





import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartTokenizer, MBartTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
)

from ...test_tokenization_common import TokenizerTesterMixin


UpperCamelCase_												=	get_tests_dir('fixtures/test_sentencepiece.model')


if is_torch_available():
    from transformers.models.mbart.modeling_mbart import shift_tokens_right

UpperCamelCase_												=	25_00_04
UpperCamelCase_												=	25_00_20

@require_sentencepiece
@require_tokenizers
class     snake_case_		(   a,		unittest.TestCase							):






 '''simple docstring'''





 __UpperCamelCase       =      MBartTokenizer
 __UpperCamelCase       =      MBartTokenizerFast
 __UpperCamelCase       =      True
 __UpperCamelCase       =      True

 def  __UpperCAmelCase						(  self		)	->       Tuple:
    super().setUp()

    # We have a SentencePiece fixture for testing
    UpperCAmelCase__						=MBartTokenizer(A_,		keep_accents=A_		)
    tokenizer.save_pretrained(self.tmpdirname		)

 def  __UpperCAmelCase						(  self		)	->       Optional[Any]:
    UpperCAmelCase__						=MBartTokenizer(A_,		keep_accents=A_		)

    UpperCAmelCase__						=tokenizer.tokenize("This is a test"		)
    self.assertListEqual(A_,		["▁This", "▁is", "▁a", "▁t", "est"]		)

    self.assertListEqual(
        tokenizer.convert_tokens_to_ids(A_		),		[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]],		)

    UpperCAmelCase__						=tokenizer.tokenize("I was born in 92000, and this is falsé."		)
    self.assertListEqual(
        A_,		[
            SPIECE_UNDERLINE + "I",
            SPIECE_UNDERLINE + "was",
            SPIECE_UNDERLINE + "b",
            "or",
            "n",
            SPIECE_UNDERLINE + "in",
            SPIECE_UNDERLINE + "",
            "9",
            "2",
            "0",
            "0",
            "0",
            ",",
            SPIECE_UNDERLINE + "and",
            SPIECE_UNDERLINE + "this",
            SPIECE_UNDERLINE + "is",
            SPIECE_UNDERLINE + "f",
            "al",
            "s",
            "é",
            ".",
        ],		)
    UpperCAmelCase__						=tokenizer.convert_tokens_to_ids(A_		)
    self.assertListEqual(
        A_,		[
            value + tokenizer.fairseq_offset
            for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
            #                                       ^ unk: 2 + 1 = 3                  unk: 2 + 1 = 3 ^
        ],		)

    UpperCAmelCase__						=tokenizer.convert_ids_to_tokens(A_		)
    self.assertListEqual(
        A_,		[
            SPIECE_UNDERLINE + "I",
            SPIECE_UNDERLINE + "was",
            SPIECE_UNDERLINE + "b",
            "or",
            "n",
            SPIECE_UNDERLINE + "in",
            SPIECE_UNDERLINE + "",
            "<unk>",
            "2",
            "0",
            "0",
            "0",
            ",",
            SPIECE_UNDERLINE + "and",
            SPIECE_UNDERLINE + "this",
            SPIECE_UNDERLINE + "is",
            SPIECE_UNDERLINE + "f",
            "al",
            "s",
            "<unk>",
            ".",
        ],		)






 def  __UpperCAmelCase						(  self		)	->       Optional[Any]:
    if not self.test_slow_tokenizer:
       # as we don't have a slow version, we can't compare the outputs between slow and fast versions
       return

    UpperCAmelCase__						=(self.rust_tokenizer_class, "hf-internal-testing/tiny-random-mbart", {})
    for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
       with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""		):
          UpperCAmelCase__						=self.rust_tokenizer_class.from_pretrained(A_,		**A_		)
          UpperCAmelCase__						=self.tokenizer_class.from_pretrained(A_,		**A_		)

          UpperCAmelCase__						=tempfile.mkdtemp()

          UpperCAmelCase__						=tokenizer_r.save_pretrained(A_		)
          UpperCAmelCase__						=tokenizer_p.save_pretrained(A_		)

          # Checks it save with the same files + the tokenizer.json file for the fast one
          self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files		)		)
          UpperCAmelCase__						=tuple(f for f in tokenizer_r_files if "tokenizer.json" not in f		)
          self.assertSequenceEqual(A_,		A_		)

          # Checks everything loads correctly in the same way
          UpperCAmelCase__						=tokenizer_r.from_pretrained(A_		)
          UpperCAmelCase__						=tokenizer_p.from_pretrained(A_		)

          # Check special tokens are set accordingly on Rust and Python
          for key in tokenizer_pp.special_tokens_map:
             self.assertTrue(hasattr(A_,		A_		)		)
             # self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
             # self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

          shutil.rmtree(A_		)

          # Save tokenizer rust, legacy_format=True
          UpperCAmelCase__						=tempfile.mkdtemp()

          UpperCAmelCase__						=tokenizer_r.save_pretrained(A_,		legacy_format=A_		)
          UpperCAmelCase__						=tokenizer_p.save_pretrained(A_		)

