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

import requests





def       lowerCAmelCase					(		UpperCamelCase__				:   Union[str, Any]    ,					UpperCamelCase__				:   Union[str, Any]=None       ):


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

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

	try:
		job_links.update({job['''name''']: job['''html_url'''] for job in result['''jobs''']}       )
		__UpperCAmelCase							=			math.ceil((result['''total_count'''] - 1_0_0) / 1_0_0       )

		for i in range(SCREAMING_SNAKE_CASE_       ):
			__UpperCAmelCase							=			requests.get(url + f"""&page={i + 2}"""    ,					headers=SCREAMING_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					(		UpperCamelCase__				:   List[str]    ,					UpperCamelCase__				:   Tuple=None       ):


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

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

	try:
		artifacts.update({artifact['''name''']: artifact['''archive_download_url'''] for artifact in result['''artifacts''']}       )
		__UpperCAmelCase							=			math.ceil((result['''total_count'''] - 1_0_0) / 1_0_0       )

		for i in range(SCREAMING_SNAKE_CASE_       ):
			__UpperCAmelCase							=			requests.get(url + f"""&page={i + 2}"""    ,					headers=SCREAMING_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					(		UpperCamelCase__				:   Dict    ,					UpperCamelCase__				:   List[str]    ,					UpperCamelCase__				:   Tuple    ,					UpperCamelCase__				:   Union[str, Any]       ):


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

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





def       lowerCAmelCase					(		UpperCamelCase__				:   int    ,					UpperCamelCase__				:   List[Any]=None       ):


	"""simple docstring"""
	__UpperCAmelCase							=			[]
	__UpperCAmelCase							=			[]
	__UpperCAmelCase							=			None

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

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

	__UpperCAmelCase							=			None
	if job_name and job_links:
		__UpperCAmelCase							=			job_links.get(SCREAMING_SNAKE_CASE_    ,					SCREAMING_SNAKE_CASE_       )

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

	return result





def       lowerCAmelCase					(		UpperCamelCase__				:   Optional[Any]    ,					UpperCamelCase__				:   Any=None       ):


	"""simple docstring"""
	__UpperCAmelCase							=			[]

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

	return errors





def       lowerCAmelCase					(		UpperCamelCase__				:   Union[str, Any]    ,					UpperCamelCase__				:   Tuple=None       ):


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

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





def       lowerCAmelCase					(		UpperCamelCase__				:   Optional[Any]       ):


	"""simple docstring"""
	__UpperCAmelCase							=			test.split('''::'''       )[0]
	if test.startswith('''tests/models/'''       ):
		__UpperCAmelCase							=			test.split('''/'''       )[2]
	else:
		__UpperCAmelCase							=			None

	return test





def       lowerCAmelCase					(		UpperCamelCase__				:   Tuple    ,					UpperCamelCase__				:   Any=None       ):


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

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

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





def       lowerCAmelCase					(		UpperCamelCase__				:   int       ):


	"""simple docstring"""
	__UpperCAmelCase							=			'''| no. | error | status |'''
	__UpperCAmelCase							=			'''|-:|:-|:-|'''
	__UpperCAmelCase							=			[header, sep]
	for error in reduced_by_error:
		__UpperCAmelCase							=			reduced_by_error[error]['''count''']
		__UpperCAmelCase							=			f"""| {count} | {error[:1_0_0]} |  |"""
		lines.append(SCREAMING_SNAKE_CASE_       )

	return "\n".join(SCREAMING_SNAKE_CASE_       )





def       lowerCAmelCase					(		UpperCamelCase__				:   Dict       ):


	"""simple docstring"""
	__UpperCAmelCase							=			'''| model | no. of errors | major error | count |'''
	__UpperCAmelCase							=			'''|-:|-:|-:|-:|'''
	__UpperCAmelCase							=			[header, sep]
	for model in reduced_by_model:
		__UpperCAmelCase							=			reduced_by_model[model]['''count''']
		__UpperCAmelCase				,			__UpperCAmelCase							=			list(reduced_by_model[model]['''errors'''].items()       )[0]
		__UpperCAmelCase							=			f"""| {model} | {count} | {error[:6_0]} | {_count} |"""
		lines.append(SCREAMING_SNAKE_CASE_       )

	return "\n".join(SCREAMING_SNAKE_CASE_       )


if __name__ == "__main__":
					__lowerCAmelCase	:       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.")
					__lowerCAmelCase	:       str						       =	parser.parse_args()

