
'''simple docstring'''




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 					A							(				__snake_case       ,     unittest.TestCase		):
     __magic_name__          =						BioGptTokenizer
     __magic_name__          =						False





     def 							__lowerCAmelCase				(				self      )					->							List[str]:






         """simple docstring"""






         super().setUp()

         # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
         A			:  Tuple   =		[
             '''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>''',
         ]
         A			:  int   =		dict(zip(SCREAMING_SNAKE_CASE		,     range(len(SCREAMING_SNAKE_CASE      )      )      )      )
         A			:  Tuple   =		['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

         A			:  int   =		os.path.join(self.tmpdirname		,     VOCAB_FILES_NAMES['''vocab_file''']      )
         A			:  List[Any]   =		os.path.join(self.tmpdirname		,     VOCAB_FILES_NAMES['''merges_file''']      )
         with open(self.vocab_file		,     '''w'''      ) as fp:
             fp.write(json.dumps(SCREAMING_SNAKE_CASE      )      )
         with open(self.merges_file		,     '''w'''      ) as fp:
             fp.write('''\n'''.join(SCREAMING_SNAKE_CASE      )      )





     def 							__lowerCAmelCase				(				self		,     SCREAMING_SNAKE_CASE      )					->							Optional[Any]:






         """simple docstring"""






         A			:  List[Any]   =		'''lower newer'''
         A			:  Dict   =		'''lower newer'''
         return input_text, output_text





     def 							__lowerCAmelCase				(				self      )					->							Tuple:






         """simple docstring"""






         A			:  Tuple   =		BioGptTokenizer(self.vocab_file		,     self.merges_file      )

         A			:  int   =		'''lower'''
         A			:  List[Any]   =		['''low''', '''er</w>''']
         A			:  List[str]   =		tokenizer.tokenize(SCREAMING_SNAKE_CASE      )
         self.assertListEqual(SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE      )

         A			:  int   =		tokens + ['''<unk>''']
         A			:  Dict   =		[14, 15, 20]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE      )		,     SCREAMING_SNAKE_CASE      )





     @slow
     def 							__lowerCAmelCase				(				self      )					->							List[str]:






         """simple docstring"""






         A			:  Optional[Any]   =		BioGptTokenizer.from_pretrained('''microsoft/biogpt'''      )

         A			:  Tuple   =		tokenizer.encode('''sequence builders'''		,     add_special_tokens=SCREAMING_SNAKE_CASE      )
         A			:  Union[str, Any]   =		tokenizer.encode('''multi-sequence build'''		,     add_special_tokens=SCREAMING_SNAKE_CASE      )

         A			:  List[Any]   =		tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE      )
         A			:  Optional[int]   =		tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE      )

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






'''simple docstring'''




# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import re

from ..utils import cached_file


# docstyle-ignore
lowercase     :							Tuple       						=     '\nHuman: <<task>>\n\nAssistant: '


lowercase     :							Union[str, Any]       						=     'huggingface-tools/default-prompts'
lowercase     :							int       						=     {'chat': 'chat_prompt_template.txt', 'run': 'run_prompt_template.txt'}







def 						lowerCAmelCase_							(  snake_case__						,							snake_case__						,							snake_case__="run"		):




    '''simple docstring'''



    if prompt_or_repo_id is None:
        A			:  List[Any]   =		DEFAULT_PROMPTS_REPO

    # prompt is considered a repo ID when it does not contain any kind of space
    if re.search('''\\s'''						,							snake_case__		) is not None:
        return prompt_or_repo_id

    A			:  int   =		cached_file(
        snake_case__						,							PROMPT_FILES[mode]						,							repo_type='''dataset'''						,							user_agent={'''agent''': agent_name}		)
    with open(snake_case__						,							'''r'''						,							encoding='''utf-8'''		) as f:
        return f.read()




