
import json
import os
import unittest

from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin

class        _UpperCamelCase				(					_A     ,       unittest.TestCase  ):






			'''simple docstring'''

			__UpperCamelCase      :						Optional[Any]					      = BioGptTokenizer
			__UpperCamelCase      :						int					      = False

			def       lowerCAmelCase__	(       self :       str      ):
							super().setUp()

							# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
							UpperCamelCase_:							List[Any]	=						[
							    """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>""",
							]
							UpperCamelCase_:							List[Any]	=						dict(zip(snake_case_						,	range(len(snake_case_      )      )      )      )
							UpperCamelCase_:							Any	=						["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

							UpperCamelCase_:							Any	=						os.path.join(self.tmpdirname						,	VOCAB_FILES_NAMES["""vocab_file"""]      )
							UpperCamelCase_:							str	=						os.path.join(self.tmpdirname						,	VOCAB_FILES_NAMES["""merges_file"""]      )
							with open(self.vocab_file						,	"""w"""      ) as fp:
											fp.write(json.dumps(snake_case_      )      )
							with open(self.merges_file						,	"""w"""      ) as fp:
											fp.write("""\n""".join(snake_case_      )      )

			def       lowerCAmelCase__	(       self :       Dict						,	snake_case_ :       str      ):
							UpperCamelCase_:							Dict	=						"""lower newer"""
							UpperCamelCase_:							Optional[int]	=						"""lower newer"""
							return input_text, output_text

			def       lowerCAmelCase__	(       self :       List[str]      ):
							UpperCamelCase_:							List[str]	=						BioGptTokenizer(self.vocab_file						,	self.merges_file      )

							UpperCamelCase_:							Optional[int]	=						"""lower"""
							UpperCamelCase_:							Tuple	=						["""low""", """er</w>"""]
							UpperCamelCase_:							Union[str, Any]	=						tokenizer.tokenize(snake_case_      )
							self.assertListEqual(snake_case_						,	snake_case_      )

							UpperCamelCase_:							Any	=						tokens + ["""<unk>"""]
							UpperCamelCase_:							Any	=						[14, 15, 20]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_      )						,	snake_case_      )




			@slow
			def       lowerCAmelCase__	(       self :       Optional[int]      ):
							UpperCamelCase_:							List[Any]	=						BioGptTokenizer.from_pretrained("""microsoft/biogpt"""      )

							UpperCamelCase_:							Dict	=						tokenizer.encode("""sequence builders"""						,	add_special_tokens=snake_case_      )
							UpperCamelCase_:							List[str]	=						tokenizer.encode("""multi-sequence build"""						,	add_special_tokens=snake_case_      )

							UpperCamelCase_:							Any	=						tokenizer.build_inputs_with_special_tokens(snake_case_      )
							UpperCamelCase_:							Dict	=						tokenizer.build_inputs_with_special_tokens(snake_case_						,	snake_case_      )

							self.assertTrue(encoded_sentence == [2] + text      )
							self.assertTrue(encoded_pair == [2] + text + [2] + text_a      )








import os

from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE, hf_cache_home


lowerCamelCase_						: Optional[int]         =  HUGGINGFACE_HUB_CACHE


lowerCamelCase_						: List[str]         =  """config.json"""
lowerCamelCase_						: Any         =  """diffusion_pytorch_model.bin"""
lowerCamelCase_						: Union[str, Any]         =  """diffusion_flax_model.msgpack"""
lowerCamelCase_						: Dict         =  """model.onnx"""
lowerCamelCase_						: List[Any]         =  """diffusion_pytorch_model.safetensors"""
lowerCamelCase_						: Optional[Any]         =  """weights.pb"""
lowerCamelCase_						: Optional[Any]         =  """https://huggingface.co"""
lowerCamelCase_						: Union[str, Any]         =  default_cache_path
lowerCamelCase_						: Tuple         =  """diffusers_modules"""
lowerCamelCase_						: Optional[Any]         =  os.getenv("""HF_MODULES_CACHE""", os.path.join(hf_cache_home, """modules"""))
lowerCamelCase_						: str         =  ["""fp16""", """non-ema"""]
lowerCamelCase_						: List[Any]         =  """.self_attn"""






