
"""simple docstring"""




import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer


UpperCAmelCase__   :					Dict												=				logging.get_logger(__name__)

UpperCAmelCase__   :					List[Any]												=				{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

UpperCAmelCase__   :					int												=				{
    'vocab_file': {'mobilebert-uncased': 'https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt'},
    'tokenizer_file': {
        'mobilebert-uncased': 'https://huggingface.co/google/mobilebert-uncased/resolve/main/tokenizer.json'
    },
}

UpperCAmelCase__   :					Any												=				{'mobilebert-uncased': 5_1_2}


UpperCAmelCase__   :					str												=				{}



class 			lowerCAmelCase_		(a__						):


				"""simple docstring"""



				__UpperCamelCase   :		str       =     VOCAB_FILES_NAMES
				__UpperCamelCase   :		int       =     PRETRAINED_VOCAB_FILES_MAP
				__UpperCamelCase   :		Tuple       =     PRETRAINED_INIT_CONFIGURATION
				__UpperCamelCase   :		str       =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__UpperCamelCase   :		Tuple       =     MobileBertTokenizer



				def __init__(self     , SCREAMING_SNAKE_CASE__=None     , SCREAMING_SNAKE_CASE__=None     , SCREAMING_SNAKE_CASE__=True     , SCREAMING_SNAKE_CASE__="[UNK]"     , SCREAMING_SNAKE_CASE__="[SEP]"     , SCREAMING_SNAKE_CASE__="[PAD]"     , SCREAMING_SNAKE_CASE__="[CLS]"     , SCREAMING_SNAKE_CASE__="[MASK]"     , SCREAMING_SNAKE_CASE__=True     , SCREAMING_SNAKE_CASE__=None     , **SCREAMING_SNAKE_CASE__     , )      ->	Dict:



											"""simple docstring"""




											super().__init__(
											    SCREAMING_SNAKE_CASE__     , tokenizer_file=SCREAMING_SNAKE_CASE__     , do_lower_case=SCREAMING_SNAKE_CASE__     , unk_token=SCREAMING_SNAKE_CASE__     , sep_token=SCREAMING_SNAKE_CASE__     , pad_token=SCREAMING_SNAKE_CASE__     , cls_token=SCREAMING_SNAKE_CASE__     , mask_token=SCREAMING_SNAKE_CASE__     , tokenize_chinese_chars=SCREAMING_SNAKE_CASE__     , strip_accents=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__     , )

											SCREAMING_SNAKE_CASE__		: Any     =     json.loads(self.backend_tokenizer.normalizer.__getstate__()					)
											if (
											    normalizer_state.get("""lowercase"""     , SCREAMING_SNAKE_CASE__					) != do_lower_case
											    or normalizer_state.get("""strip_accents"""     , SCREAMING_SNAKE_CASE__					) != strip_accents
											    or normalizer_state.get("""handle_chinese_chars"""     , SCREAMING_SNAKE_CASE__					) != tokenize_chinese_chars
											):
																		SCREAMING_SNAKE_CASE__		: Optional[int]     =     getattr(SCREAMING_SNAKE_CASE__     , normalizer_state.pop("""type"""					)					)
																		SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     do_lower_case
																		SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     strip_accents
																		SCREAMING_SNAKE_CASE__		: str     =     tokenize_chinese_chars
																		SCREAMING_SNAKE_CASE__		: Dict     =     normalizer_class(**SCREAMING_SNAKE_CASE__					)

											SCREAMING_SNAKE_CASE__		: List[str]     =     do_lower_case



				def 			__magic_name__					(self     , SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__=None					)      ->	Optional[Any]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__		: Dict     =     [self.cls_token_id] + token_ids_a + [self.sep_token_id]

											if token_ids_a:
																		output += token_ids_a + [self.sep_token_id]

											return output



				def 			__magic_name__					(self     , SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__ = None					)      ->	List[int]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__		: str     =     [self.sep_token_id]
											SCREAMING_SNAKE_CASE__		: List[Any]     =     [self.cls_token_id]
											if token_ids_a is None:
																		return len(cls + token_ids_a + sep					) * [0]
											return len(cls + token_ids_a + sep					) * [0] + len(token_ids_a + sep					) * [1]



				def 			__magic_name__					(self     , SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__ = None					)      ->	Tuple[str]:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__		: List[Any]     =     self._tokenizer.model.save(SCREAMING_SNAKE_CASE__     , name=SCREAMING_SNAKE_CASE__					)
											return tuple(SCREAMING_SNAKE_CASE__					)






"""simple docstring"""




import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links

def lowercase_						(     _snake_case     ,_snake_case=7		):
							SCREAMING_SNAKE_CASE__		: Dict     =     None
							if token is not None:
														SCREAMING_SNAKE_CASE__		: str     =     {"""Accept""": """application/vnd.github+json""", """Authorization""": f'''Bearer {token}'''}

							# The id of a workflow (not of a workflow run)
							SCREAMING_SNAKE_CASE__		: List[str]     =     """636036"""

							SCREAMING_SNAKE_CASE__		: Any     =     f'''https://api.github.com/repos/huggingface/transformers/actions/workflows/{workflow_id}/runs'''
							# On `main` branch + event being `schedule` + not returning PRs + only `num_runs` results
							url += f'''?branch=main&event=schedule&exclude_pull_requests=true&per_page={num_runs}'''

							SCREAMING_SNAKE_CASE__		: str     =     requests.get(_snake_case     ,headers=_snake_case		).json()

							return result["workflow_runs"]

def lowercase_						(     _snake_case		):
							SCREAMING_SNAKE_CASE__		: Tuple     =     get_daily_ci_runs(_snake_case		)
							SCREAMING_SNAKE_CASE__		: int     =     None
							for workflow_run in workflow_runs:
														if workflow_run["status"] == "completed":
																					SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     workflow_run["""id"""]
																					break

							return workflow_run_id

def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: Dict     =     get_last_daily_ci_runs(_snake_case		)
							if workflow_run_id is not None:
														SCREAMING_SNAKE_CASE__		: Tuple     =     get_artifacts_links(worflow_run_id=_snake_case     ,token=_snake_case		)
														for artifact_name in artifact_names:
																					if artifact_name in artifacts_links:
																												SCREAMING_SNAKE_CASE__		: Tuple     =     artifacts_links[artifact_name]
																												download_artifact(
																												    artifact_name=_snake_case     ,artifact_url=_snake_case     ,output_dir=_snake_case     ,token=_snake_case		)

def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case		):
							get_last_daily_ci_artifacts(_snake_case     ,_snake_case     ,_snake_case		)

							SCREAMING_SNAKE_CASE__		: List[str]     =     {}
							for artifact_name in artifact_names:
														SCREAMING_SNAKE_CASE__		: Optional[Any]     =     os.path.join(_snake_case     ,f'''{artifact_name}.zip'''		)
														if os.path.isfile(_snake_case		):
																					SCREAMING_SNAKE_CASE__		: List[Any]     =     {}
																					with zipfile.ZipFile(_snake_case		) as z:
																												for filename in z.namelist():
																																			if not os.path.isdir(_snake_case		):
																																										# read the file
																																										with z.open(_snake_case		) as f:
																																																	SCREAMING_SNAKE_CASE__		: List[Any]     =     f.read().decode("""UTF-8"""		)

							return results




