
"""simple docstring"""



import warnings

from transformers import AutoTokenizer
from transformers.utils import is_torch_available
from transformers.utils.generic import ExplicitEnum

from ...processing_utils import ProcessorMixin


if is_torch_available():
 import torch

class       lowerCAmelCase__				(						A_	):
     __a						=					"""char"""
     __a						=					"""bpe"""
     __a						=					"""wp"""






UpperCAmelCase__          = (DecodeType.CHARACTER, DecodeType.BPE, DecodeType.WORDPIECE)

class       lowerCAmelCase__				(						A_	):
     __a						=					["""image_processor""", """char_tokenizer"""]
     __a						=					"""ViTImageProcessor"""
     __a						=					"""MgpstrTokenizer"""







     def __init__(							self			:			str    ,      _lowerCamelCase			:			List[str]=None    ,      _lowerCamelCase			:			Any=None    ,      **_lowerCamelCase			:			List[Any]			):
       _snake_case					     =       None
       if "feature_extractor" in kwargs:
         warnings.warn(
             '''The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'''
             ''' instead.'''    ,      _lowerCamelCase    ,      )
         _snake_case					     =       kwargs.pop('''feature_extractor'''			)

       _snake_case					     =       image_processor if image_processor is not None else feature_extractor
       if image_processor is None:
         raise ValueError('''You need to specify an `image_processor`.'''			)
       if tokenizer is None:
         raise ValueError('''You need to specify a `tokenizer`.'''			)

       _snake_case					     =       tokenizer
       _snake_case					     =       AutoTokenizer.from_pretrained('''gpt2'''			)
       _snake_case					     =       AutoTokenizer.from_pretrained('''bert-base-uncased'''			)

       super().__init__(_lowerCamelCase    ,      _lowerCamelCase			)







     def __call__(							self			:			int    ,      _lowerCamelCase			:			Any=None    ,      _lowerCamelCase			:			Any=None    ,      _lowerCamelCase			:			Optional[int]=None    ,      **_lowerCamelCase			:			Dict			):
       if images is None and text is None:
         raise ValueError('''You need to specify either an `images` or `text` input to process.'''			)

       if images is not None:
         _snake_case					     =       self.image_processor(_lowerCamelCase    ,      return_tensors=_lowerCamelCase    ,      **_lowerCamelCase			)
       if text is not None:
         _snake_case					     =       self.char_tokenizer(_lowerCamelCase    ,      return_tensors=_lowerCamelCase    ,      **_lowerCamelCase			)

       if text is None:
         return inputs
       elif images is None:
         return encodings
       else:
         _snake_case					     =       encodings['''input_ids''']
         return inputs







     def      lowercase	(							self			:			Optional[Any]    ,      _lowerCamelCase			:			Optional[Any]			):
       _snake_case     ,					_snake_case     ,					_snake_case					     =       sequences
       _snake_case					     =       char_preds.size(0			)

       _snake_case     ,					_snake_case					     =       self._decode_helper(_lowerCamelCase    ,      '''char'''			)
       _snake_case     ,					_snake_case					     =       self._decode_helper(_lowerCamelCase    ,      '''bpe'''			)
       _snake_case     ,					_snake_case					     =       self._decode_helper(_lowerCamelCase    ,      '''wp'''			)

       _snake_case					     =       []
       _snake_case					     =       []
       for i in range(_lowerCamelCase			):
         _snake_case					     =       [char_scores[i], bpe_scores[i], wp_scores[i]]
         _snake_case					     =       [char_strs[i], bpe_strs[i], wp_strs[i]]
         _snake_case					     =       scores.index(max(_lowerCamelCase			)			)
         final_strs.append(strs[max_score_index]			)
         final_scores.append(scores[max_score_index]			)

       _snake_case					     =       {}
       _snake_case					     =       final_strs
       _snake_case					     =       final_scores
       _snake_case					     =       char_strs
       _snake_case					     =       bpe_strs
       _snake_case					     =       wp_strs
       return out







     def      lowercase	(							self			:			int    ,      _lowerCamelCase			:			Optional[Any]    ,      _lowerCamelCase			:			List[str]			):
       if format == DecodeType.CHARACTER:
         _snake_case					     =       self.char_decode
         _snake_case					     =       1
         _snake_case					     =       '''[s]'''
       elif format == DecodeType.BPE:
         _snake_case					     =       self.bpe_decode
         _snake_case					     =       2
         _snake_case					     =       '''#'''
       elif format == DecodeType.WORDPIECE:
         _snake_case					     =       self.wp_decode
         _snake_case					     =       102
         _snake_case					     =       '''[SEP]'''
       else:
         raise ValueError(f'''Format {format} is not supported.'''			)