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

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

					__lowerCAmelCase	:       List[str]						       =	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)

					__lowerCAmelCase	:       List[str]						       =	get_all_errors(args.output_dir, job_links=job_links)

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

					# print the top 30 most common test errors
					__lowerCAmelCase	:       List[str]						       =	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)

					__lowerCAmelCase	:       Optional[Any]						       =	reduce_by_error(errors)
					__lowerCAmelCase	:       Optional[int]						       =	reduce_by_model(errors)

					__lowerCAmelCase	:       Optional[int]						       =	make_github_table(reduced_by_error)
					__lowerCAmelCase	:       Optional[Any]						       =	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'''


import ast
import os
import re
import shutil
import tempfile
import unittest
from unittest import mock

import torch

from accelerate.test_utils.examples import compare_against_test
from accelerate.test_utils.testing import TempDirTestCase, require_trackers, run_command, slow
from accelerate.utils import write_basic_config


# DataLoaders built from `test_samples/MRPC` for quick testing
# Should mock `{script_name}.get_dataloaders` via:
# @mock.patch("{script_name}.get_dataloaders", mocked_dataloaders)

__lowerCAmelCase	:       Optional[int]						       =	[
    "cross_validation.py",
    "gradient_accumulation.py",
    "local_sgd.py",
    "multi_process_metrics.py",
    "memory.py",
    "automatic_gradient_accumulation.py",
    "fsdp_with_peak_mem_tracking.py",
    "deepspeed_with_config_support.py",
    "megatron_lm_gpt_pretraining.py",
]






class 						A   (   unittest.TestCase   ):





							def       snake_case__						(      self				:							Any     ,		__a				:							str     ,		__a				:							bool     ,		__a				:							str = None     ,		__a				:							list = None	)							->	Tuple:
								__UpperCAmelCase							=			None
								__UpperCAmelCase							=			os.path.abspath(os.path.join('''examples'''     ,		'''by_feature'''	)	)
								__UpperCAmelCase							=			os.path.abspath('''examples'''	)
								for item in os.listdir(__a	):
									if item not in EXCLUDE_EXAMPLES:
										__UpperCAmelCase							=			os.path.join(__a     ,		__a	)
										if os.path.isfile(__a	) and ".py" in item_path:
											with self.subTest(
											    tested_script=__a     ,		feature_script=__a     ,		tested_section='''main()''' if parser_only else '''training_function()'''     ,		):
												__UpperCAmelCase							=			compare_against_test(
												    os.path.join(__a     ,		__a	)     ,		__a     ,		__a     ,		__a	)
												__UpperCAmelCase							=			'''\n'''.join(__a	)
												if special_strings is not None:
													for string in special_strings:
														__UpperCAmelCase							=			diff.replace(__a     ,		''''''	)
												self.assertEqual(__a     ,		''''''	)





							def       snake_case__						(      self				:							Optional[Any]	)							->	str:
								self.one_complete_example('''complete_nlp_example.py'''     ,		__a	)
								self.one_complete_example('''complete_nlp_example.py'''     ,		__a	)






							def       snake_case__						(      self				:							List[str]	)							->	Tuple:
								__UpperCAmelCase							=			os.path.abspath(os.path.join('''examples'''     ,		'''cv_example.py'''	)	)
								__UpperCAmelCase							=			[
								    ''' ''' * 1_6 + '''{\n\n''',
								    ''' ''' * 2_0 + '''"accuracy": eval_metric["accuracy"],\n\n''',
								    ''' ''' * 2_0 + '''"f1": eval_metric["f1"],\n\n''',
								    ''' ''' * 2_0 + '''"train_loss": total_loss.item() / len(train_dataloader),\n\n''',
								    ''' ''' * 2_0 + '''"epoch": epoch,\n\n''',
								    ''' ''' * 1_6 + '''},\n\n''',
								    ''' ''' * 1_6 + '''step=epoch,\n''',
								    ''' ''' * 1_2,
								    ''' ''' * 8 + '''for step, batch in enumerate(active_dataloader):\n''',
								]
								self.one_complete_example('''complete_cv_example.py'''     ,		__a     ,		__a     ,		__a	)
								self.one_complete_example('''complete_cv_example.py'''     ,		__a     ,		__a     ,		__a	)






@mock.patch.dict(os.environ       ,	{'''TESTING_MOCKED_DATALOADERS''': '''1'''}   )
class 						A   (   UpperCAmelCase   ):
							a_        =      False





							@classmethod
							def       snake_case__						(      cls				:							Tuple	)							->	str:
								super().setUpClass()
								__UpperCAmelCase							=			tempfile.mkdtemp()
								__UpperCAmelCase							=			os.path.join(cls._tmpdir     ,		'''default_config.yml'''	)

								write_basic_config(save_location=cls.configPath	)
								__UpperCAmelCase							=			['''accelerate''', '''launch''', '''--config_file''', cls.configPath]





