, 365, 834, 776, 939, 313, 823, 782, 266, 288, 839, 372, 379, 590, 580, 470, 941, 287, 407]) def test_snail_047(self): self.assertEqual(snail([[134, 625, 697, 457, 3, 817, 998, 303, 562, 680, 864, 613, 483, 648, 569, 37], [328, 426, 402, 699, 409, 971, 63, 339, 238, 759, 392, 835, 574, 349, 949, 842], [491, 104, 329, 958, 321, 561, 47, 185, 759, 121, 608, 163, 746, 268, 114, 96], [166, 374, 830, 603, 171, 472, 891, 395, 650, 879, 219, 441, 151, 672, 331, 202], [763, 122, 903, 770, 555, 406, 876, 126, 509, 564, 333, 937, 863, 163, 970, 818], [736, 749, 999, 758, 110, 809, 701, 861, 153, 823, 721, 107, 944, 830, 750, 333], [750, 454, 398, 921, 852, 451, 774, 157, 715, 578, 474, 135, 955, 838, 386, 887], [140, 935, 474, 862, 292, 785, 433, 271, 153, 908, 426, 686, 694, 206, 251, 533], [13, 708, 970, 604, 773, 469, 663, 311, 734, 930, 528, 284, 558, 278, 112, 796], [737, 293, 588, 611, 94, 821, 436, 105, 464, 543, 35, 623, 3, 33, 611, 809], [812, 394, 490, 319, 385, 300, 47, 217, 181, 839, 527, 229, 889, 212, 754, 34], [615, 169, 501, 732, 472, 298, 728, 494, 639, 582, 167, 79, 679, 66, 116, 445], [307, 688, 864, 469, 119, 374, 338, 182, 396, 651, 77, 319, 744, 499, 95, 599], [684, 884, 412, 446, 154, 747, 892, 34, 875, 845, 609, 455, 551, 940, 151, 932], [949, 14, 409, 86, 966, 430, 157, 919, 875, 783, 268, 184, 420, 162, 970, 673], [65, 50, 700, 314, 348, 547, 655, 313, 165, 573, 789, 164, 219, 216, 353, 975]]), [134, 625, 697, 457, 3, 817, 998, 303, 562, 680, 864, 613, 483, 648, 569, 37, 842, 96, 202, 818, 333, 887, 533, 796, 809, 34, 445, 599, 932, 673, 975, 353, 216, 219, 164, 789, 573, 165, 313, 655, 547, 348, 314, 700, 50, 65, 949, 684, 307, 615, 812, 737, 13, 140, 750, 736, 763, 166, 491, 328, 426, 402, 699, 409, 971, 63, 339, 238, 759, 392, 835, 574, 349, 949, 114, 331, 970, 750, 386, 251, 112, 611, 754, 116, 95, 151, 970, 162, 420, 184, 268, 783, 875, 919, 157, 430, 966, 86, 409, 14, 884, 688, 169, 394, 293, 708, 935, 454, 749, 122, 374, 104, 329, 958, 321, 561, 47, 185, 759, 121, 608, 163, 746, 268, 672, 163, 830, 838, 206, 278, 33, 212, 66, 499, 940, 551, 455, 609, 845, 875, 34, 892, 747, 154, 446, 412, 864, 501, 490, 588, 970, 474, 398, 999, 903, 830, 603, 171, 472, 891, 395, 650, 879, 219, 441, 151, 863, 944, 955, 694, 558, 3, 889, 679, 744, 319, 77, 651, 396, 182, 338, 374, 119, 469, 732, 319, 611, 604, 862, 921, 758, 770, 555, 406, 876, 126, 509, 564, 333, 937, 107, 135, 686, 284, 623, 229, 79, 167, 582, 639, 494, 728, 298, 472, 385, 94, 773, 292, 852, 110, 809, 701, 861, 153, 823, 721, 474, 426, 528, 35, 527, 839, 181, 217, 47, 300, 821, 469, 785, 451, 774, 157, 715, 578, 908, 930, 543, 464, 105, 436, 663, 433, 271, 153, 734, 311]) def test_snail_048(self): self.assertEqual(snail( [[148, 131, 809, 558, 988], [226, 872, 217, 699, 709], [326, 703, 976, 559, 826], [749, 582, 891, 321, 58], [773, 142, 687, 234, 325]]), [148, 131, 809, 558, 988, 709, 826, 58, 325, 234, 687, 142, 773, 749, 326, 226, 872, 217, 699, 559, 321, 891, 582, 703, 976]) def test_snail_049(self): self.assertEqual(snail([[705, 149, 326, 506, 792, 406, 65, 525, 996, 158, 592, 282, 643, 696, 31, 520, 757, 275, 276], [395, 704, 227, 598, 163, 173, 844, 171, 882, 571, 228, 161, 943, 43, 278, 3, 680, 719, 746], [871, 369, 979, 617, 840, 771, 315, 81, 751, 543, 799, 516, 452, 899, 115, 102, 262, 234, 751], [667, 55, 885, 708, 943, 586, 330, 992, 663, 19, 180, 786, 89, 208, 486, 706, 742, 854, 883], [103, 917, 812, 629, 301, 326, 783, 757, 747, 217, 464, 220, 562, 390, 45, 883, 755, 278, 96], [58, 584, 52, 378, 774, 536, 631, 392, 592, 219, 897, 685, 895, 23, 749, 884, 417, 365, 463], [664, 410, 795, 818, 377, 952, 133, 43, 696, 342, 423, 412, 93, 337, 963, 722, 730, 824, 748], [274, 831, 339, 463, 30, 408, 981, 958, 816, 799, 771, 659, 368, 494, 854, 878, 811, 16, 433], [55, 449, 296, 203, 66, 988, 124, 753, 17, 600, 108, 79, 710, 973, 4, 847, 137, 725, 579], [180, 356, 532, 283, 330, 882, 65, 248, 621, 572, 310, 119, 394, 624, 463, 326, 872, 983, 335], [125, 938, 860, 228, 485, 110, 914, 335, 985, 788, 16, 492, 118, 658, 83, 673, 310, 463, 128], [896, 593, 150, 280, 186, 824, 408, 2, 842, 388, 750, 674, 634, 221, 435, 728, 183, 685, 119], [478, 785, 827, 612, 727, 240, 864, 732, 557, 136, 936, 280, 12, 953, 210, 158, 70, 762, 97], [209, 645, 785, 915, 570, 703, 602, 696, 480, 206, 360, 662, 900, 39, 967, 709, 439, 5, 933], [441, 925, 978, 564, 488, 326, 796, 781, 197, 696, 81, 630, 144, 317, 215, 987, 154, 30, 142], [112, 745, 428, 350, 952, 650, 589, 463, 204, 57, 648, 273, 336, 497, 280, 697, 991, 997, 700], [731, 537, 58, 463, 528, 662, 243, 565, 934, 490, 476, 244, 23, 859, 237, 545, 623, 6, 478], [54, 910, 609, 160, 253, 282, 264, 395, 951, 466, 832, 888, 589, 309, 698, 27, 242, 647, 506], [954, 699, 371, 224, 674, 22, 408, 24, 461, 574, 344, 658, 634, 902, 534, 85, 9, 177, 809]]), [705, 149, 326, 506, 792, 406, 65, 525, 996, 158, 592, 282, 643, 696, 31, 520, 757, 275, 276, 746, 751, 883, 96, 463, 748, 433, 579, 335, 128, 119, 97, 933, 142, 700, 478, 506, 809, 177, 9, 85, 534, 902, 634, 658, 344, 574, 461, 24, 408, 22, 674, 224, 371, 699, 954, 54, 731, 112, 441, 209, 478, 896, 125, 180, 55, 274, 664, 58, 103, 667, 871, 395, 704, 227, 598, 163, 173, 844, 171, 882, 571, 228, 161, 943, 43, 278, 3, 680, 719, 234, 854, 278, 365, 824, 16, 725, 983, 463, 685, 762, 5, 30, 997, 6, 647, 242, 27, 698, 309, 589, 888, 832, 466, 951, 395, 264, 282, 253, 160, 609, 910, 537, 745, 925, 645, 785, 593, 938, 356, 449, 831, 410, 584, 917, 55, 369, 979, 617, 840, 771, 315, 81, 751, 543, 799, 516, 452, 899, 115, 102, 262, 742, 755, 417, 730, 811, 137, 872, 310, 183, 70, 439, 154, 991, 623, 545, 237, 859, 23, 244, 476, 490, 934, 565, 243, 662, 528, 463, 58, 428, 978, 785, 827, 150, 860, 532, 296, 339, 795, 52, 812, 885, 708, 943, 586, 330, 992, 663, 19, 180, 786, 89, 208, 486, 706, 883, 884, 722, 878, 847, 326, 673, 728, 158, 709, 987, 697, 280, 497, 336, 273, 648, 57, 204, 463, 589, 650, 952, 350, 564, 915, 612, 280, 228, 283, 203, 463, 818, 378, 629, 301, 326, 783, 757, 747, 217, 464, 220, 562, 390, 45, 749, 963, 854, 4, 463, 83, 435, 210, 967, 215, 317, 144, 630, 81, 696, 197, 781, 796, 326, 488, 570, 727, 186, 485, 330, 66, 30, 377, 774, 536, 631, 392, 592, 219, 897, 685, 895, 23, 337, 494, 973, 624, 658, 221, 953, 39, 900, 662, 360, 206, 480, 696, 602, 703, 240, 824, 110, 882, 988, 408, 952, 133, 43, 696, 342, 423, 412, 93, 368, 710, 394, 118, 634, 12, 280, 936, 136, 557, 732, 864, 408, 914, 65, 124, 981, 958, 816, 799, 771, 659, 79, 119, 492, 674, 750, 388, 842, 2, 335, 248, 753, 17, 600, 108, 310, 16, 788, 985, 621, 572]) def test_snail_050(self): self.assertEqual(snail([[772, 352, 920, 451, 295, 883, 38, 33, 562, 598, 383, 190, 999, 918, 657, 173, 310, 243, 749, 460], [868, 561, 653, 879, 805, 379, 61, 961, 64, 493, 854, 923, 284, 452, 702, 792, 656, 695, 771, 962], [575, 398, 964, 954, 690, 209, 562, 164, 793, 976, 475, 330, 814, 655, 710, 811, 570, 20, 373, 610], [799, 80, 212, 607, 883, 605, 697, 849, 982, 661, 68, 1000, 250, 950, 796, 122, 601, 798, 50, 473], [648, 224, 554, 600, 467, 884, 2, 280, 425, 105, 226, 557, 661, 814, 881, 477, 370, 872, 659, 927], [50, 371, 90, 503, 987, 116, 255, 374, 300, 948, 323, 898, 296, 361, 455, 546, 622, 633, 987, 34], [579, 674, 687, 200, 919, 843, 315, 736, 450, 74, 420, 214, 736, 519, 696, 801, 571, 265, 46, 237], [563, 899, 518, 645, 484, 597, 183, 589, 888, 826, 717, 73, 576, 799, 888, 231, 304, 510, 167, 831], [724, 228, 499, 474, 241, 346, 119, 150, 200, 443, 641, 64, 147, 137, 161, 378, 536, 46, 176, 711], [516, 527, 767, 644, 171, 340, 400, 775, 654, 690, 324, 130, 873, 579, 34, 550, 42, 834, 905, 174], [26, 59, 337, 14, 944, 322, 490, 974, 40, 995, 912, 636, 919, 123, 190, 482, 123, 182, 178, 289], [730, 222, 970, 185, 610, 987, 177, 447, 885, 117, 172, 22, 795, 119, 487, 673, 245, 819, 515, 318], [962, 540, 368, 132, 532, 594, 446, 193, 252, 326, 872, 981, 622, 416, 624, 320, 71, 891, 65, 983], [566, 302, 822, 651, 557, 542, 962, 668, 813, 564, 474, 351, 757, 454, 748, 63, 925, 612, 389, 297], [946, 119, 214, 810, 762, 218, 502, 3, 429, 607, 197, 465, 126, 778, 887, 847, 487, 519, 304, 84], [442, 477, 56, 239, 116, 18, 277, 482, 595, 442, 203, 989, 474, 240, 792, 795, 57, 710, 537, 814], [53, 528, 760, 968, 553, 920, 449, 642, 913, 164, 142, 430, 374, 756, 484, 778, 935, 732, 652, 532], [372, 903, 178, 880, 456, 257, 221, 977, 746, 807, 729, 207, 281, 9, 208, 994, 701, 260, 811, 925], [377, 548, 971, 375, 954, 496, 764, 731, 346, 439, 38, 33, 65, 533, 830, 448, 465, 934, 44, 687], [213, 763, 43, 223, 196, 717, 119, 184, 247, 740, 909, 305, 646, 450, 666, 173, 25, 546, 108, 783]]), [772, 352, 920, 451, 295, 883, 38, 33, 562, 598, 383, 190, 999, 918, 657, 173, 310, 243, 749, 460, 962, 610, 473, 927, 34, 237, 831, 711, 174, 289, 318, 983, 297, 84, 814, 532, 925, 687, 783, 108, 546, 25, 173, 666, 450, 646, 305, 909, 740, 247, 184, 119, 717, 196, 223, 43, 763, 213, 377, 372, 53, 442, 946, 566, 962, 730, 26, 516, 724, 563, 579, 50, 648, 799, 575, 868, 561, 653, 879, 805, 379, 61, 961, 64, 493, 854, 923, 284, 452, 702, 792, 656, 695, 771, 373, 50, 659, 987, 46, 167, 176, 905, 178, 515, 65, 389, 304, 537, 652, 811, 44, 934, 465, 448, 830, 533, 65, 33, 38, 439, 346, 731, 764, 496, 954, 375, 971, 548, 903, 528, 477, 119, 302, 540, 222, 59, 527, 228, 899, 674, 371, 224, 80, 398, 964, 954, 690, 209, 562, 164, 793, 976, 475, 330, 814, 655, 710, 811, 570, 20, 798, 872, 633, 265, 510, 46, 834, 182, 819, 891, 612, 519, 710, 732, 260, 701, 994, 208, 9, 281, 207, 729, 807, 746, 977, 221, 257, 456, 880, 178, 760, 56, 214, 822, 368, 970, 337, 767, 499, 518, 687, 90, 554, 212, 607, 883, 605, 697, 849, 982, 661, 68, 1000, 250, 950, 796, 122, 601, 370, 622, 571, 304, 536, 42, 123, 245, 71, 925, 487, 57, 935, 778, 484, 756, 374, 430, 142, 164, 913, 642, 449, 920, 553, 968, 239, 810, 651, 132, 185, 14, 644, 474, 645, 200, 503, 600, 467, 884, 2, 280, 425, 105, 226, 557, 661, 814, 881, 477, 546, 801, 231, 378, 550, 482, 673, 320, 63, 847, 795, 792, 240, 474, 989, 203, 442, 595, 482, 277, 18, 116, 762, 557, 532, 610, 944, 171, 241, 484, 919, 987, 116, 255, 374, 300, 948, 323, 898, 296, 361, 455, 696, 888, 161, 34, 190, 487, 624, 748, 887, 778, 126, 465, 197, 607, 429, 3, 502, 218, 542, 594, 987, 322, 340, 346, 597, 843, 315, 736, 450, 74, 420, 214, 736, 519, 799, 137, 579, 123, 119, 416, 454, 757, 351, 474, 564, 813, 668, 962, 446, 177, 490, 400, 119, 183, 589, 888, 826, 717, 73, 576, 147, 873, 919, 795, 622, 981, 872, 326, 252, 193, 447, 974, 775, 150, 200, 443, 641, 64, 130, 636, 22, 172, 117, 885, 40, 654, 690, 324, 912, 995]) def test_snail_051(self): self.assertEqual(snail([[697, 690, 45, 97, 974, 564, 828, 482, 459, 457, 247, 709, 849, 755, 636, 252, 174], [878, 182, 418, 18, 296, 541, 463, 226, 390, 399, 86, 57, 352, 505, 880, 822, 596], [312, 932, 870, 982, 37, 485, 327, 970, 614, 352, 485, 832, 443, 243, 116, 468, 437], [283, 947, 1000, 474, 878, 672, 130, 269, 601, 862, 608, 896, 683, 65, 5, 7, 854], [103, 886, 322, 406, 644, 252, 162, 590, 859, 997, 222, 316, 188, 581, 796, 969, 58], [229, 54, 972, 517, 133, 800, 959, 577, 62, 954, 234, 40, 491, 22, 580, 862, 428], [853, 197, 664, 207, 581, 868, 982, 935, 2, 818, 51, 950, 425, 673, 513, 507, 992], [917, 788, 132, 184, 895, 383, 592, 175, 810, 711, 802, 86, 43, 192, 598, 515, 822], [59, 393, 360, 66, 673, 904, 665, 258, 264, 39, 667, 780, 679, 563, 100, 30, 272], [150, 367, 289, 44, 24, 249, 470, 487, 212, 802, 989, 338, 650, 813, 518, 64, 465], [523, 744, 969, 535, 138, 123, 784, 424, 16, 638, 518, 692, 26, 253, 134, 334, 279], [563, 345, 64, 97, 67, 966, 282, 163, 530, 69, 821, 159, 70, 657, 766, 312, 667], [102, 543, 515, 548, 410, 417, 570, 834, 78, 297, 961, 164, 375, 429, 318, 636, 506], [358, 824, 326, 229, 271, 557, 286, 19, 74, 375, 713, 292, 984, 730, 734, 281, 275], [9, 812, 979, 24, 319, 707, 337, 99, 454, 499, 124, 291, 400, 809, 566, 290, 151], [815, 554, 264, 774, 823, 520, 185, 11, 860, 938, 566, 15, 367, 729, 540, 623, 14], [13, 808, 108, 848, 278, 568, 551, 248, 3, 814, 211, 204, 808, 452, 564, 477, 744]]), [697, 690, 45, 97, 974, 564, 828, 482, 459, 457, 247, 709, 849, 755, 636, 252, 174, 596, 437, 854, 58, 428, 992, 822, 272, 465, 279, 667, 506, 275, 151, 14, 744, 477, 564, 452, 808, 204, 211, 814, 3, 248, 551, 568, 278, 848, 108, 808, 13, 815, 9, 358, 102, 563, 523, 150, 59, 917, 853, 229, 103, 283, 312, 878, 182, 418, 18, 296, 541, 463, 226, 390, 399, 86, 57, 352, 505, 880, 822, 468, 7, 969, 862, 507, 515, 30, 64, 334, 312, 636, 281, 290, 623, 540, 729, 367, 15, 566, 938, 860, 11, 185, 520, 823, 774, 264, 554, 812, 824, 543, 345, 744, 367, 393, 788, 197, 54, 886, 947, 932, 870, 982, 37, 485, 327, 970, 614, 352, 485, 832, 443, 243, 116, 5, 796, 580, 513, 598, 100, 518, 134, 766, 318, 734, 566, 809, 400, 291, 124, 499, 454, 99, 337, 707, 319, 24, 979, 326, 515, 64, 969, 289, 360, 132, 664, 972, 322, 1000, 474, 878, 672, 130, 269, 601, 862, 608, 896, 683, 65, 581, 22, 673, 192, 563, 813, 253, 657, 429, 730, 984, 292, 713, 375, 74, 19, 286, 557, 271, 229, 548, 97, 535, 44, 66, 184, 207, 517, 406, 644, 252, 162, 590, 859, 997, 222, 316, 188, 491, 425, 43, 679, 650, 26, 70, 375, 164, 961, 297, 78, 834, 570, 417, 410, 67, 138, 24, 673, 895, 581, 133, 800, 959, 577, 62, 954, 234, 40, 950, 86, 780, 338, 692, 159, 821, 69, 530, 163, 282, 966, 123, 249, 904, 383, 868, 982, 935, 2, 818, 51, 802, 667, 989, 518, 638, 16, 424, 784, 470, 665, 592, 175, 810, 711, 39, 802, 212, 487, 258, 264]) def test_snail_052(self): self.assertEqual(snail( [[20, 403, 806, 88, 823], [815, 182, 755, 134, 479], [267, 452, 774, 27, 393], [680, 645, 139, 170, 600], [345, 733, 858, 567, 786]]), [20, 403, 806, 88, 823, 479, 393, 600, 786, 567, 858, 733, 345, 680, 267, 815, 182, 755, 134, 27, 170, 139, 645, 452, 774]) def test_snail_053(self): self.assertEqual(snail([[196, 838, 193, 215, 121, 793, 196, 949, 361, 294, 910, 341, 538, 137, 777], [733, 398, 687, 983, 435, 870, 229, 107, 407, 772, 68, 915, 209, 859, 737], [212, 594, 822, 823, 492, 867, 788, 511, 744, 679, 68, 763, 663, 708, 835], [207, 592, 305, 579, 378, 864, 922, 874, 424, 364, 237, 930, 250, 343, 516], [817, 144, 317, 932, 246, 346, 160, 676, 51, 860, 889, 532, 902, 60, 300], [132, 26, 383, 247, 812, 338, 673, 679, 88, 254, 502, 553, 165, 334, 186], [59, 683, 976, 614, 311, 493, 17, 433, 171, 254, 478, 430, 6, 238, 216], [70, 590, 861, 521, 494, 163, 91, 792, 848, 892, 525, 313, 845, 455, 222], [471, 326, 678, 405, 72, 724, 69, 630, 206, 767, 730, 223, 860, 290, 477], [848, 786, 184, 788, 614, 38, 213, 908, 258, 752, 927, 756, 780, 835, 260], [240, 604, 469, 663, 791, 671, 405, 848, 731, 335, 905, 129, 239, 679, 516], [28, 935, 400, 783, 206, 777, 836, 627, 32, 475, 736, 206, 469, 495, 543], [271, 429, 63, 55, 402, 237, 622, 711, 443, 603, 307, 107, 892, 627, 360], [265, 323, 177, 700, 4, 43, 396, 551, 646, 392, 735, 686, 784, 445, 603], [807, 589, 84, 393, 478, 843, 317, 717, 678, 341, 257, 31, 498, 454, 260]]), [196, 838, 193, 215, 121, 793, 196, 949, 361, 294, 910, 341, 538, 137, 777, 737, 835, 516, 300, 186, 216, 222, 477, 260, 516, 543, 360, 603, 260, 454, 498, 31, 257, 341, 678, 717, 317, 843, 478, 393, 84, 589, 807, 265, 271, 28, 240, 848, 471, 70, 59, 132, 817, 207, 212, 733, 398, 687, 983, 435, 870, 229, 107, 407, 772, 68, 915, 209, 859, 708, 343, 60, 334, 238, 455, 290, 835, 679, 495, 627, 445, 784, 686, 735, 392, 646, 551, 396, 43, 4, 700, 177, 323, 429, 935, 604, 786, 326, 590, 683, 26, 144, 592, 594, 822, 823, 492, 867, 788, 511, 744, 679, 68, 763, 663, 250, 902, 165, 6, 845, 860, 780, 239, 469, 892, 107, 307, 603, 443, 711, 622, 237, 402, 55, 63, 400, 469, 184, 678, 861, 976, 383, 317, 305, 579, 378, 864, 922, 874, 424, 364, 237, 930, 532, 553, 430, 313, 223, 756, 129, 206, 736, 475, 32, 627, 836, 777, 206, 783, 663, 788, 405, 521, 614, 247, 932, 246, 346, 160, 676, 51, 860, 889, 502, 478, 525, 730, 927, 905, 335, 731, 848, 405, 671, 791, 614, 72, 494, 311, 812, 338, 673, 679, 88, 254, 254, 892, 767, 752, 258, 908, 213, 38, 724, 163, 493, 17, 433, 171, 848, 206, 630, 69, 91, 792]) def test_snail_054(self): self.assertEqual(snail( [[680, 28, 574, 89, 186, 359], [110, 422, 21, 950, 715, 79], [344, 688, 686, 338, 239, 840], [320, 321, 492, 418, 905, 628], [684, 383, 704, 429, 457, 932], [977, 861, 351, 408, 652, 42]]), [680, 28, 574, 89, 186, 359, 79, 840, 628, 932, 42, 652, 408, 351, 861, 977, 684, 320, 344, 110, 422, 21, 950, 715, 239, 905, 457, 429, 704, 383, 321, 688, 686, 338, 418, 492]) def test_snail_055(self): self.assertEqual(snail([[58, 407, 6, 598, 246, 664, 722, 382, 779, 444, 939, 572, 998, 857, 973, 783, 332, 192], [664, 600, 824, 153, 433, 187, 978, 637, 740, 427, 135, 816, 393, 522, 351, 940, 896, 65], [126, 399, 993, 472, 941, 3, 717, 884, 803, 688, 203, 219, 414, 589, 972, 999, 730, 672], [43, 467, 608, 228, 380, 252, 318, 177, 251, 657, 281, 509, 714, 14, 49, 909, 934, 672], [718, 635, 676, 235, 349, 435, 914, 136, 476, 562, 653, 497, 338, 58, 63, 716, 187, 48], [530, 480, 937, 218, 277, 678, 434, 266, 334, 95, 270, 449, 631, 192, 309, 389, 564, 924], [279, 697, 22, 866, 170, 218, 584, 387, 992, 727, 188, 755, 564, 367, 27, 250, 250, 999], [561, 200, 392, 765, 31, 517, 431, 463, 28, 376, 49, 428, 336, 994, 311, 814, 27, 288], [928, 846, 706, 704, 835, 565, 752, 294, 404, 519, 269, 311, 38, 914, 216, 74, 364, 83], [415, 30, 240, 897, 143, 567, 250, 27, 872, 101, 345, 1000, 12, 47, 485, 188, 675, 861], [837, 586, 441, 706, 658, 312, 12, 823, 414, 485, 975, 621, 788, 912, 923, 260, 611, 863], [299, 973, 177, 461, 147, 265, 732, 9, 521, 211, 73, 300, 919, 316, 839, 956, 164, 950], [289, 604, 206, 623, 94, 84, 544, 200, 955, 230, 186, 194, 852, 47, 586, 687, 559, 809], [139, 266, 610, 674, 20, 856, 866, 721, 224, 61, 754, 599, 97, 827, 934, 724, 207, 281], [59, 42, 40, 155, 346, 392, 602, 768, 428, 104, 285, 74, 913, 885, 258, 79, 366, 114], [205, 16, 543, 155, 384, 415, 64, 375, 841, 387, 922, 909, 489, 846, 666, 378, 933, 908], [389, 178, 394, 265, 728, 108, 599, 398, 569, 480, 159, 635, 255, 421, 260, 230, 855, 267], [767, 767, 591, 319, 141, 136, 915, 262, 723, 932, 887, 891, 417, 101, 415, 178, 369, 179]]), [58, 407, 6, 598, 246, 664, 722, 382, 779, 444, 939, 572, 998, 857, 973, 783, 332, 192, 65, 672, 672, 48, 924, 999, 288, 83, 861, 863, 950, 809, 281, 114, 908, 267, 179, 369, 178, 415, 101, 417, 891, 887, 932, 723, 262, 915, 136, 141, 319, 591, 767, 767, 389, 205, 59, 139, 289, 299, 837, 415, 928, 561, 279, 530, 718, 43, 126, 664, 600, 824, 153, 433, 187, 978, 637, 740, 427, 135, 816, 393, 522, 351, 940, 896, 730, 934, 187, 564, 250, 27, 364, 675, 611, 164, 559, 207, 366, 933, 855, 230, 260, 421, 255, 635, 159, 480, 569, 398, 599, 108, 728, 265, 394, 178, 16, 42, 266, 604, 973, 586, 30, 846, 200, 697, 480, 635, 467, 399, 993, 472, 941, 3, 717, 884, 803, 688, 203, 219, 414, 589, 972, 999, 909, 716, 389, 250, 814, 74, 188, 260, 956, 687, 724, 79, 378, 666, 846, 489, 909, 922, 387, 841, 375, 64, 415, 384, 155, 543, 40, 610, 206, 177, 441, 240, 706, 392, 22, 937, 676, 608, 228, 380, 252, 318, 177, 251, 657, 281, 509, 714, 14, 49, 63, 309, 27, 311, 216, 485, 923, 839, 586, 934, 258, 885, 913, 74, 285, 104, 428, 768, 602, 392, 346, 155, 674, 623, 461, 706, 897, 704, 765, 866, 218, 235, 349, 435, 914, 136, 476, 562, 653, 497, 338, 58, 192, 367, 994, 914, 47, 912, 316, 47, 827, 97, 599, 754, 61, 224, 721, 866, 856, 20, 94, 147, 658, 143, 835, 31, 170, 277, 678, 434, 266, 334, 95, 270, 449, 631, 564, 336, 38, 12, 788, 919, 852, 194, 186, 230, 955, 200, 544, 84, 265, 312, 567, 565, 517, 218, 584, 387, 992, 727, 188, 755, 428, 311, 1000, 621, 300, 73, 211, 521, 9, 732, 12, 250, 752, 431, 463, 28, 376, 49, 269, 345, 975, 485, 414, 823, 27, 294, 404, 519, 101, 872]) def test_snail_056(self): self.assertEqual(snail([[990, 568, 232, 648, 150, 961, 543, 323, 970, 480, 247, 655, 234, 766], [445, 283, 695, 616, 307, 693, 516, 267, 772, 614, 375, 354, 874, 139], [56, 886, 202, 95, 850, 689, 279, 633, 473, 300, 210, 950, 264, 392], [656, 90, 399, 263, 200, 764, 793, 125, 644, 341, 1, 41, 315, 577], [703, 868, 597, 797, 445, 159, 899, 961, 421, 400, 865, 37, 475, 501], [554, 14, 369, 351, 506, 615, 921, 242, 972, 625, 402, 906, 693, 251], [727, 518, 523, 314, 40, 458, 338, 814, 508, 135, 515, 151, 288, 433], [456, 696, 183, 605, 963, 882, 243, 721, 924, 276, 244, 341, 592, 746], [275, 799, 613, 400, 259, 241, 12, 991, 844, 51, 532, 893, 933, 357], [649, 500, 240, 430, 276, 488, 583, 197, 11, 646, 285, 552, 812, 520], [654, 829, 189, 560, 146, 26, 397, 206, 605, 64, 132, 791, 264, 469], [823, 419, 690, 389, 997, 854, 416, 97, 267, 499, 383, 250, 856, 510], [863, 725, 195, 653, 568, 668, 761, 598, 379, 810, 674, 535, 350, 215], [880, 492, 584, 822, 260, 81, 726, 737, 166, 379, 347, 66, 990, 381]]), [990, 568, 232, 648, 150, 961, 543, 323, 970, 480, 247, 655, 234, 766, 139, 392, 577, 501, 251, 433, 746, 357, 520, 469, 510, 215, 381, 990, 66, 347, 379, 166, 737, 726, 81, 260, 822, 584, 492, 880, 863, 823, 654, 649, 275, 456, 727, 554, 703, 656, 56, 445, 283, 695, 616, 307, 693, 516, 267, 772, 614, 375, 354, 874, 264, 315, 475, 693, 288, 592, 933, 812, 264, 856, 350, 535, 674, 810, 379, 598, 761, 668, 568, 653, 195, 725, 419, 829, 500, 799, 696, 518, 14, 868, 90, 886, 202, 95, 850, 689, 279, 633, 473, 300, 210, 950, 41, 37, 906, 151, 341, 893, 552, 791, 250, 383, 499, 267, 97, 416, 854, 997, 389, 690, 189, 240, 613, 183, 523, 369, 597, 399, 263, 200, 764, 793, 125, 644, 341, 1, 865, 402, 515, 244, 532, 285, 132, 64, 605, 206, 397, 26, 146, 560, 430, 400, 605, 314, 351, 797, 445, 159, 899, 961, 421, 400, 625, 135, 276, 51, 646, 11, 197, 583, 488, 276, 259, 963, 40, 506, 615, 921, 242, 972, 508, 924, 844, 991, 12, 241, 882, 458, 338, 814, 721, 243]) def test_snail_057(self): self.assertEqual(snail([[40, 406, 36, 505, 634, 102, 702, 130], [441, 809, 470, 914, 796, 852, 306, 978], [919, 501, 158, 558, 536, 141, 229, 678], [841, 688, 115, 374, 638, 735, 687, 358], [432, 204, 983, 343, 5, 717, 999, 912], [380, 253, 737, 263, 790, 515, 817, 270], [298, 335, 347, 644, 356, 931, 594, 954], [977, 832, 618, 875, 547, 995, 47, 183]]), [40, 406, 36, 505, 634, 102, 702, 130, 978, 678, 358, 912, 270, 954, 183, 47, 995, 547, 875, 618, 832, 977, 298, 380, 432, 841, 919, 441, 809, 470, 914, 796, 852, 306, 229, 687, 999, 817, 594, 931, 356, 644, 347, 335, 253, 204, 688, 501, 158, 558, 536, 141, 735, 717, 515, 790, 263, 737, 983, 115, 374, 638, 5, 343]) def test_snail_058(self): self.assertEqual( snail([[935, 756, 641], [827, 444, 751], [166, 61, 775]]), [935, 756, 641, 751, 775, 61, 166, 827, 444]) def test_snail_059(self): self.assertEqual(snail([[21, 182], [507, 380]]), [21, 182, 380, 507]) def test_snail_060(self): self.assertEqual(snail( [[535, 230, 195, 719, 377], [95, 348, 60, 911, 645], [654, 459, 570, 244, 205], [728, 622, 509, 484, 25], [253, 883, 275, 80, 276]]), [535, 230, 195, 719, 377, 645, 205, 25, 276, 80, 275, 883, 253, 728, 654, 95, 348, 60, 911, 244, 484, 509, 622, 459, 570]) def test_snail_061(self): self.assertEqual(snail([[785, 961, 393, 614, 388, 455, 610, 908, 516, 364, 872, 655, 842, 764, 246], [747, 313, 906, 923, 915, 201, 951, 533, 862, 575, 735, 729, 14, 730, 25], [170, 790, 377, 815, 635, 93, 45, 31, 555, 762, 119, 935, 885, 180, 891], [806, 414, 178, 167, 636, 597, 562, 768, 302, 74, 481, 549, 962, 118, 40], [742, 767, 826, 738, 501, 914, 693, 644, 409, 81, 185, 361, 197, 649, 124], [232, 878, 30, 498, 260, 724, 650, 544, 388, 384, 2, 159, 714, 198, 532], [375, 157, 579, 641, 683, 263, 576, 500, 177, 402, 659, 489, 438, 839, 314], [834, 355, 434, 66, 333, 91, 207, 2, 651, 340, 505, 175, 443, 446, 740], [688, 517, 275, 811, 515, 461, 833, 811, 849, 406, 79, 631, 431, 108, 122], [252, 712, 973, 15, 536, 36, 55, 901, 503, 701, 520, 690, 918, 759, 217], [350, 784, 946, 63, 801, 911, 233, 411, 116, 355, 973, 352, 784, 50, 352], [242, 23, 728, 771, 881, 975, 565, 498, 405, 694, 441, 621, 741, 586, 48], [551, 928, 529, 150, 280, 388, 741, 717, 699, 211, 677, 512, 900, 416, 689], [404, 225, 869, 308, 827, 93, 424, 276, 775, 180, 569, 51, 710, 847, 792], [771, 527, 737, 805, 705, 766, 900, 757, 994, 640, 335, 733, 588, 921, 265]]), [785, 961, 393, 614, 388, 455, 610, 908, 516, 364, 872, 655, 842, 764, 246, 25, 891, 40, 124, 532, 314, 740, 122, 217, 352, 48, 689, 792, 265, 921, 588, 733, 335, 640, 994, 757, 900, 766, 705, 805, 737, 527, 771, 404, 551, 242, 350, 252, 688, 834, 375, 232, 742, 806, 170, 747, 313, 906, 923, 915, 201, 951, 533, 862, 575, 735, 729, 14, 730, 180, 118, 649, 198, 839, 446, 108, 759, 50, 586, 416, 847, 710, 51, 569, 180, 775, 276, 424, 93, 827, 308, 869, 225, 928, 23, 784, 712, 517, 355, 157, 878, 767, 414, 790, 377, 815, 635, 93, 45, 31, 555, 762, 119, 935, 885, 962, 197, 714, 438, 443, 431, 918, 784, 741, 900, 512, 677, 211, 699, 717, 741, 388, 280, 150, 529, 728, 946, 973, 275, 434, 579, 30, 826, 178, 167, 636, 597, 562, 768, 302, 74, 481, 549, 361, 159, 489, 175, 631, 690, 352, 621, 441, 694, 405, 498, 565, 975, 881, 771, 63, 15, 811, 66, 641, 498, 738, 501, 914, 693, 644, 409, 81, 185, 2, 659, 505, 79, 520, 973, 355, 116, 411, 233, 911, 801, 536, 515, 333, 683, 260, 724, 650, 544, 388, 384, 402, 340, 406, 701, 503, 901, 55, 36, 461, 91, 263, 576, 500, 177, 651, 849, 811, 833, 207, 2]) def test_snail_062(self): self.assertEqual(snail([[353, 85, 930, 216], [626, 576, 495, 991], [581, 192, 891, 709], [350, 925, 349, 502]]), [353, 85, 930, 216, 991, 709, 502, 349, 925, 350, 581, 626, 576, 495, 891, 192]) def test_snail_063(self): self.assertEqual(snail([[540]]), [540]) def test_snail_064(self): self.assertEqual(snail( [[323, 110, 157, 740, 114, 704, 774, 106, 268, 508, 566, 474], [399, 944, 938, 434, 715, 475, 929, 705, 940, 246, 787, 528], [807, 311, 393, 557, 372, 756, 260, 12, 811, 4, 368, 282], [618, 918, 279, 23, 755, 16, 141, 214, 837, 333, 916, 937], [353, 304, 904, 659, 345, 217, 882, 563, 845, 34, 318, 763], [420, 645, 620, 910, 271, 243, 705, 909, 841, 907, 954, 745], [114, 445, 310, 574, 25, 779, 262, 381, 319, 231, 460, 811], [768, 163, 698, 307, 647, 712, 617, 700, 549, 215, 645, 839], [779, 475, 357, 508, 819, 672, 250, 228, 602, 747, 734, 598], [217, 834, 271, 442, 745, 526, 141, 571, 331, 715, 937, 24], [159, 231, 655, 435, 450, 532, 913, 91, 527, 105, 40, 294], [654, 903, 196, 676, 451, 502, 602, 539, 429, 795, 646, 117]]), [323, 110, 157, 740, 114, 704, 774, 106, 268, 508, 566, 474, 528, 282, 937, 763, 745, 811, 839, 598, 24, 294, 117, 646, 795, 429, 539, 602, 502, 451, 676, 196, 903, 654, 159, 217, 779, 768, 114, 420, 353, 618, 807, 399, 944, 938, 434, 715, 475, 929, 705, 940, 246, 787, 368, 916, 318, 954, 460, 645, 734, 937, 40, 105, 527, 91, 913, 532, 450, 435, 655, 231, 834, 475, 163, 445, 645, 304, 918, 311, 393, 557, 372, 756, 260, 12, 811, 4, 333, 34, 907, 231, 215, 747, 715, 331, 571, 141, 526, 745, 442, 271, 357, 698, 310, 620, 904, 279, 23, 755, 16, 141, 214, 837, 845, 841, 319, 549, 602, 228, 250, 672, 819, 508, 307, 574, 910, 659, 345, 217, 882, 563, 909, 381, 700, 617, 712, 647, 25, 271, 243, 705, 262, 779]) def test_snail_065(self): self.assertEqual(snail([[986, 240, 922, 622, 119, 802, 582, 105, 664, 791, 735, 699, 470, 252, 698, 185, 108, 345, 492, 923], [240, 476, 677, 30, 653, 350, 500, 837, 871, 723, 277, 232, 913, 969, 363, 209, 806, 50, 395, 85], [685, 728, 491, 175, 714, 445, 721, 940, 935, 357, 321, 462, 884, 97, 210, 183, 804, 892, 424, 518], [43, 751, 907, 556, 279, 812, 613, 69, 915, 20, 19, 446, 737, 739, 400, 713, 203, 94, 294, 335], [48, 183, 597, 479, 293, 803, 657, 501, 358, 165, 14, 999, 153, 35, 638, 561, 25, 565, 891, 543], [918, 781, 555, 285, 954, 969, 636, 883, 200, 883, 426, 521, 528, 495, 964, 773, 799, 545, 116, 512], [279, 668, 405, 945, 213, 573, 712, 99, 713, 688, 492, 589, 177, 718, 651, 252, 843, 376, 657, 428], [332, 282, 54, 321, 724, 679, 50, 698, 727, 252, 661, 306, 790, 269, 958, 673, 742, 806, 310, 568], [785, 236, 107, 886, 498, 650, 569, 967, 185, 57, 448, 25, 101, 787, 194, 464, 508, 925, 944, 531], [141, 283, 763, 387, 423, 348, 93, 286, 448, 71, 745, 231, 949, 228, 838, 717, 673, 24, 42, 634], [861, 730, 300, 615, 603, 945, 225, 319, 418, 919, 514, 27, 884, 628, 229, 87, 193, 140, 692, 508], [568, 394, 305, 601, 237, 948, 275, 480, 33, 277, 821, 38, 313, 236, 216, 27, 650, 972, 284, 554], [613, 892, 806, 441, 975, 777, 615, 741, 534, 43, 203, 991, 405, 302, 447, 313, 800, 345, 54, 670], [689, 699, 296, 498, 793, 199, 282, 489, 224, 839, 870, 409, 686, 935, 196, 2, 755, 257, 246, 712], [328, 236, 205, 980, 365, 90, 865, 401, 528, 368, 802, 971, 48, 218, 30, 655, 308, 690, 285, 387], [215, 929, 894, 328, 40, 718, 33, 112, 729, 609, 598, 956, 838, 252, 727, 798, 486, 797, 65, 758], [162, 746, 960, 376, 695, 473, 664, 960, 948, 375, 354, 980, 614, 540, 300, 538, 822, 816, 117, 371], [343, 801, 497, 285, 121, 244, 913, 709, 271, 252, 301, 557, 115, 678, 161, 389, 169, 38, 765, 240], [815, 108, 350, 304, 736, 991, 769, 383, 399, 621, 397, 798, 382, 738, 344, 280, 479, 255, 398, 280], [411, 702, 791, 603, 849, 743, 594, 468, 396, 752, 297, 515, 426, 426, 806, 385, 878, 815, 840, 50]]), [986, 240, 922, 622, 119, 802, 582, 105, 664, 791, 735, 699, 470, 252, 698, 185, 108, 345, 492, 923, 85, 518, 335, 543, 512, 428, 568, 531, 634, 508, 554, 670, 712, 387, 758, 371, 240, 280, 50, 840, 815, 878, 385, 806, 426, 426, 515, 297, 752, 396, 468, 594, 743, 849, 603, 791, 702, 411, 815, 343, 162, 215, 328, 689, 613, 568, 861, 141, 785, 332, 279, 918, 48, 43, 685, 240, 476, 677, 30, 653, 350, 500, 837, 871, 723, 277, 232, 913, 969, 363, 209, 806, 50, 395, 424, 294, 891, 116, 657, 310, 944, 42, 692, 284, 54, 246, 285, 65, 117, 765, 398, 255, 479, 280, 344, 738, 382, 798, 397, 621, 399, 383, 769, 991, 736, 304, 350, 108, 801, 746, 929, 236, 699, 892, 394, 730, 283, 236, 282, 668, 781, 183, 751, 728, 491, 175, 714, 445, 721, 940, 935, 357, 321, 462, 884, 97, 210, 183, 804, 892, 94, 565, 545, 376, 806, 925, 24, 140, 972, 345, 257, 690, 797, 816, 38, 169, 389, 161, 678, 115, 557, 301, 252, 271, 709, 913, 244, 121, 285, 497, 960, 894, 205, 296, 806, 305, 300, 763, 107, 54, 405, 555, 597, 907, 556, 279, 812, 613, 69, 915, 20, 19, 446, 737, 739, 400, 713, 203, 25, 799, 843, 742, 508, 673, 193, 650, 800, 755, 308, 486, 822, 538, 300, 540, 614, 980, 354, 375, 948, 960, 664, 473, 695, 376, 328, 980, 498, 441, 601, 615, 387, 886, 321, 945, 285, 479, 293, 803, 657, 501, 358, 165, 14, 999, 153, 35, 638, 561, 773, 252, 673, 464, 717, 87, 27, 313, 2, 655, 798, 727, 252, 838, 956, 598, 609, 729, 112, 33, 718, 40, 365, 793, 975, 237, 603, 423, 498, 724, 213, 954, 969, 636, 883, 200, 883, 426, 521, 528, 495, 964, 651, 958, 194, 838, 229, 216, 447, 196, 30, 218, 48, 971, 802, 368, 528, 401, 865, 90, 199, 777, 948, 945, 348, 650, 679, 573, 712, 99, 713, 688, 492, 589, 177, 718, 269, 787, 228, 628, 236, 302, 935, 686, 409, 870, 839, 224, 489, 282, 615, 275, 225, 93, 569, 50, 698, 727, 252, 661, 306, 790, 101, 949, 884, 313, 405, 991, 203, 43, 534, 741, 480, 319, 286, 967, 185, 57, 448, 25, 231, 27, 38, 821, 277, 33, 418, 448, 71, 745, 514, 919]) def test_snail_066(self): self.assertEqual(snail([[779, 390, 935, 443, 441, 932, 526, 627, 761, 633, 708, 770, 21, 872], [754, 424, 961, 78, 264, 512, 496, 963, 781, 96, 127, 102, 443, 432], [462, 403, 123, 808, 836, 958, 574, 126, 686, 524, 508, 557, 61, 901], [6, 257, 831, 713, 790, 660, 2, 775, 268, 337, 75, 804, 357, 961], [604, 802, 2, 87, 101, 475, 192, 722, 345, 173, 926, 171, 170, 293], [12, 776, 242, 639, 641, 929, 898, 119, 5, 501, 358, 518, 440, 395], [635, 821, 94, 345, 146, 460, 246, 555, 618, 331, 959, 907, 717, 521], [669, 178, 275, 457, 549, 963, 216, 69, 228, 722, 444, 914, 58, 643], [826, 947, 674, 252, 707, 10, 968, 492, 418, 191, 393, 595, 278, 540], [797, 490, 818, 461, 131, 884, 421, 935, 299, 970, 715, 75, 516, 507], [546, 784, 474, 248, 573, 366, 638, 696, 927, 892, 508, 311, 606, 632], [846, 536, 776, 553, 586, 170, 327, 24, 828, 282, 927, 787, 202, 550], [739, 628, 146, 910, 843, 244, 23, 430, 521, 810, 923, 467, 875, 938], [222, 359, 852, 608, 514, 865, 674, 391, 344, 161, 69, 418, 188, 375]]), [779, 390, 935, 443, 441, 932, 526, 627, 761, 633, 708, 770, 21, 872, 432, 901, 961, 293, 395, 521, 643, 540, 507, 632, 550, 938, 375, 188, 418, 69, 161, 344, 391, 674, 865, 514, 608, 852, 359, 222, 739, 846, 546, 797, 826, 669, 635, 12, 604, 6, 462, 754, 424, 961, 78, 264, 512, 496, 963, 781, 96, 127, 102, 443, 61, 357, 170, 440, 717, 58, 278, 516, 606, 202, 875, 467, 923, 810, 521, 430, 23, 244, 843, 910, 146, 628, 536, 784, 490, 947, 178, 821, 776, 802, 257, 403, 123, 808, 836, 958, 574, 126, 686, 524, 508, 557, 804, 171, 518, 907, 914, 595, 75, 311, 787, 927, 282, 828, 24, 327, 170, 586, 553, 776, 474, 818, 674, 275, 94, 242, 2, 831, 713, 790, 660, 2, 775, 268, 337, 75, 926, 358, 959, 444, 393, 715, 508, 892, 927, 696, 638, 366, 573, 248, 461, 252, 457, 345, 639, 87, 101, 475, 192, 722, 345, 173, 501, 331, 722, 191, 970, 299, 935, 421, 884, 131, 707, 549, 146, 641, 929, 898, 119, 5, 618, 228, 418, 492, 968, 10, 963, 460, 246, 555, 69, 216]) def test_snail_067(self): self.assertEqual(snail( [[771, 906, 164, 502, 151], [560, 297, 260, 485, 632], [3, 884, 664, 507, 325], [639, 813, 354, 560, 226], [274, 555, 978, 288, 756]]), [771, 906, 164, 502, 151, 632, 325, 226, 756, 288, 978, 555, 274, 639, 3, 560, 297, 260, 485, 507, 560, 354, 813, 884, 664]) def test_snail_068(self): self.assertEqual(snail( [[254, 173, 160, 399, 691, 434], [849, 456, 758, 273, 917, 347], [653, 544, 515, 483, 827, 638], [145, 862, 862, 170, 518, 727], [702, 527, 461, 204, 727, 749], [478, 342, 652, 960, 6, 699]]), [254, 173, 160, 399, 691, 434, 347, 638, 727, 749, 699, 6, 960, 652, 342, 478, 702, 145, 653, 849, 456, 758, 273, 917, 827, 518, 727, 204, 461, 527, 862, 544, 515, 483, 170, 862]) def test_snail_069(self): self.assertEqual(snail( [[226, 704, 457, 816, 131, 280], [360, 476, 612, 26, 934, 390], [456, 641, 669, 251, 211, 954], [152, 516, 380, 865, 617, 824], [887, 422, 509, 185, 322, 688], [593, 21, 364, 475, 965, 533]]), [226, 704, 457, 816, 131, 280, 390, 954, 824, 688, 533, 965, 475, 364, 21, 593, 887, 152, 456, 360, 476, 612, 26, 934, 211, 617, 322, 185, 509, 422, 516, 641, 669, 251, 865, 380]) def test_snail_070(self): self.assertEqual(snail([[721, 438], [320, 489]]), [721, 438, 489, 320]) def test_snail_071(self): self.assertEqual(snail( [[27, 894, 555, 256, 430, 208], [554, 476, 381, 291, 303, 274], [129, 801, 899, 605, 365, 252], [764, 675, 459, 554, 426, 85], [816, 231, 149, 674, 303, 499], [305, 116, 340, 865, 168, 954]]), [27, 894, 555, 256, 430, 208, 274, 252, 85, 499, 954, 168, 865, 340, 116, 305, 816, 764, 129, 554, 476, 381, 291, 303, 365, 426, 303, 674, 149, 231, 675, 801, 899, 605, 554, 459]) def test_snail_072(self): self.assertEqual(snail([[572, 40, 328, 370, 500, 359, 678, 378, 538, 858, 934, 597, 558, 719, 33, 895, 744, 664, 144, 942], [866, 855, 310, 833, 63, 797, 898, 803, 651, 882, 732, 735, 675, 3, 262, 223, 173, 342, 85, 611], [899, 287, 100, 560, 479, 542, 148, 688, 447, 575, 738, 640, 312, 25, 231, 757, 683, 260, 858, 346], [1000, 625, 581, 457, 792, 537, 711, 735, 189, 665, 68, 774, 132, 208, 510, 10, 797, 727, 525, 799], [465, 650, 818, 258, 110, 531, 816, 811, 259, 429, 56, 497, 701, 350, 938, 112, 318, 260, 88, 597], [505, 112, 776, 421, 332, 521, 824, 55, 871, 114, 715, 725, 882, 579, 481, 425, 59, 382, 959, 807], [258, 37, 320, 581, 567, 950, 77, 948, 540, 28, 560, 911, 307, 508, 163, 679, 687, 37, 246, 838], [782, 59, 179, 588, 996, 675, 37, 425, 607, 688, 629, 34, 975, 885, 188, 852, 343, 841, 952, 103], [432, 454, 425, 198, 425, 305, 909, 997, 263, 813, 666, 922, 619, 942, 262, 386, 730, 197, 664, 643], [536, 668, 164, 476, 477, 667, 875, 990, 655, 985, 824, 684, 263, 111, 82, 828, 657, 131, 819, 210], [943, 974, 501, 727, 825, 510, 913, 133, 947, 301, 117, 283, 952, 643, 787, 24, 345, 104, 323, 525], [461, 589, 200, 794, 521, 39, 167, 52, 836, 477, 437, 507, 264, 717, 663, 347, 623, 669, 262, 34], [370, 556, 920, 122, 82, 952, 628, 124, 245, 87, 213, 238, 792, 388, 47, 531, 918, 634, 368, 312], [635, 472, 7, 883, 622, 910, 757, 959, 318, 933, 887, 877, 242, 418, 571, 610, 671, 745, 303, 14], [128, 96, 532, 485, 66, 665, 373, 829, 848, 850, 124, 732, 618, 724, 34, 686, 851, 832, 407, 75], [38, 836, 222, 635, 388, 936, 793, 187, 803, 227, 561, 481, 635, 9, 437, 922, 86, 272, 439, 452], [303, 667, 784, 818, 908, 142, 768, 342, 350, 959, 210, 494, 592, 918, 494, 108, 795, 617, 169, 142], [344, 618, 79, 320, 667, 726, 960, 900, 525, 776, 549, 292, 938, 390, 975, 423, 555, 963, 965, 440], [220, 497, 705, 449, 161, 225, 73, 164, 796, 438, 978, 623, 304, 917, 584, 118, 700, 222, 476, 825], [896, 392, 14, 489, 226, 742, 932, 303, 767, 487, 859, 637, 327, 399, 804, 304, 922, 119, 687, 755]]), [572, 40, 328, 370, 500, 359, 678, 378, 538, 858, 934, 597, 558, 719, 33, 895, 744, 664, 144, 942, 611, 346, 799, 597, 807, 838, 103, 643, 210, 525, 34, 312, 14, 75, 452, 142, 440, 825, 755, 687, 119, 922, 304, 804, 399, 327, 637, 859, 487, 767, 303, 932, 742, 226, 489, 14, 392, 896, 220, 344, 303, 38, 128, 635, 370, 461, 943, 536, 432, 782, 258, 505, 465, 1000, 899, 866, 855, 310, 833, 63, 797, 898, 803, 651, 882, 732, 735, 675, 3, 262, 223, 173, 342, 85, 858, 525, 88, 959, 246, 952, 664, 819, 323, 262, 368, 303, 407, 439, 169, 965, 476, 222, 700, 118, 584, 917, 304, 623, 978, 438, 796, 164, 73, 225, 161, 449, 705, 497, 618, 667, 836, 96, 472, 556, 589, 974, 668, 454, 59, 37, 112, 650, 625, 287, 100, 560, 479, 542, 148, 688, 447, 575, 738, 640, 312, 25, 231, 757, 683, 260, 727, 260, 382, 37, 841, 197, 131, 104, 669, 634, 745, 832, 272, 617, 963, 555, 423, 975, 390, 938, 292, 549, 776, 525, 900, 960, 726, 667, 320, 79, 784, 222, 532, 7, 920, 200, 501, 164, 425, 179, 320, 776, 818, 581, 457, 792, 537, 711, 735, 189, 665, 68, 774, 132, 208, 510, 10, 797, 318, 59, 687, 343, 730, 657, 345, 623, 918, 671, 851, 86, 795, 108, 494, 918, 592, 494, 210, 959, 350, 342, 768, 142, 908, 818, 635, 485, 883, 122, 794, 727, 476, 198, 588, 581, 421, 258, 110, 531, 816, 811, 259, 429, 56, 497, 701, 350, 938, 112, 425, 679, 852, 386, 828, 24, 347, 531, 610, 686, 922, 437, 9, 635, 481, 561, 227, 803, 187, 793, 936, 388, 66, 622, 82, 521, 825, 477, 425, 996, 567, 332, 521, 824, 55, 871, 114, 715, 725, 882, 579, 481, 163, 188, 262, 82, 787, 663, 47, 571, 34, 724, 618, 732, 124, 850, 848, 829, 373, 665, 910, 952, 39, 510, 667, 305, 675, 950, 77, 948, 540, 28, 560, 911, 307, 508, 885, 942, 111, 643, 717, 388, 418, 242, 877, 887, 933, 318, 959, 757, 628, 167, 913, 875, 909, 37, 425, 607, 688, 629, 34, 975, 619, 263, 952, 264, 792, 238, 213, 87, 245, 124, 52, 133, 990, 997, 263, 813, 666, 922, 684, 283, 507, 437, 477, 836, 947, 655, 985, 824, 117, 301]) def test_snail_073(self): self.assertEqual(snail([[785, 373, 215, 440], [948, 869, 882, 65], [236, 227, 508, 450], [46, 69, 45, 237]]), [785, 373, 215, 440, 65, 450, 237, 45, 69, 46, 236, 948, 869, 882, 508, 227]) def test_snail_074(self): self.assertEqual(snail([[319, 115, 440, 26, 579, 418, 402, 165, 517, 784, 878, 694, 93, 128, 44], [852, 607, 878, 871, 517, 532, 992, 374, 11, 98, 518, 711, 147, 227, 506], [201, 469, 258, 872, 604, 990, 830, 450, 143, 19, 552, 694, 210, 758, 103], [716, 320, 227, 464, 249, 476, 868, 589, 739, 445, 2, 718, 961, 95, 220], [928, 536, 957, 213, 258, 403, 998, 925, 940, 860, 860, 119, 145, 74, 928], [516, 421, 697, 192, 26, 251, 294, 643, 476, 959, 442, 826, 31, 582, 629], [542, 446, 841, 808, 696, 30, 179, 795, 269, 917, 643, 306, 284, 20, 840], [513, 218, 830, 912, 862, 388, 741, 525, 630, 405, 631, 383, 531, 318, 426], [434, 565, 697, 621, 308, 675, 252, 683, 842, 26, 133, 402, 692, 674, 531], [351, 597, 455, 57, 498, 523, 349, 688, 114, 881, 103, 692, 829, 40, 375], [630, 400, 244, 600, 467, 618, 505, 435, 821, 670, 896, 248, 743, 83, 784], [349, 703, 796, 713, 477, 203, 15, 468, 921, 837, 517, 134, 641, 899, 504], [690, 699, 610, 990, 139, 296, 914, 196, 333, 876, 29, 979, 869, 355, 472], [187, 787, 932, 687, 662, 625, 759, 371, 438, 893, 838, 876, 442, 442, 697], [454, 871, 70, 541, 598, 597, 402, 472, 327, 160, 913, 735, 518, 770, 635]]), [319, 115, 440, 26, 579, 418, 402, 165, 517, 784, 878, 694, 93, 128, 44, 506, 103, 220, 928, 629, 840, 426, 531, 375, 784, 504, 472, 697, 635, 770, 518, 735, 913, 160, 327, 472, 402, 597, 598, 541, 70, 871, 454, 187, 690, 349, 630, 351, 434, 513, 542, 516, 928, 716, 201, 852, 607, 878, 871, 517, 532, 992, 374, 11, 98, 518, 711, 147, 227, 758, 95, 74, 582, 20, 318, 674, 40, 83, 899, 355, 442, 442, 876, 838, 893, 438, 371, 759, 625, 662, 687, 932, 787, 699, 703, 400, 597, 565, 218, 446, 421, 536, 320, 469, 258, 872, 604, 990, 830, 450, 143, 19, 552, 694, 210, 961, 145, 31, 284, 531, 692, 829, 743, 641, 869, 979, 29, 876, 333, 196, 914, 296, 139, 990, 610, 796, 244, 455, 697, 830, 841, 697, 957, 227, 464, 249, 476, 868, 589, 739, 445, 2, 718, 119, 826, 306, 383, 402, 692, 248, 134, 517, 837, 921, 468, 15, 203, 477, 713, 600, 57, 621, 912, 808, 192, 213, 258, 403, 998, 925, 940, 860, 860, 442, 643, 631, 133, 103, 896, 670, 821, 435, 505, 618, 467, 498, 308, 862, 696, 26, 251, 294, 643, 476, 959, 917, 405, 26, 881, 114, 688, 349, 523, 675, 388, 30, 179, 795, 269, 630, 842, 683, 252, 741, 525]) def test_snail_075(self): self.assertEqual(snail([[117, 708, 570, 27, 409, 596, 355, 42, 480], [874, 320, 499, 489, 767, 179, 912, 813, 855], [929, 737, 403, 431, 219, 710, 107, 450, 61], [860, 446, 119, 88, 448, 553, 833, 293, 803], [868, 141, 930, 398, 882, 135, 585, 348, 890], [506, 859, 833, 31, 808, 663, 384, 341, 457], [864, 183, 143, 954, 427, 680, 940, 411, 585], [995, 374, 784, 568, 200, 777, 468, 69, 902], [206, 588, 712, 813, 721, 746, 11, 284, 45]]), [117, 708, 570, 27, 409, 596, 355, 42, 480, 855, 61, 803, 890, 457, 585, 902, 45, 284, 11, 746, 721, 813, 712, 588, 206, 995, 864, 506, 868, 860, 929, 874, 320, 499, 489, 767, 179, 912, 813, 450, 293, 348, 341, 411, 69, 468, 777, 200, 568, 784, 374, 183, 859, 141, 446, 737, 403, 431, 219, 710, 107, 833, 585, 384, 940, 680, 427, 954, 143, 833, 930, 119, 88, 448, 553, 135, 663, 808, 31, 398, 882]) def test_snail_076(self): self.assertEqual(snail([[385, 928, 460, 539, 984, 516, 609, 769, 825, 857, 819, 422, 989, 319, 60, 450, 495, 64, 624], [604, 59, 272, 470, 997, 980, 563, 632, 353, 366, 750, 740, 395, 978, 995, 848, 72, 820, 410], [703, 427, 351, 469, 685, 297, 362, 947, 998, 434, 896, 773, 441, 562, 785, 704, 529, 471, 798], [564, 846, 756, 916, 435, 184, 785, 930, 349, 161, 253, 365, 82, 976, 499, 461, 398, 278, 331], [529, 354, 643, 338, 772, 629, 726, 296, 672, 282, 268, 741, 330, 272, 217, 188, 754, 875, 58], [869, 349, 328, 585, 442, 812, 645, 854, 317, 437, 314, 343, 571, 202, 534, 22, 307, 874, 859], [161, 579, 865, 703, 276, 889, 374, 792, 123, 668, 970, 737, 846, 416, 704, 204, 660, 223, 509], [243, 645, 359, 427, 636, 193, 663, 857, 712, 510, 367, 862, 352, 715, 811, 986, 292, 391, 475], [645, 767, 117, 907, 321, 906, 592, 508, 647, 289, 307, 519, 425, 659, 219, 459, 537, 505, 328], [743, 74, 374, 226, 356, 28, 5, 215, 459, 232, 18, 123, 308, 277, 490, 345, 68, 763, 93], [21, 927, 770, 760, 75, 751, 387, 686, 366, 108, 327, 196, 603, 676, 337, 59, 799, 41, 699], [777, 779, 755, 647, 718, 144, 749, 35, 282, 233, 552, 936, 391, 140, 877, 874, 472, 86, 836], [966, 63, 26, 21, 595, 325, 521, 636, 481, 485, 664, 897, 151, 132, 969, 967, 856, 953, 425], [352, 849, 157, 520, 272, 9, 934, 441, 261, 380, 868, 260, 375, 547, 699, 924, 794, 617, 222], [559, 901, 435, 537, 620, 779, 708, 848, 903, 701, 570, 115, 114, 342, 57, 878, 278, 697, 629], [541, 502, 381, 168, 792, 268, 21, 59, 581, 691, 695, 906, 616, 808, 366, 804, 36, 210, 295], [662, 142, 571, 207, 905, 913, 414, 341, 956, 602, 115, 78, 688, 67, 148, 92, 930, 68, 258], [301, 970, 837, 91, 679, 574, 119, 324, 554, 233, 617, 382, 876, 516, 380, 584, 516, 911, 331], [894, 637, 193, 54, 14, 503, 221, 127, 118, 565, 234, 828, 753, 97, 257, 619, 811, 803, 934]]), [385, 928, 460, 539, 984, 516, 609, 769, 825, 857, 819, 422, 989, 319, 60, 450, 495, 64, 624, 410, 798, 331, 58, 859, 509, 475, 328, 93, 699, 836, 425, 222, 629, 295, 258, 331, 934, 803, 811, 619, 257, 97, 753, 828, 234, 565, 118, 127, 221, 503, 14, 54, 193, 637, 894, 301, 662, 541, 559, 352, 966, 777, 21, 743, 645, 243, 161, 869, 529, 564, 703, 604, 59, 272, 470, 997, 980, 563, 632, 353, 366, 750, 740, 395, 978, 995, 848, 72, 820, 471, 278, 875, 874, 223, 391, 505, 763, 41, 86, 953, 617, 697, 210, 68, 911, 516, 584, 380, 516, 876, 382, 617, 233, 554, 324, 119, 574, 679, 91, 837, 970, 142, 502, 901, 849, 63, 779, 927, 74, 767, 645, 579, 349, 354, 846, 427, 351, 469, 685, 297, 362, 947, 998, 434, 896, 773, 441, 562, 785, 704, 529, 398, 754, 307, 660, 292, 537, 68, 799, 472, 856, 794, 278, 36, 930, 92, 148, 67, 688, 78, 115, 602, 956, 341, 414, 913, 905, 207, 571, 381, 435, 157, 26, 755, 770, 374, 117, 359, 865, 328, 643, 756, 916, 435, 184, 785, 930, 349, 161, 253, 365, 82, 976, 499, 461, 188, 22, 204, 986, 459, 345, 59, 874, 967, 924, 878, 804, 366, 808, 616, 906, 695, 691, 581, 59, 21, 268, 792, 168, 537, 520, 21, 647, 760, 226, 907, 427, 703, 585, 338, 772, 629, 726, 296, 672, 282, 268, 741, 330, 272, 217, 534, 704, 811, 219, 490, 337, 877, 969, 