






import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter

import requests

def _UpperCAmelCase   (	a						:	Union[str, Any]  ,					a						:	Any=None		):
							snake_case__	  =       None
							if token is not None:
														snake_case__	  =       {"""Accept""": """application/vnd.github+json""", """Authorization""": F'''Bearer {token}'''}

							snake_case__	  =       F'''https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'''
							snake_case__	  =       requests.get(a  ,					headers=a		).json()
							snake_case__	  =       {}

							try:
														job_links.update({job["""name"""]: job["""html_url"""] for job in result["""jobs"""]}		)
														snake_case__	  =       math.ceil((result["""total_count"""] - 100) / 100		)

														for i in range(a		):
																					snake_case__	  =       requests.get(url + F'''&page={i + 2}'''  ,					headers=a		).json()
																					job_links.update({job["""name"""]: job["""html_url"""] for job in result["""jobs"""]}		)

														return job_links
							except Exception:
														print(F'''Unknown error, could not fetch links:\n{traceback.format_exc()}'''		)

							return {}

def _UpperCAmelCase   (	a						:	int  ,					a						:	int=None		):
							snake_case__	  =       None
							if token is not None:
														snake_case__	  =       {"""Accept""": """application/vnd.github+json""", """Authorization""": F'''Bearer {token}'''}

							snake_case__	  =       F'''https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100'''
							snake_case__	  =       requests.get(a  ,					headers=a		).json()
							snake_case__	  =       {}

							try:
														artifacts.update({artifact["""name"""]: artifact["""archive_download_url"""] for artifact in result["""artifacts"""]}		)
														snake_case__	  =       math.ceil((result["""total_count"""] - 100) / 100		)

														for i in range(a		):
																					snake_case__	  =       requests.get(url + F'''&page={i + 2}'''  ,					headers=a		).json()
																					artifacts.update({artifact["""name"""]: artifact["""archive_download_url"""] for artifact in result["""artifacts"""]}		)

														return artifacts
							except Exception:
														print(F'''Unknown error, could not fetch links:\n{traceback.format_exc()}'''		)

							return {}

def _UpperCAmelCase   (	a						:	Any  ,					a						:	Union[str, Any]  ,					a						:	int  ,					a						:	int		):
							snake_case__	  =       None
							if token is not None:
														snake_case__	  =       {"""Accept""": """application/vnd.github+json""", """Authorization""": F'''Bearer {token}'''}

							snake_case__	  =       requests.get(a  ,					headers=a  ,					allow_redirects=a		)
							snake_case__	  =       result.headers["""Location"""]
							snake_case__	  =       requests.get(a  ,					allow_redirects=a		)
							snake_case__	  =       os.path.join(a  ,					F'''{artifact_name}.zip'''		)
							with open(a  ,					"""wb"""		) as fp:
														fp.write(response.content		)

def _UpperCAmelCase   (	a						:	str  ,					a						:	Union[str, Any]=None		):
							snake_case__	  =       []
							snake_case__	  =       []
							snake_case__	  =       None

							with zipfile.ZipFile(a		) as z:
														for filename in z.namelist():
																					if not os.path.isdir(a		):
																												# read the file
																												if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
																																			with z.open(a		) as f:
																																										for line in f:
																																																	snake_case__	  =       line.decode("""UTF-8"""		).strip()
																																																	if filename == "failures_line.txt":
																																																								try:
																																																															# `error_line` is the place where `error` occurs
																																																															snake_case__	  =       line[: line.index(""": """		)]
																																																															snake_case__	  =       line[line.index(""": """		) + len(""": """		) :]
																																																															errors.append([error_line, error]		)
																																																								except Exception:
																																																															# skip un-related lines
																																																															pass
																																																	elif filename == "summary_short.txt" and line.startswith("""FAILED """		):
																																																								# `test` is the test method that failed
																																																								snake_case__	  =       line[len("""FAILED """		) :]
																																																								failed_tests.append(a		)
																																																	elif filename == "job_name.txt":
																																																								snake_case__	  =       line

							if len(a		) != len(a		):
														raise ValueError(
														    F'''`errors` and `failed_tests` should have the same number of elements. Got {len(a		)} for `errors` '''
														    F'''and {len(a		)} for `failed_tests` instead. The test reports in {artifact_zip_path} have some'''
														    """ problem."""		)

							snake_case__	  =       None
							if job_name and job_links:
														snake_case__	  =       job_links.get(a  ,					a		)

							# A list with elements of the form (line of error, error, failed test)
							snake_case__	  =       [x + [y] + [job_link] for x, y in zip(a  ,					a		)]

							return result

def _UpperCAmelCase   (	a						:	str  ,					a						:	str=None		):
							snake_case__	  =       []

							snake_case__	  =       [os.path.join(a  ,					a		) for p in os.listdir(a		) if p.endswith(""".zip"""		)]
							for p in paths:
														errors.extend(get_errors_from_single_artifact(a  ,					job_links=a		)		)

							return errors

def _UpperCAmelCase   (	a						:	Tuple  ,					a						:	Optional[Any]=None		):
							snake_case__	  =       Counter()
							counter.update([x[1] for x in logs]		)
							snake_case__	  =       counter.most_common()
							snake_case__	  =       {}
							for error, count in counts:
														if error_filter is None or error not in error_filter:
																					snake_case__	  =       {"""count""": count, """failed_tests""": [(x[2], x[0]) for x in logs if x[1] == error]}

							snake_case__	  =       dict(sorted(r.items()  ,					key=lambda a		: item[1]["count"]  ,					reverse=a		)		)
							return r

