



import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links





def 							A     (					_UpperCAmelCase    :       Optional[Any]							,       _UpperCAmelCase    :       str=7   )    ->			Optional[int]:







			'''simple docstring'''
			_UpperCAmelCase			=       None
			if token is not None:
						_UpperCAmelCase			=       {'Accept': 'application/vnd.github+json', 'Authorization': F"Bearer {token}"}

			# The id of a workflow (not of a workflow run)
			_UpperCAmelCase			=       '636036'

			_UpperCAmelCase			=       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}"

			_UpperCAmelCase			=       requests.get(_UpperCAmelCase							,       headers=_UpperCAmelCase   ).json()

			return result["workflow_runs"]





def 							A     (					_UpperCAmelCase    :       int   )    ->			Tuple:







			'''simple docstring'''
			_UpperCAmelCase			=       get_daily_ci_runs(_UpperCAmelCase   )
			_UpperCAmelCase			=       None
			for workflow_run in workflow_runs:
						if workflow_run["status"] == "completed":
									_UpperCAmelCase			=       workflow_run['id']
									break

			return workflow_run_id





def 							A     (					_UpperCAmelCase    :       Any							,       _UpperCAmelCase    :       Optional[int]							,       _UpperCAmelCase    :       Optional[Any]   )    ->			Dict:







			'''simple docstring'''
			_UpperCAmelCase			=       get_last_daily_ci_runs(_UpperCAmelCase   )
			if workflow_run_id is not None:
						_UpperCAmelCase			=       get_artifacts_links(worflow_run_id=_UpperCAmelCase							,       token=_UpperCAmelCase   )
						for artifact_name in artifact_names:
									if artifact_name in artifacts_links:
												_UpperCAmelCase			=       artifacts_links[artifact_name]
												download_artifact(
												    artifact_name=_UpperCAmelCase							,       artifact_url=_UpperCAmelCase							,       output_dir=_UpperCAmelCase							,       token=_UpperCAmelCase   )





def 							A     (					_UpperCAmelCase    :       Optional[Any]							,       _UpperCAmelCase    :       Dict							,       _UpperCAmelCase    :       List[str]   )    ->			str:







			'''simple docstring'''
			get_last_daily_ci_artifacts(_UpperCAmelCase							,       _UpperCAmelCase							,       _UpperCAmelCase   )

			_UpperCAmelCase			=       {}
			for artifact_name in artifact_names:
						_UpperCAmelCase			=       os.path.join(_UpperCAmelCase							,       F"{artifact_name}.zip"   )
						if os.path.isfile(_UpperCAmelCase   ):
									_UpperCAmelCase			=       {}
									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:
																					_UpperCAmelCase			=       f.read().decode('UTF-8'   )

			return results





from typing import TYPE_CHECKING

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


UpperCAmelCase__       =	{
    "configuration_lxmert": ["LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LxmertConfig"],
    "tokenization_lxmert": ["LxmertTokenizer"],
}

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__       =	["LxmertTokenizerFast"]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__       =	[
							    "LxmertEncoder",
							    "LxmertForPreTraining",
							    "LxmertForQuestionAnswering",
							    "LxmertModel",
							    "LxmertPreTrainedModel",
							    "LxmertVisualFeatureEncoder",
							    "LxmertXLayer",
							]

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__       =	[
							    "TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "TFLxmertForPreTraining",
							    "TFLxmertMainLayer",
							    "TFLxmertModel",
							    "TFLxmertPreTrainedModel",
							    "TFLxmertVisualFeatureEncoder",
							]


if TYPE_CHECKING:
							from .configuration_lxmert import LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP, LxmertConfig
							from .tokenization_lxmert import LxmertTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_lxmert_fast import LxmertTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_lxmert import (
														    LxmertEncoder,
														    LxmertForPreTraining,
														    LxmertForQuestionAnswering,
														    LxmertModel,
														    LxmertPreTrainedModel,
														    LxmertVisualFeatureEncoder,
														    LxmertXLayer,
														)

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_lxmert import (
														    TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST,
														    TFLxmertForPreTraining,
														    TFLxmertMainLayer,
														    TFLxmertModel,
														    TFLxmertPreTrainedModel,
														    TFLxmertVisualFeatureEncoder,
														)

else:
							import sys

							UpperCAmelCase__       =	_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
