






'''simple docstring'''
import importlib
import os

import fsspec
import pytest
from fsspec import register_implementation
from fsspec.registry import _registry as _fsspec_registry

from datasets.filesystems import COMPRESSION_FILESYSTEMS, HfFileSystem, extract_path_from_uri, is_remote_filesystem

from .utils import require_lza, require_zstandard




def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase							):


   """simple docstring"""




   assert "mock" in _fsspec_registry
   assert "bz2" in _fsspec_registry




def 		__SCREAMING_SNAKE_CASE					(  ):


   """simple docstring"""




   assert "mock" not in _fsspec_registry
   assert "bz2" in _fsspec_registry




def 		__SCREAMING_SNAKE_CASE					(  ):


   """simple docstring"""




   lowercase_	:    Optional[Any]           =     "mock-s3-bucket"
   lowercase_	:    Any           =     F"""s3://{mock_bucket}"""
   lowercase_	:    int           =     extract_path_from_uri(_UpperCamelCase							)
   assert dataset_path.startswith("s3://"							) is False

   lowercase_	:    str           =     "./local/path"
   lowercase_	:    int           =     extract_path_from_uri(_UpperCamelCase							)
   assert dataset_path == new_dataset_path




def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase							):


   """simple docstring"""




   lowercase_	:    List[Any]           =     is_remote_filesystem(_UpperCamelCase							)
   assert is_remote is True

   lowercase_	:    str           =     fsspec.filesystem("file"							)

   lowercase_	:    List[Any]           =     is_remote_filesystem(_UpperCamelCase							)
   assert is_remote is False




@pytest.mark.parametrize("compression_fs_class"						,		_UpperCamelCase							)
def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase						,		_UpperCamelCase						,		_UpperCamelCase						,		_UpperCamelCase						,		_UpperCamelCase						,		_UpperCamelCase						,		_UpperCamelCase							):


   """simple docstring"""




   lowercase_	:    List[str]           =     {"gzip": gz_file, "xz": xz_file, "zstd": zstd_file, "bz2": bza_file, "lz4": lza_file}
   lowercase_	:    Any           =     input_paths[compression_fs_class.protocol]
   if input_path is None:
      lowercase_	:    Dict           =     F"""for '{compression_fs_class.protocol}' compression protocol, """
      if compression_fs_class.protocol == "lz4":
         reason += require_lza.kwargs["reason"]
      elif compression_fs_class.protocol == "zstd":
         reason += require_zstandard.kwargs["reason"]
      pytest.skip(_UpperCamelCase							)
   lowercase_	:    List[str]           =     fsspec.filesystem(compression_fs_class.protocol						,		fo=_UpperCamelCase							)
   assert isinstance(_UpperCamelCase						,		_UpperCamelCase							)
   lowercase_	:    Optional[Any]           =     os.path.basename(_UpperCamelCase							)
   lowercase_	:    str           =     expected_filename[: expected_filename.rindex("."							)]
   assert fs.glob("*"							) == [expected_filename]
   with fs.open(_UpperCamelCase						,		"r"						,		encoding="utf-8"							) as f, open(_UpperCamelCase						,		encoding="utf-8"							) as expected_file:
      assert f.read() == expected_file.read()




@pytest.mark.parametrize("protocol"						,		["zip", "gzip"]							)
def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase						,		_UpperCamelCase						,		_UpperCamelCase							):


   """simple docstring"""




   lowercase_	:    Any           =     {"zip": zip_jsonl_path, "gzip": jsonl_gz_path}
   lowercase_	:    str           =     compressed_file_paths[protocol]
   lowercase_	:    Any           =     "dataset.jsonl"
   lowercase_	:    Dict           =     F"""{protocol}://{member_file_path}::{compressed_file_path}"""
   lowercase_    ,		*lowercase_	:    List[Any]           =     fsspec.get_fs_token_paths(_UpperCamelCase							)
   assert fs.isfile(_UpperCamelCase							)
   assert not fs.isfile("non_existing_" + member_file_path							)




