






'''simple docstring'''







import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class _lowercase			(       _lowercase       ,   unittest.TestCase	):
							a          = OpenAIGPTTokenizer
							a          = OpenAIGPTTokenizerFast
							a          = True
							a          = False




							def 	lowerCamelCase_       (							self:       List[str]  ):
														super().setUp()

														# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
														lowerCamelCase__      :			List[str] 						= [
														    """l""",
														    """o""",
														    """w""",
														    """e""",
														    """r""",
														    """s""",
														    """t""",
														    """i""",
														    """d""",
														    """n""",
														    """w</w>""",
														    """r</w>""",
														    """t</w>""",
														    """lo""",
														    """low""",
														    """er</w>""",
														    """low</w>""",
														    """lowest</w>""",
														    """newer</w>""",
														    """wider</w>""",
														    """<unk>""",
														]
														lowerCamelCase__      :			Dict 						= dict(zip(UpperCamelCase__    ,							range(len(UpperCamelCase__  )  )  )  )
														lowerCamelCase__      :			Optional[int] 						= ["""#version: 0.2""", """l o""", """lo w""", """e r</w>""", """"""]

														lowerCamelCase__      :			int 						= os.path.join(self.tmpdirname    ,							VOCAB_FILES_NAMES["""vocab_file"""]  )
														lowerCamelCase__      :			Optional[int] 						= os.path.join(self.tmpdirname    ,							VOCAB_FILES_NAMES["""merges_file"""]  )
														with open(self.vocab_file    ,							"""w"""  ) as fp:
																					fp.write(json.dumps(UpperCamelCase__  )  )
														with open(self.merges_file    ,							"""w"""  ) as fp:
																					fp.write("""\n""".join(UpperCamelCase__  )  )




							def 	lowerCamelCase_       (							self:       str    ,							UpperCamelCase__:       Dict  ):
														return "lower newer", "lower newer"




							def 	lowerCamelCase_       (							self:       Union[str, Any]  ):
														lowerCamelCase__      :			Union[str, Any] 						= OpenAIGPTTokenizer(self.vocab_file    ,							self.merges_file  )

														lowerCamelCase__      :			List[Any] 						= """lower"""
														lowerCamelCase__      :			List[Any] 						= ["""low""", """er</w>"""]
														lowerCamelCase__      :			Union[str, Any] 						= tokenizer.tokenize(UpperCamelCase__  )
														self.assertListEqual(UpperCamelCase__    ,							UpperCamelCase__  )

														lowerCamelCase__      :			Tuple 						= tokens + ["""<unk>"""]
														lowerCamelCase__      :			Tuple 						= [14, 15, 20]
														self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__  )    ,							UpperCamelCase__  )




							def 	lowerCamelCase_       (							self:       Union[str, Any]    ,							UpperCamelCase__:       Optional[Any]=15  ):
														for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																					with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''  ):
																												lowerCamelCase__      :			Tuple 						= self.rust_tokenizer_class.from_pretrained(UpperCamelCase__    ,							**UpperCamelCase__  )

																												# Simple input
																												lowerCamelCase__      :			Any 						= """This is a simple input"""
																												lowerCamelCase__      :			List[str] 						= ["""This is a simple input 1""", """This is a simple input 2"""]
																												lowerCamelCase__      :			Tuple 						= ("""This is a simple input""", """This is a pair""")
																												lowerCamelCase__      :			Optional[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
																												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:       Dict  ):
														pass



@require_ftfy
@require_spacy
@require_tokenizers
class _lowercase			(       _lowercase	):
							pass









'''simple docstring'''







from ...utils import is_torch_available, is_transformers_available


if is_transformers_available() and is_torch_available():
			from .pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings, VQDiffusionPipeline

