



from abc import ABC, abstractmethod
from typing import List, Optional

class     _A       (	__UpperCAmelCase    ):



       def __init__(		self							:     Optional[int]):


           '''simple docstring'''

           self.test()



       def 		_lowerCamelCase			(		self							:     int):


           '''simple docstring'''

           __a						       =				0
           __a						       =				False
           while not completed:
               if counter == 1:
                   self.reset()
               __a						       =				self.advance()
               if not self.does_advance(__SCREAMING_SNAKE_CASE):
                   raise Exception(
                       '''Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true.''')

               __a       ,   __a       ,   __a						       =				self.update(__SCREAMING_SNAKE_CASE)
               counter += 1

               if counter > 10_000:
                   raise Exception('''update() does not fulfill the constraint.''')

           if self.remaining() != 0:
               raise Exception('''Custom Constraint is not defined correctly.''')



       @abstractmethod
       def 		_lowerCamelCase			(		self							:     Tuple):


           '''simple docstring'''

           raise NotImplementedError(
               F'{self.__class__} is an abstract class. Only classes inheriting this class can be called.')



       @abstractmethod
       def 		_lowerCamelCase			(		self							:     List[str]     ,		__SCREAMING_SNAKE_CASE							:     int):


           '''simple docstring'''

           raise NotImplementedError(
               F'{self.__class__} is an abstract class. Only classes inheriting this class can be called.')



       @abstractmethod
       def 		_lowerCamelCase			(		self							:     Any     ,		__SCREAMING_SNAKE_CASE							:     int):


           '''simple docstring'''

           raise NotImplementedError(
               F'{self.__class__} is an abstract class. Only classes inheriting this class can be called.')



       @abstractmethod
       def 		_lowerCamelCase			(		self							:     Dict):


           '''simple docstring'''

           raise NotImplementedError(
               F'{self.__class__} is an abstract class. Only classes inheriting this class can be called.')



       @abstractmethod
       def 		_lowerCamelCase			(		self							:     Optional[Any]):


           '''simple docstring'''

           raise NotImplementedError(
               F'{self.__class__} is an abstract class. Only classes inheriting this class can be called.')





       @abstractmethod
       def 		_lowerCamelCase			(		self							:     Optional[int]     ,		__SCREAMING_SNAKE_CASE							:     Union[str, Any]=False):


           '''simple docstring'''

           raise NotImplementedError(
               F'{self.__class__} is an abstract class. Only classes inheriting this class can be called.')


class     _A       (	__UpperCAmelCase    ):



       def __init__(		self							:     List[Any]     ,		__SCREAMING_SNAKE_CASE							:     List[int]):


           '''simple docstring'''

           super(__SCREAMING_SNAKE_CASE     ,		self).__init__()

           if not isinstance(__SCREAMING_SNAKE_CASE     ,		__SCREAMING_SNAKE_CASE) or len(__SCREAMING_SNAKE_CASE) == 0:
               raise ValueError(F'`token_ids` has to be a non-empty list, but is {token_ids}.')
           if any((not isinstance(__SCREAMING_SNAKE_CASE     ,		__SCREAMING_SNAKE_CASE) or token_id < 0) for token_id in token_ids):
               raise ValueError(F'Each list in `token_ids` has to be a list of positive integers, but is {token_ids}.')

           __a						       =				token_ids

           __a						       =				len(self.token_ids)
           __a						       =				-1  # the index of the currently fulfilled step
           __a						       =				False



       def 		_lowerCamelCase			(		self							:     Union[str, Any]):


           '''simple docstring'''

           if self.completed:
               return None
           return self.token_ids[self.fulfilled_idx + 1]



       def 		_lowerCamelCase			(		self							:     List[Any]     ,		__SCREAMING_SNAKE_CASE							:     int):


           '''simple docstring'''

           if not isinstance(__SCREAMING_SNAKE_CASE     ,		__SCREAMING_SNAKE_CASE):
               raise ValueError(F'`token_id` has to be an `int`, but is {token_id} of type {type(__SCREAMING_SNAKE_CASE)}')

           if self.completed:
               return False

           return token_id == self.token_ids[self.fulfilled_idx + 1]



       def 		_lowerCamelCase			(		self							:     str     ,		__SCREAMING_SNAKE_CASE							:     int):