699, 57, 342, 114, 115, 570, 701, 903, 848, 708, 779, 620, 272, 595, 718, 75, 356, 321, 636, 276, 442, 812, 645, 854, 317, 437, 314, 343, 571, 202, 416, 715, 659, 277, 676, 140, 132, 547, 375, 260, 868, 380, 261, 441, 934, 9, 325, 144, 751, 28, 906, 193, 889, 374, 792, 123, 668, 970, 737, 846, 352, 425, 308, 603, 391, 151, 897, 664, 485, 481, 636, 521, 749, 387, 5, 592, 663, 857, 712, 510, 367, 862, 519, 123, 196, 936, 552, 233, 282, 35, 686, 215, 508, 647, 289, 307, 18, 327, 108, 366, 459, 232]) def test_snail_077(self): self.assertEqual(snail([[666, 962, 235, 436, 68, 11, 222, 412, 346, 108, 83, 505, 615, 899, 111, 149, 740, 452, 988, 476], [546, 18, 303, 148, 420, 385, 556, 547, 944, 980, 346, 821, 402, 114, 287, 328, 884, 420, 476, 327], [586, 711, 282, 581, 620, 649, 276, 979, 359, 916, 897, 797, 676, 359, 510, 229, 621, 782, 559, 406], [888, 758, 801, 266, 597, 509, 541, 501, 301, 109, 298, 676, 542, 803, 434, 40, 601, 224, 72, 387], [402, 960, 825, 515, 400, 282, 102, 787, 226, 256, 446, 116, 926, 868, 497, 885, 645, 228, 37, 263], [589, 332, 700, 507, 657, 509, 28, 46, 60, 615, 43, 439, 545, 382, 249, 1, 511, 411, 369, 336], [470, 14, 533, 919, 248, 40, 292, 559, 970, 850, 609, 202, 315, 100, 52, 467, 332, 666, 620, 145], [117, 906, 282, 526, 168, 206, 689, 213, 207, 78, 270, 186, 877, 744, 191, 86, 56, 626, 47, 777], [491, 902, 689, 519, 278, 647, 890, 903, 351, 125, 873, 92, 510, 765, 213, 298, 972, 42, 667, 61], [689, 759, 825, 676, 249, 697, 684, 112, 347, 73, 863, 91, 150, 311, 140, 814, 984, 838, 458, 505], [176, 115, 727, 603, 981, 695, 255, 165, 433, 82, 576, 392, 401, 736, 469, 685, 684, 473, 599, 275], [400, 527, 489, 949, 267, 523, 711, 642, 204, 140, 298, 162, 730, 26, 745, 748, 641, 378, 187, 208], [424, 742, 633, 608, 645, 642, 876, 276, 408, 985, 695, 3, 772, 967, 436, 422, 333, 626, 980, 279], [363, 401, 873, 167, 355, 259, 678, 424, 558, 957, 171, 284, 664, 517, 855, 849, 112, 470, 331, 112], [353, 257, 463, 706, 552, 957, 255, 596, 453, 950, 352, 914, 493, 798, 735, 633, 747, 552, 368, 547], [524, 688, 975, 145, 704, 232, 190, 483, 617, 262, 882, 782, 5, 345, 285, 483, 325, 321, 866, 806], [99, 972, 262, 332, 81, 103, 425, 156, 240, 599, 508, 755, 783, 585, 354, 515, 694, 638, 22, 815], [789, 616, 172, 544, 827, 862, 286, 844, 376, 844, 508, 320, 675, 197, 350, 545, 505, 78, 155, 606], [203, 167, 992, 723, 682, 83, 534, 315, 376, 89, 267, 107, 346, 924, 306, 752, 627, 496, 994, 613], [581, 737, 393, 879, 406, 15, 265, 238, 125, 683, 505, 835, 174, 509, 284, 12, 364, 345, 395, 1]]), [666, 962, 235, 436, 68, 11, 222, 412, 346, 108, 83, 505, 615, 899, 111, 149, 740, 452, 988, 476, 327, 406, 387, 263, 336, 145, 777, 61, 505, 275, 208, 279, 112, 547, 806, 815, 606, 613, 1, 395, 345, 364, 12, 284, 509, 174, 835, 505, 683, 125, 238, 265, 15, 406, 879, 393, 737, 581, 203, 789, 99, 524, 353, 363, 424, 400, 176, 689, 491, 117, 470, 589, 402, 888, 586, 546, 18, 303, 148, 420, 385, 556, 547, 944, 980, 346, 821, 402, 114, 287, 328, 884, 420, 476, 559, 72, 37, 369, 620, 47, 667, 458, 599, 187, 980, 331, 368, 866, 22, 155, 994, 496, 627, 752, 306, 924, 346, 107, 267, 89, 376, 315, 534, 83, 682, 723, 992, 167, 616, 972, 688, 257, 401, 742, 527, 115, 759, 902, 906, 14, 332, 960, 758, 711, 282, 581, 620, 649, 276, 979, 359, 916, 897, 797, 676, 359, 510, 229, 621, 782, 224, 228, 411, 666, 626, 42, 838, 473, 378, 626, 470, 552, 321, 638, 78, 505, 545, 350, 197, 675, 320, 508, 844, 376, 844, 286, 862, 827, 544, 172, 262, 975, 463, 873, 633, 489, 727, 825, 689, 282, 533, 700, 825, 801, 266, 597, 509, 541, 501, 301, 109, 298, 676, 542, 803, 434, 40, 601, 645, 511, 332, 56, 972, 984, 684, 641, 333, 112, 747, 325, 694, 515, 354, 585, 783, 755, 508, 599, 240, 156, 425, 103, 81, 332, 145, 706, 167, 608, 949, 603, 676, 519, 526, 919, 507, 515, 400, 282, 102, 787, 226, 256, 446, 116, 926, 868, 497, 885, 1, 467, 86, 298, 814, 685, 748, 422, 849, 633, 483, 285, 345, 5, 782, 882, 262, 617, 483, 190, 232, 704, 552, 355, 645, 267, 981, 249, 278, 168, 248, 657, 509, 28, 46, 60, 615, 43, 439, 545, 382, 249, 52, 191, 213, 140, 469, 745, 436, 855, 735, 798, 493, 914, 352, 950, 453, 596, 255, 957, 259, 642, 523, 695, 697, 647, 206, 40, 292, 559, 970, 850, 609, 202, 315, 100, 744, 765, 311, 736, 26, 967, 517, 664, 284, 171, 957, 558, 424, 678, 876, 711, 255, 684, 890, 689, 213, 207, 78, 270, 186, 877, 510, 150, 401, 730, 772, 3, 695, 985, 408, 276, 642, 165, 112, 903, 351, 125, 873, 92, 91, 392, 162, 298, 140, 204, 433, 347, 73, 863, 576, 82]) def test_snail_078(self): self.assertEqual(snail([[46, 105, 755, 137, 836, 162, 149, 478, 258], [379, 307, 501, 642, 573, 610, 945, 506, 956], [896, 309, 293, 526, 429, 298, 636, 989, 80], [880, 153, 23, 95, 765, 124, 818, 836, 15], [242, 510, 792, 823, 494, 479, 737, 231, 317], [982, 293, 984, 13, 276, 39, 167, 146, 236], [431, 546, 246, 860, 207, 380, 306, 577, 405], [905, 276, 247, 949, 479, 6, 61, 479, 257], [106, 744, 940, 112, 474, 457, 968, 106, 834]]), [46, 105, 755, 137, 836, 162, 149, 478, 258, 956, 80, 15, 317, 236, 405, 257, 834, 106, 968, 457, 474, 112, 940, 744, 106, 905, 431, 982, 242, 880, 896, 379, 307, 501, 642, 573, 610, 945, 506, 989, 836, 231, 146, 577, 479, 61, 6, 479, 949, 247, 276, 546, 293, 510, 153, 309, 293, 526, 429, 298, 636, 818, 737, 167, 306, 380, 207, 860, 246, 984, 792, 23, 95, 765, 124, 479, 39, 276, 13, 823, 494]) def test_snail_079(self): self.assertEqual(snail([[601]]), [601]) def test_snail_080(self): self.assertEqual(snail([[536, 275, 747, 8, 428, 685, 425, 412, 645, 533, 654, 886, 275, 373, 341, 70, 650], [756, 413, 436, 934, 70, 645, 837, 399, 729, 158, 115, 212, 529, 627, 892, 58, 619], [518, 780, 787, 240, 167, 877, 45, 186, 204, 22, 90, 292, 440, 612, 569, 934, 587], [409, 521, 219, 974, 972, 466, 222, 367, 656, 763, 432, 42, 652, 251, 806, 486, 266], [144, 220, 975, 993, 678, 28, 287, 838, 236, 632, 211, 508, 380, 748, 908, 232, 311], [59, 581, 843, 66, 293, 134, 177, 377, 903, 109, 289, 797, 915, 171, 878, 695, 826], [5, 889, 628, 878, 997, 251, 772, 414, 963, 863, 628, 454, 971, 275, 246, 243, 471], [589, 24, 469, 290, 96, 747, 174, 213, 135, 156, 578, 50, 459, 831, 340, 571, 230], [943, 385, 307, 46, 800, 569, 449, 634, 899, 355, 786, 960, 487, 267, 905, 890, 626], [382, 736, 909, 496, 936, 828, 684, 105, 44, 589, 477, 225, 434, 649, 419, 273, 447], [629, 814, 94, 606, 640, 272, 12, 589, 421, 327, 552, 249, 232, 32, 713, 179, 812], [432, 535, 53, 10, 658, 475, 431, 61, 830, 716, 173, 797, 766, 76, 537, 4, 156], [360, 671, 868, 928, 838, 705, 359, 128, 397, 793, 696, 194, 904, 174, 818, 833, 48], [789, 821, 540, 10, 356, 267, 847, 783, 914, 391, 93, 977, 426, 780, 755, 35, 914], [862, 389, 478, 904, 272, 512, 567, 469, 802, 492, 300, 137, 908, 585, 72, 928, 133], [29, 33, 792, 193, 910, 404, 972, 524, 301, 32, 385, 813, 353, 322, 112, 606, 138], [930, 878, 888, 703, 28, 422, 72, 939, 971, 551, 49, 363, 45, 723, 659, 553, 133]]), [536, 275, 747, 8, 428, 685, 425, 412, 645, 533, 654, 886, 275, 373, 341, 70, 650, 619, 587, 266, 311, 826, 471, 230, 626, 447, 812, 156, 48, 914, 133, 138, 133, 553, 659, 723, 45, 363, 49, 551, 971, 939, 72, 422, 28, 703, 888, 878, 930, 29, 862, 789, 360, 432, 629, 382, 943, 589, 5, 59, 144, 409, 518, 756, 413, 436, 934, 70, 645, 837, 399, 729, 158, 115, 212, 529, 627, 892, 58, 934, 486, 232, 695, 243, 571, 890, 273, 179, 4, 833, 35, 928, 606, 112, 322, 353, 813, 385, 32, 301, 524, 972, 404, 910, 193, 792, 33, 389, 821, 671, 535, 814, 736, 385, 24, 889, 581, 220, 521, 780, 787, 240, 167, 877, 45, 186, 204, 22, 90, 292, 440, 612, 569, 806, 908, 878, 246, 340, 905, 419, 713, 537, 818, 755, 72, 585, 908, 137, 300, 492, 802, 469, 567, 512, 272, 904, 478, 540, 868, 53, 94, 909, 307, 469, 628, 843, 975, 219, 974, 972, 466, 222, 367, 656, 763, 432, 42, 652, 251, 748, 171, 275, 831, 267, 649, 32, 76, 174, 780, 426, 977, 93, 391, 914, 783, 847, 267, 356, 10, 928, 10, 606, 496, 46, 290, 878, 66, 993, 678, 28, 287, 838, 236, 632, 211, 508, 380, 915, 971, 459, 487, 434, 232, 766, 904, 194, 696, 793, 397, 128, 359, 705, 838, 658, 640, 936, 800, 96, 997, 293, 134, 177, 377, 903, 109, 289, 797, 454, 50, 960, 225, 249, 797, 173, 716, 830, 61, 431, 475, 272, 828, 569, 747, 251, 772, 414, 963, 863, 628, 578, 786, 477, 552, 327, 421, 589, 12, 684, 449, 174, 213, 135, 156, 355, 589, 44, 105, 634, 899]) def test_snail_081(self): self.assertEqual(snail([[350, 303, 624, 66, 319, 723, 677], [44, 616, 64, 859, 683, 425, 556], [551, 592, 382, 678, 823, 63, 881], [956, 8, 601, 384, 191, 811, 32], [815, 931, 592, 1, 230, 786, 446], [597, 948, 908, 590, 858, 850, 974], [533, 204, 906, 134, 27, 882, 14]]), [350, 303, 624, 66, 319, 723, 677, 556, 881, 32, 446, 974, 14, 882, 27, 134, 906, 204, 533, 597, 815, 956, 551, 44, 616, 64, 859, 683, 425, 63, 811, 786, 850, 858, 590, 908, 948, 931, 8, 592, 382, 678, 823, 191, 230, 1, 592, 601, 384]) def test_snail_082(self): self.assertEqual(snail([[232, 617, 922, 488, 792, 289, 488, 451, 844, 714, 179, 844, 377, 576, 242], [638, 339, 530, 807, 417, 862, 71, 352, 963, 49, 822, 978, 162, 924, 461], [148, 636, 263, 858, 140, 630, 654, 304, 258, 412, 64, 1, 326, 311, 284], [573, 758, 197, 133, 766, 783, 550, 324, 290, 293, 337, 479, 415, 587, 133], [798, 60, 844, 834, 303, 77, 121, 339, 885, 691, 848, 272, 484, 758, 485], [364, 590, 109, 407, 502, 59, 341, 166, 109, 382, 90, 226, 362, 299, 761], [308, 771, 541, 867, 867, 886, 671, 302, 894, 517, 713, 570, 682, 603, 209], [512, 975, 223, 313, 340, 376, 751, 76, 332, 80, 81, 581, 401, 768, 373], [933, 400, 289, 659, 875, 869, 5, 606, 314, 989, 494, 403, 925, 341, 839], [470, 504, 721, 26, 765, 821, 985, 750, 905, 938, 975, 950, 288, 196, 603], [977, 989, 127, 507, 747, 679, 671, 797, 819, 775, 439, 994, 870, 970, 164], [761, 489, 634, 539, 499, 48, 61, 515, 675, 8, 194, 621, 828, 638, 801], [366, 575, 629, 798, 838, 201, 769, 989, 507, 142, 3, 561, 225, 282, 604], [122, 776, 797, 161, 244, 963, 385, 715, 120, 321, 752, 489, 233, 904, 843], [739, 637, 324, 232, 751, 507, 800, 548, 486, 781, 554, 267, 721, 845, 6]]), [232, 617, 922, 488, 792, 289, 488, 451, 844, 714, 179, 844, 377, 576, 242, 461, 284, 133, 485, 761, 209, 373, 839, 603, 164, 801, 604, 843, 6, 845, 721, 267, 554, 781, 486, 548, 800, 507, 751, 232, 324, 637, 739, 122, 366, 761, 977, 470, 933, 512, 308, 364, 798, 573, 148, 638, 339, 530, 807, 417, 862, 71, 352, 963, 49, 822, 978, 162, 924, 311, 587, 758, 299, 603, 768, 341, 196, 970, 638, 282, 904, 233, 489, 752, 321, 120, 715, 385, 963, 244, 161, 797, 776, 575, 489, 989, 504, 400, 975, 771, 590, 60, 758, 636, 263, 858, 140, 630, 654, 304, 258, 412, 64, 1, 326, 415, 484, 362, 682, 401, 925, 288, 870, 828, 225, 561, 3, 142, 507, 989, 769, 201, 838, 798, 629, 634, 127, 721, 289, 223, 541, 109, 844, 197, 133, 766, 783, 550, 324, 290, 293, 337, 479, 272, 226, 570, 581, 403, 950, 994, 621, 194, 8, 675, 515, 61, 48, 499, 539, 507, 26, 659, 313, 867, 407, 834, 303, 77, 121, 339, 885, 691, 848, 90, 713, 81, 494, 975, 439, 775, 819, 797, 671, 679, 747, 765, 875, 340, 867, 502, 59, 341, 166, 109, 382, 517, 80, 989, 938, 905, 750, 985, 821, 869, 376, 886, 671, 302, 894, 332, 314, 606, 5, 751, 76]) def test_snail_083(self): self.assertEqual(snail([[144, 568, 21, 727, 740, 122, 743, 378, 519, 294, 987, 449, 688, 91], [552, 330, 129, 484, 303, 770, 794, 409, 32, 995, 764, 458, 386, 946], [232, 385, 662, 477, 897, 597, 969, 609, 361, 529, 422, 18, 645, 653], [819, 179, 340, 828, 667, 374, 420, 151, 671, 281, 326, 381, 172, 12], [695, 954, 432, 746, 292, 212, 544, 792, 75, 976, 26, 534, 887, 349], [313, 163, 954, 749, 295, 980, 883, 133, 74, 156, 703, 232, 232, 743], [417, 501, 155, 131, 331, 691, 333, 873, 964, 12, 447, 684, 455, 434], [135, 141, 836, 947, 767, 389, 477, 646, 470, 281, 296, 182, 898, 681], [373, 491, 318, 425, 872, 981, 276, 414, 883, 170, 585, 494, 993, 789], [419, 172, 127, 49, 377, 384, 279, 958, 572, 535, 777, 121, 226, 728], [683, 986, 545, 205, 129, 816, 117, 474, 159, 577, 380, 149, 42, 360], [317, 525, 283, 558, 762, 813, 230, 435, 944, 500, 260, 211, 728, 666], [858, 49, 772, 565, 195, 376, 938, 653, 992, 54, 819, 552, 93, 486], [246, 99, 795, 769, 705, 916, 422, 117, 882, 41, 23, 612, 426, 556]]), [144, 568, 21, 727, 740, 122, 743, 378, 519, 294, 987, 449, 688, 91, 946, 653, 12, 349, 743, 434, 681, 789, 728, 360, 666, 486, 556, 426, 612, 23, 41, 882, 117, 422, 916, 705, 769, 795, 99, 246, 858, 317, 683, 419, 373, 135, 417, 313, 695, 819, 232, 552, 330, 129, 484, 303, 770, 794, 409, 32, 995, 764, 458, 386, 645, 172, 887, 232, 455, 898, 993, 226, 42, 728, 93, 552, 819, 54, 992, 653, 938, 376, 195, 565, 772, 49, 525, 986, 172, 491, 141, 501, 163, 954, 179, 385, 662, 477, 897, 597, 969, 609, 361, 529, 422, 18, 381, 534, 232, 684, 182, 494, 121, 149, 211, 260, 500, 944, 435, 230, 813, 762, 558, 283, 545, 127, 318, 836, 155, 954, 432, 340, 828, 667, 374, 420, 151, 671, 281, 326, 26, 703, 447, 296, 585, 777, 380, 577, 159, 474, 117, 816, 129, 205, 49, 425, 947, 131, 749, 746, 292, 212, 544, 792, 75, 976, 156, 12, 281, 170, 535, 572, 958, 279, 384, 377, 872, 767, 331, 295, 980, 883, 133, 74, 964, 470, 883, 414, 276, 981, 389, 691, 333, 873, 646, 477]) def test_snail_084(self): self.assertEqual(snail([[189, 117, 130, 56, 993, 906, 843, 983, 823, 485, 420, 275, 333, 394, 68, 33], [818, 830, 502, 978, 273, 428, 157, 621, 121, 411, 509, 279, 263, 56, 108, 82], [632, 484, 962, 408, 95, 161, 463, 823, 500, 110, 616, 113, 355, 800, 916, 304], [146, 217, 702, 32, 929, 794, 249, 734, 284, 757, 354, 826, 842, 992, 651, 820], [644, 413, 389, 168, 871, 136, 95, 987, 101, 790, 634, 771, 802, 35, 528, 248], [636, 81, 890, 390, 966, 16, 584, 150, 112, 563, 432, 522, 231, 817, 111, 490], [572, 77, 887, 337, 985, 822, 83, 788, 986, 767, 996, 442, 328, 24, 906, 496], [889, 781, 904, 723, 475, 507, 809, 682, 839, 436, 614, 415, 490, 892, 778, 879], [423, 699, 788, 677, 630, 121, 568, 397, 366, 495, 850, 43, 181, 296, 671, 181], [849, 828, 840, 490, 665, 921, 666, 346, 315, 287, 347, 527, 346, 38, 599, 743], [196, 68, 364, 681, 321, 104, 86, 948, 393, 201, 470, 539, 459, 60, 156, 742], [820, 525, 485, 892, 653, 694, 287, 887, 729, 75, 466, 354, 568, 850, 732, 654], [670, 174, 472, 262, 890, 410, 362, 234, 335, 92, 451, 167, 706, 177, 955, 612], [647, 138, 198, 265, 541, 673, 41, 818, 564, 863, 932, 552, 245, 71, 535, 289], [626, 514, 854, 694, 783, 469, 674, 473, 537, 157, 546, 891, 615, 399, 547, 699], [662, 868, 468, 922, 99, 268, 120, 280, 983, 586, 712, 206, 750, 43, 640, 116]]), [189, 117, 130, 56, 993, 906, 843, 983, 823, 485, 420, 275, 333, 394, 68, 33, 82, 304, 820, 248, 490, 496, 879, 181, 743, 742, 654, 612, 289, 699, 116, 640, 43, 750, 206, 712, 586, 983, 280, 120, 268, 99, 922, 468, 868, 662, 626, 647, 670, 820, 196, 849, 423, 889, 572, 636, 644, 146, 632, 818, 830, 502, 978, 273, 428, 157, 621, 121, 411, 509, 279, 263, 56, 108, 916, 651, 528, 111, 906, 778, 671, 599, 156, 732, 955, 535, 547, 399, 615, 891, 546, 157, 537, 473, 674, 469, 783, 694, 854, 514, 138, 174, 525, 68, 828, 699, 781, 77, 81, 413, 217, 484, 962, 408, 95, 161, 463, 823, 500, 110, 616, 113, 355, 800, 992, 35, 817, 24, 892, 296, 38, 60, 850, 177, 71, 245, 552, 932, 863, 564, 818, 41, 673, 541, 265, 198, 472, 485, 364, 840, 788, 904, 887, 890, 389, 702, 32, 929, 794, 249, 734, 284, 757, 354, 826, 842, 802, 231, 328, 490, 181, 346, 459, 568, 706, 167, 451, 92, 335, 234, 362, 410, 890, 262, 892, 681, 490, 677, 723, 337, 390, 168, 871, 136, 95, 987, 101, 790, 634, 771, 522, 442, 415, 43, 527, 539, 354, 466, 75, 729, 887, 287, 694, 653, 321, 665, 630, 475, 985, 966, 16, 584, 150, 112, 563, 432, 996, 614, 850, 347, 470, 201, 393, 948, 86, 104, 921, 121, 507, 822, 83, 788, 986, 767, 436, 495, 287, 315, 346, 666, 568, 809, 682, 839, 366, 397]) def test_snail_085(self): self.assertEqual(snail([[830, 253, 625, 973, 491, 433, 340, 950, 941], [594, 74, 780, 39, 840, 620, 979, 117, 869], [382, 233, 384, 673, 659, 501, 886, 415, 947], [608, 73, 246, 530, 429, 506, 573, 552, 505], [482, 346, 767, 910, 939, 200, 398, 831, 979], [382, 723, 528, 936, 648, 300, 650, 564, 823], [68, 395, 220, 265, 125, 912, 658, 384, 764], [934, 378, 160, 882, 201, 23, 74, 287, 899], [927, 183, 846, 677, 44, 118, 611, 685, 902]]), [830, 253, 625, 973, 491, 433, 340, 950, 941, 869, 947, 505, 979, 823, 764, 899, 902, 685, 611, 118, 44, 677, 846, 183, 927, 934, 68, 382, 482, 608, 382, 594, 74, 780, 39, 840, 620, 979, 117, 415, 552, 831, 564, 384, 287, 74, 23, 201, 882, 160, 378, 395, 723, 346, 73, 233, 384, 673, 659, 501, 886, 573, 398, 650, 658, 912, 125, 265, 220, 528, 767, 246, 530, 429, 506, 200, 300, 648, 936, 910, 939]) def test_snail_086(self): self.assertEqual(snail([[138, 741, 417, 159, 204, 874, 124, 662, 424, 454, 485, 437, 98, 149, 674, 523, 367], [743, 936, 693, 93, 718, 309, 249, 664, 820, 647, 450, 8, 94, 521, 633, 704, 11], [111, 422, 331, 297, 369, 809, 16, 991, 98, 871, 429, 887, 906, 706, 16, 576, 635], [897, 820, 362, 595, 369, 495, 206, 231, 632, 842, 225, 550, 663, 364, 556, 586, 890], [370, 949, 756, 447, 637, 326, 862, 636, 342, 228, 582, 876, 52, 210, 298, 922, 59], [842, 58, 731, 756, 306, 879, 101, 280, 670, 612, 636, 200, 613, 915, 21, 756, 625], [22, 850, 811, 476, 515, 485, 579, 707, 730, 343, 492, 324, 588, 692, 954, 339, 674], [851, 681, 842, 320, 85, 795, 471, 779, 259, 472, 217, 985, 410, 371, 408, 401, 649], [581, 45, 563, 964, 455, 888, 78, 345, 479, 891, 302, 874, 477, 740, 634, 339, 13], [794, 39, 180, 191, 463, 573, 704, 333, 920, 508, 373, 622, 378, 615, 1, 778, 186], [850, 537, 431, 4, 427, 172, 687, 344, 35, 847, 745, 818, 394, 935, 796, 428, 562], [487, 80, 446, 506, 159, 277, 773, 958, 222, 805, 906, 369, 807, 59, 834, 866, 923], [169, 750, 548, 544, 7, 987, 629, 344, 516, 916, 352, 303, 926, 466, 44, 635, 703], [956, 621, 626, 932, 280, 837, 977, 529, 761, 567, 636, 162, 415, 12, 347, 336, 835], [544, 924, 11, 155, 311, 602, 943, 30, 742, 627, 21, 905, 443, 295, 369, 462, 617], [445, 648, 244, 728, 706, 492, 740, 402, 226, 605, 748, 201, 717, 135, 785, 306, 535], [827, 874, 302, 890, 902, 317, 511, 214, 761, 852, 180, 653, 300, 780, 147, 744, 661]]), [138, 741, 417, 159, 204, 874, 124, 662, 424, 454, 485, 437, 98, 149, 674, 523, 367, 11, 635, 890, 59, 625, 674, 649, 13, 186, 562, 923, 703, 835, 617, 535, 661, 744, 147, 780, 300, 653, 180, 852, 761, 214, 511, 317, 902, 890, 302, 874, 827, 445, 544, 956, 169, 487, 850, 794, 581, 851, 22, 842, 370, 897, 111, 743, 936, 693, 93, 718, 309, 249, 664, 820, 647, 450, 8, 94, 521, 633, 704, 576, 586, 922, 756, 339, 401, 339, 778, 428, 866, 635, 336, 462, 306, 785, 135, 717, 201, 748, 605, 226, 402, 740, 492, 706, 728, 244, 648, 924, 621, 750, 80, 537, 39, 45, 681, 850, 58, 949, 820, 422, 331, 297, 369, 809, 16, 991, 98, 871, 429, 887, 906, 706, 16, 556, 298, 21, 954, 408, 634, 1, 796, 834, 44, 347, 369, 295, 443, 905, 21, 627, 742, 30, 943, 602, 311, 155, 11, 626, 548, 446, 431, 180, 563, 842, 811, 731, 756, 362, 595, 369, 495, 206, 231, 632, 842, 225, 550, 663, 364, 210, 915, 692, 371, 740, 615, 935, 59, 466, 12, 415, 162, 636, 567, 761, 529, 977, 837, 280, 932, 544, 506, 4, 191, 964, 320, 476, 756, 447, 637, 326, 862, 636, 342, 228, 582, 876, 52, 613, 588, 410, 477, 378, 394, 807, 926, 303, 352, 916, 516, 344, 629, 987, 7, 159, 427, 463, 455, 85, 515, 306, 879, 101, 280, 670, 612, 636, 200, 324, 985, 874, 622, 818, 369, 906, 805, 222, 958, 773, 277, 172, 573, 888, 795, 485, 579, 707, 730, 343, 492, 217, 302, 373, 745, 847, 35, 344, 687, 704, 78, 471, 779, 259, 472, 891, 508, 920, 333, 345, 479]) def test_snail_087(self): self.assertEqual(snail([[525, 36, 964], [45, 650, 15], [487, 52, 333]]), [525, 36, 964, 15, 333, 52, 487, 45, 650]) def test_snail_088(self): self.assertEqual(snail( [[708, 433, 591, 277, 518, 564, 794, 454, 666, 595, 254, 870], [886, 628, 399, 222, 594, 65, 44, 567, 666, 356, 421, 594], [612, 162, 307, 42, 245, 10, 620, 187, 413, 350, 972, 964], [669, 577, 98, 332, 950, 236, 393, 682, 764, 432, 849, 338], [495, 741, 186, 613, 557, 277, 861, 390, 228, 247, 535, 87], [485, 401, 526, 512, 170, 157, 575, 284, 814, 215, 897, 797], [447, 679, 519, 8, 329, 991, 568, 414, 967, 643, 213, 426], [139, 739, 730, 456, 961, 236, 501, 409, 293, 812, 141, 773], [930, 834, 528, 146, 556, 677, 991, 143, 911, 118, 301, 165], [467, 666, 632, 210, 394, 124, 348, 615, 620, 216, 340, 549], [116, 624, 238, 45, 716, 894, 380, 921, 708, 998, 910, 844], [790, 25, 61, 218, 901, 200, 833, 57, 472, 464, 523, 573]]), [708, 433, 591, 277, 518, 564, 794, 454, 666, 595, 254, 870, 594, 964, 338, 87, 797, 426, 773, 165, 549, 844, 573, 523, 464, 472, 57, 833, 200, 901, 218, 61, 25, 790, 116, 467, 930, 139, 447, 485, 495, 669, 612, 886, 628, 399, 222, 594, 65, 44, 567, 666, 356, 421, 972, 849, 535, 897, 213, 141, 301, 340, 910, 998, 708, 921, 380, 894, 716, 45, 238, 624, 666, 834, 739, 679, 401, 741, 577, 162, 307, 42, 245, 10, 620, 187, 413, 350, 432, 247, 215, 643, 812, 118, 216, 620, 615, 348, 124, 394, 210, 632, 528, 730, 519, 526, 186, 98, 332, 950, 236, 393, 682, 764, 228, 814, 967, 293, 911, 143, 991, 677, 556, 146, 456, 8, 512, 613, 557, 277, 861, 390, 284, 414, 409, 501, 236, 961, 329, 170, 157, 575, 568, 991]) def test_snail_089(self): self.assertEqual(snail([[293, 385, 292, 757, 361, 655, 659, 966, 615, 684, 335, 393, 474], [478, 315, 712, 147, 750, 338, 9, 707, 159, 91, 170, 85, 27], [499, 881, 299, 789, 431, 756, 734, 872, 384, 26, 520, 489, 819], [801, 283, 442, 398, 640, 355, 827, 403, 368, 238, 481, 404, 108], [295, 858, 223, 425, 139, 752, 720, 679, 43, 976, 817, 77, 607], [877, 392, 230, 626, 447, 760, 462, 860, 519, 976, 935, 473, 237], [341, 760, 55, 653, 403, 84, 673, 64, 997, 241, 957, 851, 858], [946, 296, 603, 287, 348, 837, 508, 741, 461, 920, 693, 131, 343], [584, 127, 8, 16, 54, 563, 356, 193, 904, 812, 588, 915, 556], [318, 934, 918, 261, 821, 590, 962, 870, 590, 99, 658, 259, 484], [350, 129, 627, 13, 625, 760, 268, 552, 427, 303, 818, 860, 190], [944, 524, 876, 51, 827, 34, 526, 269, 903, 5, 902, 246, 609], [51, 555, 781, 892, 378, 981, 385, 744, 956, 684, 390, 384, 689]]), [293, 385, 292, 757, 361, 655, 659, 966, 615, 684, 335, 393, 474, 27, 819, 108, 607, 237, 858, 343, 556, 484, 190, 609, 689, 384, 390, 684, 956, 744, 385, 981, 378, 892, 781, 555, 51, 944, 350, 318, 584, 946, 341, 877, 295, 801, 499, 478, 315, 712, 147, 750, 338, 9, 707, 159, 91, 170, 85, 489, 404, 77, 473, 851, 131, 915, 259, 860, 246, 902, 5, 903, 269, 526, 34, 827, 51, 876, 524, 129, 934, 127, 296, 760, 392, 858, 283, 881, 299, 789, 431, 756, 734, 872, 384, 26, 520, 481, 817, 935, 957, 693, 588, 658, 818, 303, 427, 552, 268, 760, 625, 13, 627, 918, 8, 603, 55, 230, 223, 442, 398, 640, 355, 827, 403, 368, 238, 976, 976, 241, 920, 812, 99, 590, 870, 962, 590, 821, 261, 16, 287, 653, 626, 425, 139, 752, 720, 679, 43, 519, 997, 461, 904, 193, 356, 563, 54, 348, 403, 447, 760, 462, 860, 64, 741, 508, 837, 84, 673]) def test_snail_090(self): self.assertEqual(snail( [[232, 704, 47, 593, 30, 394, 932, 781, 504, 760], [319, 806, 940, 647, 412, 710, 335, 109, 34, 130], [447, 743, 128, 497, 547, 155, 153, 676, 930, 401], [502, 42, 815, 824, 166, 627, 893, 500, 753, 136], [343, 384, 627, 328, 944, 841, 583, 899, 598, 558], [260, 468, 889, 544, 526, 498, 749, 87, 741, 862], [323, 885, 390, 955, 965, 997, 974, 210, 611, 890], [598, 888, 146, 717, 118, 63, 858, 484, 310, 265], [825, 98, 520, 519, 70, 602, 698, 662, 73, 902], [53, 156, 588, 118, 981, 519, 39, 536, 147, 295]]), [232, 704, 47, 593, 30, 394, 932, 781, 504, 760, 130, 401, 136, 558, 862, 890, 265, 902, 295, 147, 536, 39, 519, 981, 118, 588, 156, 53, 825, 598, 323, 260, 343, 502, 447, 319, 806, 940, 647, 412, 710, 335, 109, 34, 930, 753, 598, 741, 611, 310, 73, 662, 698, 602, 70, 519, 520, 98, 888, 885, 468, 384, 42, 743, 128, 497, 547, 155, 153, 676, 500, 899, 87, 210, 484, 858, 63, 118, 717, 146, 390, 889, 627, 815, 824, 166, 627, 893, 583, 749, 974, 997, 965, 955, 544, 328, 944, 841, 498, 526]) def test_snail_091(self): self.assertEqual(snail([[143, 117, 15, 361, 949, 412, 30, 789, 293], [517, 943, 527, 914, 119, 984, 619, 878, 694], [548, 939, 625, 550, 787, 169, 633, 216, 84], [649, 772, 533, 591, 101, 87, 115, 248, 263], [650, 436, 659, 76, 395, 878, 470, 424, 7], [218, 861, 265, 632, 294, 34, 433, 364, 370], [164, 390, 869, 489, 226, 371, 295, 776, 503], [424, 284, 985, 209, 70, 146, 636, 797, 176], [951, 264, 54, 144, 844, 301, 390, 678, 639]]), [143, 117, 15, 361, 949, 412, 30, 789, 293, 694, 84, 263, 7, 370, 503, 176, 639, 678, 390, 301, 844, 144, 54, 264, 951, 424, 164, 218, 650, 649, 548, 517, 943, 527, 914, 119, 984, 619, 878, 216, 248, 424, 364, 776, 797, 636, 146, 70, 209, 985, 284, 390, 861, 436, 772, 939, 625, 550, 787, 169, 633, 115, 470, 433, 295, 371, 226, 489, 869, 265, 659, 533, 591, 101, 87, 878, 34, 294, 632, 76, 395]) def test_snail_092(self): self.assertEqual(snail([[746, 798, 736, 433, 822, 82, 487, 32, 500, 717, 52, 320, 238, 1, 529, 973, 97, 6], [37, 761, 26, 63, 86, 770, 670, 899, 738, 619, 967, 959, 663, 317, 395, 302, 45, 8], [316, 296, 58, 653, 99, 271, 767, 122, 344, 644, 604, 617, 566, 441, 699, 287, 775, 950], [60, 610, 295, 13, 143, 480, 575, 808, 896, 416, 919, 970, 163, 38, 726, 482, 18, 940], [62, 758, 907, 148, 994, 42, 547, 843, 296, 348, 625, 884, 823, 148, 682, 358, 627, 792], [259, 128, 820, 772, 767, 852, 3, 331, 540, 196, 560, 312, 291, 376, 162, 666, 420, 426], [3, 362, 144, 383, 219, 657, 301, 113, 46, 771, 132, 697, 38, 486, 299, 218, 254, 692], [397, 76, 152, 653, 161, 199, 721, 574, 729, 810, 383, 223, 626, 96, 817, 872, 945, 220], [961, 967, 364, 568, 958, 566, 517, 693, 841, 509, 751, 713, 888, 764, 200, 16, 501, 524], [195, 523, 624, 652, 113, 281, 983, 472, 482, 681, 206, 733, 742, 985, 226, 207, 699, 575], [533, 22, 231, 758, 951, 649, 867, 381, 734, 538, 733, 814, 392, 86, 322, 758, 550, 42], [775, 777, 347, 884, 298, 126, 826, 595, 151, 560, 119, 375, 416, 94, 245, 659, 238, 229], [562, 956, 429, 47, 922, 974, 953, 624, 583, 40, 507, 752, 446, 779, 788, 952, 354, 798], [495, 809, 528, 500, 277, 35, 827, 486, 12, 453, 73, 91, 129, 810, 828, 698, 401, 824], [549, 11, 22, 952, 943, 177, 372, 535, 785, 315, 879, 864, 606, 945, 720, 960, 997, 482], [810, 804, 171, 44, 552, 317, 293, 863, 71, 416, 294, 995, 267, 152, 973, 777, 936, 790], [264, 874, 485, 179, 373, 496, 786, 520, 437, 363, 619, 97, 895, 21, 9, 170, 757, 855], [699, 372, 806, 630, 759, 884, 175, 149, 192, 684, 457, 237, 46, 938, 845, 207, 265, 114]]), [746, 798, 736, 433, 822, 82, 487, 32, 500, 717, 52, 320, 238, 1, 529, 973, 97, 6, 8, 950, 940, 792, 426, 692, 220, 524, 575, 42, 229, 798, 824, 482, 790, 855, 114, 265, 207, 845, 938, 46, 237, 457, 684, 192, 149, 175, 884, 759, 630, 806, 372, 699, 264, 810, 549, 495, 562, 775, 533, 195, 961, 397, 3, 259, 62, 60, 316, 37, 761, 26, 63, 86, 770, 670, 899, 738, 619, 967, 959, 663, 317, 395, 302, 45, 775, 18, 627, 420, 254, 945, 501, 699, 550, 238, 354, 401, 997, 936, 757, 170, 9, 21, 895, 97, 619, 363, 437, 520, 786, 496, 373, 179, 485, 874, 804, 11, 809, 956, 777, 22, 523, 967, 76, 362, 128, 758, 610, 296, 58, 653, 99, 271, 767, 122, 344, 644, 604, 617, 566, 441, 699, 287, 482, 358, 666, 218, 872, 16, 207, 758, 659, 952, 698, 960, 777, 973, 152, 267, 995, 294, 416, 71, 863, 293, 317, 552, 44, 171, 22, 528, 429, 347, 231, 624, 364, 152, 144, 820, 907, 295, 13, 143, 480, 575, 808, 896, 416, 919, 970, 163, 38, 726, 682, 162, 299, 817, 200, 226, 322, 245, 788, 828, 720, 945, 606, 864, 879, 315, 785, 535, 372, 177, 943, 952, 500, 47, 884, 758, 652, 568, 653, 383, 772, 148, 994, 42, 547, 843, 296, 348, 625, 884, 823, 148, 376, 486, 96, 764, 985, 86, 94, 779, 810, 129, 91, 73, 453, 12, 486, 827, 35, 277, 922, 298, 951, 113, 958, 161, 219, 767, 852, 3, 331, 540, 196, 560, 312, 291, 38, 626, 888, 742, 392, 416, 446, 752, 507, 40, 583, 624, 953, 974, 126, 649, 281, 566, 199, 657, 301, 113, 46, 771, 132, 697, 223, 713, 733, 814, 375, 119, 560, 151, 595, 826, 867, 983, 517, 721, 574, 729, 810, 383, 751, 206, 733, 538, 734, 381, 472, 693, 841, 509, 681, 482]) def test_snail_093(self): self.assertEqual(snail( [[600, 705, 630, 641, 878], [29, 799, 688, 274, 954], [642, 533, 486, 590, 446], [386, 706, 769, 884, 88], [40, 949, 713, 263, 542]]), [600, 705, 630, 641, 878, 954, 446, 88, 542, 263, 713, 949, 40, 386, 642, 29, 799, 688, 274, 590, 884, 769, 706, 533, 486]) def test_snail_094(self): self.assertEqual(snail([[907, 736, 956, 378, 282, 128, 890, 360, 476, 774, 662, 76, 440, 146, 260, 503, 594, 753, 601, 758], [154, 508, 696, 345, 591, 993, 883, 517, 744, 441, 519, 59, 241, 932, 612, 853, 681, 580, 189, 616], [252, 776, 960, 174, 414, 719, 865, 586, 514, 147, 885, 941, 624, 902, 920, 281, 788, 666, 645, 885], [449, 571, 489, 461, 175, 497, 36, 529, 700, 833, 843, 360, 129, 148, 858, 887, 601, 368, 850, 693], [490, 627, 711, 829, 183, 271, 1, 656, 384, 296, 344, 478, 251, 806, 930, 50, 586, 526, 851, 77], [567, 200, 336, 555, 849, 867, 680, 585, 750, 865, 85, 520, 229, 438, 712, 500, 846, 37, 795, 591], [861, 605, 491, 552, 577, 316, 923, 18, 304, 237, 105, 132, 420, 458, 716, 500, 745, 488, 419, 900], [212, 651, 759, 532, 972, 701, 178, 862, 383, 683, 647, 361, 804, 619, 203, 834, 177, 789, 648, 172], [824, 811, 117, 519, 107, 371, 638, 841, 931, 397, 381, 19, 625, 501, 644, 332, 421, 616, 9, 451], [626, 774, 505, 848, 925, 320, 635, 85, 491, 700, 980, 154, 778, 639, 893, 455, 491, 23, 488, 902], [842, 984, 751, 823, 776, 261, 411, 239, 490, 828, 123, 248, 555, 308, 340, 997, 464, 901, 931, 278], [826, 354, 702, 996, 583, 195, 939, 381, 649, 830, 991, 167, 337, 328, 237, 120, 678, 64, 943, 232], [393, 920, 761, 889, 953, 112, 493, 891, 517, 937, 212, 549, 37, 800, 902, 200, 45, 958, 400, 609], [190, 982, 178, 364, 881, 102, 889, 873, 976, 191, 973, 742, 680, 718, 585, 924, 638, 936, 62, 644], [565, 513, 575, 193, 561, 750, 953, 226, 691, 562, 655, 294, 877, 651, 343, 328, 599, 277, 883, 447], [224, 782, 630, 902, 677, 276, 35, 489, 941, 122, 950, 593, 808, 738, 901, 228, 621, 730, 567, 484], [252, 491, 679, 882, 157, 6, 674, 542, 384, 508, 93, 981, 502, 342, 732, 265, 135, 309, 814, 377], [609, 16, 276, 999, 676, 620, 662, 276, 598, 79, 983, 105, 959, 328, 7, 486, 112, 484, 117, 970], [592, 391, 807, 39, 654, 757, 676, 569, 589, 920, 935, 443, 821, 220, 406, 551, 649, 605, 753, 277], [474, 183, 917, 831, 371, 55, 70, 631, 827, 1, 526, 648, 466, 575, 916, 776, 237, 18, 671, 244]]), [907, 736, 956, 378, 282, 128, 890, 360, 476, 774, 662, 76, 440, 146, 260, 503, 594, 753, 601, 758, 616, 885, 693, 77, 591, 900, 172, 451, 902, 278, 232, 609, 644, 447, 484, 377, 970, 277, 244, 671, 18, 237, 776, 916, 575, 466, 648, 526, 1, 827, 631, 70, 55, 371, 831, 917, 183, 474, 592, 609, 252, 224, 565, 190, 393, 826, 842, 626, 824, 212, 861, 567, 490, 449, 252, 154, 508, 696, 345, 591, 993, 883, 517, 744, 441, 519, 59, 241, 932, 612, 853, 681, 580, 189, 645, 850, 851, 795, 419, 648, 9, 488, 931, 943, 400, 62, 883, 567, 814, 117, 753, 605, 649, 551, 406, 220, 821, 443, 935, 920, 589, 569, 676, 757, 654, 39, 807, 391, 16, 491, 782, 513, 982, 920, 354, 984, 774, 811, 651, 605, 200, 627, 571, 776, 960, 174, 414, 719, 865, 586, 514, 147, 885, 941, 624, 902, 920, 281, 788, 666, 368, 526, 37, 488, 789, 616, 23, 901, 64, 958, 936, 277, 730, 309, 484, 112, 486, 7, 328, 959, 105, 983, 79, 598, 276, 662, 620, 676, 999, 276, 679, 630, 575, 178, 761, 702, 751, 505, 117, 759, 491, 336, 711, 489, 461, 175, 497, 36, 529, 700, 833, 843, 360, 129, 148, 858, 887, 601, 586, 846, 745, 177, 421, 491, 464, 678, 45, 638, 599, 621, 135, 265, 732, 342, 502, 981, 93, 508, 384, 542, 674, 6, 157, 882, 902, 193, 364, 889, 996, 823, 848, 519, 532, 552, 555, 829, 183, 271, 1, 656, 384, 296, 344, 478, 251, 806, 930, 50, 500, 500, 834, 332, 455, 997, 120, 200, 924, 328, 228, 901, 738, 808, 593, 950, 122, 941, 489, 35, 276, 677, 561, 881, 953, 583, 776, 925, 107, 972, 577, 849, 867, 680, 585, 750, 865, 85, 520, 229, 438, 712, 716, 203, 644, 893, 340, 237, 902, 585, 343, 651, 877, 294, 655, 562, 691, 226, 953, 750, 102, 112, 195, 261, 320, 371, 701, 316, 923, 18, 304, 237, 105, 132, 420, 458, 619, 501, 639, 308, 328, 800, 718, 680, 742, 973, 191, 976, 873, 889, 493, 939, 411, 635, 638, 178, 862, 383, 683, 647, 361, 804, 625, 778, 555, 337, 37, 549, 212, 937, 517, 891, 381, 239, 85, 841, 931, 397, 381, 19, 154, 248, 167, 991, 830, 649, 490, 491, 700, 980, 123, 828]) def test_snail_095(self): self.assertEqual(snail([[247, 36, 147, 670, 85, 302, 290, 318, 625, 571, 925, 293, 329, 386, 513, 32], [886, 355, 260, 484, 589, 633, 64, 999, 160, 927, 937, 306, 722, 480, 171, 593], [243, 262, 207, 601, 850, 221, 834, 478, 394, 6, 926, 500, 705, 771, 947, 559], [894, 64, 204, 221, 196, 17, 465, 978, 251, 395, 208, 623, 457, 274, 198, 982], [826, 24, 211, 166, 285, 800, 358, 180, 336, 708, 965, 855, 607, 283, 186, 114], [177, 887, 42, 168, 420, 708, 632, 953, 929, 246, 355, 617, 576, 783, 892, 527], [393, 714, 22, 905, 724, 749, 226, 128, 689, 924, 203, 353, 502, 583, 363, 249], [633, 275, 241, 730, 109, 748, 482, 465, 672, 567, 739, 772, 677, 299, 492, 832], [701, 706, 283, 866, 551, 893, 928, 136, 822, 892, 100, 11, 686, 759, 780, 799], [818, 515, 137, 699, 122, 187, 587, 708, 819, 842, 689, 234, 229, 763, 484, 512], [770, 663, 833, 676, 994, 54, 207, 133, 444, 707, 541, 23, 588, 214, 752, 980], [121, 54, 432, 672, 767, 47, 945, 497, 433, 422, 913, 688, 703, 289, 933, 736], [80, 683, 447, 359, 245, 935, 348, 196, 118, 637, 938, 270, 532, 97, 647, 329], [385, 201, 425, 426, 579, 166, 983, 31, 646, 810, 156, 102, 151, 13, 212, 127], [677, 439, 224, 931, 557, 572, 31, 122, 107, 812, 796, 934, 956, 74, 372, 311], [807, 154, 33, 598, 333, 42, 7, 937, 312, 911, 186, 918, 962, 554, 746, 436]]), [247, 36, 147, 670, 85, 302, 290, 318, 625, 571, 925, 293, 329, 386, 513, 32, 593, 559, 982, 114, 527, 249, 832, 799, 512, 980, 736, 329, 127, 311, 436, 746, 554, 962, 918, 186, 911, 312, 937, 7, 42, 333, 598, 33, 154, 807, 677, 385, 80, 121, 770, 818, 701, 633, 393, 177, 826, 894, 243, 886, 355, 260, 484, 589, 633, 64, 999, 160, 927, 937, 306, 722, 480, 171, 947, 198, 186, 892, 363, 492, 780, 484, 752, 933, 647, 212, 372, 74, 956, 934, 796, 812, 107, 122, 31, 572, 557, 931, 224, 439, 201, 683, 54, 663, 515, 706, 275, 714, 887, 24, 64, 262, 207, 601, 850, 221, 834, 478, 394, 6, 926, 500, 705, 771, 274, 283, 783, 583, 299, 759, 763, 214, 289, 97, 13, 151, 102, 156, 810, 646, 31, 983, 166, 579, 426, 425, 447, 432, 833, 137, 283, 241, 22, 42, 211, 204, 221, 196, 17, 465, 978, 251, 395, 208, 623, 457, 607, 576, 502, 677, 686, 229, 588, 703, 532, 270, 938, 637, 118, 196, 348, 935, 245, 359, 672, 676, 699, 866, 730, 905, 168, 166, 285, 800, 358, 180, 336, 708, 965, 855, 617, 353, 772, 11, 234, 23, 688, 913, 422, 433, 497, 945, 47, 767, 994, 122, 551, 109, 724, 420, 708, 632, 953, 929, 246, 355, 203, 739, 100, 689, 541, 707, 444, 133, 207, 54, 187, 893, 748, 749, 226, 128, 689, 924, 567, 892, 842, 819, 708, 587, 928, 482, 465, 672, 822, 136]) def test_snail_096(self): self.assertEqual(snail([[433, 873, 34, 538, 182, 479, 447, 919, 491, 799, 321, 798, 96, 351, 199, 595, 384], [688, 520, 440, 10, 768, 283, 286, 980, 786, 632, 724, 772, 776, 791, 526, 902, 143], [221, 380, 963, 134, 81, 12, 212, 931, 854, 929, 258, 266, 191, 692, 975, 245, 686], [371, 60, 849, 373, 934, 222, 750, 480, 817, 384, 623, 223, 965, 716, 502, 306, 419], [137, 668, 412, 520, 759, 695, 35, 791, 512, 272, 880, 453, 79, 2, 813, 383, 715], [350, 505, 927, 713, 478, 969, 462, 3, 343, 237, 219, 780, 231, 486, 539, 82, 129], [405, 363, 901, 599, 117, 102, 317, 683, 880, 226, 757, 863, 175, 434, 903, 555, 152], [918, 331, 443, 864, 933, 126, 463, 526, 570, 243, 866, 184, 895, 478, 413, 143, 900], [976, 855, 41, 630, 829, 195, 443, 10, 447, 401, 592, 779, 213, 162, 359, 592, 496], [892, 131, 875, 900, 416, 266, 524, 162, 561, 14, 148, 103, 869, 412, 229, 490, 961], [589, 282, 373, 491, 878, 25, 541, 207, 642, 380, 971, 581, 721, 500, 135, 98, 425], [523, 846, 203, 737, 445, 213, 138, 238, 295, 272, 338, 760, 539, 354, 195, 109, 271], [948, 521, 513, 819, 497, 73, 487, 760, 899, 687, 330, 409, 476, 725, 3, 261, 101], [690, 406, 882, 6, 341, 931, 135, 659, 746, 960, 709, 42, 621, 741, 6, 444, 496], [351, 159, 223, 361, 865, 142, 82, 556, 953, 789, 642, 491, 346, 912, 262, 534, 442], [397, 421, 707, 864, 685, 406, 76, 577, 159, 210, 885, 229, 54, 617, 945, 153, 928], [778, 175, 280, 641, 290, 911, 692, 538, 48, 480, 772, 400, 119, 691, 539, 728, 27]]), [433, 873, 34, 538, 182, 479, 447, 919, 491, 799, 321, 798, 96, 351, 199, 595, 384, 143, 686, 419, 715, 129, 152, 900, 496, 961, 425, 271, 101, 496, 442, 928, 27, 728, 539, 691, 119, 400, 772, 480, 48, 538, 692, 911, 290, 641, 280, 175, 778, 397, 351, 690, 948, 523, 589, 892, 976, 918, 405, 350, 137, 371, 221, 688, 520, 440, 10, 768, 283, 286, 980, 786, 632, 724, 772, 776, 791, 526, 902, 245, 306, 383, 82, 555, 143, 592, 490, 98, 109, 261, 444, 534, 153, 945, 617, 54, 229, 885, 210, 159, 577, 76, 406, 685, 864, 707, 421, 159, 406, 521, 846, 282, 131, 855, 331, 363, 505, 668, 60, 380, 963, 134, 81, 12, 212, 931, 854, 929, 258, 266, 191, 692, 975, 502, 813, 539, 903, 413, 359, 229, 135, 195, 3, 6, 262, 912, 346, 491, 642, 789, 953, 556, 82, 142, 865, 361, 223, 882, 513, 203, 373, 875, 41, 443, 901, 927, 412, 849, 373, 934, 222, 750, 480, 817, 384, 623, 223, 965, 716, 2, 486, 434, 478, 162, 412, 500, 354, 725, 741, 621, 42, 709, 960, 746, 659, 135, 931, 341, 6, 819, 737, 491, 900, 630, 864, 599, 713, 520, 759, 695, 35, 791, 512, 272, 880, 453, 79, 231, 175, 895, 213, 869, 721, 539, 476, 409, 330, 687, 899, 760, 487, 73, 497, 445, 878, 416, 829, 933, 117, 478, 969, 462, 3, 343, 237, 219, 780, 863, 184, 779, 103, 581, 760, 338, 272, 295, 238, 138, 213, 25, 266, 195, 126, 102, 317, 683, 880, 226, 757, 866, 592, 148, 971, 380, 642, 207, 541, 524, 443, 463, 526, 570, 243, 401, 14, 561, 162, 10, 447]) def test_snail_097(self): self.assertEqual(snail( [[631, 668, 646, 712, 825], [953, 573, 100, 756, 783], [445, 553, 384, 130, 668], [157, 805, 969, 18, 304], [551, 676, 558, 200, 793]]), [631, 668, 646, 712, 825, 783, 668, 304, 793, 200, 558, 676, 551, 157, 445, 953, 573, 100, 756, 130, 18, 969, 805, 553, 384]) def test_snail_098(self): self.assertEqual(snail( [[236, 796, 566, 79, 878, 3], [813, 495, 352, 703, 329, 840], [874, 879, 560, 307, 997, 4], [596, 458, 407, 889, 536, 319], [334, 151, 460, 511, 411, 855], [144, 572, 272, 495, 545, 622]]), [236, 796, 566, 79, 878, 3, 840, 4, 319, 855, 622, 545, 495, 272, 572, 144, 334, 596, 874, 813, 495, 352, 703, 329, 997, 536, 411, 511, 460, 151, 458, 879, 560, 307, 889, 407]) def test_snail_099(self): self.assertEqual(snail( [[222, 261, 661, 331, 511, 364], [571, 689, 58, 265, 565, 413], [68, 5, 853, 541, 890, 410], [571, 71, 770, 563, 603, 521], [42, 417, 725, 971, 15, 780], [958, 98, 870, 20, 856, 994]]), [222, 261, 661, 331, 511, 364, 413, 410, 521, 780, 994, 856, 20, 870, 98, 958, 42, 571, 68, 571, 689, 58, 265, 565, 890, 603, 15, 971, 725, 417, 71, 5, 853, 541, 563, 770]) def test_snail_100(self): self.assertEqual(snail( [[641, 678, 48, 894, 850], [974, 949, 998, 825, 286], [979, 768, 792, 384, 688], [430, 622, 694, 337, 275], [494, 313, 309, 70, 415]]), [641, 678, 48, 894, 850, 286, 688, 275, 415, 70, 309, 313, 494, 430, 979, 974, 949, 998, 825, 384, 337, 694, 622, 768, 792]) def test_snail_101(self): self.assertEqual(snail( [[600, 786, 254, 655, 13], [815, 239, 774, 325, 57], [499, 747, 251, 914, 861], [605, 594, 499, 646, 290], [650, 496, 385, 387, 819]]), [600, 786, 254, 655, 13, 57, 861, 290, 819, 387, 385, 496, 650, 605, 499, 815, 239, 774, 325, 914, 646, 499, 594, 747, 251]) def test_snail_102(self): self.assertEqual(snail( [[903, 696, 410, 542, 956, 889], [381, 306, 48, 102, 268, 355], [341, 279, 537, 59, 605, 18], [909, 865, 234, 770, 206, 806], [784, 781, 945, 285, 355, 765], [100, 748, 473, 319, 150, 998]]), [903, 696, 410, 542, 956, 889, 355, 18, 806, 765, 998, 150, 319, 473, 748, 100, 784, 909, 341, 381, 306, 48, 102, 268, 605, 206, 355, 285, 945, 781, 865, 279, 537, 59, 770, 234]) def test_snail_103(self): self.assertEqual(snail([[67, 123, 678, 842, 28, 690, 189, 182, 636, 645, 118, 123, 95, 723], [119, 324, 247, 8, 860, 329, 180, 791, 92, 5, 896, 921, 157, 781], [756, 950, 738, 573, 101, 446, 468, 594, 316, 962, 708, 168, 889, 8], [301, 352, 920, 673, 245, 759, 242, 43, 761, 460, 76, 551, 315, 376], [915, 367, 345, 8, 132, 840, 451, 965, 757, 558, 94, 882, 847, 82], [949, 651, 239, 941, 544, 782, 220, 763, 384, 515, 840, 377, 809, 300], [527, 728, 875, 620, 247, 792, 385, 44, 925, 697, 947, 541, 224, 364], [824, 885, 723, 353, 77, 915, 880, 339, 809, 919, 931, 569, 980, 357], [89, 100, 893, 516, 786, 59, 365, 967, 122, 103, 55, 42, 683, 101], [281, 457, 924, 813, 624, 997, 346, 613, 116, 655, 465, 786, 936, 94], [185, 898, 588, 272, 712, 367, 435, 660, 152, 896, 792, 670, 272, 397], [891, 754, 108, 844, 44, 648, 684, 571, 201, 745, 440, 88, 511, 214], [130, 632, 977, 354, 353, 918, 736, 349, 662, 185, 31, 307, 460, 17], [910, 947, 686, 668, 857, 345, 654, 678, 27, 78, 445, 639, 130, 970]]), [67, 123, 678, 842, 28, 690, 189, 182, 636, 645, 118, 123, 95, 723, 781, 8, 376, 82, 300, 364, 357, 101, 94, 397, 214, 17, 970, 130, 639, 445, 78, 27, 678, 654, 345, 857, 668, 686, 947, 910, 130, 891, 185, 281, 89, 824, 527, 949, 915, 301, 756, 119, 324, 247, 8, 860, 329, 180, 791, 92, 5, 896, 921, 157, 889, 315, 847, 809, 224, 980, 683, 936, 272, 511, 460, 307, 31, 185, 662, 349, 736, 918, 353, 354, 977, 632, 754, 898, 457, 100, 885, 728, 651, 367, 352, 950, 738, 573, 101, 446, 468, 594, 316, 962, 708, 168, 551, 882, 377, 541, 569, 42, 786, 670, 88, 440, 745, 201, 571, 684, 648, 44, 844, 108, 588, 924, 893, 723, 875, 239, 345, 920, 673, 245, 759, 242, 43, 761, 460, 76, 94, 840, 947, 931, 55, 465, 792, 896, 152, 660, 435, 367, 712, 272, 813, 516, 353, 620, 941, 8, 132, 840, 451, 965, 757, 558, 515, 697, 919, 103, 655, 116, 613, 346, 997, 624, 786, 77, 247, 544, 782, 220, 763, 384, 925, 809, 122, 967, 365, 59, 915, 792, 385, 44, 339, 880]) def test_snail_104(self): self.assertEqual(snail( [[676, 9, 91, 957, 699, 130, 983, 164, 75, 728, 784, 125], [959, 741, 710, 154, 452, 919, 66, 444, 298, 140, 516, 760], [969, 514, 898, 621, 984, 616, 724, 738, 410, 758, 829, 482], [82, 491, 417, 173, 563, 494, 155, 763, 850, 915, 625, 396], [407, 299, 773, 4, 428, 630, 822, 484, 922, 625, 114, 116], [571, 180, 379, 284, 947, 688, 749, 312, 502, 935, 879, 166], [641, 719, 73, 623, 940, 590, 81, 644, 997, 378, 847, 501], [143, 843, 814, 259, 354, 459, 804, 43, 854, 1000, 382, 717], [602, 64, 272, 149, 285, 862, 958, 662, 556, 426, 259, 197], [341, 882, 400, 559, 227, 498, 699, 298, 354, 739, 67, 465], [43, 85, 467, 557, 614, 63, 680, 434, 937, 472, 488, 243], [978, 607, 559, 134, 531, 907, 4, 813, 259, 203, 384, 836]]), [676, 9, 91, 957, 699, 130, 983, 164, 75, 728, 784, 125, 760, 482, 396, 116, 166, 501, 717, 197, 465, 243, 836, 384, 203, 259, 813, 4, 907, 531, 134, 559, 607, 978, 43, 341, 602, 143, 641, 571, 407, 82, 969, 959, 741, 710, 154, 452, 919, 66, 444, 298, 140, 516, 829, 625, 114, 879, 847, 382, 259, 67, 488, 472, 937, 434, 680, 63, 614, 557, 467, 85, 882, 64, 843, 719, 180, 299, 491, 514, 898, 621, 984, 616, 724, 738, 410, 758, 915, 625, 935, 378, 1000, 426, 739, 354, 298, 699, 498, 227, 559, 400, 272, 814, 73, 379, 773, 417, 173, 563, 494, 155, 763, 850, 922, 502, 997, 854, 556, 662, 958, 862, 285, 149, 259, 623, 284, 4, 428, 630, 822, 484, 312, 644, 43, 804, 459, 354, 940, 947, 688, 749, 81, 590]) def test_snail_105(self): self.assertEqual(snail([[221, 977, 163, 642, 495, 250, 823, 751, 152, 681, 814, 539, 941], [468, 2, 934, 705, 319, 208, 994, 960, 167, 267, 861, 499, 535], [516, 31, 300, 893, 235, 842, 13, 44, 235, 236, 590, 711, 174], [485, 83, 36, 462, 822, 458, 963, 829, 626, 699, 602, 248, 286], [978, 561, 292, 53, 972, 119, 694, 401, 852, 589, 498, 115, 828], [737, 896, 881, 863, 502, 217, 584, 390, 621, 373, 777, 312, 425], [453, 827, 774, 783, 322, 350, 606, 786, 709, 627, 579, 314, 700], [651, 203, 681, 752, 10, 116, 64, 885, 121, 445, 385, 283, 307], [884, 35, 523, 791, 169, 338, 411, 749, 48, 662, 878, 314, 802], [137, 755, 589, 409, 870, 857, 687, 37, 818, 206, 952, 505, 337], [695, 928, 533, 370, 363, 71, 386, 823, 685, 859, 107, 313, 958], [58, 267, 988, 746, 601, 767, 701, 27, 565, 434, 734, 942, 572], [405, 442, 424, 298, 14, 428, 699, 906, 900, 928, 97, 783, 273]]), [221, 977, 163, 642, 495, 250, 823, 751, 152, 681, 814, 539, 941, 535, 174, 286, 828, 425, 700, 307, 802, 337, 958, 572, 273, 783, 97, 928, 900, 906, 699, 428, 14, 298, 424, 442, 405, 58, 695, 137, 884, 651, 453, 737, 978, 485, 516, 468, 2, 934, 705, 319, 208, 994, 960, 167, 267, 861, 499, 711, 248, 115, 312, 314, 283, 314, 505, 313, 942, 734, 434, 565, 27, 701, 767, 601, 746, 988, 267, 928, 755, 35, 203, 827, 896, 561, 83, 31, 300, 893, 235, 842, 13, 44, 235, 236, 590, 602, 498, 777, 579, 385, 878, 952, 107, 859, 685, 823, 386, 71, 363, 370, 533, 589, 523, 681, 774, 881, 292, 36, 462, 822, 458, 963, 829, 626, 699, 589, 373, 627, 445, 662, 206, 818, 37, 687, 857, 870, 409, 791, 752, 783, 863, 53, 972, 119, 694, 401, 852, 621, 709, 121, 48, 749, 411, 338, 169, 10, 322, 502, 217, 584, 390, 786, 885, 64, 116, 350, 606])