							@classmethod
							def       snake_case__						(      cls				:							Dict	)							->	int:
								super().tearDownClass()
								shutil.rmtree(cls._tmpdir	)





							def       snake_case__						(      self				:							Tuple	)							->	Dict:
								__UpperCAmelCase							=			f"""
        examples/by_feature/checkpointing.py
        --checkpointing_steps epoch
        --output_dir {self.tmpdir}
        """.split()
								run_command(self._launch_args + testargs	)
								self.assertTrue(os.path.exists(os.path.join(self.tmpdir     ,		'''epoch_0'''	)	)	)





							def       snake_case__						(      self				:							str	)							->	int:
								__UpperCAmelCase							=			f"""
        examples/by_feature/checkpointing.py
        --checkpointing_steps 1
        --output_dir {self.tmpdir}
        """.split()
								__UpperCAmelCase							=			run_command(self._launch_args + testargs	)
								self.assertTrue(os.path.exists(os.path.join(self.tmpdir     ,		'''step_2'''	)	)	)





							def       snake_case__						(      self				:							Any	)							->	Any:
								__UpperCAmelCase							=			f"""
        examples/by_feature/checkpointing.py
        --resume_from_checkpoint {os.path.join(self.tmpdir     ,		'epoch_0'	)}
        """.split()
								__UpperCAmelCase							=			run_command(self._launch_args + testargs     ,		return_stdout=__a	)
								self.assertNotIn('''epoch 0:'''     ,		__a	)
								self.assertIn('''epoch 1:'''     ,		__a	)





							def       snake_case__						(      self				:							Tuple	)							->	Optional[int]:
								__UpperCAmelCase							=			f"""
        examples/by_feature/checkpointing.py
        --resume_from_checkpoint {os.path.join(self.tmpdir     ,		'step_2'	)}
        """.split()
								__UpperCAmelCase							=			run_command(self._launch_args + testargs     ,		return_stdout=__a	)
								if torch.cuda.is_available():
									__UpperCAmelCase							=			torch.cuda.device_count()
								else:
									__UpperCAmelCase							=			1
								if num_processes > 1:
									self.assertNotIn('''epoch 0:'''     ,		__a	)
									self.assertIn('''epoch 1:'''     ,		__a	)
								else:
									self.assertIn('''epoch 0:'''     ,		__a	)
									self.assertIn('''epoch 1:'''     ,		__a	)





							@slow
							def       snake_case__						(      self				:							Any	)							->	Optional[Any]:
								__UpperCAmelCase							=			'''
        examples/by_feature/cross_validation.py
        --num_folds 2
        '''.split()
								with mock.patch.dict(os.environ     ,		{'''TESTING_MOCKED_DATALOADERS''': '''0'''}	):
									__UpperCAmelCase							=			run_command(self._launch_args + testargs     ,		return_stdout=__a	)
									__UpperCAmelCase							=			re.findall('''({.+})'''     ,		__a	)
									__UpperCAmelCase							=			[r for r in results if '''accuracy''' in r][-1]
									__UpperCAmelCase							=			ast.literal_eval(__a	)
									self.assertGreaterEqual(results['''accuracy''']     ,		0.7_5	)





							def       snake_case__						(      self				:							Dict	)							->	int:
								__UpperCAmelCase							=			['''examples/by_feature/multi_process_metrics.py''']
								run_command(self._launch_args + testargs	)





							@require_trackers
							@mock.patch.dict(os.environ     ,		{'''WANDB_MODE''': '''offline'''}	)
							def       snake_case__						(      self				:							Optional[Any]	)							->	Optional[int]:
								with tempfile.TemporaryDirectory() as tmpdir:
									__UpperCAmelCase							=			f"""
            examples/by_feature/tracking.py
            --with_tracking
            --project_dir {tmpdir}
            """.split()
									run_command(self._launch_args + testargs	)
									self.assertTrue(os.path.exists(os.path.join(__a     ,		'''tracking'''	)	)	)





							def       snake_case__						(      self				:							Optional[int]	)							->	List[Any]:
								__UpperCAmelCase							=			['''examples/by_feature/gradient_accumulation.py''']
								run_command(self._launch_args + testargs	)






							def       snake_case__						(      self				:							Tuple	)							->	Optional[Any]:
								__UpperCAmelCase							=			['''examples/by_feature/local_sgd.py''']
								run_command(self._launch_args + testargs	)
