


import time
from dataclasses import dataclass
from multiprocessing import Pool
from unittest import TestCase
from unittest.mock import patch

import multiprocess
import numpy as np
import pytest

from datasets.utils.py_utils import (
    NestedDataStructure,
    asdict,
    iflatmap_unordered,
    map_nested,
    temp_seed,
    temporary_assignment,
    zip_dict,
)

from .utils import require_tf, require_torch




def     UpperCamelCase    (      _a		)					->							Dict:  # picklable for multiprocessing
     '''simple docstring'''





     return x.sum()




def     UpperCamelCase    (      _a		)					->							Optional[int]:  # picklable for multiprocessing
     '''simple docstring'''





     return i + 1






@dataclass
class      UpperCamelCase					:


   '''simple docstring'''







   lowercase					:	int
   lowercase					:	str






class      UpperCamelCase					(		lowercase__     ):


   '''simple docstring'''







   def 		UpperCamelCase  (     self		):
        lowercase_       :str     =       {}
        lowercase_       :Union[str, Any]     =       []
        lowercase_       :Optional[int]     =       1
        lowercase_       :str     =       [1, 2]
        lowercase_       :Dict     =       {'''a''': 1, '''b''': 2}
        lowercase_       :List[str]     =       {'''a''': [1, 2], '''b''': [3, 4]}
        lowercase_       :Any     =       {'''a''': {'''1''': 1}, '''b''': 2}
        lowercase_       :int     =       {'''a''': 1, '''b''': 2, '''c''': 3, '''d''': 4}
        lowercase_       :Union[str, Any]     =       {}
        lowercase_       :Tuple     =       []
        lowercase_       :Any     =       2
        lowercase_       :Optional[Any]     =       [2, 3]
        lowercase_       :List[str]     =       {'''a''': 2, '''b''': 3}
        lowercase_       :int     =       {'''a''': [2, 3], '''b''': [4, 5]}
        lowercase_       :int     =       {'''a''': {'''1''': 2}, '''b''': 3}
        lowercase_       :int     =       {'''a''': 2, '''b''': 3, '''c''': 4, '''d''': 5}
        self.assertEqual(map_nested(UpperCamelCase_   ,							UpperCamelCase_		)   ,							UpperCamelCase_		)
        self.assertEqual(map_nested(UpperCamelCase_   ,							UpperCamelCase_		)   ,							UpperCamelCase_		)
        self.assertEqual(map_nested(UpperCamelCase_   ,							UpperCamelCase_		)   ,							UpperCamelCase_		)
        self.assertEqual(map_nested(UpperCamelCase_   ,							UpperCamelCase_		)   ,							UpperCamelCase_		)
        self.assertEqual(map_nested(UpperCamelCase_   ,							UpperCamelCase_		)   ,							UpperCamelCase_		)
        self.assertEqual(map_nested(UpperCamelCase_   ,							UpperCamelCase_		)   ,							UpperCamelCase_		)
        self.assertEqual(map_nested(UpperCamelCase_   ,							UpperCamelCase_		)   ,							UpperCamelCase_		)
        self.assertEqual(map_nested(UpperCamelCase_   ,							UpperCamelCase_		)   ,							UpperCamelCase_		)

        lowercase_       :List[str]     =       2
        self.assertEqual(map_nested(UpperCamelCase_   ,							UpperCamelCase_   ,							num_proc=UpperCamelCase_		)   ,							UpperCamelCase_		)
        self.assertEqual(map_nested(UpperCamelCase_   ,							UpperCamelCase_   ,							num_proc=UpperCamelCase_		)   ,							UpperCamelCase_		)
        self.assertEqual(map_nested(UpperCamelCase_   ,							UpperCamelCase_   ,							num_proc=UpperCamelCase_		)   ,							UpperCamelCase_		)
        self.assertEqual(map_nested(UpperCamelCase_   ,							UpperCamelCase_   ,							num_proc=UpperCamelCase_		)   ,							UpperCamelCase_		)
        self.assertEqual(map_nested(UpperCamelCase_   ,							UpperCamelCase_   ,							num_proc=UpperCamelCase_		)   ,							UpperCamelCase_		)
        self.assertEqual(map_nested(UpperCamelCase_   ,							UpperCamelCase_   ,							num_proc=UpperCamelCase_		)   ,							UpperCamelCase_		)
        self.assertEqual(map_nested(UpperCamelCase_   ,							UpperCamelCase_   ,							num_proc=UpperCamelCase_		)   ,							UpperCamelCase_		)
        self.assertEqual(map_nested(UpperCamelCase_   ,							UpperCamelCase_   ,							num_proc=UpperCamelCase_		)   ,							UpperCamelCase_		)

