




"""simple docstring"""




import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class    UpperCAmelCase_  (       __snake_case					, unittest.TestCase						):
		UpperCamelCase						 =None
		UpperCamelCase						 =BloomTokenizerFast
		UpperCamelCase						 =BloomTokenizerFast
		UpperCamelCase						 =True
		UpperCamelCase						 =False
		UpperCamelCase						 ="""tokenizer_file"""
		UpperCamelCase						 ={"""bos_token""": """<s>""", """eos_token""": """</s>""", """unk_token""": """<unk>""", """pad_token""": """<pad>"""}
		def      _lowerCamelCase				(		self    )		->    Dict:
					super().setUp()
					__lowercase       :   Optional[Any]        =    BloomTokenizerFast.from_pretrained('''bigscience/tokenizer'''    )
					tokenizer.save_pretrained(self.tmpdirname    )
		def      _lowerCamelCase				(		self							,		**UpperCamelCase_    )		->    Optional[Any]:
					kwargs.update(self.special_tokens_map    )
					return BloomTokenizerFast.from_pretrained(self.tmpdirname							,		**UpperCamelCase__    )
		def      _lowerCamelCase				(		self    )		->    Union[str, Any]:
					__lowercase       :   str        =    self.get_rust_tokenizer()

					__lowercase       :   int        =    ["The quick brown fox</s>", "jumps over the lazy dog</s>"]
					__lowercase       :   List[str]        =    [[21_75, 2_37_14, 7_31_73, 14_42_52, 2], [77, 13_26_19, 34_78, 3_68, 10_95_86, 3_54_33, 2]]

					__lowercase       :   List[str]        =    tokenizer.batch_encode_plus(UpperCamelCase__    )["input_ids"]
					self.assertListEqual(UpperCamelCase__							,		UpperCamelCase__    )

					__lowercase       :   List[Any]        =    tokenizer.batch_decode(UpperCamelCase__    )
					self.assertListEqual(UpperCamelCase__							,		UpperCamelCase__    )
		def      _lowerCamelCase				(		self							,		UpperCamelCase_=6    )		->    Tuple:


					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
								with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""    ):
											__lowercase       :   Optional[Any]        =    self.rust_tokenizer_class.from_pretrained(UpperCamelCase__							,		**UpperCamelCase__    )
											# tokenizer_r.pad_token = None # Hotfixing padding = None
											# Simple input
											__lowercase       :   Dict        =    "This is a simple input"
											__lowercase       :   str        =    ["This is a simple input 1", "This is a simple input 2"]
											__lowercase       :   int        =    ("This is a simple input", "This is a pair")
											__lowercase       :   Union[str, Any]        =    [
											    ("This is a simple input 1", "This is a simple input 2"),
											    ("This is a simple pair 1", "This is a simple pair 2"),
											]

											# Simple input tests
											try:
														tokenizer_r.encode(UpperCamelCase__							,		max_length=UpperCamelCase__    )
														tokenizer_r.encode_plus(UpperCamelCase__							,		max_length=UpperCamelCase__    )

														tokenizer_r.batch_encode_plus(UpperCamelCase__							,		max_length=UpperCamelCase__    )
														tokenizer_r.encode(UpperCamelCase__							,		max_length=UpperCamelCase__    )
														tokenizer_r.batch_encode_plus(UpperCamelCase__							,		max_length=UpperCamelCase__    )
											except ValueError:
														self.fail('''Bloom Tokenizer should be able to deal with padding'''    )

											__lowercase       :   Tuple        =    None  # Hotfixing padding = None
											self.assertRaises(UpperCamelCase__							,		tokenizer_r.encode							,		UpperCamelCase__							,		max_length=UpperCamelCase__							,		padding='''max_length'''    )

											# Simple input
											self.assertRaises(UpperCamelCase__							,		tokenizer_r.encode_plus							,		UpperCamelCase__							,		max_length=UpperCamelCase__							,		padding='''max_length'''    )

											# Simple input
											self.assertRaises(
											    UpperCamelCase__							,		tokenizer_r.batch_encode_plus							,		UpperCamelCase__							,		max_length=UpperCamelCase__							,		padding='''max_length'''							,		)

											# Pair input
											self.assertRaises(UpperCamelCase__							,		tokenizer_r.encode							,		UpperCamelCase__							,		max_length=UpperCamelCase__							,		padding='''max_length'''    )

											# Pair input
											self.assertRaises(UpperCamelCase__							,		tokenizer_r.encode_plus							,		UpperCamelCase__							,		max_length=UpperCamelCase__							,		padding='''max_length'''    )

											# Pair input
											self.assertRaises(
											    UpperCamelCase__							,		tokenizer_r.batch_encode_plus							,		UpperCamelCase__							,		max_length=UpperCamelCase__							,		padding='''max_length'''							,		)
		def      _lowerCamelCase				(		self    )		->    List[str]:
					__lowercase       :   Dict        =    self.get_rust_tokenizer()
					__lowercase       :   List[str]        =    load_dataset('''xnli'''							,		'''all_languages'''							,		split='''test'''							,		streaming=UpperCamelCase__    )

					__lowercase       :   Union[str, Any]        =    next(iter(UpperCamelCase__    )    )["premise"]  # pick up one data
					__lowercase       :   Any        =    list(sample_data.values()    )

					__lowercase       :   int        =    list(map(tokenizer.encode							,		UpperCamelCase__    )    )
					__lowercase       :   str        =    [tokenizer.decode(UpperCamelCase__							,		clean_up_tokenization_spaces=UpperCamelCase__    ) for x in output_tokens]
					self.assertListEqual(UpperCamelCase__							,		UpperCamelCase__    )
		def      _lowerCamelCase				(		self    )		->    str:
					self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map    )							,		1    )
					self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values()    )[0]    )							,		1    )






"""simple docstring"""


import pytest

from datasets import inspect_metric, list_metrics, load_metric






@pytest.fixture
def     a__    (    __SCREAMING_SNAKE_CASE )	->	Union[str, Any]:
		monkeypatch.setattr("datasets.utils.deprecation_utils._emitted_deprecation_warnings"					, set() )






@pytest.fixture
def     a__    (    __SCREAMING_SNAKE_CASE )	->	str:





		class     snake_case	:

						def __init__(	self							:				int     ,  UpperCamelCase__							:				Optional[int])->   Union[str, Any]:



								'''simple docstring'''


								__lowerCAmelCase:       str          =			metric_id





		class     snake_case	:
						SCREAMING_SNAKE_CASE_   :      List[Any]         =  [MetricMock(__snake_case  ) for metric_id in ["""accuracy""", """mse""", """precision""", """codeparrot/apps_metric"""]]

						def 							lowercase_     (	self							:				Tuple)->   Union[str, Any]:



								'''simple docstring'''


								return self._metrics


		monkeypatch.setattr("datasets.inspect.huggingface_hub"					, HfhMock() )






@pytest.mark.parametrize(
    "func, args"					, [(load_metric, ("metrics/mse",)), (list_metrics, ()), (inspect_metric, ("metrics/mse", "tmp_path"))] )
def     a__    (    __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE )	->	Optional[Any]:
		if "tmp_path" in args:
				__lowerCAmelCase:       Tuple          =			tuple(arg if arg != "tmp_path" else tmp_path for arg in args )
		with pytest.warns(__SCREAMING_SNAKE_CASE					, match="https://huggingface.co/docs/evaluate" ):
				func(*__SCREAMING_SNAKE_CASE )