           '''simple docstring'''

           if not isinstance(__SCREAMING_SNAKE_CASE     ,		__SCREAMING_SNAKE_CASE):
               raise ValueError(F'`token_id` has to be an `int`, but is {token_id} of type {type(__SCREAMING_SNAKE_CASE)}')

           __a						       =				False
           __a						       =				False
           __a						       =				False

           if self.does_advance(__SCREAMING_SNAKE_CASE):
               self.fulfilled_idx += 1
               __a						       =				True
               if self.fulfilled_idx == (self.seqlen - 1):
                   __a						       =				True
               __a						       =				completed
           else:
               # failed to make progress.
               __a						       =				True
               self.reset()
           return stepped, completed, reset



       def 		_lowerCamelCase			(		self							:     List[str]):


           '''simple docstring'''

           __a						       =				False
           __a						       =				0



       def 		_lowerCamelCase			(		self							:     str):


           '''simple docstring'''

           return self.seqlen - (self.fulfilled_idx + 1)





       def 		_lowerCamelCase			(		self							:     List[str]     ,		__SCREAMING_SNAKE_CASE							:     Any=False):


           '''simple docstring'''

           __a						       =				PhrasalConstraint(self.token_ids)

           if stateful:
               __a						       =				self.seqlen
               __a						       =				self.fulfilled_idx
               __a						       =				self.completed

           return new_constraint


class     _A       :



       def __init__(		self							:     int     ,		__SCREAMING_SNAKE_CASE							:     List[List[int]]     ,		__SCREAMING_SNAKE_CASE							:     Dict=True):


           '''simple docstring'''

           __a						       =				max([len(__SCREAMING_SNAKE_CASE) for one in nested_token_ids])

           __a						       =				{}
           for token_ids in nested_token_ids:
               __a						       =				root
               for tidx, token_id in enumerate(__SCREAMING_SNAKE_CASE):
                   if token_id not in level:
                       __a						       =				{}

                   __a						       =				level[token_id]

           if no_subsets and self.has_subsets(__SCREAMING_SNAKE_CASE     ,		__SCREAMING_SNAKE_CASE):
               raise ValueError(
                   '''Each list in `nested_token_ids` can\'t be a complete subset of another list, but is'''
                   F' {nested_token_ids}.')

           __a						       =				root



       def 		_lowerCamelCase			(		self							:     List[Any]     ,		__SCREAMING_SNAKE_CASE							:     Any):


           '''simple docstring'''

           __a						       =				self.trie

           for current_token in current_seq:
               __a						       =				start[current_token]

           __a						       =				list(start.keys())

           return next_tokens



       def 		_lowerCamelCase			(		self							:     Tuple     ,		__SCREAMING_SNAKE_CASE							:     int):


           '''simple docstring'''

           __a						       =				self.next_tokens(__SCREAMING_SNAKE_CASE)

           return len(__SCREAMING_SNAKE_CASE) == 0



       def 		_lowerCamelCase			(		self							:     List[str]     ,		__SCREAMING_SNAKE_CASE							:     List[Any]):


           '''simple docstring'''

           __a						       =				list(root.values())
           if len(__SCREAMING_SNAKE_CASE) == 0:
               return 1
           else:
               return sum([self.count_leaves(__SCREAMING_SNAKE_CASE) for nn in next_nodes])





       def 		_lowerCamelCase			(		self							:     Any     ,		__SCREAMING_SNAKE_CASE							:     List[str]     ,		__SCREAMING_SNAKE_CASE							:     Any):


           '''simple docstring'''

           __a						       =				self.count_leaves(__SCREAMING_SNAKE_CASE)
           return len(__SCREAMING_SNAKE_CASE) != leaf_count


class     _A       (	__UpperCAmelCase    ):



       def __init__(		self							:     Tuple     ,		__SCREAMING_SNAKE_CASE							:     List[List[int]]):