        lowercase_       :Optional[int]     =       {'''a''': np.eye(2		), '''b''': np.zeros(3		), '''c''': np.ones(2		)}
        lowercase_       :Any     =       {'''a''': 2, '''b''': 0, '''c''': 2}
        lowercase_       :Union[str, Any]     =       {
            '''a''': np.eye(2		).astype(UpperCamelCase_		),
            '''b''': np.zeros(3		).astype(UpperCamelCase_		),
            '''c''': np.ones(2		).astype(UpperCamelCase_		),
        }
        self.assertEqual(map_nested(UpperCamelCase_   ,							UpperCamelCase_   ,							map_numpy=UpperCamelCase_		)   ,							UpperCamelCase_		)
        self.assertEqual(
            {k: v.tolist() for k, v in map_nested(UpperCamelCase_   ,							UpperCamelCase_   ,							map_numpy=UpperCamelCase_		).items()}   ,							{k: v.tolist() for k, v in expected_map_nested_sna_int.items()}   ,							)
        self.assertEqual(map_nested(UpperCamelCase_   ,							UpperCamelCase_   ,							map_numpy=UpperCamelCase_   ,							num_proc=UpperCamelCase_		)   ,							UpperCamelCase_		)
        self.assertEqual(
            {k: v.tolist() for k, v in map_nested(UpperCamelCase_   ,							UpperCamelCase_   ,							map_numpy=UpperCamelCase_   ,							num_proc=UpperCamelCase_		).items()}   ,							{k: v.tolist() for k, v in expected_map_nested_sna_int.items()}   ,							)
        with self.assertRaises(UpperCamelCase_		):  # can't pickle a local lambda
             map_nested(lambda UpperCamelCase_		: x + 1   ,							UpperCamelCase_   ,							num_proc=UpperCamelCase_		)
   def 		UpperCamelCase  (     self		):
        lowercase_       :int     =       {'''a''': 1, '''b''': 2}
        lowercase_       :Optional[int]     =       {'''a''': 3, '''b''': 4}
        lowercase_       :Union[str, Any]     =       {'''a''': 5, '''b''': 6}
        lowercase_       :Optional[Any]     =       sorted([('''a''', (1, 3, 5)), ('''b''', (2, 4, 6))]		)
        self.assertEqual(sorted(zip_dict(UpperCamelCase_   ,							UpperCamelCase_   ,							UpperCamelCase_		)		)   ,							UpperCamelCase_		)




   def 		UpperCamelCase  (     self		):






        class      UpperCamelCase					:


           '''simple docstring'''







           lowercase					:	List[Any]									="""bar"""
        lowercase_       :Union[str, Any]     =       Foo()
        self.assertEqual(foo.my_attr   ,							'''bar'''		)
        with temporary_assignment(UpperCamelCase_   ,							'''my_attr'''   ,							'''BAR'''		):
             self.assertEqual(foo.my_attr   ,							'''BAR'''		)
        self.assertEqual(foo.my_attr   ,							'''bar'''		)




@pytest.mark.parametrize(
    '''iterable_length, num_proc, expected_num_proc'''       ,		[
        (1, None, 1),
        (1, 1, 1),
        (2, None, 1),
        (2, 1, 1),
        (2, 2, 1),
        (2, 3, 1),
        (3, 2, 1),
        (1_6, 1_6, 1_6),
        (1_6, 1_7, 1_6),
        (1_7, 1_6, 1_6),
    ]       ,		)
def     UpperCamelCase    (      _a       ,		_a       ,		_a		)					->							Optional[Any]:
     '''simple docstring'''





