


"""simple docstring"""



import os
import tempfile
import unittest
from typing import List

from transformers.models.esm.tokenization_esm import VOCAB_FILES_NAMES, EsmTokenizer
from transformers.testing_utils import require_tokenizers
from transformers.tokenization_utils import PreTrainedTokenizer
from transformers.tokenization_utils_base import PreTrainedTokenizerBase







@require_tokenizers
class       __a	(   unittest.TestCase       ):
				lowerCamelCase    :					Tuple 					=EsmTokenizer







				def     lowerCamelCase_    (   self      ):

					'''simple docstring'''






					super().setUp()
					lowerCAmelCase_			       = tempfile.mkdtemp()
					# fmt: off
					lowerCAmelCase_			       = ["<cls>", "<pad>", "<eos>", "<unk>", "L", "A", "G", "V", "S", "E", "R", "T", "I", "D", "P", "K", "Q", "N", "F", "Y", "M", "H", "W", "C", "X", "B", "U", "Z", "O", ".", "-", "<null_1>", "<mask>"]  # noqa: E501
					# fmt: on
					lowerCAmelCase_			       = os.path.join(self.tmpdirname			,  VOCAB_FILES_NAMES['''vocab_file''']      )
					with open(self.vocab_file			,  '''w'''			,  encoding='''utf-8'''      ) as vocab_writer:
						vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]      )      )







				def     lowerCamelCase_    (   self			,  **UpperCAmelCase      ):

					'''simple docstring'''






					return [self.get_tokenizer(**UpperCAmelCase      )]







				def     lowerCamelCase_    (   self			,  **UpperCAmelCase      ):

					'''simple docstring'''






					return self.tokenizer_class.from_pretrained(self.tmpdirname			,  **UpperCAmelCase      )







				def     lowerCamelCase_    (   self      ):

					'''simple docstring'''






					lowerCAmelCase_			       = self.tokenizer_class(self.vocab_file      )

					lowerCAmelCase_			       = tokenizer.tokenize('''LAGVS'''      )
					self.assertListEqual(UpperCAmelCase			,  ['''L''', '''A''', '''G''', '''V''', '''S''']      )
					self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase      )			,  [4, 5, 6, 7, 8]      )







				def     lowerCamelCase_    (   self      ):

					'''simple docstring'''






					lowerCAmelCase_			       = self.tokenizer_class(self.vocab_file      )

					lowerCAmelCase_			       = '''LAGVS'''
					self.assertListEqual(tokenizer.encode(UpperCAmelCase      )			,  [0, 4, 5, 6, 7, 8, 2]      )







				def     lowerCamelCase_    (   self      ):

					'''simple docstring'''






					lowerCAmelCase_			       = self.tokenizer_class(self.vocab_file      )

					lowerCAmelCase_			       = ['''LAGVS''', '''WCB''']
					lowerCAmelCase_			       = tokenizer(UpperCAmelCase			,  padding=UpperCAmelCase      )['''input_ids''']

					self.assertListEqual(UpperCAmelCase			,  [[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2]]      )







				def     lowerCamelCase_    (   self      ):

					'''simple docstring'''






					lowerCAmelCase_			       = self.tokenizer_class(self.vocab_file      )

					lowerCAmelCase_			       = ['''LAGVS''', '''WCB''']
					lowerCAmelCase_			       = tokenizer(UpperCAmelCase			,  padding=UpperCAmelCase      )['''input_ids''']

					self.assertListEqual(UpperCAmelCase			,  [[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2, 1, 1]]      )







				def     lowerCamelCase_    (   self      ):

					'''simple docstring'''






					lowerCAmelCase_			       = self.get_tokenizers(fast=UpperCAmelCase      )
					for tokenizer in tokenizers:
						with self.subTest(F"""{tokenizer.__class__.__name__}"""      ):
							lowerCAmelCase_			       = '''<unk>'''
							lowerCAmelCase_			       = '''<mask>'''

							lowerCAmelCase_			       = tokenizer.tokenize(UpperCAmelCase      )
							lowerCAmelCase_			       = tokenizer.tokenize(UpperCAmelCase      )

							self.assertEqual(len(UpperCAmelCase      )			,  1      )
							self.assertEqual(len(UpperCAmelCase      )			,  1      )
							self.assertEqual(token_a[0]			,  UpperCAmelCase      )
							self.assertEqual(token_a[0]			,  UpperCAmelCase      )



"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowercase_							 =       {'configuration_pegasus': ['PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP', 'PegasusConfig']}

try:
		if not is_sentencepiece_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase_							 =       ['PegasusTokenizer']

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase_							 =       ['PegasusTokenizerFast']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase_							 =       [
		    'PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'PegasusForCausalLM',
		    'PegasusForConditionalGeneration',
		    'PegasusModel',
		    'PegasusPreTrainedModel',
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase_							 =       [
		    'TFPegasusForConditionalGeneration',
		    'TFPegasusModel',
		    'TFPegasusPreTrainedModel',
		]

try:
		if not is_flax_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase_							 =       [
		    'FlaxPegasusForConditionalGeneration',
		    'FlaxPegasusModel',
		    'FlaxPegasusPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_pegasus import PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusConfig

		try:
				if not is_sentencepiece_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_pegasus import PegasusTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_pegasus_fast import PegasusTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_pegasus import (
				    PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
				    PegasusForCausalLM,
				    PegasusForConditionalGeneration,
				    PegasusModel,
				    PegasusPreTrainedModel,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_pegasus import TFPegasusForConditionalGeneration, TFPegasusModel, TFPegasusPreTrainedModel

		try:
				if not is_flax_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_flax_pegasus import (
				    FlaxPegasusForConditionalGeneration,
				    FlaxPegasusModel,
				    FlaxPegasusPreTrainedModel,
				)

else:
		import sys

		lowercase_							 =       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)