



import json
import os
import re
import unicodedata
from json.encoder import INFINITY
from typing import Any, Dict, List, Optional, Tuple, Union

import numpy as np
import regex

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding
from ...utils import TensorType, is_flax_available, is_tf_available, is_torch_available, logging
from ...utils.generic import _is_jax, _is_numpy


a_								=       logging.get_logger(__name__)

a_								=       {
    'artists_file': 'artists.json',
    'lyrics_file': 'lyrics.json',
    'genres_file': 'genres.json',
}

a_								=       {
    'artists_file': {
        'jukebox': 'https://huggingface.co/ArthurZ/jukebox/blob/main/artists.json',
    },
    'genres_file': {
        'jukebox': 'https://huggingface.co/ArthurZ/jukebox/blob/main/genres.json',
    },
    'lyrics_file': {
        'jukebox': 'https://huggingface.co/ArthurZ/jukebox/blob/main/lyrics.json',
    },
}

a_								=       {
    'jukebox': 512,
}



class 			__lowerCAmelCase  (						__snake_case ):
 lowerCAmelCase__							       =	VOCAB_FILES_NAMES
 lowerCAmelCase__							       =	PRETRAINED_VOCAB_FILES_MAP
 lowerCAmelCase__							       =	PRETRAINED_LYRIC_TOKENS_SIZES
 lowerCAmelCase__							       =	["""input_ids""", """attention_mask"""]




 def __init__(    self						,					__UpperCAmelCase						,					__UpperCAmelCase						,					__UpperCAmelCase						,					__UpperCAmelCase=["v3", "v2", "v2"]						,					__UpperCAmelCase=512						,					__UpperCAmelCase=5						,					__UpperCAmelCase="<|endoftext|>"						,					**__UpperCAmelCase						,					):



    '''simple docstring'''
    __lowerCamelCase    				=     AddedToken(__lowerCamelCase						,					lstrip=__lowerCamelCase						,					rstrip=__lowerCamelCase					) if isinstance(__lowerCamelCase						,					__lowerCamelCase					) else unk_token
    super().__init__(
        unk_token=__lowerCamelCase						,					n_genres=__lowerCamelCase						,					version=__lowerCamelCase						,					max_n_lyric_tokens=__lowerCamelCase						,					**__lowerCamelCase						,					)
    __lowerCamelCase    				=     version
    __lowerCamelCase    				=     max_n_lyric_tokens
    __lowerCamelCase    				=     n_genres

    with open(__lowerCamelCase						,					encoding='''utf-8'''					) as vocab_handle:
       __lowerCamelCase    				=     json.load(__lowerCamelCase					)

    with open(__lowerCamelCase						,					encoding='''utf-8'''					) as vocab_handle:
       __lowerCamelCase    				=     json.load(__lowerCamelCase					)

    with open(__lowerCamelCase						,					encoding='''utf-8'''					) as vocab_handle:
       __lowerCamelCase    				=     json.load(__lowerCamelCase					)

    __lowerCamelCase    				=     r'''[^A-Za-z0-9.,:;!?\-\'\"()\[\] \t\n]+'''
    # In v2, we had a n_vocab=80 and in v3 we missed + and so n_vocab=79 of characters.
    if len(self.lyrics_encoder					) == 79:
       __lowerCamelCase    				=     oov.replace(r'''\-\''''						,					r'''\-+\''''					)

    __lowerCamelCase    				=     regex.compile(__lowerCamelCase					)
    __lowerCamelCase    				=     {v: k for k, v in self.artists_encoder.items()}
    __lowerCamelCase    				=     {v: k for k, v in self.genres_encoder.items()}
    __lowerCamelCase    				=     {v: k for k, v in self.lyrics_encoder.items()}




 @property
 def 							lowerCamelCase   (    self					):



    '''simple docstring'''
    return len(self.artists_encoder					) + len(self.genres_encoder					) + len(self.lyrics_encoder					)




 def 							lowerCamelCase   (    self					):



    '''simple docstring'''
    return dict(self.artists_encoder						,					self.genres_encoder						,					self.lyrics_encoder					)




 def 							lowerCamelCase   (    self						,					__UpperCAmelCase						,					__UpperCAmelCase						,					__UpperCAmelCase					):



    '''simple docstring'''
    __lowerCamelCase    				=     [self.artists_encoder.get(__lowerCamelCase						,					0					) for artist in list_artists]
    for genres in range(len(__lowerCamelCase					)					):
       __lowerCamelCase    				=     [self.genres_encoder.get(__lowerCamelCase						,					0					) for genre in list_genres[genres]]
       __lowerCamelCase    				=     list_genres[genres] + [-1] * (self.n_genres - len(list_genres[genres]					))

