'''simple docstring'''




import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


__UpperCAmelCase												=get_logger(__name__)




class    a__				:
     lowerCamelCase  :					List[str]							="dummy_data"
     lowerCamelCase  :					List[Any]							="datasets"
     lowerCamelCase  :					Optional[Any]							=False






     def __init__(			self		:		Optional[int]  ,    a		:		Union[str, Any]  ,    a		:		Optional[int]  ,    a		:		List[str]  ,    a		:		Optional[int] = None  ,    a		:		List[Any] = False  ,    a		:		str = True  ,    a		:		int = None  ,    ):





         """simple docstring"""



         __lowerCamelCase          =  0
         __lowerCamelCase          =  dataset_name
         __lowerCamelCase          =  cache_dir
         __lowerCamelCase          =  use_local_dummy_data
         __lowerCamelCase          =  config
         # download_callbacks take a single url as input
         __lowerCamelCase          =  download_callbacks or []
         # if False, it doesn't load existing files and it returns the paths of the dummy files relative
         # to the dummy_data zip file root
         __lowerCamelCase          =  load_existing_dummy_data

         # TODO(PVP, QL) might need to make this more general
         __lowerCamelCase          =  str(a   )
         # to be downloaded
         __lowerCamelCase          =  None
         __lowerCamelCase          =  None






     @property
     def        SCREAMING_SNAKE_CASE__       (			self		:		str   ):





         """simple docstring"""



         if self._dummy_file is None:
             __lowerCamelCase          =  self.download_dummy_data()
         return self._dummy_file






     @property
     def        SCREAMING_SNAKE_CASE__       (			self		:		Dict   ):





         """simple docstring"""



         if self.config is not None:
             # structure is dummy / config_name / version_name
             return os.path.join('''dummy'''  ,    self.config.name  ,    self.version_name   )
         # structure is dummy / version_name
         return os.path.join('''dummy'''  ,    self.version_name   )






     @property
     def        SCREAMING_SNAKE_CASE__       (			self		:		int   ):





         """simple docstring"""



         return os.path.join(self.dummy_data_folder  ,    '''dummy_data.zip'''   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		Any   ):





         """simple docstring"""



         __lowerCamelCase          =  (
             self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
         )

         __lowerCamelCase          =  cached_path(
             a  ,    cache_dir=self.cache_dir  ,    extract_compressed_file=a  ,    force_extract=a   )

         return os.path.join(a  ,    self.dummy_file_name   )






     @property
     def        SCREAMING_SNAKE_CASE__       (			self		:		List[str]   ):





         """simple docstring"""



         return os.path.join(self.datasets_scripts_dir  ,    self.dataset_name  ,    self.dummy_zip_file   )






     @property
     def        SCREAMING_SNAKE_CASE__       (			self		:		Dict   ):





         """simple docstring"""



         if self._bucket_url is None:
             __lowerCamelCase          =  hf_github_url(self.dataset_name  ,    self.dummy_zip_file.replace(os.sep  ,    '''/'''   )   )
         return self._bucket_url






     @property
     def        SCREAMING_SNAKE_CASE__       (			self		:		str   ):





         """simple docstring"""



         if os.path.isdir(self.dummy_file   ):
             return self.dummy_file
         # else cut off path to file -> example `xsum`.
         return "/".join(self.dummy_file.replace(os.sep  ,    '''/'''   ).split('''/'''   )[:-1]   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		str  ,    a		:		Tuple  ,    *a		:		Union[str, Any]   ):





         """simple docstring"""



         if self.load_existing_dummy_data:
             # dummy data is downloaded and tested
             __lowerCamelCase          =  self.dummy_file
         else:
             # dummy data cannot be downloaded and only the path to dummy file is returned
             __lowerCamelCase          =  self.dummy_file_name

         # special case when data_url is a dict
         if isinstance(a  ,    a   ):
             return self.create_dummy_data_dict(a  ,    a   )
         elif isinstance(a  ,    (list, tuple)   ):
             return self.create_dummy_data_list(a  ,    a   )
         else:
             return self.create_dummy_data_single(a  ,    a   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		Dict  ,    a		:		int  ,    *a		:		Optional[int]   ):





         """simple docstring"""



         return self.download_and_extract(a   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		Union[str, Any]  ,    a		:		int  ,    a		:		Tuple   ):





         """simple docstring"""



         return self.download_and_extract(a   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		Tuple  ,    a		:		Tuple  ,    *a		:		str  ,    **a		:		Union[str, Any]   ):





         """simple docstring"""



         return path






     def        SCREAMING_SNAKE_CASE__       (			self		:		Optional[int]   ):