          # Checks it save with the same files
          self.assertSequenceEqual(A_,		A_		)

          # Checks everything loads correctly in the same way
          UpperCAmelCase__						=tokenizer_r.from_pretrained(A_		)
          UpperCAmelCase__						=tokenizer_p.from_pretrained(A_		)

          # Check special tokens are set accordingly on Rust and Python
          for key in tokenizer_pp.special_tokens_map:
             self.assertTrue(hasattr(A_,		A_		)		)

          shutil.rmtree(A_		)

          # Save tokenizer rust, legacy_format=False
          UpperCAmelCase__						=tempfile.mkdtemp()

          UpperCAmelCase__						=tokenizer_r.save_pretrained(A_,		legacy_format=A_		)
          UpperCAmelCase__						=tokenizer_p.save_pretrained(A_		)

          # Checks it saved the tokenizer.json file
          self.assertTrue(any("tokenizer.json" in f for f in tokenizer_r_files		)		)

          # Checks everything loads correctly in the same way
          UpperCAmelCase__						=tokenizer_r.from_pretrained(A_		)
          UpperCAmelCase__						=tokenizer_p.from_pretrained(A_		)

          # Check special tokens are set accordingly on Rust and Python
          for key in tokenizer_pp.special_tokens_map:
             self.assertTrue(hasattr(A_,		A_		)		)

          shutil.rmtree(A_		)

@require_torch
@require_sentencepiece
@require_tokenizers
class     snake_case_		(   unittest.TestCase							):






 '''simple docstring'''





 __UpperCamelCase       =      'facebook/mbart-large-en-ro'
 __UpperCamelCase       =      [
     ' UN Chief Says There Is No Military Solution in Syria',
     ' Secretary-General Ban Ki-moon says his response to Russia\'s stepped up military support for Syria is that "there is no military solution" to the nearly five-year conflict and more weapons will only worsen the violence and misery for millions of people.',
 ]
 __UpperCamelCase       =      [
     'Şeful ONU declară că nu există o soluţie militară în Siria',
     'Secretarul General Ban Ki-moon declară că răspunsul său la intensificarea sprijinului militar al Rusiei'
     ' pentru Siria este că "nu există o soluţie militară" la conflictul de aproape cinci ani şi că noi arme nu vor'
     ' face decât să înrăutăţească violenţele şi mizeria pentru milioane de oameni.',
 ]
 __UpperCamelCase       =      [8_2_7_4, 1_2_7_8_7_3, 2_5_9_1_6, 7, 8_6_2_2, 2_0_7_1, 4_3_8, 6_7_4_8_5, 5_3, 1_8_7_8_9_5, 2_3, 5_1_7_1_2, 2, EN_CODE]

 @classmethod
 def  __UpperCAmelCase						(  cls		)	->       int:
    UpperCAmelCase__						=MBartTokenizer.from_pretrained(
        cls.checkpoint_name,		src_lang="en_XX",		tgt_lang="ro_RO"		)
    UpperCAmelCase__						=1
    return cls

 def  __UpperCAmelCase						(  self		)	->       Any:
    self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ar_AR"],		25_0001		)
    self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["en_EN"],		25_0004		)
    self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ro_RO"],		25_0020		)

 def  __UpperCAmelCase						(  self		)	->       List[str]:
    UpperCAmelCase__						=self.tokenizer.batch_encode_plus(self.src_text		).input_ids[0]
    self.assertListEqual(self.expected_src_tokens,		A_		)

 def  __UpperCAmelCase						(  self		)	->       Any:
    self.assertIn(A_,		self.tokenizer.all_special_ids		)
    UpperCAmelCase__						=[RO_CODE, 884, 9019, 96, 9, 916, 8_6792, 36, 1_8743, 1_5596, 5, 2]
    UpperCAmelCase__						=self.tokenizer.decode(A_,		skip_special_tokens=A_		)
    UpperCAmelCase__						=self.tokenizer.decode(generated_ids[1:],		skip_special_tokens=A_		)
    self.assertEqual(A_,		A_		)
    self.assertNotIn(self.tokenizer.eos_token,		A_		)

 def  __UpperCAmelCase						(  self		)	->       Optional[int]:
    UpperCAmelCase__						=["this is gunna be a long sentence " * 20]
    assert isinstance(src_text[0],		A_		)
    UpperCAmelCase__						=10
    UpperCAmelCase__						=self.tokenizer(A_,		max_length=A_,		truncation=A_		).input_ids[0]
    self.assertEqual(ids[-2],		2		)
    self.assertEqual(ids[-1],		A_		)
    self.assertEqual(len(A_		),		A_		)

 def  __UpperCAmelCase						(  self		)	->       Tuple:
    self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "ar_AR"]		),		[25_0026, 25_0001]		)

 def  __UpperCAmelCase						(  self		)	->       Dict:
    UpperCAmelCase__						=tempfile.mkdtemp()
    UpperCAmelCase__						=self.tokenizer.fairseq_tokens_to_ids
    self.tokenizer.save_pretrained(A_		)
    UpperCAmelCase__						=MBartTokenizer.from_pretrained(A_		)
    self.assertDictEqual(new_tok.fairseq_tokens_to_ids,		A_		)