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1

0

1

0

null

0

3

9c2f576718895138632a90d08831ce15358276a1

147

py

Python

app/core/utils.py

yayunl/llfselfhelp

55994003ad51e1664a733c84ed6afcb9f28b6499

[ "MIT" ]

null

app/core/utils.py

yayunl/llfselfhelp

55994003ad51e1664a733c84ed6afcb9f28b6499

[ "MIT" ]

4

2021-04-08T21:37:08.000Z

2021-09-22T19:31:17.000Z

app/core/utils.py

yayunl/llfselfhelp

55994003ad51e1664a733c84ed6afcb9f28b6499

[ "MIT" ]

null

from django.views.generic import \ UpdateView as BaseUpdateView class UpdateView(BaseUpdateView): template_name_suffix = '_form_update'

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147

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147

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null

0

1

0

null

0

1

0

3

9c39ca309133fbcd82d6b8365784a041e4f82e97

1,391

py

Python

sklearn/utils/_bunch.py

jlopezNEU/scikit-learn

593495eebc3c2f2ffdb244036adf57fab707a47d

[ "BSD-3-Clause" ]

3

2021-09-16T14:23:46.000Z

2022-01-02T22:45:15.000Z

sklearn/utils/_bunch.py

jlopezNEU/scikit-learn

593495eebc3c2f2ffdb244036adf57fab707a47d

[ "BSD-3-Clause" ]

11

2019-11-15T04:21:29.000Z

2022-03-15T03:11:29.000Z

sklearn/utils/_bunch.py

jlopezNEU/scikit-learn

593495eebc3c2f2ffdb244036adf57fab707a47d

[ "BSD-3-Clause" ]

4

2019-11-13T15:04:46.000Z

2021-12-23T17:50:16.000Z

class Bunch(dict): """Container object exposing keys as attributes. Bunch objects are sometimes used as an output for functions and methods. They extend dictionaries by enabling values to be accessed by key, `bunch["value_key"]`, or by an attribute, `bunch.value_key`. Examples -------- >>> from sklearn.utils import Bunch >>> b = Bunch(a=1, b=2) >>> b['b'] 2 >>> b.b 2 >>> b.a = 3 >>> b['a'] 3 >>> b.c = 6 >>> b['c'] 6 """ def __init__(self, **kwargs): super().__init__(kwargs) def __setattr__(self, key, value): self[key] = value def __dir__(self): return self.keys() def __getattr__(self, key): try: return self[key] except KeyError: raise AttributeError(key) def __setstate__(self, state): # Bunch pickles generated with scikit-learn 0.16.* have an non # empty __dict__. This causes a surprising behaviour when # loading these pickles scikit-learn 0.17: reading bunch.key # uses __dict__ but assigning to bunch.key use __setattr__ and # only changes bunch['key']. More details can be found at: # https://github.com/scikit-learn/scikit-learn/issues/6196. # Overriding __setstate__ to be a noop has the effect of # ignoring the pickled __dict__ pass

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null

0

1

0

1

0

1

0

3

9c47e111b35b005c12b173bba50fdccaf56fa07f

742

py

Python

setup.py

jtauber/greek-utils

1da19a5a784c4dac9d205ae1afdc5516ddcae9b4

[ "MIT" ]

13

2016-01-18T00:39:20.000Z

2019-12-13T12:55:28.000Z

setup.py

jtauber/greek-utils

1da19a5a784c4dac9d205ae1afdc5516ddcae9b4

[ "MIT" ]

2

2016-11-01T01:11:22.000Z

2016-12-24T05:33:06.000Z

setup.py

jtauber/greek-utils

1da19a5a784c4dac9d205ae1afdc5516ddcae9b4

[ "MIT" ]

5

2016-01-17T21:28:16.000Z

2018-08-03T22:04:05.000Z

from setuptools import setup setup( name="greek-utils", version="0.2", description="various utilities for processing Ancient Greek", license="MIT", url="http://github.com/jtauber/greek-utils", author="James Tauber", author_email="[email protected]", packages=["greekutils"], classifiers=[ "Development Status :: 3 - Alpha", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Topic :: Text Processing", "Topic :: Text Processing :: Linguistic", "Topic :: Utilities", ], )

30.916667

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0.225734

0.234763

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0

null

0

1

0

null

0

1

0

3

9c62aef1446638f9fa0188683ca923feaaa75706

408

py

Python

imread/tests/test_bmp.py

luispedro/imread

7960b744623fe03e6d968893a539bca969715860

[ "MIT" ]

51

2015-01-09T14:07:37.000Z

2022-03-03T13:54:30.000Z

imread/tests/test_bmp.py

luispedro/imread

7960b744623fe03e6d968893a539bca969715860

[ "MIT" ]

16

2015-08-09T13:40:44.000Z

2020-04-14T10:01:41.000Z

imread/tests/test_bmp.py

luispedro/imread

7960b744623fe03e6d968893a539bca969715860

[ "MIT" ]

15

2015-05-22T10:41:52.000Z

2021-05-03T11:11:59.000Z

import numpy as np from imread import imread from . import file_path def test_read(): im = imread(file_path('star1.bmp')) assert np.any(im) assert im.shape == (128, 128, 3) def test_indexed(): im = imread(file_path('py-installer-indexed.bmp')) assert np.any(im) assert im.shape == (352, 162, 3) assert np.any(im[:,:,0]) assert np.any(im[:,:,1]) assert np.any(im[:,:,2])

24

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408

16

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0

null

0

1

0

null

0

1

0

3

9c68432891ca359406f39890007723907fdc1968

4,181

py

Python

test_app/settings.py

Lenders-Cooperative/Django-DocuSign

676d966065f6e1e64e1f0db9b7691b9f0c5d73a5

[ "BSD-3-Clause" ]

null

test_app/settings.py

Lenders-Cooperative/Django-DocuSign

676d966065f6e1e64e1f0db9b7691b9f0c5d73a5

[ "BSD-3-Clause" ]

null

test_app/settings.py

Lenders-Cooperative/Django-DocuSign

676d966065f6e1e64e1f0db9b7691b9f0c5d73a5

[ "BSD-3-Clause" ]

2

2021-12-03T19:40:35.000Z

2021-12-03T19:47:59.000Z

# # Created on Tue Dec 21 2021 # # Copyright (c) 2021 Lenders Cooperative, a division of Summit Technology Group, Inc. # """ Django settings for test_app project. Generated by 'django-admin startproject' using Django 3.1.7. For more information on this file, see https://docs.djangoproject.com/en/3.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.1/ref/settings/ """ from pathlib import Path import environ env = environ.Env() # Build paths inside the project like this: BASE_DIR / 'subdir'. BASE_DIR = Path(__file__).resolve().parent.parent # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/3.1/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = "uhtgm(e2y3@5%0x!wy#re#fn+51h*ck88^ocm7d1=hx^@(&7$7" # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = [ "django.contrib.admin", "django.contrib.auth", "django.contrib.contenttypes", "django.contrib.sessions", "django.contrib.messages", "django.contrib.staticfiles", "los_docusign.apps.LosDocusignConfig", "test_app.test_organization.apps.TestOrganizationConfig", "django_lc_utils", ] MIDDLEWARE = [ "django.middleware.security.SecurityMiddleware", "django.contrib.sessions.middleware.SessionMiddleware", "django.middleware.common.CommonMiddleware", "django.middleware.csrf.CsrfViewMiddleware", "django.contrib.auth.middleware.AuthenticationMiddleware", "django.contrib.messages.middleware.MessageMiddleware", "django.middleware.clickjacking.XFrameOptionsMiddleware", ] ROOT_URLCONF = "test_app.urls" TEMPLATES = [ { "BACKEND": "django.template.backends.django.DjangoTemplates", "DIRS": [], "APP_DIRS": True, "OPTIONS": { "context_processors": [ "django.template.context_processors.debug", "django.template.context_processors.request", "django.contrib.auth.context_processors.auth", "django.contrib.messages.context_processors.messages", ], }, }, ] WSGI_APPLICATION = "test_app.wsgi.application" # Database # https://docs.djangoproject.com/en/3.1/ref/settings/#databases DATABASES = { "default": { "ENGINE": "django.db.backends.postgresql_psycopg2", "NAME": "docusign_new_poc", "USER": "postgres", "PASSWORD": "admin", "HOST": "localhost", "PORT": "5432", } } # Password validation # https://docs.djangoproject.com/en/3.1/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { "NAME": "django.contrib.auth.password_validation.UserAttributeSimilarityValidator", }, { "NAME": "django.contrib.auth.password_validation.MinimumLengthValidator", }, { "NAME": "django.contrib.auth.password_validation.CommonPasswordValidator", }, { "NAME": "django.contrib.auth.password_validation.NumericPasswordValidator", }, ] # Internationalization # https://docs.djangoproject.com/en/3.1/topics/i18n/ LANGUAGE_CODE = "en-us" TIME_ZONE = "UTC" USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/3.1/howto/static-files/ STATIC_URL = "/static/" BASE_DIR = Path(__file__).resolve().parent DOCUSIGN_API_ACCOUNT_ID = env( "DOCUSIGN_API_ACCOUNT_ID", default="<Docusign API Account Id >" ) DOCUSIGN_CLIENT_ID = env("DOCUSIGN_CLIENT_ID", default="<Docusign Client Id>") DOCUSIGN_API_ENDPOINT = env( "DOCUSIGN_API_ENDPOINT", default="https://demo.docusign.net/restapi/v2.1/accounts/" ) DOCUSIGN_TOKEN_EXPIRY_IN_SECONDS = env("DOCUSIGN_TOKEN_EXPIRY_IN_SECONDS", default=3600) DOCUSIGN_AUTHORIZATION_SERVER = env( "DOCUSIGN_AUTHORIZATION_SERVER", default="account-d.docusign.com" ) DOCUSIGN_PRIVATE_KEY_FILE = env( "DOCUSIGN_PRIVATE_KEY_FILE", default="<Private Key file data>", ) DOCUSIGN_ENABLE_KBA = env("DOCUSIGN_ENABLE_KBA", default=False)

27.326797

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0.161684

4,181

152

92

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0

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0.54002

0.417184

0

1

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false

0.065934

0.021978

0

0.021978

0

null

0

1

0

1

null

0

1

0

3

9c69f20de39f2f2cbc5461ca8a9902a34b2bc1f3

165

py

Python

devopsipy/decorators.py

kharnam/devopsipy

c3379b1dd5f66e71c826045afde1702030e495d4

[ "MIT" ]

null

devopsipy/decorators.py

kharnam/devopsipy

c3379b1dd5f66e71c826045afde1702030e495d4

[ "MIT" ]

2

2018-10-31T01:43:42.000Z

2018-10-31T02:05:55.000Z

devopsipy/decorators.py

kharnam/devopsipy

c3379b1dd5f66e71c826045afde1702030e495d4

[ "MIT" ]

null

""" Module to contain Pywork decorators """ __author__ = 'sergey kharnam' import re import time import itertools import logging log = logging.getLogger(__name__)

12.692308

35

0.769697

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165

5.95

0.8

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0.151515

165

12

36

13.75

0.85

0.212121

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0.114754

0

1

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false

0

0.666667

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0

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null

0

null

0

1

0

1

0

3

9c6fcb64c497c5bc80d5ed65052770cfc9db0316

156

py

Python

env.example.py

wilcoln/klazor

8f3c40a03a7e61c07eceb6cdbe4d1bb05693727e

[ "MIT" ]

8

2020-01-18T09:33:51.000Z

2020-01-19T10:47:51.000Z

env.example.py

wilcoln/klazor

8f3c40a03a7e61c07eceb6cdbe4d1bb05693727e

[ "MIT" ]

8

2019-08-09T03:54:44.000Z

2022-02-12T16:55:51.000Z

env.example.py

wilcoln/klazor

8f3c40a03a7e61c07eceb6cdbe4d1bb05693727e

[ "MIT" ]

null

DATABASE_OPTIONS = { 'database': 'klazor', 'user': 'root', 'password': '', 'charset': 'utf8mb4', } HOSTS = ['127.0.0.1', '67.209.115.211']

17.333333

39

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156

4.5

0.888889

0

0.154472

0.211538

156

8

40

19.5

0.504065

0

0.429487

0

1

0

false

0.142857

0

1

0

null

0

1

0

null

0

1

0

3

9c70026f65fce93a4cf97730e00fb2afc1c7f5b5

818

py

Python

misc/_local_settings.py

lzantal/djskell

cef71bab8a4dd163b632128666c315e228cc8f0f

[ "MIT" ]

4

2018-08-06T19:18:03.000Z

2019-09-26T14:52:01.000Z

misc/_local_settings.py

lzantal/djskell

cef71bab8a4dd163b632128666c315e228cc8f0f

[ "MIT" ]

2

2018-08-06T19:17:57.000Z

2020-02-12T22:59:40.000Z

misc/_local_settings.py

lzantal/djskell

cef71bab8a4dd163b632128666c315e228cc8f0f

[ "MIT" ]

null

""" Django settings. Generated by 'django-admin startproject' using Django 2.2.4. For more information on this file, see https://docs.djangoproject.com/en/2.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.2/ref/settings/ """ #DEBUG = False DEBUG = True SERVE_STATIC = DEBUG ALLOWED_HOSTS = [] # Database # https://docs.djangoproject.com/en/1.11/ref/settings/#databases DATABASES = { 'default': { #'ENGINE': 'django.db.backends.oracle' #'ENGINE': 'django.db.backends.mysql', #'ENGINE': 'django.db.backends.sqlite3', 'ENGINE': 'django.db.backends.postgresql', 'NAME': 'mydatabase', 'USER': 'mydatabaseuser', 'PASSWORD': 'mypassword', 'HOST': '127.0.0.1', 'PORT': '5432', } }

24.058824

64

0.640587

102

818

5.117647

0.588235

0.091954

0.10728

0.168582

0.17433

0.122605

0

0.03177

0.191932

818

33

65

24.787879

0.757943

0.581907

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1

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0.344512

0.088415

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false

0.076923

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null

0

1

0

1

0

null

0

1

0

3

9c7c6f724eb34b62e9ef21f46c99bd86675f4bf5

295

py

Python

mixin.py

delimatorres/foodbasket

2f043d713337581be2165259cdbba4e4a24b656b

[ "Apache-2.0" ]

null

mixin.py

delimatorres/foodbasket

2f043d713337581be2165259cdbba4e4a24b656b

[ "Apache-2.0" ]

null

mixin.py

delimatorres/foodbasket

2f043d713337581be2165259cdbba4e4a24b656b

[ "Apache-2.0" ]

null

import signal class KillableProcess(object): def __init__(self): self.interrupt = False signal.signal(signal.SIGTERM, self._signal_handler) signal.signal(signal.SIGINT, self._signal_handler) def _signal_handler(self, sign, frame): self.interrupt = True

26.818182

59

0.698305

34

295

5.764706

0.470588

0.244898

0.183673

0

0.210169

295

11

60

26.818182

0.841202

0

1

0.25

false

0

0.125

0

0.5

0

null

1

0

null

0

1

0

3

9c7f2a0eaaf692b24bd48b78aa80933467348c66

80

py

Python

uts/uts_17_aut_py/2/A.py

viad00/code_olymp

90f20f9fd075e8967d02baf7554fcf24f4ae089c

[ "MIT" ]

null

uts/uts_17_aut_py/2/A.py

viad00/code_olymp

90f20f9fd075e8967d02baf7554fcf24f4ae089c

[ "MIT" ]

null

uts/uts_17_aut_py/2/A.py

viad00/code_olymp

90f20f9fd075e8967d02baf7554fcf24f4ae089c

[ "MIT" ]

null

ser = int(input()) mas = list(map(int, input().split())) mas.sort() print(*mas)

16

37

0.6125

13

80

3.769231

0.692308

0.326531

0

0.1125

80

4

38

20

0.690141

0

1

0

false

0

0.25

1

0

null

1

0

1

0

null

0

3

9c7f78a252c83665660e04bc5a8e1cea157db269

1,415

py

Python

esque_wire/protocol/serializers/api/elect_preferred_leaders_request.py

real-digital/esque-wire

eb02c49f38b89ad5e5d25aad15fb4ad795e52807

[ "MIT" ]

null

esque_wire/protocol/serializers/api/elect_preferred_leaders_request.py

real-digital/esque-wire

eb02c49f38b89ad5e5d25aad15fb4ad795e52807

[ "MIT" ]

7

2019-11-26T08:19:49.000Z

2021-03-15T14:27:47.000Z

esque_wire/protocol/serializers/api/elect_preferred_leaders_request.py

real-digital/esque-wire

eb02c49f38b89ad5e5d25aad15fb4ad795e52807

[ "MIT" ]

null

############################################################### # Autogenerated module. Please don't modify. # # Edit according file in protocol_generator/templates instead # ############################################################### from typing import Dict from ...structs.api.elect_preferred_leaders_request import ElectPreferredLeadersRequestData, TopicPartition from ._main_serializers import ArraySerializer, ClassSerializer, Schema, int32Serializer, stringSerializer topicPartitionSchemas: Dict[int, Schema] = { 0: [("topic", stringSerializer), ("partition_id", ArraySerializer(int32Serializer))] } topicPartitionSerializers: Dict[int, ClassSerializer[TopicPartition]] = { version: ClassSerializer(TopicPartition, schema) for version, schema in topicPartitionSchemas.items() } topicPartitionSerializers[-1] = topicPartitionSerializers[0] electPreferredLeadersRequestDataSchemas: Dict[int, Schema] = { 0: [("topic_partitions", ArraySerializer(topicPartitionSerializers[0])), ("timeout_ms", int32Serializer)] } electPreferredLeadersRequestDataSerializers: Dict[int, ClassSerializer[ElectPreferredLeadersRequestData]] = { version: ClassSerializer(ElectPreferredLeadersRequestData, schema) for version, schema in electPreferredLeadersRequestDataSchemas.items() } electPreferredLeadersRequestDataSerializers[-1] = electPreferredLeadersRequestDataSerializers[0]

41.617647

109

0.733569

99

1,415

10.393939

0.494949

0.027211

0.025267

0.027211

0.083576

0

0.01018

0.097527

1,415

33

110

42.878788

0.795615

0.084806

0

1

0

0.036973

0

1

0

true

0

0.166667

0

0.166667

0

1

null

0

1

0

null

0

1

0

3

92bcea551d4afd1053bbca8f841cc813051b6539

484

py

Python

apps/extensions/migrations/0012_imports_path_urlfield_to_charfield.py

StepicOrg/stepik-apps

5825bc9b2444ad4690681964d1bed172706f8796

[ "Apache-2.0" ]

5

2017-03-17T10:01:25.000Z

2018-03-23T05:56:25.000Z

apps/extensions/migrations/0012_imports_path_urlfield_to_charfield.py

StepicOrg/stepik-apps

5825bc9b2444ad4690681964d1bed172706f8796

[ "Apache-2.0" ]

4

2020-06-05T17:34:05.000Z

2021-04-19T12:58:48.000Z

apps/extensions/migrations/0012_imports_path_urlfield_to_charfield.py

StepicOrg/stepik-apps

5825bc9b2444ad4690681964d1bed172706f8796

[ "Apache-2.0" ]

2

2017-03-21T13:01:28.000Z

2017-04-27T14:33:20.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.10.6 on 2017-06-09 03:01 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('extensions', '0011_auto_20170502_0908'), ] operations = [ migrations.AlterField( model_name='extension', name='imports_path', field=models.CharField(default='imports/', max_length=255), ), ]

23.047619

71

0.630165

53

484

5.54717

0.830189

0

0.099174

0.25

484

20

72

24.2

0.710744

0.140496

0

1

0

0.150121

0.05569

0

1

0

false

0

0.307692

0

0.538462

0

null

0

1

0

null

0

1

0

1

0

3

92c39bcd73eb7b9f3010061b7c3106141036133d

111

py

Python

Coursera/Python for Everybody Specialization/Python for everybody basics/hourly rate.py

ejgarcia1991/Courses-and-other-non-professional-projects

94794dd1d6cf626de174330311e3fde4d10cd460

[ "MIT" ]

1

2021-02-19T22:33:55.000Z

Coursera/Python for Everybody Specialization/Python for everybody basics/hourly rate.py

ejgarcia1991/Courses-and-other-non-professional-projects

94794dd1d6cf626de174330311e3fde4d10cd460

[ "MIT" ]

null

Coursera/Python for Everybody Specialization/Python for everybody basics/hourly rate.py

ejgarcia1991/Courses-and-other-non-professional-projects

94794dd1d6cf626de174330311e3fde4d10cd460

[ "MIT" ]

null

hrs = input("Enter Hours:") rate = input("Enter rate:") pay = float(hrs) * float(rate) print("Pay: " +str(pay))

27.75

30

0.630631

17

111

4.117647

0.529412

0.285714

0

0.135135

111

4

31

27.75

0.729167

0

0.25

0

1

0

false

0

0.25

1

0

null

1

0

1

0

null

0

3

92d06ca78c4166453aab94fc3bfe5663b950cc53

261

py

Python

XMLHttpRequest/resources/shift-jis-html.py

watilde/web-platform-tests

97e16bef6d6599ae805521e2007a9430a12aa144

[ "BSD-3-Clause" ]

4

2020-09-09T15:28:01.000Z

2021-12-01T00:59:56.000Z

XMLHttpRequest/resources/shift-jis-html.py

watilde/web-platform-tests

97e16bef6d6599ae805521e2007a9430a12aa144

[ "BSD-3-Clause" ]

1

2021-03-31T20:23:55.000Z

XMLHttpRequest/resources/shift-jis-html.py

watilde/web-platform-tests

97e16bef6d6599ae805521e2007a9430a12aa144

[ "BSD-3-Clause" ]

1

2020-03-31T17:20:54.000Z

def main(request, response): headers = [("Content-type", "text/html;charset=shift-jis")] # Shift-JIS bytes for katakana TE SU TO ('test') content = chr(0x83) + chr(0x65) + chr(0x83) + chr(0x58) + chr(0x83) + chr(0x67); return headers, content

37.285714

85

0.636015

37

261

4.486486

0.675676

0.126506

0.180723

0

0.085308

0.191571

261

6

86

43.5

0.701422

0.176245

0

0.183099

0.126761

0

0.112676

0

1

0.25

false

0

0.5

0

null

0

1

0

1

0

null

0

1

0

3

92dadd375392924dd104471b2991098481772c78

132

py

Python

mspray/apps/reveal/__init__.py

onaio/mspray

b3e0f4b5855abbf0298de6b66f2e9f472f2bf838

[ "Apache-2.0" ]

null

mspray/apps/reveal/__init__.py

onaio/mspray

b3e0f4b5855abbf0298de6b66f2e9f472f2bf838

[ "Apache-2.0" ]