         """simple docstring"""



         return {}






     def        SCREAMING_SNAKE_CASE__       (			self		:		Union[str, Any]  ,    a		:		List[str]  ,    a		:		List[str]   ):





         """simple docstring"""



         __lowerCamelCase          =  {}
         for key, single_urls in data_url.items():
             for download_callback in self.download_callbacks:
                 if isinstance(a  ,    a   ):
                     for single_url in single_urls:
                         download_callback(a   )
                 else:
                     __lowerCamelCase          =  single_urls
                     download_callback(a   )
            # we force the name of each key to be the last file / folder name of the url path
            # if the url has arguments, we need to encode them with urllib.parse.quote_plus
             if isinstance(a  ,    a   ):
                 __lowerCamelCase          =  [os.path.join(a  ,    urllib.parse.quote_plus(Path(a   ).name   )   ) for x in single_urls]
             else:
                 __lowerCamelCase          =  single_urls
                 __lowerCamelCase          =  os.path.join(a  ,    urllib.parse.quote_plus(Path(a   ).name   )   )
             __lowerCamelCase          =  value

         # make sure that values are unique
         if all(isinstance(a  ,    a   ) for i in dummy_data_dict.values()   ) and len(set(dummy_data_dict.values()   )   ) < len(
             dummy_data_dict.values()   ):
             # append key to value to make its name unique
             __lowerCamelCase          =  {key: value + key for key, value in dummy_data_dict.items()}

         return dummy_data_dict






     def        SCREAMING_SNAKE_CASE__       (			self		:		str  ,    a		:		Union[str, Any]  ,    a		:		Tuple   ):





         """simple docstring"""



         __lowerCamelCase          =  []
         # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
         __lowerCamelCase          =  all(bool(re.findall('''[0-9]{3,}-of-[0-9]{3,}'''  ,    a   )   ) for url in data_url   )
         __lowerCamelCase          =  all(
             url.startswith('''https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed'''   ) for url in data_url   )
         if data_url and (is_tf_records or is_pubmed_records):
             __lowerCamelCase          =  [data_url[0]] * len(a   )
         for single_url in data_url:
             for download_callback in self.download_callbacks:
                 download_callback(a   )
             # we force the name of each key to be the last file / folder name of the url path
             # if the url has arguments, we need to encode them with urllib.parse.quote_plus
             __lowerCamelCase          =  os.path.join(a  ,    urllib.parse.quote_plus(single_url.split('''/'''   )[-1]   )   )
             dummy_data_list.append(a   )
         return dummy_data_list






     def        SCREAMING_SNAKE_CASE__       (			self		:		List[Any]  ,    a		:		Union[str, Any]  ,    a		:		Optional[Any]   ):





         """simple docstring"""



         for download_callback in self.download_callbacks:
             download_callback(a   )
         # we force the name of each key to be the last file / folder name of the url path
         # if the url has arguments, we need to encode them with urllib.parse.quote_plus
         __lowerCamelCase          =  os.path.join(a  ,    urllib.parse.quote_plus(data_url.split('''/'''   )[-1]   )   )
         if os.path.exists(a   ) or not self.load_existing_dummy_data:
             return value
         else:
             # Backward compatibility, maybe deprecate at one point.
             # For many datasets with single url calls to dl_manager.download_and_extract,
             # the dummy_data.zip file is actually the zipped downloaded file
             # while now we expected the dummy_data.zip file to be a directory containing
             # the downloaded file.
             return path_to_dummy_data






     def        SCREAMING_SNAKE_CASE__       (			self		:		List[str]   ):





         """simple docstring"""



         pass






     def        SCREAMING_SNAKE_CASE__       (			self		:		Optional[Any]   ):





         """simple docstring"""



         pass






     def        SCREAMING_SNAKE_CASE__       (			self		:		List[Any]  ,    a		:		List[Any]   ):





         """simple docstring"""



         def _iter_archive_members(a		:		List[str]   ):
             # this preserves the order of the members inside the ZIP archive
             __lowerCamelCase          =  Path(self.dummy_file   ).parent
             __lowerCamelCase          =  path.relative_to(a   )
             with ZipFile(self.local_path_to_dummy_data   ) as zip_file:
                 __lowerCamelCase          =  zip_file.namelist()
             for member in members:
                 if member.startswith(relative_path.as_posix()   ):
                     yield dummy_parent_path.joinpath(a   )

         __lowerCamelCase          =  Path(a   )
         __lowerCamelCase          =  _iter_archive_members(a   ) if self.use_local_dummy_data else path.rglob('''*'''   )
         for file_path in file_paths:
             if file_path.is_file() and not file_path.name.startswith(('''.''', '''__''')   ):
                 yield file_path.relative_to(a   ).as_posix(), file_path.open('''rb'''   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		Any  ,    a		:		Tuple   ):





