


'''simple docstring'''



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

import requests


def 				lowerCamelCase__				(	A       :      int				,       A       :      Dict=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(lowerCAmelCase__				,       headers=lowerCAmelCase__					).json()
						UpperCAmelCase					    =     {}

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

												for i in range(lowerCAmelCase__					):
																		UpperCAmelCase					    =     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__				(	A       :      List[str]				,       A       :      Optional[int]=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(lowerCAmelCase__				,       headers=lowerCAmelCase__					).json()
						UpperCAmelCase					    =     {}

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

												for i in range(lowerCAmelCase__					):
																		UpperCAmelCase					    =     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__				(	A       :      Dict				,       A       :      List[Any]				,       A       :      Any				,       A       :      Optional[int]					):




						'''simple docstring'''






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

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


def 				lowerCamelCase__				(	A       :      Union[str, Any]				,       A       :      Dict=None					):




						'''simple docstring'''






						UpperCAmelCase					    =     []
						UpperCAmelCase					    =     []
						UpperCAmelCase					    =     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:
																																										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(lowerCAmelCase__					)
																																										elif filename == "job_name.txt":
																																																UpperCAmelCase					    =     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.'''					)

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

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

						return result


def 				lowerCamelCase__				(	A       :      str				,       A       :      Optional[int]=None					):




						'''simple docstring'''






						UpperCAmelCase					    =     []

						UpperCAmelCase					    =     [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__				(	A       :      Any				,       A       :      Union[str, Any]=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 A					: item[1]["count"]				,       reverse=lowerCAmelCase__					)					)
						return r


def 				lowerCamelCase__				(	A       :      Optional[Any]					):




						'''simple docstring'''






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

						return test


def 				lowerCamelCase__				(	A       :      int				,       A       :      List[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 A					: item[1]["count"]				,       reverse=lowerCAmelCase__					)					)
						return r


def 				lowerCamelCase__				(	A       :      Union[str, Any]					):




						'''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_00]} |  |"""
												lines.append(lowerCAmelCase__					)

						return "\n".join(lowerCAmelCase__					)


def 				lowerCamelCase__				(	A       :      int					):




						'''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[:60]} | {_count} |"""
												lines.append(lowerCAmelCase__					)

						return "\n".join(lowerCAmelCase__					)


if __name__ == "__main__":
	_lowercase      :      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.""")
	_lowercase      :      Union[str, Any]            =					parser.parse_args()

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

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

	_lowercase      :      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)

	_lowercase      :      Union[str, Any]            =					get_all_errors(args.output_dir, job_links=job_links)

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

	# print the top 30 most common test errors
	_lowercase      :      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)

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

	_lowercase      :      int            =					make_github_table(reduced_by_error)
	_lowercase      :      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)









'''simple docstring'''



import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
	from transformers.pipelines.conversational import Conversation


_lowercase      :      Optional[Any]            =					logging.get_logger(__name__)

_lowercase      :      List[str]            =					{"""tokenizer_file""": """tokenizer.json"""}

_lowercase      :      Optional[Any]            =					{
    """tokenizer_file""": {
        """bigscience/tokenizer""": """https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json""",
        """bigscience/bloom-560m""": """https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json""",
        """bigscience/bloom-1b1""": """https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json""",
        """bigscience/bloom-1b7""": """https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json""",
        """bigscience/bloom-3b""": """https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json""",
        """bigscience/bloom-7b1""": """https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json""",
        """bigscience/bloom""": """https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json""",
    },
}






class 	UpperCamelCase__(       lowerCAmelCase	):
				__magic_name__    :				List[str]  		=	VOCAB_FILES_NAMES
				__magic_name__    :				Optional[int]  		=	PRETRAINED_VOCAB_FILES_MAP
				__magic_name__    :				Any  		=	["input_ids", "attention_mask"]
				__magic_name__    :				Optional[int]  		=	None




				def __init__(		self      :			List[Any]				,   lowerCAmelCase      :			str=None				,   lowerCAmelCase      :			Tuple=None				,   lowerCAmelCase      :			str=None				,   lowerCAmelCase      :			Optional[int]="<unk>"				,   lowerCAmelCase      :			int="<s>"				,   lowerCAmelCase      :			Dict="</s>"				,   lowerCAmelCase      :			Union[str, Any]="<pad>"				,   lowerCAmelCase      :			int=False				,   lowerCAmelCase      :			Optional[int]=False				,   **lowerCAmelCase      :			Optional[int]				,   )->					Union[str, Any]:

										"""simple docstring"""




										super().__init__(
										    lowerCAmelCase				,   lowerCAmelCase				,   tokenizer_file=lowerCAmelCase				,   unk_token=lowerCAmelCase				,   bos_token=lowerCAmelCase				,   eos_token=lowerCAmelCase				,   pad_token=lowerCAmelCase				,   add_prefix_space=lowerCAmelCase				,   clean_up_tokenization_spaces=lowerCAmelCase				,   **lowerCAmelCase				,   )
										UpperCAmelCase					    =     json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()				)
										if pre_tok_state.get('''add_prefix_space'''				,   lowerCAmelCase				) != add_prefix_space:
																UpperCAmelCase					    =     getattr(lowerCAmelCase				,   pre_tok_state.pop('''type'''				)				)
																UpperCAmelCase					    =     add_prefix_space
																UpperCAmelCase					    =     pre_tok_class(**lowerCAmelCase				)

										UpperCAmelCase					    =     add_prefix_space




				def 					a__(		self      :			str				,   *lowerCAmelCase      :			Dict				,   **lowerCAmelCase      :			List[str]				)->					BatchEncoding:

										"""simple docstring"""




										UpperCAmelCase					    =     kwargs.get('''is_split_into_words'''				,   lowerCAmelCase				)
										if not (self.add_prefix_space or not is_split_into_words):
																raise Exception(
																    F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"""
																    ''' pretokenized inputs.'''				)

										return super()._batch_encode_plus(*lowerCAmelCase				,   **lowerCAmelCase				)




				def 					a__(		self      :			Union[str, Any]				,   *lowerCAmelCase      :			List[str]				,   **lowerCAmelCase      :			Union[str, Any]				)->					BatchEncoding:

										"""simple docstring"""




										UpperCAmelCase					    =     kwargs.get('''is_split_into_words'''				,   lowerCAmelCase				)

										if not (self.add_prefix_space or not is_split_into_words):
																raise Exception(
																    F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"""
																    ''' pretokenized inputs.'''				)

										return super()._encode_plus(*lowerCAmelCase				,   **lowerCAmelCase				)




				def 					a__(		self      :			Union[str, Any]				,   lowerCAmelCase      :			str				,   lowerCAmelCase      :			Optional[str] = None				)->					Tuple[str]:

										"""simple docstring"""




										UpperCAmelCase					    =     self._tokenizer.model.save(lowerCAmelCase				,   name=lowerCAmelCase				)
										return tuple(lowerCAmelCase				)





				def 					a__(		self      :			List[Any]				,   lowerCAmelCase      :			"Conversation"				)->					List[int]:

										"""simple docstring"""




										UpperCAmelCase					    =     []
										for is_user, text in conversation.iter_texts():
																input_ids.extend(self.encode(lowerCAmelCase				,   add_special_tokens=lowerCAmelCase				) + [self.eos_token_id]				)

										if len(lowerCAmelCase				) > self.model_max_length:
																UpperCAmelCase					    =     input_ids[-self.model_max_length :]
										return input_ids





