





'''simple docstring'''



import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links




def    _lowerCAmelCase						(				lowerCamelCase_			:  Any		,       lowerCamelCase_			:  Dict=7				):
			__lowercase										=							None
			if token is not None:
						__lowercase										=							{'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"Bearer {token}"}

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

			__lowercase										=							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}"

			__lowercase										=							requests.get(lowerCamelCase_		,       headers=lowerCamelCase_				).json()

			return result["workflow_runs"]




def    _lowerCAmelCase						(				lowerCamelCase_			:  Optional[Any]				):
			__lowercase										=							get_daily_ci_runs(lowerCamelCase_				)
			__lowercase										=							None
			for workflow_run in workflow_runs:
						if workflow_run["status"] == "completed":
									__lowercase										=							workflow_run['''id''']
									break

			return workflow_run_id




def    _lowerCAmelCase						(				lowerCamelCase_			:  List[Any]		,       lowerCamelCase_			:  int		,       lowerCamelCase_			:  List[str]				):
			__lowercase										=							get_last_daily_ci_runs(lowerCamelCase_				)
			if workflow_run_id is not None:
						__lowercase										=							get_artifacts_links(worflow_run_id=lowerCamelCase_		,       token=lowerCamelCase_				)
						for artifact_name in artifact_names:
									if artifact_name in artifacts_links:
												__lowercase										=							artifacts_links[artifact_name]
												download_artifact(
												    artifact_name=lowerCamelCase_		,       artifact_url=lowerCamelCase_		,       output_dir=lowerCamelCase_		,       token=lowerCamelCase_				)




def    _lowerCAmelCase						(				lowerCamelCase_			:  Optional[Any]		,       lowerCamelCase_			:  List[str]		,       lowerCamelCase_			:  Any				):
			get_last_daily_ci_artifacts(lowerCamelCase_		,       lowerCamelCase_		,       lowerCamelCase_				)

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

			return results












'''simple docstring'''



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,
)


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

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

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

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


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


try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_SCREAMING_SNAKE_CASE					=    [
	    '''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

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