    __lowerCamelCase    				=     [[self.lyrics_encoder.get(__lowerCamelCase						,					0					) for character in list_lyrics[0]], [], []]
    return artists_id, list_genres, lyric_ids




 def 							lowerCamelCase   (    self						,					__UpperCAmelCase					):



    '''simple docstring'''
    return list(__lowerCamelCase					)




 def 							lowerCamelCase   (    self						,					__UpperCAmelCase						,					__UpperCAmelCase						,					__UpperCAmelCase						,					**__UpperCAmelCase					):



    '''simple docstring'''
    __lowerCamelCase				,__lowerCamelCase				,__lowerCamelCase    				=     self.prepare_for_tokenization(__lowerCamelCase						,					__lowerCamelCase						,					__lowerCamelCase					)
    __lowerCamelCase    				=     self._tokenize(__lowerCamelCase					)
    return artist, genre, lyrics




 def 							lowerCamelCase   (    self						,					__UpperCAmelCase						,					__UpperCAmelCase						,					__UpperCAmelCase						,					__UpperCAmelCase = False					):



    '''simple docstring'''
    for idx in range(len(self.version					)					):
       if self.version[idx] == "v3":
          __lowerCamelCase    				=     artists[idx].lower()
          __lowerCamelCase    				=     [genres[idx].lower()]
       else:
          __lowerCamelCase    				=     self._normalize(artists[idx]					) + '''.v2'''
          __lowerCamelCase    				=     [
              self._normalize(__lowerCamelCase					) + '''.v2''' for genre in genres[idx].split('''_'''					)
          ]  # split is for the full dictionary with combined genres

    if self.version[0] == "v2":
       __lowerCamelCase    				=     regex.compile(r'''[^A-Za-z0-9.,:;!?\-\'\"()\[\] \t\n]+'''					)
       __lowerCamelCase    				=     '''ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789.,:;!?-+\'\"()[] \t\n'''
       __lowerCamelCase    				=     {vocab[index]: index + 1 for index in range(len(__lowerCamelCase					)					)}
       __lowerCamelCase    				=     0
       __lowerCamelCase    				=     len(__lowerCamelCase					) + 1
       __lowerCamelCase    				=     self.vocab
       __lowerCamelCase    				=     {v: k for k, v in self.vocab.items()}
       __lowerCamelCase    				=     ''''''
    else:
       __lowerCamelCase    				=     regex.compile(r'''[^A-Za-z0-9.,:;!?\-+\'\"()\[\] \t\n]+'''					)

    __lowerCamelCase    				=     self._run_strip_accents(__lowerCamelCase					)
    __lowerCamelCase    				=     lyrics.replace('''\\'''						,					'''\n'''					)
    __lowerCamelCase    				=     self.out_of_vocab.sub(''''''						,					__lowerCamelCase					), [], []
    return artists, genres, lyrics




 def 							lowerCamelCase   (    self						,					__UpperCAmelCase					):



    '''simple docstring'''
    __lowerCamelCase    				=     unicodedata.normalize('''NFD'''						,					__lowerCamelCase					)
    __lowerCamelCase    				=     []
    for char in text:
       __lowerCamelCase    				=     unicodedata.category(__lowerCamelCase					)
       if cat == "Mn":
          continue
       output.append(__lowerCamelCase					)
    return "".join(__lowerCamelCase					)




 def 							lowerCamelCase   (    self						,					__UpperCAmelCase					):



    '''simple docstring'''
    __lowerCamelCase    				=     (
        [chr(__lowerCamelCase					) for i in range(ord('''a'''					)						,					ord('''z'''					) + 1					)]
        + [chr(__lowerCamelCase					) for i in range(ord('''A'''					)						,					ord('''Z'''					) + 1					)]
        + [chr(__lowerCamelCase					) for i in range(ord('''0'''					)						,					ord('''9'''					) + 1					)]
        + ['''.''']
    )
    __lowerCamelCase    				=     frozenset(__lowerCamelCase					)
    __lowerCamelCase    				=     re.compile(r'''_+'''					)
    __lowerCamelCase    				=     ''''''.join([c if c in accepted else '''_''' for c in text.lower()]					)
    __lowerCamelCase    				=     pattern.sub('''_'''						,					__lowerCamelCase					).strip('''_'''					)
    return text




 def 							lowerCamelCase   (    self						,					__UpperCAmelCase					):



    '''simple docstring'''
    return " ".join(__lowerCamelCase					)




 def 							lowerCamelCase   (    self						,					__UpperCAmelCase						,					__UpperCAmelCase = None						,					__UpperCAmelCase = False					):



    '''simple docstring'''
    # Convert to TensorType
    if not isinstance(__lowerCamelCase						,					__lowerCamelCase					):
       __lowerCamelCase    				=     TensorType(__lowerCamelCase					)