76

2018-03-15T09:37:56.000Z

2019-05-15T12:45:51.000Z

mspray/apps/reveal/__init__.py

onaio/mspray

b3e0f4b5855abbf0298de6b66f2e9f472f2bf838

[ "Apache-2.0" ]

1

2020-10-31T07:15:22.000Z

"""init module for reveal app""" # pylint: disable=invalid-name default_app_config = "mspray.apps.reveal.apps.RevealConfig" # noqa

33

67

0.757576

18

132

5.444444

0.833333

0

0.106061

132

3

68

44

0.830508

0.462121

0

0.5625

0

1

0

false

0

1

0

null

0

1

0

1

null

0

3

130f1aca25388c2ce8dd308d2bb872e5263f8305

140

py

Python

Escolas/Curso em Video/Back-End/Curso de Python/Mundos/Mundo 01/Exercicio_16.py

c4st1lh0/Projetos-de-Aula

e8abc9f4bce6cc8dbc6d7fb5da0f549ac8ef5302

[ "MIT" ]

null

Escolas/Curso em Video/Back-End/Curso de Python/Mundos/Mundo 01/Exercicio_16.py

c4st1lh0/Projetos-de-Aula

e8abc9f4bce6cc8dbc6d7fb5da0f549ac8ef5302

[ "MIT" ]

null

Escolas/Curso em Video/Back-End/Curso de Python/Mundos/Mundo 01/Exercicio_16.py

c4st1lh0/Projetos-de-Aula

e8abc9f4bce6cc8dbc6d7fb5da0f549ac8ef5302

[ "MIT" ]

null

import math num = float(input('Digite um numero real qualquer: ')) print('O numero: {} tem a parte inteira {}'.format(num, math.trunc(num)))

46.666667

73

0.7

22

140

4.454545

0.818182

0

0.128571

140

3

73

46.666667

0.803279

0

0.475177

0

1

0

false

0

0.333333

0

0.333333

1

0

null

0

1

0

null

0

1

0

3

131a15a3a8feaf503c53fb7ce15a6a9a4850f413

37,988

py

Python

mfem/_par/gridfunc.py

mfem/PyMFEM

b7b7c3d3de1082eac1015e3a313cf513db06fd7b

[ "BSD-3-Clause" ]

93

2017-03-01T16:45:33.000Z

2022-03-27T22:10:33.000Z

mfem/_par/gridfunc.py

mfem/PyMFEM

b7b7c3d3de1082eac1015e3a313cf513db06fd7b

[ "BSD-3-Clause" ]

64

2017-03-15T21:47:31.000Z

2022-03-31T23:59:00.000Z

mfem/_par/gridfunc.py

mfem/PyMFEM

b7b7c3d3de1082eac1015e3a313cf513db06fd7b

[ "BSD-3-Clause" ]

32

2017-03-02T22:13:38.000Z

2022-03-26T13:09:31.000Z

# This file was automatically generated by SWIG (http://www.swig.org). # Version 4.0.2 # # Do not make changes to this file unless you know what you are doing--modify # the SWIG interface file instead. from sys import version_info as _swig_python_version_info if _swig_python_version_info < (2, 7, 0): raise RuntimeError("Python 2.7 or later required") # Import the low-level C/C++ module if __package__ or "." in __name__: from . import _gridfunc else: import _gridfunc try: import builtins as __builtin__ except ImportError: import __builtin__ _swig_new_instance_method = _gridfunc.SWIG_PyInstanceMethod_New _swig_new_static_method = _gridfunc.SWIG_PyStaticMethod_New def _swig_repr(self): try: strthis = "proxy of " + self.this.__repr__() except __builtin__.Exception: strthis = "" return "<%s.%s; %s >" % (self.__class__.__module__, self.__class__.__name__, strthis,) def _swig_setattr_nondynamic_instance_variable(set): def set_instance_attr(self, name, value): if name == "thisown": self.this.own(value) elif name == "this": set(self, name, value) elif hasattr(self, name) and isinstance(getattr(type(self), name), property): set(self, name, value) else: raise AttributeError("You cannot add instance attributes to %s" % self) return set_instance_attr def _swig_setattr_nondynamic_class_variable(set): def set_class_attr(cls, name, value): if hasattr(cls, name) and not isinstance(getattr(cls, name), property): set(cls, name, value) else: raise AttributeError("You cannot add class attributes to %s" % cls) return set_class_attr def _swig_add_metaclass(metaclass): """Class decorator for adding a metaclass to a SWIG wrapped class - a slimmed down version of six.add_metaclass""" def wrapper(cls): return metaclass(cls.__name__, cls.__bases__, cls.__dict__.copy()) return wrapper class _SwigNonDynamicMeta(type): """Meta class to enforce nondynamic attributes (no new attributes) for a class""" __setattr__ = _swig_setattr_nondynamic_class_variable(type.__setattr__) import weakref import mfem._par.array import mfem._par.mem_manager import mfem._par.vector import mfem._par.coefficient import mfem._par.globals import mfem._par.matrix import mfem._par.operators import mfem._par.intrules import mfem._par.sparsemat import mfem._par.densemat import mfem._par.eltrans import mfem._par.fe import mfem._par.geom import mfem._par.fespace import mfem._par.mesh import mfem._par.sort_pairs import mfem._par.ncmesh import mfem._par.vtk import mfem._par.element import mfem._par.table import mfem._par.hash import mfem._par.vertex import mfem._par.fe_coll import mfem._par.lininteg import mfem._par.handle import mfem._par.hypre import mfem._par.restriction import mfem._par.bilininteg import mfem._par.linearform import mfem._par.nonlininteg class GridFunction(mfem._par.vector.Vector): r"""Proxy of C++ mfem::GridFunction class.""" thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") __repr__ = _swig_repr def MakeOwner(self, fec_): r"""MakeOwner(GridFunction self, FiniteElementCollection fec_)""" return _gridfunc.GridFunction_MakeOwner(self, fec_) MakeOwner = _swig_new_instance_method(_gridfunc.GridFunction_MakeOwner) def OwnFEC(self): r"""OwnFEC(GridFunction self) -> FiniteElementCollection""" return _gridfunc.GridFunction_OwnFEC(self) OwnFEC = _swig_new_instance_method(_gridfunc.GridFunction_OwnFEC) def VectorDim(self): r"""VectorDim(GridFunction self) -> int""" return _gridfunc.GridFunction_VectorDim(self) VectorDim = _swig_new_instance_method(_gridfunc.GridFunction_VectorDim) def GetTrueVector(self, *args): r""" GetTrueVector(GridFunction self) -> Vector GetTrueVector(GridFunction self) -> Vector """ return _gridfunc.GridFunction_GetTrueVector(self, *args) GetTrueVector = _swig_new_instance_method(_gridfunc.GridFunction_GetTrueVector) def GetTrueDofs(self, tv): r"""GetTrueDofs(GridFunction self, Vector tv)""" return _gridfunc.GridFunction_GetTrueDofs(self, tv) GetTrueDofs = _swig_new_instance_method(_gridfunc.GridFunction_GetTrueDofs) def SetTrueVector(self): r"""SetTrueVector(GridFunction self)""" return _gridfunc.GridFunction_SetTrueVector(self) SetTrueVector = _swig_new_instance_method(_gridfunc.GridFunction_SetTrueVector) def SetFromTrueDofs(self, tv): r"""SetFromTrueDofs(GridFunction self, Vector tv)""" return _gridfunc.GridFunction_SetFromTrueDofs(self, tv) SetFromTrueDofs = _swig_new_instance_method(_gridfunc.GridFunction_SetFromTrueDofs) def SetFromTrueVector(self): r"""SetFromTrueVector(GridFunction self)""" return _gridfunc.GridFunction_SetFromTrueVector(self) SetFromTrueVector = _swig_new_instance_method(_gridfunc.GridFunction_SetFromTrueVector) def GetValue(self, *args): r""" GetValue(GridFunction self, int i, IntegrationPoint ip, int vdim=1) -> double GetValue(GridFunction self, ElementTransformation T, IntegrationPoint ip, int comp=0, Vector tr=None) -> double """ return _gridfunc.GridFunction_GetValue(self, *args) GetValue = _swig_new_instance_method(_gridfunc.GridFunction_GetValue) def GetVectorValue(self, *args): r""" GetVectorValue(GridFunction self, int i, IntegrationPoint ip, Vector val) GetVectorValue(GridFunction self, ElementTransformation T, IntegrationPoint ip, Vector val, Vector tr=None) """ return _gridfunc.GridFunction_GetVectorValue(self, *args) GetVectorValue = _swig_new_instance_method(_gridfunc.GridFunction_GetVectorValue) def GetValues(self, *args): r""" GetValues(GridFunction self, int i, IntegrationRule ir, Vector vals, int vdim=1) GetValues(GridFunction self, int i, IntegrationRule ir, Vector vals, DenseMatrix tr, int vdim=1) GetValues(GridFunction self, ElementTransformation T, IntegrationRule ir, Vector vals, int comp=0, DenseMatrix tr=None) """ return _gridfunc.GridFunction_GetValues(self, *args) GetValues = _swig_new_instance_method(_gridfunc.GridFunction_GetValues) def GetVectorValues(self, *args): r""" GetVectorValues(GridFunction self, int i, IntegrationRule ir, DenseMatrix vals, DenseMatrix tr) GetVectorValues(GridFunction self, ElementTransformation T, IntegrationRule ir, DenseMatrix vals, DenseMatrix tr=None) """ return _gridfunc.GridFunction_GetVectorValues(self, *args) GetVectorValues = _swig_new_instance_method(_gridfunc.GridFunction_GetVectorValues) def GetFaceValues(self, i, side, ir, vals, tr, vdim=1): r"""GetFaceValues(GridFunction self, int i, int side, IntegrationRule ir, Vector vals, DenseMatrix tr, int vdim=1) -> int""" return _gridfunc.GridFunction_GetFaceValues(self, i, side, ir, vals, tr, vdim) GetFaceValues = _swig_new_instance_method(_gridfunc.GridFunction_GetFaceValues) def GetFaceVectorValues(self, i, side, ir, vals, tr): r"""GetFaceVectorValues(GridFunction self, int i, int side, IntegrationRule ir, DenseMatrix vals, DenseMatrix tr) -> int""" return _gridfunc.GridFunction_GetFaceVectorValues(self, i, side, ir, vals, tr) GetFaceVectorValues = _swig_new_instance_method(_gridfunc.GridFunction_GetFaceVectorValues) def GetLaplacians(self, *args): r""" GetLaplacians(GridFunction self, int i, IntegrationRule ir, Vector laps, int vdim=1) GetLaplacians(GridFunction self, int i, IntegrationRule ir, Vector laps, DenseMatrix tr, int vdim=1) """ return _gridfunc.GridFunction_GetLaplacians(self, *args) GetLaplacians = _swig_new_instance_method(_gridfunc.GridFunction_GetLaplacians) def GetHessians(self, *args): r""" GetHessians(GridFunction self, int i, IntegrationRule ir, DenseMatrix hess, int vdim=1) GetHessians(GridFunction self, int i, IntegrationRule ir, DenseMatrix hess, DenseMatrix tr, int vdim=1) """ return _gridfunc.GridFunction_GetHessians(self, *args) GetHessians = _swig_new_instance_method(_gridfunc.GridFunction_GetHessians) def GetValuesFrom(self, orig_func): r"""GetValuesFrom(GridFunction self, GridFunction orig_func)""" return _gridfunc.GridFunction_GetValuesFrom(self, orig_func) GetValuesFrom = _swig_new_instance_method(_gridfunc.GridFunction_GetValuesFrom) def GetBdrValuesFrom(self, orig_func): r"""GetBdrValuesFrom(GridFunction self, GridFunction orig_func)""" return _gridfunc.GridFunction_GetBdrValuesFrom(self, orig_func) GetBdrValuesFrom = _swig_new_instance_method(_gridfunc.GridFunction_GetBdrValuesFrom) def GetVectorFieldValues(self, i, ir, vals, tr, comp=0): r"""GetVectorFieldValues(GridFunction self, int i, IntegrationRule ir, DenseMatrix vals, DenseMatrix tr, int comp=0)""" return _gridfunc.GridFunction_GetVectorFieldValues(self, i, ir, vals, tr, comp) GetVectorFieldValues = _swig_new_instance_method(_gridfunc.GridFunction_GetVectorFieldValues) def ReorderByNodes(self): r"""ReorderByNodes(GridFunction self)""" return _gridfunc.GridFunction_ReorderByNodes(self) ReorderByNodes = _swig_new_instance_method(_gridfunc.GridFunction_ReorderByNodes) def GetNodalValues(self, *args): ''' GetNodalValues(i) -> GetNodalValues(vector, vdim) GetNodalValues(i, array<dobule>, vdim) ''' from .vector import Vector if len(args) == 1: vec = Vector() _gridfunc.GridFunction_GetNodalValues(self, vec, args[0]) vec.thisown = 0 return vec.GetDataArray() else: return _gridfunc.GridFunction_GetNodalValues(self, *args) def GetVectorFieldNodalValues(self, val, comp): r"""GetVectorFieldNodalValues(GridFunction self, Vector val, int comp)""" return _gridfunc.GridFunction_GetVectorFieldNodalValues(self, val, comp) GetVectorFieldNodalValues = _swig_new_instance_method(_gridfunc.GridFunction_GetVectorFieldNodalValues) def ProjectVectorFieldOn(self, vec_field, comp=0): r"""ProjectVectorFieldOn(GridFunction self, GridFunction vec_field, int comp=0)""" return _gridfunc.GridFunction_ProjectVectorFieldOn(self, vec_field, comp) ProjectVectorFieldOn = _swig_new_instance_method(_gridfunc.GridFunction_ProjectVectorFieldOn) def GetDerivative(self, comp, der_comp, der): r"""GetDerivative(GridFunction self, int comp, int der_comp, GridFunction der)""" return _gridfunc.GridFunction_GetDerivative(self, comp, der_comp, der) GetDerivative = _swig_new_instance_method(_gridfunc.GridFunction_GetDerivative) def GetDivergence(self, tr): r"""GetDivergence(GridFunction self, ElementTransformation tr) -> double""" return _gridfunc.GridFunction_GetDivergence(self, tr) GetDivergence = _swig_new_instance_method(_gridfunc.GridFunction_GetDivergence) def GetCurl(self, tr, curl): r"""GetCurl(GridFunction self, ElementTransformation tr, Vector curl)""" return _gridfunc.GridFunction_GetCurl(self, tr, curl) GetCurl = _swig_new_instance_method(_gridfunc.GridFunction_GetCurl) def GetGradient(self, tr, grad): r"""GetGradient(GridFunction self, ElementTransformation tr, Vector grad)""" return _gridfunc.GridFunction_GetGradient(self, tr, grad) GetGradient = _swig_new_instance_method(_gridfunc.GridFunction_GetGradient) def GetGradients(self, *args): r""" GetGradients(GridFunction self, ElementTransformation tr, IntegrationRule ir, DenseMatrix grad) GetGradients(GridFunction self, int const elem, IntegrationRule ir, DenseMatrix grad) """ return _gridfunc.GridFunction_GetGradients(self, *args) GetGradients = _swig_new_instance_method(_gridfunc.GridFunction_GetGradients) def GetVectorGradient(self, tr, grad): r"""GetVectorGradient(GridFunction self, ElementTransformation tr, DenseMatrix grad)""" return _gridfunc.GridFunction_GetVectorGradient(self, tr, grad) GetVectorGradient = _swig_new_instance_method(_gridfunc.GridFunction_GetVectorGradient) def GetElementAverages(self, avgs): r"""GetElementAverages(GridFunction self, GridFunction avgs)""" return _gridfunc.GridFunction_GetElementAverages(self, avgs) GetElementAverages = _swig_new_instance_method(_gridfunc.GridFunction_GetElementAverages) def GetElementDofValues(self, el, dof_vals): r"""GetElementDofValues(GridFunction self, int el, Vector dof_vals)""" return _gridfunc.GridFunction_GetElementDofValues(self, el, dof_vals) GetElementDofValues = _swig_new_instance_method(_gridfunc.GridFunction_GetElementDofValues) def ImposeBounds(self, *args): r""" ImposeBounds(GridFunction self, int i, Vector weights, Vector lo_, Vector hi_) ImposeBounds(GridFunction self, int i, Vector weights, double min_=0.0, double max_=mfem::infinity()) """ return _gridfunc.GridFunction_ImposeBounds(self, *args) ImposeBounds = _swig_new_instance_method(_gridfunc.GridFunction_ImposeBounds) def RestrictConforming(self): r"""RestrictConforming(GridFunction self)""" return _gridfunc.GridFunction_RestrictConforming(self) RestrictConforming = _swig_new_instance_method(_gridfunc.GridFunction_RestrictConforming) def ProjectGridFunction(self, src): r"""ProjectGridFunction(GridFunction self, GridFunction src)""" return _gridfunc.GridFunction_ProjectGridFunction(self, src) ProjectGridFunction = _swig_new_instance_method(_gridfunc.GridFunction_ProjectGridFunction) def ProjectCoefficient(self, *args): r""" ProjectCoefficient(GridFunction self, Coefficient coeff) ProjectCoefficient(GridFunction self, Coefficient coeff, intArray dofs, int vd=0) ProjectCoefficient(GridFunction self, VectorCoefficient vcoeff) ProjectCoefficient(GridFunction self, VectorCoefficient vcoeff, intArray dofs) ProjectCoefficient(GridFunction self, VectorCoefficient vcoeff, int attribute) ProjectCoefficient(GridFunction self, mfem::Coefficient *[] coeff) """ return _gridfunc.GridFunction_ProjectCoefficient(self, *args) ProjectCoefficient = _swig_new_instance_method(_gridfunc.GridFunction_ProjectCoefficient) ARITHMETIC = _gridfunc.GridFunction_ARITHMETIC HARMONIC = _gridfunc.GridFunction_HARMONIC def ProjectDiscCoefficient(self, *args): r""" ProjectDiscCoefficient(GridFunction self, VectorCoefficient coeff) ProjectDiscCoefficient(GridFunction self, Coefficient coeff, mfem::GridFunction::AvgType type) ProjectDiscCoefficient(GridFunction self, VectorCoefficient coeff, mfem::GridFunction::AvgType type) """ return _gridfunc.GridFunction_ProjectDiscCoefficient(self, *args) ProjectDiscCoefficient = _swig_new_instance_method(_gridfunc.GridFunction_ProjectDiscCoefficient) def ProjectBdrCoefficient(self, *args): r""" ProjectBdrCoefficient(GridFunction self, Coefficient coeff, intArray attr) ProjectBdrCoefficient(GridFunction self, VectorCoefficient vcoeff, intArray attr) ProjectBdrCoefficient(GridFunction self, mfem::Coefficient *[] coeff, intArray attr) """ return _gridfunc.GridFunction_ProjectBdrCoefficient(self, *args) ProjectBdrCoefficient = _swig_new_instance_method(_gridfunc.GridFunction_ProjectBdrCoefficient) def ProjectBdrCoefficientNormal(self, vcoeff, bdr_attr): r"""ProjectBdrCoefficientNormal(GridFunction self, VectorCoefficient vcoeff, intArray bdr_attr)""" return _gridfunc.GridFunction_ProjectBdrCoefficientNormal(self, vcoeff, bdr_attr) ProjectBdrCoefficientNormal = _swig_new_instance_method(_gridfunc.GridFunction_ProjectBdrCoefficientNormal) def ProjectBdrCoefficientTangent(self, vcoeff, bdr_attr): r"""ProjectBdrCoefficientTangent(GridFunction self, VectorCoefficient vcoeff, intArray bdr_attr)""" return _gridfunc.GridFunction_ProjectBdrCoefficientTangent(self, vcoeff, bdr_attr) ProjectBdrCoefficientTangent = _swig_new_instance_method(_gridfunc.GridFunction_ProjectBdrCoefficientTangent) def ComputeL2Error(self, *args): r""" ComputeL2Error(GridFunction self, Coefficient exsol, mfem::IntegrationRule const *[] irs=0) -> double ComputeL2Error(GridFunction self, mfem::Coefficient *[] exsol, mfem::IntegrationRule const *[] irs=0) -> double ComputeL2Error(GridFunction self, VectorCoefficient exsol, mfem::IntegrationRule const *[] irs=0, intArray elems=None) -> double """ return _gridfunc.GridFunction_ComputeL2Error(self, *args) ComputeL2Error = _swig_new_instance_method(_gridfunc.GridFunction_ComputeL2Error) def ComputeGradError(self, exgrad, irs=0): r"""ComputeGradError(GridFunction self, VectorCoefficient exgrad, mfem::IntegrationRule const *[] irs=0) -> double""" return _gridfunc.GridFunction_ComputeGradError(self, exgrad, irs) ComputeGradError = _swig_new_instance_method(_gridfunc.GridFunction_ComputeGradError) def ComputeCurlError(self, excurl, irs=0): r"""ComputeCurlError(GridFunction self, VectorCoefficient excurl, mfem::IntegrationRule const *[] irs=0) -> double""" return _gridfunc.GridFunction_ComputeCurlError(self, excurl, irs) ComputeCurlError = _swig_new_instance_method(_gridfunc.GridFunction_ComputeCurlError) def ComputeDivError(self, exdiv, irs=0): r"""ComputeDivError(GridFunction self, Coefficient exdiv, mfem::IntegrationRule const *[] irs=0) -> double""" return _gridfunc.GridFunction_ComputeDivError(self, exdiv, irs) ComputeDivError = _swig_new_instance_method(_gridfunc.GridFunction_ComputeDivError) def ComputeDGFaceJumpError(self, *args): r""" ComputeDGFaceJumpError(GridFunction self, Coefficient exsol, Coefficient ell_coeff, JumpScaling jump_scaling, mfem::IntegrationRule const *[] irs=0) -> double ComputeDGFaceJumpError(GridFunction self, Coefficient exsol, Coefficient ell_coeff, double Nu, mfem::IntegrationRule const *[] irs=0) -> double """ return _gridfunc.GridFunction_ComputeDGFaceJumpError(self, *args) ComputeDGFaceJumpError = _swig_new_instance_method(_gridfunc.GridFunction_ComputeDGFaceJumpError) def ComputeH1Error(self, *args): r""" ComputeH1Error(GridFunction self, Coefficient exsol, VectorCoefficient exgrad, Coefficient ell_coef, double Nu, int norm_type) -> double ComputeH1Error(GridFunction self, Coefficient exsol, VectorCoefficient exgrad, mfem::IntegrationRule const *[] irs=0) -> double """ return _gridfunc.GridFunction_ComputeH1Error(self, *args) ComputeH1Error = _swig_new_instance_method(_gridfunc.GridFunction_ComputeH1Error) def ComputeHDivError(self, exsol, exdiv, irs=0): r"""ComputeHDivError(GridFunction self, VectorCoefficient exsol, Coefficient exdiv, mfem::IntegrationRule const *[] irs=0) -> double""" return _gridfunc.GridFunction_ComputeHDivError(self, exsol, exdiv, irs) ComputeHDivError = _swig_new_instance_method(_gridfunc.GridFunction_ComputeHDivError) def ComputeHCurlError(self, exsol, excurl, irs=0): r"""ComputeHCurlError(GridFunction self, VectorCoefficient exsol, VectorCoefficient excurl, mfem::IntegrationRule const *[] irs=0) -> double""" return _gridfunc.GridFunction_ComputeHCurlError(self, exsol, excurl, irs) ComputeHCurlError = _swig_new_instance_method(_gridfunc.GridFunction_ComputeHCurlError) def ComputeMaxError(self, *args): r""" ComputeMaxError(GridFunction self, Coefficient exsol, mfem::IntegrationRule const *[] irs=0) -> double ComputeMaxError(GridFunction self, mfem::Coefficient *[] exsol, mfem::IntegrationRule const *[] irs=0) -> double ComputeMaxError(GridFunction self, VectorCoefficient exsol, mfem::IntegrationRule const *[] irs=0) -> double """ return _gridfunc.GridFunction_ComputeMaxError(self, *args) ComputeMaxError = _swig_new_instance_method(_gridfunc.GridFunction_ComputeMaxError) def ComputeW11Error(self, exsol, exgrad, norm_type, elems=None, irs=0): r"""ComputeW11Error(GridFunction self, Coefficient exsol, VectorCoefficient exgrad, int norm_type, intArray elems=None, mfem::IntegrationRule const *[] irs=0) -> double""" return _gridfunc.GridFunction_ComputeW11Error(self, exsol, exgrad, norm_type, elems, irs) ComputeW11Error = _swig_new_instance_method(_gridfunc.GridFunction_ComputeW11Error) def ComputeL1Error(self, *args): r""" ComputeL1Error(GridFunction self, Coefficient exsol, mfem::IntegrationRule const *[] irs=0) -> double ComputeL1Error(GridFunction self, VectorCoefficient exsol, mfem::IntegrationRule const *[] irs=0) -> double """ return _gridfunc.GridFunction_ComputeL1Error(self, *args) ComputeL1Error = _swig_new_instance_method(_gridfunc.GridFunction_ComputeL1Error) def ComputeLpError(self, *args): r""" ComputeLpError(GridFunction self, double const p, Coefficient exsol, Coefficient weight=None, mfem::IntegrationRule const *[] irs=0) -> double ComputeLpError(GridFunction self, double const p, VectorCoefficient exsol, Coefficient weight=None, VectorCoefficient v_weight=None, mfem::IntegrationRule const *[] irs=0) -> double """ return _gridfunc.GridFunction_ComputeLpError(self, *args) ComputeLpError = _swig_new_instance_method(_gridfunc.GridFunction_ComputeLpError) def ComputeElementLpErrors(self, *args): r""" ComputeElementLpErrors(GridFunction self, double const p, Coefficient exsol, Vector error, Coefficient weight=None, mfem::IntegrationRule const *[] irs=0) ComputeElementLpErrors(GridFunction self, double const p, VectorCoefficient exsol, Vector error, Coefficient weight=None, VectorCoefficient v_weight=None, mfem::IntegrationRule const *[] irs=0) """ return _gridfunc.GridFunction_ComputeElementLpErrors(self, *args) ComputeElementLpErrors = _swig_new_instance_method(_gridfunc.GridFunction_ComputeElementLpErrors) def ComputeElementL1Errors(self, *args): r""" ComputeElementL1Errors(GridFunction self, Coefficient exsol, Vector error, mfem::IntegrationRule const *[] irs=0) ComputeElementL1Errors(GridFunction self, VectorCoefficient exsol, Vector error, mfem::IntegrationRule const *[] irs=0) """ return _gridfunc.GridFunction_ComputeElementL1Errors(self, *args) ComputeElementL1Errors = _swig_new_instance_method(_gridfunc.GridFunction_ComputeElementL1Errors) def ComputeElementL2Errors(self, *args): r""" ComputeElementL2Errors(GridFunction self, Coefficient exsol, Vector error, mfem::IntegrationRule const *[] irs=0) ComputeElementL2Errors(GridFunction self, VectorCoefficient exsol, Vector error, mfem::IntegrationRule const *[] irs=0) """ return _gridfunc.GridFunction_ComputeElementL2Errors(self, *args) ComputeElementL2Errors = _swig_new_instance_method(_gridfunc.GridFunction_ComputeElementL2Errors) def ComputeElementMaxErrors(self, *args): r""" ComputeElementMaxErrors(GridFunction self, Coefficient exsol, Vector error, mfem::IntegrationRule const *[] irs=0) ComputeElementMaxErrors(GridFunction self, VectorCoefficient exsol, Vector error, mfem::IntegrationRule const *[] irs=0) """ return _gridfunc.GridFunction_ComputeElementMaxErrors(self, *args) ComputeElementMaxErrors = _swig_new_instance_method(_gridfunc.GridFunction_ComputeElementMaxErrors) def ComputeFlux(self, blfi, flux, wcoef=True, subdomain=-1): r"""ComputeFlux(GridFunction self, BilinearFormIntegrator blfi, GridFunction flux, bool wcoef=True, int subdomain=-1)""" return _gridfunc.GridFunction_ComputeFlux(self, blfi, flux, wcoef, subdomain) ComputeFlux = _swig_new_instance_method(_gridfunc.GridFunction_ComputeFlux) def Assign(self, *args): r""" Assign(GridFunction self, GridFunction rhs) -> GridFunction Assign(GridFunction self, double value) -> GridFunction Assign(GridFunction self, Vector v) -> GridFunction """ return _gridfunc.GridFunction_Assign(self, *args) Assign = _swig_new_instance_method(_gridfunc.GridFunction_Assign) def Update(self): r"""Update(GridFunction self)""" return _gridfunc.GridFunction_Update(self) Update = _swig_new_instance_method(_gridfunc.GridFunction_Update) def FESpace(self, *args): r""" FESpace(GridFunction self) -> FiniteElementSpace FESpace(GridFunction self) -> FiniteElementSpace """ return _gridfunc.GridFunction_FESpace(self, *args) FESpace = _swig_new_instance_method(_gridfunc.GridFunction_FESpace) def SetSpace(self, f): r"""SetSpace(GridFunction self, FiniteElementSpace f)""" return _gridfunc.GridFunction_SetSpace(self, f) SetSpace = _swig_new_instance_method(_gridfunc.GridFunction_SetSpace) def MakeRef(self, *args): r""" MakeRef(GridFunction self, Vector base, int offset, int size) MakeRef(GridFunction self, Vector base, int offset) MakeRef(GridFunction self, FiniteElementSpace f, double * v) MakeRef(GridFunction self, FiniteElementSpace f, Vector v, int v_offset) """ return _gridfunc.GridFunction_MakeRef(self, *args) MakeRef = _swig_new_instance_method(_gridfunc.GridFunction_MakeRef) def MakeTRef(self, *args): r""" MakeTRef(GridFunction self, FiniteElementSpace f, double * tv) MakeTRef(GridFunction self, FiniteElementSpace f, Vector tv, int tv_offset) """ return _gridfunc.GridFunction_MakeTRef(self, *args) MakeTRef = _swig_new_instance_method(_gridfunc.GridFunction_MakeTRef) def SaveVTK(self, out, field_name, ref): r"""SaveVTK(GridFunction self, std::ostream & out, std::string const & field_name, int ref)""" return _gridfunc.GridFunction_SaveVTK(self, out, field_name, ref) SaveVTK = _swig_new_instance_method(_gridfunc.GridFunction_SaveVTK) def SaveSTL(self, out, TimesToRefine=1): r"""SaveSTL(GridFunction self, std::ostream & out, int TimesToRefine=1)""" return _gridfunc.GridFunction_SaveSTL(self, out, TimesToRefine) SaveSTL = _swig_new_instance_method(_gridfunc.GridFunction_SaveSTL) __swig_destroy__ = _gridfunc.delete_GridFunction def __init__(self, *args): r""" __init__(GridFunction self) -> GridFunction __init__(GridFunction self, GridFunction orig) -> GridFunction __init__(GridFunction self, FiniteElementSpace f) -> GridFunction __init__(GridFunction self, FiniteElementSpace f, double * data) -> GridFunction __init__(GridFunction self, Mesh m, std::istream & input) -> GridFunction __init__(GridFunction self, Mesh m, mfem::GridFunction *[] gf_array, int num_pieces) -> GridFunction __init__(GridFunction self, FiniteElementSpace fes, Vector v, int offset) -> GridFunction """ _gridfunc.GridFunction_swiginit(self, _gridfunc.new_GridFunction(*args)) def SaveToFile(self, gf_file, precision): r"""SaveToFile(GridFunction self, char const * gf_file, int const precision)""" return _gridfunc.GridFunction_SaveToFile(self, gf_file, precision) SaveToFile = _swig_new_instance_method(_gridfunc.GridFunction_SaveToFile) def WriteToStream(self, StringIO): r"""WriteToStream(GridFunction self, PyObject * StringIO) -> PyObject *""" return _gridfunc.GridFunction_WriteToStream(self, StringIO) WriteToStream = _swig_new_instance_method(_gridfunc.GridFunction_WriteToStream) def iadd(self, c): r"""iadd(GridFunction self, GridFunction c) -> GridFunction""" return _gridfunc.GridFunction_iadd(self, c) iadd = _swig_new_instance_method(_gridfunc.GridFunction_iadd) def isub(self, *args): r""" isub(GridFunction self, GridFunction c) -> GridFunction isub(GridFunction self, double c) -> GridFunction """ return _gridfunc.GridFunction_isub(self, *args) isub = _swig_new_instance_method(_gridfunc.GridFunction_isub) def imul(self, c): r"""imul(GridFunction self, double c) -> GridFunction""" return _gridfunc.GridFunction_imul(self, c) imul = _swig_new_instance_method(_gridfunc.GridFunction_imul) def idiv(self, c): r"""idiv(GridFunction self, double c) -> GridFunction""" return _gridfunc.GridFunction_idiv(self, c) idiv = _swig_new_instance_method(_gridfunc.GridFunction_idiv) def Save(self, *args): r""" Save(GridFunction self, std::ostream & out) Save(GridFunction self, char const * fname, int precision=16) Save(GridFunction self, char const * file, int precision=16) """ return _gridfunc.GridFunction_Save(self, *args) Save = _swig_new_instance_method(_gridfunc.GridFunction_Save) def SaveGZ(self, file, precision=16): r"""SaveGZ(GridFunction self, char const * file, int precision=16)""" return _gridfunc.GridFunction_SaveGZ(self, file, precision) SaveGZ = _swig_new_instance_method(_gridfunc.GridFunction_SaveGZ) # Register GridFunction in _gridfunc: _gridfunc.GridFunction_swigregister(GridFunction) class JumpScaling(object): r"""Proxy of C++ mfem::JumpScaling class.""" thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") __repr__ = _swig_repr CONSTANT = _gridfunc.JumpScaling_CONSTANT ONE_OVER_H = _gridfunc.JumpScaling_ONE_OVER_H P_SQUARED_OVER_H = _gridfunc.JumpScaling_P_SQUARED_OVER_H def __init__(self, *args, **kwargs): r"""__init__(JumpScaling self, double nu_=1.0, mfem::JumpScaling::JumpScalingType type_=CONSTANT) -> JumpScaling""" _gridfunc.JumpScaling_swiginit(self, _gridfunc.new_JumpScaling(*args, **kwargs)) def Eval(self, h, p): r"""Eval(JumpScaling self, double h, int p) -> double""" return _gridfunc.JumpScaling_Eval(self, h, p) Eval = _swig_new_instance_method(_gridfunc.JumpScaling_Eval) __swig_destroy__ = _gridfunc.delete_JumpScaling # Register JumpScaling in _gridfunc: _gridfunc.JumpScaling_swigregister(JumpScaling) class QuadratureFunction(mfem._par.vector.Vector): r"""Proxy of C++ mfem::QuadratureFunction class.""" thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") __repr__ = _swig_repr def __init__(self, *args): r""" __init__(QuadratureFunction self) -> QuadratureFunction __init__(QuadratureFunction self, QuadratureFunction orig) -> QuadratureFunction __init__(QuadratureFunction self, QuadratureSpace qspace_, int vdim_=1) -> QuadratureFunction __init__(QuadratureFunction self, QuadratureSpace qspace_, double * qf_data, int vdim_=1) -> QuadratureFunction __init__(QuadratureFunction self, Mesh mesh, std::istream & _in) -> QuadratureFunction """ _gridfunc.QuadratureFunction_swiginit(self, _gridfunc.new_QuadratureFunction(*args)) __swig_destroy__ = _gridfunc.delete_QuadratureFunction def GetSpace(self): r"""GetSpace(QuadratureFunction self) -> QuadratureSpace""" return _gridfunc.QuadratureFunction_GetSpace(self) GetSpace = _swig_new_instance_method(_gridfunc.QuadratureFunction_GetSpace) def SetSpace(self, *args): r""" SetSpace(QuadratureFunction self, QuadratureSpace qspace_, int vdim_=-1) SetSpace(QuadratureFunction self, QuadratureSpace qspace_, double * qf_data, int vdim_=-1) """ return _gridfunc.QuadratureFunction_SetSpace(self, *args) SetSpace = _swig_new_instance_method(_gridfunc.QuadratureFunction_SetSpace) def GetVDim(self): r"""GetVDim(QuadratureFunction self) -> int""" return _gridfunc.QuadratureFunction_GetVDim(self) GetVDim = _swig_new_instance_method(_gridfunc.QuadratureFunction_GetVDim) def SetVDim(self, vdim_): r"""SetVDim(QuadratureFunction self, int vdim_)""" return _gridfunc.QuadratureFunction_SetVDim(self, vdim_) SetVDim = _swig_new_instance_method(_gridfunc.QuadratureFunction_SetVDim) def OwnsSpace(self): r"""OwnsSpace(QuadratureFunction self) -> bool""" return _gridfunc.QuadratureFunction_OwnsSpace(self) OwnsSpace = _swig_new_instance_method(_gridfunc.QuadratureFunction_OwnsSpace) def SetOwnsSpace(self, own): r"""SetOwnsSpace(QuadratureFunction self, bool own)""" return _gridfunc.QuadratureFunction_SetOwnsSpace(self, own) SetOwnsSpace = _swig_new_instance_method(_gridfunc.QuadratureFunction_SetOwnsSpace) def GetElementIntRule(self, idx): r"""GetElementIntRule(QuadratureFunction self, int idx) -> IntegrationRule""" return _gridfunc.QuadratureFunction_GetElementIntRule(self, idx) GetElementIntRule = _swig_new_instance_method(_gridfunc.QuadratureFunction_GetElementIntRule) def GetElementValues(self, *args): r""" GetElementValues(QuadratureFunction self, int idx, Vector values) GetElementValues(QuadratureFunction self, int idx, Vector values) GetElementValues(QuadratureFunction self, int idx, int const ip_num, Vector values) GetElementValues(QuadratureFunction self, int idx, int const ip_num, Vector values) GetElementValues(QuadratureFunction self, int idx, DenseMatrix values) GetElementValues(QuadratureFunction self, int idx, DenseMatrix values) """ return _gridfunc.QuadratureFunction_GetElementValues(self, *args) GetElementValues = _swig_new_instance_method(_gridfunc.QuadratureFunction_GetElementValues) def Save(self, *args): r""" Save(QuadratureFunction self, std::ostream & out) Save(QuadratureFunction self, char const * file, int precision=16) """ return _gridfunc.QuadratureFunction_Save(self, *args) Save = _swig_new_instance_method(_gridfunc.QuadratureFunction_Save) def SaveGZ(self, file, precision=16): r"""SaveGZ(QuadratureFunction self, char const * file, int precision=16)""" return _gridfunc.QuadratureFunction_SaveGZ(self, file, precision) SaveGZ = _swig_new_instance_method(_gridfunc.QuadratureFunction_SaveGZ) # Register QuadratureFunction in _gridfunc: _gridfunc.QuadratureFunction_swigregister(QuadratureFunction) def __lshift__(*args): r""" __lshift__(std::ostream & os, SparseMatrix mat) -> std::ostream __lshift__(std::ostream & out, Mesh mesh) -> std::ostream __lshift__(std::ostream & out, GridFunction sol) -> std::ostream __lshift__(std::ostream & out, QuadratureFunction qf) -> std::ostream & """ return _gridfunc.__lshift__(*args) __lshift__ = _gridfunc.__lshift__ def ZZErrorEstimator(blfi, u, flux, error_estimates, aniso_flags=None, with_subdomains=1, with_coeff=False): r"""ZZErrorEstimator(BilinearFormIntegrator blfi, GridFunction u, GridFunction flux, Vector error_estimates, intArray aniso_flags=None, int with_subdomains=1, bool with_coeff=False) -> double""" return _gridfunc.ZZErrorEstimator(blfi, u, flux, error_estimates, aniso_flags, with_subdomains, with_coeff) ZZErrorEstimator = _gridfunc.ZZErrorEstimator def ComputeElementLpDistance(p, i, gf1, gf2): r"""ComputeElementLpDistance(double p, int i, GridFunction gf1, GridFunction gf2) -> double""" return _gridfunc.ComputeElementLpDistance(p, i, gf1, gf2) ComputeElementLpDistance = _gridfunc.ComputeElementLpDistance class ExtrudeCoefficient(mfem._par.coefficient.Coefficient): r"""Proxy of C++ mfem::ExtrudeCoefficient class.""" thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") __repr__ = _swig_repr def __init__(self, m, s, n_): r"""__init__(ExtrudeCoefficient self, Mesh m, Coefficient s, int n_) -> ExtrudeCoefficient""" _gridfunc.ExtrudeCoefficient_swiginit(self, _gridfunc.new_ExtrudeCoefficient(m, s, n_)) def Eval(self, T, ip): r"""Eval(ExtrudeCoefficient self, ElementTransformation T, IntegrationPoint ip) -> double""" return _gridfunc.ExtrudeCoefficient_Eval(self, T, ip) Eval = _swig_new_instance_method(_gridfunc.ExtrudeCoefficient_Eval) __swig_destroy__ = _gridfunc.delete_ExtrudeCoefficient # Register ExtrudeCoefficient in _gridfunc: _gridfunc.ExtrudeCoefficient_swigregister(ExtrudeCoefficient) def Extrude1DGridFunction(mesh, mesh2d, sol, ny): r"""Extrude1DGridFunction(Mesh mesh, Mesh mesh2d, GridFunction sol, int const ny) -> GridFunction""" return _gridfunc.Extrude1DGridFunction(mesh, mesh2d, sol, ny) Extrude1DGridFunction = _gridfunc.Extrude1DGridFunction def __iadd__(self, v): ret = _gridfunc.GridFunction_iadd(self, v) ret.thisown = 0 return self def __isub__(self, v): ret = _gridfunc.GridFunction_isub(self, v) ret.thisown = 0 return self def __idiv__(self, v): ret = _gridfunc.GridFunction_idiv(self, v) ret.thisown = 0 return self def __imul__(self, v): ret = _gridfunc.GridFunction_imul(self, v) ret.thisown = 0 return self GridFunction.__iadd__ = __iadd__ GridFunction.__idiv__ = __idiv__ GridFunction.__isub__ = __isub__ GridFunction.__imul__ = __imul__

49.335065

201

0.740076

3,960

37,988

6.804545

0.095707

0.112818

0.04676

0.065464

0.502672

0.400913

0.234692

0.196207

0.152898

0.12436

0

0.004659

0.169475

37,988

769

202

49.39922

0.849414

0.352585

0

0.060976

1

0

0.00931

0

1

0.20935

false

0

0.077236

0.002033

0.70122

0

null

0

1

0

null

0

1

0

1

0

3

132bcf51e26ca1f03ed60b32fc0ad65159783864

107

py

Python

examples/catapi/feeder.py

IniZio/py-skygear

88479678f91e678fd931c28295189bfea2148c79

[ "Apache-2.0" ]

8

2016-06-24T03:26:45.000Z

2018-05-12T09:06:33.000Z

examples/catapi/feeder.py

IniZio/py-skygear

88479678f91e678fd931c28295189bfea2148c79

[ "Apache-2.0" ]

183

2016-03-23T08:03:28.000Z

2018-08-14T05:49:45.000Z

examples/catapi/feeder.py

IniZio/py-skygear

88479678f91e678fd931c28295189bfea2148c79

[ "Apache-2.0" ]

24

2016-03-21T02:39:39.000Z

2020-09-17T12:28:58.000Z

def pick_food(name): if name == "chima": return "chicken" else: return "dry food"

15.285714

25

0.53271

13

107

4.307692

0.769231

0

0.345794

107

6

26

17.833333

0.8

0

0.188679

0

1

0.2

false

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0.6

0

1

0

null

0

1

0

null

0

1

0

3

133ed5289cb6b6aa42d9780aa225db43b59d7e06

154

py

Python

HelloWorldPython/IfStatements.py

SamIge7/Tutorials

7a3361768432a6493313d1f0ea1ccc8b2b916aa2

[ "MIT" ]

null

HelloWorldPython/IfStatements.py

SamIge7/Tutorials

7a3361768432a6493313d1f0ea1ccc8b2b916aa2

[ "MIT" ]

null

HelloWorldPython/IfStatements.py

SamIge7/Tutorials

7a3361768432a6493313d1f0ea1ccc8b2b916aa2

[ "MIT" ]

null

hasGoodCredit = True price = 1000000 deposit = 0 if hasGoodCredit: deposit = price/10 else: deposit = price/5 print(f"Deposit needed: £{deposit}")

19.25

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154

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154

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false

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null

1

0

1

0

null

0

3

13427c6b2da4367eae23b3d65430a2f826b58232

106,827

py

Python

obswebsocket/requests.py

PanBartosz/obs-websocket-py

e92960a475d3f1096a4ea41763cbc776b23f0a37

[ "MIT" ]

123

2017-06-19T05:34:58.000Z

2022-03-23T12:48:19.000Z

obswebsocket/requests.py

PanBartosz/obs-websocket-py

e92960a475d3f1096a4ea41763cbc776b23f0a37

[ "MIT" ]

67

2017-06-20T11:31:08.000Z

2022-03-25T20:30:41.000Z

obswebsocket/requests.py

PanBartosz/obs-websocket-py

e92960a475d3f1096a4ea41763cbc776b23f0a37

[ "MIT" ]

