






'''simple docstring'''

import unittest

from transformers import BertGenerationTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


A:      Dict  				=				"▁"

A:      str  				=				get_tests_dir("fixtures/test_sentencepiece.model")






@require_sentencepiece
class 							__magic_name__     (	UpperCAmelCase_,						unittest.TestCase				):







	"""simple docstring"""



	SCREAMING_SNAKE_CASE_					:      Optional[Any]        =  BertGenerationTokenizer
	SCREAMING_SNAKE_CASE_					:      Dict        =  False
	SCREAMING_SNAKE_CASE_					:      List[Any]        =  True
	def        lowerCamelCase__		(							self       )						->  Optional[Any]:
							super().setUp()

							lowercase_      :   str        =			BertGenerationTokenizer(_lowercase  ,      keep_accents=_lowercase       )
							tokenizer.save_pretrained(self.tmpdirname       )
	def        lowerCamelCase__		(							self       )						->  Any:
							lowercase_      :   Dict        =			'<s>'
							lowercase_      :   Tuple        =			1

							self.assertEqual(self.get_tokenizer()._convert_token_to_id(_lowercase       )  ,      _lowercase       )
							self.assertEqual(self.get_tokenizer()._convert_id_to_token(_lowercase       )  ,      _lowercase       )
	def        lowerCamelCase__		(							self       )						->  List[str]:
							lowercase_      :   str        =			list(self.get_tokenizer().get_vocab().keys()       )

							self.assertEqual(vocab_keys[0]  ,      '<unk>'       )
							self.assertEqual(vocab_keys[1]  ,      '<s>'       )
							self.assertEqual(vocab_keys[-1]  ,      '<pad>'       )
							self.assertEqual(len(_lowercase       )  ,      1002       )
	def        lowerCamelCase__		(							self       )						->  Optional[Any]:
							self.assertEqual(self.get_tokenizer().vocab_size  ,      1000       )
	def        lowerCamelCase__		(							self       )						->  List[str]:
							lowercase_      :   Optional[Any]        =			BertGenerationTokenizer(_lowercase  ,      keep_accents=_lowercase       )

							lowercase_      :   List[str]        =			tokenizer.tokenize('This is a test'       )
							self.assertListEqual(_lowercase  ,      ['▁This', '▁is', '▁a', '▁t', 'est']       )

							self.assertListEqual(
							    tokenizer.convert_tokens_to_ids(_lowercase       )  ,      [285, 46, 10, 170, 382]  ,      )

							lowercase_      :   List[Any]        =			tokenizer.tokenize('I was born in 92000, and this is falsé.'       )
							self.assertListEqual(
							    _lowercase  ,      [
							        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',
							        '.',
							    ]  ,      )
							lowercase_      :   List[str]        =			tokenizer.convert_tokens_to_ids(_lowercase       )
							self.assertListEqual(
							    _lowercase  ,      [8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]  ,      )

							lowercase_      :   str        =			tokenizer.convert_ids_to_tokens(_lowercase       )
							self.assertListEqual(
							    _lowercase  ,      [
							        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        lowerCamelCase__		(							self       )						->  Optional[int]:
							return BertGenerationTokenizer.from_pretrained('google/bert_for_seq_generation_L-24_bbc_encoder'       )
	@slow
	def        lowerCamelCase__		(							self       )						->  Optional[int]:
							lowercase_      :   List[str]        =			'Hello World!'
							lowercase_      :   List[str]        =			[1_8536, 2260, 101]

							self.assertListEqual(_lowercase  ,      self.big_tokenizer.encode(_lowercase       )       )
	@slow
	def        lowerCamelCase__		(							self       )						->  Optional[Any]:
							lowercase_      :   Optional[int]        =			(
							    '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'
							)
							lowercase_      :   Optional[int]        =			[
							    871,
							    419,
							    358,
							    946,
							    991,
							    2521,
							    452,
							    358,
							    1357,
							    387,
							    7751,
							    3536,
							    112,
							    985,
							    456,
							    126,
							    865,
							    938,
							    5400,
							    5734,
							    458,
							    1368,
							    467,
							    786,
							    2462,
							    5246,
							    1159,
							    633,
							    865,
							    4519,
							    457,
							    582,
							    852,
							    2557,
							    427,
							    916,
							    508,
							    405,
							    3_4324,
							    497,
							    391,
							    408,
							    1_1342,
							    1244,
							    385,
							    100,
							    938,
							    985,
							    456,
							    574,
							    362,
							    1_2597,
							    3200,
							    3129,
							    1172,
							]

							self.assertListEqual(_lowercase  ,      self.big_tokenizer.encode(_lowercase       )       )
	@require_torch
	@slow
	def        lowerCamelCase__		(							self       )						->  Any:
							import torch

