





import time
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device

from ..test_modeling_common import ids_tensor


if is_torch_available():
		import torch

		from transformers.generation import (
		    MaxLengthCriteria,
		    MaxNewTokensCriteria,
		    MaxTimeCriteria,
		    StoppingCriteriaList,
		    validate_stopping_criteria,
		)


@require_torch
class 			lowercase				(							unittest.TestCase     ):



						"""simple docstring"""

						def 		__UpperCAmelCase       (    self			:		int ,				lowerCamelCase_			:		Any					):





										'''simple docstring'''







										_snake_case :			List[str]  						=   3
										_snake_case :			int  						=   2_50

										_snake_case :			Union[str, Any]  						=   ids_tensor((batch_size, length) ,				lowerCamelCase_					)
										_snake_case :			Any  						=   torch.ones((batch_size, length) ,				device=lowerCamelCase_ ,				dtype=torch.float					) / length
										return input_ids, scores







						def 		__UpperCAmelCase       (    self			:		Dict					):





										'''simple docstring'''







										_snake_case						,			_snake_case :			Tuple  						=   self._get_tensors(5					)

										_snake_case :			Dict  						=   StoppingCriteriaList(
										    [
										        MaxLengthCriteria(max_length=10					),
										        MaxTimeCriteria(max_time=0.1					),
										    ]					)

										self.assertFalse(criteria(lowerCamelCase_ ,				lowerCamelCase_					)					)

										_snake_case						,			_snake_case :			Optional[int]  						=   self._get_tensors(9					)
										self.assertFalse(criteria(lowerCamelCase_ ,				lowerCamelCase_					)					)

										_snake_case						,			_snake_case :			str  						=   self._get_tensors(10					)
										self.assertTrue(criteria(lowerCamelCase_ ,				lowerCamelCase_					)					)







						def 		__UpperCAmelCase       (    self			:		Union[str, Any]					):





										'''simple docstring'''







										_snake_case :			List[Any]  						=   MaxLengthCriteria(max_length=10					)

										_snake_case						,			_snake_case :			int  						=   self._get_tensors(5					)
										self.assertFalse(criteria(lowerCamelCase_ ,				lowerCamelCase_					)					)

										_snake_case						,			_snake_case :			Union[str, Any]  						=   self._get_tensors(9					)
										self.assertFalse(criteria(lowerCamelCase_ ,				lowerCamelCase_					)					)

										_snake_case						,			_snake_case :			Dict  						=   self._get_tensors(10					)
										self.assertTrue(criteria(lowerCamelCase_ ,				lowerCamelCase_					)					)







						def 		__UpperCAmelCase       (    self			:		int					):





										'''simple docstring'''







										_snake_case :			Union[str, Any]  						=   MaxNewTokensCriteria(start_length=5 ,				max_new_tokens=5					)

										_snake_case						,			_snake_case :			List[Any]  						=   self._get_tensors(5					)
										self.assertFalse(criteria(lowerCamelCase_ ,				lowerCamelCase_					)					)

										_snake_case						,			_snake_case :			Any  						=   self._get_tensors(9					)
										self.assertFalse(criteria(lowerCamelCase_ ,				lowerCamelCase_					)					)

										_snake_case						,			_snake_case :			str  						=   self._get_tensors(10					)
										self.assertTrue(criteria(lowerCamelCase_ ,				lowerCamelCase_					)					)

										_snake_case :			List[str]  						=   StoppingCriteriaList([criteria]					)
										self.assertEqual(criteria_list.max_length ,				10					)







						def 		__UpperCAmelCase       (    self			:		Dict					):





										'''simple docstring'''







										_snake_case						,			_snake_case :			str  						=   self._get_tensors(5					)

										_snake_case :			List[str]  						=   MaxTimeCriteria(max_time=0.1					)
										self.assertFalse(criteria(lowerCamelCase_ ,				lowerCamelCase_					)					)

										_snake_case :			Optional[int]  						=   MaxTimeCriteria(max_time=0.1 ,				initial_timestamp=time.time() - 0.2					)
										self.assertTrue(criteria(lowerCamelCase_ ,				lowerCamelCase_					)					)







						def 		__UpperCAmelCase       (    self			:		Dict					):





										'''simple docstring'''







										validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10					)]					) ,				10					)

										with self.assertWarns(lowerCamelCase_					):
														validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10					)]					) ,				11					)

