

# Lint as: python3
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__  :      Optional[Any]			=    get_logger(__name__)



class       __snake_case  :
  __lowerCAmelCase     :	Optional[int]						 =  'dummy_data'
  __lowerCAmelCase     :	int						 =  'datasets'
  __lowerCAmelCase     :	str						 =  False

  def __init__(					self						,		_A						,		_A						,		_A						,		_A = None						,		_A = False						,		_A = True						,		_A = None						,		):
      SCREAMING_SNAKE_CASE_									=						0
      SCREAMING_SNAKE_CASE_									=						dataset_name
      SCREAMING_SNAKE_CASE_									=						cache_dir
      SCREAMING_SNAKE_CASE_									=						use_local_dummy_data
      SCREAMING_SNAKE_CASE_									=						config
      # download_callbacks take a single url as input
      SCREAMING_SNAKE_CASE_									=						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
      SCREAMING_SNAKE_CASE_									=						load_existing_dummy_data

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

  @property
  def 						lowerCAmelCase__     (					self):
      if self._dummy_file is None:
          SCREAMING_SNAKE_CASE_									=						self.download_dummy_data()
      return self._dummy_file

  @property
  def 						lowerCAmelCase__     (					self):
      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 						lowerCAmelCase__     (					self):
      return os.path.join(self.dummy_data_folder						,		'dummy_data.zip')

  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						(
          self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
      )

      SCREAMING_SNAKE_CASE_									=						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 						lowerCAmelCase__     (					self):
      return os.path.join(self.datasets_scripts_dir						,		self.dataset_name						,		self.dummy_zip_file)

  @property
  def 						lowerCAmelCase__     (					self):
      if self._bucket_url is None:
          SCREAMING_SNAKE_CASE_									=						hf_github_url(self.dataset_name						,		self.dummy_zip_file.replace(os.sep						,		'/'))
      return self._bucket_url

  @property
  def 						lowerCAmelCase__     (					self):
      # return full path if its a dir
      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 						lowerCAmelCase__     (					self						,		_A						,		*_A):
      if self.load_existing_dummy_data:
          # dummy data is downloaded and tested
          SCREAMING_SNAKE_CASE_									=						self.dummy_file
      else:
          # dummy data cannot be downloaded and only the path to dummy file is returned
          SCREAMING_SNAKE_CASE_									=						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 						lowerCAmelCase__     (					self						,		_A						,		*_A):
      return self.download_and_extract(_A)

  def 						lowerCAmelCase__     (					self						,		_A						,		_A):
      return self.download_and_extract(_A)

  def 						lowerCAmelCase__     (					self						,		_A						,		*_A						,		**_A):
      return path

  def 						lowerCAmelCase__     (					self):
      return {}

  def 						lowerCAmelCase__     (					self						,		_A						,		_A):
      SCREAMING_SNAKE_CASE_									=						{}
      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:
                  SCREAMING_SNAKE_CASE_									=						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):
              SCREAMING_SNAKE_CASE_									=						[os.path.join(_A						,		urllib.parse.quote_plus(Path(_A).name)) for x in single_urls]
          else:
              SCREAMING_SNAKE_CASE_									=						single_urls
              SCREAMING_SNAKE_CASE_									=						os.path.join(_A						,		urllib.parse.quote_plus(Path(_A).name))
          SCREAMING_SNAKE_CASE_									=						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
          SCREAMING_SNAKE_CASE_									=						{key: value + key for key, value in dummy_data_dict.items()}

      return dummy_data_dict

  def 						lowerCAmelCase__     (					self						,		_A						,		_A):
      SCREAMING_SNAKE_CASE_									=						[]
      # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
      SCREAMING_SNAKE_CASE_									=						all(bool(re.findall('[0-9]{3,}-of-[0-9]{3,}'						,		_A)) for url in data_url)
      SCREAMING_SNAKE_CASE_									=						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):
          SCREAMING_SNAKE_CASE_									=						[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
          SCREAMING_SNAKE_CASE_									=						os.path.join(_A						,		urllib.parse.quote_plus(single_url.split('/')[-1]))
          dummy_data_list.append(_A)
      return dummy_data_list

  def 						lowerCAmelCase__     (					self						,		_A						,		_A):
      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
      SCREAMING_SNAKE_CASE_									=						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 						lowerCAmelCase__     (					self):
      pass

  def 						lowerCAmelCase__     (					self):
      pass

  def 						lowerCAmelCase__     (					self						,		_A):
      def _iter_archive_members(_A):
          # this preserves the order of the members inside the ZIP archive
          SCREAMING_SNAKE_CASE_									=						Path(self.dummy_file).parent
          SCREAMING_SNAKE_CASE_									=						path.relative_to(_A)
          with ZipFile(self.local_path_to_dummy_data) as zip_file:
              SCREAMING_SNAKE_CASE_									=						zip_file.namelist()
          for member in members:
              if member.startswith(relative_path.as_posix()):
                  yield dummy_parent_path.joinpath(_A)

      SCREAMING_SNAKE_CASE_									=						Path(_A)
      SCREAMING_SNAKE_CASE_									=						_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 						lowerCAmelCase__     (					self						,		_A):
      if not isinstance(_A						,		_A):
          SCREAMING_SNAKE_CASE_									=						[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)





import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


UpperCamelCase__  :      int			=    "\nHugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.\n\nIn March 2021, Hugging Face raised $40 million in a Series B funding round.[3]\n\nOn April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]\n"



class       __snake_case  (    unittest.TestCase     , lowerCAmelCase__       ):

  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						load_tool('text-question-answering')
      self.tool.setup()
      SCREAMING_SNAKE_CASE_									=						load_tool('text-question-answering'						,		remote=_A)

  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						self.tool(_A						,		'What did Hugging Face do in April 2021?')
      self.assertEqual(_A						,		'launched the BigScience Research Workshop')

  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						self.remote_tool(_A						,		'What did Hugging Face do in April 2021?')
      self.assertEqual(_A						,		'launched the BigScience Research Workshop')

  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						self.tool(text=_A						,		question='What did Hugging Face do in April 2021?')
      self.assertEqual(_A						,		'launched the BigScience Research Workshop')


  def 						lowerCAmelCase__     (					self):
      SCREAMING_SNAKE_CASE_									=						self.remote_tool(text=_A						,		question='What did Hugging Face do in April 2021?')
      self.assertEqual(_A						,		'launched the BigScience Research Workshop')


