






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

import requests





def 	lowerCAmelCase_		(lowercase__						:       int     ,					lowercase__						:       Any=None       )		->    Optional[Any]:


				'''simple docstring'''




				lowerCAmelCase__      			=						None
				if token is not None:
								lowerCAmelCase__      			=						{'''Accept''': '''application/vnd.github+json''', '''Authorization''': f'Bearer {token}'}

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

				try:
								job_links.update({job['''name''']: job['''html_url'''] for job in result['''jobs''']}       )
								lowerCAmelCase__      			=						math.ceil((result['''total_count'''] - 1_00) / 1_00       )

								for i in range(lowercase__       ):
												lowerCAmelCase__      			=						requests.get(url + f'&page={i + 2}'     ,					headers=lowercase__       ).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_		(lowercase__						:       int     ,					lowercase__						:       Optional[Any]=None       )		->    List[Any]:


				'''simple docstring'''




				lowerCAmelCase__      			=						None
				if token is not None:
								lowerCAmelCase__      			=						{'''Accept''': '''application/vnd.github+json''', '''Authorization''': f'Bearer {token}'}

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

				try:
								artifacts.update({artifact['''name''']: artifact['''archive_download_url'''] for artifact in result['''artifacts''']}       )
								lowerCAmelCase__      			=						math.ceil((result['''total_count'''] - 1_00) / 1_00       )

								for i in range(lowercase__       ):
												lowerCAmelCase__      			=						requests.get(url + f'&page={i + 2}'     ,					headers=lowercase__       ).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_		(lowercase__						:       Tuple     ,					lowercase__						:       List[str]     ,					lowercase__						:       List[str]     ,					lowercase__						:       Optional[Any]       )		->    str:


				'''simple docstring'''




				lowerCAmelCase__      			=						None
				if token is not None:
								lowerCAmelCase__      			=						{'''Accept''': '''application/vnd.github+json''', '''Authorization''': f'Bearer {token}'}

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





def 	lowerCAmelCase_		(lowercase__						:       List[Any]     ,					lowercase__						:       Dict=None       )		->    Any:


				'''simple docstring'''




				lowerCAmelCase__      			=						[]
				lowerCAmelCase__      			=						[]
				lowerCAmelCase__      			=						None

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

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

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

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

				return result





def 	lowerCAmelCase_		(lowercase__						:       str     ,					lowercase__						:       Optional[int]=None       )		->    Dict:


				'''simple docstring'''




				lowerCAmelCase__      			=						[]

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

				return errors





def 	lowerCAmelCase_		(lowercase__						:       Any     ,					lowercase__						:       Any=None       )		->    Dict:


				'''simple docstring'''




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

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





def 	lowerCAmelCase_		(lowercase__						:       List[Any]       )		->    List[str]:


				'''simple docstring'''




				lowerCAmelCase__      			=						test.split('''::'''       )[0]
				if test.startswith('''tests/models/'''       ):
								lowerCAmelCase__      			=						test.split('''/'''       )[2]
				else:
								lowerCAmelCase__      			=						None

				return test





def 	lowerCAmelCase_		(lowercase__						:       int     ,					lowercase__						:       List[str]=None       )		->    str:


				'''simple docstring'''




				lowerCAmelCase__      			=						[(x[0], x[1], get_model(x[2]       )) for x in logs]
				lowerCAmelCase__      			=						[x for x in logs if x[2] is not None]
				lowerCAmelCase__      			=						{x[2] for x in logs}

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

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





def 	lowerCAmelCase_		(lowercase__						:       Optional[Any]       )		->    List[Any]:


				'''simple docstring'''




				lowerCAmelCase__      			=						'''| no. | error | status |'''
				lowerCAmelCase__      			=						'''|-:|:-|:-|'''
				lowerCAmelCase__      			=						[header, sep]
				for error in reduced_by_error:
								lowerCAmelCase__      			=						reduced_by_error[error]['''count''']
								lowerCAmelCase__      			=						f'| {count} | {error[:1_00]} |  |'
								lines.append(lowercase__       )

				return "\n".join(lowercase__       )





def 	lowerCAmelCase_		(lowercase__						:       int       )		->    Dict:


