



"""simple docstring"""




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

import requests






def      lowerCAmelCase__		(   lowerCamelCase_		:		List[str]	,lowerCamelCase_		:		str=None):





				'''simple docstring'''

				lowerCAmelCase__					:    List[str]												=					None
				if token is not None:
								lowerCAmelCase__					:    Any												=					{"""Accept""": """application/vnd.github+json""", """Authorization""": f"""Bearer {token}"""}

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

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

								for i in range(snake_case_):
												lowerCAmelCase__					:    List[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__		(   lowerCamelCase_		:		Union[str, Any]	,lowerCamelCase_		:		List[str]=None):





				'''simple docstring'''

				lowerCAmelCase__					:    Optional[Any]												=					None
				if token is not None:
								lowerCAmelCase__					:    List[str]												=					{"""Accept""": """application/vnd.github+json""", """Authorization""": f"""Bearer {token}"""}

				lowerCAmelCase__					:    Optional[int]												=					f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100"""
				lowerCAmelCase__					:    Optional[int]												=					requests.get(snake_case_	,headers=snake_case_).json()
				lowerCAmelCase__					:    Any												=					{}

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

								for i in range(snake_case_):
												lowerCAmelCase__					:    Tuple												=					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__		(   lowerCamelCase_		:		Dict	,lowerCamelCase_		:		Dict	,lowerCamelCase_		:		Union[str, Any]	,lowerCamelCase_		:		Tuple):





				'''simple docstring'''

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

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






def      lowerCAmelCase__		(   lowerCamelCase_		:		Optional[Any]	,lowerCamelCase_		:		List[str]=None):





				'''simple docstring'''

				lowerCAmelCase__					:    Dict												=					[]
				lowerCAmelCase__					:    Optional[int]												=					[]
				lowerCAmelCase__					:    List[Any]												=					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:
																												lowerCAmelCase__					:    Union[str, Any]												=					line.decode('''UTF-8''').strip()
																												if filename == "failures_line.txt":
																																try:
																																				# `error_line` is the place where `error` occurs
																																				lowerCAmelCase__					:    Union[str, Any]												=					line[: line.index(''': ''')]
																																				lowerCAmelCase__					:    Optional[int]												=					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__					:    str												=					line[len('''FAILED ''') :]
																																failed_tests.append(snake_case_)
																												elif filename == "job_name.txt":
																																lowerCAmelCase__					:    int												=					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.''')

				lowerCAmelCase__					:    Any												=					None
				if job_name and job_links:
								lowerCAmelCase__					:    List[str]												=					job_links.get(snake_case_	,snake_case_)

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

				return result






def      lowerCAmelCase__		(   lowerCamelCase_		:		List[str]	,lowerCamelCase_		:		Tuple=None):





				'''simple docstring'''

				lowerCAmelCase__					:    Optional[int]												=					[]

				lowerCAmelCase__					:    Optional[int]												=					[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__		(   lowerCamelCase_		:		Optional[Any]	,lowerCamelCase_		:		Optional[Any]=None):





				'''simple docstring'''

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

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






def      lowerCAmelCase__		(   lowerCamelCase_		:		Dict):





				'''simple docstring'''

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

				return test






def      lowerCAmelCase__		(   lowerCamelCase_		:		Tuple	,lowerCamelCase_		:		List[str]=None):





				'''simple docstring'''

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

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

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






def      lowerCAmelCase__		(   lowerCamelCase_		:		Union[str, Any]):





				'''simple docstring'''

				lowerCAmelCase__					:    Union[str, Any]												=					"""| no. | error | status |"""
				lowerCAmelCase__					:    Any												=					"""|-:|:-|:-|"""
				lowerCAmelCase__					:    Optional[Any]												=					[header, sep]
				for error in reduced_by_error:
								lowerCAmelCase__					:    Optional[Any]												=					reduced_by_error[error]["""count"""]
								lowerCAmelCase__					:    List[str]												=					f"""| {count} | {error[:100]} |  |"""
								lines.append(snake_case_)

				return "\n".join(snake_case_)






def      lowerCAmelCase__		(   lowerCamelCase_		:		Dict):





				'''simple docstring'''

				lowerCAmelCase__					:    int												=					"""| model | no. of errors | major error | count |"""
				lowerCAmelCase__					:    Union[str, Any]												=					"""|-:|-:|-:|-:|"""
				lowerCAmelCase__					:    int												=					[header, sep]
				for model in reduced_by_model:
								lowerCAmelCase__					:    Tuple												=					reduced_by_model[model]["""count"""]
								lowerCAmelCase__					:    List[Any]												=					list(reduced_by_model[model]['''errors'''].items())[0]
								lowerCAmelCase__					:    Optional[int]												=					f"""| {model} | {count} | {error[:60]} | {_count} |"""
								lines.append(snake_case_)

				return "\n".join(snake_case_)


if __name__ == "__main__":
							__snake_case    :		int  =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.')
							__snake_case    :		Tuple  =parser.parse_args()

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

							__snake_case    :		Any  =get_job_links(args.workflow_run_id, token=args.token)
							__snake_case    :		int  ={}
							# 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:
																												__snake_case    :		List[Any]  =k.find(' / ')
																												__snake_case    :		Tuple  =k[index + len(' / ') :]
																					__snake_case    :		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)

							__snake_case    :		Any  =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)

							__snake_case    :		Optional[int]  =get_all_errors(args.output_dir, job_links=job_links)

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

							# print the top 30 most common test errors
							__snake_case    :		Dict  =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)