           '''simple docstring'''

           super(__SCREAMING_SNAKE_CASE     ,		self).__init__()

           if not isinstance(__SCREAMING_SNAKE_CASE     ,		__SCREAMING_SNAKE_CASE) or len(__SCREAMING_SNAKE_CASE) == 0:
               raise ValueError(F'`nested_token_ids` has to be a non-empty list, but is {nested_token_ids}.')
           if any(not isinstance(__SCREAMING_SNAKE_CASE     ,		__SCREAMING_SNAKE_CASE) for token_ids in nested_token_ids):
               raise ValueError(F'`nested_token_ids` has to be a list of lists, but is {nested_token_ids}.')
           if any(
               any((not isinstance(__SCREAMING_SNAKE_CASE     ,		__SCREAMING_SNAKE_CASE) or token_id < 0) for token_id in token_ids)
               for token_ids in nested_token_ids):
               raise ValueError(
                   F'Each list in `nested_token_ids` has to be a list of positive integers, but is {nested_token_ids}.')

           __a						       =				DisjunctiveTrie(__SCREAMING_SNAKE_CASE)
           __a						       =				nested_token_ids

           __a						       =				self.trie.max_height
           __a						       =				[]
           __a						       =				False



       def 		_lowerCamelCase			(		self							:     Optional[Any]):


           '''simple docstring'''

           __a						       =				self.trie.next_tokens(self.current_seq)

           if len(__SCREAMING_SNAKE_CASE) == 0:
               return None
           else:
               return token_list



       def 		_lowerCamelCase			(		self							:     Optional[int]     ,		__SCREAMING_SNAKE_CASE							:     int):


           '''simple docstring'''

           if not isinstance(__SCREAMING_SNAKE_CASE     ,		__SCREAMING_SNAKE_CASE):
               raise ValueError(F'`token_id` is supposed to be type `int`, but is {token_id} of type {type(__SCREAMING_SNAKE_CASE)}')

           __a						       =				self.trie.next_tokens(self.current_seq)

           return token_id in next_tokens



       def 		_lowerCamelCase			(		self							:     int     ,		__SCREAMING_SNAKE_CASE							:     int):


           '''simple docstring'''

           if not isinstance(__SCREAMING_SNAKE_CASE     ,		__SCREAMING_SNAKE_CASE):
               raise ValueError(F'`token_id` is supposed to be type `int`, but is {token_id} of type {type(__SCREAMING_SNAKE_CASE)}')

           __a						       =				False
           __a						       =				False
           __a						       =				False

           if self.does_advance(__SCREAMING_SNAKE_CASE):
               self.current_seq.append(__SCREAMING_SNAKE_CASE)
               __a						       =				True
           else:
               __a						       =				True
               self.reset()

           __a						       =				self.trie.reached_leaf(self.current_seq)
           __a						       =				completed

           return stepped, completed, reset



       def 		_lowerCamelCase			(		self							:     Optional[int]):


           '''simple docstring'''

           __a						       =				False
           __a						       =				[]



       def 		_lowerCamelCase			(		self							:     Union[str, Any]):


           '''simple docstring'''

           if self.completed:
               # since this can be completed without reaching max height
               return 0
           else:
               return self.seqlen - len(self.current_seq)





       def 		_lowerCamelCase			(		self							:     List[Any]     ,		__SCREAMING_SNAKE_CASE							:     str=False):


           '''simple docstring'''

           __a						       =				DisjunctiveConstraint(self.token_ids)

           if stateful:
               __a						       =				self.seqlen
               __a						       =				self.current_seq
               __a						       =				self.completed

           return new_constraint


class     _A       :



       def __init__(		self							:     Tuple     ,		__SCREAMING_SNAKE_CASE							:     List[Constraint]):


           '''simple docstring'''

           __a						       =				constraints

           # max # of steps required to fulfill a given constraint
           __a						       =				max([c.seqlen for c in constraints])
           __a						       =				len(__SCREAMING_SNAKE_CASE)
           __a						       =				False

           self.init_state()



       def 		_lowerCamelCase			(		self							:     List[Any]):


           '''simple docstring'''

