"""simple docstring"""



import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links





def  SCREAMING_SNAKE_CASE							(  snake_case,   snake_case=7):
     __snake_case				=				None
     if token is not None:
          __snake_case				=				{"Accept": "application/vnd.github+json", "Authorization": f"Bearer {token}"}

     # The id of a workflow (not of a workflow run)
     __snake_case				=				"636036"

     __snake_case				=				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}"

     __snake_case				=				requests.get(_UpperCamelCase,   headers=_UpperCamelCase).json()

     return result["workflow_runs"]





def  SCREAMING_SNAKE_CASE							(  snake_case):
     __snake_case				=				get_daily_ci_runs(_UpperCamelCase)
     __snake_case				=				None
     for workflow_run in workflow_runs:
          if workflow_run["status"] == "completed":
               __snake_case				=				workflow_run["id"]
               break

     return workflow_run_id





def  SCREAMING_SNAKE_CASE							(  snake_case,   snake_case,   snake_case):
     __snake_case				=				get_last_daily_ci_runs(_UpperCamelCase)
     if workflow_run_id is not None:
          __snake_case				=				get_artifacts_links(worflow_run_id=_UpperCamelCase,   token=_UpperCamelCase)
          for artifact_name in artifact_names:
               if artifact_name in artifacts_links:
                    __snake_case				=				artifacts_links[artifact_name]
                    download_artifact(
                        artifact_name=_UpperCamelCase,   artifact_url=_UpperCamelCase,   output_dir=_UpperCamelCase,   token=_UpperCamelCase)





def  SCREAMING_SNAKE_CASE							(  snake_case,   snake_case,   snake_case):
     get_last_daily_ci_artifacts(_UpperCamelCase,   _UpperCamelCase,   _UpperCamelCase)

     __snake_case				=				{}
     for artifact_name in artifact_names:
          __snake_case				=				os.path.join(_UpperCamelCase,   f"{artifact_name}.zip")
          if os.path.isfile(_UpperCamelCase):
               __snake_case				=				{}
               with zipfile.ZipFile(_UpperCamelCase) as z:
                    for filename in z.namelist():
                         if not os.path.isdir(_UpperCamelCase):
                              # read the file
                              with z.open(_UpperCamelCase) as f:
                                   __snake_case				=				f.read().decode('''UTF-8''')

     return results







'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


UpperCamelCase__			=      {
    'configuration_layoutlmv3': [
        'LAYOUTLMV3_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'LayoutLMv3Config',
        'LayoutLMv3OnnxConfig',
    ],
    'processing_layoutlmv3': ['LayoutLMv3Processor'],
    'tokenization_layoutlmv3': ['LayoutLMv3Tokenizer'],
}

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCamelCase__			=      ['LayoutLMv3TokenizerFast']

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCamelCase__			=      [
     'LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST',
     'LayoutLMv3ForQuestionAnswering',
     'LayoutLMv3ForSequenceClassification',
     'LayoutLMv3ForTokenClassification',
     'LayoutLMv3Model',
     'LayoutLMv3PreTrainedModel',
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCamelCase__			=      [
     'TF_LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST',
     'TFLayoutLMv3ForQuestionAnswering',
     'TFLayoutLMv3ForSequenceClassification',
     'TFLayoutLMv3ForTokenClassification',
     'TFLayoutLMv3Model',
     'TFLayoutLMv3PreTrainedModel',
 ]

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCamelCase__			=      ['LayoutLMv3FeatureExtractor']
 UpperCamelCase__			=      ['LayoutLMv3ImageProcessor']


if TYPE_CHECKING:
 from .configuration_layoutlmva import (
     LAYOUTLMV3_PRETRAINED_CONFIG_ARCHIVE_MAP,
     LayoutLMvaConfig,
     LayoutLMvaOnnxConfig,
 )
 from .processing_layoutlmva import LayoutLMvaProcessor
 from .tokenization_layoutlmva import LayoutLMvaTokenizer

 try:
  if not is_tokenizers_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_layoutlmva_fast import LayoutLMvaTokenizerFast

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_layoutlmva import (
      LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST,
      LayoutLMvaForQuestionAnswering,
      LayoutLMvaForSequenceClassification,
      LayoutLMvaForTokenClassification,
      LayoutLMvaModel,
      LayoutLMvaPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_layoutlmva import (
      TF_LAYOUTLMV3_PRETRAINED_MODEL_ARCHIVE_LIST,
      TFLayoutLMvaForQuestionAnswering,
      TFLayoutLMvaForSequenceClassification,
      TFLayoutLMvaForTokenClassification,
      TFLayoutLMvaModel,
      TFLayoutLMvaPreTrainedModel,
  )

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_layoutlmva import LayoutLMvaFeatureExtractor
  from .image_processing_layoutlmva import LayoutLMvaImageProcessor

else:
 import sys

 UpperCamelCase__			=      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




