


'''simple docstring'''







import os
from typing import List, Optional, Union

from ...tokenization_utils import PreTrainedTokenizer
from ...tokenization_utils_base import AddedToken
from ...utils import logging


a__  :					List[str]        =       logging.get_logger(__name__)

a__  :					Optional[int]        =       {'vocab_file': 'vocab.txt'}

a__  :					Optional[Any]        =       {
    'vocab_file': {
        'facebook/esm2_t6_8M_UR50D': 'https://huggingface.co/facebook/esm2_t6_8M_UR50D/resolve/main/vocab.txt',
        'facebook/esm2_t12_35M_UR50D': 'https://huggingface.co/facebook/esm2_t12_35M_UR50D/resolve/main/vocab.txt',
    },
}

a__  :					Optional[int]        =       {
    'facebook/esm2_t6_8M_UR50D': 1_0_2_4,
    'facebook/esm2_t12_35M_UR50D': 1_0_2_4,
}







def _UpperCamelCase       (     __A    )							->		str:


      '''simple docstring'''



      with open(__A      ,			"r"    ) as f:
            UpperCamelCase__										=				f.read().splitlines()
            return [l.strip() for l in lines]



class 					lowercase_     (    a__   ):
    __UpperCAmelCase   			=	VOCAB_FILES_NAMES
    __UpperCAmelCase   			=	PRETRAINED_VOCAB_FILES_MAP
    __UpperCAmelCase   			=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __UpperCAmelCase   			=	['input_ids', 'attention_mask']


    def __init__(     self  ,					a  ,					a="<unk>"  ,					a="<cls>"  ,					a="<pad>"  ,					a="<mask>"  ,					a="<eos>"  ,					**a  ,					):
          super().__init__(**a    )
          UpperCamelCase__										=				load_vocab_file(a    )
          UpperCamelCase__										=				dict(enumerate(self.all_tokens    )    )
          UpperCamelCase__										=				{tok: ind for ind, tok in enumerate(self.all_tokens    )}
          UpperCamelCase__										=				unk_token
          UpperCamelCase__										=				cls_token
          UpperCamelCase__										=				pad_token
          UpperCamelCase__										=				mask_token
          UpperCamelCase__										=				eos_token
          UpperCamelCase__										=				self.all_tokens
          self._create_trie(self.unique_no_split_tokens    )


    def    __a							(     self  ,					a    ):
          return self._id_to_token.get(a  ,					self.unk_token    )


    def    __a							(     self  ,					a    ):
          return self._token_to_id.get(a  ,					self._token_to_id.get(self.unk_token    )    )


    def    __a							(     self  ,					a  ,					**a    ):
          return text.split()


    def    __a							(     self  ,					a=False    ):
          return len(self._id_to_token    )


    def    __a							(     self    ):
          return {token: i for i, token in enumerate(self.all_tokens    )}


    def    __a							(     self  ,					a    ):
          return self._token_to_id.get(a  ,					self._token_to_id.get(self.unk_token    )    )


    def    __a							(     self  ,					a    ):
          return self._id_to_token.get(a  ,					self.unk_token    )


    def    __a							(     self  ,					a  ,					a = None    ):
          UpperCamelCase__										=				[self.cls_token_id]
          UpperCamelCase__										=				[self.eos_token_id]  # No sep token in ESM vocabulary
          if token_ids_a is None:
                if self.eos_token_id is None:
                      return cls + token_ids_a
                else:
                      return cls + token_ids_a + sep
          elif self.eos_token_id is None:
                raise ValueError("Cannot tokenize multiple sequences when EOS token is not set!"    )
          return cls + token_ids_a + sep + token_ids_a + sep  # Multiple inputs always have an EOS token


    def    __a							(     self  ,					a  ,					a = None  ,					a = False    ):
          if already_has_special_tokens:
                if token_ids_a is not None:
                      raise ValueError(
                          "You should not supply a second sequence if the provided sequence of "
                          "ids is already formatted with special tokens for the model."    )