           __a						       =				[]
           __a						       =				None
           __a						       =				[constraint.copy(stateful=__SCREAMING_SNAKE_CASE) for constraint in self.constraints]



       def 		_lowerCamelCase			(		self							:     List[str]):


           '''simple docstring'''

           __a						       =				0
           if self.inprogress_constraint:
               # extra points for having a constraint mid-fulfilled
               add += self.max_seqlen - self.inprogress_constraint.remaining()

           return (len(self.complete_constraints) * self.max_seqlen) + add



       def 		_lowerCamelCase			(		self							:     List[Any]):


           '''simple docstring'''

           __a						       =				[]
           if self.inprogress_constraint is None:
               for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
                   __a						       =				constraint.advance()
                   if isinstance(__SCREAMING_SNAKE_CASE     ,		__SCREAMING_SNAKE_CASE):
                       token_list.append(__SCREAMING_SNAKE_CASE)
                   elif isinstance(__SCREAMING_SNAKE_CASE     ,		__SCREAMING_SNAKE_CASE):
                       token_list.extend(__SCREAMING_SNAKE_CASE)
           else:
               __a						       =				self.inprogress_constraint.advance()
               if isinstance(__SCREAMING_SNAKE_CASE     ,		__SCREAMING_SNAKE_CASE):
                   token_list.append(__SCREAMING_SNAKE_CASE)
               elif isinstance(__SCREAMING_SNAKE_CASE     ,		__SCREAMING_SNAKE_CASE):
                   token_list.extend(__SCREAMING_SNAKE_CASE)

           if len(__SCREAMING_SNAKE_CASE) == 0:
               return None
           else:
               return token_list



       def 		_lowerCamelCase			(		self							:     int     ,		__SCREAMING_SNAKE_CASE							:     Optional[List[int]]):


           '''simple docstring'''

           self.init_state()

           if token_ids is not None:
               for token in token_ids:
                   # completes or steps **one** constraint
                   __a       ,   __a						       =				self.add(__SCREAMING_SNAKE_CASE)

                   # the entire list of constraints are fulfilled
                   if self.completed:
                       break



       def 		_lowerCamelCase			(		self							:     Optional[int]     ,		__SCREAMING_SNAKE_CASE							:     int):


           '''simple docstring'''

           if not isinstance(__SCREAMING_SNAKE_CASE     ,		__SCREAMING_SNAKE_CASE):
               raise ValueError(F'`token_id` should be an `int`, but is `{token_id}`.')

           __a       ,   __a						       =				False, False

           if self.completed:
               __a						       =				True
               __a						       =				False
               return complete, stepped

           if self.inprogress_constraint is not None:
               # In the middle of fulfilling a constraint. If the `token_id` *does* makes an incremental progress to current
               # job, simply update the state

               __a       ,   __a       ,   __a						       =				self.inprogress_constraint.update(__SCREAMING_SNAKE_CASE)
               if reset:
                   # 1. If the next token breaks the progress, then we must restart.
                   #     e.g. constraint = "I love pies" and sequence so far is "I love" but `token_id` == "books".

                   #     But that doesn't mean we self.init_state(), since we only reset the state for this particular
                   #     constraint, not the full list of constraints.

                   self.pending_constraints.append(self.inprogress_constraint.copy(stateful=__SCREAMING_SNAKE_CASE))
                   __a						       =				None

               if complete:
                   # 2. If the next token completes the constraint, move it to completed list, set
                   #     inprogress to None. If there are no pending constraints either, then this full list of constraints
                   #     is complete.

                   self.complete_constraints.append(self.inprogress_constraint)
                   __a						       =				None

                   if len(self.pending_constraints) == 0:
                       # we're done!
                       __a						       =				True

           else:
               # Not in the middle of fulfilling a constraint. So does this `token_id` helps us step towards any of our list
               # of constraints?

               for cidx, pending_constraint in enumerate(self.pending_constraints):
                   if pending_constraint.does_advance(__SCREAMING_SNAKE_CASE):
                       __a       ,   __a       ,   __a						       =				pending_constraint.update(__SCREAMING_SNAKE_CASE)

                       if not stepped:
                           raise Exception(
                               '''`constraint.update(token_id)` is not yielding incremental progress, '''
                               '''even though `constraint.does_advance(token_id)` is true.''')

                       if complete:
                           self.complete_constraints.append(__SCREAMING_SNAKE_CASE)
                           __a						       =				None

                       if not complete and stepped:
                           __a						       =				pending_constraint

                       if complete or stepped:
                           # If we made any progress at all, then it's at least not a "pending constraint".

