



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

import requests



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_=None					):
			lowercase__   					=			None
			if token is not None:
						lowercase__   					=			{"Accept": "application/vnd.github+json", "Authorization": f'''Bearer {token}'''}

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

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

						for i in range(__lowerCAmelCase					):
									lowercase__   					=			requests.get(url + f'''&page={i + 2}'''  ,					headers=__lowerCAmelCase					).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	(       SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_=None					):
			lowercase__   					=			None
			if token is not None:
						lowercase__   					=			{"Accept": "application/vnd.github+json", "Authorization": f'''Bearer {token}'''}

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

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

						for i in range(__lowerCAmelCase					):
									lowercase__   					=			requests.get(url + f'''&page={i + 2}'''  ,					headers=__lowerCAmelCase					).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	(       SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_					):
			lowercase__   					=			None
			if token is not None:
						lowercase__   					=			{"Accept": "application/vnd.github+json", "Authorization": f'''Bearer {token}'''}

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



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_=None					):
			lowercase__   					=			[]
			lowercase__   					=			[]
			lowercase__   					=			None

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

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

			lowercase__   					=			None
			if job_name and job_links:
						lowercase__   					=			job_links.get(__lowerCAmelCase  ,					__lowerCAmelCase					)

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

			return result



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_=None					):
			lowercase__   					=			[]

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

			return errors



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_=None					):
			lowercase__   					=			Counter()
			counter.update([x[1] for x in logs]					)
			lowercase__   					=			counter.most_common()
			lowercase__   					=			{}
			for error, count in counts:
						if error_filter is None or error not in error_filter:
									lowercase__   					=			{"count": count, "failed_tests": [(x[2], x[0]) for x in logs if x[1] == error]}

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



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_					):
			lowercase__   					=			test.split("::"					)[0]
			if test.startswith("tests/models/"					):
						lowercase__   					=			test.split("/"					)[2]
			else:
						lowercase__   					=			None

			return test



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_=None					):
			lowercase__   					=			[(x[0], x[1], get_model(x[2]					)) for x in logs]
			lowercase__   					=			[x for x in logs if x[2] is not None]
			lowercase__   					=			{x[2] for x in logs}

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

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



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_					):
			lowercase__   					=			"| no. | error | status |"
			lowercase__   					=			"|-:|:-|:-|"
			lowercase__   					=			[header, sep]
			for error in reduced_by_error:
						lowercase__   					=			reduced_by_error[error]["count"]
						lowercase__   					=			f'''| {count} | {error[:100]} |  |'''
						lines.append(__lowerCAmelCase					)

			return "\n".join(__lowerCAmelCase					)



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_					):
			lowercase__   					=			"| model | no. of errors | major error | count |"
			lowercase__   					=			"|-:|-:|-:|-:|"
			lowercase__   					=			[header, sep]
			for model in reduced_by_model:
						lowercase__   					=			reduced_by_model[model]["count"]
						lowercase__					,    lowercase__   					=			list(reduced_by_model[model]["errors"].items()					)[0]
						lowercase__   					=			f'''| {model} | {count} | {error[:60]} | {_count} |'''
						lines.append(__lowerCAmelCase					)

			return "\n".join(__lowerCAmelCase					)


if __name__ == "__main__":
							lowercase_						=       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.""")
							lowercase_						=       parser.parse_args()

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

							lowercase_						=       get_job_links(args.workflow_run_id, token=args.token)
							lowercase_						=       {}
							# 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:
																												lowercase_						=       k.find(""" / """)
																												lowercase_						=       k[index + len(""" / """) :]
																					lowercase_						=       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)

							lowercase_						=       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)

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

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

							# print the top 30 most common test errors
							lowercase_						=       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)

							lowercase_						=       reduce_by_error(errors)
							lowercase_						=       reduce_by_model(errors)

							lowercase_						=       make_github_table(reduced_by_error)
							lowercase_						=       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 ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase_						=       logging.get_logger(__name__)

lowercase_						=       {
    """facebook/dpr-ctx_encoder-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-ctx_encoder-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-question_encoder-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-question_encoder-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-reader-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-reader-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-ctx_encoder-multiset-base""": (
        """https://huggingface.co/facebook/dpr-ctx_encoder-multiset-base/resolve/main/config.json"""
    ),
    """facebook/dpr-question_encoder-multiset-base""": (
        """https://huggingface.co/facebook/dpr-question_encoder-multiset-base/resolve/main/config.json"""
    ),
    """facebook/dpr-reader-multiset-base""": (
        """https://huggingface.co/facebook/dpr-reader-multiset-base/resolve/main/config.json"""
    ),
}
class 			_snake_case     (   lowercase__):
				UpperCamelCase__			:   str       						="""dpr"""




				def __init__(  self   :  int,   __lowercase   :  List[str]=3_0522,   __lowercase   :  Any=768,   __lowercase   :  Union[str, Any]=12,   __lowercase   :  Optional[int]=12,   __lowercase   :  List[Any]=3072,   __lowercase   :  List[str]="gelu",   __lowercase   :  Union[str, Any]=0.1,   __lowercase   :  str=0.1,   __lowercase   :  List[str]=512,   __lowercase   :  Optional[int]=2,   __lowercase   :  Dict=0.02,   __lowercase   :  Any=1e-1_2,   __lowercase   :  List[Any]=0,   __lowercase   :  str="absolute",   __lowercase   :  int = 0,   **__lowercase   :  str,   ):
							super().__init__(pad_token_id=__lowercase,   **__lowercase  )

							lowercase__   					=			vocab_size
							lowercase__   					=			hidden_size
							lowercase__   					=			num_hidden_layers
							lowercase__   					=			num_attention_heads
							lowercase__   					=			hidden_act
							lowercase__   					=			intermediate_size
							lowercase__   					=			hidden_dropout_prob
							lowercase__   					=			attention_probs_dropout_prob
							lowercase__   					=			max_position_embeddings
							lowercase__   					=			type_vocab_size
							lowercase__   					=			initializer_range
							lowercase__   					=			layer_norm_eps
							lowercase__   					=			projection_dim
							lowercase__   					=			position_embedding_type