							from transformers import BertGenerationConfig, BertGenerationEncoder

							# Build sequence
							lowercase_      :   Any        =			list(self.big_tokenizer.get_vocab().keys()       )[:10]
							lowercase_      :   str        =			' '.join(_lowercase       )
							lowercase_      :   List[Any]        =			self.big_tokenizer.encode_plus(_lowercase  ,      return_tensors='pt'  ,      return_token_type_ids=_lowercase       )
							lowercase_      :   Optional[Any]        =			self.big_tokenizer.batch_encode_plus(
							    [sequence + ' ' + sequence]  ,      return_tensors='pt'  ,      return_token_type_ids=_lowercase       )

							lowercase_      :   Tuple        =			BertGenerationConfig()
							lowercase_      :   Union[str, Any]        =			BertGenerationEncoder(_lowercase       )

							assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

							with torch.no_grad():
													model(**_lowercase       )
													model(**_lowercase       )







	@slow
	def        lowerCamelCase__		(							self       )						->  Optional[int]:
							# fmt: off
							lowercase_      :   List[str]        =			{'input_ids': [[3_9286, 458, 3_6335, 2001, 456, 1_3073, 1_3266, 455, 113, 7746, 1741, 1_1157, 391, 1_3073, 1_3266, 455, 113, 3967, 3_5412, 113, 4936, 109, 3870, 2377, 113, 3_0084, 4_5720, 458, 134, 1_7496, 112, 503, 1_1672, 113, 118, 112, 5665, 1_3347, 3_8687, 112, 1496, 3_1389, 112, 3268, 4_7264, 134, 962, 112, 1_6377, 8035, 2_3130, 430, 1_2169, 1_5518, 2_8592, 458, 146, 4_1697, 109, 391, 1_2169, 1_5518, 1_6689, 458, 146, 4_1358, 109, 452, 726, 4034, 111, 763, 3_5412, 5082, 388, 1903, 111, 9051, 391, 2870, 4_8918, 1900, 1123, 550, 998, 112, 9586, 1_5985, 455, 391, 410, 2_2955, 3_7636, 114], [448, 1_7496, 419, 3663, 385, 763, 113, 2_7533, 2870, 3283, 1_3043, 1639, 2_4713, 523, 656, 2_4013, 1_8550, 2521, 517, 2_7014, 2_1244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 1_1786, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [484, 2169, 7687, 2_1932, 1_8146, 726, 363, 1_7032, 3391, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
							# fmt: on

							self.tokenizer_integration_test_util(
							    expected_encoding=_lowercase  ,      model_name='google/bert_for_seq_generation_L-24_bbc_encoder'  ,      revision='c817d1fd1be2ffa69431227a1fe320544943d4db'  ,      )








'''simple docstring'''

import unittest

from diffusers.pipelines.pipeline_utils import is_safetensors_compatible






class 							__magic_name__     (	unittest.TestCase				):







	"""simple docstring"""