                           __a						       =				(
                               self.pending_constraints[:cidx] + self.pending_constraints[cidx + 1 :]
                           )

                           if len(self.pending_constraints) == 0 and self.inprogress_constraint is None:
                               # If there's no longer any pending after this and no inprogress either, then we must be
                               # complete.

                               __a						       =				True

                           break  # prevent accidentally stepping through multiple constraints with just one token.

           return complete, stepped





       def 		_lowerCamelCase			(		self							:     List[str]     ,		__SCREAMING_SNAKE_CASE							:     int=True):


           '''simple docstring'''

           __a						       =				ConstraintListState(self.constraints)  # we actually never though self.constraints objects
           # throughout this process. So it's at initialization state.

           if stateful:
               __a						       =				[
                   constraint.copy(stateful=__SCREAMING_SNAKE_CASE) for constraint in self.complete_constraints
               ]
               if self.inprogress_constraint is not None:
                   __a						       =				self.inprogress_constraint.copy(stateful=__SCREAMING_SNAKE_CASE)
               __a						       =				[constraint.copy() for constraint in self.pending_constraints]

           return new_state











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

import requests


def 						lowerCamelCase__    (		_A     ,	_A=None							):







	'''simple docstring'''





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

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

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

		for i in range(_A							):
			snake_case_		    =     requests.get(url + f"&page={i + 2}"     ,	headers=_A							).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     ,	_A=None							):







	'''simple docstring'''





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

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

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

		for i in range(_A							):
			snake_case_		    =     requests.get(url + f"&page={i + 2}"     ,	headers=_A							).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     ,	_A     ,	_A     ,	_A							):







	'''simple docstring'''





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

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


def 						lowerCamelCase__    (		_A     ,	_A=None							):







	'''simple docstring'''





	snake_case_		    =     []
	snake_case_		    =     []
	snake_case_		    =     None

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

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

	snake_case_		    =     None
	if job_name and job_links:
		snake_case_		    =     job_links.get(_A     ,	_A							)

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

	return result


def 						lowerCamelCase__    (		_A     ,	_A=None							):







	'''simple docstring'''





	snake_case_		    =     []

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

	return errors


def 						lowerCamelCase__    (		_A     ,	_A=None							):







	'''simple docstring'''





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

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


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





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

	return test


def 						lowerCamelCase__    (		_A     ,	_A=None							):







	'''simple docstring'''





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

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

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


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	snake_case_		    =     "| no. | error | status |"
	snake_case_		    =     "|-:|:-|:-|"
	snake_case_		    =     [header, sep]
	for error in reduced_by_error:
		snake_case_		    =     reduced_by_error[error]["count"]
		snake_case_		    =     f"| {count} | {error[:100]} |  |"
		lines.append(_A							)

	return "\n".join(_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





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

	return "\n".join(_A							)


if __name__ == "__main__":
		lowercase__				:     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.")
		lowercase__				:     int 		=						parser.parse_args()

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

		lowercase__				:     Optional[Any] 		=						get_job_links(args.workflow_run_id, token=args.token)
		lowercase__				:     List[Any] 		=						{}
		# 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__				:     Tuple 		=						k.find(" / ")
								lowercase__				:     Union[str, 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__				:     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)

		lowercase__				:     List[Any] 		=						get_all_errors(args.output_dir, job_links=job_links)

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

		# print the top 30 most common test errors
		lowercase__				:     Union[str, Any] 		=						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__				:     int 		=						reduce_by_error(errors)
		lowercase__				:     List[str] 		=						reduce_by_model(errors)

		lowercase__				:     Tuple 		=						make_github_table(reduced_by_error)
		lowercase__				:     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)