       _snake_case     ,					_snake_case					     =       [], []
       _snake_case					     =       pred_logits.size(0			)
       _snake_case					     =       pred_logits.size(1			)
       _snake_case     ,					_snake_case					     =       pred_logits.topk(1    ,      dim=-1    ,      largest=_lowerCamelCase    ,      sorted=_lowerCamelCase			)
       _snake_case					     =       preds_index.view(-1    ,      _lowerCamelCase			)[:, 1:]
       _snake_case					     =       decoder(_lowerCamelCase			)
       _snake_case     ,					_snake_case					     =       torch.nn.functional.softmax(_lowerCamelCase    ,      dim=2			).max(dim=2			)
       _snake_case					     =       preds_max_prob[:, 1:]

       for index in range(_lowerCamelCase			):
         _snake_case					     =       preds_str[index].find(_lowerCamelCase			)
         _snake_case					     =       preds_str[index][:pred_eos]
         _snake_case					     =       preds_index[index].cpu().tolist()
         _snake_case					     =       pred_index.index(_lowerCamelCase			) if eos_token in pred_index else -1
         _snake_case					     =       preds_max_prob[index][: pred_eos_index + 1]
         _snake_case					     =       pred_max_prob.cumprod(dim=0			)[-1] if pred_max_prob.nelement() != 0 else 0.0
         dec_strs.append(_lowerCamelCase			)
         conf_scores.append(_lowerCamelCase			)

       return dec_strs, conf_scores







     def      lowercase	(							self			:			Dict    ,      _lowerCamelCase			:			List[str]			):
       _snake_case					     =       [seq.replace(''' '''    ,      ''''''			) for seq in self.char_tokenizer.batch_decode(_lowerCamelCase			)]
       return decode_strs







     def      lowercase	(							self			:			int    ,      _lowerCamelCase			:			Tuple			):
       return self.bpe_tokenizer.batch_decode(_lowerCamelCase			)







     def      lowercase	(							self			:			List[Any]    ,      _lowerCamelCase			:			Optional[Any]			):
       _snake_case					     =       [seq.replace(''' '''    ,      ''''''			) for seq in self.wp_tokenizer.batch_decode(_lowerCamelCase			)]
       return decode_strs





"""simple docstring"""



import json
import os
from pathlib import Path

import pytest

from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename


UpperCAmelCase__          = 'http://www.mocksite.com/file1.txt'
UpperCAmelCase__          = '"text": ["foo", "foo"]'
UpperCAmelCase__          = '6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8'

class       lowerCAmelCase__				:
     __a						=					200
     __a						=					{"""Content-Length""": """100"""}
     __a						=					{}







     def      lowercase	(							self			:			List[str]    ,      **_lowerCamelCase			:			List[str]			):
       return [bytes(_lowerCamelCase    ,      '''utf-8'''			)]






def 					_UpperCAmelCase      ( *__lowerCamelCase   :       List[str] ,					**__lowerCamelCase   :       Dict		)     ->					Dict:
  return MockResponse()
@pytest.mark.parametrize('''urls_type''' ,					[str, list, dict]		)
def 					_UpperCAmelCase      ( __lowerCamelCase   :       Union[str, Any] ,					__lowerCamelCase   :       List[str] ,					__lowerCamelCase   :       str		)     ->					int:
  import requests

  monkeypatch.setattr(__lowerCamelCase ,					'''request''' ,					__lowerCamelCase		)

