


import timeit

import numpy as np

import datasets
from datasets.arrow_writer import ArrowWriter
from datasets.features.features import _ArrayXD




def        snake_case_					(  snake_case					)  ->    List[str]:
							def wrapper(*snake_case      ,							**snake_case					):
														lowercase__:       Union[str, Any]        =       timeit.default_timer()
														lowercase__:       Any        =       func(*snake_case      ,							**snake_case					)
														lowercase__:       Union[str, Any]        =       timeit.default_timer() - starttime
														return delta

							lowercase__:       str        =       func.__name__

							return wrapper




def        snake_case_					(  snake_case      ,							snake_case=1_00      ,							snake_case=None					)  ->    Dict:
							lowercase__:       str        =       []
							lowercase__:       List[str]        =       seq_shapes or {}
							for i in range(snake_case					):
														lowercase__:       int        =       {}
														for col_id, (k, v) in enumerate(features.items()					):
																					if isinstance(snake_case      ,							_ArrayXD					):
																												lowercase__:       Union[str, Any]        =       np.random.rand(*v.shape					).astype(v.dtype					)
																					elif isinstance(snake_case      ,							datasets.Value					):
																												if v.dtype == "string":
																																			lowercase__:       Union[str, Any]        =       'The small grey turtle was surprisingly fast when challenged.'
																												else:
																																			lowercase__:       Union[str, Any]        =       np.random.randint(10      ,							size=1					).astype(v.dtype					).item()
																					elif isinstance(snake_case      ,							datasets.Sequence					):
																												while isinstance(snake_case      ,							datasets.Sequence					):
																																			lowercase__:       Optional[Any]        =       v.feature
																												lowercase__:       Optional[int]        =       seq_shapes[k]
																												lowercase__:       Tuple        =       np.random.rand(*snake_case					).astype(v.dtype					)
																					lowercase__:       List[str]        =       data

														dummy_data.append((i, example)					)

							return dummy_data




def        snake_case_					(  snake_case      ,							snake_case      ,							snake_case=1_00      ,							snake_case=None					)  ->    Optional[Any]:
							lowercase__:       Optional[Any]        =       generate_examples(snake_case      ,							num_examples=snake_case      ,							seq_shapes=snake_case					)

							with ArrowWriter(features=snake_case      ,							path=snake_case					) as writer:
														for key, record in dummy_data:
																					lowercase__:       Tuple        =       features.encode_example(snake_case					)
																					writer.write(snake_case					)

														lowercase__:       Any        =       writer.finalize()

							if not num_final_examples == num_examples:
														raise ValueError(
														    f'Error writing the dataset, wrote {num_final_examples} examples but should have written {num_examples}.'					)

							lowercase__:       Dict        =       datasets.Dataset.from_file(filename=snake_case      ,							info=datasets.DatasetInfo(features=snake_case					)					)

							return dataset






def        snake_case_					(  snake_case					)  ->    list[int]:
       lowercase__:       Dict        =       [0 for i in range(len(snake_case					)					)]

       # initialize interval's left pointer and right pointer
       lowercase__      ,						lowercase__:       Union[str, Any]        =       0, 0

       for i in range(1      ,							len(snake_case					)					):
              # case when current index is inside the interval
              if i <= right_pointer:
                     lowercase__:       List[Any]        =       min(right_pointer - i + 1      ,							z_result[i - left_pointer]					)
                     lowercase__:       List[str]        =       min_edge

              while go_next(snake_case      ,							snake_case      ,							snake_case					):
                     z_result[i] += 1

              # if new index's result gives us more right interval,
              # we've to update left_pointer and right_pointer
              if i + z_result[i] - 1 > right_pointer:
                     lowercase__      ,						lowercase__:       List[Any]        =       i, i + z_result[i] - 1

       return z_result




def        snake_case_					(  snake_case      ,							snake_case      ,							snake_case					)  ->    bool:
       return i + z_result[i] < len(snake_case					) and s[z_result[i]] == s[i + z_result[i]]




def        snake_case_					(  snake_case      ,							snake_case					)  ->    int:
       lowercase__:       Tuple        =       0
       # concatenate 'pattern' and 'input_str' and call z_function
       # with concatenated string
       lowercase__:       Any        =       z_function(pattern + input_str					)

       for val in z_result:
              # if value is greater then length of the pattern string
              # that means this index is starting position of substring
              # which is equal to pattern string
              if val >= len(snake_case					):
                     answer += 1

       return answer


if __name__ == "__main__":
 import doctest

 doctest.testmod()