				'''simple docstring'''




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

				return "\n".join(lowercase__       )


if __name__ == "__main__":
			_UpperCAmelCase			:		Any   				=    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.")
			_UpperCAmelCase			:		Optional[Any]   				=    parser.parse_args()

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

			_UpperCAmelCase			:		List[Any]   				=    get_job_links(args.workflow_run_id, token=args.token)
			_UpperCAmelCase			:		List[str]   				=    {}
			# 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:
												_UpperCAmelCase			:		Dict   				=    k.find(" / ")
												_UpperCAmelCase			:		Dict   				=    k[index + len(" / ") :]
									_UpperCAmelCase			:		Optional[Any]   				=    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)

			_UpperCAmelCase			:		int   				=    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)

			_UpperCAmelCase			:		str   				=    get_all_errors(args.output_dir, job_links=job_links)

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

			# print the top 30 most common test errors
			_UpperCAmelCase			:		Optional[int]   				=    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)

			_UpperCAmelCase			:		Any   				=    reduce_by_error(errors)
			_UpperCAmelCase			:		Union[str, Any]   				=    reduce_by_model(errors)

			_UpperCAmelCase			:		List[Any]   				=    make_github_table(reduced_by_error)
			_UpperCAmelCase			:		Optional[int]   				=    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

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


_UpperCAmelCase			:		str   				=    {
    "configuration_blenderbot_small": [
        "BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlenderbotSmallConfig",
        "BlenderbotSmallOnnxConfig",
    ],
    "tokenization_blenderbot_small": ["BlenderbotSmallTokenizer"],
}

try:
			if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_UpperCAmelCase			:		List[str]   				=    ["BlenderbotSmallTokenizerFast"]

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_UpperCAmelCase			:		List[str]   				=    [
			    "BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST",
			    "BlenderbotSmallForCausalLM",
			    "BlenderbotSmallForConditionalGeneration",
			    "BlenderbotSmallModel",
			    "BlenderbotSmallPreTrainedModel",
			]

try:
			if not is_tf_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_UpperCAmelCase			:		Dict   				=    [
			    "TFBlenderbotSmallForConditionalGeneration",
			    "TFBlenderbotSmallModel",
			    "TFBlenderbotSmallPreTrainedModel",
			]

try:
			if not is_flax_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_UpperCAmelCase			:		List[str]   				=    [
			    "FlaxBlenderbotSmallForConditionalGeneration",
			    "FlaxBlenderbotSmallModel",
			    "FlaxBlenderbotSmallPreTrainedModel",
			]

if TYPE_CHECKING:
			from .configuration_blenderbot_small import (
			    BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
			    BlenderbotSmallConfig,
			    BlenderbotSmallOnnxConfig,
			)
			from .tokenization_blenderbot_small import BlenderbotSmallTokenizer

			try:
						if not is_tokenizers_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_blenderbot_small_fast import BlenderbotSmallTokenizerFast

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_blenderbot_small import (
						    BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,
						    BlenderbotSmallForCausalLM,
						    BlenderbotSmallForConditionalGeneration,
						    BlenderbotSmallModel,
						    BlenderbotSmallPreTrainedModel,
						)

			try:
						if not is_tf_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tf_blenderbot_small import (
						    TFBlenderbotSmallForConditionalGeneration,
						    TFBlenderbotSmallModel,
						    TFBlenderbotSmallPreTrainedModel,
						)

			try:
						if not is_flax_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_flax_blenderbot_small import (
						    FlaxBlenderbotSmallForConditionalGeneration,
						    FlaxBlenderbotSmallModel,
						    FlaxBlenderbotSmallPreTrainedModel,
						)

else:
			import sys

			_UpperCAmelCase			:		int   				=    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





