

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

import requests

def        lowerCamelCase__       (    _a							,	_a=None):
	SCREAMING_SNAKE_CASE      :					str    =				None
	if token is not None:
		SCREAMING_SNAKE_CASE      :					Any    =				{'Accept': 'application/vnd.github+json', 'Authorization': f"Bearer {token}"}

	SCREAMING_SNAKE_CASE      :					Optional[int]    =				f"https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"
	SCREAMING_SNAKE_CASE      :					Tuple    =				requests.get(__snake_case							,	headers=__snake_case).json()
	SCREAMING_SNAKE_CASE      :					List[str]    =				{}

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

		for i in range(__snake_case):
			SCREAMING_SNAKE_CASE      :					Optional[Any]    =				requests.get(url + f"&page={i + 2}"							,	headers=__snake_case).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        lowerCamelCase__       (    _a							,	_a=None):
	SCREAMING_SNAKE_CASE      :					Tuple    =				None
	if token is not None:
		SCREAMING_SNAKE_CASE      :					List[str]    =				{'Accept': 'application/vnd.github+json', 'Authorization': f"Bearer {token}"}

	SCREAMING_SNAKE_CASE      :					List[Any]    =				f"https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100"
	SCREAMING_SNAKE_CASE      :					Dict    =				requests.get(__snake_case							,	headers=__snake_case).json()
	SCREAMING_SNAKE_CASE      :					Union[str, Any]    =				{}

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

		for i in range(__snake_case):
			SCREAMING_SNAKE_CASE      :					int    =				requests.get(url + f"&page={i + 2}"							,	headers=__snake_case).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        lowerCamelCase__       (    _a							,	_a							,	_a							,	_a):
	SCREAMING_SNAKE_CASE      :					List[Any]    =				None
	if token is not None:
		SCREAMING_SNAKE_CASE      :					int    =				{'Accept': 'application/vnd.github+json', 'Authorization': f"Bearer {token}"}

	SCREAMING_SNAKE_CASE      :					Optional[int]    =				requests.get(__snake_case							,	headers=__snake_case							,	allow_redirects=__snake_case)
	SCREAMING_SNAKE_CASE      :					Optional[int]    =				result.headers['Location']
	SCREAMING_SNAKE_CASE      :					Optional[Any]    =				requests.get(__snake_case							,	allow_redirects=__snake_case)
	SCREAMING_SNAKE_CASE      :					Dict    =				os.path.join(__snake_case							,	f"{artifact_name}.zip")
	with open(__snake_case							,	"wb") as fp:
		fp.write(response.content)

def        lowerCamelCase__       (    _a							,	_a=None):
	SCREAMING_SNAKE_CASE      :					List[str]    =				[]
	SCREAMING_SNAKE_CASE      :					Union[str, Any]    =				[]
	SCREAMING_SNAKE_CASE      :					Dict    =				None

	with zipfile.ZipFile(__snake_case) as z:
		for filename in z.namelist():
			if not os.path.isdir(__snake_case):
				# read the file
				if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
					with z.open(__snake_case) as f:
						for line in f:
							SCREAMING_SNAKE_CASE      :					int    =				line.decode("UTF-8").strip()
							if filename == "failures_line.txt":
								try:
									# `error_line` is the place where `error` occurs
									SCREAMING_SNAKE_CASE      :					Dict    =				line[: line.index(": ")]
									SCREAMING_SNAKE_CASE      :					List[str]    =				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
								SCREAMING_SNAKE_CASE      :					List[str]    =				line[len("FAILED ") :]
								failed_tests.append(__snake_case)
							elif filename == "job_name.txt":
								SCREAMING_SNAKE_CASE      :					str    =				line

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

	SCREAMING_SNAKE_CASE      :					Optional[Any]    =				None
	if job_name and job_links:
		SCREAMING_SNAKE_CASE      :					Tuple    =				job_links.get(__snake_case							,	__snake_case)

	# A list with elements of the form (line of error, error, failed test)
	SCREAMING_SNAKE_CASE      :					Union[str, Any]    =				[x + [y] + [job_link] for x, y in zip(__snake_case							,	__snake_case)]

	return result

def        lowerCamelCase__       (    _a							,	_a=None):
	SCREAMING_SNAKE_CASE      :					Any    =				[]