    # Get a function reference for the correct framework
    if tensor_type == TensorType.TENSORFLOW:
       if not is_tf_available():
          raise ImportError(
              '''Unable to convert output to TensorFlow tensors format, TensorFlow is not installed.'''					)
       import tensorflow as tf

       __lowerCamelCase    				=     tf.constant
       __lowerCamelCase    				=     tf.is_tensor
    elif tensor_type == TensorType.PYTORCH:
       if not is_torch_available():
          raise ImportError('''Unable to convert output to PyTorch tensors format, PyTorch is not installed.'''					)
       import torch

       __lowerCamelCase    				=     torch.tensor
       __lowerCamelCase    				=     torch.is_tensor
    elif tensor_type == TensorType.JAX:
       if not is_flax_available():
          raise ImportError('''Unable to convert output to JAX tensors format, JAX is not installed.'''					)
       import jax.numpy as jnp  # noqa: F811

       __lowerCamelCase    				=     jnp.array
       __lowerCamelCase    				=     _is_jax
    else:
       __lowerCamelCase    				=     np.asarray
       __lowerCamelCase    				=     _is_numpy

    # Do the tensor conversion in batch

    try:
       if prepend_batch_axis:
          __lowerCamelCase    				=     [inputs]

       if not is_tensor(__lowerCamelCase					):
          __lowerCamelCase    				=     as_tensor(__lowerCamelCase					)
    except:  # noqa E722
       raise ValueError(
           '''Unable to create tensor, you should probably activate truncation and/or padding '''
           '''with \'padding=True\' \'truncation=True\' to have batched tensors with the same length.'''					)

    return inputs




 def __call__(    self						,					__UpperCAmelCase						,					__UpperCAmelCase						,					__UpperCAmelCase=""						,					__UpperCAmelCase="pt"					):



    '''simple docstring'''
    __lowerCamelCase    				=     [0, 0, 0]
    __lowerCamelCase    				=     [artist] * len(self.version					)
    __lowerCamelCase    				=     [genres] * len(self.version					)

    __lowerCamelCase				,__lowerCamelCase				,__lowerCamelCase    				=     self.tokenize(__lowerCamelCase						,					__lowerCamelCase						,					__lowerCamelCase					)
    __lowerCamelCase				,__lowerCamelCase				,__lowerCamelCase    				=     self._convert_token_to_id(__lowerCamelCase						,					__lowerCamelCase						,					__lowerCamelCase					)

    __lowerCamelCase    				=     [-INFINITY] * len(full_tokens[-1]					)
    __lowerCamelCase    				=     [
        self.convert_to_tensors(
            [input_ids + [artists_id[i]] + genres_ids[i] + full_tokens[i]]						,					tensor_type=__lowerCamelCase					)
        for i in range(len(self.version					)					)
    ]
    return BatchEncoding({'''input_ids''': input_ids, '''attention_masks''': attention_masks}					)




 def 							lowerCamelCase   (    self						,					__UpperCAmelCase						,					__UpperCAmelCase = None					):



    '''simple docstring'''
    if not os.path.isdir(__lowerCamelCase					):
       logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""					)
       return

    __lowerCamelCase    				=     os.path.join(
        __lowerCamelCase						,					(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''artists_file''']					)
    with open(__lowerCamelCase						,					'''w'''						,					encoding='''utf-8'''					) as f:
       f.write(json.dumps(self.artists_encoder						,					ensure_ascii=__lowerCamelCase					)					)

    __lowerCamelCase    				=     os.path.join(
        __lowerCamelCase						,					(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''genres_file''']					)
    with open(__lowerCamelCase						,					'''w'''						,					encoding='''utf-8'''					) as f:
       f.write(json.dumps(self.genres_encoder						,					ensure_ascii=__lowerCamelCase					)					)

    __lowerCamelCase    				=     os.path.join(
        __lowerCamelCase						,					(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''lyrics_file''']					)
    with open(__lowerCamelCase						,					'''w'''						,					encoding='''utf-8'''					) as f:
       f.write(json.dumps(self.lyrics_encoder						,					ensure_ascii=__lowerCamelCase					)					)

    return (artists_file, genres_file, lyrics_file)




 def 							lowerCamelCase   (    self						,					__UpperCAmelCase						,					__UpperCAmelCase						,					__UpperCAmelCase					):



    '''simple docstring'''
    __lowerCamelCase    				=     self.artists_decoder.get(__lowerCamelCase					)
    __lowerCamelCase    				=     [self.genres_decoder.get(__lowerCamelCase					) for genre in genres_index]
    __lowerCamelCase    				=     [self.lyrics_decoder.get(__lowerCamelCase					) for character in lyric_index]
    return artist, genres, lyrics









