



'''simple docstring'''

import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


snake_case_			=     get_tests_dir("""fixtures/test_sentencepiece.model""")


@require_sentencepiece
@require_tokenizers
class 	a__     (				_lowercase,			unittest.TestCase	):
	__magic_name__		:    Optional[Any]	    =     XGLMTokenizer
	__magic_name__		:    List[Any]	    =     XGLMTokenizerFast
	__magic_name__		:    Union[str, Any]	    =     True
	__magic_name__		:    List[str]	    =     True


	def 				lowercase__  (self : Optional[int]      )     ->			List[str]:

					"""simple docstring"""

					super().setUp()

					# We have a SentencePiece fixture for testing
					SCREAMING_SNAKE_CASE  :						int      					= XGLMTokenizer(__UpperCAmelCase,					keep_accents=__UpperCAmelCase      )
					tokenizer.save_pretrained(self.tmpdirname      )


	def 				lowercase__  (self : Tuple      )     ->			Dict:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						str      					= '''<pad>'''
					SCREAMING_SNAKE_CASE  :						Tuple      					= 1

					self.assertEqual(self.get_tokenizer()._convert_token_to_id(__UpperCAmelCase      ),					__UpperCAmelCase      )
					self.assertEqual(self.get_tokenizer()._convert_id_to_token(__UpperCAmelCase      ),					__UpperCAmelCase      )


	def 				lowercase__  (self : Optional[int]      )     ->			Any:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						Optional[int]      					= list(self.get_tokenizer().get_vocab().keys()      )

					self.assertEqual(vocab_keys[0],					'''<s>'''      )
					self.assertEqual(vocab_keys[1],					'''<pad>'''      )
					self.assertEqual(len(__UpperCAmelCase      ),					1008      )


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

					"""simple docstring"""

					self.assertEqual(self.get_tokenizer().vocab_size,					1008      )


	def 				lowercase__  (self : Optional[Any]      )     ->			Optional[Any]:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						Optional[int]      					= XGLMTokenizer(__UpperCAmelCase,					keep_accents=__UpperCAmelCase      )

					SCREAMING_SNAKE_CASE  :						Optional[int]      					= tokenizer.tokenize('''This is a test'''      )
					self.assertListEqual(__UpperCAmelCase,					['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']      )

					self.assertListEqual(
					    tokenizer.convert_tokens_to_ids(__UpperCAmelCase      ),					[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]],					)

					SCREAMING_SNAKE_CASE  :						Optional[Any]      					= tokenizer.tokenize('''I was born in 92000, and this is falsé.'''      )
					self.assertListEqual(
					    __UpperCAmelCase,					[
					        SPIECE_UNDERLINE + '''I''',
					        SPIECE_UNDERLINE + '''was''',
					        SPIECE_UNDERLINE + '''b''',
					        '''or''',
					        '''n''',
					        SPIECE_UNDERLINE + '''in''',
					        SPIECE_UNDERLINE + '''''',
					        '''9''',
					        '''2''',
					        '''0''',
					        '''0''',
					        '''0''',
					        ''',''',
					        SPIECE_UNDERLINE + '''and''',
					        SPIECE_UNDERLINE + '''this''',
					        SPIECE_UNDERLINE + '''is''',
					        SPIECE_UNDERLINE + '''f''',
					        '''al''',
					        '''s''',
					        '''é''',
					        '''.''',
					    ],					)
					SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= tokenizer.convert_tokens_to_ids(__UpperCAmelCase      )
					self.assertListEqual(
					    __UpperCAmelCase,					[
					        value + tokenizer.fairseq_offset
					        for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
					    ],					)

					SCREAMING_SNAKE_CASE  :						List[Any]      					= tokenizer.convert_ids_to_tokens(__UpperCAmelCase      )
					self.assertListEqual(
					    __UpperCAmelCase,					[
					        SPIECE_UNDERLINE + '''I''',
					        SPIECE_UNDERLINE + '''was''',
					        SPIECE_UNDERLINE + '''b''',
					        '''or''',
					        '''n''',
					        SPIECE_UNDERLINE + '''in''',
					        SPIECE_UNDERLINE + '''''',
					        '''<unk>''',
					        '''2''',
					        '''0''',
					        '''0''',
					        '''0''',
					        ''',''',
					        SPIECE_UNDERLINE + '''and''',
					        SPIECE_UNDERLINE + '''this''',
					        SPIECE_UNDERLINE + '''is''',
					        SPIECE_UNDERLINE + '''f''',
					        '''al''',
					        '''s''',
					        '''<unk>''',
					        '''.''',
					    ],					)


	@cached_property
	def 				lowercase__  (self : Tuple      )     ->			Any:

					"""simple docstring"""

					return XGLMTokenizer.from_pretrained('''facebook/xglm-564M'''      )


	def 				lowercase__  (self : Dict      )     ->			Optional[int]:

					"""simple docstring"""

					with tempfile.NamedTemporaryFile() as f:
									shutil.copyfile(__UpperCAmelCase,					f.name      )
									SCREAMING_SNAKE_CASE  :						List[Any]      					= XGLMTokenizer(f.name,					keep_accents=__UpperCAmelCase      )
									SCREAMING_SNAKE_CASE  :						str      					= pickle.dumps(__UpperCAmelCase      )
					pickle.loads(__UpperCAmelCase      )


	def 				lowercase__  (self : Any      )     ->			Tuple:

					"""simple docstring"""

					if not self.test_rust_tokenizer:
									return

					SCREAMING_SNAKE_CASE  :						str      					= self.get_tokenizer()
					SCREAMING_SNAKE_CASE  :						Optional[Any]      					= self.get_rust_tokenizer()

					SCREAMING_SNAKE_CASE  :						List[str]      					= '''I was born in 92000, and this is falsé.'''