	SCREAMING_SNAKE_CASE      :					Union[str, Any]    =				[os.path.join(__snake_case							,	__snake_case) for p in os.listdir(__snake_case) if p.endswith(".zip")]
	for p in paths:
		errors.extend(get_errors_from_single_artifact(__snake_case							,	job_links=__snake_case))

	return errors

def        lowerCamelCase__       (    _a							,	_a=None):
	SCREAMING_SNAKE_CASE      :					Union[str, Any]    =				Counter()
	counter.update([x[1] for x in logs])
	SCREAMING_SNAKE_CASE      :					Any    =				counter.most_common()
	SCREAMING_SNAKE_CASE      :					Dict    =				{}
	for error, count in counts:
		if error_filter is None or error not in error_filter:
			SCREAMING_SNAKE_CASE      :					Optional[Any]    =				{'count': count, 'failed_tests': [(x[2], x[0]) for x in logs if x[1] == error]}

	SCREAMING_SNAKE_CASE      :					Tuple    =				dict(sorted(r.items()							,	key=lambda _a: item[1]["count"]							,	reverse=__snake_case))
	return r

def        lowerCamelCase__       (    _a):
	SCREAMING_SNAKE_CASE      :					Any    =				test.split("::")[0]
	if test.startswith("tests/models/"):
		SCREAMING_SNAKE_CASE      :					Dict    =				test.split("/")[2]
	else:
		SCREAMING_SNAKE_CASE      :					Optional[Any]    =				None

	return test

def        lowerCamelCase__       (    _a							,	_a=None):
	SCREAMING_SNAKE_CASE      :					Dict    =				[(x[0], x[1], get_model(x[2])) for x in logs]
	SCREAMING_SNAKE_CASE      :					Optional[Any]    =				[x for x in logs if x[2] is not None]
	SCREAMING_SNAKE_CASE      :					int    =				{x[2] for x in logs}

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

	SCREAMING_SNAKE_CASE      :					Union[str, Any]    =				dict(sorted(r.items()							,	key=lambda _a: item[1]["count"]							,	reverse=__snake_case))
	return r

def        lowerCamelCase__       (    _a):
	SCREAMING_SNAKE_CASE      :					Union[str, Any]    =				'| no. | error | status |'
	SCREAMING_SNAKE_CASE      :					Tuple    =				'|-:|:-|:-|'
	SCREAMING_SNAKE_CASE      :					List[str]    =				[header, sep]
	for error in reduced_by_error:
		SCREAMING_SNAKE_CASE      :					Tuple    =				reduced_by_error[error]['count']
		SCREAMING_SNAKE_CASE      :					Optional[Any]    =				f"| {count} | {error[:100]} |  |"
		lines.append(__snake_case)

	return "\n".join(__snake_case)

def        lowerCamelCase__       (    _a):
	SCREAMING_SNAKE_CASE      :					List[Any]    =				'| model | no. of errors | major error | count |'
	SCREAMING_SNAKE_CASE      :					Tuple    =				'|-:|-:|-:|-:|'
	SCREAMING_SNAKE_CASE      :					Any    =				[header, sep]
	for model in reduced_by_model:
		SCREAMING_SNAKE_CASE      :					Dict    =				reduced_by_model[model]['count']
		SCREAMING_SNAKE_CASE      :					str    =				list(reduced_by_model[model]["errors"].items())[0]
		SCREAMING_SNAKE_CASE      :					Optional[Any]    =				f"| {model} | {count} | {error[:60]} | {_count} |"
		lines.append(__snake_case)

	return "\n".join(__snake_case)


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(30)
			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)






'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase__    :      List[str]						=    {
    '''configuration_git''': ['''GIT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GitConfig''', '''GitVisionConfig'''],
    '''processing_git''': ['''GitProcessor'''],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase__    :      Any						=    [
      '''GIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
      '''GitForCausalLM''',
      '''GitModel''',
      '''GitPreTrainedModel''',
      '''GitVisionModel''',
  ]

if TYPE_CHECKING:
  from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
  from .processing_git import GitProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_git import (
        GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
        GitForCausalLM,
        GitModel,
        GitPreTrainedModel,
        GitVisionModel,
    )

else:
  import sys

  lowercase__    :      List[str]						=    _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)