  _snake_case					     =       URL
  if issubclass(__lowerCamelCase ,					__lowerCamelCase		):
    _snake_case					     =       url
  elif issubclass(__lowerCamelCase ,					__lowerCamelCase		):
    _snake_case					     =       [url]
  elif issubclass(__lowerCamelCase ,					__lowerCamelCase		):
    _snake_case					     =       {'''train''': url}
  _snake_case					     =       '''dummy'''
  _snake_case					     =       '''downloads'''
  _snake_case					     =       tmp_path
  _snake_case					     =       DownloadConfig(
      cache_dir=os.path.join(__lowerCamelCase ,					__lowerCamelCase		) ,					use_etag=__lowerCamelCase ,					)
  _snake_case					     =       DownloadManager(dataset_name=__lowerCamelCase ,					download_config=__lowerCamelCase		)
  _snake_case					     =       dl_manager.download(__lowerCamelCase		)
  _snake_case					     =       urls
  for downloaded_paths in [downloaded_paths]:
    if isinstance(__lowerCamelCase ,					__lowerCamelCase		):
      _snake_case					     =       [downloaded_paths]
      _snake_case					     =       [urls]
    elif isinstance(__lowerCamelCase ,					__lowerCamelCase		):
      assert "train" in downloaded_paths.keys()
      _snake_case					     =       downloaded_paths.values()
      _snake_case					     =       urls.values()
    assert downloaded_paths
    for downloaded_path, input_url in zip(__lowerCamelCase ,					__lowerCamelCase		):
      assert downloaded_path == dl_manager.downloaded_paths[input_url]
      _snake_case					     =       Path(__lowerCamelCase		)
      _snake_case					     =       downloaded_path.parts
      assert parts[-1] == HASH
      assert parts[-2] == cache_subdir
      assert downloaded_path.exists()
      _snake_case					     =       downloaded_path.read_text()
      assert content == CONTENT
      _snake_case					     =       downloaded_path.with_suffix('''.json'''		)
      assert metadata_downloaded_path.exists()
      _snake_case					     =       json.loads(metadata_downloaded_path.read_text()		)
      assert metadata_content == {"url": URL, "etag": None}
@pytest.mark.parametrize('''paths_type''' ,					[str, list, dict]		)
def 					_UpperCAmelCase      ( __lowerCamelCase   :       int ,					__lowerCamelCase   :       str ,					__lowerCamelCase   :       Optional[int]		)     ->					int:
  _snake_case					     =       str(__lowerCamelCase		)
  if issubclass(__lowerCamelCase ,					__lowerCamelCase		):
    _snake_case					     =       filename
  elif issubclass(__lowerCamelCase ,					__lowerCamelCase		):
    _snake_case					     =       [filename]
  elif issubclass(__lowerCamelCase ,					__lowerCamelCase		):
    _snake_case					     =       {'''train''': filename}
  _snake_case					     =       '''dummy'''
  _snake_case					     =       xz_file.parent
  _snake_case					     =       '''extracted'''
  _snake_case					     =       DownloadConfig(
      cache_dir=__lowerCamelCase ,					use_etag=__lowerCamelCase ,					)
  _snake_case					     =       DownloadManager(dataset_name=__lowerCamelCase ,					download_config=__lowerCamelCase		)
  _snake_case					     =       dl_manager.extract(__lowerCamelCase		)
  _snake_case					     =       paths
  for extracted_paths in [extracted_paths]:
    if isinstance(__lowerCamelCase ,					__lowerCamelCase		):
      _snake_case					     =       [extracted_paths]
      _snake_case					     =       [paths]
    elif isinstance(__lowerCamelCase ,					__lowerCamelCase		):
      assert "train" in extracted_paths.keys()
      _snake_case					     =       extracted_paths.values()
      _snake_case					     =       paths.values()
    assert extracted_paths
    for extracted_path, input_path in zip(__lowerCamelCase ,					__lowerCamelCase		):
      assert extracted_path == dl_manager.extracted_paths[input_path]
      _snake_case					     =       Path(__lowerCamelCase		)
      _snake_case					     =       extracted_path.parts
      assert parts[-1] == hash_url_to_filename(__lowerCamelCase ,					etag=__lowerCamelCase		)
      assert parts[-2] == extracted_subdir
      assert extracted_path.exists()
      _snake_case					     =       extracted_path.read_text()
      _snake_case					     =       text_file.read_text()
      assert extracted_file_content == expected_file_content
def 					_UpperCAmelCase      ( __lowerCamelCase   :       Tuple ,					__lowerCamelCase   :       List[Any]		)     ->					Dict:
  assert path.endswith('''.jsonl'''		)
  for num_items, line in enumerate(__lowerCamelCase ,					start=1		):
    _snake_case					     =       json.loads(line.decode('''utf-8'''		)		)
    assert item.keys() == {"col_1", "col_2", "col_3"}
  assert num_items == 4
@pytest.mark.parametrize('''archive_jsonl''' ,					['''tar_jsonl_path''', '''zip_jsonl_path''']		)
def 					_UpperCAmelCase      ( __lowerCamelCase   :       Dict ,					__lowerCamelCase   :       str		)     ->					Dict:
  _snake_case					     =       request.getfixturevalue(__lowerCamelCase		)
  _snake_case					     =       DownloadManager()
  for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(__lowerCamelCase		) ,					start=1		):
    _test_jsonl(__lowerCamelCase ,					__lowerCamelCase		)
  assert num_jsonl == 2
@pytest.mark.parametrize('''archive_nested_jsonl''' ,					['''tar_nested_jsonl_path''', '''zip_nested_jsonl_path''']		)
def 					_UpperCAmelCase      ( __lowerCamelCase   :       str ,					__lowerCamelCase   :       List[Any]		)     ->					Tuple:
  _snake_case					     =       request.getfixturevalue(__lowerCamelCase		)
  _snake_case					     =       DownloadManager()
  for num_tar, (path, file) in enumerate(dl_manager.iter_archive(__lowerCamelCase		) ,					start=1		):
    for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(__lowerCamelCase		) ,					start=1		):
      _test_jsonl(__lowerCamelCase ,					__lowerCamelCase		)
  assert num_tar == 1
  assert num_jsonl == 2

def 					_UpperCAmelCase      ( __lowerCamelCase   :       Tuple		)     ->					List[Any]:
  _snake_case					     =       DownloadManager()
  for num_file, file in enumerate(dl_manager.iter_files(__lowerCamelCase		) ,					start=1		):
    assert os.path.basename(__lowerCamelCase		) == ("test.txt" if num_file == 1 else "train.txt")
  assert num_file == 2