@pytest.mark.integration
def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase						,		_UpperCamelCase						,		_UpperCamelCase						,		_UpperCamelCase							):


   """simple docstring"""




   lowercase_	:    int           =     hf_api.dataset_info(_UpperCamelCase						,		token=_UpperCamelCase							)
   lowercase_	:    Optional[Any]           =     HfFileSystem(repo_info=_UpperCamelCase						,		token=_UpperCamelCase							)
   assert sorted(hffs.glob("*"							)							) == [".gitattributes", "data"]
   assert hffs.isdir("data"							)
   assert hffs.isfile(".gitattributes"							) and hffs.isfile("data/text_data.txt"							)
   with open(_UpperCamelCase							) as f:
      assert hffs.open("data/text_data.txt"						,		"r"							).read() == f.read()





def 		__SCREAMING_SNAKE_CASE					(  ):


   """simple docstring"""




   lowercase_	:    List[Any]           =     "bz2"

   # Import module
   import datasets.filesystems

   # Overwrite protocol and reload
   register_implementation(_UpperCamelCase						,		_UpperCamelCase						,		clobber=_UpperCamelCase							)
   with pytest.warns(_UpperCamelCase							) as warning_info:
      importlib.reload(datasets.filesystems							)

   assert len(_UpperCamelCase							) == 1
   assert (
       str(warning_info[0].message							)
       == F"""A filesystem protocol was already set for {protocol} and will be overwritten."""
   )












'''simple docstring'''
import os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


UpperCamelCase__ =			namedtuple(
    '_TestCommandArgs',
    [
        'dataset',
        'name',
        'cache_dir',
        'data_dir',
        'all_configs',
        'save_infos',
        'ignore_verifications',
        'force_redownload',
        'clear_cache',
    ],
    defaults=[None, None, None, False, False, False, False, False],
)




def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase						,		_UpperCamelCase							):


   """simple docstring"""




   return (abs(source - target							) / target) < 0.01





@pytest.mark.integration
def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase							):


   """simple docstring"""




   lowercase_	:    Optional[int]           =     _TestCommandArgs(dataset=_UpperCamelCase						,		all_configs=_UpperCamelCase						,		save_infos=_UpperCamelCase							)
   lowercase_	:    int           =     TestCommand(*_UpperCamelCase							)
   test_command.run()
   lowercase_	:    List[str]           =     os.path.join(_UpperCamelCase						,		"README.md"							)
   assert os.path.exists(_UpperCamelCase							)
   lowercase_	:    Any           =     DatasetInfosDict.from_directory(_UpperCamelCase							)
   lowercase_	:    Optional[int]           =     DatasetInfosDict(
       {
           "default": DatasetInfo(
               features=Features(
                   {
                       "tokens": Sequence(Value("string"							)							),
                       "ner_tags": Sequence(
                           ClassLabel(names=["O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]							)							),
                       "langs": Sequence(Value("string"							)							),
                       "spans": Sequence(Value("string"							)							),
                   }							)						,		splits=[
                   {
                       "name": "train",
                       "num_bytes": 235_1563,
                       "num_examples": 1_0000,
                   },
                   {
                       "name": "validation",
                       "num_bytes": 23_8418,
                       "num_examples": 1000,
                   },
               ]						,		download_size=394_0680						,		dataset_size=258_9981						,		)
       }							)
   assert dataset_infos.keys() == expected_dataset_infos.keys()
   for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
      lowercase_    ,		lowercase_	:    Optional[int]           =     getattr(dataset_infos["default"]						,		_UpperCamelCase							), getattr(expected_dataset_infos["default"]						,		_UpperCamelCase							)
      if key == "num_bytes":
         assert is_apercent_close(_UpperCamelCase						,		_UpperCamelCase							)
      elif key == "splits":
         assert list(_UpperCamelCase							) == list(_UpperCamelCase							)
         for split in result:
            assert result[split].name == expected[split].name
            assert result[split].num_examples == expected[split].num_examples
            assert is_apercent_close(result[split].num_bytes						,		expected[split].num_bytes							)
      else:
         result == expected




