

import json
import os
import tempfile

import datasets
from datasets.arrow_writer import ArrowWriter
from datasets.features import ArrayaD
from utils import generate_examples, get_duration


lowerCAmelCase						:   List[Any]										=    (30, 487)
lowerCAmelCase						:   Dict										=    (36, 1024)
lowerCAmelCase						:   List[str]										=    (100, 100)
lowerCAmelCase						:   str										=    100

lowerCAmelCase						:   str										=    datasets.Features(
    {'''text''': ArrayaD(SHAPE_TEST_1, dtype='''float32'''), '''image''': ArrayaD(SHAPE_TEST_2, dtype='''float32''')}
)

lowerCAmelCase						:   str										=    os.path.split(__file__)
lowerCAmelCase						:   List[Any]										=    os.path.join(RESULTS_BASEPATH, '''results''', RESULTS_FILENAME.replace('''.py''', '''.json'''))





@get_duration
def 			_lowercase    (      __UpperCamelCase     :		Dict   ,       __UpperCamelCase     :		str   ,       __UpperCamelCase     :		int ):







      with ArrowWriter(features=_UpperCamelCase   ,       path=os.path.join(_UpperCamelCase   ,       """beta.arrow""" ) ) as writer:
            for key, record in dummy_data:
                  snake_case__					=   my_features.encode_example(_UpperCamelCase )
                  writer.write(_UpperCamelCase )
            snake_case__	,			snake_case__					=   writer.finalize()





@get_duration
def 			_lowercase    (      __UpperCamelCase     :		int   ,       __UpperCamelCase     :		Any ):
      snake_case__					=   datasets.Dataset.from_file(
          filename=os.path.join(_UpperCamelCase   ,       """beta.arrow""" )   ,       info=datasets.DatasetInfo(features=_UpperCamelCase ) )
      for _ in dataset:
            pass





@get_duration
def 			_lowercase    (      __UpperCamelCase     :		List[Any]   ,       __UpperCamelCase     :		Optional[Any] ):
      snake_case__					=   datasets.Dataset.from_file(
          filename=os.path.join(_UpperCamelCase   ,       """beta.arrow""" )   ,       info=datasets.DatasetInfo(features=_UpperCamelCase ) )
      dataset.set_format("""numpy""" )
      for _ in dataset:
            pass





@get_duration
def 			_lowercase    (      __UpperCamelCase     :		Optional[int]   ,       __UpperCamelCase     :		Optional[int] ):
      snake_case__					=   10
      snake_case__					=   datasets.Dataset.from_file(
          filename=os.path.join(_UpperCamelCase   ,       """beta.arrow""" )   ,       info=datasets.DatasetInfo(features=_UpperCamelCase ) )
      for i in range(0   ,       len(_UpperCamelCase )   ,       _UpperCamelCase ):
            snake_case__					=   dataset[i : i + batch_size]





@get_duration
def 			_lowercase    (      __UpperCamelCase     :		int   ,       __UpperCamelCase     :		List[Any] ):
      snake_case__					=   10
      snake_case__					=   datasets.Dataset.from_file(
          filename=os.path.join(_UpperCamelCase   ,       """beta.arrow""" )   ,       info=datasets.DatasetInfo(features=_UpperCamelCase ) )
      dataset.set_format("""numpy""" )
      for i in range(0   ,       len(_UpperCamelCase )   ,       _UpperCamelCase ):
            snake_case__					=   dataset[i : i + batch_size]





@get_duration
def 			_lowercase    (      __UpperCamelCase     :		str   ,       __UpperCamelCase     :		List[str] ):
      snake_case__					=   datasets.Dataset.from_file(
          filename=os.path.join(_UpperCamelCase   ,       """beta.arrow""" )   ,       info=datasets.DatasetInfo(features=_UpperCamelCase ) )
      for col in feats:
            snake_case__					=   dataset[col]





@get_duration
def 			_lowercase    (      __UpperCamelCase     :		List[Any]   ,       __UpperCamelCase     :		Union[str, Any] ):
      snake_case__					=   datasets.Dataset.from_file(
          filename=os.path.join(_UpperCamelCase   ,       """beta.arrow""" )   ,       info=datasets.DatasetInfo(features=_UpperCamelCase ) )
      dataset.set_format("""numpy""" )
      for col in feats:
            snake_case__					=   dataset[col]





def 			_lowercase    (      ):
      snake_case__					=   {}
      snake_case__					=   (
          read_unformated,
          read_formatted_as_numpy,
          read_batch_unformated,
          read_batch_formatted_as_numpy,
          read_col_unformated,
          read_col_formatted_as_numpy,
      )
      with tempfile.TemporaryDirectory() as tmp_dir:
            snake_case__					=   datasets.Features({"""image""": ArrayaD(_UpperCamelCase   ,       dtype="""float32""" )} )
            snake_case__					=   generate_examples(features=_UpperCamelCase   ,       num_examples=_UpperCamelCase )
            snake_case__					=   write(_UpperCamelCase   ,       _UpperCamelCase   ,       _UpperCamelCase )
            for read_func in read_functions:
                  snake_case__					=   read_func(_UpperCamelCase   ,       _UpperCamelCase )