 @require_torch
 def  __UpperCAmelCase						(  self		)	->       Tuple:
    UpperCAmelCase__						=self.tokenizer(self.src_text,		text_target=self.tgt_text,		padding=A_,		return_tensors="pt"		)
    UpperCAmelCase__						=shift_tokens_right(batch["labels"],		self.tokenizer.pad_token_id		)

    # fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
    assert batch.input_ids[1][-2:].tolist() == [2, EN_CODE]
    assert batch.decoder_input_ids[1][0].tolist() == RO_CODE
    assert batch.decoder_input_ids[1][-1] == 2
    assert batch.labels[1][-2:].tolist() == [2, RO_CODE]

 @require_torch
 def  __UpperCAmelCase						(  self		)	->       List[Any]:
    UpperCAmelCase__						=self.tokenizer(
        self.src_text,		text_target=self.tgt_text,		padding=A_,		truncation=A_,		max_length=len(self.expected_src_tokens		),		return_tensors="pt",		)

    UpperCAmelCase__						=shift_tokens_right(batch["labels"],		self.tokenizer.pad_token_id		)

    self.assertIsInstance(A_,		A_		)

    self.assertEqual((2, 14),		batch.input_ids.shape		)
    self.assertEqual((2, 14),		batch.attention_mask.shape		)
    UpperCAmelCase__						=batch.input_ids.tolist()[0]
    self.assertListEqual(self.expected_src_tokens,		A_		)
    self.assertEqual(2,		batch.decoder_input_ids[0, -1]		)  # EOS
    # Test that special tokens are reset
    self.assertEqual(self.tokenizer.prefix_tokens,		[]		)
    self.assertEqual(self.tokenizer.suffix_tokens,		[self.tokenizer.eos_token_id, EN_CODE]		)

 def  __UpperCAmelCase						(  self		)	->       List[str]:
    UpperCAmelCase__						=self.tokenizer(self.src_text,		padding=A_,		truncation=A_,		max_length=3,		return_tensors="pt"		)
    UpperCAmelCase__						=self.tokenizer(
        text_target=self.tgt_text,		padding=A_,		truncation=A_,		max_length=10,		return_tensors="pt"		)
    UpperCAmelCase__						=targets["input_ids"]
    UpperCAmelCase__						=shift_tokens_right(A_,		self.tokenizer.pad_token_id		)

    self.assertEqual(batch.input_ids.shape[1],		3		)
    self.assertEqual(batch.decoder_input_ids.shape[1],		10		)






 @require_torch
 def  __UpperCAmelCase						(  self		)	->       int:
    UpperCAmelCase__						=self.tokenizer._build_translation_inputs(
        "A test",		return_tensors="pt",		src_lang="en_XX",		tgt_lang="ar_AR"		)

    self.assertEqual(
        nested_simplify(A_		),		{
            # A, test, EOS, en_XX
            "input_ids": [[62, 3034, 2, 25_0004]],
            "attention_mask": [[1, 1, 1, 1]],
            # ar_AR
            "forced_bos_token_id": 25_0001,
        },		)










import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links






def 				_UpperCAmelCase			(    A				,							A=7     ):




   '''simple docstring'''

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

   # The id of a workflow (not of a workflow run)
   UpperCAmelCase__						="636036"

   UpperCAmelCase__						=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}"""

   UpperCAmelCase__						=requests.get(A				,							headers=A     ).json()

   return result["workflow_runs"]






def 				_UpperCAmelCase			(    A     ):




   '''simple docstring'''

   UpperCAmelCase__						=get_daily_ci_runs(A     )
   UpperCAmelCase__						=None
   for workflow_run in workflow_runs:
      if workflow_run["status"] == "completed":
         UpperCAmelCase__						=workflow_run["id"]
         break

   return workflow_run_id






def 				_UpperCAmelCase			(    A				,							A				,							A     ):




   '''simple docstring'''

   UpperCAmelCase__						=get_last_daily_ci_runs(A     )
   if workflow_run_id is not None:
      UpperCAmelCase__						=get_artifacts_links(worflow_run_id=A				,							token=A     )
      for artifact_name in artifact_names:
         if artifact_name in artifacts_links:
            UpperCAmelCase__						=artifacts_links[artifact_name]
            download_artifact(
                artifact_name=A				,							artifact_url=A				,							output_dir=A				,							token=A     )






def 				_UpperCAmelCase			(    A				,							A				,							A     ):




   '''simple docstring'''

   get_last_daily_ci_artifacts(A				,							A				,							A     )

   UpperCAmelCase__						={}
   for artifact_name in artifact_names:
      UpperCAmelCase__						=os.path.join(A				,							F"""{artifact_name}.zip"""     )
      if os.path.isfile(A     ):
         UpperCAmelCase__						={}
         with zipfile.ZipFile(A     ) as z:
            for filename in z.namelist():
               if not os.path.isdir(A     ):
                  # read the file
                  with z.open(A     ) as f:
                     UpperCAmelCase__						=f.read().decode("UTF-8"     )

   return results



