
'''simple docstring'''



import doctest
import glob
import importlib
import inspect
import os
import re
from contextlib import contextmanager
from functools import wraps
from unittest.mock import patch

import numpy as np
import pytest
from absl.testing import parameterized

import datasets
from datasets import load_metric

from .utils import for_all_test_methods, local, slow


# mark all tests as integration
lowerCamelCase	 =       pytest.mark.integration


lowerCamelCase	 =       {'comet'}
lowerCamelCase	 =       importlib.util.find_spec("""fairseq""") is not None

lowerCamelCase	 =       {'code_eval'}
lowerCamelCase	 =       os.name == 'nt'

lowerCamelCase	 =       {'bertscore', 'frugalscore', 'perplexity'}
lowerCamelCase	 =       importlib.util.find_spec("""transformers""") is not None



def   _A       (   _lowerCAmelCase					):



							"""simple docstring"""



							@wraps(_lowercase					)
							def wrapper(self  ,   _lowerCAmelCase					):
														if not _has_fairseq and metric_name in REQUIRE_FAIRSEQ:
																					self.skipTest('"test requires Fairseq"'					)
														else:
																					test_case(self  ,   _lowercase					)

							return wrapper



def   _A       (   _lowerCAmelCase					):



							"""simple docstring"""



							@wraps(_lowercase					)
							def wrapper(self  ,   _lowerCAmelCase					):
														if not _has_transformers and metric_name in REQUIRE_TRANSFORMERS:
																					self.skipTest('"test requires transformers"'					)
														else:
																					test_case(self  ,   _lowercase					)

							return wrapper



def   _A       (   _lowerCAmelCase					):



							"""simple docstring"""



							@wraps(_lowercase					)
							def wrapper(self  ,   _lowerCAmelCase					):
														if _on_windows and metric_name in UNSUPPORTED_ON_WINDOWS:
																					self.skipTest('"test not supported on Windows"'					)
														else:
																					test_case(self  ,   _lowercase					)

							return wrapper



def   _A       (   ):



							"""simple docstring"""



							__lowercase       	=[metric_dir.split(os.sep					)[-2] for metric_dir in glob.glob('./metrics/*/'					)]
							return [{"testcase_name": x, "metric_name": x} for x in metrics if x != "gleu"]  # gleu is unfinished





@parameterized.named_parameters(get_local_metric_names()		)
@for_all_test_methods(
    UpperCamelCase_      ,       UpperCamelCase_      ,       UpperCamelCase_		)
@local
class _UpperCamelCase		(     parameterized.TestCase		):





				'''simple docstring'''





				lowerCAmelCase__					    =    {}
				lowerCAmelCase__					    =    None

				@pytest.mark.filterwarnings('ignore:metric_module_factory is deprecated:FutureWarning')
				@pytest.mark.filterwarnings('ignore:load_metric is deprecated:FutureWarning')
				def 				__lowerCamelCase     (							self  :  Dict  ,       _lowerCAmelCase  :  int):







											'''simple docstring'''

											__lowercase       	='''[...]'''
											__lowercase       	=importlib.import_module(
											    datasets.load.metric_module_factory(os.path.join('metrics'  ,       UpperCamelCase__)).module_path)
											__lowercase       	=datasets.load.import_main_class(metric_module.__name__  ,       dataset=UpperCamelCase__)
											# check parameters
											__lowercase       	=inspect.signature(metric._compute).parameters
											self.assertTrue(all(p.kind != p.VAR_KEYWORD for p in parameters.values()))  # no **kwargs
											# run doctest
											with self.patch_intensive_calls(UpperCamelCase__  ,       metric_module.__name__):
																		with self.use_local_metrics():
																									try:
																																__lowercase       	=doctest.testmod(UpperCamelCase__  ,       verbose=UpperCamelCase__  ,       raise_on_error=UpperCamelCase__)
																									except doctest.UnexpectedException as e:
																																raise e.exc_info[1]  # raise the exception that doctest caught
											self.assertEqual(results.failed  ,       0)
											self.assertGreater(results.attempted  ,       1)