										_snake_case :			List[str]  						=   validate_stopping_criteria(StoppingCriteriaList() ,				11					)

										self.assertEqual(len(lowerCamelCase_					) ,				1					)













import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


lowercase_		:				Optional[Any]				=						pytest.mark.integration

@pytest.mark.parametrize('path'	,			['paws', 'csv'] )
def       A__(		__lowerCAmelCase	,			__lowerCAmelCase ):
				inspect_dataset(__lowerCAmelCase	,			__lowerCAmelCase )
				_snake_case :			str  						=   path + '.py'
				assert script_name in os.listdir(__lowerCAmelCase )
				assert "__pycache__" not in os.listdir(__lowerCAmelCase )

@pytest.mark.filterwarnings('ignore:inspect_metric is deprecated:FutureWarning' )
@pytest.mark.filterwarnings('ignore:metric_module_factory is deprecated:FutureWarning' )
@pytest.mark.parametrize('path'	,			['accuracy'] )
def       A__(		__lowerCAmelCase	,			__lowerCAmelCase ):
				inspect_metric(__lowerCAmelCase	,			__lowerCAmelCase )
				_snake_case :			Tuple  						=   path + '.py'
				assert script_name in os.listdir(__lowerCAmelCase )
				assert "__pycache__" not in os.listdir(__lowerCAmelCase )

@pytest.mark.parametrize(
    'path, config_name, expected_splits'	,			[
        ('squad', 'plain_text', ['train', 'validation']),
        ('dalle-mini/wit', 'dalle-mini--wit', ['train']),
        ('paws', 'labeled_final', ['train', 'test', 'validation']),
    ]	,			)
def       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):
				_snake_case :			Union[str, Any]  						=   get_dataset_config_info(__lowerCAmelCase	,			config_name=__lowerCAmelCase )
				assert info.config_name == config_name
				assert list(info.splits.keys() ) == expected_splits

@pytest.mark.parametrize(
    'path, config_name, expected_exception'	,			[
        ('paws', None, ValueError),
    ]	,			)
def       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):
				with pytest.raises(__lowerCAmelCase ):
								get_dataset_config_info(__lowerCAmelCase	,			config_name=__lowerCAmelCase )

@pytest.mark.parametrize(
    'path, expected'	,			[
        ('squad', 'plain_text'),
        ('acronym_identification', 'default'),
        ('lhoestq/squad', 'plain_text'),
        ('lhoestq/test', 'default'),
        ('lhoestq/demo1', 'lhoestq--demo1'),
        ('dalle-mini/wit', 'dalle-mini--wit'),
    ]	,			)
def       A__(		__lowerCAmelCase	,			__lowerCAmelCase ):
				_snake_case :			Optional[Any]  						=   get_dataset_config_names(__lowerCAmelCase )
				assert expected in config_names

@pytest.mark.parametrize(
    'path, expected_configs, expected_splits_in_first_config'	,			[
        ('squad', ['plain_text'], ['train', 'validation']),
        ('dalle-mini/wit', ['dalle-mini--wit'], ['train']),
        ('paws', ['labeled_final', 'labeled_swap', 'unlabeled_final'], ['train', 'test', 'validation']),
    ]	,			)
def       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):
				_snake_case :			List[Any]  						=   get_dataset_infos(__lowerCAmelCase )
				assert list(infos.keys() ) == expected_configs
				_snake_case :			Any  						=   expected_configs[0]
				assert expected_config in infos
				_snake_case :			str  						=   infos[expected_config]
				assert info.config_name == expected_config
				assert list(info.splits.keys() ) == expected_splits_in_first_config

@pytest.mark.parametrize(
    'path, expected_config, expected_splits'	,			[
        ('squad', 'plain_text', ['train', 'validation']),
        ('dalle-mini/wit', 'dalle-mini--wit', ['train']),
        ('paws', 'labeled_final', ['train', 'test', 'validation']),
    ]	,			)
def       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):
				_snake_case :			Any  						=   get_dataset_infos(__lowerCAmelCase )
				assert expected_config in infos
				_snake_case :			Any  						=   infos[expected_config]
				assert info.config_name == expected_config
				assert list(info.splits.keys() ) == expected_splits

@pytest.mark.parametrize(
    'path, config_name, expected_exception'	,			[
        ('paws', None, ValueError),
    ]	,			)
def       A__(		__lowerCAmelCase	,			__lowerCAmelCase	,			__lowerCAmelCase ):
				with pytest.raises(__lowerCAmelCase ):
								get_dataset_split_names(__lowerCAmelCase	,			config_name=__lowerCAmelCase )