51

2017-10-09T19:03:12.000Z

2022-03-28T19:25:02.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # THIS FILE WAS GENERATED BY generate_classes.py - DO NOT EDIT # # (Generated on 2020-12-20 18:26:33.661372) # from .base_classes import Baserequests class GetVersion(Baserequests): """Returns the latest version of the plugin and the API. :Returns: *version* type: double OBSRemote compatible API version. Fixed to 1.1 for retrocompatibility. *obs_websocket_version* type: String obs-websocket plugin version. *obs_studio_version* type: String OBS Studio program version. *available_requests* type: String List of available request types, formatted as a comma-separated list string (e.g. : "Method1,Method2,Method3"). *supported_image_export_formats* type: String List of supported formats for features that use image export (like the TakeSourceScreenshot request type) formatted as a comma-separated list string """ def __init__(self): Baserequests.__init__(self) self.name = 'GetVersion' self.datain['version'] = None self.datain['obs-websocket-version'] = None self.datain['obs-studio-version'] = None self.datain['available-requests'] = None self.datain['supported-image-export-formats'] = None def getVersion(self): return self.datain['version'] def getObsWebsocketVersion(self): return self.datain['obs-websocket-version'] def getObsStudioVersion(self): return self.datain['obs-studio-version'] def getAvailableRequests(self): return self.datain['available-requests'] def getSupportedImageExportFormats(self): return self.datain['supported-image-export-formats'] class GetAuthRequired(Baserequests): """Tells the client if authentication is required. If so, returns authentication parameters `challenge` and `salt` (see "Authentication" for more information). :Returns: *authRequired* type: boolean Indicates whether authentication is required. *challenge* type: String (optional) *salt* type: String (optional) """ def __init__(self): Baserequests.__init__(self) self.name = 'GetAuthRequired' self.datain['authRequired'] = None self.datain['challenge'] = None self.datain['salt'] = None def getAuthRequired(self): return self.datain['authRequired'] def getChallenge(self): return self.datain['challenge'] def getSalt(self): return self.datain['salt'] class Authenticate(Baserequests): """Attempt to authenticate the client to the server. :Arguments: *auth* type: String Response to the auth challenge (see "Authentication" for more information). """ def __init__(self, auth): Baserequests.__init__(self) self.name = 'Authenticate' self.dataout['auth'] = auth class SetHeartbeat(Baserequests): """Enable/disable sending of the Heartbeat event :Arguments: *enable* type: boolean Starts/Stops emitting heartbeat messages """ def __init__(self, enable): Baserequests.__init__(self) self.name = 'SetHeartbeat' self.dataout['enable'] = enable class SetFilenameFormatting(Baserequests): """Set the filename formatting string :Arguments: *filename_formatting* type: String Filename formatting string to set. """ def __init__(self, filename_formatting): Baserequests.__init__(self) self.name = 'SetFilenameFormatting' self.dataout['filename-formatting'] = filename_formatting class GetFilenameFormatting(Baserequests): """Get the filename formatting string :Returns: *filename_formatting* type: String Current filename formatting string. """ def __init__(self): Baserequests.__init__(self) self.name = 'GetFilenameFormatting' self.datain['filename-formatting'] = None def getFilenameFormatting(self): return self.datain['filename-formatting'] class GetStats(Baserequests): """Get OBS stats (almost the same info as provided in OBS' stats window) :Returns: *stats* type: OBSStats [OBS stats](#obsstats) """ def __init__(self): Baserequests.__init__(self) self.name = 'GetStats' self.datain['stats'] = None def getStats(self): return self.datain['stats'] class BroadcastCustomMessage(Baserequests): """Broadcast custom message to all connected WebSocket clients :Arguments: *realm* type: String Identifier to be choosen by the client *data* type: Object User-defined data """ def __init__(self, realm, data): Baserequests.__init__(self) self.name = 'BroadcastCustomMessage' self.dataout['realm'] = realm self.dataout['data'] = data class GetVideoInfo(Baserequests): """Get basic OBS video information :Returns: *baseWidth* type: int Base (canvas) width *baseHeight* type: int Base (canvas) height *outputWidth* type: int Output width *outputHeight* type: int Output height *scaleType* type: String Scaling method used if output size differs from base size *fps* type: double Frames rendered per second *videoFormat* type: String Video color format *colorSpace* type: String Color space for YUV *colorRange* type: String Color range (full or partial) """ def __init__(self): Baserequests.__init__(self) self.name = 'GetVideoInfo' self.datain['baseWidth'] = None self.datain['baseHeight'] = None self.datain['outputWidth'] = None self.datain['outputHeight'] = None self.datain['scaleType'] = None self.datain['fps'] = None self.datain['videoFormat'] = None self.datain['colorSpace'] = None self.datain['colorRange'] = None def getBaseWidth(self): return self.datain['baseWidth'] def getBaseHeight(self): return self.datain['baseHeight'] def getOutputWidth(self): return self.datain['outputWidth'] def getOutputHeight(self): return self.datain['outputHeight'] def getScaleType(self): return self.datain['scaleType'] def getFps(self): return self.datain['fps'] def getVideoFormat(self): return self.datain['videoFormat'] def getColorSpace(self): return self.datain['colorSpace'] def getColorRange(self): return self.datain['colorRange'] class OpenProjector(Baserequests): """Open a projector window or create a projector on a monitor. Requires OBS v24.0.4 or newer. :Arguments: *type* type: String (Optional) Type of projector: `Preview` (default), `Source`, `Scene`, `StudioProgram`, or `Multiview` (case insensitive). *monitor* type: int (Optional) Monitor to open the projector on. If -1 or omitted, opens a window. *geometry* type: String (Optional) Size and position of the projector window (only if monitor is -1). Encoded in Base64 using [Qt's geometry encoding](https://doc.qt.io/qt-5/qwidget.html#saveGeometry). Corresponds to OBS's saved projectors. *name* type: String (Optional) Name of the source or scene to be displayed (ignored for other projector types). """ def __init__(self, type, monitor, geometry, name): Baserequests.__init__(self) self.name = 'OpenProjector' self.dataout['type'] = type self.dataout['monitor'] = monitor self.dataout['geometry'] = geometry self.dataout['name'] = name class TriggerHotkeyByName(Baserequests): """Executes hotkey routine, identified by hotkey unique name :Arguments: *hotkeyName* type: String Unique name of the hotkey, as defined when registering the hotkey (e.g. "ReplayBuffer.Save") """ def __init__(self, hotkeyName): Baserequests.__init__(self) self.name = 'TriggerHotkeyByName' self.dataout['hotkeyName'] = hotkeyName class TriggerHotkeyBySequence(Baserequests): """Executes hotkey routine, identified by bound combination of keys. A single key combination might trigger multiple hotkey routines depending on user settings :Arguments: *keyId* type: String Main key identifier (e.g. `OBS_KEY_A` for key "A"). Available identifiers [here](https://github.com/obsproject/obs-studio/blob/master/libobs/obs-hotkeys.h) *keyModifiers* type: Object (Optional) Optional key modifiers object. False entries can be ommitted *keyModifiers.shift* type: boolean Trigger Shift Key *keyModifiers.alt* type: boolean Trigger Alt Key *keyModifiers.control* type: boolean Trigger Control (Ctrl) Key *keyModifiers.command* type: boolean Trigger Command Key (Mac) """ def __init__(self, keyId, keyModifiers): Baserequests.__init__(self) self.name = 'TriggerHotkeyBySequence' self.dataout['keyId'] = keyId self.dataout['keyModifiers'] = keyModifiers class PlayPauseMedia(Baserequests): """Pause or play a media source. Supports ffmpeg and vlc media sources (as of OBS v25.0.8) :Arguments: *sourceName* type: String Source name. *playPause* type: boolean Whether to pause or play the source. `false` for play, `true` for pause. """ def __init__(self, sourceName, playPause): Baserequests.__init__(self) self.name = 'PlayPauseMedia' self.dataout['sourceName'] = sourceName self.dataout['playPause'] = playPause class RestartMedia(Baserequests): """Restart a media source. Supports ffmpeg and vlc media sources (as of OBS v25.0.8) :Arguments: *sourceName* type: String Source name. """ def __init__(self, sourceName): Baserequests.__init__(self) self.name = 'RestartMedia' self.dataout['sourceName'] = sourceName class StopMedia(Baserequests): """Stop a media source. Supports ffmpeg and vlc media sources (as of OBS v25.0.8) :Arguments: *sourceName* type: String Source name. """ def __init__(self, sourceName): Baserequests.__init__(self) self.name = 'StopMedia' self.dataout['sourceName'] = sourceName class NextMedia(Baserequests): """Skip to the next media item in the playlist. Supports only vlc media source (as of OBS v25.0.8) :Arguments: *sourceName* type: String Source name. """ def __init__(self, sourceName): Baserequests.__init__(self) self.name = 'NextMedia' self.dataout['sourceName'] = sourceName class PreviousMedia(Baserequests): """Go to the previous media item in the playlist. Supports only vlc media source (as of OBS v25.0.8) :Arguments: *sourceName* type: String Source name. """ def __init__(self, sourceName): Baserequests.__init__(self) self.name = 'PreviousMedia' self.dataout['sourceName'] = sourceName class GetMediaDuration(Baserequests): """Get the length of media in milliseconds. Supports ffmpeg and vlc media sources (as of OBS v25.0.8) Note: For some reason, for the first 5 or so seconds that the media is playing, the total duration can be off by upwards of 50ms. :Arguments: *sourceName* type: String Source name. :Returns: *mediaDuration* type: int The total length of media in milliseconds.. """ def __init__(self, sourceName): Baserequests.__init__(self) self.name = 'GetMediaDuration' self.datain['mediaDuration'] = None self.dataout['sourceName'] = sourceName def getMediaDuration(self): return self.datain['mediaDuration'] class GetMediaTime(Baserequests): """Get the current timestamp of media in milliseconds. Supports ffmpeg and vlc media sources (as of OBS v25.0.8) :Arguments: *sourceName* type: String Source name. :Returns: *timestamp* type: int The time in milliseconds since the start of the media. """ def __init__(self, sourceName): Baserequests.__init__(self) self.name = 'GetMediaTime' self.datain['timestamp'] = None self.dataout['sourceName'] = sourceName def getTimestamp(self): return self.datain['timestamp'] class SetMediaTime(Baserequests): """Set the timestamp of a media source. Supports ffmpeg and vlc media sources (as of OBS v25.0.8) :Arguments: *sourceName* type: String Source name. *timestamp* type: int Milliseconds to set the timestamp to. """ def __init__(self, sourceName, timestamp): Baserequests.__init__(self) self.name = 'SetMediaTime' self.dataout['sourceName'] = sourceName self.dataout['timestamp'] = timestamp class ScrubMedia(Baserequests): """Scrub media using a supplied offset. Supports ffmpeg and vlc media sources (as of OBS v25.0.8) Note: Due to processing/network delays, this request is not perfect. The processing rate of this request has also not been tested. :Arguments: *sourceName* type: String Source name. *timeOffset* type: int Millisecond offset (positive or negative) to offset the current media position. """ def __init__(self, sourceName, timeOffset): Baserequests.__init__(self) self.name = 'ScrubMedia' self.dataout['sourceName'] = sourceName self.dataout['timeOffset'] = timeOffset class GetMediaState(Baserequests): """Get the current playing state of a media source. Supports ffmpeg and vlc media sources (as of OBS v25.0.8) :Arguments: *sourceName* type: String Source name. :Returns: *mediaState* type: String The media state of the provided source. States: `none`, `playing`, `opening`, `buffering`, `paused`, `stopped`, `ended`, `error`, `unknown` """ def __init__(self, sourceName): Baserequests.__init__(self) self.name = 'GetMediaState' self.datain['mediaState'] = None self.dataout['sourceName'] = sourceName def getMediaState(self): return self.datain['mediaState'] class GetMediaSourcesList(Baserequests): """List the media state of all media sources (vlc and media source) :Returns: *mediaSources* type: Array<Object> Array of sources *mediaSources.*.sourceName* type: String Unique source name *mediaSources.*.sourceKind* type: String Unique source internal type (a.k.a `ffmpeg_source` or `vlc_source`) *mediaSources.*.mediaState* type: String The current state of media for that source. States: `none`, `playing`, `opening`, `buffering`, `paused`, `stopped`, `ended`, `error`, `unknown` """ def __init__(self): Baserequests.__init__(self) self.name = 'GetMediaSourcesList' self.datain['mediaSources'] = None def getMediaSources(self): return self.datain['mediaSources'] class CreateSource(Baserequests): """Create a source and add it as a sceneitem to a scene. :Arguments: *sourceName* type: String Source name. *sourceKind* type: String Source kind, Eg. `vlc_source`. *sceneName* type: String Scene to add the new source to. *sourceSettings* type: Object (optional) Source settings data. *setVisible* type: boolean (optional) Set the created SceneItem as visible or not. Defaults to true :Returns: *itemId* type: int ID of the SceneItem in the scene. """ def __init__(self, sourceName, sourceKind, sceneName, sourceSettings=None, setVisible=None): Baserequests.__init__(self) self.name = 'CreateSource' self.datain['itemId'] = None self.dataout['sourceName'] = sourceName self.dataout['sourceKind'] = sourceKind self.dataout['sceneName'] = sceneName self.dataout['sourceSettings'] = sourceSettings self.dataout['setVisible'] = setVisible def getItemId(self): return self.datain['itemId'] class GetSourcesList(Baserequests): """List all sources available in the running OBS instance :Returns: *sources* type: Array<Object> Array of sources *sources.*.name* type: String Unique source name *sources.*.typeId* type: String Non-unique source internal type (a.k.a kind) *sources.*.type* type: String Source type. Value is one of the following: "input", "filter", "transition", "scene" or "unknown" """ def __init__(self): Baserequests.__init__(self) self.name = 'GetSourcesList' self.datain['sources'] = None def getSources(self): return self.datain['sources'] class GetSourceTypesList(Baserequests): """Get a list of all available sources types :Returns: *types* type: Array<Object> Array of source types *types.*.typeId* type: String Non-unique internal source type ID *types.*.displayName* type: String Display name of the source type *types.*.type* type: String Type. Value is one of the following: "input", "filter", "transition" or "other" *types.*.defaultSettings* type: Object Default settings of this source type *types.*.caps* type: Object Source type capabilities *types.*.caps.isAsync* type: Boolean True if source of this type provide frames asynchronously *types.*.caps.hasVideo* type: Boolean True if sources of this type provide video *types.*.caps.hasAudio* type: Boolean True if sources of this type provide audio *types.*.caps.canInteract* type: Boolean True if interaction with this sources of this type is possible *types.*.caps.isComposite* type: Boolean True if sources of this type composite one or more sub-sources *types.*.caps.doNotDuplicate* type: Boolean True if sources of this type should not be fully duplicated *types.*.caps.doNotSelfMonitor* type: Boolean True if sources of this type may cause a feedback loop if it's audio is monitored and shouldn't be """ def __init__(self): Baserequests.__init__(self) self.name = 'GetSourceTypesList' self.datain['types'] = None def getTypes(self): return self.datain['types'] class GetVolume(Baserequests): """Get the volume of the specified source. Default response uses mul format, NOT SLIDER PERCENTAGE. :Arguments: *source* type: String Source name. *useDecibel* type: boolean (optional) Output volume in decibels of attenuation instead of amplitude/mul. :Returns: *name* type: String Source name. *volume* type: double Volume of the source. Between `0.0` and `20.0` if using mul, under `26.0` if using dB. *muted* type: boolean Indicates whether the source is muted. """ def __init__(self, source, useDecibel=None): Baserequests.__init__(self) self.name = 'GetVolume' self.datain['name'] = None self.datain['volume'] = None self.datain['muted'] = None self.dataout['source'] = source self.dataout['useDecibel'] = useDecibel def getName(self): return self.datain['name'] def getVolume(self): return self.datain['volume'] def getMuted(self): return self.datain['muted'] class SetVolume(Baserequests): """Set the volume of the specified source. Default request format uses mul, NOT SLIDER PERCENTAGE. :Arguments: *source* type: String Source name. *volume* type: double Desired volume. Must be between `0.0` and `20.0` for mul, and under 26.0 for dB. OBS will interpret dB values under -100.0 as Inf. Note: The OBS volume sliders only reach a maximum of 1.0mul/0.0dB, however OBS actually supports larger values. *useDecibel* type: boolean (optional) Interperet `volume` data as decibels instead of amplitude/mul. """ def __init__(self, source, volume, useDecibel=None): Baserequests.__init__(self) self.name = 'SetVolume' self.dataout['source'] = source self.dataout['volume'] = volume self.dataout['useDecibel'] = useDecibel class GetMute(Baserequests): """Get the mute status of a specified source. :Arguments: *source* type: String Source name. :Returns: *name* type: String Source name. *muted* type: boolean Mute status of the source. """ def __init__(self, source): Baserequests.__init__(self) self.name = 'GetMute' self.datain['name'] = None self.datain['muted'] = None self.dataout['source'] = source def getName(self): return self.datain['name'] def getMuted(self): return self.datain['muted'] class SetMute(Baserequests): """Sets the mute status of a specified source. :Arguments: *source* type: String Source name. *mute* type: boolean Desired mute status. """ def __init__(self, source, mute): Baserequests.__init__(self) self.name = 'SetMute' self.dataout['source'] = source self.dataout['mute'] = mute class ToggleMute(Baserequests): """Inverts the mute status of a specified source. :Arguments: *source* type: String Source name. """ def __init__(self, source): Baserequests.__init__(self) self.name = 'ToggleMute' self.dataout['source'] = source class GetAudioActive(Baserequests): """Get the audio's active status of a specified source. :Arguments: *sourceName* type: String Source name. :Returns: *audioActive* type: boolean Audio active status of the source. """ def __init__(self, sourceName): Baserequests.__init__(self) self.name = 'GetAudioActive' self.datain['audioActive'] = None self.dataout['sourceName'] = sourceName def getAudioActive(self): return self.datain['audioActive'] class SetSourceName(Baserequests): """ Note: If the new name already exists as a source, obs-websocket will return an error. :Arguments: *sourceName* type: String Source name. *newName* type: String New source name. """ def __init__(self, sourceName, newName): Baserequests.__init__(self) self.name = 'SetSourceName' self.dataout['sourceName'] = sourceName self.dataout['newName'] = newName class SetSyncOffset(Baserequests): """Set the audio sync offset of a specified source. :Arguments: *source* type: String Source name. *offset* type: int The desired audio sync offset (in nanoseconds). """ def __init__(self, source, offset): Baserequests.__init__(self) self.name = 'SetSyncOffset' self.dataout['source'] = source self.dataout['offset'] = offset class GetSyncOffset(Baserequests): """Get the audio sync offset of a specified source. :Arguments: *source* type: String Source name. :Returns: *name* type: String Source name. *offset* type: int The audio sync offset (in nanoseconds). """ def __init__(self, source): Baserequests.__init__(self) self.name = 'GetSyncOffset' self.datain['name'] = None self.datain['offset'] = None self.dataout['source'] = source def getName(self): return self.datain['name'] def getOffset(self): return self.datain['offset'] class GetSourceSettings(Baserequests): """Get settings of the specified source :Arguments: *sourceName* type: String Source name. *sourceType* type: String (optional) Type of the specified source. Useful for type-checking if you expect a specific settings schema. :Returns: *sourceName* type: String Source name *sourceType* type: String Type of the specified source *sourceSettings* type: Object Source settings (varies between source types, may require some probing around). """ def __init__(self, sourceName, sourceType=None): Baserequests.__init__(self) self.name = 'GetSourceSettings' self.datain['sourceName'] = None self.datain['sourceType'] = None self.datain['sourceSettings'] = None self.dataout['sourceName'] = sourceName self.dataout['sourceType'] = sourceType def getSourceName(self): return self.datain['sourceName'] def getSourceType(self): return self.datain['sourceType'] def getSourceSettings(self): return self.datain['sourceSettings'] class SetSourceSettings(Baserequests): """Set settings of the specified source. :Arguments: *sourceName* type: String Source name. *sourceType* type: String (optional) Type of the specified source. Useful for type-checking to avoid settings a set of settings incompatible with the actual source's type. *sourceSettings* type: Object Source settings (varies between source types, may require some probing around). :Returns: *sourceName* type: String Source name *sourceType* type: String Type of the specified source *sourceSettings* type: Object Updated source settings """ def __init__(self, sourceName, sourceSettings, sourceType=None): Baserequests.__init__(self) self.name = 'SetSourceSettings' self.datain['sourceName'] = None self.datain['sourceType'] = None self.datain['sourceSettings'] = None self.dataout['sourceName'] = sourceName self.dataout['sourceSettings'] = sourceSettings self.dataout['sourceType'] = sourceType def getSourceName(self): return self.datain['sourceName'] def getSourceType(self): return self.datain['sourceType'] def getSourceSettings(self): return self.datain['sourceSettings'] class GetTextGDIPlusProperties(Baserequests): """Get the current properties of a Text GDI Plus source. :Arguments: *source* type: String Source name. :Returns: *source* type: String Source name. *align* type: String Text Alignment ("left", "center", "right"). *bk_color* type: int Background color. *bk_opacity* type: int Background opacity (0-100). *chatlog* type: boolean Chat log. *chatlog_lines* type: int Chat log lines. *color* type: int Text color. *extents* type: boolean Extents wrap. *extents_cx* type: int Extents cx. *extents_cy* type: int Extents cy. *file* type: String File path name. *read_from_file* type: boolean Read text from the specified file. *font* type: Object Holds data for the font. Ex: `"font": { "face": "Arial", "flags": 0, "size": 150, "style": "" }` *font.face* type: String Font face. *font.flags* type: int Font text styling flag. `Bold=1, Italic=2, Bold Italic=3, Underline=5, Strikeout=8` *font.size* type: int Font text size. *font.style* type: String Font Style (unknown function). *gradient* type: boolean Gradient enabled. *gradient_color* type: int Gradient color. *gradient_dir* type: float Gradient direction. *gradient_opacity* type: int Gradient opacity (0-100). *outline* type: boolean Outline. *outline_color* type: int Outline color. *outline_size* type: int Outline size. *outline_opacity* type: int Outline opacity (0-100). *text* type: String Text content to be displayed. *valign* type: String Text vertical alignment ("top", "center", "bottom"). *vertical* type: boolean Vertical text enabled. """ def __init__(self, source): Baserequests.__init__(self) self.name = 'GetTextGDIPlusProperties' self.datain['source'] = None self.datain['align'] = None self.datain['bk_color'] = None self.datain['bk_opacity'] = None self.datain['chatlog'] = None self.datain['chatlog_lines'] = None self.datain['color'] = None self.datain['extents'] = None self.datain['extents_cx'] = None self.datain['extents_cy'] = None self.datain['file'] = None self.datain['read_from_file'] = None self.datain['font'] = None self.datain['gradient'] = None self.datain['gradient_color'] = None self.datain['gradient_dir'] = None self.datain['gradient_opacity'] = None self.datain['outline'] = None self.datain['outline_color'] = None self.datain['outline_size'] = None self.datain['outline_opacity'] = None self.datain['text'] = None self.datain['valign'] = None self.datain['vertical'] = None self.dataout['source'] = source def getSource(self): return self.datain['source'] def getAlign(self): return self.datain['align'] def getBk_color(self): return self.datain['bk_color'] def getBk_opacity(self): return self.datain['bk_opacity'] def getChatlog(self): return self.datain['chatlog'] def getChatlog_lines(self): return self.datain['chatlog_lines'] def getColor(self): return self.datain['color'] def getExtents(self): return self.datain['extents'] def getExtents_cx(self): return self.datain['extents_cx'] def getExtents_cy(self): return self.datain['extents_cy'] def getFile(self): return self.datain['file'] def getRead_from_file(self): return self.datain['read_from_file'] def getFont(self): return self.datain['font'] def getGradient(self): return self.datain['gradient'] def getGradient_color(self): return self.datain['gradient_color'] def getGradient_dir(self): return self.datain['gradient_dir'] def getGradient_opacity(self): return self.datain['gradient_opacity'] def getOutline(self): return self.datain['outline'] def getOutline_color(self): return self.datain['outline_color'] def getOutline_size(self): return self.datain['outline_size'] def getOutline_opacity(self): return self.datain['outline_opacity'] def getText(self): return self.datain['text'] def getValign(self): return self.datain['valign'] def getVertical(self): return self.datain['vertical'] class SetTextGDIPlusProperties(Baserequests): """Set the current properties of a Text GDI Plus source. :Arguments: *source* type: String Name of the source. *align* type: String (optional) Text Alignment ("left", "center", "right"). *bk_color* type: int (optional) Background color. *bk_opacity* type: int (optional) Background opacity (0-100). *chatlog* type: boolean (optional) Chat log. *chatlog_lines* type: int (optional) Chat log lines. *color* type: int (optional) Text color. *extents* type: boolean (optional) Extents wrap. *extents_cx* type: int (optional) Extents cx. *extents_cy* type: int (optional) Extents cy. *file* type: String (optional) File path name. *read_from_file* type: boolean (optional) Read text from the specified file. *font* type: Object (optional) Holds data for the font. Ex: `"font": { "face": "Arial", "flags": 0, "size": 150, "style": "" }` *font.face* type: String (optional) Font face. *font.flags* type: int (optional) Font text styling flag. `Bold=1, Italic=2, Bold Italic=3, Underline=5, Strikeout=8` *font.size* type: int (optional) Font text size. *font.style* type: String (optional) Font Style (unknown function). *gradient* type: boolean (optional) Gradient enabled. *gradient_color* type: int (optional) Gradient color. *gradient_dir* type: float (optional) Gradient direction. *gradient_opacity* type: int (optional) Gradient opacity (0-100). *outline* type: boolean (optional) Outline. *outline_color* type: int (optional) Outline color. *outline_size* type: int (optional) Outline size. *outline_opacity* type: int (optional) Outline opacity (0-100). *text* type: String (optional) Text content to be displayed. *valign* type: String (optional) Text vertical alignment ("top", "center", "bottom"). *vertical* type: boolean (optional) Vertical text enabled. *render* type: boolean (optional) Visibility of the scene item. """ def __init__(self, source, align=None, bk_color=None, bk_opacity=None, chatlog=None, chatlog_lines=None, color=None, extents=None, extents_cx=None, extents_cy=None, file=None, read_from_file=None, font=None, gradient=None, gradient_color=None, gradient_dir=None, gradient_opacity=None, outline=None, outline_color=None, outline_size=None, outline_opacity=None, text=None, valign=None, vertical=None, render=None): Baserequests.__init__(self) self.name = 'SetTextGDIPlusProperties' self.dataout['source'] = source self.dataout['align'] = align self.dataout['bk_color'] = bk_color self.dataout['bk_opacity'] = bk_opacity self.dataout['chatlog'] = chatlog self.dataout['chatlog_lines'] = chatlog_lines self.dataout['color'] = color self.dataout['extents'] = extents self.dataout['extents_cx'] = extents_cx self.dataout['extents_cy'] = extents_cy self.dataout['file'] = file self.dataout['read_from_file'] = read_from_file self.dataout['font'] = font self.dataout['gradient'] = gradient self.dataout['gradient_color'] = gradient_color self.dataout['gradient_dir'] = gradient_dir self.dataout['gradient_opacity'] = gradient_opacity self.dataout['outline'] = outline self.dataout['outline_color'] = outline_color self.dataout['outline_size'] = outline_size self.dataout['outline_opacity'] = outline_opacity self.dataout['text'] = text self.dataout['valign'] = valign self.dataout['vertical'] = vertical self.dataout['render'] = render class GetTextFreetype2Properties(Baserequests): """Get the current properties of a Text Freetype 2 source. :Arguments: *source* type: String Source name. :Returns: *source* type: String Source name *color1* type: int Gradient top color. *color2* type: int Gradient bottom color. *custom_width* type: int Custom width (0 to disable). *drop_shadow* type: boolean Drop shadow. *font* type: Object Holds data for the font. Ex: `"font": { "face": "Arial", "flags": 0, "size": 150, "style": "" }` *font.face* type: String Font face. *font.flags* type: int Font text styling flag. `Bold=1, Italic=2, Bold Italic=3, Underline=5, Strikeout=8` *font.size* type: int Font text size. *font.style* type: String Font Style (unknown function). *from_file* type: boolean Read text from the specified file. *log_mode* type: boolean Chat log. *outline* type: boolean Outline. *text* type: String Text content to be displayed. *text_file* type: String File path. *word_wrap* type: boolean Word wrap. """ def __init__(self, source): Baserequests.__init__(self) self.name = 'GetTextFreetype2Properties' self.datain['source'] = None self.datain['color1'] = None self.datain['color2'] = None self.datain['custom_width'] = None self.datain['drop_shadow'] = None self.datain['font'] = None self.datain['from_file'] = None self.datain['log_mode'] = None self.datain['outline'] = None self.datain['text'] = None self.datain['text_file'] = None self.datain['word_wrap'] = None self.dataout['source'] = source def getSource(self): return self.datain['source'] def getColor1(self): return self.datain['color1'] def getColor2(self): return self.datain['color2'] def getCustom_width(self): return self.datain['custom_width'] def getDrop_shadow(self): return self.datain['drop_shadow'] def getFont(self): return self.datain['font'] def getFrom_file(self): return self.datain['from_file'] def getLog_mode(self): return self.datain['log_mode'] def getOutline(self): return self.datain['outline'] def getText(self): return self.datain['text'] def getText_file(self): return self.datain['text_file'] def getWord_wrap(self): return self.datain['word_wrap'] class SetTextFreetype2Properties(Baserequests): """Set the current properties of a Text Freetype 2 source. :Arguments: *source* type: String Source name. *color1* type: int (optional) Gradient top color. *color2* type: int (optional) Gradient bottom color. *custom_width* type: int (optional) Custom width (0 to disable). *drop_shadow* type: boolean (optional) Drop shadow. *font* type: Object (optional) Holds data for the font. Ex: `"font": { "face": "Arial", "flags": 0, "size": 150, "style": "" }` *font.face* type: String (optional) Font face. *font.flags* type: int (optional) Font text styling flag. `Bold=1, Italic=2, Bold Italic=3, Underline=5, Strikeout=8` *font.size* type: int (optional) Font text size. *font.style* type: String (optional) Font Style (unknown function). *from_file* type: boolean (optional) Read text from the specified file. *log_mode* type: boolean (optional) Chat log. *outline* type: boolean (optional) Outline. *text* type: String (optional) Text content to be displayed. *text_file* type: String (optional) File path. *word_wrap* type: boolean (optional) Word wrap. """ def __init__(self, source, color1=None, color2=None, custom_width=None, drop_shadow=None, font=None, from_file=None, log_mode=None, outline=None, text=None, text_file=None, word_wrap=None): Baserequests.__init__(self) self.name = 'SetTextFreetype2Properties' self.dataout['source'] = source self.dataout['color1'] = color1 self.dataout['color2'] = color2 self.dataout['custom_width'] = custom_width self.dataout['drop_shadow'] = drop_shadow self.dataout['font'] = font self.dataout['from_file'] = from_file self.dataout['log_mode'] = log_mode self.dataout['outline'] = outline self.dataout['text'] = text self.dataout['text_file'] = text_file self.dataout['word_wrap'] = word_wrap class GetBrowserSourceProperties(Baserequests): """Get current properties for a Browser Source. :Arguments: *source* type: String Source name. :Returns: *source* type: String Source name. *is_local_file* type: boolean Indicates that a local file is in use. *local_file* type: String file path. *url* type: String Url. *css* type: String CSS to inject. *width* type: int Width. *height* type: int Height. *fps* type: int Framerate. *shutdown* type: boolean Indicates whether the source should be shutdown when not visible. """ def __init__(self, source): Baserequests.__init__(self) self.name = 'GetBrowserSourceProperties' self.datain['source'] = None self.datain['is_local_file'] = None self.datain['local_file'] = None self.datain['url'] = None self.datain['css'] = None self.datain['width'] = None self.datain['height'] = None self.datain['fps'] = None self.datain['shutdown'] = None self.dataout['source'] = source def getSource(self): return self.datain['source'] def getIs_local_file(self): return self.datain['is_local_file'] def getLocal_file(self): return self.datain['local_file'] def getUrl(self): return self.datain['url'] def getCss(self): return self.datain['css'] def getWidth(self): return self.datain['width'] def getHeight(self): return self.datain['height'] def getFps(self): return self.datain['fps'] def getShutdown(self): return self.datain['shutdown'] class SetBrowserSourceProperties(Baserequests): """Set current properties for a Browser Source. :Arguments: *source* type: String Name of the source. *is_local_file* type: boolean (optional) Indicates that a local file is in use. *local_file* type: String (optional) file path. *url* type: String (optional) Url. *css* type: String (optional) CSS to inject. *width* type: int (optional) Width. *height* type: int (optional) Height. *fps* type: int (optional) Framerate. *shutdown* type: boolean (optional) Indicates whether the source should be shutdown when not visible. *render* type: boolean (optional) Visibility of the scene item. """ def __init__(self, source, is_local_file=None, local_file=None, url=None, css=None, width=None, height=None, fps=None, shutdown=None, render=None): Baserequests.__init__(self) self.name = 'SetBrowserSourceProperties' self.dataout['source'] = source self.dataout['is_local_file'] = is_local_file self.dataout['local_file'] = local_file self.dataout['url'] = url self.dataout['css'] = css self.dataout['width'] = width self.dataout['height'] = height self.dataout['fps'] = fps self.dataout['shutdown'] = shutdown self.dataout['render'] = render class GetSpecialSources(Baserequests): """Get configured special sources like Desktop Audio and Mic/Aux sources. :Returns: *desktop_1* type: String (optional) Name of the first Desktop Audio capture source. *desktop_2* type: String (optional) Name of the second Desktop Audio capture source. *mic_1* type: String (optional) Name of the first Mic/Aux input source. *mic_2* type: String (optional) Name of the second Mic/Aux input source. *mic_3* type: String (optional) NAme of the third Mic/Aux input source. """ def __init__(self): Baserequests.__init__(self) self.name = 'GetSpecialSources' self.datain['desktop-1'] = None self.datain['desktop-2'] = None self.datain['mic-1'] = None self.datain['mic-2'] = None self.datain['mic-3'] = None def getDesktop1(self): return self.datain['desktop-1'] def getDesktop2(self): return self.datain['desktop-2'] def getMic1(self): return self.datain['mic-1'] def getMic2(self): return self.datain['mic-2'] def getMic3(self): return self.datain['mic-3'] class GetSourceFilters(Baserequests): """List filters applied to a source :Arguments: *sourceName* type: String Source name :Returns: *filters* type: Array<Object> List of filters for the specified source *filters.*.enabled* type: Boolean Filter status (enabled or not) *filters.*.type* type: String Filter type *filters.*.name* type: String Filter name *filters.*.settings* type: Object Filter settings """ def __init__(self, sourceName): Baserequests.__init__(self) self.name = 'GetSourceFilters' self.datain['filters'] = None self.dataout['sourceName'] = sourceName def getFilters(self): return self.datain['filters'] class GetSourceFilterInfo(Baserequests): """List filters applied to a source :Arguments: *sourceName* type: String Source name *filterName* type: String Source filter name :Returns: *enabled* type: Boolean Filter status (enabled or not) *type* type: String Filter type *name* type: String Filter name *settings* type: Object Filter settings """ def __init__(self, sourceName, filterName): Baserequests.__init__(self) self.name = 'GetSourceFilterInfo' self.datain['enabled'] = None self.datain['type'] = None self.datain['name'] = None self.datain['settings'] = None self.dataout['sourceName'] = sourceName self.dataout['filterName'] = filterName def getEnabled(self): return self.datain['enabled'] def getType(self): return self.datain['type'] def getName(self): return self.datain['name'] def getSettings(self): return self.datain['settings'] class AddFilterToSource(Baserequests): """Add a new filter to a source. Available source types along with their settings properties are available from `GetSourceTypesList`. :Arguments: *sourceName* type: String Name of the source on which the filter is added *filterName* type: String Name of the new filter *filterType* type: String Filter type *filterSettings* type: Object Filter settings """ def __init__(self, sourceName, filterName, filterType, filterSettings): Baserequests.__init__(self) self.name = 'AddFilterToSource' self.dataout['sourceName'] = sourceName self.dataout['filterName'] = filterName self.dataout['filterType'] = filterType self.dataout['filterSettings'] = filterSettings class RemoveFilterFromSource(Baserequests): """Remove a filter from a source :Arguments: *sourceName* type: String Name of the source from which the specified filter is removed *filterName* type: String Name of the filter to remove """ def __init__(self, sourceName, filterName): Baserequests.__init__(self) self.name = 'RemoveFilterFromSource' self.dataout['sourceName'] = sourceName self.dataout['filterName'] = filterName class ReorderSourceFilter(Baserequests): """Move a filter in the chain (absolute index positioning) :Arguments: *sourceName* type: String Name of the source to which the filter belongs *filterName* type: String Name of the filter to reorder *newIndex* type: Integer Desired position of the filter in the chain """ def __init__(self, sourceName, filterName, newIndex): Baserequests.__init__(self) self.name = 'ReorderSourceFilter' self.dataout['sourceName'] = sourceName self.dataout['filterName'] = filterName self.dataout['newIndex'] = newIndex class MoveSourceFilter(Baserequests): """Move a filter in the chain (relative positioning) :Arguments: *sourceName* type: String Name of the source to which the filter belongs *filterName* type: String Name of the filter to reorder *movementType* type: String How to move the filter around in the source's filter chain. Either "up", "down", "top" or "bottom". """ def __init__(self, sourceName, filterName, movementType): Baserequests.__init__(self) self.name = 'MoveSourceFilter' self.dataout['sourceName'] = sourceName self.dataout['filterName'] = filterName self.dataout['movementType'] = movementType class SetSourceFilterSettings(Baserequests): """Update settings of a filter :Arguments: *sourceName* type: String Name of the source to which the filter belongs *filterName* type: String Name of the filter to reconfigure *filterSettings* type: Object New settings. These will be merged to the current filter settings. """ def __init__(self, sourceName, filterName, filterSettings): Baserequests.__init__(self) self.name = 'SetSourceFilterSettings' self.dataout['sourceName'] = sourceName self.dataout['filterName'] = filterName self.dataout['filterSettings'] = filterSettings class SetSourceFilterVisibility(Baserequests): """Change the visibility/enabled state of a filter :Arguments: *sourceName* type: String Source name *filterName* type: String Source filter name *filterEnabled* type: Boolean New filter state """ def __init__(self, sourceName, filterName, filterEnabled): Baserequests.__init__(self) self.name = 'SetSourceFilterVisibility' self.dataout['sourceName'] = sourceName self.dataout['filterName'] = filterName self.dataout['filterEnabled'] = filterEnabled class GetAudioMonitorType(Baserequests): """Get the audio monitoring type of the specified source. :Arguments: *sourceName* type: String Source name. :Returns: *monitorType* type: String The monitor type in use. Options: `none`, `monitorOnly`, `monitorAndOutput`. """ def __init__(self, sourceName): Baserequests.__init__(self) self.name = 'GetAudioMonitorType' self.datain['monitorType'] = None self.dataout['sourceName'] = sourceName def getMonitorType(self): return self.datain['monitorType'] class SetAudioMonitorType(Baserequests): """Set the audio monitoring type of the specified source. :Arguments: *sourceName* type: String Source name. *monitorType* type: String The monitor type to use. Options: `none`, `monitorOnly`, `monitorAndOutput`. """ def __init__(self, sourceName, monitorType): Baserequests.__init__(self) self.name = 'SetAudioMonitorType' self.dataout['sourceName'] = sourceName self.dataout['monitorType'] = monitorType class TakeSourceScreenshot(Baserequests): """ At least `embedPictureFormat` or `saveToFilePath` must be specified. Clients can specify `width` and `height` parameters to receive scaled pictures. Aspect ratio is preserved if only one of these two parameters is specified. :Arguments: *sourceName* type: String (optional) Source name. Note that, since scenes are also sources, you can also provide a scene name. If not provided, the currently active scene is used. *embedPictureFormat* type: String (optional) Format of the Data URI encoded picture. Can be "png", "jpg", "jpeg" or "bmp" (or any other value supported by Qt's Image module) *saveToFilePath* type: String (optional) Full file path (file extension included) where the captured image is to be saved. Can be in a format different from `pictureFormat`. Can be a relative path. *fileFormat* type: String (optional) Format to save the image file as (one of the values provided in the `supported-image-export-formats` response field of `GetVersion`). If not specified, tries to guess based on file extension. *compressionQuality* type: int (optional) Compression ratio between -1 and 100 to write the image with. -1 is automatic, 1 is smallest file/most compression, 100 is largest file/least compression. Varies with image type. *width* type: int (optional) Screenshot width. Defaults to the source's base width. *height* type: int (optional) Screenshot height. Defaults to the source's base height. :Returns: *sourceName* type: String Source name *img* type: String Image Data URI (if `embedPictureFormat` was specified in the request) *imageFile* type: String Absolute path to the saved image file (if `saveToFilePath` was specified in the request) """ def __init__(self, sourceName=None, embedPictureFormat=None, saveToFilePath=None, fileFormat=None, compressionQuality=None, width=None, height=None): Baserequests.__init__(self) self.name = 'TakeSourceScreenshot' self.datain['sourceName'] = None self.datain['img'] = None self.datain['imageFile'] = None self.dataout['sourceName'] = sourceName self.dataout['embedPictureFormat'] = embedPictureFormat self.dataout['saveToFilePath'] = saveToFilePath self.dataout['fileFormat'] = fileFormat self.dataout['compressionQuality'] = compressionQuality self.dataout['width'] = width self.dataout['height'] = height def getSourceName(self): return self.datain['sourceName'] def getImg(self): return self.datain['img'] def getImageFile(self): return self.datain['imageFile'] class ListOutputs(Baserequests): """List existing outputs :Returns: *outputs* type: Array<Output> Outputs list """ def __init__(self): Baserequests.__init__(self) self.name = 'ListOutputs' self.datain['outputs'] = None def getOutputs(self): return self.datain['outputs'] class GetOutputInfo(Baserequests): """Get information about a single output :Arguments: *outputName* type: String Output name :Returns: *outputInfo* type: Output Output info """ def __init__(self, outputName): Baserequests.__init__(self) self.name = 'GetOutputInfo' self.datain['outputInfo'] = None self.dataout['outputName'] = outputName def getOutputInfo(self): return self.datain['outputInfo'] class StartOutput(Baserequests): """ Note: Controlling outputs is an experimental feature of obs-websocket. Some plugins which add outputs to OBS may not function properly when they are controlled in this way. :Arguments: *outputName* type: String Output name """ def __init__(self, outputName): Baserequests.__init__(self) self.name = 'StartOutput' self.dataout['outputName'] = outputName class StopOutput(Baserequests): """ Note: Controlling outputs is an experimental feature of obs-websocket. Some plugins which add outputs to OBS may not function properly when they are controlled in this way. :Arguments: *outputName* type: String Output name *force* type: boolean (optional) Force stop (default: false) """ def __init__(self, outputName, force=None): Baserequests.__init__(self) self.name = 'StopOutput' self.dataout['outputName'] = outputName self.dataout['force'] = force class SetCurrentProfile(Baserequests): """Set the currently active profile. :Arguments: *profile_name* type: String Name of the desired profile. """ def __init__(self, profile_name): Baserequests.__init__(self) self.name = 'SetCurrentProfile' self.dataout['profile-name'] = profile_name class GetCurrentProfile(Baserequests): """Get the name of the current profile. :Returns: *profile_name* type: String Name of the currently active profile. """ def __init__(self): Baserequests.__init__(self) self.name = 'GetCurrentProfile' self.datain['profile-name'] = None def getProfileName(self): return self.datain['profile-name'] class ListProfiles(Baserequests): """Get a list of available profiles. :Returns: *profiles* type: Array<Object> List of available profiles. *profiles.*.profile_name* type: String Filter name """ def __init__(self): Baserequests.__init__(self) self.name = 'ListProfiles' self.datain['profiles'] = None def getProfiles(self): return self.datain['profiles'] class GetRecordingStatus(Baserequests): """Get current recording status. :Returns: *isRecording* type: boolean Current recording status. *isRecordingPaused* type: boolean Whether the recording is paused or not. *recordTimecode* type: String (optional) Time elapsed since recording started (only present if currently recording). *recordingFilename* type: String (optional) Absolute path to the recording file (only present if currently recording). """ def __init__(self): Baserequests.__init__(self) self.name = 'GetRecordingStatus' self.datain['isRecording'] = None self.datain['isRecordingPaused'] = None self.datain['recordTimecode'] = None self.datain['recordingFilename'] = None def getIsRecording(self): return self.datain['isRecording'] def getIsRecordingPaused(self): return self.datain['isRecordingPaused'] def getRecordTimecode(self): return self.datain['recordTimecode'] def getRecordingFilename(self): return self.datain['recordingFilename'] class StartStopRecording(Baserequests): """Toggle recording on or off (depending on the current recording state). """ def __init__(self): Baserequests.__init__(self) self.name = 'StartStopRecording' class StartRecording(Baserequests): """Start recording. Will return an `error` if recording is already active. """ def __init__(self): Baserequests.__init__(self) self.name = 'StartRecording' class StopRecording(Baserequests): """Stop recording. Will return an `error` if recording is not active. """ def __init__(self): Baserequests.__init__(self) self.name = 'StopRecording' class PauseRecording(Baserequests): """Pause the current recording. Returns an error if recording is not active or already paused. """ def __init__(self): Baserequests.__init__(self) self.name = 'PauseRecording' class ResumeRecording(Baserequests): """Resume/unpause the current recording (if paused). Returns an error if recording is not active or not paused. """ def __init__(self): Baserequests.__init__(self) self.name = 'ResumeRecording' class SetRecordingFolder(Baserequests): """ Please note: if `SetRecordingFolder` is called while a recording is in progress, the change won't be applied immediately and will be effective on the next recording. :Arguments: *rec_folder* type: String Path of the recording folder. """ def __init__(self, rec_folder): Baserequests.__init__(self) self.name = 'SetRecordingFolder' self.dataout['rec-folder'] = rec_folder class GetRecordingFolder(Baserequests): """Get the path of the current recording folder. :Returns: *rec_folder* type: String Path of the recording folder. """ def __init__(self): Baserequests.__init__(self) self.name = 'GetRecordingFolder' self.datain['rec-folder'] = None def getRecFolder(self): return self.datain['rec-folder'] class GetReplayBufferStatus(Baserequests): """Get the status of the OBS replay buffer. :Returns: *isReplayBufferActive* type: boolean Current recording status. """ def __init__(self): Baserequests.__init__(self) self.name = 'GetReplayBufferStatus' self.datain['isReplayBufferActive'] = None def getIsReplayBufferActive(self): return self.datain['isReplayBufferActive'] class StartStopReplayBuffer(Baserequests): """Toggle the Replay Buffer on/off (depending on the current state of the replay buffer). """ def __init__(self): Baserequests.__init__(self) self.name = 'StartStopReplayBuffer' class StartReplayBuffer(Baserequests): """Start recording into the Replay Buffer. Will return an `error` if the Replay Buffer is already active or if the "Save Replay Buffer" hotkey is not set in OBS' settings. Setting this hotkey is mandatory, even when triggering saves only through obs-websocket. """ def __init__(self): Baserequests.__init__(self) self.name = 'StartReplayBuffer' class StopReplayBuffer(Baserequests): """Stop recording into the Replay Buffer. Will return an `error` if the Replay Buffer is not active. """ def __init__(self): Baserequests.__init__(self) self.name = 'StopReplayBuffer' class SaveReplayBuffer(Baserequests): """Flush and save the contents of the Replay Buffer to disk. This is basically the same as triggering the "Save Replay Buffer" hotkey. Will return an `error` if the Replay Buffer is not active. """ def __init__(self): Baserequests.__init__(self) self.name = 'SaveReplayBuffer' class SetCurrentSceneCollection(Baserequests): """Change the active scene collection. :Arguments: *sc_name* type: String Name of the desired scene collection. """ def __init__(self, sc_name): Baserequests.__init__(self) self.name = 'SetCurrentSceneCollection' self.dataout['sc-name'] = sc_name class GetCurrentSceneCollection(Baserequests): """Get the name of the current scene collection. :Returns: *sc_name* type: String Name of the currently active scene collection. """ def __init__(self): Baserequests.__init__(self) self.name = 'GetCurrentSceneCollection' self.datain['sc-name'] = None def getScName(self): return self.datain['sc-name'] class ListSceneCollections(Baserequests): """List available scene collections :Returns: *scene_collections* type: Array<String> Scene collections list *scene_collections.*.sc_name* type: String Scene collection name """ def __init__(self): Baserequests.__init__(self) self.name = 'ListSceneCollections' self.datain['scene-collections'] = None def getSceneCollections(self): return self.datain['scene-collections'] class GetSceneItemList(Baserequests): """Get a list of all scene items in a scene. :Arguments: *sceneName* type: String (optional) Name of the scene to get the list of scene items from. Defaults to the current scene if not specified. :Returns: *sceneName* type: String Name of the requested (or current) scene *sceneItems* type: Array<Object> Array of scene items *sceneItems.*.itemId* type: int Unique item id of the source item *sceneItems.*.sourceKind* type: String ID if the scene item's source. For example `vlc_source` or `image_source` *sceneItems.*.sourceName* type: String Name of the scene item's source *sceneItems.*.sourceType* type: String Type of the scene item's source. Either `input`, `group`, or `scene` """ def __init__(self, sceneName=None): Baserequests.__init__(self) self.name = 'GetSceneItemList' self.datain['sceneName'] = None self.datain['sceneItems'] = None self.dataout['sceneName'] = sceneName def getSceneName(self): return self.datain['sceneName'] def getSceneItems(self): return self.datain['sceneItems'] class GetSceneItemProperties(Baserequests): """Gets the scene specific properties of the specified source item. Coordinates are relative to the item's parent (the scene or group it belongs to). :Arguments: *scene_name* type: String (optional) Name of the scene the scene item belongs to. Defaults to the current scene. *item* type: String | Object Scene Item name (if this field is a string) or specification (if it is an object). *item.name* type: String (optional) Scene Item name (if the `item` field is an object) *item.id* type: int (optional) Scene Item ID (if the `item` field is an object) :Returns: *name* type: String Scene Item name. *itemId* type: int Scene Item ID. *position.x* type: double The x position of the source from the left. *position.y* type: double The y position of the source from the top. *position.alignment* type: int The point on the source that the item is manipulated from. The sum of 1=Left or 2=Right, and 4=Top or 8=Bottom, or omit to center on that axis. *rotation* type: double The clockwise rotation of the item in degrees around the point of alignment. *scale.x* type: double The x-scale factor of the source. *scale.y* type: double The y-scale factor of the source. *crop.top* type: int The number of pixels cropped off the top of the source before scaling. *crop.right* type: int The number of pixels cropped off the right of the source before scaling. *crop.bottom* type: int The number of pixels cropped off the bottom of the source before scaling. *crop.left* type: int The number of pixels cropped off the left of the source before scaling. *visible* type: bool If the source is visible. *muted* type: bool If the source is muted. *locked* type: bool If the source's transform is locked. *bounds.type* type: String Type of bounding box. Can be "OBS_BOUNDS_STRETCH", "OBS_BOUNDS_SCALE_INNER", "OBS_BOUNDS_SCALE_OUTER", "OBS_BOUNDS_SCALE_TO_WIDTH", "OBS_BOUNDS_SCALE_TO_HEIGHT", "OBS_BOUNDS_MAX_ONLY" or "OBS_BOUNDS_NONE". *bounds.alignment* type: int Alignment of the bounding box. *bounds.x* type: double Width of the bounding box. *bounds.y* type: double Height of the bounding box. *sourceWidth* type: int Base width (without scaling) of the source *sourceHeight* type: int Base source (without scaling) of the source *width* type: double Scene item width (base source width multiplied by the horizontal scaling factor) *height* type: double Scene item height (base source height multiplied by the vertical scaling factor) *parentGroupName* type: String (optional) Name of the item's parent (if this item belongs to a group) *groupChildren* type: Array<SceneItemTransform> (optional) List of children (if this item is a group) """ def __init__(self, item, scene_name=None): Baserequests.__init__(self) self.name = 'GetSceneItemProperties' self.datain['name'] = None self.datain['itemId'] = None self.datain['position'] = None self.datain['rotation'] = None self.datain['scale'] = None self.datain['crop'] = None self.datain['visible'] = None self.datain['muted'] = None self.datain['locked'] = None self.datain['bounds'] = None self.datain['sourceWidth'] = None self.datain['sourceHeight'] = None self.datain['width'] = None self.datain['height'] = None self.datain['parentGroupName'] = None self.datain['groupChildren'] = None self.dataout['item'] = item self.dataout['scene-name'] = scene_name def getName(self): return self.datain['name'] def getItemId(self): return self.datain['itemId'] def getPosition(self): return self.datain['position'] def getRotation(self): return self.datain['rotation'] def getScale(self): return self.datain['scale'] def getCrop(self): return self.datain['crop'] def getVisible(self): return self.datain['visible'] def getMuted(self): return self.datain['muted'] def getLocked(self): return self.datain['locked'] def getBounds(self): return self.datain['bounds'] def getSourceWidth(self): return self.datain['sourceWidth'] def getSourceHeight(self): return self.datain['sourceHeight'] def getWidth(self): return self.datain['width'] def getHeight(self): return self.datain['height'] def getParentGroupName(self): return self.datain['parentGroupName'] def getGroupChildren(self): return self.datain['groupChildren'] class SetSceneItemProperties(Baserequests): """Sets the scene specific properties of a source. Unspecified properties will remain unchanged. Coordinates are relative to the item's parent (the scene or group it belongs to). :Arguments: *scene_name* type: String (optional) Name of the scene the source item belongs to. Defaults to the current scene. *item* type: String | Object Scene Item name (if this field is a string) or specification (if it is an object). *item.name* type: String (optional) Scene Item name (if the `item` field is an object) *item.id* type: int (optional) Scene Item ID (if the `item` field is an object) *position.x* type: double (optional) The new x position of the source. *position.y* type: double (optional) The new y position of the source. *position.alignment* type: int (optional) The new alignment of the source. *rotation* type: double (optional) The new clockwise rotation of the item in degrees. *scale.x* type: double (optional) The new x scale of the item. *scale.y* type: double (optional) The new y scale of the item. *crop.top* type: int (optional) The new amount of pixels cropped off the top of the source before scaling. *crop.bottom* type: int (optional) The new amount of pixels cropped off the bottom of the source before scaling. *crop.left* type: int (optional) The new amount of pixels cropped off the left of the source before scaling. *crop.right* type: int (optional) The new amount of pixels cropped off the right of the source before scaling. *visible* type: bool (optional) The new visibility of the source. 'true' shows source, 'false' hides source. *locked* type: bool (optional) The new locked status of the source. 'true' keeps it in its current position, 'false' allows movement. *bounds.type* type: String (optional) The new bounds type of the source. Can be "OBS_BOUNDS_STRETCH", "OBS_BOUNDS_SCALE_INNER", "OBS_BOUNDS_SCALE_OUTER", "OBS_BOUNDS_SCALE_TO_WIDTH", "OBS_BOUNDS_SCALE_TO_HEIGHT", "OBS_BOUNDS_MAX_ONLY" or "OBS_BOUNDS_NONE". *bounds.alignment* type: int (optional) The new alignment of the bounding box. (0-2, 4-6, 8-10) *bounds.x* type: double (optional) The new width of the bounding box. *bounds.y* type: double (optional) The new height of the bounding box. """ def __init__(self, item, scene_name=None, position=None, rotation=None, scale=None, crop=None, visible=None, locked=None, bounds=None): Baserequests.__init__(self) self.name = 'SetSceneItemProperties' self.dataout['item'] = item self.dataout['scene-name'] = scene_name self.dataout['position'] = position self.dataout['rotation'] = rotation self.dataout['scale'] = scale self.dataout['crop'] = crop self.dataout['visible'] = visible self.dataout['locked'] = locked self.dataout['bounds'] = bounds class ResetSceneItem(Baserequests): """Reset a scene item. :Arguments: *scene_name* type: String (optional) Name of the scene the scene item belongs to. Defaults to the current scene. *item* type: String | Object Scene Item name (if this field is a string) or specification (if it is an object). *item.name* type: String (optional) Scene Item name (if the `item` field is an object) *item.id* type: int (optional) Scene Item ID (if the `item` field is an object) """ def __init__(self, item, scene_name=None): Baserequests.__init__(self) self.name = 'ResetSceneItem' self.dataout['item'] = item self.dataout['scene-name'] = scene_name class SetSceneItemRender(Baserequests): """Show or hide a specified source item in a specified scene. :Arguments: *scene_name* type: String (optional) Name of the scene the scene item belongs to. Defaults to the currently active scene. *source* type: String Scene Item name. *render* type: boolean true = shown ; false = hidden """ def __init__(self, source, render, scene_name=None): Baserequests.__init__(self) self.name = 'SetSceneItemRender' self.dataout['source'] = source self.dataout['render'] = render self.dataout['scene-name'] = scene_name class SetSceneItemPosition(Baserequests): """Sets the coordinates of a specified source item. :Arguments: *scene_name* type: String (optional) Name of the scene the scene item belongs to. Defaults to the current scene. *item* type: String Scene Item name. *x* type: double X coordinate. *y* type: double Y coordinate. """ def __init__(self, item, x, y, scene_name=None): Baserequests.__init__(self) self.name = 'SetSceneItemPosition' self.dataout['item'] = item self.dataout['x'] = x self.dataout['y'] = y self.dataout['scene-name'] = scene_name class SetSceneItemTransform(Baserequests): """Set the transform of the specified source item. :Arguments: *scene_name* type: String (optional) Name of the scene the scene item belongs to. Defaults to the current scene. *item* type: String Scene Item name. *x_scale* type: double Width scale factor. *y_scale* type: double Height scale factor. *rotation* type: double Source item rotation (in degrees). """ def __init__(self, item, x_scale, y_scale, rotation, scene_name=None): Baserequests.__init__(self) self.name = 'SetSceneItemTransform' self.dataout['item'] = item self.dataout['x-scale'] = x_scale self.dataout['y-scale'] = y_scale self.dataout['rotation'] = rotation self.dataout['scene-name'] = scene_name class SetSceneItemCrop(Baserequests): """Sets the crop coordinates of the specified source item. :Arguments: *scene_name* type: String (optional) Name of the scene the scene item belongs to. Defaults to the current scene. *item* type: String Scene Item name. *top* type: int Pixel position of the top of the source item. *bottom* type: int Pixel position of the bottom of the source item. *left* type: int Pixel position of the left of the source item. *right* type: int Pixel position of the right of the source item. """ def __init__(self, item, top, bottom, left, right, scene_name=None): Baserequests.__init__(self) self.name = 'SetSceneItemCrop' self.dataout['item'] = item self.dataout['top'] = top self.dataout['bottom'] = bottom self.dataout['left'] = left self.dataout['right'] = right self.dataout['scene-name'] = scene_name class DeleteSceneItem(Baserequests): """Deletes a scene item. :Arguments: *scene* type: String (optional) Name of the scene the scene item belongs to. Defaults to the current scene. *item* type: Object Scene item to delete (required) *item.name* type: String Scene Item name (prefer `id`, including both is acceptable). *item.id* type: int Scene Item ID. """ def __init__(self, item, scene=None): Baserequests.__init__(self) self.name = 'DeleteSceneItem' self.dataout['item'] = item self.dataout['scene'] = scene class AddSceneItem(Baserequests): """Creates a scene item in a scene. In other words, this is how you add a source into a scene. :Arguments: *sceneName* type: String Name of the scene to create the scene item in *sourceName* type: String Name of the source to be added *setVisible* type: boolean Whether to make the sceneitem visible on creation or not. Default `true` :Returns: *itemId* type: int Numerical ID of the created scene item """ def __init__(self, sceneName, sourceName, setVisible): Baserequests.__init__(self) self.name = 'AddSceneItem' self.datain['itemId'] = None self.dataout['sceneName'] = sceneName self.dataout['sourceName'] = sourceName self.dataout['setVisible'] = setVisible def getItemId(self): return self.datain['itemId'] class DuplicateSceneItem(Baserequests): """Duplicates a scene item. :Arguments: *fromScene* type: String (optional) Name of the scene to copy the item from. Defaults to the current scene. *toScene* type: String (optional) Name of the scene to create the item in. Defaults to the current scene. *item* type: Object Scene Item to duplicate from the source scene (required) *item.name* type: String Scene Item name (prefer `id`, including both is acceptable). *item.id* type: int Scene Item ID. :Returns: *scene* type: String Name of the scene where the new item was created *item* type: Object New item info *item.id* type: int New item ID *item.name* type: String New item name """ def __init__(self, item, fromScene=None, toScene=None): Baserequests.__init__(self) self.name = 'DuplicateSceneItem' self.datain['scene'] = None self.datain['item'] = None self.dataout['item'] = item self.dataout['fromScene'] = fromScene self.dataout['toScene'] = toScene def getScene(self): return self.datain['scene'] def getItem(self): return self.datain['item'] class SetCurrentScene(Baserequests): """Switch to the specified scene. :Arguments: *scene_name* type: String Name of the scene to switch to. """ def __init__(self, scene_name): Baserequests.__init__(self) self.name = 'SetCurrentScene' self.dataout['scene-name'] = scene_name class GetCurrentScene(Baserequests): """Get the current scene's name and source items. :Returns: *name* type: String Name of the currently active scene. *sources* type: Array<SceneItem> Ordered list of the current scene's source items. """ def __init__(self): Baserequests.__init__(self) self.name = 'GetCurrentScene' self.datain['name'] = None self.datain['sources'] = None def getName(self): return self.datain['name'] def getSources(self): return self.datain['sources'] class GetSceneList(Baserequests): """Get a list of scenes in the currently active profile. :Returns: *current_scene* type: String Name of the currently active scene. *scenes* type: Array<Scene> Ordered list of the current profile's scenes (See [GetCurrentScene](#getcurrentscene) for more information). """ def __init__(self): Baserequests.__init__(self) self.name = 'GetSceneList' self.datain['current-scene'] = None self.datain['scenes'] = None def getCurrentScene(self): return self.datain['current-scene'] def getScenes(self): return self.datain['scenes'] class CreateScene(Baserequests): """Create a new scene scene. :Arguments: *sceneName* type: String Name of the scene to create. """ def __init__(self, sceneName): Baserequests.__init__(self) self.name = 'CreateScene' self.dataout['sceneName'] = sceneName class ReorderSceneItems(Baserequests): """Changes the order of scene items in the requested scene. :Arguments: *scene* type: String (optional) Name of the scene to reorder (defaults to current). *items* type: Array<Scene> Ordered list of objects with name and/or id specified. Id preferred due to uniqueness per scene *items.*.id* type: int (optional) Id of a specific scene item. Unique on a scene by scene basis. *items.*.name* type: String (optional) Name of a scene item. Sufficiently unique if no scene items share sources within the scene. """ def __init__(self, items, scene=None): Baserequests.__init__(self) self.name = 'ReorderSceneItems' self.dataout['items'] = items self.dataout['scene'] = scene class SetSceneTransitionOverride(Baserequests): """Set a scene to use a specific transition override. :Arguments: *sceneName* type: String Name of the scene to switch to. *transitionName* type: String Name of the transition to use. *transitionDuration* type: int (Optional) Duration in milliseconds of the transition if transition is not fixed. Defaults to the current duration specified in the UI if there is no current override and this value is not given. """ def __init__(self, sceneName, transitionName, transitionDuration): Baserequests.__init__(self) self.name = 'SetSceneTransitionOverride' self.dataout['sceneName'] = sceneName self.dataout['transitionName'] = transitionName self.dataout['transitionDuration'] = transitionDuration class RemoveSceneTransitionOverride(Baserequests): """Remove any transition override on a scene. :Arguments: *sceneName* type: String Name of the scene to switch to. """ def __init__(self, sceneName): Baserequests.__init__(self) self.name = 'RemoveSceneTransitionOverride' self.dataout['sceneName'] = sceneName class GetSceneTransitionOverride(Baserequests): """Get the current scene transition override. :Arguments: *sceneName* type: String Name of the scene to switch to. :Returns: *transitionName* type: String Name of the current overriding transition. Empty string if no override is set. *transitionDuration* type: int Transition duration. `-1` if no override is set. """ def __init__(self, sceneName): Baserequests.__init__(self) self.name = 'GetSceneTransitionOverride' self.datain['transitionName'] = None self.datain['transitionDuration'] = None self.dataout['sceneName'] = sceneName def getTransitionName(self): return self.datain['transitionName'] def getTransitionDuration(self): return self.datain['transitionDuration'] class GetStreamingStatus(Baserequests): """Get current streaming and recording status. :Returns: *streaming* type: boolean Current streaming status. *recording* type: boolean Current recording status. *stream_timecode* type: String (optional) Time elapsed since streaming started (only present if currently streaming). *rec_timecode* type: String (optional) Time elapsed since recording started (only present if currently recording). *preview_only* type: boolean Always false. Retrocompatibility with OBSRemote. """ def __init__(self): Baserequests.__init__(self) self.name = 'GetStreamingStatus' self.datain['streaming'] = None self.datain['recording'] = None self.datain['stream-timecode'] = None self.datain['rec-timecode'] = None self.datain['preview-only'] = None def getStreaming(self): return self.datain['streaming'] def getRecording(self): return self.datain['recording'] def getStreamTimecode(self): return self.datain['stream-timecode'] def getRecTimecode(self): return self.datain['rec-timecode'] def getPreviewOnly(self): return self.datain['preview-only'] class StartStopStreaming(Baserequests): """Toggle streaming on or off (depending on the current stream state). """ def __init__(self): Baserequests.__init__(self) self.name = 'StartStopStreaming' class StartStreaming(Baserequests): """Start streaming. Will return an `error` if streaming is already active. :Arguments: *stream* type: Object (optional) Special stream configuration. Please note: these won't be saved to OBS' configuration. *stream.type* type: String (optional) If specified ensures the type of stream matches the given type (usually 'rtmp_custom' or 'rtmp_common'). If the currently configured stream type does not match the given stream type, all settings must be specified in the `settings` object or an error will occur when starting the stream. *stream.metadata* type: Object (optional) Adds the given object parameters as encoded query string parameters to the 'key' of the RTMP stream. Used to pass data to the RTMP service about the streaming. May be any String, Numeric, or Boolean field. *stream.settings* type: Object (optional) Settings for the stream. *stream.settings.server* type: String (optional) The publish URL. *stream.settings.key* type: String (optional) The publish key of the stream. *stream.settings.use_auth* type: boolean (optional) Indicates whether authentication should be used when connecting to the streaming server. *stream.settings.username* type: String (optional) If authentication is enabled, the username for the streaming server. Ignored if `use_auth` is not set to `true`. *stream.settings.password* type: String (optional) If authentication is enabled, the password for the streaming server. Ignored if `use_auth` is not set to `true`. """ def __init__(self, stream=None): Baserequests.__init__(self) self.name = 'StartStreaming' self.dataout['stream'] = stream class StopStreaming(Baserequests): """Stop streaming. Will return an `error` if streaming is not active. """ def __init__(self): Baserequests.__init__(self) self.name = 'StopStreaming' class SetStreamSettings(Baserequests): """Sets one or more attributes of the current streaming server settings. Any options not passed will remain unchanged. Returns the updated settings in response. If 'type' is different than the current streaming service type, all settings are required. Returns the full settings of the stream (the same as GetStreamSettings). :Arguments: *type* type: String The type of streaming service configuration, usually `rtmp_custom` or `rtmp_common`. *settings* type: Object The actual settings of the stream. *settings.server* type: String (optional) The publish URL. *settings.key* type: String (optional) The publish key. *settings.use_auth* type: boolean (optional) Indicates whether authentication should be used when connecting to the streaming server. *settings.username* type: String (optional) The username for the streaming service. *settings.password* type: String (optional) The password for the streaming service. *save* type: boolean Persist the settings to disk. """ def __init__(self, type, settings, save): Baserequests.__init__(self) self.name = 'SetStreamSettings' self.dataout['type'] = type self.dataout['settings'] = settings self.dataout['save'] = save class GetStreamSettings(Baserequests): """Get the current streaming server settings. :Returns: *type* type: String The type of streaming service configuration. Possible values: 'rtmp_custom' or 'rtmp_common'. *settings* type: Object Stream settings object. *settings.server* type: String The publish URL. *settings.key* type: String The publish key of the stream. *settings.use_auth* type: boolean Indicates whether authentication should be used when connecting to the streaming server. *settings.username* type: String The username to use when accessing the streaming server. Only present if `use_auth` is `true`. *settings.password* type: String The password to use when accessing the streaming server. Only present if `use_auth` is `true`. """ def __init__(self): Baserequests.__init__(self) self.name = 'GetStreamSettings' self.datain['type'] = None self.datain['settings'] = None def getType(self): return self.datain['type'] def getSettings(self): return self.datain['settings'] class SaveStreamSettings(Baserequests): """Save the current streaming server settings to disk. """ def __init__(self): Baserequests.__init__(self) self.name = 'SaveStreamSettings' class SendCaptions(Baserequests): """Send the provided text as embedded CEA-608 caption data. :Arguments: *text* type: String Captions text """ def __init__(self, text): Baserequests.__init__(self) self.name = 'SendCaptions' self.dataout['text'] = text class GetStudioModeStatus(Baserequests): """Indicates if Studio Mode is currently enabled. :Returns: *studio_mode* type: boolean Indicates if Studio Mode is enabled. """ def __init__(self): Baserequests.__init__(self) self.name = 'GetStudioModeStatus' self.datain['studio-mode'] = None def getStudioMode(self): return self.datain['studio-mode'] class GetPreviewScene(Baserequests): """Get the name of the currently previewed scene and its list of sources. Will return an `error` if Studio Mode is not enabled. :Returns: *name* type: String The name of the active preview scene. *sources* type: Array<SceneItem> """ def __init__(self): Baserequests.__init__(self) self.name = 'GetPreviewScene' self.datain['name'] = None self.datain['sources'] = None def getName(self): return self.datain['name'] def getSources(self): return self.datain['sources'] class SetPreviewScene(Baserequests): """Set the active preview scene. Will return an `error` if Studio Mode is not enabled. :Arguments: *scene_name* type: String The name of the scene to preview. """ def __init__(self, scene_name): Baserequests.__init__(self) self.name = 'SetPreviewScene' self.dataout['scene-name'] = scene_name class TransitionToProgram(Baserequests): """Transitions the currently previewed scene to the main output. Will return an `error` if Studio Mode is not enabled. :Arguments: *with_transition* type: Object (optional) Change the active transition before switching scenes. Defaults to the active transition. *with_transition.name* type: String Name of the transition. *with_transition.duration* type: int (optional) Transition duration (in milliseconds). """ def __init__(self, with_transition=None): Baserequests.__init__(self) self.name = 'TransitionToProgram' self.dataout['with-transition'] = with_transition class EnableStudioMode(Baserequests): """Enables Studio Mode. """ def __init__(self): Baserequests.__init__(self) self.name = 'EnableStudioMode' class DisableStudioMode(Baserequests): """Disables Studio Mode. """ def __init__(self): Baserequests.__init__(self) self.name = 'DisableStudioMode' class ToggleStudioMode(Baserequests): """Toggles Studio Mode (depending on the current state of studio mode). """ def __init__(self): Baserequests.__init__(self) self.name = 'ToggleStudioMode' class GetTransitionList(Baserequests): """List of all transitions available in the frontend's dropdown menu. :Returns: *current_transition* type: String Name of the currently active transition. *transitions* type: Array<Object> List of transitions. *transitions.*.name* type: String Name of the transition. """ def __init__(self): Baserequests.__init__(self) self.name = 'GetTransitionList' self.datain['current-transition'] = None self.datain['transitions'] = None def getCurrentTransition(self): return self.datain['current-transition'] def getTransitions(self): return self.datain['transitions'] class GetCurrentTransition(Baserequests): """Get the name of the currently selected transition in the frontend's dropdown menu. :Returns: *name* type: String Name of the selected transition. *duration* type: int (optional) Transition duration (in milliseconds) if supported by the transition. """ def __init__(self): Baserequests.__init__(self) self.name = 'GetCurrentTransition' self.datain['name'] = None self.datain['duration'] = None def getName(self): return self.datain['name'] def getDuration(self): return self.datain['duration'] class SetCurrentTransition(Baserequests): """Set the active transition. :Arguments: *transition_name* type: String The name of the transition. """ def __init__(self, transition_name): Baserequests.__init__(self) self.name = 'SetCurrentTransition' self.dataout['transition-name'] = transition_name class SetTransitionDuration(Baserequests): """Set the duration of the currently selected transition if supported. :Arguments: *duration* type: int Desired duration of the transition (in milliseconds). """ def __init__(self, duration): Baserequests.__init__(self) self.name = 'SetTransitionDuration' self.dataout['duration'] = duration class GetTransitionDuration(Baserequests): """Get the duration of the currently selected transition if supported. :Returns: *transition_duration* type: int Duration of the current transition (in milliseconds). """ def __init__(self): Baserequests.__init__(self) self.name = 'GetTransitionDuration' self.datain['transition-duration'] = None def getTransitionDuration(self): return self.datain['transition-duration'] class GetTransitionPosition(Baserequests): """Get the position of the current transition. :Returns: *position* type: double current transition position. This value will be between 0.0 and 1.0. Note: Transition returns 1.0 when not active. """ def __init__(self): Baserequests.__init__(self) self.name = 'GetTransitionPosition' self.datain['position'] = None def getPosition(self): return self.datain['position'] class GetTransitionSettings(Baserequests): """Get the current settings of a transition :Arguments: *transitionName* type: String Transition name :Returns: *transitionSettings* type: Object Current transition settings """ def __init__(self, transitionName): Baserequests.__init__(self) self.name = 'GetTransitionSettings' self.datain['transitionSettings'] = None self.dataout['transitionName'] = transitionName def getTransitionSettings(self): return self.datain['transitionSettings'] class SetTransitionSettings(Baserequests): """Change the current settings of a transition :Arguments: *transitionName* type: String Transition name *transitionSettings* type: Object Transition settings (they can be partial) :Returns: *transitionSettings* type: Object Updated transition settings """ def __init__(self, transitionName, transitionSettings): Baserequests.__init__(self) self.name = 'SetTransitionSettings' self.datain['transitionSettings'] = None self.dataout['transitionName'] = transitionName self.dataout['transitionSettings'] = transitionSettings def getTransitionSettings(self): return self.datain['transitionSettings'] class ReleaseTBar(Baserequests): """Release the T-Bar (like a user releasing their mouse button after moving it). *YOU MUST CALL THIS if you called `SetTBarPosition` with the `release` parameter set to `false`.* """ def __init__(self): Baserequests.__init__(self) self.name = 'ReleaseTBar' class SetTBarPosition(Baserequests): """ If your code needs to perform multiple successive T-Bar moves (e.g. : in an animation, or in response to a user moving a T-Bar control in your User Interface), set `release` to false and call `ReleaseTBar` later once the animation/interaction is over. :Arguments: *position* type: double T-Bar position. This value must be between 0.0 and 1.0. *release* type: boolean (optional) Whether or not the T-Bar gets released automatically after setting its new position (like a user releasing their mouse button after moving the T-Bar). Call `ReleaseTBar` manually if you set `release` to false. Defaults to true. """ def __init__(self, position, release=None): Baserequests.__init__(self) self.name = 'SetTBarPosition' self.dataout['position'] = position self.dataout['release'] = release