                return [1 if token in self.all_special_ids else 0 for token in token_ids_a]
          UpperCamelCase__										=				[1] + ([0] * len(a    )) + [1]
          if token_ids_a is not None:
                mask += [0] * len(a    ) + [1]
          return mask


    def    __a							(     self  ,					a  ,					a    ):
          UpperCamelCase__										=				os.path.join(a  ,					(filename_prefix + "-" if filename_prefix else "") + "vocab.txt"    )
          with open(a  ,					"w"    ) as f:
                f.write("\n".join(self.all_tokens    )    )
          return (vocab_file,)


    @property
    def    __a							(     self    ):
          return self.get_vocab_size(with_added_tokens=a    )


    def    __a							(     self  ,					a  ,					a = False    ):
          return super()._add_tokens(a  ,					special_tokens=a    )







"""simple docstring"""





import json
import os
from pathlib import Path

import pytest

from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename


_a														=		"""http://www.mocksite.com/file1.txt"""
_a														=		"""\"text\": [\"foo\", \"foo\"]"""
_a														=		"""6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8"""






class     _UpperCAmelCase:
		lowercase__						=      2_00
		lowercase__						=      {'Content-Length': '100'}
		lowercase__						=      {}



		def 						UpperCAmelCase							(					self				,		**__a)       ->       Optional[int]:






							'''simple docstring'''
							return [bytes(__a				,		'''utf-8''')]





def       lowerCamelCase__		(			*__snake_case,     **__snake_case	)							->		int:


					"""simple docstring"""





					return MockResponse()



@pytest.mark.parametrize('''urls_type''',     [str, list, dict]	)
def       lowerCamelCase__		(			__snake_case,     __snake_case,     __snake_case	)							->		Dict:


					"""simple docstring"""





					import requests

					monkeypatch.setattr(__snake_case,     '''request''',     __snake_case	)

					_UpperCamelCase							 =  URL
					if issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  url
					elif issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  [url]
					elif issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  {'''train''': url}
					_UpperCamelCase							 =  '''dummy'''
					_UpperCamelCase							 =  '''downloads'''
					_UpperCamelCase							 =  tmp_path
					_UpperCamelCase							 =  DownloadConfig(
					    cache_dir=os.path.join(__snake_case,     __snake_case	),     use_etag=__snake_case,     )
					_UpperCamelCase							 =  DownloadManager(dataset_name=__snake_case,     download_config=__snake_case	)
					_UpperCamelCase							 =  dl_manager.download(__snake_case	)
					_UpperCamelCase							 =  urls
					for downloaded_paths in [downloaded_paths]:
										if isinstance(__snake_case,     __snake_case	):
															_UpperCamelCase							 =  [downloaded_paths]
															_UpperCamelCase							 =  [urls]
										elif isinstance(__snake_case,     __snake_case	):
															assert "train" in downloaded_paths.keys()
															_UpperCamelCase							 =  downloaded_paths.values()
															_UpperCamelCase							 =  urls.values()
										assert downloaded_paths
										for downloaded_path, input_url in zip(__snake_case,     __snake_case	):
															assert downloaded_path == dl_manager.downloaded_paths[input_url]
															_UpperCamelCase							 =  Path(__snake_case	)
															_UpperCamelCase							 =  downloaded_path.parts
															assert parts[-1] == HASH
															assert parts[-2] == cache_subdir
															assert downloaded_path.exists()
															_UpperCamelCase							 =  downloaded_path.read_text()
															assert content == CONTENT
															_UpperCamelCase							 =  downloaded_path.with_suffix('''.json'''	)
															assert metadata_downloaded_path.exists()
															_UpperCamelCase							 =  json.loads(metadata_downloaded_path.read_text()	)
															assert metadata_content == {"url": URL, "etag": None}



@pytest.mark.parametrize('''paths_type''',     [str, list, dict]	)
def       lowerCamelCase__		(			__snake_case,     __snake_case,     __snake_case	)							->		List[str]:


