






from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

UpperCamelCase__ =			TypeVar('KEY')
UpperCamelCase__ =			TypeVar('VAL')


@dataclass(frozen=snake_case				,					slots=snake_case			)
class        _UpperCAmelCase						(		Generic[KEY, VAL]			):
    __lowerCamelCase:   KEY
    __lowerCamelCase:   VAL


class        _UpperCAmelCase						(		_Item			):




    def __init__(			self  :       Dict			):






       '''simple docstring'''






       super().__init__(a  ,     a			)





    def __bool__(			self  :       Optional[Any]			):






       '''simple docstring'''






       return False


UpperCamelCase__ =			_DeletedItem()


class        _UpperCAmelCase						(		MutableMapping[KEY, VAL]			):




    def __init__(			self  :       Optional[int]  ,     a  :       int = 8  ,     a  :       float = 0.75			):






       '''simple docstring'''






       lowercase_	:    List[str]           =     initial_block_size
       lowercase_	:    list[_Item | None]           =     [None] * initial_block_size
       assert 0.0 < capacity_factor < 1.0
       lowercase_	:    str           =     capacity_factor
       lowercase_	:    Dict           =     0




    def 				lowerCAmelCase__				(			self  :       List[Any]  ,     a  :       KEY			):






       '''simple docstring'''






       return hash(a			) % len(self._buckets			)




    def 				lowerCAmelCase__				(			self  :       Dict  ,     a  :       int			):






       '''simple docstring'''






       return (ind + 1) % len(self._buckets			)




    def 				lowerCAmelCase__				(			self  :       Any  ,     a  :       int  ,     a  :       KEY  ,     a  :       VAL			):






       '''simple docstring'''






       lowercase_	:    str           =     self._buckets[ind]
       if not stored:
          lowercase_	:    Tuple           =     _Item(a  ,     a			)
          self._len += 1
          return True
       elif stored.key == key:
          lowercase_	:    str           =     _Item(a  ,     a			)
          return True
       else:
          return False




    def 				lowerCAmelCase__				(			self  :       Optional[int]			):






       '''simple docstring'''






       lowercase_	:    Any           =     len(self._buckets			) * self._capacity_factor
       return len(self			) >= int(a			)




    def 				lowerCAmelCase__				(			self  :       Dict			):






       '''simple docstring'''






       if len(self._buckets			) <= self._initial_block_size:
          return False
       lowercase_	:    Optional[Any]           =     len(self._buckets			) * self._capacity_factor / 2
       return len(self			) < limit




    def 				lowerCAmelCase__				(			self  :       List[str]  ,     a  :       int			):






       '''simple docstring'''






       lowercase_	:    str           =     self._buckets
       lowercase_	:    Tuple           =     [None] * new_size
       lowercase_	:    Tuple           =     0
       for item in old_buckets:
          if item:
             self._add_item(item.key  ,     item.val			)




    def 				lowerCAmelCase__				(			self  :       str			):






       '''simple docstring'''






       self._resize(len(self._buckets			) * 2			)




    def 				lowerCAmelCase__				(			self  :       Optional[Any]			):






       '''simple docstring'''






       self._resize(len(self._buckets			) // 2			)




    def 				lowerCAmelCase__				(			self  :       Dict  ,     a  :       KEY			):






       '''simple docstring'''






       lowercase_	:    List[str]           =     self._get_bucket_index(a			)
       for _ in range(len(self._buckets			)			):
          yield ind
          lowercase_	:    List[Any]           =     self._get_next_ind(a			)




    def 				lowerCAmelCase__				(			self  :       Union[str, Any]  ,     a  :       KEY  ,     a  :       VAL			):






       '''simple docstring'''






       for ind in self._iterate_buckets(a			):
          if self._try_set(a  ,     a  ,     a			):
             break




    def __setitem__(			self  :       Optional[int]  ,     a  :       KEY  ,     a  :       VAL			):






       '''simple docstring'''






       if self._is_full():
          self._size_up()

       self._add_item(a  ,     a			)




    def __delitem__(			self  :       Optional[Any]  ,     a  :       KEY			):






       '''simple docstring'''






       for ind in self._iterate_buckets(a			):
          lowercase_	:    int           =     self._buckets[ind]
          if item is None:
             raise KeyError(a			)
          if item is _deleted:
             continue
          if item.key == key:
             lowercase_	:    Any           =     _deleted
             self._len -= 1
             break
       if self._is_sparse():
          self._size_down()




    def __getitem__(			self  :       Dict  ,     a  :       KEY			):






       '''simple docstring'''






       for ind in self._iterate_buckets(a			):
          lowercase_	:    Optional[int]           =     self._buckets[ind]
          if item is None:
             break
          if item is _deleted:
             continue
          if item.key == key:
             return item.val
       raise KeyError(a			)




    def __len__(			self  :       List[str]			):






       '''simple docstring'''






       return self._len




    def __iter__(			self  :       Optional[Any]			):






       '''simple docstring'''






       yield from (item.key for item in self._buckets if item)





    def __repr__(			self  :       Optional[int]			):






       '''simple docstring'''






       lowercase_	:    Optional[Any]           =     " ,".join(
           f"""{item.key}: {item.val}""" for item in self._buckets if item			)
       return f"""HashMap({val_string})"""












'''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