def _UpperCAmelCase   (	a						:	List[str]		):
							snake_case__	  =       test.split("""::"""		)[0]
							if test.startswith("""tests/models/"""		):
														snake_case__	  =       test.split("""/"""		)[2]
							else:
														snake_case__	  =       None

							return test

def _UpperCAmelCase   (	a						:	Optional[int]  ,					a						:	Union[str, Any]=None		):
							snake_case__	  =       [(x[0], x[1], get_model(x[2]		)) for x in logs]
							snake_case__	  =       [x for x in logs if x[2] is not None]
							snake_case__	  =       {x[2] for x in logs}

							snake_case__	  =       {}
							for test in tests:
														snake_case__	  =       Counter()
														# count by errors in `test`
														counter.update([x[1] for x in logs if x[2] == test]		)
														snake_case__	  =       counter.most_common()
														snake_case__	  =       {error: count for error, count in counts if (error_filter is None or error not in error_filter)}
														snake_case__	  =       sum(error_counts.values()		)
														if n_errors > 0:
																					snake_case__	  =       {"""count""": n_errors, """errors""": error_counts}

							snake_case__	  =       dict(sorted(r.items()  ,					key=lambda a		: item[1]["count"]  ,					reverse=a		)		)
							return r

def _UpperCAmelCase   (	a						:	List[str]		):
							snake_case__	  =       """| no. | error | status |"""
							snake_case__	  =       """|-:|:-|:-|"""
							snake_case__	  =       [header, sep]
							for error in reduced_by_error:
														snake_case__	  =       reduced_by_error[error]["""count"""]
														snake_case__	  =       F'''| {count} | {error[:100]} |  |'''
														lines.append(a		)

							return "\n".join(a		)

def _UpperCAmelCase   (	a						:	Any		):
							snake_case__	  =       """| model | no. of errors | major error | count |"""
							snake_case__	  =       """|-:|-:|-:|-:|"""
							snake_case__	  =       [header, sep]
							for model in reduced_by_model:
														snake_case__	  =       reduced_by_model[model]["""count"""]
														snake_case__  , snake_case__	  =       list(reduced_by_model[model]["""errors"""].items()		)[0]
														snake_case__	  =       F'''| {model} | {count} | {error[:60]} | {_count} |'''
														lines.append(a		)

							return "\n".join(a		)


if __name__ == "__main__":
	a__       =     argparse.ArgumentParser()
	# Required parameters
	parser.add_argument("""--workflow_run_id""", type=str, required=True, help="""A GitHub Actions workflow run id.""")
	parser.add_argument(
	    """--output_dir""",
	    type=str,
	    required=True,
	    help="""Where to store the downloaded artifacts and other result files.""",
	)
	parser.add_argument("""--token""", default=None, type=str, help="""A token that has actions:read permission.""")
	a__       =     parser.parse_args()

	os.makedirs(args.output_dir, exist_ok=True)

	a__       =     get_job_links(args.workflow_run_id, token=args.token)
	a__       =     {}
	# To deal with `workflow_call` event, where a job name is the combination of the job names in the caller and callee.
	# For example, `PyTorch 1.11 / Model tests (models/albert, single-gpu)`.
	if _job_links:
		for k, v in _job_links.items():
			# This is how GitHub actions combine job names.
			if " / " in k:
				a__       =     k.find(""" / """)
				a__       =     k[index + len(""" / """) :]
			a__       =     v
	with open(os.path.join(args.output_dir, """job_links.json"""), """w""", encoding="""UTF-8""") as fp:
		json.dump(job_links, fp, ensure_ascii=False, indent=4)

	a__       =     get_artifacts_links(args.workflow_run_id, token=args.token)
	with open(os.path.join(args.output_dir, """artifacts.json"""), """w""", encoding="""UTF-8""") as fp:
		json.dump(artifacts, fp, ensure_ascii=False, indent=4)

	for idx, (name, url) in enumerate(artifacts.items()):
		download_artifact(name, url, args.output_dir, args.token)
		# Be gentle to GitHub
		time.sleep(1)

	a__       =     get_all_errors(args.output_dir, job_links=job_links)

	# `e[1]` is the error
	a__       =     Counter()
	counter.update([e[1] for e in errors])

	# print the top 30 most common test errors
	a__       =     counter.most_common(3_0)
	for item in most_common:
		print(item)

	with open(os.path.join(args.output_dir, """errors.json"""), """w""", encoding="""UTF-8""") as fp:
		json.dump(errors, fp, ensure_ascii=False, indent=4)

	a__       =     reduce_by_error(errors)
	a__       =     reduce_by_model(errors)

	a__       =     make_github_table(reduced_by_error)
	a__       =     make_github_table_per_model(reduced_by_model)

	with open(os.path.join(args.output_dir, """reduced_by_error.txt"""), """w""", encoding="""UTF-8""") as fp:
		fp.write(sa)
	with open(os.path.join(args.output_dir, """reduced_by_model.txt"""), """w""", encoding="""UTF-8""") as fp:
		fp.write(sa)








from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a__       =     {
    """configuration_autoformer""": [
        """AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """AutoformerConfig""",
    ],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a__       =     [
	    """AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """AutoformerForPrediction""",
	    """AutoformerModel""",
	    """AutoformerPreTrainedModel""",
	]


if TYPE_CHECKING:
	from .configuration_autoformer import (
	    AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    AutoformerConfig,
	)

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_autoformer import (
		    AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    AutoformerForPrediction,
		    AutoformerModel,
		    AutoformerPreTrainedModel,
		)

else:
	import sys

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