					"""simple docstring"""





					_UpperCamelCase							 =  str(__snake_case	)
					if issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  filename
					elif issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  [filename]
					elif issubclass(__snake_case,     __snake_case	):
										_UpperCamelCase							 =  {'''train''': filename}
					_UpperCamelCase							 =  '''dummy'''
					_UpperCamelCase							 =  xz_file.parent
					_UpperCamelCase							 =  '''extracted'''
					_UpperCamelCase							 =  DownloadConfig(
					    cache_dir=__snake_case,     use_etag=__snake_case,     )
					_UpperCamelCase							 =  DownloadManager(dataset_name=__snake_case,     download_config=__snake_case	)
					_UpperCamelCase							 =  dl_manager.extract(__snake_case	)
					_UpperCamelCase							 =  paths
					for extracted_paths in [extracted_paths]:
										if isinstance(__snake_case,     __snake_case	):
															_UpperCamelCase							 =  [extracted_paths]
															_UpperCamelCase							 =  [paths]
										elif isinstance(__snake_case,     __snake_case	):
															assert "train" in extracted_paths.keys()
															_UpperCamelCase							 =  extracted_paths.values()
															_UpperCamelCase							 =  paths.values()
										assert extracted_paths
										for extracted_path, input_path in zip(__snake_case,     __snake_case	):
															assert extracted_path == dl_manager.extracted_paths[input_path]
															_UpperCamelCase							 =  Path(__snake_case	)
															_UpperCamelCase							 =  extracted_path.parts
															assert parts[-1] == hash_url_to_filename(__snake_case,     etag=__snake_case	)
															assert parts[-2] == extracted_subdir
															assert extracted_path.exists()
															_UpperCamelCase							 =  extracted_path.read_text()
															_UpperCamelCase							 =  text_file.read_text()
															assert extracted_file_content == expected_file_content



def       lowerCamelCase__		(			__snake_case,     __snake_case	)							->		Optional[Any]:


					"""simple docstring"""





					assert path.endswith('''.jsonl'''	)
					for num_items, line in enumerate(__snake_case,     start=1	):
										_UpperCamelCase							 =  json.loads(line.decode('''utf-8'''	)	)
										assert item.keys() == {"col_1", "col_2", "col_3"}
					assert num_items == 4



@pytest.mark.parametrize('''archive_jsonl''',     ['''tar_jsonl_path''', '''zip_jsonl_path''']	)
def       lowerCamelCase__		(			__snake_case,     __snake_case	)							->		int:


					"""simple docstring"""





					_UpperCamelCase							 =  request.getfixturevalue(__snake_case	)
					_UpperCamelCase							 =  DownloadManager()
					for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(__snake_case	),     start=1	):
										_test_jsonl(__snake_case,     __snake_case	)
					assert num_jsonl == 2



@pytest.mark.parametrize('''archive_nested_jsonl''',     ['''tar_nested_jsonl_path''', '''zip_nested_jsonl_path''']	)
def       lowerCamelCase__		(			__snake_case,     __snake_case	)							->		int:


					"""simple docstring"""





					_UpperCamelCase							 =  request.getfixturevalue(__snake_case	)
					_UpperCamelCase							 =  DownloadManager()
					for num_tar, (path, file) in enumerate(dl_manager.iter_archive(__snake_case	),     start=1	):
										for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(__snake_case	),     start=1	):
															_test_jsonl(__snake_case,     __snake_case	)
					assert num_tar == 1
					assert num_jsonl == 2



def       lowerCamelCase__		(			__snake_case	)							->		Dict:


					"""simple docstring"""





					_UpperCamelCase							 =  DownloadManager()
					for num_file, file in enumerate(dl_manager.iter_files(__snake_case	),     start=1	):
										assert os.path.basename(__snake_case	) == ("test.txt" if num_file == 1 else "train.txt")
					assert num_file == 2