				@slow
				def 				__lowerCamelCase     (							self  :  Optional[Any]  ,       _lowerCAmelCase  :  Dict):







											'''simple docstring'''

											__lowercase       	='''[...]'''
											__lowercase       	=importlib.import_module(
											    datasets.load.metric_module_factory(os.path.join('metrics'  ,       UpperCamelCase__)).module_path)
											# run doctest
											with self.use_local_metrics():
																		__lowercase       	=doctest.testmod(UpperCamelCase__  ,       verbose=UpperCamelCase__  ,       raise_on_error=UpperCamelCase__)
											self.assertEqual(results.failed  ,       0)
											self.assertGreater(results.attempted  ,       1)

				@contextmanager
				def 				__lowerCamelCase     (							self  :  int  ,       _lowerCAmelCase  :  Any  ,       _lowerCAmelCase  :  List[str]):







											'''simple docstring'''

											if metric_name in self.INTENSIVE_CALLS_PATCHER:
																		with self.INTENSIVE_CALLS_PATCHER[metric_name](UpperCamelCase__):
																									yield
											else:
																		yield

				@contextmanager
				def 				__lowerCamelCase     (							self  :  Optional[Any]):







											'''simple docstring'''

											def load_local_metric(_lowerCAmelCase  :  List[Any]  ,       *_lowerCAmelCase  :  str  ,       **_lowerCAmelCase  :  Any):
																		return load_metric(os.path.join('metrics'  ,       UpperCamelCase__)  ,       *UpperCamelCase__  ,       **UpperCamelCase__)

											with patch('datasets.load_metric') as mock_load_metric:
																		__lowercase       	=load_local_metric
																		yield

				@classmethod
				def 				__lowerCamelCase     (							cls  :  str  ,       _lowerCAmelCase  :  Dict):







											'''simple docstring'''

											def wrapper(_lowerCAmelCase  :  Dict):
																		__lowercase       	=contextmanager(UpperCamelCase__)
																		__lowercase       	=patcher
																		return patcher

											return wrapper



@LocalMetricTest.register_intensive_calls_patcher('bleurt'					)
def   _A       (   _lowerCAmelCase					):



							"""simple docstring"""



							import tensorflow.compat.va as tf
							from bleurt.score import Predictor

							tf.flags.DEFINE_string('sv'  ,   ''  ,   ''					)  # handle pytest cli flags





							class _UpperCamelCase		(     UpperCamelCase_		):





											'''simple docstring'''





											def 				__lowerCamelCase     (							self  :  Optional[int]  ,       _lowerCAmelCase  :  str):







																		'''simple docstring'''

																		assert len(input_dict['input_ids']) == 2
																		return np.array([1.03, 1.04])

    # mock predict_fn which is supposed to do a forward pass with a bleurt model
							with patch('bleurt.score._create_predictor'					) as mock_create_predictor:
														__lowercase       	=MockedPredictor()
														yield



@LocalMetricTest.register_intensive_calls_patcher('bertscore'					)
def   _A       (   _lowerCAmelCase					):



							"""simple docstring"""



							import torch

							def bert_cos_score_idf(_lowerCAmelCase  ,   _lowerCAmelCase  ,   *_lowerCAmelCase  ,   **_lowerCAmelCase					):
														return torch.tensor([[1.0, 1.0, 1.0]] * len(_lowercase					)					)

							# mock get_model which is supposed to do download a bert model
							# mock bert_cos_score_idf which is supposed to do a forward pass with a bert model
							with patch('bert_score.scorer.get_model'					), patch(
							    'bert_score.scorer.bert_cos_score_idf'					) as mock_bert_cos_score_idf:
														__lowercase       	=bert_cos_score_idf
														yield



@LocalMetricTest.register_intensive_calls_patcher('comet'					)
def   _A       (   _lowerCAmelCase					):



							"""simple docstring"""



							def load_from_checkpoint(_lowerCAmelCase					):





														class _UpperCamelCase		:





																		'''simple docstring'''





																		def 				__lowerCamelCase     (							self  :  Any  ,       _lowerCAmelCase  :  Optional[int]  ,       *_lowerCAmelCase  :  List[str]  ,       **_lowerCAmelCase  :  int):







																									'''simple docstring'''

																									assert len(UpperCamelCase__) == 2
																									__lowercase       	=[0.19, 0.92]
																									return scores, sum(UpperCamelCase__) / len(UpperCamelCase__)

														return Model()

							# mock load_from_checkpoint which is supposed to do download a bert model
							# mock load_from_checkpoint which is supposed to do download a bert model
							with patch('comet.download_model'					) as mock_download_model:
														__lowercase       	=None
														with patch('comet.load_from_checkpoint'					) as mock_load_from_checkpoint:
																					__lowercase       	=load_from_checkpoint
																					yield



def   _A       (   ):



							"""simple docstring"""



							__lowercase       	=load_metric(os.path.join('metrics'  ,   'seqeval'					)					)
							__lowercase       	='''ERROR'''
							__lowercase       	=f"""Scheme should be one of [IOB1, IOB2, IOE1, IOE2, IOBES, BILOU], got {wrong_scheme}"""
							with pytest.raises(_lowercase  ,   match=re.escape(_lowercase					)					):
														metric.compute(predictions=[]  ,   references=[]  ,   scheme=_lowercase					)








'''simple docstring'''



def   _A       (   _lowerCAmelCase  ,   _lowerCAmelCase  ,   _lowerCAmelCase					):



							"""simple docstring"""



							if len(_lowerCAmelCase					) != len(_lowerCAmelCase					):
														raise ValueError('The length of profit and weight must be same.'					)
							if max_weight <= 0:
														raise ValueError('max_weight must greater than zero.'					)
							if any(p < 0 for p in profit					):
														raise ValueError('Profit can not be negative.'					)
							if any(w < 0 for w in weight					):
														raise ValueError('Weight can not be negative.'					)

							# List created to store profit gained for the 1kg in case of each weight
							# respectively.  Calculate and append profit/weight for each element.
							__lowercase       	=[p / w for p, w in zip(_lowerCAmelCase  ,   _lowerCAmelCase					)]

							# Creating a copy of the list and sorting profit/weight in ascending order
							__lowercase       	=sorted(_lowerCAmelCase					)

							# declaring useful variables
							__lowercase       	=len(_lowerCAmelCase					)
							__lowercase       	=0
							__lowercase       	=0
							__lowercase       	=0

							# loop till the total weight do not reach max limit e.g. 15 kg and till i<length
							while limit <= max_weight and i < length:
														# flag value for encountered greatest element in sorted_profit_by_weight
														__lowercase       	=sorted_profit_by_weight[length - i - 1]
														__lowercase       	=profit_by_weight.index(_lowerCAmelCase					)
														__lowercase       	=-1

														# check if the weight encountered is less than the total weight
														# encountered before.
														if max_weight - limit >= weight[index]:
																					limit += weight[index]
																					# Adding profit gained for the given weight 1 ===
																					# weight[index]/weight[index]
																					gain += 1 * profit[index]
														else:
																					# Since the weight encountered is greater than limit, therefore take the
																					# required number of remaining kgs and calculate profit for it.
																					# weight remaining / weight[index]
																					gain += (max_weight - limit) / weight[index] * profit[index]
																					break
														i += 1
							return gain


if __name__ == "__main__":
		print(
		    """Input profits, weights, and then max_weight (all positive ints) separated by """
		    """spaces."""
		)

		lowerCamelCase	 =       [int(x) for x in input("""Input profits separated by spaces: """).split()]
		lowerCamelCase	 =       [int(x) for x in input("""Input weights separated by spaces: """).split()]
		lowerCamelCase	 =       int(input("""Max weight allowed: """))

		# Function Call
		calc_profit(profit, weight, max_weight)