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1351156463c6a25e82b73e57ee20368b3d832d46

2,017

py

Python

app/grandchallenge/challenges/migrations/0023_auto_20200123_1102.py

njmhendrix/grand-challenge.org

9bc36f5e26561a78bd405e8ea5e4c0f86c95f011

[ "Apache-2.0" ]

1

2021-02-09T10:30:44.000Z

app/grandchallenge/challenges/migrations/0023_auto_20200123_1102.py

njmhendrix/grand-challenge.org

9bc36f5e26561a78bd405e8ea5e4c0f86c95f011

[ "Apache-2.0" ]

null

app/grandchallenge/challenges/migrations/0023_auto_20200123_1102.py

njmhendrix/grand-challenge.org

9bc36f5e26561a78bd405e8ea5e4c0f86c95f011

[ "Apache-2.0" ]

null

# Generated by Django 3.0.2 on 2020-01-23 11:02 import re import django.contrib.postgres.fields.citext import django.core.validators from django.db import migrations import grandchallenge.challenges.models class Migration(migrations.Migration): dependencies = [ ("challenges", "0022_auto_20200121_1639"), ] operations = [ migrations.AlterField( model_name="challenge", name="short_name", field=django.contrib.postgres.fields.citext.CICharField( help_text="short name used in url, specific css, files etc. No spaces allowed", max_length=50, unique=True, validators=[ grandchallenge.challenges.models.validate_nounderscores, django.core.validators.RegexValidator( re.compile("^[-a-zA-Z0-9_]+\\Z"), "Enter a valid “slug” consisting of letters, numbers, underscores or hyphens.", "invalid", ), grandchallenge.challenges.models.validate_short_name, ], ), ), migrations.AlterField( model_name="externalchallenge", name="short_name", field=django.contrib.postgres.fields.citext.CICharField( help_text="short name used in url, specific css, files etc. No spaces allowed", max_length=50, unique=True, validators=[ grandchallenge.challenges.models.validate_nounderscores, django.core.validators.RegexValidator( re.compile("^[-a-zA-Z0-9_]+\\Z"), "Enter a valid “slug” consisting of letters, numbers, underscores or hyphens.", "invalid", ), grandchallenge.challenges.models.validate_short_name, ], ), ), ]

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null

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1

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null

0

3

1354ab456ba9280a4363560bf56997305ed54a5f

3,692

py

Python

BaseTools/Source/Python/UPT/Object/Parser/InfMisc.py

KaoTuz/edk2-stable202108

49d9306e7bf64b2f07d8473be1f2faea49d0a012

[ "Python-2.0", "Zlib", "BSD-2-Clause", "MIT", "BSD-2-Clause-Patent", "BSD-3-Clause" ]

9

2021-07-26T17:02:51.000Z

2021-12-30T10:49:46.000Z

BaseTools/Source/Python/UPT/Object/Parser/InfMisc.py

ESdove/edk2_exploring

34ff32b45f43d233d9696e7c8e3de68ea3000a7b

[ "Python-2.0", "Zlib", "BSD-2-Clause", "MIT", "BSD-2-Clause-Patent", "BSD-3-Clause" ]

null

BaseTools/Source/Python/UPT/Object/Parser/InfMisc.py

ESdove/edk2_exploring

34ff32b45f43d233d9696e7c8e3de68ea3000a7b

[ "Python-2.0", "Zlib", "BSD-2-Clause", "MIT", "BSD-2-Clause-Patent", "BSD-3-Clause" ]

null

## @file # This file is used to define class objects of INF file miscellaneous. # Include BootMode/HOB/Event and others. It will consumed by InfParser. # # Copyright (c) 2011 - 2018, Intel Corporation. All rights reserved.<BR> # # SPDX-License-Identifier: BSD-2-Clause-Patent ''' InfMisc ''' import Logger.Log as Logger from Logger import ToolError from Library import DataType as DT from Object.Parser.InfCommonObject import InfSectionCommonDef from Library.Misc import Sdict ## # BootModeObject # class InfBootModeObject(): def __init__(self): self.SupportedBootModes = '' self.HelpString = '' self.Usage = '' def SetSupportedBootModes(self, SupportedBootModes): self.SupportedBootModes = SupportedBootModes def GetSupportedBootModes(self): return self.SupportedBootModes def SetHelpString(self, HelpString): self.HelpString = HelpString def GetHelpString(self): return self.HelpString def SetUsage(self, Usage): self.Usage = Usage def GetUsage(self): return self.Usage ## # EventObject # class InfEventObject(): def __init__(self): self.EventType = '' self.HelpString = '' self.Usage = '' def SetEventType(self, EventType): self.EventType = EventType def GetEventType(self): return self.EventType def SetHelpString(self, HelpString): self.HelpString = HelpString def GetHelpString(self): return self.HelpString def SetUsage(self, Usage): self.Usage = Usage def GetUsage(self): return self.Usage ## # HobObject # class InfHobObject(): def __init__(self): self.HobType = '' self.Usage = '' self.SupArchList = [] self.HelpString = '' def SetHobType(self, HobType): self.HobType = HobType def GetHobType(self): return self.HobType def SetUsage(self, Usage): self.Usage = Usage def GetUsage(self): return self.Usage def SetSupArchList(self, ArchList): self.SupArchList = ArchList def GetSupArchList(self): return self.SupArchList def SetHelpString(self, HelpString): self.HelpString = HelpString def GetHelpString(self): return self.HelpString ## # InfSpecialCommentObject # class InfSpecialCommentObject(InfSectionCommonDef): def __init__(self): self.SpecialComments = Sdict() InfSectionCommonDef.__init__(self) def SetSpecialComments(self, SepcialSectionList = None, Type = ''): if Type == DT.TYPE_HOB_SECTION or \ Type == DT.TYPE_EVENT_SECTION or \ Type == DT.TYPE_BOOTMODE_SECTION: for Item in SepcialSectionList: if Type in self.SpecialComments: ObjList = self.SpecialComments[Type] ObjList.append(Item) self.SpecialComments[Type] = ObjList else: ObjList = [] ObjList.append(Item) self.SpecialComments[Type] = ObjList return True def GetSpecialComments(self): return self.SpecialComments ## ErrorInInf # # An encapsulate of Error for INF parser. # def ErrorInInf(Message=None, ErrorCode=None, LineInfo=None, RaiseError=True): if ErrorCode is None: ErrorCode = ToolError.FORMAT_INVALID if LineInfo is None: LineInfo = ['', -1, ''] Logger.Error("InfParser", ErrorCode, Message=Message, File=LineInfo[0], Line=LineInfo[1], ExtraData=LineInfo[2], RaiseError=RaiseError)

25.818182

77

0.628115

359

3,692

6.384401

0.320334

0.073298

0.06719

0.026178

0.287086

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0.206806

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0.283315

3,692

142

78

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false

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0

null

0

null

0

1

0

1

0

3

135a363584e253a0fd487ab5902e769a0e03931f

1,236

py

Python

src/part_2_automation/test_test1.py

AndreiHustiuc/IT_Factory_Course

c6f3e4a9282a1c19c0f52c79f0c81f026814a02a

[ "MIT" ]

null

src/part_2_automation/test_test1.py

AndreiHustiuc/IT_Factory_Course

c6f3e4a9282a1c19c0f52c79f0c81f026814a02a

[ "MIT" ]

null

src/part_2_automation/test_test1.py

AndreiHustiuc/IT_Factory_Course

c6f3e4a9282a1c19c0f52c79f0c81f026814a02a

[ "MIT" ]

1

2022-03-16T10:39:03.000Z

# Generated by Selenium IDE import pytest import time import json from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver.common.action_chains import ActionChains from selenium.webdriver.support import expected_conditions from selenium.webdriver.support.wait import WebDriverWait from selenium.webdriver.common.keys import Keys from selenium.webdriver.common.desired_capabilities import DesiredCapabilities class TestTest1(): def setup_method(self, method): self.driver = webdriver.Chrome() self.vars = {} def teardown_method(self, method): self.driver.quit() def test_test1(self): self.driver.get("https://www.wikipedia.org/") self.driver.set_window_size(1920, 1040) self.driver.find_element(By.ID, "searchInput").click() self.driver.find_element(By.ID, "searchInput").send_keys("Romania") self.driver.find_element(By.ID, "searchInput").send_keys(Keys.ENTER) self.driver.find_element(By.CSS_SELECTOR, ".tocsection-21 .toctext").click() self.driver.execute_script("window.scrollTo(0,10634)") self.driver.find_element(By.CSS_SELECTOR, ".thumb:nth-child(30) .thumbimage").click() self.driver.execute_script("window.scrollTo(0,0)")

38.625

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0.768608

166

1,236

5.608434

0.415663

0.118153

0.135338

0.112782

0.354458

0.298604

0.186896

0.094522

0

0.020018

0.110841

1,236

31

90

39.870968

0.827116

0.020227

0

1

0

0.136476

0.019851

0

1

0.115385

false

0

0.384615

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0.538462

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null

0

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null

0

1

0

1

0

3

135f9b393c2da1b1ae7cb6b4ea51c6e47c87c3b3

2,976

py

Python

web3/_utils/module_testing/math_contract.py

y19818/web3.py

32a85a287ab63220d1e0c06d77be74de595ff02f

[ "MIT" ]

null

web3/_utils/module_testing/math_contract.py

y19818/web3.py

32a85a287ab63220d1e0c06d77be74de595ff02f

[ "MIT" ]

null

web3/_utils/module_testing/math_contract.py

y19818/web3.py

32a85a287ab63220d1e0c06d77be74de595ff02f

[ "MIT" ]

null

MATH_BYTECODE = ( "606060405261022e806100126000396000f360606040523615610074576000357c01000000000000" "000000000000000000000000000000000000000000009004806316216f391461007657806361bc22" "1a146100995780637cf5dab0146100bc578063a5f3c23b146100e8578063d09de08a1461011d5780" "63dcf537b11461014057610074565b005b610083600480505061016c565b60405180828152602001" "91505060405180910390f35b6100a6600480505061017f565b604051808281526020019150506040" "5180910390f35b6100d26004808035906020019091905050610188565b6040518082815260200191" "505060405180910390f35b61010760048080359060200190919080359060200190919050506101ea" "565b6040518082815260200191505060405180910390f35b61012a6004805050610201565b604051" "8082815260200191505060405180910390f35b610156600480803590602001909190505061021756" "5b6040518082815260200191505060405180910390f35b6000600d9050805080905061017c565b90" "565b60006000505481565b6000816000600082828250540192505081905550600060005054905080" "507f3496c3ede4ec3ab3686712aa1c238593ea6a42df83f98a5ec7df9834cfa577c5816040518082" "815260200191505060405180910390a18090506101e5565b919050565b6000818301905080508090" "506101fb565b92915050565b600061020d6001610188565b9050610214565b90565b600060078202" "90508050809050610229565b91905056" ) MATH_ABI = [ { "constant": False, "inputs": [], "name": "return13", "outputs": [ {"name": "result", "type": "int256"}, ], "type": "function", }, { "constant": True, "inputs": [], "name": "counter", "outputs": [ {"name": "", "type": "uint256"}, ], "type": "function", }, { "constant": False, "inputs": [ {"name": "amt", "type": "uint256"}, ], "name": "increment", "outputs": [ {"name": "result", "type": "uint256"}, ], "type": "function", }, { "constant": False, "inputs": [ {"name": "a", "type": "int256"}, {"name": "b", "type": "int256"}, ], "name": "add", "outputs": [ {"name": "result", "type": "int256"}, ], "type": "function", }, { "constant": False, "inputs": [], "name": "increment", "outputs": [ {"name": "", "type": "uint256"}, ], "type": "function" }, { "constant": False, "inputs": [ {"name": "a", "type": "int256"}, ], "name": "multiply7", "outputs": [ {"name": "result", "type": "int256"}, ], "type": "function", }, { "anonymous": False, "inputs": [ {"indexed": False, "name": "value", "type": "uint256"}, ], "name": "Increased", "type": "event", }, ]

32.347826

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0.055394

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0.110787

0

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0.287298

2,976

91

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32.703297

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0.399445

0

1

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false

0

1

null

0

1

0

1

0

null

0

3

13662d9d6240c63c9a734dfc856cbc7f4107d5e2

160

py

Python

objects/fun_return.py

padmacho/pythontutorial

80c58d2d6efc0c3598f92b627338c6cd9fda1759

[ "Apache-2.0" ]

null

objects/fun_return.py

padmacho/pythontutorial

80c58d2d6efc0c3598f92b627338c6cd9fda1759

[ "Apache-2.0" ]

null

objects/fun_return.py

padmacho/pythontutorial

80c58d2d6efc0c3598f92b627338c6cd9fda1759

[ "Apache-2.0" ]

null

def modify(y): return y # returns same reference. No new object is created x = [1, 2, 3] y = modify(x) print("x == y", x == y) print("x == y", x is y)

26.666667

65

0.55625

31

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2.870968

0.548387

0.067416

0.157303

0.179775

0

0.025424

0.2625

160

6

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26.666667

0.728814

0.3

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false

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0.333333

0

null

0

1

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1

0

null

0

1

0

3

136832386a64df8b748feecd13c99a4dc30fc9d5

735

py

Python

test/test_utils.py

by46/recipe

203abd2141a536b66b4e57d073169a49395be1f0

[ "MIT" ]

null

test/test_utils.py

by46/recipe

203abd2141a536b66b4e57d073169a49395be1f0

[ "MIT" ]

null

test/test_utils.py

by46/recipe

203abd2141a536b66b4e57d073169a49395be1f0

[ "MIT" ]

null

import unittest from recipe import utils class UtilTestCase(unittest.TestCase): def test_valid_project_slug(self): project_slug = "Recipe0123456789_mock" self.assertTrue(utils.valid_project_slug(project_slug)) project_slug = 'Recipe00000000000000000000000000000000000000000000' self.assertTrue(utils.valid_project_slug(project_slug)) project_slug = "" self.assertFalse(utils.valid_project_slug(project_slug)) project_slug = "Recipe000000000000000000000000000000000000000000001" self.assertFalse(utils.valid_project_slug(project_slug)) project_slug = "-!@#$%^&*()_+" self.assertFalse(utils.valid_project_slug(project_slug))

33.409091

77

0.719728

70

735

7.2

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0.349206

0.321429

0.392857

0.549603

0

0.166948

0.193197

735

21

78

35

0.682968

0

0.357143

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0.189076

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0.071429

false

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0.285714

0

null

1

0

null

0

3

13716a3c1d81e757e4d87853e2f35128b1e83ff1

5,329

py

Python

src/pkgcore/restrictions/restriction.py

mgorny/pkgcore

ab4a718aa1626f4edeb385383f5595a1e262b0dc

[ "BSD-3-Clause" ]

null

src/pkgcore/restrictions/restriction.py

mgorny/pkgcore

ab4a718aa1626f4edeb385383f5595a1e262b0dc

[ "BSD-3-Clause" ]

null

src/pkgcore/restrictions/restriction.py

mgorny/pkgcore

ab4a718aa1626f4edeb385383f5595a1e262b0dc

[ "BSD-3-Clause" ]

null

# Copyright: 2005-2012 Brian Harring <[email protected] # Copyright: 2006 Marien Zwart <[email protected]> # License: BSD/GPL2 """ base restriction class """ from functools import partial from snakeoil import caching, klass from snakeoil.currying import pretty_docs class base(object, metaclass=caching.WeakInstMeta): """base restriction matching object. all derivatives *should* be __slot__ based (lot of instances may wind up in memory). """ __inst_caching__ = True # __weakref__ here is implicit via the metaclass __slots__ = () package_matching = False klass.inject_immutable_instance(locals()) def match(self, *arg, **kwargs): raise NotImplementedError def force_False(self, *arg, **kwargs): return not self.match(*arg, **kwargs) def force_True(self, *arg, **kwargs): return self.match(*arg, **kwargs) def __len__(self): return 1 class AlwaysBool(base): """restriction that always yields a specific boolean""" __slots__ = ("type", "negate") __inst_caching__ = True def __init__(self, node_type=None, negate=False): """ :param node_type: the restriction type the instance should be, typically :obj:`pkgcore.restrictions.packages.package_type` or :obj:`pkgcore.restrictions.values.value_type` :param negate: boolean to return for the match """ object.__setattr__(self, "negate", negate) object.__setattr__(self, "type", node_type) def match(self, *a, **kw): return self.negate def force_True(self, *a, **kw): return self.negate def force_False(self, *a, **kw): return not self.negate def __iter__(self): return iter(()) def __str__(self): return f"always '{self.negate}'" def __repr__(self): return '<%s always %r @%#8x>' % ( self.__class__.__name__, self.negate, id(self)) def __getstate__(self): return self.negate, self.type def __setstate__(self, state): negate, node_type = state object.__setattr__(self, "negate", negate) object.__setattr__(self, "type", node_type) class Negate(base): """wrap and negate a restriction instance""" __slots__ = ("type", "_restrict") __inst_caching__ = False def __init__(self, restrict): """ :param restrict: :obj:`pkgcore.restrictions.restriction.base` instance to negate """ sf = object.__setattr__ sf(self, "type", restrict.type) sf(self, "_restrict", restrict) def match(self, *a, **kw): return not self._restrict.match(*a, **kw) def __str__(self): return "not (%s)" % self._restrict class FakeType(base): """wrapper to wrap and fake a node_type""" __slots__ = ("type", "_restrict") __inst_caching__ = False def __init__(self, restrict, new_type): """ :param restrict: :obj:`pkgcore.restrictions.restriction.base` instance to wrap :param new_type: new node_type """ sf = object.__setattr__ sf(self, "type", new_type) sf(self, "_restrict", restrict) def match(self, *a, **kw): return self._restrict.match(*a, **kw) def __str__(self): return "Faked type(%s): %s" % (self.type, self._restrict) class AnyMatch(base): """Apply a nested restriction to every item in a sequence.""" __slots__ = ('restriction', 'type', 'negate') def __init__(self, childrestriction, node_type, negate=False): """Initialize. :type childrestriction: restriction :param childrestriction: child restriction applied to every value. :type node_type: string :param node_type: type of this restriction. """ sf = object.__setattr__ sf(self, "negate", negate) sf(self, "restriction", childrestriction) sf(self, "type", node_type) def match(self, val): for x in val: if self.restriction.match(x): return not self.negate return self.negate def __str__(self): return "any: %s match" % (self.restriction,) def __repr__(self): return '<%s restriction=%r @%#8x>' % ( self.__class__.__name__, self.restriction, id(self)) def curry_node_type(cls, node_type, extradoc=None): """Helper function for creating restrictions of a certain type. This uses :obj:`partial` to pass a node_type to the wrapped class, and extends the docstring. :param cls: callable (usually a class) that is wrapped. :param node_type: value passed as node_type. :param extradoc: addition to the docstring. Defaults to "Automatically set to %s type." % node_type :return: a wrapped callable. """ if extradoc is None: extradoc = "Automatically set to %s type." % (node_type,) doc = cls.__doc__ result = partial(cls, node_type=node_type) if doc is None: doc = '' else: # do this so indentation on pydoc __doc__ is sane doc = "\n".join(line.lstrip() for line in doc.split("\n")) + "\n" doc += extradoc return pretty_docs(result, doc) value_type = "values" package_type = "package" valid_types = (value_type, package_type)

27.611399

78

0.627698

645

5,329

4.869767

0.268217

0.050939

0.026743

0.020694

0.279529

0.24801

0.212034

0.180834

0.161095

0.099968

0

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0.25577

5,329

192

79

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0.289923

0

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false

0

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0

null

0

null

0

1

0

1

0

3

137960c813f4163613ba4247cf3f11614175c045

320

py

Python

Lekcija08/script01.py

islamspahic/python-uup

ea7c9c655ad8e678bca5ee52138836732266799f

[ "Apache-2.0" ]

null

Lekcija08/script01.py

islamspahic/python-uup

ea7c9c655ad8e678bca5ee52138836732266799f

[ "Apache-2.0" ]

null

Lekcija08/script01.py

islamspahic/python-uup

ea7c9c655ad8e678bca5ee52138836732266799f

[ "Apache-2.0" ]

null

tajniBroj = 51 broj = 2 while tajniBroj != broj: broj = int(input("Pogodite tajni broj: ")) if tajniBroj == broj: print("Pogodak!") elif tajniBroj < broj: print("Tajni broj je manji od tog broja.") else: print("Tajni broj je veci od tog broja.") print("Kraj programa")

21.333333

50

0.590625

41

320

4.609756

0.536585

0.206349

0.190476

0.169312

0

0.013216

0.290625

320

14

51

22.857143

0.819383

0

0.334375

0

1

0

false

0

0.363636

0

null

1

0

null

0

3

137bf77da0a4c318b41b184deddd1c0849f9d010

11,196

py

Python

verification/tb_template.py

ahmednofal/DFFRAM

7d7ebc28befe12ec3f232c0d2f5b8ea786227d45

[ "Apache-2.0" ]

null

verification/tb_template.py

ahmednofal/DFFRAM

7d7ebc28befe12ec3f232c0d2f5b8ea786227d45

[ "Apache-2.0" ]

null

verification/tb_template.py

ahmednofal/DFFRAM

7d7ebc28befe12ec3f232c0d2f5b8ea786227d45

[ "Apache-2.0" ]

null

# Copyright ©2020-2021 The American University in Cairo and the Cloud V Project. # # This file is part of the DFFRAM Memory Compiler. # See https://github.com/Cloud-V/DFFRAM for further info. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. RAM_instantiation = """ /* An auto generated testbench to verify RAM{word_num}x{word_size} Authors: Mohamed Shalan ([email protected]) Ahmed Nofal ([email protected]) */ `define VERBOSE_1 `define VERBOSE_2 `define UNIT_DELAY #1 `define USE_LATCH 1 `define SIZE {word_size}/8 //`include "{pdk_root}/sky130A/libs.ref/sky130_fd_sc_hd/verilog/primitives.v" //`include "{pdk_root}/sky130A/libs.ref/sky130_fd_sc_hd/verilog/sky130_fd_sc_hd.v" // // Temporary override: IcarusVerilog cannot read these for some reason ^ `include "hd_primitives.v" `include "hd_functional.v" `include "{filename}" module tb_RAM{word_num}x{word_size}; localparam SIZE = `SIZE; localparam A_W = {addr_width}+$clog2(SIZE); localparam M_SZ = 2**A_W; reg CLK; reg [(SIZE-1):0] WE0; reg EN0; reg [(SIZE*8-1):0] Di0; wire [(SIZE*8-1):0] Do0; reg [A_W-1:0] A0, ADDR; reg [7:0] Phase; reg [7:0] RANDOM_BYTE; event done; RAM{word_num} #(.USE_LATCH(`USE_LATCH), .WSIZE(SIZE)) SRAM ( .CLK(CLK), .WE0(WE0), .EN0(EN0), .Di0(Di0), .Do(Do0), .A0(A0[A_W-1:$clog2(SIZE)]) ); initial begin $dumpfile("tb_RAM{word_num}x{word_size}.vcd"); $dumpvars(0, tb_RAM{word_num}x{word_size}); @(done) $finish; end /* Memory golden Model */ reg [(SIZE*8-1):0] RAM[(M_SZ)-1 : 0]; reg [(SIZE*8-1):0] RAM_DATA_RW; genvar c; generate for (c=0; c < SIZE; c = c+1) begin: mem_golden_model always @(posedge CLK) begin if(EN0) begin RAM_DATA_RW <= RAM[A0/SIZE]; if(WE0[c]) RAM[A0/SIZE][8*(c+1)-1:8*c] <= Di0[8*(c+1)-1:8*c]; end end end endgenerate """ begin_single_ported_test = """ initial begin CLK = 0; WE0 = 0; EN0 = 1; """ single_ported_custom_test = """ Phase = 0; // Perform a single word write then read mem_write_word({{SIZE{{8'h90}}}}, 4); mem_read_word_0(4); """ RAM_instantiation_1RW1R = """ /* An auto generated testbench to verify RAM{word_num}x{word_size} Authors: Mohamed Shalan ([email protected]) Ahmed Nofal ([email protected]) */ `define VERBOSE_1 `define VERBOSE_2 `define UNIT_DELAY #1 `define USE_LATCH 1 `define SIZE {word_size}/8 //`include "{pdk_root}/sky130A/libs.ref/sky130_fd_sc_hd/verilog/primitives.v" //`include "{pdk_root}/sky130A/libs.ref/sky130_fd_sc_hd/verilog/sky130_fd_sc_hd.v" // // Temporary override: IcarusVerilog cannot read these for some reason ^ `include "hd_primitives.v" `include "hd_functional.v" `include "{filename}" module tb_RAM{word_num}x{word_size}_1RW1R; localparam SIZE = `SIZE; localparam A_W = {addr_width}+$clog2(SIZE); localparam M_SZ = 2**A_W; reg CLK; reg [(SIZE-1):0] WE0; reg EN0; reg ENR; reg [(SIZE*8-1):0] Di0; wire [(SIZE*8-1):0] Do0; wire [(SIZE*8-1):0] Do1; reg [A_W-1:0] A0, A1, ADDR; reg [7:0] Phase; reg [7:0] RANDOM_BYTE; event done; RAM{word_num}_1RW1R #(.USE_LATCH(`USE_LATCH), .WSIZE(`SIZE)) SRAM ( .CLK(CLK), .WE0(WE0), .EN0(EN0), .EN1(ENR), .Di0(Di0), .Do0(Do0), .Do1(Do1), .A0(A0[A_W-1:$clog2(SIZE)]), .A1(A1[A_W-1:$clog2(SIZE)]) ); initial begin $dumpfile("tb_RAM{word_num}x{word_size}_1RW1R.vcd"); $dumpvars(0, tb_RAM{word_num}x{word_size}_1RW1R); @(done) $finish; end /* Memory golden Model */ reg [(SIZE*8-1):0] RAM[(M_SZ)-1 : 0]; reg [(SIZE*8-1):0] RAM_DATA_RW; reg [(SIZE*8-1):0] RAM_DATA_R; genvar c; generate for (c=0; c < SIZE; c = c+1) begin: mem_golden_model always @(posedge CLK) begin if(EN0) begin RAM_DATA_RW <= RAM[A0/SIZE]; if(WE0[c]) RAM[A0/SIZE][8*(c+1)-1:8*c] <= Di0[8*(c+1)-1:8*c]; end if (ENR) begin RAM_DATA_R <= RAM[A1/SIZE]; end end end endgenerate """ begin_dual_ported_test = """ initial begin CLK = 0; WE0 = 0; EN0 = 1; ENR = 1; """ dual_ported_custom_test = """ Phase = 0; // Perform a 2 word write then read 2 words mem_write_word({{SIZE{{8'h90}}}}, 4); mem_write_word({{SIZE{{8'h33}}}}, 8); mem_read_2words(4,8); """ start_test_common = """ always #10 CLK = !CLK; integer i; """ test_port_1RW1R = """ /*********************************************************** Write and read from different ports ************************************************************/ // Fill the memory with a known pattern // Word Write then Read Phase = 1; `ifdef VERBOSE_1 $display("\\nFinished Phase 0, starting Phase 1"); `endif for(i=0; i<M_SZ; i=i+SIZE) begin ADDR = (($urandom%M_SZ)) & 'hFFFF_FFFC ; RANDOM_BYTE = $urandom; mem_write_word( {SIZE{RANDOM_BYTE}}, ADDR); mem_read_word_1( ADDR ); end // HWord Write then Read Phase = 2; `ifdef VERBOSE_1 $display("\\nFinished Phase 1, starting Phase 2"); `endif for(i=0; i<M_SZ; i=i+SIZE/2) begin ADDR = (($urandom%M_SZ)) & 'hFFFF_FFFE; RANDOM_BYTE = $urandom; mem_write_hword( {SIZE/2{RANDOM_BYTE}}, ADDR); mem_read_word_1( ADDR & {{SIZE-1{8'hFF}}, 8'hFC} ); end // Byte Write then Read Phase = 3; `ifdef VERBOSE_1 $display("\\nFinished Phase 2, starting Phase 3"); `endif for(i=0; i<M_SZ; i=i+1) begin ADDR = (($urandom%M_SZ)); mem_write_byte($urandom%255, ADDR); mem_read_word_1(ADDR & {{SIZE-1{8'hFF}}, 8'hFC} ); end """ test_port_RW = """ /*********************************************************** Write and read from same port ************************************************************/ Phase = 4; `ifdef VERBOSE_1 $display("\\nFinished Phase 3, starting Phase 4"); `endif for(i=0; i<M_SZ; i=i+SIZE) begin ADDR = (($urandom%M_SZ)) & 'hFFFF_FFFC ; RANDOM_BYTE = $urandom; mem_write_word( {SIZE{RANDOM_BYTE}}, ADDR); mem_read_word_0( ADDR ); end // HWord Write then Read Phase = 5; `ifdef VERBOSE_1 $display("\\nFinished Phase 4, starting Phase 5"); `endif for(i=0; i<M_SZ; i=i+SIZE/2) begin ADDR = (($urandom%M_SZ)) & 'hFFFF_FFFE; RANDOM_BYTE = $urandom; mem_write_hword( {SIZE/2{RANDOM_BYTE}}, ADDR); mem_read_word_0( ADDR & {{SIZE-1{8'hFF}}, 8'hFC} ); end // Byte Write then Read Phase = 6; `ifdef VERBOSE_1 $display("\\nFinished Phase 5, starting Phase 6"); `endif for(i=0; i<M_SZ; i=i+1) begin ADDR = (($urandom%M_SZ)); mem_write_byte($urandom%255, ADDR); mem_read_word_0(ADDR & {{SIZE-1{8'hFF}}, 8'hFC} ); end $display ("\\n>> Test Passed! <<\\n"); -> done; """ end_test = """ end """ tasks = """ task mem_write_byte(input [7:0] byte, input [A_W-1:0] addr); begin @(posedge CLK); A0 = addr;//[A_WIDTH:2]; WE0 = (1 << addr[$clog2(SIZE)-1:0]); Di0 = (byte << (addr[$clog2(SIZE)-1:0] * 8)); @(posedge CLK); `ifdef VERBOSE_2 $display("WRITE BYTE: 0x%X to %0X(%0D) (0x%X, %B)", byte, addr, addr, Di0, WE0); `endif WE0 = {SIZE{8'h00}}; end endtask task mem_write_hword(input [SIZE*8-1:0] hword, input [A_W-1:0] addr); begin @(posedge CLK); A0 = addr;//[A_WIDTH:$clog2(SIZE)]; WE0 = {{SIZE/2{addr[$clog2(SIZE)-1]}},{SIZE/2{~addr[$clog2(SIZE)-1]}}}; Di0 = (hword << (addr[$clog2(SIZE)-1] * (SIZE/2)*8)); @(posedge CLK); `ifdef VERBOSE_2 $display("WRITE HWORD: 0x%X to %0X(%0D) (0x%X, %B)", hword, addr, addr, Di0, WE0); `endif WE0 = {SIZE{8'h00}}; end endtask task mem_write_word(input [SIZE*8-1:0] word, input [A_W-1:0] addr); begin @(posedge CLK); A0 = addr; WE0 = {SIZE{8'hFF}}; Di0 = word; @(posedge CLK); `ifdef VERBOSE_2 $display("WRITE WORD: 0x%X to %0X(%0D) (0x%X, %B)", word, addr, addr, Di0, WE0); `endif WE0 = {SIZE{8'h00}}; end endtask task mem_read_word_0(input [A_W-1:0] addr); begin @(posedge CLK); A0 = addr;//[9:2]; WE0 = {SIZE{8'h00}}; @(posedge CLK); #5; `ifdef VERBOSE_2 $display("READ WORD: 0x%X from %0D", Do0, addr); `endif check0(); end endtask task check0; begin if(RAM_DATA_RW !== Do0) begin $display("\\n>>Test Failed! <<\\t(Phase: %0d, Iteration: %0d", Phase, i); $display("Address: 0x%X, READ: 0x%X - Should be: 0x%X", A0, Do0, RAM[A0/SIZE]); $fatal(1); end end endtask """ dual_ported_tasks = """ task mem_read_2words(input [A_W-1:0] addr0, input [A_W-1:0] addr1); begin @(posedge CLK); A0= addr0;//[9:2]; A1= addr1;//[9:2]; WE0 = {SIZE{8'h00}}; @(posedge CLK); #5; `ifdef VERBOSE_2 $display("READ WORD0: 0x%X from %0D", Do0, addr0); $display("READ WORD1: 0x%X from %0D", Do1, addr1); `endif check0(); check1(); end endtask task mem_read_word_1(input [A_W-1:0] addr); begin @(posedge CLK); A1 = addr;//[9:2]; WE0 = {SIZE{8'h00}}; @(posedge CLK); #5; `ifdef VERBOSE_2 $display("READ WORD: 0x%X from %0D", Do1, addr); `endif check1(); end endtask task check1; begin if(RAM_DATA_R !== Do1) begin $display("\\n>>Test Failed! <<\\t(Phase: %0d, Iteration: %0d", Phase, i); $display("Address: 0x%X, READ: 0x%X - Should be: 0x%X", A1, Do1, RAM[A1/SIZE]); $fatal(1); end end endtask """ endmodule = """ endmodule """