	def        lowerCamelCase__		(							self       )						->  Optional[Any]:
							lowercase_      :   Tuple        =			[
							    'safety_checker/pytorch_model.bin',
							    'safety_checker/model.safetensors',
							    'vae/diffusion_pytorch_model.bin',
							    'vae/diffusion_pytorch_model.safetensors',
							    'text_encoder/pytorch_model.bin',
							    'text_encoder/model.safetensors',
							    'unet/diffusion_pytorch_model.bin',
							    'unet/diffusion_pytorch_model.safetensors',
							]
							self.assertTrue(is_safetensors_compatible(_lowercase       )       )
	def        lowerCamelCase__		(							self       )						->  Dict:
							lowercase_      :   Tuple        =			[
							    'unet/diffusion_pytorch_model.bin',
							    'unet/diffusion_pytorch_model.safetensors',
							]
							self.assertTrue(is_safetensors_compatible(_lowercase       )       )
	def        lowerCamelCase__		(							self       )						->  str:
							lowercase_      :   int        =			[
							    'safety_checker/pytorch_model.bin',
							    'safety_checker/model.safetensors',
							    'vae/diffusion_pytorch_model.bin',
							    'vae/diffusion_pytorch_model.safetensors',
							    'text_encoder/pytorch_model.bin',
							    'text_encoder/model.safetensors',
							    'unet/diffusion_pytorch_model.bin',
							    # Removed: 'unet/diffusion_pytorch_model.safetensors',
							]
							self.assertFalse(is_safetensors_compatible(_lowercase       )       )
	def        lowerCamelCase__		(							self       )						->  Any:
							lowercase_      :   Dict        =			[
							    'text_encoder/pytorch_model.bin',
							    'text_encoder/model.safetensors',
							]
							self.assertTrue(is_safetensors_compatible(_lowercase       )       )
	def        lowerCamelCase__		(							self       )						->  Optional[Any]:
							lowercase_      :   List[Any]        =			[
							    'safety_checker/pytorch_model.bin',
							    'safety_checker/model.safetensors',
							    'vae/diffusion_pytorch_model.bin',
							    'vae/diffusion_pytorch_model.safetensors',
							    'text_encoder/pytorch_model.bin',
							    # Removed: 'text_encoder/model.safetensors',
							    'unet/diffusion_pytorch_model.bin',
							    'unet/diffusion_pytorch_model.safetensors',
							]
							self.assertFalse(is_safetensors_compatible(_lowercase       )       )
	def        lowerCamelCase__		(							self       )						->  Optional[int]:
							lowercase_      :   str        =			[
							    'safety_checker/pytorch_model.fp16.bin',
							    'safety_checker/model.fp16.safetensors',
							    'vae/diffusion_pytorch_model.fp16.bin',
							    'vae/diffusion_pytorch_model.fp16.safetensors',
							    'text_encoder/pytorch_model.fp16.bin',
							    'text_encoder/model.fp16.safetensors',
							    'unet/diffusion_pytorch_model.fp16.bin',
							    'unet/diffusion_pytorch_model.fp16.safetensors',
							]
							lowercase_      :   Union[str, Any]        =			'fp16'
							self.assertTrue(is_safetensors_compatible(_lowercase  ,      variant=_lowercase       )       )
	def        lowerCamelCase__		(							self       )						->  int:
							lowercase_      :   Optional[int]        =			[
							    'unet/diffusion_pytorch_model.fp16.bin',
							    'unet/diffusion_pytorch_model.fp16.safetensors',
							]
							lowercase_      :   Dict        =			'fp16'
							self.assertTrue(is_safetensors_compatible(_lowercase  ,      variant=_lowercase       )       )
	def        lowerCamelCase__		(							self       )						->  int:
							# pass variant but use the non-variant filenames
							lowercase_      :   Optional[int]        =			[
							    'unet/diffusion_pytorch_model.bin',
							    'unet/diffusion_pytorch_model.safetensors',
							]
							lowercase_      :   Dict        =			'fp16'
							self.assertTrue(is_safetensors_compatible(_lowercase  ,      variant=_lowercase       )       )
	def        lowerCamelCase__		(							self       )						->  Union[str, Any]:
							lowercase_      :   int        =			[
							    'safety_checker/pytorch_model.fp16.bin',
							    'safety_checker/model.fp16.safetensors',
							    'vae/diffusion_pytorch_model.fp16.bin',
							    'vae/diffusion_pytorch_model.fp16.safetensors',
							    'text_encoder/pytorch_model.fp16.bin',
							    'text_encoder/model.fp16.safetensors',
							    'unet/diffusion_pytorch_model.fp16.bin',
							    # Removed: 'unet/diffusion_pytorch_model.fp16.safetensors',
							]
							lowercase_      :   Dict        =			'fp16'
							self.assertFalse(is_safetensors_compatible(_lowercase  ,      variant=_lowercase       )       )
	def        lowerCamelCase__		(							self       )						->  int:
							lowercase_      :   str        =			[
							    'text_encoder/pytorch_model.fp16.bin',
							    'text_encoder/model.fp16.safetensors',
							]
							lowercase_      :   str        =			'fp16'
							self.assertTrue(is_safetensors_compatible(_lowercase  ,      variant=_lowercase       )       )
	def        lowerCamelCase__		(							self       )						->  List[str]:
							# pass variant but use the non-variant filenames
							lowercase_      :   List[Any]        =			[
							    'text_encoder/pytorch_model.bin',
							    'text_encoder/model.safetensors',
							]
							lowercase_      :   Dict        =			'fp16'
							self.assertTrue(is_safetensors_compatible(_lowercase  ,      variant=_lowercase       )       )







	def        lowerCamelCase__		(							self       )						->  List[str]:
							lowercase_      :   Union[str, Any]        =			[
							    'safety_checker/pytorch_model.fp16.bin',
							    'safety_checker/model.fp16.safetensors',
							    'vae/diffusion_pytorch_model.fp16.bin',
							    'vae/diffusion_pytorch_model.fp16.safetensors',
							    'text_encoder/pytorch_model.fp16.bin',
							    # 'text_encoder/model.fp16.safetensors',
							    'unet/diffusion_pytorch_model.fp16.bin',
							    'unet/diffusion_pytorch_model.fp16.safetensors',
							]
							lowercase_      :   Dict        =			'fp16'
							self.assertFalse(is_safetensors_compatible(_lowercase  ,      variant=_lowercase       )       )
