'''simple docstring'''

import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links
def 			__UpperCamelCase       (   UpperCAmelCase		,     UpperCAmelCase=7     ):
 lowercase__				:    Union[str, Any]  =					None
 if token is not None:
  lowercase__				:    Optional[Any]  =					{'''Accept''': '''application/vnd.github+json''', '''Authorization''': F"""Bearer {token}"""}

 # The id of a workflow (not of a workflow run)
 lowercase__				:    int  =					'''636036'''

 lowercase__				:    Optional[int]  =					F"""https://api.github.com/repos/huggingface/transformers/actions/workflows/{workflow_id}/runs"""
 # On `main` branch + event being `schedule` + not returning PRs + only `num_runs` results
 url += F"""?branch=main&event=schedule&exclude_pull_requests=true&per_page={num_runs}"""

 lowercase__				:    Optional[Any]  =					requests.get(UpperCAmelCase		,     headers=UpperCAmelCase     ).json()

 return result["workflow_runs"]
def 			__UpperCamelCase       (   UpperCAmelCase     ):
 lowercase__				:    str  =					get_daily_ci_runs(UpperCAmelCase     )
 lowercase__				:    Union[str, Any]  =					None
 for workflow_run in workflow_runs:
  if workflow_run["status"] == "completed":
   lowercase__				:    Any  =					workflow_run['''id''']
   break

 return workflow_run_id
def 			__UpperCamelCase       (   UpperCAmelCase		,     UpperCAmelCase		,     UpperCAmelCase     ):
 lowercase__				:    Optional[Any]  =					get_last_daily_ci_runs(UpperCAmelCase     )
 if workflow_run_id is not None:
  lowercase__				:    Union[str, Any]  =					get_artifacts_links(worflow_run_id=UpperCAmelCase		,     token=UpperCAmelCase     )
  for artifact_name in artifact_names:
   if artifact_name in artifacts_links:
    lowercase__				:    Dict  =					artifacts_links[artifact_name]
    download_artifact(
        artifact_name=UpperCAmelCase		,     artifact_url=UpperCAmelCase		,     output_dir=UpperCAmelCase		,     token=UpperCAmelCase     )





def 			__UpperCamelCase       (   UpperCAmelCase		,     UpperCAmelCase		,     UpperCAmelCase     ):
 get_last_daily_ci_artifacts(UpperCAmelCase		,     UpperCAmelCase		,     UpperCAmelCase     )

 lowercase__				:    Optional[Any]  =					{}
 for artifact_name in artifact_names:
  lowercase__				:    Union[str, Any]  =					os.path.join(UpperCAmelCase		,     F"""{artifact_name}.zip"""     )
  if os.path.isfile(UpperCAmelCase     ):
   lowercase__				:    int  =					{}
   with zipfile.ZipFile(UpperCAmelCase     ) as z:
    for filename in z.namelist():
     if not os.path.isdir(UpperCAmelCase     ):
      # read the file
      with z.open(UpperCAmelCase     ) as f:
       lowercase__				:    Any  =					f.read().decode('''UTF-8'''     )

 return results


'''simple docstring'''

from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
  import tensorflow as tf

  from transformers import AutoTokenizer, TFAutoModelForSeqaSeqLM



@require_tf
@require_sentencepiece
@require_tokenizers
class 			UpperCAmelCase  (						unittest.TestCase					):





       '''simple docstring'''



       @slow
       def _lowerCAmelCase(						self )  ->  Dict:
        lowercase__				:    List[str]  =					TFAutoModelForSeqaSeqLM.from_pretrained('''google/mt5-small''' )
        lowercase__				:    Dict  =					AutoTokenizer.from_pretrained('''google/mt5-small''' )

        lowercase__				:    Any  =					tokenizer('''Hello there'''	,   return_tensors='''tf''' ).input_ids
        lowercase__				:    List[Any]  =					tokenizer('''Hi I am'''	,   return_tensors='''tf''' ).input_ids

        lowercase__				:    str  =					model(__lowerCAmelCase	,   labels=__lowerCAmelCase ).loss
        lowercase__				:    List[str]  =					-tf.math.reduce_mean(__lowerCAmelCase ).numpy()

        lowercase__				:    str  =					-2_1.2_2_8_1_6_8
        self.assertTrue(abs(mtf_score - EXPECTED_SCORE ) < 2E-4 )