27.108959

91

0.530368

1,579

11,196

3.616213

0.155161

0.009457

0.012609

0.014711

0.741506

0.711033

0.648336

0.616112

0.583888

0.578984

0

0.05727

0.296624

11,196

412

92

27.174757

0.667683

0.062969

0

0.713864

0

0.041298

0.964197

0.164121

0

1

0

false

0.00295

0

null

0

1

0

1

0

1

0

null

0

3

139b3faa5c126c4a50efcad5c0824965049d5697

258

py

Python

venv/lib/python3.7/site-packages/leancloud/engine/utils.py

corgiclub/CorgiBot_telegram

a63d91a74ee497b9a405e93bd3b303367ef95268

[ "MIT" ]

null

venv/lib/python3.7/site-packages/leancloud/engine/utils.py

corgiclub/CorgiBot_telegram

a63d91a74ee497b9a405e93bd3b303367ef95268

[ "MIT" ]

null

venv/lib/python3.7/site-packages/leancloud/engine/utils.py

corgiclub/CorgiBot_telegram

a63d91a74ee497b9a405e93bd3b303367ef95268

[ "MIT" ]

null

# coding: utf-8 import time import hashlib import leancloud from leancloud._compat import to_bytes __author__ = 'asaka <[email protected]>' def sign_by_key(timestamp, key): return hashlib.md5(to_bytes('{0}{1}'.format(timestamp, key))).hexdigest()

18.428571

77

0.748062

37

258

4.972973

0.702703

0.076087

0

0.017699

0.124031

258

13

78

19.846154

0.79646

0.050388

0

0.135802

0.08642

0

1

0.142857

false

0

0.571429

0.142857

0.857143

0

null

0

null

0

1

0

3

13a7639121bf30f43e2268fe97c114969714293e

1,225

py

Python

listener/src/ethereum_connection.py

NicolasMenendez/oracles-dashboard

789e4a771c9f7064a19a85ef1b4f44bcbbac1a10

[ "MIT" ]

null

listener/src/ethereum_connection.py

NicolasMenendez/oracles-dashboard

789e4a771c9f7064a19a85ef1b4f44bcbbac1a10

[ "MIT" ]

null

listener/src/ethereum_connection.py

NicolasMenendez/oracles-dashboard

789e4a771c9f7064a19a85ef1b4f44bcbbac1a10

[ "MIT" ]

1

2020-01-17T12:38:39.000Z

import json import web3 class EthereumConnection(): def __init__(self, url_node): self._url_node = url_node self._node_provider = web3.HTTPProvider(self._url_node) self._w3 = web3.Web3(self._node_provider) @property def w3(self): return self._w3 @property def url_node(self): return self._url_node class ContractConnection(): def __init__(self, eth_conn, contract_address, abi_path): self._eth_conn = eth_conn self._contract_address = self._eth_conn.w3.toChecksumAddress(contract_address) self._abi_path = abi_path self.__json_abi = self.__open_abi() self._contract = self._eth_conn.w3.eth.contract( address=self._contract_address, abi=self.__json_abi ) def __open_abi(self): return json.load(open(self._abi_path, "r")) @property def abi(self): return self.__json_abi @property def contract(self): return self._contract @property def address(self): return self._contract_address @property def eth(self): return self._contract.web3.eth @property def w3(self): return self._eth_conn.w3

22.685185

86

0.646531

153

1,225

4.751634

0.169935

0.110041

0.134801

0.053645

0.074278

0

0.013319

0.26449

1,225

53

87

23.113208

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0.225

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false

0

0.05

0.2

0.55

0

null

0

null

0

1

0

1

0

3

13cfe935b3ae2ffb5842e273c8ff7ca4cd002f6d

2,753

py

Python

userbot/plugins/alive.py

iraqis1/irqis

d95303c48b5f15dbe814454a48d847e838793713

[ "MIT" ]

null

userbot/plugins/alive.py

iraqis1/irqis

d95303c48b5f15dbe814454a48d847e838793713

[ "MIT" ]

null

userbot/plugins/alive.py

iraqis1/irqis

d95303c48b5f15dbe814454a48d847e838793713

[ "MIT" ]

null

"""Check if userbot alive. If you change these, you become the gayest gay such that even the gay world will disown you.""" import asyncio from telethon import events from telethon.tl.types import ChannelParticipantsAdmins from platform import uname from userbot import ALIVE_NAME from userbot.utils import admin_cmd DEFAULTUSER = str(ALIVE_NAME) if ALIVE_NAME else "No name set yet nibba, check pinned in @XtraTgBot" @command(outgoing=True, pattern="^.lk$") async def amireallyalive(alive): """ For .alive command, check if the bot is running. """ await alive.edit("اهلا بك في سورس التليثيون العراقي\n" "➖➖➖➖➖➖➖➖➖\n" "استخدم امر .alive اذا اعتقدت ان البوت توقف!\n" "➖➖➖➖➖➖➖➖➖\n" "اشترك في قناة السورس لانها تطرح ملفات وشروحات مفيده\n" "➖➖➖➖➖➖➖➖➖\n" "يمكنك مراسلتنا لاي خلل حاصل\n" "➖➖➖➖➖➖➖➖➖\n" "لتنصيب السورس راسلني احد مطورين السورس\n" "➖➖➖➖➖➖➖➖➖\n" "مطورين السورس : \n" "➖➖➖➖➖➖➖➖➖\n" "احمد || @HHMHHH \n" "➖➖➖➖➖➖➖➖➖\n" "حسن || @VHHHHH \n" "➖➖➖➖➖➖➖➖➖\n" "حارث || @cCcYo \n" "➖➖➖➖➖➖➖➖➖\n" "قناة السورس الرسميه : @cqccqq\n" "➖➖➖➖➖➖➖➖➖\n" "اوامر السورس هي :\n" "➖➖➖➖➖➖➖➖➖\n" "`.ytv` + رابط فيديو من اي موقع للتحميل\n" "➖➖➖➖➖➖➖➖➖\n" "`.purge` تحذف رسائل بالرد\n" "➖➖➖➖➖➖➖➖➖\n" "`.song` + اسم اغنيه \n" "➖➖➖➖➖➖➖➖➖\n" "`.spam`+ كلمه + عدد \n" "➖➖➖➖➖➖➖➖➖\n" "`.smoon` لعرض ٤ اسطر اقمار \n" "➖➖➖➖➖➖➖➖➖\n" "`.moon` لعرض سطر واحد اقمار \n" "➖➖➖➖➖➖➖➖➖\n" "`.solarsystem` كواكب تتحرك \n" "➖➖➖➖➖➖➖➖➖\n" "`.snake` افعى تتحرك\n" "➖➖➖➖➖➖➖➖➖\n" "`.clock` ساعات سطر واحد \n" "➖➖➖➖➖➖➖➖➖\n" "`.gmute` كتم\n" "➖➖➖➖➖➖➖➖➖\n" "`.ungmute` الغاء كتم \n" "➖➖➖➖➖➖➖➖➖\n" "`.kick` طرد \n" "➖➖➖➖➖➖➖➖➖\n" "`.ban` حظر \n" "➖➖➖➖➖➖➖➖➖\n" "`.tss` + رمز اللغه\n" "➖➖➖➖➖➖➖➖➖\n" "`.rnupload` رد ع الملف وسم ملف لتغير اسم الملف\n" "➖➖➖➖➖➖➖➖➖\n" "`.send` + اسم النلف يدز الملف\n" "➖➖➖➖➖➖➖➖➖\n" "`.unload` + اسم الملف للغاء التثببت\n" "➖➖➖➖➖➖➖➖➖\n" "`.scha` يطلع يكتب حتى لو مدز رساله\n" "➖➖➖➖➖➖➖➖➖\n" "`.get_bot` معرفه عدد البوتات الموجوده\n" "➖➖➖➖➖➖➖➖➖\n" "`.iffuci` كتابه كود الملف\n" "➖➖➖➖➖➖➖➖➖\n" "`.savefilter` اضف رد\n" "➖➖➖➖➖➖➖➖➖\n" "`.clearfilter` حذف رد \n" "➖➖➖➖➖➖➖➖➖\n" "`.purge` حذف كل الرسائل\n" "➖➖➖➖➖➖➖➖➖\n" "`.figlet` كتابه نصوص شخوط\n" "➖➖➖➖➖➖➖➖➖\n" "`.savewelcome` + ترحيب لوضع ترحيب\n" "➖➖➖➖➖➖➖➖➖\n" "`.clearwelcome` لحذف الترحيب \n" "➖➖➖➖➖➖➖➖➖\n" "`.whois` + ايدي شخص\n" "➖➖➖➖➖➖➖➖➖\n" "`.fuk` فاكيو\n" "➖➖➖➖➖➖➖➖➖\n" "`.get_id` ايدي اي شخص دزه بمحادثته\n" "➖➖➖➖➖➖➖➖➖\n" "`.admins` المشرفين الي بالكروب\n" "➖➖➖➖➖➖➖➖➖\n" "`.pin` تثبيت رساله بالكروب\n" "➖➖➖➖➖➖➖➖➖\n" "`.mmf` اسم انكلش رد ع الصوره\n" "➖➖➖➖➖➖➖➖➖\n" "`.bye` مغادره من المجموعه\n" "➖➖➖➖➖➖➖➖➖\n" "`.decide` يدز صورتين متحركات\n" "➖➖➖➖➖➖➖➖➖\n" "يوجد الكثير من الاوامر لكن ثبتنا الاساسيات\n")

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1

0

1

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null

0

3

13d331fdd92f5e0cc56507427afe5e4da7edb40a

636

py

Python

utils/src/adventofcode/utils/Point3D.py

dh256/adventofcode

428eec13f4cbf153333a0e359bcff23070ef6d27

[ "MIT" ]

null

utils/src/adventofcode/utils/Point3D.py

dh256/adventofcode

428eec13f4cbf153333a0e359bcff23070ef6d27

[ "MIT" ]

null

utils/src/adventofcode/utils/Point3D.py

dh256/adventofcode

428eec13f4cbf153333a0e359bcff23070ef6d27

[ "MIT" ]

null

class Point3D: def __init__(self,x,y,z): self.x = x self.y = y self.z = z ''' Returns the distance between two 3D points ''' def distance(self, value): return abs(self.x - value.x) + abs(self.y - value.y) + abs(self.z - value.z) def __eq__(self, value): return self.x == value.x and self.y == value.y and self.z == value.z def __hash__(self): return hash((self.x,self.y,self.z)) def __repr__(self): return f'({self.x},{self.y},{self.z})' def __add__(self,value): return Point3D(self.x + value.x, self.y + value.y, self.z + value.z)

27.652174

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636

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636

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null

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1

0

3

13d646c36a3c1b8a275d4d104aa95c23081163a3

2,378

py

Python

sdk/python/pulumi_azure_native/labservices/v20181015/__init__.py

pulumi-bot/pulumi-azure-native

f7b9490b5211544318e455e5cceafe47b628e12c

[ "Apache-2.0" ]

null

sdk/python/pulumi_azure_native/labservices/v20181015/__init__.py

pulumi-bot/pulumi-azure-native

f7b9490b5211544318e455e5cceafe47b628e12c

[ "Apache-2.0" ]

null

sdk/python/pulumi_azure_native/labservices/v20181015/__init__.py

pulumi-bot/pulumi-azure-native

f7b9490b5211544318e455e5cceafe47b628e12c

[ "Apache-2.0" ]

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** # Export this package's modules as members: from ._enums import * from .environment import * from .environment_setting import * from .gallery_image import * from .get_environment import * from .get_environment_setting import * from .get_gallery_image import * from .get_global_user_environment import * from .get_global_user_operation_batch_status import * from .get_global_user_operation_status import * from .get_global_user_personal_preferences import * from .get_lab import * from .get_lab_account import * from .get_lab_account_regional_availability import * from .get_user import * from .lab import * from .lab_account import * from .list_global_user_environments import * from .list_global_user_labs import * from .user import * from ._inputs import * from . import outputs def _register_module(): import pulumi from ... import _utilities class Module(pulumi.runtime.ResourceModule): _version = _utilities.get_semver_version() def version(self): return Module._version def construct(self, name: str, typ: str, urn: str) -> pulumi.Resource: if typ == "azure-native:labservices/v20181015:Environment": return Environment(name, pulumi.ResourceOptions(urn=urn)) elif typ == "azure-native:labservices/v20181015:EnvironmentSetting": return EnvironmentSetting(name, pulumi.ResourceOptions(urn=urn)) elif typ == "azure-native:labservices/v20181015:GalleryImage": return GalleryImage(name, pulumi.ResourceOptions(urn=urn)) elif typ == "azure-native:labservices/v20181015:Lab": return Lab(name, pulumi.ResourceOptions(urn=urn)) elif typ == "azure-native:labservices/v20181015:LabAccount": return LabAccount(name, pulumi.ResourceOptions(urn=urn)) elif typ == "azure-native:labservices/v20181015:User": return User(name, pulumi.ResourceOptions(urn=urn)) else: raise Exception(f"unknown resource type {typ}") _module_instance = Module() pulumi.runtime.register_resource_module("azure-native", "labservices/v20181015", _module_instance) _register_module()

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null

0

1

0

1

0

3

13e0862967d39493794d0afe2c6e9020dad2d87c

777

py

Python

tests/utils/date_utils.py

asuol/worky

362257e77486af05941cc977055c01e49b09a2dd

[ "MIT" ]

null

tests/utils/date_utils.py

asuol/worky

362257e77486af05941cc977055c01e49b09a2dd

[ "MIT" ]

null

tests/utils/date_utils.py

asuol/worky

362257e77486af05941cc977055c01e49b09a2dd

[ "MIT" ]

null

from datetime import datetime, timedelta due_date_format = '%Y-%m-%d' datepicker_date_format = '%m%d%Y' def current_date(): return datetime.utcnow().strftime(due_date_format) def datepicker_current_date(): return datetime.utcnow().strftime(datepicker_date_format) def _date_from_today(days_to_add): return datetime.utcnow() + timedelta(days=days_to_add) def date_from_today(days_to_add): return _date_from_today(days_to_add).strftime(due_date_format) def datepicker_date_from_today(days_to_add): return _date_from_today(days_to_add).strftime(datepicker_date_format) def datepicker_to_due_date_format(datepicker_date): return datetime.strptime(datepicker_date, datepicker_date_format).strftime(due_date_format)

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13e172837fb61cdf3f4fe7914fb4c72959b8c9f8

497

py

Python

zindi/docs/utils/n_subimissions_per_day.py

eaedk/testing-zindi-package

5aef7375a629b328fa8ecf9c4559e2897611a1e9

[ "MIT" ]

6

2020-09-07T17:56:49.000Z

2021-12-09T12:34:01.000Z

zindi/docs/utils/n_subimissions_per_day.py

eaedk/testing-zindi-package

5aef7375a629b328fa8ecf9c4559e2897611a1e9

[ "MIT" ]

2

2021-02-24T11:56:48.000Z

2021-03-30T14:40:45.000Z

zindi/docs/utils/n_subimissions_per_day.py

eaedk/testing-zindi-package

5aef7375a629b328fa8ecf9c4559e2897611a1e9

[ "MIT" ]

4

2020-11-01T00:06:36.000Z

2021-11-19T19:20:52.000Z

def n_subimissions_per_day( url, headers ): """Get the number of submissions we can make per day for the selected challenge. Parameters ---------- url : {'prize', 'points', 'knowledge' , 'all'}, default='all' The reward of the challenges for top challengers. headers : dictionary , The headers of the request. Returns ------- n_sub : int, default=0 : Means error during info retrieval. The number of submissions we can make per day. """

35.5

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1

0

null

0

1

0

1

0

3

13ebac2480a38d6864e7de863e165c5d96c0e1f7

10,928

py

Python

tests/test_crypto.py

kimtaehong/PythonForWindows

d04eed1754e2e23474213b89580d68e1b73c3fe4

[ "BSD-3-Clause" ]

null

tests/test_crypto.py

kimtaehong/PythonForWindows

d04eed1754e2e23474213b89580d68e1b73c3fe4

[ "BSD-3-Clause" ]

null

tests/test_crypto.py

kimtaehong/PythonForWindows

d04eed1754e2e23474213b89580d68e1b73c3fe4

[ "BSD-3-Clause" ]

null

import pytest import windows.crypto import windows.generated_def as gdef import windows.crypto.generation from .pfwtest import * pytestmark = pytest.mark.usefixtures('check_for_gc_garbage') TEST_CERT = b""" MIIBwTCCASqgAwIBAgIQG46Uyws+67ZBOfPJCbFrRjANBgkqhkiG9w0BAQsFADAfMR0wGwYDVQQD ExRQeXRob25Gb3JXaW5kb3dzVGVzdDAeFw0xNzA0MTIxNDM5MjNaFw0xODA0MTIyMDM5MjNaMB8x HTAbBgNVBAMTFFB5dGhvbkZvcldpbmRvd3NUZXN0MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKB gQCRHwC/sRfXh5pc4poc85aidrudbPdya+0OeonQlf1JQ1ekf7KSfADV5FLkSQu2BzgBK9DIWTGX XknBJIzZF03UZsVg5D67V2mnSClXucc0cGFcK4pDDt0tHeabA2GPinVe7Z6qDT4ZxPR8lKaXDdV2 Pg2hTdcGSpqaltHxph7G/QIDAQABMA0GCSqGSIb3DQEBCwUAA4GBACcQFdOlVjYICOIyAXowQaEN qcLpN1iWoL9UijNhTY37+U5+ycFT8QksT3Xmh9lEIqXMh121uViy2P/3p+Ek31AN9bB+BhWIM6PQ gy+ApYDdSwTtWFARSrMqk7rRHUveYEfMw72yaOWDxCzcopEuADKrrYEute4CzZuXF9PbbgK6""" ## Cert info: # Name: PythonForWindowsTest # Serial: '1b 8e 94 cb 0b 3e eb b6 41 39 f3 c9 09 b1 6b 46' TEST_PFX_PASSWORD = "TestPassword" TEST_PFX = b""" MIIGMwIBAzCCBe8GCSqGSIb3DQEHAaCCBeAEggXcMIIF2DCCA7AGCSqGSIb3DQEHAaCCA6EEggOd MIIDmTCCA5UGCyqGSIb3DQEMCgECoIICtjCCArIwHAYKKoZIhvcNAQwBAzAOBAhoE8r3qUJeTQIC B9AEggKQT7jm7ppgH64scyJ3cFW50BurqpMPtxgYyYCCtjdmHMlLPbUoujXOZVYi3seAEERE51BS TXUi5ydHpY8cZ104nU4iEuJBAc+TZ7NQSTkjLKwAY1r1jrIikkQEmewLVlWQnj9dvCwD3lNkGXG8 zJdWusta5Lw1Hz5ftsRXvN9UAvH8gxYviVRVmkZA33rI/BiyPZCulu2EBC0MeDBQHLLONup2xVGy +YgU4Uf7khJIftWCgdrkyJIaMuB7vGUl014ZBV+XWaox+bS71qFQXUP2WnyTeeBVIaTJtggk+80X fStWwvvzl02LTwGV3kJqWbazPlJkevfRQ7DNh1xa42eO57YEcEl3sR00anFWbL3J/I0bHb5XWY/e 8DYuMgIlat5gub8CTO2IViu6TexXFMXLxZdWAYvJ8ivc/q7mA/JcDJQlNnGof2Z6jY8ykWYloL/R XMn2LeGqrql/guyRQcDrZu0LGX4sDG0aP9dbjk5fQpXSif1RUY4/T3HYeL0+1zu86ZKwVIIX5YfT MLheIUGaXy/UJk361vAFKJBERGv1uufnqBxH0r1bRoytOaZr1niEA04u+VJa0DXOZzKBwxNhQRom x4ffrsP2VnoJX+wnfYhPOjkiPiHyhswheG0VITTkqD+2uF54M5X2LLdzQuJpu0MZ5HOAHck/ZEpa xV7h+kNse4p7y17b12H6tJNtVoJOlqP0Ujugc7vh4h8ZaPkSqVSV1nEvHzXx0c7gf038jv1+8WlN 4EgHp09FKU7sbSgcPY9jltElgaAr6J8a+rDGtk+055UeUYxM43U8naBiEOL77LP9FA0y8hKLKlJz 0GBCp4bJrLuZJenXHVb1Zme2EXO0jnQ9nB9OEyI3NpYTbZQxgcswEwYJKoZIhvcNAQkVMQYEBAEA AAAwRwYJKoZIhvcNAQkUMToeOABQAHkAdABoAG8AbgBGAG8AcgBXAGkAbgBkAG8AdwBzAFQATQBQ AEMAbwBuAHQAYQBpAG4AZQByMGsGCSsGAQQBgjcRATFeHlwATQBpAGMAcgBvAHMAbwBmAHQAIABF AG4AaABhAG4AYwBlAGQAIABDAHIAeQBwAHQAbwBnAHIAYQBwAGgAaQBjACAAUAByAG8AdgBpAGQA ZQByACAAdgAxAC4AMDCCAiAGCSqGSIb3DQEHAaCCAhEEggINMIICCTCCAgUGCyqGSIb3DQEMCgED oIIB3TCCAdkGCiqGSIb3DQEJFgGgggHJBIIBxTCCAcEwggEqoAMCAQICEBuOlMsLPuu2QTnzyQmx a0YwDQYJKoZIhvcNAQELBQAwHzEdMBsGA1UEAxMUUHl0aG9uRm9yV2luZG93c1Rlc3QwHhcNMTcw NDEyMTQzOTIzWhcNMTgwNDEyMjAzOTIzWjAfMR0wGwYDVQQDExRQeXRob25Gb3JXaW5kb3dzVGVz dDCBnzANBgkqhkiG9w0BAQEFAAOBjQAwgYkCgYEAkR8Av7EX14eaXOKaHPOWona7nWz3cmvtDnqJ 0JX9SUNXpH+yknwA1eRS5EkLtgc4ASvQyFkxl15JwSSM2RdN1GbFYOQ+u1dpp0gpV7nHNHBhXCuK Qw7dLR3mmwNhj4p1Xu2eqg0+GcT0fJSmlw3Vdj4NoU3XBkqampbR8aYexv0CAwEAATANBgkqhkiG 9w0BAQsFAAOBgQAnEBXTpVY2CAjiMgF6MEGhDanC6TdYlqC/VIozYU2N+/lOfsnBU/EJLE915ofZ RCKlzIddtblYstj/96fhJN9QDfWwfgYViDOj0IMvgKWA3UsE7VhQEUqzKpO60R1L3mBHzMO9smjl g8Qs3KKRLgAyq62BLrXuAs2blxfT224CujEVMBMGCSqGSIb3DQEJFTEGBAQBAAAAMDswHzAHBgUr DgMCGgQU70h/rEXLQOberGvgJenggoWU5poEFCfdE1wNK1M38Yp3+qfjEqNIJGCPAgIH0A== """ @pytest.fixture() def rawcert(): return b64decode(TEST_CERT) @pytest.fixture() def rawpfx(): return b64decode(TEST_PFX) PFW_TEST_TMP_KEY_CONTAINER = "PythonForWindowsTMPContainerTest" RANDOM_CERTIF_NAME = b"PythonForWindowsGeneratedRandomCertifTest" RANDOM_PFX_PASSWORD = "PythonForWindowsGeneratedRandomPFXPassword" @pytest.fixture() def randomkeypair(keysize=1024): r"""Generate a cert / pfx. Based on samples\crypto\encryption_demo.py""" cert_store = windows.crypto.CertificateStore.new_in_memory() # Create a TMP context that will hold our newly generated key-pair with windows.crypto.CryptContext(PFW_TEST_TMP_KEY_CONTAINER, None, gdef.PROV_RSA_FULL, 0, retrycreate=True) as ctx: key = gdef.HCRYPTKEY() keysize_flags = keysize << 16 # Generate a key-pair that is exportable windows.winproxy.CryptGenKey(ctx, gdef.AT_KEYEXCHANGE, gdef.CRYPT_EXPORTABLE | keysize_flags, key) # It does NOT destroy the key-pair from the container, # It only release the key handle # https://msdn.microsoft.com/en-us/library/windows/desktop/aa379918(v=vs.85).aspx windows.winproxy.CryptDestroyKey(key) # Descrption of the key-container that will be used to generate the certificate KeyProvInfo = gdef.CRYPT_KEY_PROV_INFO() KeyProvInfo.pwszContainerName = PFW_TEST_TMP_KEY_CONTAINER KeyProvInfo.pwszProvName = None KeyProvInfo.dwProvType = gdef.PROV_RSA_FULL KeyProvInfo.dwFlags = 0 KeyProvInfo.cProvParam = 0 KeyProvInfo.rgProvParam = None #KeyProvInfo.dwKeySpec = AT_SIGNATURE KeyProvInfo.dwKeySpec = gdef.AT_KEYEXCHANGE crypt_algo = gdef.CRYPT_ALGORITHM_IDENTIFIER() crypt_algo.pszObjId = gdef.szOID_RSA_SHA256RSA.encode("ascii") # do something else (bytes in generated ctypes ?) # This is fucking dumb, there is no .format on bytes object... certif_name = b"".join((b"CN=", RANDOM_CERTIF_NAME)) # Generate a self-signed certificate based on the given key-container and signature algorithme certif = windows.crypto.generation.generate_selfsigned_certificate(certif_name, key_info=KeyProvInfo, signature_algo=crypt_algo) # Add the newly created certificate to our TMP cert-store cert_store.add_certificate(certif) # Generate a pfx from the TMP cert-store pfx = windows.crypto.generation.generate_pfx(cert_store, RANDOM_PFX_PASSWORD) yield certif, pfx # Destroy the TMP key container prov = gdef.HCRYPTPROV() windows.winproxy.CryptAcquireContextW(prov, PFW_TEST_TMP_KEY_CONTAINER, None, gdef.PROV_RSA_FULL, gdef.CRYPT_DELETEKEYSET) def test_certificate(rawcert): cert = windows.crypto.Certificate.from_buffer(rawcert) assert cert.serial == '1b 8e 94 cb 0b 3e eb b6 41 39 f3 c9 09 b1 6b 46' assert cert.name == b'PythonForWindowsTest' assert cert.issuer == b'PythonForWindowsTest' assert cert.thumbprint == 'EF 0C A8 C9 F9 E0 96 AF 74 18 56 8B C1 C9 57 27 A0 89 29 6A' assert cert.encoded == rawcert assert cert.version == 2 assert cert == cert assert cert is cert.duplicate() cert.chains # TODO: craft a certificate with a chain for test purpose cert.store.certs cert.properties def test_pfx(rawcert, rawpfx): pfx = windows.crypto.import_pfx(rawpfx, TEST_PFX_PASSWORD) orig_cert = windows.crypto.Certificate.from_buffer(rawcert) certs = pfx.certs assert len(certs) == 1 # Test cert comparaison assert certs[0] == orig_cert def test_open_pfx_bad_password(rawpfx): with pytest.raises(WindowsError) as ar: pfx = windows.crypto.import_pfx(rawpfx, "BadPassword") def test_encrypt_decrypt(rawcert, rawpfx): message_to_encrypt = b"Testing message \xff\x01" cert = windows.crypto.Certificate.from_buffer(rawcert) # encrypt should accept a cert or iterable of cert res = windows.crypto.encrypt(cert, message_to_encrypt) res2 = windows.crypto.encrypt([cert, cert], message_to_encrypt) del cert assert message_to_encrypt not in res # Open pfx and decrypt pfx = windows.crypto.import_pfx(rawpfx, TEST_PFX_PASSWORD) decrypt = windows.crypto.decrypt(pfx, res) decrypt2 = windows.crypto.decrypt(pfx, res2) assert message_to_encrypt == decrypt assert decrypt == decrypt2 def test_randomkeypair(randomkeypair): randcert, randrawpfx = randomkeypair assert randcert.name == RANDOM_CERTIF_NAME randpfx = windows.crypto.import_pfx(randrawpfx, RANDOM_PFX_PASSWORD) # Check password is good too def test_encrypt_decrypt_multiple_receivers(rawcert, rawpfx, randomkeypair): message_to_encrypt = b"\xff\x00 Testing message \xff\x01" # Receiver 1: random key pair randcert, randrawpfx = randomkeypair randpfx = windows.crypto.import_pfx(randrawpfx, RANDOM_PFX_PASSWORD) # Receiver 1: PFW-test-keypair pfx = windows.crypto.import_pfx(rawpfx, TEST_PFX_PASSWORD) cert = windows.crypto.Certificate.from_buffer(rawcert) assert cert.name != randcert.name assert cert.encoded != randcert.encoded # Encrypt the message with 2 differents certificates encrypted = windows.crypto.encrypt([cert, randcert], message_to_encrypt) # Decrypt with each PFX and check the result is valid/the same decrypted = windows.crypto.decrypt(pfx, encrypted) decrypted2 = windows.crypto.decrypt(randpfx, encrypted) assert decrypted == decrypted2 == message_to_encrypt def test_crypt_obj(): path = r"C:\windows\system32\kernel32.dll" x = windows.crypto.CryptObject(path) x.crypt_msg.certs x.crypt_msg.signers x.signers_and_certs # TODO: Need some better ideas def test_certificate_from_store(): return windows.crypto.CertificateStore.from_system_store("Root") def test_sign_verify(rawcert, rawpfx): message_to_sign = b"Testing message \xff\x01" # Load PFX (priv+pub key) & certif (pubkey only) pfx = windows.crypto.import_pfx(rawpfx, TEST_PFX_PASSWORD) cert = windows.crypto.Certificate.from_buffer(rawcert) signed_blob = windows.crypto.sign(pfx.certs[0], message_to_sign) assert message_to_sign in signed_blob decoded_blob = windows.crypto.verify_signature(cert, signed_blob) assert decoded_blob == message_to_sign def test_sign_verify_fail(rawcert, rawpfx): message_to_sign = b"Testing message \xff\x01" # Load PFX (priv+pub key) & certif (pubkey only) pfx = windows.crypto.import_pfx(rawpfx, TEST_PFX_PASSWORD) cert = windows.crypto.Certificate.from_buffer(rawcert) signed_blob = windows.crypto.sign(pfx.certs[0], message_to_sign) assert message_to_sign in signed_blob # Tamper the signed mesasge content signed_blob = signed_blob.replace(b"message", b"massage") with pytest.raises(windows.winproxy.WinproxyError) as excinfo: decoded_blob = windows.crypto.verify_signature(cert, signed_blob) assert excinfo.value.winerror == gdef.STATUS_INVALID_SIGNATURE # str(windows.crypto.encrypt(TEST_CERT, "Hello crypto")).encode("base64") # Target serial == TEST_CERT.Serial == 1b 8e 94 cb 0b 3e eb b6 41 39 f3 c9 09 b1 6b 46 TEST_CRYPTMSG = b"""MIIBJAYJKoZIhvcNAQcDoIIBFTCCARECAQAxgc0wgcoCAQAwMzAfMR0wGwYDVQQDExRQeXRob25G b3JXaW5kb3dzVGVzdAIQG46Uyws+67ZBOfPJCbFrRjANBgkqhkiG9w0BAQcwAASBgA1fwFY8w4Bb fOMer94JhazbJxaUnV305QzF27w4GwNQ2UIpl9KWJoJJaF7azU3nVhP33agAxlxmr9fP48B6DeE1 pbu1jX9tEWlTJC6O0TmKcRPjblEaU6VJXXlpKlKZCmwCUuHR9VtcXGnxEU1Hy7FmHM96lvDRmYQT Y0MnRJLyMDwGCSqGSIb3DQEHATAdBglghkgBZQMEASoEEEdEGEzKBrDO/zC8z6q6HLaAEGbjGCay s6u32YhUxQ4/QhI=""" def test_cryptmsg_from_data(): rawdata = b64decode(TEST_CRYPTMSG) cryptmsg = windows.crypto.CryptMessage.from_buffer(rawdata) rawtarget = b"\x1b\x8e\x94\xcb\x0b>\xeb\xb6A9\xf3\xc9\t\xb1kF" assert cryptmsg.get_recipient_data(0).SerialNumber.data[::-1] == rawtarget

45.344398

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0

1

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false

0.071429

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0.017857

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0.005952

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null

0

1

0

null

1

0

1

0

3

b918bb151415e9d667f5286334be578684cceb18

10,754

py

Python

espoem_facts/facts.py

emre/espoem_facts

0d7164dcfe8a82e1f142929b1e00c3a85f29f101

[ "MIT" ]

null

espoem_facts/facts.py

emre/espoem_facts

0d7164dcfe8a82e1f142929b1e00c3a85f29f101

[ "MIT" ]

null

espoem_facts/facts.py

emre/espoem_facts

0d7164dcfe8a82e1f142929b1e00c3a85f29f101

[ "MIT" ]

1

2018-07-19T18:44:09.000Z

FACTS = ['espoem multiplied by zero still equals espoem.', 'There is no theory of evolution. Just a list of creatures espoem has allowed to live.', 'espoem does not sleep. He waits.', 'Alexander Graham Bell had three missed calls from espoem when he invented the telephone.', 'espoem is the reason why Waldo is hiding.', 'espoem can slam a revolving door.', "espoem isn't lifting himself up when doing a pushup; he's pushing the earth down.", "espoem' hand is the only hand that can beat a Royal Flush.", 'espoem made a Happy Meal cry.', "espoem doesn't need Twitter; he's already following you.", 'espoem once won an underwater breathing contest with a fish.While urinating, espoem is easily capable of welding titanium.', 'In an act of great philanthropy, espoem made a generous donation to the American Cancer Society. He donated 6,000 dead bodies for scientific research.', 'espoem once one a game of connect four in 3 moves.', "Google won't search for espoem because it knows you don't find espoem, he finds you.", 'espoem? favourite cut of meat is the roundhouse.', 'It is scientifically impossible for espoem to have had a mortal father. The most popular theory is that he went back in time and fathered himself.', 'espoem had to stop washing his clothes in the ocean. The tsunamis were killing people.', 'Pluto is actually an orbiting group of British soldiers from the American Revolution who entered space after the espoem gave them a roundhouse kick to the face.', 'In the Words of Julius Caesar, Veni, Vidi, Vici, espoem. Translation: I came, I saw, and I was roundhouse-kicked inthe face by espoem.', "espoem doesn't look both ways before he crosses the street... he just roundhouses any cars that get too close.", 'Human cloning is outlawed because of espoem, because then it would be possible for a espoem roundhouse kick to meet another espoem roundhouse kick. Physicists theorize that this contact would end the universe.', 'Using his trademark roundhouse kick, espoem once made a fieldgoal in RJ Stadium in Tampa Bay from the 50 yard line of Qualcomm stadium in San Diego.', 'espoem played Russian Roulette with a fully loaded gun and won.', "espoem roundhouse kicks don't really kill people. They wipe out their entire existence from the space-time continuum.", "espoem' testicles do not produce sperm. They produce tiny white ninjas that recognize only one mission: seek and destroy.", 'MacGyver immediately tried to make a bomb out of some Q-Tips and Gatorade, but espoem roundhouse-kicked him in the solar plexus. MacGyver promptly threw up his own heart.', 'Not everyone that espoem is mad at gets killed. Some get away. They are called astronauts.', 'espoem can drink an entire gallon of milk in thirty-seven seconds.', 'If you spell espoem in Scrabble, you win. Forever.', "When you say no one's perfect, espoem takes this as a personal insult.", "espoem invented Kentucky Fried Chicken's famous secret recipe with eleven herbs and spices. Nobody ever mentions the twelfth ingredient: Fear.", 'espoem can skeletize a cow in two minutes.', 'espoem eats lightning and shits out thunder.', 'In a fight between Batman and Darth Vader, the winner would be espoem.', "The phrase 'dead ringer' refers to someone who sits behind espoem in a movie theater and forgets to turn their cell phone off.", "It is said that looking into espoem' eyes will reveal your future. Unfortunately, everybody's future is always the same: death by a roundhouse-kick to the face.", "espoem's log statements are always at the FATAL level.", 'espoem can win in a game of Russian roulette with a fully loaded gun.', 'Nothing can escape the gravity of a black hole, except for espoem. espoem eats black holes. They taste like chicken.', 'There is no theory of evolution, just a list of creatures espoem allows to live.', 'A study showed the leading causes of death in the United States are: 1. Heart disease, 2. espoem, 3. Cancer', 'Everybody loves Raymond. Except espoem.', 'Noah was the only man notified before espoem relieved himself in the Atlantic Ocean.', 'In a tagteam match, espoem was teamed with Hulk Hogan against King Kong Bundy and Andre The Giant. He pinned all 3 at the same time.', "Nobody doesn't like Sara Lee. Except espoem.", "espoem never has to wax his skis because they're always slick with blood.", 'espoem ordered a Big Mac at Burger King, and got one.', 'espoem owns a chain of fast-food restaurants throughout the southwest. They serve nothing but barbecue-flavored ice cream and Hot Pockets.', "espoem's database has only one table, 'Kick', which he DROPs frequently.", "espoem built a time machine and went back in time to stop the JFK assassination. As Oswald shot, espoem met all three bullets with his beard, deflecting them. JFK's head exploded out of sheer amazement.", 'espoem can write infinite recursion functions, and have them return.', 'When espoem does division, there are no remainders.', 'We live in an expanding universe. All of it is trying to get away from espoem.', 'espoem cannot love, he can only not kill.', 'espoem knows the value of NULL, and he can sort by it too.', 'There is no such thing as global warming. espoem was cold, so he turned the sun up.', 'The best-laid plans of mice and men often go awry. Even the worst-laid plans of espoem come off without a hitch.', 'When espoem goes to donate blood, he declines the syringe, and instead requests a hand gun and a bucket.', 'espoem can solve the Towers of Hanoi in one move.', 'All roads lead to espoem. And by the transitive property, a roundhouse kick to the face.', 'If you were somehow able to land a punch on espoem your entire arm would shatter upon impact. This is only in theory, since, come on, who in their right mind would try this?', 'One time, at band camp, espoem ate a percussionist.', 'Product Owners never argue with espoem after he demonstrates the DropKick feature.', 'espoem can read from an input stream.', 'The original draft of The Lord of the Rings featured espoem instead of Frodo Baggins. It was only 5 pages long, as espoem roundhouse-kicked Sauron?s ass halfway through the first chapter.', "If, by some incredible space-time paradox, espoem would ever fight himself, he'd win. Period.", 'When taking the SAT, write espoem for every answer. You will score over 8000.', 'When in a bar, you can order a drink called a espoem. It is also known as a Bloody Mary, if your name happens to be Mary.', 'espoem causes the Windows Blue Screen of Death.', 'espoem went out of an infinite loop.', 'When Bruce Banner gets mad, he turns into the Hulk. When the Hulk gets mad, he turns into espoem.', 'espoem insists on strongly-typed programming languages.', 'espoem can blow bubbles with beef jerky.', "espoem is widely predicted to be first black president. If you're thinking to yourself, But espoem isn't black, then you are dead wrong. And stop being a racist.", 'espoem once went skydiving, but promised never to do it again. One Grand Canyon is enough.', "Godzilla is a Japanese rendition of espoem's first visit to Tokyo.", 'espoem has the greatest Poker-Face of all time. He won the 1983 World Series of Poker, despite holding only a Joker, a Get out of Jail Free Monopoloy card, a 2 of clubs, 7 of spades and a green #4 card from the game UNO.', 'Teenage Mutant Ninja Turtles is based on a true story: espoem once swallowed a turtle whole, and when he crapped it out, the turtle was six feet tall and had learned karate.', "If you try to kill -9 espoem's programs, it backfires.", "espoem' Penis is a third degree blackbelt, and an honorable 32nd-degree mason.", 'In ancient China there is a legend that one day a child will be born from a dragon, grow to be a man, and vanquish evil from the land. That man is not espoem, because espoem killed that man.', 'espoem can dereference NULL.', 'All arrays espoem declares are of infinite size, because espoem knows no bounds.', 'The pen is mighter than the sword, but only if the pen is held by espoem.', "espoem doesn't step on toes. espoem steps on necks.", 'The truth will set you free. Unless espoem has you, in which case, forget it buddy!', 'Simply by pulling on both ends, espoem can stretch diamonds back into coal.', 'espoem does not style his hair. It lays perfectly in place out of sheer terror.', 'espoem once participated in the running of the bulls. He walked.', 'Never look a gift espoem in the mouth, because he will bite your damn eyes off.', "If you Google search espoem getting his ass kicked you will generate zero results. It just doesn't happen.", 'espoem can unit test entire applications with a single assert.', 'On his birthday, espoem randomly selects one lucky child to be thrown into the sun.', "Little known medical fact: espoem invented the Caesarean section when he roundhouse-kicked his way out of his monther's womb.", "No one has ever spoken during review of espoem' code and lived to tell about it.", 'The First rule of espoem is: you do not talk about espoem.', 'Fool me once, shame on you. Fool espoem once and he will roundhouse kick you in the face.', "espoem doesn't read books. He stares them down until he gets the information he wants.", "The phrase 'balls to the wall' was originally conceived to describe espoem entering any building smaller than an aircraft hangar.", "Someone once tried to tell espoem that roundhouse kicks aren't the best way to kick someone. This has been recorded by historians as the worst mistake anyone has ever made.", 'Along with his black belt, espoem often chooses to wear brown shoes. No one has DARED call him on it. Ever.', 'Whiteboards are white because espoem scared them that way.', 'espoem drives an ice cream truck covered in human skulls.', "Every time espoem smiles, someone dies. Unless he smiles while he's roundhouse kicking someone in the face. Then two people die."]

102.419048

232

0.702343

1,704

10,754

4.432512

0.433685

0.013107

0.006355

0.006752

0.042367

0.032305

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0.013769

0

0.003183

0.240469

10,754

104

233

103.403846

0.921523

0

0.365385

0.874279

0

0.009615

1

0

false

0

null

0

1

0

1

0

null

0

3

b938dd2d4297c0de33a03a4e075f88143c4fb4d8

942

py

Python

setup.py

glibin/natasha

4f5c153f754759c189779f9879decd8d218356af

[ "MIT" ]

1

2020-01-16T14:02:01.000Z

setup.py

glibin/natasha

4f5c153f754759c189779f9879decd8d218356af

[ "MIT" ]

null

setup.py

glibin/natasha

4f5c153f754759c189779f9879decd8d218356af

[ "MIT" ]

null

from setuptools import setup, find_packages setup( name='natasha', version='0.2.0', description='Named-entity recognition for russian language', url='https://github.com/bureaucratic-labs/natasha', author='Dmitry Veselov', author_email='[email protected]', license='MIT', classifiers=[ 'Development Status :: 3 - Alpha', 'Intended Audience :: Developers', 'License :: OSI Approved :: MIT License', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.3', 'Programming Language :: Python :: 3.4', 'Programming Language :: Python :: 3.5', ], keywords='natural language processing, russian morphology, named entity recognition, tomita', packages=find_packages(), install_requires=[ 'yargy==0.3.0' ], extras_require={ 'web': [ 'ujson', 'aiohttp', ], }, )

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b9409e44daa0d7a262748b347f053c849e397b73

291

py

Python

homeassistant/components/todoist/types.py

MrDelik/core

93a66cc357b226389967668441000498a10453bb

[ "Apache-2.0" ]

30,023

2016-04-13T10:17:53.000Z

2020-03-02T12:56:31.000Z

homeassistant/components/todoist/types.py

MrDelik/core

93a66cc357b226389967668441000498a10453bb

[ "Apache-2.0" ]

24,710

2016-04-13T08:27:26.000Z

2020-03-02T12:59:13.000Z

homeassistant/components/todoist/types.py

MrDelik/core

93a66cc357b226389967668441000498a10453bb

[ "Apache-2.0" ]

11,956

2016-04-13T18:42:31.000Z

2020-03-02T09:32:12.000Z

"""Types for the Todoist component.""" from __future__ import annotations from typing import TypedDict class DueDate(TypedDict): """Dict representing a due date in a todoist api response.""" date: str is_recurring: bool lang: str string: str timezone: str | None

19.4

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1

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3

b943636ba1006005819134b02620af2faa23d559

84

py

Python

python/testData/debug/test_ignore_lib.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/debug/test_ignore_lib.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/debug/test_ignore_lib.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

from calendar import setfirstweekday stopped_in_user_file = True setfirstweekday(15)

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b95d4a692bcb2991f35a3f589cde3570c4033e09

29,218

py

Python

metrics/pointops/pointops_util.py

JiazeWang/SP-GAN

455003f78b1160ebe0a2056005b069808c0df35b

[ "MIT" ]

73

2021-05-11T12:00:29.000Z

2022-03-31T09:40:12.000Z

metrics/pointops/pointops_util.py

JiazeWang/SP-GAN

455003f78b1160ebe0a2056005b069808c0df35b

[ "MIT" ]

6

2021-08-18T13:03:43.000Z

2022-03-30T04:48:29.000Z

metrics/pointops/pointops_util.py

JiazeWang/SP-GAN

455003f78b1160ebe0a2056005b069808c0df35b

[ "MIT" ]