							__snake_case    :		str  =reduce_by_error(errors)
							__snake_case    :		str  =reduce_by_model(errors)

							__snake_case    :		List[Any]  =make_github_table(reduced_by_error)
							__snake_case    :		Tuple  =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)






import flax.linen as nn
import jax
import jax.numpy as jnp



class 	lowerCamelCase__      (							nn.Module):




		'''simple docstring'''



		snake_case_     =42
		snake_case_     =jnp.floataa



		def 		lowerCAmelCase__				(self			)					->      List[str]:

						"""simple docstring"""






						lowerCAmelCase__					:    Dict												=					nn.Conv(
						    self.out_channels		,kernel_size=(3, 3)		,strides=(1, 1)		,padding=((1, 1), (1, 1))		,dtype=self.dtype		,)



		def __call__(self		,__lowerCamelCase			)					->      Union[str, Any]:

						"""simple docstring"""






						lowerCAmelCase__						,		lowerCAmelCase__						,		lowerCAmelCase__						,		lowerCAmelCase__					:    Dict												=					hidden_states.shape
						lowerCAmelCase__					:    Dict												=					jax.image.resize(
						    __lowerCamelCase		,shape=(batch, height * 2, width * 2, channels)		,method='''nearest'''		,)
						lowerCAmelCase__					:    Dict												=					self.conv(__lowerCamelCase			)
						return hidden_states



class 	lowerCamelCase__      (							nn.Module):




		'''simple docstring'''



		snake_case_     =42
		snake_case_     =jnp.floataa



		def 		lowerCAmelCase__				(self			)					->      int:

						"""simple docstring"""






						lowerCAmelCase__					:    List[Any]												=					nn.Conv(
						    self.out_channels		,kernel_size=(3, 3)		,strides=(2, 2)		,padding=((1, 1), (1, 1))		,dtype=self.dtype		,)



		def __call__(self		,__lowerCamelCase			)					->      Any:

						"""simple docstring"""






						lowerCAmelCase__					:    Optional[int]												=					self.conv(__lowerCamelCase			)
						return hidden_states



class 	lowerCamelCase__      (							nn.Module):




		'''simple docstring'''



		snake_case_     =42
		snake_case_     =None
		snake_case_     =0.0
		snake_case_     =None
		snake_case_     =jnp.floataa



		def 		lowerCAmelCase__				(self			)					->      int:

						"""simple docstring"""






						lowerCAmelCase__					:    List[str]												=					self.in_channels if self.out_channels is None else self.out_channels

						lowerCAmelCase__					:    Union[str, Any]												=					nn.GroupNorm(num_groups=32		,epsilon=1e-5			)
						lowerCAmelCase__					:    Union[str, Any]												=					nn.Conv(
						    __lowerCamelCase		,kernel_size=(3, 3)		,strides=(1, 1)		,padding=((1, 1), (1, 1))		,dtype=self.dtype		,)

						lowerCAmelCase__					:    int												=					nn.Dense(__lowerCamelCase		,dtype=self.dtype			)

						lowerCAmelCase__					:    List[Any]												=					nn.GroupNorm(num_groups=32		,epsilon=1e-5			)
						lowerCAmelCase__					:    Union[str, Any]												=					nn.Dropout(self.dropout_prob			)
						lowerCAmelCase__					:    Optional[int]												=					nn.Conv(
						    __lowerCamelCase		,kernel_size=(3, 3)		,strides=(1, 1)		,padding=((1, 1), (1, 1))		,dtype=self.dtype		,)

						lowerCAmelCase__					:    str												=					self.in_channels != out_channels if self.use_nin_shortcut is None else self.use_nin_shortcut

						lowerCAmelCase__					:    Union[str, Any]												=					None
						if use_nin_shortcut:
										lowerCAmelCase__					:    Optional[Any]												=					nn.Conv(
										    __lowerCamelCase		,kernel_size=(1, 1)		,strides=(1, 1)		,padding='''VALID'''		,dtype=self.dtype		,)



		def __call__(self		,__lowerCamelCase		,__lowerCamelCase		,__lowerCamelCase=True			)					->      Union[str, Any]:

						"""simple docstring"""






						lowerCAmelCase__					:    Tuple												=					hidden_states
						lowerCAmelCase__					:    Dict												=					self.norma(__lowerCamelCase			)
						lowerCAmelCase__					:    Union[str, Any]												=					nn.swish(__lowerCamelCase			)
						lowerCAmelCase__					:    List[Any]												=					self.conva(__lowerCamelCase			)

						lowerCAmelCase__					:    List[Any]												=					self.time_emb_proj(nn.swish(__lowerCamelCase			)			)
						lowerCAmelCase__					:    Dict												=					jnp.expand_dims(jnp.expand_dims(__lowerCamelCase		,1			)		,1			)
						lowerCAmelCase__					:    Optional[int]												=					hidden_states + temb

						lowerCAmelCase__					:    Optional[int]												=					self.norma(__lowerCamelCase			)
						lowerCAmelCase__					:    Optional[int]												=					nn.swish(__lowerCamelCase			)
						lowerCAmelCase__					:    int												=					self.dropout(__lowerCamelCase		,__lowerCamelCase			)
						lowerCAmelCase__					:    List[Any]												=					self.conva(__lowerCamelCase			)

						if self.conv_shortcut is not None:
										lowerCAmelCase__					:    Optional[int]												=					self.conv_shortcut(__lowerCamelCase			)

						return hidden_states + residual