     with patch('''datasets.utils.py_utils._single_map_nested'''		) as mock_single_map_nested, patch(
         '''datasets.parallel.parallel.Pool'''		) as mock_multiprocessing_pool:
          lowercase_       :List[str]     =       {f"{i}": i for i in range(_a		)}
          lowercase_       :List[str]     =       map_nested(lambda _a		: x + 1_0       ,		_a       ,		num_proc=_a       ,		parallel_min_length=1_6		)
          if expected_num_proc == 1:
               assert mock_single_map_nested.called
               assert not mock_multiprocessing_pool.called
          else:
               assert not mock_single_map_nested.called
               assert mock_multiprocessing_pool.called
               assert mock_multiprocessing_pool.call_args[0][0] == expected_num_proc






class      UpperCamelCase					(		lowercase__     ):


   '''simple docstring'''







   @require_tf
   def 		UpperCamelCase  (     self		):
        import tensorflow as tf
        from tensorflow.keras import layers

        lowercase_       :List[str]     =       layers.Dense(2		)

        def gen_random_output():
             lowercase_       :List[str]     =       tf.random.uniform((1, 3)		)
             return model(UpperCamelCase_		).numpy()

        with temp_seed(42   ,							set_tensorflow=UpperCamelCase_		):
             lowercase_       :Optional[Any]     =       gen_random_output()
        with temp_seed(42   ,							set_tensorflow=UpperCamelCase_		):
             lowercase_       :Optional[int]     =       gen_random_output()
        lowercase_       :Optional[int]     =       gen_random_output()

        np.testing.assert_equal(UpperCamelCase_   ,							UpperCamelCase_		)
        self.assertGreater(np.abs(outa - outa		).sum()   ,							0		)
   @require_torch
   def 		UpperCamelCase  (     self		):
        import torch

        def gen_random_output():
             lowercase_       :Optional[Any]     =       torch.nn.Linear(3   ,							2		)
             lowercase_       :Tuple     =       torch.rand(1   ,							3		)
             return model(UpperCamelCase_		).detach().numpy()

        with temp_seed(42   ,							set_pytorch=UpperCamelCase_		):
             lowercase_       :List[str]     =       gen_random_output()
        with temp_seed(42   ,							set_pytorch=UpperCamelCase_		):
             lowercase_       :List[Any]     =       gen_random_output()
        lowercase_       :List[Any]     =       gen_random_output()

        np.testing.assert_equal(UpperCamelCase_   ,							UpperCamelCase_		)
        self.assertGreater(np.abs(outa - outa		).sum()   ,							0		)




   def 		UpperCamelCase  (     self		):
        def gen_random_output():
             return np.random.rand(1   ,							3		)

        with temp_seed(42		):
             lowercase_       :List[Any]     =       gen_random_output()
        with temp_seed(42		):
             lowercase_       :Optional[Any]     =       gen_random_output()
        lowercase_       :Tuple     =       gen_random_output()

        np.testing.assert_equal(UpperCamelCase_   ,							UpperCamelCase_		)
        self.assertGreater(np.abs(outa - outa		).sum()   ,							0		)




@pytest.mark.parametrize('''input_data'''       ,		[{}]		)
def     UpperCamelCase    (      _a		)					->							List[Any]:
     '''simple docstring'''





     lowercase_       :str     =       NestedDataStructure(_a		).data
     assert output_data == input_data




@pytest.mark.parametrize(
    '''data, expected_output'''       ,		[
        ({}, []),
        ([], []),
        ('''foo''', ['''foo''']),
        (['''foo''', '''bar'''], ['''foo''', '''bar''']),
        ([['''foo''', '''bar''']], ['''foo''', '''bar''']),
        ([[['''foo'''], ['''bar''']]], ['''foo''', '''bar''']),
        ([[['''foo'''], '''bar''']], ['''foo''', '''bar''']),
        ({'''a''': 1, '''b''': 2}, [1, 2]),
        ({'''a''': [1, 2], '''b''': [3, 4]}, [1, 2, 3, 4]),
        ({'''a''': [[1, 2]], '''b''': [[3, 4]]}, [1, 2, 3, 4]),
        ({'''a''': [[1, 2]], '''b''': [3, 4]}, [1, 2, 3, 4]),
        ({'''a''': [[[1], [2]]], '''b''': [[[3], [4]]]}, [1, 2, 3, 4]),
        ({'''a''': [[[1], [2]]], '''b''': [[3, 4]]}, [1, 2, 3, 4]),
        ({'''a''': [[[1], [2]]], '''b''': [3, 4]}, [1, 2, 3, 4]),
        ({'''a''': [[[1], [2]]], '''b''': [3, [4]]}, [1, 2, 3, 4]),
        ({'''a''': {'''1''': 1}, '''b''': 2}, [1, 2]),
        ({'''a''': {'''1''': [1]}, '''b''': 2}, [1, 2]),
        ({'''a''': {'''1''': [1]}, '''b''': [2]}, [1, 2]),
    ]       ,		)
def     UpperCamelCase    (      _a       ,		_a		)					->							Dict:
     '''simple docstring'''





