

import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links


def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__  ,		SCREAMING_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(SCREAMING_SNAKE_CASE__  ,		headers=SCREAMING_SNAKE_CASE__       ).json()

						return result["workflow_runs"]


def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__       ):
						snake_case_   =	get_daily_ci_runs(SCREAMING_SNAKE_CASE__       )
						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					(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__       ):
						snake_case_   =	get_last_daily_ci_runs(SCREAMING_SNAKE_CASE__       )
						if workflow_run_id is not None:
												snake_case_   =	get_artifacts_links(worflow_run_id=SCREAMING_SNAKE_CASE__  ,		token=SCREAMING_SNAKE_CASE__       )
												for artifact_name in artifact_names:
																		if artifact_name in artifacts_links:
																								snake_case_   =	artifacts_links[artifact_name]
																								download_artifact(
																								    artifact_name=SCREAMING_SNAKE_CASE__  ,		artifact_url=SCREAMING_SNAKE_CASE__  ,		output_dir=SCREAMING_SNAKE_CASE__  ,		token=SCREAMING_SNAKE_CASE__       )


def   __SCREAMING_SNAKE_CASE					(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__       ):
						get_last_daily_ci_artifacts(SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__  ,		SCREAMING_SNAKE_CASE__       )

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

						return results


from typing import TYPE_CHECKING

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


lowerCAmelCase_       	=	{'''configuration_xglm''': ['''XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''XGLMConfig''']}

try:
					if not is_sentencepiece_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_       	=	['''XGLMTokenizer''']

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

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_       	=	[
					    '''XGLM_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''XGLMForCausalLM''',
					    '''XGLMModel''',
					    '''XGLMPreTrainedModel''',
					]


try:
					if not is_flax_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_       	=	[
					    '''FlaxXGLMForCausalLM''',
					    '''FlaxXGLMModel''',
					    '''FlaxXGLMPreTrainedModel''',
					]


try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase_       	=	[
					    '''TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''TFXGLMForCausalLM''',
					    '''TFXGLMModel''',
					    '''TFXGLMPreTrainedModel''',
					]


if TYPE_CHECKING:
					from .configuration_xglm import XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XGLMConfig

					try:
										if not is_sentencepiece_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_xglm import XGLMTokenizer

					try:
										if not is_tokenizers_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_xglm_fast import XGLMTokenizerFast

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_xglm import XGLM_PRETRAINED_MODEL_ARCHIVE_LIST, XGLMForCausalLM, XGLMModel, XGLMPreTrainedModel

					try:
										if not is_flax_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_flax_xglm import FlaxXGLMForCausalLM, FlaxXGLMModel, FlaxXGLMPreTrainedModel

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_xglm import (
										    TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TFXGLMForCausalLM,
										    TFXGLMModel,
										    TFXGLMPreTrainedModel,
										)


else:
					import sys

					lowerCAmelCase_       	=	_LazyModule(__name__, globals()['''__file__'''], _import_structure)