13

2021-08-28T20:09:13.000Z

2022-03-20T12:42:51.000Z

from typing import Tuple import torch from torch.autograd import Function import torch.nn as nn from metrics.pointops import pointops_cuda import numpy as np class FurthestSampling(Function): @staticmethod def forward(ctx, xyz, m): """ input: xyz: (b, n, 3) and n > m, m: int32 output: idx: (b, m) """ assert xyz.is_contiguous() b, n, _ = xyz.size() idx = torch.cuda.IntTensor(b, m) temp = torch.cuda.FloatTensor(b, n).fill_(1e10) pointops_cuda.furthestsampling_cuda(b, n, m, xyz, temp, idx) return idx @staticmethod def backward(xyz, a=None): return None, None furthestsampling = FurthestSampling.apply class Gathering(Function): @staticmethod def forward(ctx, features, idx): """ input: features: (b, c, n), idx : (b, m) tensor output: (b, c, m) """ assert features.is_contiguous() assert idx.is_contiguous() b, c, n = features.size() m = idx.size(1) output = torch.cuda.FloatTensor(b, c, m) pointops_cuda.gathering_forward_cuda(b, c, n, m, features, idx, output) ctx.for_backwards = (idx, c, n) return output @staticmethod def backward(ctx, grad_out): idx, c, n = ctx.for_backwards b, m = idx.size() grad_features = torch.cuda.FloatTensor(b, c, n).zero_() grad_out_data = grad_out.data.contiguous() pointops_cuda.gathering_backward_cuda(b, c, n, m, grad_out_data, idx, grad_features.data) return grad_features, None gathering = Gathering.apply class NearestNeighbor(Function): @staticmethod def forward(ctx, unknown: torch.Tensor, known: torch.Tensor) -> Tuple[torch.Tensor, torch.Tensor]: """ Find the three nearest neighbors of unknown in known input: unknown: (b, n, 3), known: (b, m, 3) output: dist2: (b, n, 3) l2 distance to the three nearest neighbors idx: (b, n, 3) index of 3 nearest neighbors """ assert unknown.is_contiguous() assert known.is_contiguous() b, n, _ = unknown.size() m = known.size(1) dist2 = torch.cuda.FloatTensor(b, n, 3) idx = torch.cuda.IntTensor(b, n, 3) pointops_cuda.nearestneighbor_cuda(b, n, m, unknown, known, dist2, idx) return torch.sqrt(dist2), idx @staticmethod def backward(ctx, a=None, b=None): return None, None nearestneighbor = NearestNeighbor.apply class Interpolation(Function): @staticmethod def forward(ctx, features: torch.Tensor, idx: torch.Tensor, weight: torch.Tensor) -> torch.Tensor: """ Performs weight linear interpolation on 3 features input: features: (b, c, m) features descriptors to be interpolated from idx: (b, n, 3) three nearest neighbors of the target features in features weight: (b, n, 3) weights output: (b, c, n) tensor of the interpolated features """ assert features.is_contiguous() assert idx.is_contiguous() assert weight.is_contiguous() b, c, m = features.size() n = idx.size(1) ctx.interpolation_for_backward = (idx, weight, m) output = torch.cuda.FloatTensor(b, c, n) pointops_cuda.interpolation_forward_cuda(b, c, m, n, features, idx, weight, output) return output @staticmethod def backward(ctx, grad_out: torch.Tensor) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor]: """ input: grad_out: (b, c, n) output: grad_features: (b, c, m), None, None """ idx, weight, m = ctx.interpolation_for_backward b, c, n = grad_out.size() grad_features = torch.cuda.FloatTensor(b, c, m).zero_() grad_out_data = grad_out.data.contiguous() pointops_cuda.interpolation_backward_cuda(b, c, n, m, grad_out_data, idx, weight, grad_features.data) return grad_features, None, None interpolation = Interpolation.apply class Grouping(Function): @staticmethod def forward(ctx, features: torch.Tensor, idx: torch.Tensor) -> torch.Tensor: """ input: features: (b, c, n), idx : (b, m, nsample) containing the indicies of features to group with output: (b, c, m, nsample) """ assert features.is_contiguous() assert idx.is_contiguous() b, c, n = features.size() _, m, nsample = idx.size() output = torch.cuda.FloatTensor(b, c, m, nsample) pointops_cuda.grouping_forward_cuda(b, c, n, m, nsample, features, idx, output) ctx.for_backwards = (idx, n) return output @staticmethod def backward(ctx, grad_out: torch.Tensor) -> Tuple[torch.Tensor, torch.Tensor]: """ input: grad_out: (b, c, m, nsample) output: (b, c, n), None """ idx, n = ctx.for_backwards b, c, m, nsample = grad_out.size() grad_features = torch.cuda.FloatTensor(b, c, n).zero_() grad_out_data = grad_out.data.contiguous() pointops_cuda.grouping_backward_cuda(b, c, n, m, nsample, grad_out_data, idx, grad_features.data) return grad_features, None grouping = Grouping.apply class GroupingInt(Function): @staticmethod def forward(ctx, features: torch.Tensor, idx: torch.Tensor) -> torch.Tensor: """ input: features: (b, c, n), idx : (b, m, nsample) containing the indicies of features to group with output: (b, c, m, nsample) """ assert features.is_contiguous() assert idx.is_contiguous() b, c, n = features.size() _, m, nsample = idx.size() output = torch.cuda.LongTensor(b, c, m, nsample) pointops_cuda.grouping_int_forward_cuda(b, c, n, m, nsample, features, idx, output) return output @staticmethod def backward(ctx, a=None): return None, None grouping_int = GroupingInt.apply class BallQuery(Function): @staticmethod def forward(ctx, radius: float, nsample: int, xyz: torch.Tensor, new_xyz: torch.Tensor) -> torch.Tensor: """ input: radius: float, radius of the balls nsample: int, maximum number of features in the balls xyz: torch.Tensor, (b, n, 3) xyz coordinates of the features new_xyz: torch.Tensor, (b, m, 3) centers of the ball query output: (b, m, nsample) tensor with the indicies of the features that form the query balls """ assert xyz.is_contiguous() assert new_xyz.is_contiguous() b, n, _ = xyz.size() m = new_xyz.size(1) idx = torch.cuda.IntTensor(b, m, nsample).zero_() pointops_cuda.ballquery_cuda(b, n, m, radius, nsample, new_xyz, xyz, idx) return idx @staticmethod def backward(ctx, a=None): return None, None, None, None ballquery = BallQuery.apply class FeatureDistribute(Function): @staticmethod def forward(ctx, max_xyz: torch.Tensor, xyz: torch.Tensor) -> torch.Tensor: """ :param ctx: :param max_xyz: (b, n, 3) :param xyz: (b, m, 3) :return: distribute_idx: (b, m) """ assert max_xyz.is_contiguous() assert xyz.is_contiguous() b, n, _ = max_xyz.size() m = xyz.size(1) distribute_idx = torch.cuda.IntTensor(b, m).zero_() pointops_cuda.featuredistribute_cuda(b, n, m, max_xyz, xyz, distribute_idx) return distribute_idx @staticmethod def backward(ctx, a=None): return None, None featuredistribute = FeatureDistribute.apply class FeatureGather(Function): @staticmethod def forward(ctx, max_feature: torch.Tensor, distribute_idx: torch.Tensor) -> torch.Tensor: ''' :param ctx: :param max_feature: (b, c, n) :param distribute_idx: (b, m) :return: distribute_feature: (b, c, m) ''' assert max_feature.is_contiguous() assert distribute_idx.is_contiguous() b, c, n = max_feature.size() m = distribute_idx.size(1) distribute_feature = torch.cuda.FloatTensor(b, c, m).zero_() pointops_cuda.featuregather_forward_cuda(b, n, m, c, max_feature, distribute_idx, distribute_feature) ctx.for_backwards = (distribute_idx, n) return distribute_feature @staticmethod def backward(ctx, grad_distribute_feature: torch.Tensor): ''' :param ctx: :param grad_distribute_feature: (b, c, m) :return: grad_max_feature: (b, c, n), None ''' distribute_idx, n = ctx.for_backwards b, c, m = grad_distribute_feature.size() grad_max_feature = torch.cuda.FloatTensor(b, c, n).zero_() grad_distribute_feature_data = grad_distribute_feature.data.contiguous() pointops_cuda.featuregather_backward_cuda(b, n, m, c, grad_distribute_feature_data, distribute_idx, grad_max_feature.data) return grad_max_feature, None featuregather = FeatureGather.apply class LabelStatBallRange(Function): @staticmethod def forward(ctx, radius: float, xyz: torch.Tensor, new_xyz: torch.Tensor, label_stat: torch.Tensor) -> torch.Tensor: ''' :param ctx: :param radius: :param xyz: (b, n, 3) :param new_xyz: (b, m, 3) :param label_stat: (b, n, nclass) :return: new_label_stat: (b, m, nclass) ''' assert xyz.is_contiguous() assert new_xyz.is_contiguous() assert label_stat.is_contiguous() b, n, nclass = label_stat.size() m = new_xyz.size(1) new_label_stat = torch.cuda.IntTensor(b, m, nclass).zero_() pointops_cuda.labelstat_ballrange_cuda(b, n, m, radius, nclass, new_xyz, xyz, label_stat, new_label_stat) return new_label_stat @staticmethod def backward(ctx, a=None): return None, None, None, None labelstat_ballrange = LabelStatBallRange.apply class LabelStatIdx(Function): @staticmethod def forward(ctx, nsample: int, label_stat: torch.Tensor, idx: torch.Tensor) -> torch.Tensor: ''' :param ctx: :param nsample: :param label_stat: (b, n, nclass) :param idx: (b, m, nsample) :return: new_label_stat: (b, m, nclass) ''' assert label_stat.is_contiguous() assert idx.is_contiguous() b, n, nclass = label_stat.size() m = idx.size(1) new_label_stat = torch.cuda.IntTensor(b, m, nclass).zero_() pointops_cuda.labelstat_idx_cuda(b, n, m, nsample, nclass, label_stat, idx, new_label_stat) return new_label_stat @staticmethod def backward(ctx, a=None): return None, None, None labelstat_idx = LabelStatIdx.apply class LabelStatAndBallQuery(Function): @staticmethod def forward(ctx, radius: float, nsample: int, xyz: torch.Tensor, new_xyz: torch.Tensor, label_stat: torch.Tensor): ''' :param ctx: :param radius: :param nsample: :param xyz: (b, n, 3) :param new_xyz: (b, m, 3) :param label_stat: (b, n, nclass) :return: new_label_stat: (b, m, nclass) idx: (b, m, nsample) ''' assert xyz.is_contiguous() assert new_xyz.is_contiguous() assert label_stat.is_contiguous() b, n, nclass = label_stat.size() m = new_xyz.size(1) new_label_stat = torch.cuda.IntTensor(b, m, nclass).zero_() idx = torch.cuda.IntTensor(b, m, nsample).zero_() pointops_cuda.labelstat_and_ballquery_cuda(b, n, m, radius, nsample, nclass, new_xyz, xyz, label_stat, idx, new_label_stat) return new_label_stat, idx @staticmethod def backward(ctx, a=None, b=None): return None, None, None, None, None labelstat_and_ballquery = LabelStatAndBallQuery.apply def pairwise_distances(x, y=None): ''' Input: x is a Nxd matrix y is an optional Mxd matirx Output: dist is a NxM matrix where dist[i,j] is the square norm between x[i,:] and y[j,:] if y is not given then use 'y=x'. i.e. dist[i,j] = ||x[i,:]-y[j,:]||^2 ''' x_norm = (x ** 2).sum(1).view(-1, 1) if y is not None: y_t = torch.transpose(y, 0, 1) y_norm = (y ** 2).sum(1).view(1, -1) else: y_t = torch.transpose(x, 0, 1) y_norm = x_norm.view(1, -1) dist = x_norm + y_norm - 2.0 * torch.mm(x, y_t) import numpy as np return torch.clamp(dist, 0.0, np.inf) class KNNQueryNaive(Function): @staticmethod def forward(ctx, nsample: int, xyz: torch.Tensor, new_xyz: torch.Tensor = None) -> Tuple[torch.Tensor]: """ KNN Indexing input: nsample: int32, Number of neighbor xyz: (b, n, 3) coordinates of the features new_xyz: (b, m, 3) centriods output: idx: (b, m, nsample) """ if new_xyz is None: new_xyz = xyz b, m, _ = new_xyz.size() n = xyz.size(1) ''' idx = torch.zeros(b, m, nsample).int().cuda() for i in range(b): dist = pairwise_distances(new_xyz[i, :, :], xyz[i, :, :]) [_, idxs] = torch.sort(dist, dim=1) idx[i, :, :] = idxs[:, 0:nsample] ''' # ''' # new_xyz_repeat = new_xyz.repeat(1, 1, n).view(b, m * n, 3) # xyz_repeat = xyz.repeat(1, m, 1).view(b, m * n, 3) # dist = (new_xyz_repeat - xyz_repeat).pow(2).sum(dim=2).view(b, m, n) dist = (new_xyz.repeat(1, 1, n).view(b, m * n, 3) - xyz.repeat(1, m, 1).view(b, m * n, 3)).pow(2).sum(dim=2).view(b, m, n) [_, idxs] = torch.sort(dist, dim=2) idx = idxs[:, :, 0:nsample].int() # ''' return idx @staticmethod def backward(ctx): return None, None, None knnquery_naive = KNNQueryNaive.apply class KNNQuery(Function): @staticmethod def forward(ctx, nsample: int, xyz: torch.Tensor, new_xyz: torch.Tensor = None) -> Tuple[torch.Tensor]: """ KNN Indexing input: nsample: int32, Number of neighbor xyz: (b, n, 3) coordinates of the features new_xyz: (b, m, 3) centriods output: idx: (b, m, nsample) ( dist2: (b, m, nsample) ) """ if new_xyz is None: new_xyz = xyz assert xyz.is_contiguous() assert new_xyz.is_contiguous() b, m, _ = new_xyz.size() n = xyz.size(1) idx = torch.cuda.IntTensor(b, m, nsample).zero_() dist2 = torch.cuda.FloatTensor(b, m, nsample).zero_() pointops_cuda.knnquery_cuda(b, n, m, nsample, xyz, new_xyz, idx, dist2) return idx @staticmethod def backward(ctx, a=None): return None, None, None knnquery = KNNQuery.apply class KNNQueryExclude(Function): @staticmethod def forward(ctx, nsample: int, xyz: torch.Tensor, new_xyz: torch.Tensor = None) -> Tuple[torch.Tensor]: """ KNN Indexing input: nsample: int32, Number of neighbor xyz: (b, n, 3) coordinates of the features new_xyz: (b, m, 3) centriods output: new_features: (b, m, nsample) """ if new_xyz is None: new_xyz = xyz b, m, _ = new_xyz.size() n = xyz.size(1) ''' idx = torch.zeros(b, m, nsample).int().cuda() for i in range(b): dist = pairwise_distances(new_xyz[i, :, :], xyz[i, :, :]) [_, idxs] = torch.sort(dist, dim=1) idx[i, :, :] = idxs[:, 0:nsample] ''' # ''' # new_xyz_repeat = new_xyz.repeat(1, 1, n).view(b, m * n, 3) # xyz_repeat = xyz.repeat(1, m, 1).view(b, m * n, 3) # dist = (new_xyz_repeat - xyz_repeat).pow(2).sum(dim=2).view(b, m, n) dist = (new_xyz.repeat(1, 1, n).view(b, m * n, 3) - xyz.repeat(1, m, 1).view(b, m * n, 3)).pow(2).sum(dim=2).view(b, m, n) [_, idxs] = torch.sort(dist, dim=2) idx = idxs[:, :, 1:nsample+1].int() # ''' return idx @staticmethod def backward(ctx): return None, None, None knnquery_exclude = KNNQueryExclude.apply class Le_QueryAndGroup_SameSize(nn.Module): """ Groups with a ball query of radius parameters: radius: float32, Radius of ball nsample: int32, Maximum number of features to gather in the ball """ def __init__(self, radius=None, nsample=32, use_xyz=True): super(Le_QueryAndGroup_SameSize, self).__init__() self.radius, self.nsample, self.use_xyz = radius, nsample, use_xyz def forward(self, xyz: torch.Tensor, new_xyz: torch.Tensor = None, features: torch.Tensor = None, idx: torch.Tensor = None) -> torch.Tensor: """ input: xyz: (b, n, 3) coordinates of the features new_xyz: (b, n, 3) centriods features: (b, c, n) idx: idx of neighbors # idxs: (b, n) output: new_features: (b, c+3, m, nsample) # grouped_idxs: (b, m, nsample) """ assert xyz.size() == new_xyz.size() if new_xyz is None: new_xyz = xyz if idx is None: if self.radius is not None: idx = ballquery(self.radius, self.nsample, xyz, new_xyz) else: # idx = knnquery_naive(self.nsample, xyz, new_xyz) # (b, m, nsample) idx = knnquery(self.nsample, xyz, new_xyz) # (b, m, nsample) xyz_trans = xyz.transpose(1, 2).contiguous() grouped_xyz = grouping(xyz_trans, idx) # (b, 3, m, nsample) # grouped_idxs = grouping(idxs.unsqueeze(1).float(), idx).squeeze(1).int() # (b, m, nsample) grouped_xyz -= new_xyz.transpose(1, 2).unsqueeze(-1) if features is not None: grouped_features = grouping(features, idx) # (b, c, m, nsample) if self.use_xyz: #new_features = torch.cat([grouped_xyz, grouped_features], dim=1) # (b, c+3, m, nsample) # le new_features = grouped_features # (b, c, m, nsample) else: new_features = grouped_features else: assert self.use_xyz, "Cannot have not features and not use xyz as a feature!" new_features = grouped_xyz return grouped_xyz, new_features class QueryAndGroup(nn.Module): """ Groups with a ball query of radius parameters: radius: float32, Radius of ball nsample: int32, Maximum number of features to gather in the ball """ def __init__(self, radius=None, nsample=32, use_xyz=True): super(QueryAndGroup, self).__init__() self.radius, self.nsample, self.use_xyz = radius, nsample, use_xyz def forward(self, xyz: torch.Tensor, new_xyz: torch.Tensor = None, features: torch.Tensor = None, idx: torch.Tensor = None) -> torch.Tensor: """ input: xyz: (b, n, 3) coordinates of the features new_xyz: (b, m, 3) centriods features: (b, c, n) idx: idx of neighbors # idxs: (b, n) output: new_features: (b, c+3, m, nsample) # grouped_idxs: (b, m, nsample) """ if new_xyz is None: new_xyz = xyz if idx is None: if self.radius is not None: idx = ballquery(self.radius, self.nsample, xyz, new_xyz) else: # idx = knnquery_naive(self.nsample, xyz, new_xyz) # (b, m, nsample) idx = knnquery(self.nsample, xyz, new_xyz) # (b, m, nsample) xyz_trans = xyz.transpose(1, 2).contiguous() grouped_xyz = grouping(xyz_trans, idx) # (b, 3, m, nsample) # grouped_idxs = grouping(idxs.unsqueeze(1).float(), idx).squeeze(1).int() # (b, m, nsample) grouped_xyz -= new_xyz.transpose(1, 2).unsqueeze(-1) if features is not None: grouped_features = grouping(features, idx) if self.use_xyz: new_features = torch.cat([grouped_xyz, grouped_features], dim=1) # (b, c+3, m, nsample) else: new_features = grouped_features else: assert self.use_xyz, "Cannot have not features and not use xyz as a feature!" new_features = grouped_xyz return new_features class QueryAndGroup_Dilate(nn.Module): """ Groups with a ball query of radius parameters: radius: float32, Radius of ball nsample: int32, Maximum number of features to gather in the ball """ def __init__(self, radius=None, nsample=32, use_xyz=True): super(QueryAndGroup_Dilate, self).__init__() self.radius, self.nsample, self.use_xyz = radius, nsample, use_xyz def forward(self, xyz: torch.Tensor, new_xyz: torch.Tensor = None, features: torch.Tensor = None, idx: torch.Tensor = None) -> torch.Tensor: """ input: xyz: (b, n, 3) coordinates of the features new_xyz: (b, m, 3) centriods features: (b, c, n) idx: idx of neighbors # idxs: (b, n) output: new_features: (b, c+3, m, nsample) # grouped_idxs: (b, m, nsample) """ if new_xyz is None: new_xyz = xyz if idx is None: if self.radius is not None: idx = ballquery(self.radius, 2*self.nsample, xyz, new_xyz) else: # idx = knnquery_naive(self.nsample, xyz, new_xyz) # (b, m, nsample) idx = knnquery(2*self.nsample, xyz, new_xyz) # (b, m, nsample) idx2 = np.array([i for i in range(2*self.nsample)]) np.random.shuffle(idx2) idx2 = idx2[:self.nsample] idx = idx[:, :, idx2] xyz_trans = xyz.transpose(1, 2).contiguous() grouped_xyz = grouping(xyz_trans, idx) # (b, 3, m, nsample) # grouped_idxs = grouping(idxs.unsqueeze(1).float(), idx).squeeze(1).int() # (b, m, nsample) grouped_xyz -= new_xyz.transpose(1, 2).unsqueeze(-1) if features is not None: grouped_features = grouping(features, idx) if self.use_xyz: new_features = torch.cat([grouped_xyz, grouped_features], dim=1) # (b, c+3, m, nsample) else: new_features = grouped_features else: assert self.use_xyz, "Cannot have not features and not use xyz as a feature!" new_features = grouped_xyz return new_features class Le_QueryAndGroup(nn.Module): """ Groups with a ball query of radius parameters: radius: float32, Radius of ball nsample: int32, Maximum number of features to gather in the ball """ def __init__(self, radius=None, nsample=32, use_xyz=True): super(Le_QueryAndGroup, self).__init__() self.radius, self.nsample, self.use_xyz = radius, nsample, use_xyz def forward(self, xyz: torch.Tensor, new_xyz: torch.Tensor = None, features: torch.Tensor = None, idx: torch.Tensor = None) -> torch.Tensor: """ input: xyz: (b, n, 3) coordinates of the features new_xyz: (b, m, 3) centriods features: (b, c, n) idx: idx of neighbors # idxs: (b, n) output: new_features: (b, c+3, m, nsample) # grouped_idxs: (b, m, nsample) """ if new_xyz is None: new_xyz = xyz if idx is None: if self.radius is not None: idx = ballquery(self.radius, self.nsample, xyz, new_xyz) else: # idx = knnquery_naive(self.nsample, xyz, new_xyz) # (b, m, nsample) idx = knnquery(self.nsample, xyz, new_xyz) # (b, m, nsample) xyz_trans = xyz.transpose(1, 2).contiguous() grouped_xyz = grouping(xyz_trans, idx) # (b, 3, m, nsample) # grouped_idxs = grouping(idxs.unsqueeze(1).float(), idx).squeeze(1).int() # (b, m, nsample) grouped_xyz -= new_xyz.transpose(1, 2).unsqueeze(-1) if features is not None: grouped_features = grouping(features, idx) # (b, c, m, nsample) if self.use_xyz: #new_features = torch.cat([grouped_xyz, grouped_features], dim=1) # (b, c+3, m, nsample) # le new_features = grouped_features # (b, c, m, nsample) else: new_features = grouped_features else: assert self.use_xyz, "Cannot have not features and not use xyz as a feature!" new_features = grouped_xyz return grouped_xyz, new_features class Gen_QueryAndGroupXYZ(nn.Module): """ Groups with a ball query of radius parameters: radius: float32, Radius of ball nsample: int32, Maximum number of features to gather in the ball """ def __init__(self, radius=None, nsample=32, use_xyz=True): super(Gen_QueryAndGroupXYZ, self).__init__() self.radius, self.nsample, self.use_xyz = radius, nsample, use_xyz #def forward(self, xyz: torch.Tensor, new_xyz: torch.Tensor = None, features: torch.Tensor = None, idx: torch.Tensor = None) -> torch.Tensor: def forward(self, xyz: torch.Tensor, new_xyz: torch.Tensor = None) -> torch.Tensor: """ input: xyz: (b, n, 3) coordinates of the features new_xyz: (b, m, 3) centriods features: (b, c, n) idx: idx of neighbors # idxs: (b, n) output: new_features: (b, c+3, m, nsample) # grouped_idxs: (b, m, nsample) """ if new_xyz is None: new_xyz = xyz #if idx is None: if self.radius is not None: idx = ballquery(self.radius, self.nsample, xyz, new_xyz) else: idx = knnquery(self.nsample, xyz, new_xyz) # (b, m, nsample) xyz_trans = xyz.transpose(1, 2).contiguous() # BxNx3 -> Bx3xN grouped_xyz = grouping(xyz_trans, idx) # (b, 3, m, nsample) return grouped_xyz class Le_QueryAndGroup_OnlyFeature(nn.Module): """ Groups with a ball query of radius parameters: radius: float32, Radius of ball nsample: int32, Maximum number of features to gather in the ball """ def __init__(self, radius=None, nsample=32, use_xyz=True): super(Le_QueryAndGroup_OnlyFeature, self).__init__() self.radius, self.nsample, self.use_xyz = radius, nsample, use_xyz def forward(self, xyz: torch.Tensor, new_xyz: torch.Tensor = None, features: torch.Tensor = None, idx: torch.Tensor = None) -> torch.Tensor: """ input: xyz: (b, n, 3) coordinates of the features new_xyz: (b, m, 3) centriods features: (b, c, n) idx: idx of neighbors # idxs: (b, n) output: new_features: (b, c+3, m, nsample) # grouped_idxs: (b, m, nsample) """ if new_xyz is None: new_xyz = xyz if idx is None: if self.radius is not None: idx = ballquery(self.radius, self.nsample, xyz, new_xyz) else: # idx = knnquery_naive(self.nsample, xyz, new_xyz) # (b, m, nsample) idx = knnquery(self.nsample, xyz, new_xyz) # (b, m, nsample) #xyz_trans = xyz.transpose(1, 2).contiguous() #grouped_xyz = grouping(xyz_trans, idx) # (b, 3, m, nsample) # grouped_idxs = grouping(idxs.unsqueeze(1).float(), idx).squeeze(1).int() # (b, m, nsample) #grouped_xyz -= new_xyz.transpose(1, 2).unsqueeze(-1) if features is not None: grouped_features = grouping(features, idx) # (b, c, m, nsample) if self.use_xyz: #new_features = torch.cat([grouped_xyz, grouped_features], dim=1) # (b, c+3, m, nsample) # le new_features = grouped_features # (b, c, m, nsample) else: new_features = grouped_features else: assert self.use_xyz, "Cannot have not features and not use xyz as a feature!" new_features = grouped_xyz return new_features class GroupAll(nn.Module): """ Groups all features """ def __init__(self, use_xyz: bool = True): super(GroupAll, self).__init__() self.use_xyz = use_xyz def forward(self, xyz: torch.Tensor, new_xyz: torch.Tensor, features: torch.Tensor = None) -> Tuple[torch.Tensor]: """ input: xyz: (b, n, 3) coordinates of the features new_xyz: ignored torch features: (b, c, n) descriptors of the features output: new_features: (b, c+3, 1, N) tensor """ grouped_xyz = xyz.transpose(1, 2).unsqueeze(2) if features is not None: grouped_features = features.unsqueeze(2) if self.use_xyz: new_features = torch.cat([grouped_xyz, grouped_features], dim=1) # (b, c+3, 1, n) else: new_features = grouped_features else: new_features = grouped_xyz return new_features

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0.010149

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37.50706

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null

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1

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null

0

3

b97e1419e0e45b84ecc462227c812c10beb92718

181

py

Python

YouTube/CursoEmVideo/python/ex012.py

Fh-Shadow/Progamando

f496d83c36e9a079ed06b4e7c34396c57f539de9

[ "MIT" ]

null

YouTube/CursoEmVideo/python/ex012.py

Fh-Shadow/Progamando

f496d83c36e9a079ed06b4e7c34396c57f539de9

[ "MIT" ]

null

YouTube/CursoEmVideo/python/ex012.py

Fh-Shadow/Progamando

f496d83c36e9a079ed06b4e7c34396c57f539de9

[ "MIT" ]

null

a = float(input('Qual é o preço do produto? R$')) d = a - (a * 23 / 100) print('O produto que custava R${:.2f}, na promoção de 23% de desconto vai custar: R${:.2f}' .format(a, d))

45.25

106

0.607735

35

181

3.142857

0.685714

0.054545

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0.061644

0.19337

181

3

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60.333333

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null

0

1

0

1

0

null

0

3

b99506d26f9716e398b3a3724d393185a9900942

1,216

py

Python

hard-gists/98bb452dc14e8c40e403/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

21

2019-07-08T08:26:45.000Z

2022-01-24T23:53:25.000Z

hard-gists/98bb452dc14e8c40e403/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

5

2019-06-15T14:47:47.000Z

2022-02-26T05:02:56.000Z

hard-gists/98bb452dc14e8c40e403/snippet.py

jjhenkel/dockerizeme

eaa4fe5366f6b9adf74399eab01c712cacaeb279

[ "Apache-2.0" ]

17

2019-05-16T03:50:34.000Z

2021-01-14T14:35:12.000Z

from scryptos import * p1 = 32581479300404876772405716877547 p2 = 27038194053540661979045656526063 p3 = 26440615366395242196516853423447 n = p1*p2*p3 e = 3 c = int(open("flag.enc", "rb").read().encode("hex"), 16) # from User's Guide to PARI/GP, nth_root function sqrtnall = 'sqrtnall(x,n)={my(V,r,z,r2);r=sqrtn(x,n,&z);if(!z,error("Impossible case in sqrtn"));if(type(x)=="t_INTMOD"||type(x)=="t_PADIC",r2 = r*z;n=1;while(r2!=r,r2*=z;n++));V=vector(n);V[1]=r;for(i=2,n,V[i]=V[i-1]*z);V}' c1 = eval(parigp([sqrtnall, "Vec(liftall(sqrtnall(Mod(%d, %d), 3)))" % (c, p1)])) c2 = eval(parigp([sqrtnall, "Vec(liftall(sqrtnall(Mod(%d, %d), 3)))" % (c, p2)])) c3 = eval(parigp([sqrtnall, "Vec(liftall(sqrtnall(Mod(%d, %d), 3)))" % (c, p3)])) """ c1 = [6149264605288583791069539134541, 13404203109409336045283549715377, 13028011585706956936052628027629] c2 = [19616973567618515464515107624812] c3 = [13374868592866626517389128266735, 7379361747422713811654086477766, 5686385026105901867473638678946] """ for x in c1: for y in c2: for z in c3: crt = chinese_remainder_theorem([(x, p1), (y, p2), (z, p3)]) d = hex(crt, 2)[2:].decode("hex") if "0ctf" in d: print d[d.find("0ctf"):].strip()

39.225806

224

0.663651

181

1,216

4.430939

0.441989

0.009975

0.067332

0.078554

0.160848

0

0.333959

0.123355

1,216

30

225

40.533333

0.418386

0.038651

0

0.055556

0.384785

0.312018

0

null

0

0.055556

null

0.055556

0

null

0

1

0

1

0

null

0

1

0

3

b9a3c97262cf3c50a695832e8941374463a78067

901

py

Python

tests/test_MaskedArrayCollection.py

ahaldane/NDducktype_tests

4876416e5fbff7ba0d85445c0eeae432d6e80014

[ "BSD-3-Clause" ]

3

2020-06-18T14:18:39.000Z

2021-07-22T18:05:52.000Z

tests/test_MaskedArrayCollection.py

ahaldane/NDducktype_tests

4876416e5fbff7ba0d85445c0eeae432d6e80014

[ "BSD-3-Clause" ]

2

2020-07-19T15:44:09.000Z

2020-07-28T23:22:21.000Z

tests/test_MaskedArrayCollection.py

ahaldane/NDducktype_tests

4876416e5fbff7ba0d85445c0eeae432d6e80014

[ "BSD-3-Clause" ]

2

2019-06-20T00:20:13.000Z

2020-09-20T21:42:52.000Z

#!/usr/bin/env python from ndarray_ducktypes.ArrayCollection import ArrayCollection from ndarray_ducktypes.MaskedArray import MaskedArray from ndarray_ducktypes.MaskedArrayCollection import MaskedArrayCollection import numpy as np # Tests for Masked ArrayCollections. # # First try: Simply make an arraycollection of MaskedArrays. Downside: this # strategy does not give a "filled" method. Probably to get a masked # ArrayCollection we should really subclass ArrayCollection to have a # fill_value and a filled() method #a = MaskedArray(np.arange(10), np.arange(10)%3) #b = MaskedArray(np.arange(10.) + 13, np.arange(10)%2) #c = ArrayCollection([('age', a), ('weight', b)]) #print(repr(c)) #c['age'] += 100 #print(repr(c)) ## second try: Subclass of ArrayCollection #c = MaskedArrayCollection([('age', a), ('weight', b)]) #print(repr(c)) #c['age'] += 100 #print(repr(c)) #print(repr(c.filled()))

31.068966

75

0.738069

125

901

5.288

0.464

0.068079

0.075643

0.06354

0.114977

0

0.022699

0.119867

901

28

76

32.178571

0.810845

0.719201

0

1

0

true

0

1

0

1

0

null

0

null

0

1

0

1

0

1

0

3

b9aa6c3c1ecb2355209fd4db4f58118befbffa8a

225

py

Python

python-basic-grammer/python-basic/02-python-variables-and-string/string_strip_demo.py

jinrunheng/base-of-python

595bdbc8bfaf2136d8f1f9ea82c03b84aeaf0a39

[ "Apache-2.0" ]

null

python-basic-grammer/python-basic/02-python-variables-and-string/string_strip_demo.py

jinrunheng/base-of-python

595bdbc8bfaf2136d8f1f9ea82c03b84aeaf0a39

[ "Apache-2.0" ]

null

python-basic-grammer/python-basic/02-python-variables-and-string/string_strip_demo.py

jinrunheng/base-of-python

595bdbc8bfaf2136d8f1f9ea82c03b84aeaf0a39

[ "Apache-2.0" ]

null

# 字符串删除空白 str1 = " hello " print(str1) print(len(str1)) # 去除两端的空格 print(str1.strip()) print(len(str1.strip())) # 去除左侧的空格 print(str1.lstrip()) print(len(str1.lstrip())) # 去除右侧的空格 print(str1.rstrip()) print(len(str1.rstrip()))

16.071429

25

0.688889

32

225

4.84375

0.34375

0.232258

0.309677

0

0.044118

0.093333

225

14

26

16.071429

0.715686

0.137778

0

0.036842

0

1

0

false

0

0.888889

0

null

1

0

null

0

1

0

3

b9b2dd8fc97fddaaa64ec64957043ee8e8088e39

615

py

Python

frappe-bench/apps/erpnext/erpnext/non_profit/doctype/member/member.py

Semicheche/foa_frappe_docker

a186b65d5e807dd4caf049e8aeb3620a799c1225

[ "MIT" ]

null

frappe-bench/apps/erpnext/erpnext/non_profit/doctype/member/member.py

Semicheche/foa_frappe_docker

a186b65d5e807dd4caf049e8aeb3620a799c1225

[ "MIT" ]

null

frappe-bench/apps/erpnext/erpnext/non_profit/doctype/member/member.py

Semicheche/foa_frappe_docker

a186b65d5e807dd4caf049e8aeb3620a799c1225

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Copyright (c) 2017, Frappe Technologies Pvt. Ltd. and contributors # For license information, please see license.txt from __future__ import unicode_literals from frappe.model.document import Document from frappe.contacts.address_and_contact import load_address_and_contact class Member(Document): def onload(self): """Load address and contacts in `__onload`""" load_address_and_contact(self) def validate(self): self.validate_email_type(self.email) def validate_email_type(self, email): from frappe.utils import validate_email_add validate_email_add(email.strip(), True)

29.285714

72

0.786992

86

615

5.360465

0.488372

0.086768

0.110629

0.091106

0.112798

0

0.009259

0.121951

615

21

73

29.285714

0.844444

0.287805

0

1

0.272727

false

0

0.363636

0

0.727273

0

null

0

null

0

1

0

1

0

1

0

3

b9c3b62c39c9c9979a0f73775051d1aecd742c75

73

py

Python

index.py

StarSky1/microsoft-python-study

7fdc1ad87ac0eeb497013d7792f499416aac32d9

[ "MIT" ]

null

index.py

StarSky1/microsoft-python-study

7fdc1ad87ac0eeb497013d7792f499416aac32d9

[ "MIT" ]

null

index.py

StarSky1/microsoft-python-study

7fdc1ad87ac0eeb497013d7792f499416aac32d9

[ "MIT" ]

null

name=input('input your name:'); print('hello'); print(name.capitalize());

24.333333

31

0.69863

10

73

5.1

0.6

0

0.054795

73

3

32

24.333333

0.73913

0

0.283784

0

1

0

false

0

0.666667

1

0

null

0

1

0

null

0

1

0

3

b9c7d11a999150072e268ba745c49eb08ce5081f

358

py

Python

src/PyDS/Queue/Deque.py

AoWangPhilly/PyDS

d79f92d0d2e7c005ebb8fa9f631d5f01e590625e

[ "MIT" ]

null

src/PyDS/Queue/Deque.py

AoWangPhilly/PyDS

d79f92d0d2e7c005ebb8fa9f631d5f01e590625e

[ "MIT" ]

null

src/PyDS/Queue/Deque.py

AoWangPhilly/PyDS

d79f92d0d2e7c005ebb8fa9f631d5f01e590625e

[ "MIT" ]

null

class Deque: def add_first(self, value): ... def add_last(self, value): ... def delete_first(self): ... def delete_last(self): ... def first(self): ... def last(self): ... def is_empty(self): ... def __len__(self): ... def __str__(self): ...

12.785714

31

0.430168

36

358

3.916667

0.361111

0.297872

0.170213

0

0.410615

358

27

32

13.259259

0.668246

0

0.473684

0

1

0.473684

false

0

0.526316

0

null

1

0

null

0

1

0

1

0

3

b9cd3a4333e6169069ae770751a00e82db1b741a

736

py

Python

bot_da_os/statemachine/person/person_action.py

Atsocs/bot-da-os

e6d54057f4a3b703f303e9944a39e291ac87c40f

[ "MIT" ]

null

bot_da_os/statemachine/person/person_action.py

Atsocs/bot-da-os

e6d54057f4a3b703f303e9944a39e291ac87c40f

[ "MIT" ]

null

bot_da_os/statemachine/person/person_action.py

Atsocs/bot-da-os

e6d54057f4a3b703f303e9944a39e291ac87c40f

[ "MIT" ]

null

from operator import eq class PersonAction: def __init__(self, action): self.action = action def __str__(self): return self.action def __eq__(self, other): return eq(self.action, other.action) # Necessary when __cmp__ or __eq__ is defined # in order to make this class usable as a # dictionary key: def __hash__(self): return hash(self.action) # Static fields; an enumeration of instances: PersonAction.compliment = PersonAction("person compliments") PersonAction.informing = PersonAction("person gives information about the service order") PersonAction.query = PersonAction("person wants to know about his/her order") PersonAction.angry = PersonAction("person is pissed off")

29.44

89

0.72962

93

736

5.516129

0.569892

0.097466

0

0.191576

736

24

90

30.666667

0.862185

0.194293

0

0.214286

0

1

0.307692

false

0

0.076923

0.230769

0.615385

0

null

0

null

0

1

0

1

0

3

b9fa33196acc6d33e769b7c8e96ca3b00aeee8cc

237

wsgi

Python

obviforum/obviforum.wsgi

dcloutman/obviforum

31af0cf6f2e243bff9d920276831415bd5210cf9

[ "MIT" ]

null

obviforum/obviforum.wsgi

dcloutman/obviforum

31af0cf6f2e243bff9d920276831415bd5210cf9

[ "MIT" ]

null

obviforum/obviforum.wsgi

dcloutman/obviforum

31af0cf6f2e243bff9d920276831415bd5210cf9

[ "MIT" ]

null

#!/usr/bin/env python import sys import logging import os logging.basicConfig(stream=sys.stderr) file_dir = os.path.dirname(os.path.realpath(__file__)) sys.path.insert(0, file_dir) from main import app as application from main import db

23.7

54

0.797468

40

237

4.575

0.6

0.076503

0.153005

0

0.004695

0.101266

237

9

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26.333333

0.85446

0.084388

0

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false

0

0.625

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0.625

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null

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1

0

null

0

1

0

1

0

3

b9fc6312cdae3331d02a69bbbf58d767d486a41b

1,361

py

Python

arch/api/base/utils/party.py

yzjba/FATE

9a6d252da637b2583a0f8a51f6cb4c615850bab9

[ "Apache-2.0" ]

32

2020-06-12T08:39:58.000Z

2022-03-20T06:57:08.000Z

arch/api/base/utils/party.py

ErikSun2020/FATE

bdda535c7d8a974fc2c43102837964b7da199730

[ "Apache-2.0" ]

10

2020-11-13T18:55:48.000Z

2022-02-10T02:00:12.000Z

arch/api/base/utils/party.py

ErikSun2020/FATE

bdda535c7d8a974fc2c43102837964b7da199730

[ "Apache-2.0" ]

16

2020-06-12T06:51:46.000Z

2022-03-29T10:23:42.000Z

# # Copyright 2019 The FATE Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # class Party(object): """ Uniquely identify """ def __init__(self, role, party_id): self.role = role self.party_id = party_id def __hash__(self): return (self.role, self.party_id).__hash__() def __str__(self): return f"Party(role={self.role}, party_id={self.party_id})" def __repr__(self): return self.__str__() def __lt__(self, other): return (self.role, self.party_id) < (other.role, other.party_id) def __eq__(self, other): return self.party_id == other.party_id and self.role == other.role def to_pb(self): from arch.api.proto import federation_pb2 return federation_pb2.Party(partyId=f"{self.party_id}", name=self.role)

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null

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null

0

1

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1

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6a0eabac2607fdcd5104aaa4361b75c94d229375

373

py

Python

deep_utils/nlp/utils/utils.py

pooya-mohammadi/deep_utils

b589d8ab0a8d63f3d3b90c3bc0d4b1b648b8be37

[ "MIT" ]

36

2021-11-10T05:17:18.000Z

2022-03-27T18:25:10.000Z

deep_utils/nlp/utils/utils.py

pooya-mohammadi/deep_utils

b589d8ab0a8d63f3d3b90c3bc0d4b1b648b8be37

[ "MIT" ]

1

2021-12-03T07:07:18.000Z

2022-03-08T09:29:03.000Z

deep_utils/nlp/utils/utils.py

pooya-mohammadi/deep_utils

b589d8ab0a8d63f3d3b90c3bc0d4b1b648b8be37

[ "MIT" ]

4

2021-11-28T07:39:57.000Z

2022-03-30T05:46:10.000Z

def multiple_replace(text: str, chars_to_mapping: dict): """ This function is used to replace a dictionary of characters inside a text string :param text: :param chars_to_mapping: :return: """ import re pattern = "|".join(map(re.escape, chars_to_mapping.keys())) return re.sub(pattern, lambda m: chars_to_mapping[m.group()], str(text))

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null

0

1

0

1

0

3

6a1517953444573e16ddd717619e49c3ca5152a5

70

py

Python

core/github/parsers/__init__.py

goranc/GraphYourCodeVulnerability

72c04ed5d63602f295d9ac31e97c97935ca78e1b

[ "Apache-2.0" ]

null

core/github/parsers/__init__.py

goranc/GraphYourCodeVulnerability

72c04ed5d63602f295d9ac31e97c97935ca78e1b

[ "Apache-2.0" ]

2

2021-12-22T11:59:47.000Z

2022-01-19T19:28:36.000Z

core/github/parsers/__init__.py

goranc/GraphYourCodeVulnerability

72c04ed5d63602f295d9ac31e97c97935ca78e1b

[ "Apache-2.0" ]

5

2021-12-22T11:09:23.000Z

2021-12-26T10:18:49.000Z

from .python.parser import PythonParser all_parsers = [PythonParser]

17.5

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null

0

1

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null

0

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3

6a20c03889abf01d98da2c14b133084ab0890d44

3,324

py

Python

cvxpy/cvxcore/tests/python/364A_scripts/power_lines.py

jasondark/cvxpy

56aaa01b0e9d98ae5a91a923708129a7b37a6f18

[ "ECL-2.0", "Apache-2.0" ]

38

2015-10-16T16:55:28.000Z

2022-02-16T05:06:01.000Z

cvxpy/cvxcore/tests/python/364A_scripts/power_lines.py

h-vetinari/cvxpy

86307f271819bb78fcdf64a9c3a424773e8269fa

[ "ECL-2.0", "Apache-2.0" ]

28

2015-09-16T16:33:23.000Z

2021-11-23T07:31:44.000Z

cvxpy/cvxcore/tests/python/364A_scripts/power_lines.py

h-vetinari/cvxpy

86307f271819bb78fcdf64a9c3a424773e8269fa

[ "ECL-2.0", "Apache-2.0" ]

21

2015-09-16T14:56:16.000Z

2022-02-16T05:06:03.000Z

import numpy as np from cvxpy import * import copy import time # data for power flow problem import numpy as np n = 12 # total number of nodes m = 18 # number of edges (transmission lines) k = 4 # number of generators # transmission line capacities = TIME = 0 Pmax = np.matrix(""" 4.8005, 1.9246, 3.4274, 2.9439, 4.5652, 4.0484, 2.8259, 1.0740, 4.2856, 2.7788, 3.4617, 4.1677, 4.6873, 3.9528, 1.7051, 2.6228, 4.7419, 4.6676, """) Gmax = np.matrix("3; 2; 4; 7") # maximum generator power c = np.matrix("4; 8; 5; 3") # supply generator costs d = np.matrix(""" 1.6154 2.3405 1.0868 1.5293 2.2197 1.0148 1.2083 1.3041 """)# network power demands # graph incidence matrix A = np.matrix(""" -1 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ; 0 0 -1 -1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ; 0 0 0 0 0 0 0 0 0 -1 -1 0 0 0 0 0 0 -1 ; 0 0 0 0 0 0 -1 0 0 0 0 0 0 0 -1 0 -1 0 ; 1 0 0 0 1 -1 0 0 0 0 0 0 0 0 0 0 0 0 ; 0 1 1 0 -1 0 1 -1 0 0 0 0 0 0 0 0 0 0 ; 0 0 0 1 0 0 0 0 -1 1 0 0 0 0 0 0 0 0 ; 0 0 0 0 0 0 0 1 1 0 0 0 -1 0 1 0 0 1 ; 0 0 0 0 0 0 0 0 0 0 1 -1 0 0 0 0 0 0 ; 0 0 0 0 0 0 0 0 0 0 0 1 1 -1 0 0 0 0 ; 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 ; 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 -1 1 0 """) g = Variable(k) p = Variable(m) obj = Minimize(c.T*g) constraints = [A*p == vstack(-g, d.T), abs(p) <= Pmax.T, 0 <= g, g <= Gmax] prob = Problem(obj, constraints) tic = time.time() val = prob.solve() toc = time.time() TIME += toc - tic ANSWERS.append(val) pass #print val pass #print g.value # N - 1 contingency g = Variable(k) flows = [] obj = Minimize(c.T*g) for i in range(m): flows.append(Variable(m)) constraints = [g <= Gmax, 0 <= g] for i in range(m): # N -1 redundancy constraints.append(A*flows[i] == vstack(-g, d.T)) constraints.append( flows[i][i] == 0 ) constraints.append( abs(flows[i]) <= Pmax.T ) prob = Problem(obj, constraints) tic = time.time() val = prob.solve() toc = time.time() TIME += toc - tic ANSWERS.append(val) pass #print val pass #print g.value # the code below is not data for the problem # it is used only to generate the network graph # x-y coordinates # each row is node x-y coordinates XY = np.matrix(""" 1.5 5.2; 4.9 5; 6.9 3.5; 1.9 3.5; 0.2 4.4; 3.2 4.8; 5.9 4.5; 3.9 3.6; 5.9 2.5; 3.9 3; 1.4 2.5; 0 3 """); # node adjacency matrix Ad = -A*A.T Ad = Ad - np.diag(np.diag(Ad)) epsx = 0.05; epsy = 0.15; # text placing offset # plotting import matplotlib.pyplot as plt for i in range(12): #plot edges for j in range(i): if Ad[i,j] == 1: pass #plt.plot((XY[i,0], XY[j,0]), (XY[i,1], XY[j,1]), 'k-') for j in range(k): #plot nodes pass #plt.plot(XY[j,0],XY[j,1],'rs', markersize=12) pass #plt.text(XY[j,0]-epsx,XY[j,1]+epsy,str(j+1)) for j in range(k,n): pass #plt.plot(XY[j,0],XY[j,1],'ko') pass #plt.axis('off') pass #plt.savefig('pwr_net.eps') if __name__ == '__main__': pass #plt.show()

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null

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1

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null

0

1

0

3

6a2c58ba82079e0bdc04e7b2c1c567a97cd9075d

451

py

Python

Message/Message.py

gauravyeole/KVstoreDB

1c7c83b158e95daec998fba62a89fa1211a05089

[ "MIT" ]

1

2019-10-01T12:22:38.000Z

Message/Message.py

gauravyeole/KVstoreDB

1c7c83b158e95daec998fba62a89fa1211a05089

[ "MIT" ]

null

Message/Message.py

gauravyeole/KVstoreDB

1c7c83b158e95daec998fba62a89fa1211a05089

[ "MIT" ]

null

# Message class Implementation # @author: Gaurav Yeole <[email protected]> class Message: class Request: def __init__(self, action="", data=None): self.action = action self.data = data class Rsponse: def __init__(self): self.status = False self.data = None def __init__(self): pass def set_request(self): pass def response(self): pass

20.5

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4.979592

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0.341463

451

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false

0.2

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0

null

0

null

0

1

0

1

0

1

0

3

6a2db7981b57ab2addb91eebdfdaf255263aca79

230

py

Python

wpt/websockets/websock_handlers/open_delay_wsh.py

gsnedders/presto-testo

a0acfbef13a3f8cae67cc7145216d31b67aa8eb4

[ "BSD-3-Clause" ]

null

wpt/websockets/websock_handlers/open_delay_wsh.py

gsnedders/presto-testo

a0acfbef13a3f8cae67cc7145216d31b67aa8eb4

[ "BSD-3-Clause" ]

null

wpt/websockets/websock_handlers/open_delay_wsh.py

gsnedders/presto-testo

a0acfbef13a3f8cae67cc7145216d31b67aa8eb4

[ "BSD-3-Clause" ]

null

#!/usr/bin/python from mod_pywebsocket import msgutil import time def web_socket_do_extra_handshake(request): pass # Always accept. def web_socket_transfer_data(request): time.sleep(3) msgutil.send_message(request, "line")

19.166667

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44

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false

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null

0

null

0

1

0

1

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1

0

3

6a36b0c35f3000da705fd087f744d451ba48d8fd

531

py

Python

Udemy/REST-Django-VueJS/C3-practice/03-demo/job_board/jobs/models.py

runzezhang/MOOCs

8df8c7adc5af3d7b085be01ae9b6963fe33acd68

[ "Apache-2.0" ]

3

2019-04-05T18:59:53.000Z

2020-09-24T09:05:46.000Z

Udemy/REST-Django-VueJS/C3-practice/03-demo/job_board/jobs/models.py

runzezhang/MOOCs

8df8c7adc5af3d7b085be01ae9b6963fe33acd68

[ "Apache-2.0" ]

null

Udemy/REST-Django-VueJS/C3-practice/03-demo/job_board/jobs/models.py

runzezhang/MOOCs

8df8c7adc5af3d7b085be01ae9b6963fe33acd68

[ "Apache-2.0" ]

1

2019-02-10T13:35:36.000Z

from django.db import models class JobOffer(models.Model): company_name = models.CharField(max_length=50) company_email = models.EmailField() job_title = models.CharField(max_length=60) job_description = models.TextField() salary = models.PositiveIntegerField() city = models.CharField(max_length=35) state = models.CharField(max_length=35) created_at = models.DateField(auto_now_add=True) available = models.BooleanField(default=True) def __str__(self): return self.company_name

31.235294

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0.255319

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0

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531

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false

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1

0

null

0

1

0

null

0

1

0

3

6a49d502d09956cefd00c54538889163bfebf8f9

1,157

py

Python

dltb/thirdparty/datasource/__init__.py

CogSciUOS/DeepLearningToolbox

bf07578b9486d8c48e25df357bc4b9963b513b46

[ "MIT" ]

2

2019-09-01T01:38:59.000Z

2020-02-13T19:25:51.000Z

dltb/thirdparty/datasource/__init__.py

CogSciUOS/DeepLearningToolbox

bf07578b9486d8c48e25df357bc4b9963b513b46

[ "MIT" ]

null

dltb/thirdparty/datasource/__init__.py

CogSciUOS/DeepLearningToolbox

bf07578b9486d8c48e25df357bc4b9963b513b46

[ "MIT" ]

null

"""Predefined Datasources. """ # toolbox imports from ...datasource import Datasource Datasource.register_instance('imagenet-val', __name__ + '.imagenet', 'ImageNet', section='val') # section='train' Datasource.register_instance('dogsandcats', __name__ + '.dogsandcats', 'DogsAndCats') Datasource.register_instance('widerface', __name__ + '.widerface', 'WiderFace') Datasource.register_instance('fgnet', __name__ + '.fgnet', 'FGNet') Datasource.register_instance('Helen', __name__ + '.helen', 'Helen') Datasource.register_instance('lfw', __name__ + '.lfw', 'LabeledFacesInTheWild') Datasource.register_instance('ms-celeb-1m', __name__ + '.face', 'MSCeleb1M') Datasource.register_instance('5celeb', __name__ + '.fivecelebface', 'FiveCelebFace') Datasource.register_instance('ffhq', __name__ + '.ffhq', 'FFHQ') Datasource.register_instance('celeba', __name__ + '.celeba', 'CelebA') Datasource.register_instance('celeba-aligned', __name__ + '.celeba', 'CelebA', aligned=True) Datasource.register_class('WiderFace', __name__ + '.widerface')

48.208333

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23

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0

null

1

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null

0

1

0

3

e002150863388c3c73e7c985abca9ac6c4427a70

2,587

bzl

Python

third_party/org_specs2.bzl

wix/wix-oss-infra

b57ac2f0f66487cfdd08293a8fa389efe3d42c43

[ "MIT" ]

3

2020-01-14T12:57:31.000Z

2021-06-06T20:47:57.000Z

third_party/org_specs2.bzl

wix/wix-oss-infra

b57ac2f0f66487cfdd08293a8fa389efe3d42c43

[ "MIT" ]

20

2020-04-02T13:08:43.000Z

2020-11-05T11:27:40.000Z

third_party/org_specs2.bzl

wix/wix-oss-infra

b57ac2f0f66487cfdd08293a8fa389efe3d42c43

[ "MIT" ]

1

2021-04-02T09:32:35.000Z

load("@wix_oss_infra//:import_external.bzl", import_external = "safe_wix_scala_maven_import_external") def dependencies(): import_external( name = "org_specs2_specs2_fp_2_12", artifact = "org.specs2:specs2-fp_2.12:4.8.3", artifact_sha256 = "777962ca58054a9ea86e294e025453ecf394c60084c28bd61956a00d16be31a7", srcjar_sha256 = "6b8bd1e7210754b768b68610709271c0dac29447936a976a2a9881389e6404ca", deps = [ "@org_scala_lang_scala_library" ], ) import_external( name = "org_specs2_specs2_common_2_12", artifact = "org.specs2:specs2-common_2.12:4.8.3", artifact_sha256 = "3b08fecb9e21d3903e48b62cd95c19ea9253d466e03fd4cf9dc9227e7c368708", srcjar_sha256 = "b2f148c75d3939b3cd0d58afddd74a8ce03077bb3ccdc93dae55bd9c3993e9c3", deps = [ "@org_scala_lang_modules_scala_parser_combinators_2_12", "@org_scala_lang_modules_scala_xml_2_12", "@org_scala_lang_scala_library", "@org_scala_lang_scala_reflect", "@org_specs2_specs2_fp_2_12" ], ) import_external( name = "org_specs2_specs2_matcher_2_12", artifact = "org.specs2:specs2-matcher_2.12:4.8.3", artifact_sha256 = "aadf27b6d015572b2e3842627c09bf0797153dbb329262ea3bcbbce129d51ad8", srcjar_sha256 = "01251acc28219aa17aabcb9a26a84e1871aa64980d335cd8f83c2bcea6f4f1be", deps = [ "@org_scala_lang_scala_library", "@org_specs2_specs2_common_2_12" ], ) import_external( name = "org_specs2_specs2_core_2_12", artifact = "org.specs2:specs2-core_2.12:4.8.3", artifact_sha256 = "f73f32156a711a4e83e696dc83e269c5a165d62cc3dd7c652617cb03d140d063", srcjar_sha256 = "0e3cebfc7410051b70e627e35f13978add3d061b8f1233741f9b397638f193e9", deps = [ "@org_scala_lang_scala_library", "@org_scala_sbt_test_interface", "@org_specs2_specs2_common_2_12", "@org_specs2_specs2_matcher_2_12" ], ) import_external( name = "org_specs2_specs2_junit_2_12", artifact = "org.specs2:specs2-junit_2.12:4.8.3", artifact_sha256 = "5d7ad2c0b0bc142ea064edb7a1ea75ab7b17ad37e1a621ac7e578823845098e8", srcjar_sha256 = "84edd1cd6291f6686638225fcbaff970ae36da006efabf2228255c2127b2290c", deps = [ "@junit_junit", "@org_scala_lang_scala_library", "@org_scala_sbt_test_interface", "@org_specs2_specs2_core_2_12" ], )

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