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

import requests





def 	__a     (      A__			:  str			,  A__			:  List[Any]=None       ):
    SCREAMING_SNAKE_CASE										=   None
    if token is not None:
        SCREAMING_SNAKE_CASE										=   {"Accept": "application/vnd.github+json", "Authorization": F"Bearer {token}"}

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

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

        for i in range(A__       ):
            SCREAMING_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 	__a     (      A__			:  List[Any]			,  A__			:  Optional[int]=None       ):
    SCREAMING_SNAKE_CASE										=   None
    if token is not None:
        SCREAMING_SNAKE_CASE										=   {"Accept": "application/vnd.github+json", "Authorization": F"Bearer {token}"}

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

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

        for i in range(A__       ):
            SCREAMING_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 	__a     (      A__			:  Any			,  A__			:  str			,  A__			:  List[str]			,  A__			:  Union[str, Any]       ):
    SCREAMING_SNAKE_CASE										=   None
    if token is not None:
        SCREAMING_SNAKE_CASE										=   {"Accept": "application/vnd.github+json", "Authorization": F"Bearer {token}"}

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





def 	__a     (      A__			:  List[Any]			,  A__			:  List[Any]=None       ):
    SCREAMING_SNAKE_CASE										=   []
    SCREAMING_SNAKE_CASE										=   []
    SCREAMING_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:
                            SCREAMING_SNAKE_CASE										=   line.decode("UTF-8"       ).strip()
                            if filename == "failures_line.txt":
                                try:
                                    # `error_line` is the place where `error` occurs
                                    SCREAMING_SNAKE_CASE										=   line[: line.index(": "       )]
                                    SCREAMING_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
                                SCREAMING_SNAKE_CASE										=   line[len("FAILED "       ) :]
                                failed_tests.append(A__       )
                            elif filename == "job_name.txt":
                                SCREAMING_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."       )

    SCREAMING_SNAKE_CASE										=   None
    if job_name and job_links:
        SCREAMING_SNAKE_CASE										=   job_links.get(A__			,  A__       )

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

    return result





def 	__a     (      A__			:  Union[str, Any]			,  A__			:  Union[str, Any]=None       ):
    SCREAMING_SNAKE_CASE										=   []

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

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





def 	__a     (      A__			:  str       ):
    SCREAMING_SNAKE_CASE										=   test.split("::"       )[0]
    if test.startswith("tests/models/"       ):
        SCREAMING_SNAKE_CASE										=   test.split("/"       )[2]
    else:
        SCREAMING_SNAKE_CASE										=   None

    return test





def 	__a     (      A__			:  List[str]			,  A__			:  Dict=None       ):
    SCREAMING_SNAKE_CASE										=   [(x[0], x[1], get_model(x[2]       )) for x in logs]
    SCREAMING_SNAKE_CASE										=   [x for x in logs if x[2] is not None]
    SCREAMING_SNAKE_CASE										=   {x[2] for x in logs}

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

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





def 	__a     (      A__			:  Dict       ):
    SCREAMING_SNAKE_CASE										=   "| no. | error | status |"
    SCREAMING_SNAKE_CASE										=   "|-:|:-|:-|"
    SCREAMING_SNAKE_CASE										=   [header, sep]
    for error in reduced_by_error:
        SCREAMING_SNAKE_CASE										=   reduced_by_error[error]["count"]
        SCREAMING_SNAKE_CASE										=   F"| {count} | {error[:100]} |  |"
        lines.append(A__       )

    return "\n".join(A__       )





def 	__a     (      A__			:  Optional[Any]       ):
    SCREAMING_SNAKE_CASE										=   "| model | no. of errors | major error | count |"
    SCREAMING_SNAKE_CASE										=   "|-:|-:|-:|-:|"
    SCREAMING_SNAKE_CASE										=   [header, sep]
    for model in reduced_by_model:
        SCREAMING_SNAKE_CASE										=   reduced_by_model[model]["count"]
        SCREAMING_SNAKE_CASE							,	SCREAMING_SNAKE_CASE										=   list(reduced_by_model[model]["errors"].items()       )[0]
        SCREAMING_SNAKE_CASE										=   F"| {model} | {count} | {error[:60]} | {_count} |"
        lines.append(A__       )

    return "\n".join(A__       )


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

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

    __A			:					int						=			get_job_links(args.workflow_run_id, token=args.token)
    __A			:					Dict						=			{}
    # 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:
                __A			:					Union[str, Any]						=			k.find(' / ')
                __A			:					Optional[int]						=			k[index + len(' / ') :]
            __A			:					Optional[int]						=			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)

    __A			:					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)

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

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

    # print the top 30 most common test errors
    __A			:					Optional[Any]						=			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)

    __A			:					str						=			reduce_by_error(errors)
    __A			:					int						=			reduce_by_model(errors)

    __A			:					Any						=			make_github_table(reduced_by_error)
    __A			:					List[str]						=			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)