     lowercase_       :str     =       NestedDataStructure(_a		).flatten()
     assert output == expected_output




def     UpperCamelCase    (      )					->							Dict:
     '''simple docstring'''





     lowercase_       :str     =       A(x=1       ,		y='''foobar'''		)
     lowercase_       :int     =       {'''x''': 1, '''y''': '''foobar'''}
     assert asdict(_a		) == expected_output

     lowercase_       :str     =       {'''a''': {'''b''': A(x=1_0       ,		y='''foo'''		)}, '''c''': [A(x=2_0       ,		y='''bar'''		)]}
     lowercase_       :Union[str, Any]     =       {'''a''': {'''b''': {'''x''': 1_0, '''y''': '''foo'''}}, '''c''': [{'''x''': 2_0, '''y''': '''bar'''}]}
     assert asdict(_a		) == expected_output

     with pytest.raises(_a		):
          asdict([1, A(x=1_0       ,		y='''foo'''		)]		)




def     UpperCamelCase    (      _a		)					->							str:
     '''simple docstring'''





     return text.split()




def     UpperCamelCase    (      _a		)					->							List[str]:
     '''simple docstring'''





     yield (time.time(), content)
     time.sleep(2		)
     yield (time.time(), content)




def     UpperCamelCase    (      )					->							Optional[Any]:
     '''simple docstring'''





     with Pool(2		) as pool:
          lowercase_       :Dict     =       list(iflatmap_unordered(_a       ,		_split_text       ,		kwargs_iterable=[{'''text''': '''hello there'''}] * 1_0		)		)
          assert out.count('''hello'''		) == 1_0
          assert out.count('''there'''		) == 1_0
          assert len(_a		) == 2_0

     # check multiprocess from pathos (uses dill for pickling)
     with multiprocess.Pool(2		) as pool:
          lowercase_       :Optional[int]     =       list(iflatmap_unordered(_a       ,		_split_text       ,		kwargs_iterable=[{'''text''': '''hello there'''}] * 1_0		)		)
          assert out.count('''hello'''		) == 1_0
          assert out.count('''there'''		) == 1_0
          assert len(_a		) == 2_0

     # check that we get items as fast as possible
     with Pool(2		) as pool:
          lowercase_       :str     =       []
          for yield_time, content in iflatmap_unordered(
              _a       ,		_aseconds_generator_of_aitems_with_timing       ,		kwargs_iterable=[{'''content''': '''a'''}, {'''content''': '''b'''}]		):
               assert yield_time < time.time() + 0.1, "we should each item directly after it was yielded"
               out.append(_a		)
          assert out.count('''a'''		) == 2
          assert out.count('''b'''		) == 2
          assert len(_a		) == 4





from __future__ import annotations




def     UpperCamelCase    (      _a       ,		_a = None       ,		_a = None		)					->							None:
     '''simple docstring'''





     if start is None:
          lowercase_       :str     =       0

     if end is None:
          lowercase_       :str     =       len(_a		) - 1

     if start >= end:
          return

     lowercase_       :Dict     =       (start + end) // 2

     slowsort(_a       ,		_a       ,		_a		)
     slowsort(_a       ,		mid + 1       ,		_a		)

     if sequence[end] < sequence[mid]:
          lowercase_    ,      lowercase_       :List[Any]     =       sequence[mid], sequence[end]

     slowsort(_a       ,		_a       ,		end - 1		)


if __name__ == "__main__":
   from doctest import testmod

   testmod()