         """simple docstring"""



         if not isinstance(a  ,    a   ):
             __lowerCamelCase          =  [paths]
         for path in paths:
             if os.path.isfile(a   ):
                 if os.path.basename(a   ).startswith(('''.''', '''__''')   ):
                     return
                 yield path
             else:
                 for dirpath, dirnames, filenames in os.walk(a   ):
                     if os.path.basename(a   ).startswith(('''.''', '''__''')   ):
                         continue
                     dirnames.sort()
                     for filename in sorted(a   ):
                         if filename.startswith(('''.''', '''__''')   ):
                             continue
                         yield os.path.join(a  ,    a   )

'''simple docstring'''




import time
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device

from ..test_modeling_common import ids_tensor


if is_torch_available():
  import torch

  from transformers.generation import (
      MaxLengthCriteria,
      MaxNewTokensCriteria,
      MaxTimeCriteria,
      StoppingCriteriaList,
      validate_stopping_criteria,
  )




@require_torch
class    a__				(       unittest.TestCase			):






     def        SCREAMING_SNAKE_CASE__       (			self		:		Optional[int]  ,    a		:		int   ):





         """simple docstring"""



         __lowerCamelCase          =  3
         __lowerCamelCase          =  2_50

         __lowerCamelCase          =  ids_tensor((batch_size, length)  ,    a   )
         __lowerCamelCase          =  torch.ones((batch_size, length)  ,    device=a  ,    dtype=torch.float   ) / length
         return input_ids, scores






     def        SCREAMING_SNAKE_CASE__       (			self		:		List[Any]   ):





         """simple docstring"""



         __lowerCamelCase     ,  __lowerCamelCase          =  self._get_tensors(5   )

         __lowerCamelCase          =  StoppingCriteriaList(
             [
                 MaxLengthCriteria(max_length=10   ),
                 MaxTimeCriteria(max_time=0.1   ),
             ]   )

         self.assertFalse(criteria(a  ,    a   )   )

         __lowerCamelCase     ,  __lowerCamelCase          =  self._get_tensors(9   )
         self.assertFalse(criteria(a  ,    a   )   )

         __lowerCamelCase     ,  __lowerCamelCase          =  self._get_tensors(10   )
         self.assertTrue(criteria(a  ,    a   )   )






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





         """simple docstring"""



         __lowerCamelCase          =  MaxLengthCriteria(max_length=10   )

         __lowerCamelCase     ,  __lowerCamelCase          =  self._get_tensors(5   )
         self.assertFalse(criteria(a  ,    a   )   )

         __lowerCamelCase     ,  __lowerCamelCase          =  self._get_tensors(9   )
         self.assertFalse(criteria(a  ,    a   )   )

         __lowerCamelCase     ,  __lowerCamelCase          =  self._get_tensors(10   )
         self.assertTrue(criteria(a  ,    a   )   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		List[Any]   ):





         """simple docstring"""



         __lowerCamelCase          =  MaxNewTokensCriteria(start_length=5  ,    max_new_tokens=5   )

         __lowerCamelCase     ,  __lowerCamelCase          =  self._get_tensors(5   )
         self.assertFalse(criteria(a  ,    a   )   )

         __lowerCamelCase     ,  __lowerCamelCase          =  self._get_tensors(9   )
         self.assertFalse(criteria(a  ,    a   )   )

         __lowerCamelCase     ,  __lowerCamelCase          =  self._get_tensors(10   )
         self.assertTrue(criteria(a  ,    a   )   )

         __lowerCamelCase          =  StoppingCriteriaList([criteria]   )
         self.assertEqual(criteria_list.max_length  ,    10   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		int   ):





         """simple docstring"""



         __lowerCamelCase     ,  __lowerCamelCase          =  self._get_tensors(5   )

         __lowerCamelCase          =  MaxTimeCriteria(max_time=0.1   )
         self.assertFalse(criteria(a  ,    a   )   )

         __lowerCamelCase          =  MaxTimeCriteria(max_time=0.1  ,    initial_timestamp=time.time() - 0.2   )
         self.assertTrue(criteria(a  ,    a   )   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		List[Any]   ):





         """simple docstring"""



         validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10   )]   )  ,    10   )

         with self.assertWarns(a   ):
             validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10   )]   )  ,    11   )

         __lowerCamelCase          =  validate_stopping_criteria(StoppingCriteriaList()  ,    11   )

         self.assertEqual(len(a   )  ,    1   )