					SCREAMING_SNAKE_CASE  :						List[Any]      					= tokenizer.tokenize(__UpperCAmelCase      )
					SCREAMING_SNAKE_CASE  :						Any      					= rust_tokenizer.tokenize(__UpperCAmelCase      )
					self.assertListEqual(__UpperCAmelCase,					__UpperCAmelCase      )

					SCREAMING_SNAKE_CASE  :						Dict      					= tokenizer.encode(__UpperCAmelCase,					add_special_tokens=__UpperCAmelCase      )
					SCREAMING_SNAKE_CASE  :						str      					= rust_tokenizer.encode(__UpperCAmelCase,					add_special_tokens=__UpperCAmelCase      )
					self.assertListEqual(__UpperCAmelCase,					__UpperCAmelCase      )

					SCREAMING_SNAKE_CASE  :						Optional[int]      					= self.get_rust_tokenizer()
					SCREAMING_SNAKE_CASE  :						str      					= tokenizer.encode(__UpperCAmelCase      )
					SCREAMING_SNAKE_CASE  :						Any      					= rust_tokenizer.encode(__UpperCAmelCase      )
					self.assertListEqual(__UpperCAmelCase,					__UpperCAmelCase      )


	@slow
	def 				lowercase__  (self : Dict      )     ->			int:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						Optional[Any]      					= '''Hello World!'''
					SCREAMING_SNAKE_CASE  :						Dict      					= [2, 31227, 4447, 35]

					self.assertListEqual(__UpperCAmelCase,					self.big_tokenizer.encode(__UpperCAmelCase      )      )


	@slow
	def 				lowercase__  (self : Tuple      )     ->			Union[str, Any]:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						Any      					= (
					    '''This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'''
					    ''' add words that should not exsist and be tokenized to unk, such as saoneuhaoesuth'''
					)
					# fmt: off
					SCREAMING_SNAKE_CASE  :						List[Any]      					= [2, 1018, 67, 11, 1988, 2617, 5631, 278, 11, 3407, 48, 71630, 28085, 4, 3234, 157, 13, 6, 5, 6, 4, 3526, 768, 15, 659, 57, 298, 3983, 864, 129, 21, 6, 5, 13675, 377, 652, 7580, 10341, 155, 2817, 422, 1666, 7, 1674, 53, 113, 202277, 17892, 33, 60, 87, 4, 3234, 157, 61, 2667, 52376, 19, 88, 23, 735]
					# fmt: on

					self.assertListEqual(__UpperCAmelCase,					self.big_tokenizer.encode(__UpperCAmelCase      )      )






	@slow
	def 				lowercase__  (self : Any      )     ->			str:

					"""simple docstring"""

					SCREAMING_SNAKE_CASE  :						str      					= {
					    '''input_ids''': [[2, 108825, 1163, 15, 88010, 473, 15898, 157, 13672, 1857, 312, 8, 238021, 1163, 53, 13672, 1857, 312, 8, 53283, 182396, 8, 18566, 16, 36733, 4101, 8, 230, 244017, 122553, 7, 15, 132597, 4, 293, 12511, 7610, 4, 3414, 132597, 9, 4, 32361, 362, 4, 734, 28512, 32569, 18, 4, 32361, 26096, 14982, 73, 18715, 21433, 235261, 15, 492, 12427, 16, 53, 18715, 21433, 65454, 15, 23659, 563, 16, 278, 597, 2843, 595, 7931, 182396, 64186, 22, 886, 595, 132981, 53, 25540, 3449, 43982, 39901, 5951, 878, 330, 4, 27694, 80269, 312, 53, 6517, 11780, 611, 20408, 5], [2, 6, 132597, 67, 42897, 33, 592, 8, 163729, 25540, 361, 136997, 109514, 173230, 7, 501, 60, 102913, 196, 5631, 235, 63243, 473, 6, 231757, 74, 5277, 7905, 53, 3095, 37317, 22, 454, 183874, 5], [2, 268, 31298, 46530, 6, 132935, 43831, 7, 597, 32, 24, 3688, 9865, 5]],
					    '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
					}  # noqa: E501
					# fmt: on

					self.tokenizer_integration_test_util(
					    expected_encoding=__UpperCAmelCase,					model_name='''facebook/xglm-564M''',					padding=__UpperCAmelCase,					)









'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


snake_case_			=     {
    """configuration_timesformer""": ["""TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """TimesformerConfig"""],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	snake_case_			=     [
	    """TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """TimesformerModel""",
	    """TimesformerForVideoClassification""",
	    """TimesformerPreTrainedModel""",
	]

if TYPE_CHECKING:
	from .configuration_timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_timesformer import (
		    TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TimesformerForVideoClassification,
		    TimesformerModel,
		    TimesformerPreTrainedModel,
		)

else:
	import sys

	snake_case_			=     _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