      with tempfile.TemporaryDirectory() as tmp_dir:
            # don't use fixed length for fair comparison
            # feats = datasets.Features(
            #     {"image": datasets.Sequence(datasets.Sequence(datasets.Value("float32"), SPEED_TEST_SHAPE[1]), SPEED_TEST_SHAPE[0])}
            # )
            snake_case__					=   datasets.Features({"""image""": datasets.Sequence(datasets.Sequence(datasets.Value("""float32""" ) ) )} )
            snake_case__					=   generate_examples(
                features=_UpperCamelCase   ,       num_examples=_UpperCamelCase   ,       seq_shapes={"""image""": SPEED_TEST_SHAPE} )
            snake_case__					=   write(_UpperCamelCase   ,       _UpperCamelCase   ,       _UpperCamelCase )
            for read_func in read_functions:
                  snake_case__					=   read_func(_UpperCamelCase   ,       _UpperCamelCase )

      with tempfile.TemporaryDirectory() as tmp_dir:
            # don't use fixed length for fair comparison
            # feats = datasets.Features(
            #     {"image": datasets.Sequence(datasets.Value("float32"), SPEED_TEST_SHAPE[0] * SPEED_TEST_SHAPE[1])}
            # )
            snake_case__					=   datasets.Features({"""image""": datasets.Sequence(datasets.Value("""float32""" ) )} )
            snake_case__					=   generate_examples(
                features=_UpperCamelCase   ,       num_examples=_UpperCamelCase   ,       seq_shapes={"""image""": [SPEED_TEST_SHAPE[0] * SPEED_TEST_SHAPE[1]]}   ,       )
            snake_case__					=   write(_UpperCamelCase   ,       _UpperCamelCase   ,       _UpperCamelCase )
            for read_func in read_functions:
                  snake_case__					=   read_func(_UpperCamelCase   ,       _UpperCamelCase )

      with open(_UpperCamelCase   ,       """wb""" ) as f:
            f.write(json.dumps(_UpperCamelCase ).encode("""utf-8""" ) )


if __name__ == "__main__":  # useful to run the profiler
      benchmark_array_xd()









class     SCREAMING_SNAKE_CASE__     :





       '''simple docstring'''




       def __init__(						self       :						Tuple							)			->    None:
             # numbermap keys are the number and its values are lists of indexes sorted
             # in ascending order
             snake_case__					=   {}
             # indexmap keys are an index and it's values are the number at that index
             snake_case__					=   {}

       def UpperCAmelCase_						(						self       :						Optional[int]    ,		lowerCAmelCase__       :						list | str | range    ,		lowerCAmelCase__       :						int							)			->    list[int]:
             if isinstance(lowerCAmelCase__    ,		(range, str)							):
                   snake_case__					=   list(lowerCAmelCase__							)
             elif not isinstance(lowerCAmelCase__    ,		lowerCAmelCase__							):
                   raise TypeError(
                       """binary_search_delete() only accepts either a list, range or str"""							)

             snake_case__					=   0
             snake_case__					=   len(lowerCAmelCase__							) - 1

             while low <= high:
                   snake_case__					=   (low + high) // 2
                   if array[mid] == item:
                         array.pop(lowerCAmelCase__							)
                         return array
                   elif array[mid] < item:
                         snake_case__					=   mid + 1
                   else:
                         snake_case__					=   mid - 1
             raise ValueError(
                 """Either the item is not in the array or the array was unsorted"""							)

       def UpperCAmelCase_						(						self       :						Optional[Any]    ,		lowerCAmelCase__       :						list | str | range    ,		lowerCAmelCase__       :						int							)			->    list[int]:
             if isinstance(lowerCAmelCase__    ,		(range, str)							):
                   snake_case__					=   list(lowerCAmelCase__							)
             elif not isinstance(lowerCAmelCase__    ,		lowerCAmelCase__							):
                   raise TypeError(
                       """binary_search_insert() only accepts either a list, range or str"""							)

             snake_case__					=   0
             snake_case__					=   len(lowerCAmelCase__							) - 1

             while low <= high:
                   snake_case__					=   (low + high) // 2
                   if array[mid] == index:
                         # If the item already exists in the array,
                         # insert it after the existing item
                         array.insert(mid + 1    ,		lowerCAmelCase__							)
                         return array
                   elif array[mid] < index:
                         snake_case__					=   mid + 1
                   else:
                         snake_case__					=   mid - 1

        # If the item doesn't exist in the array, insert it at the appropriate position
             array.insert(lowerCAmelCase__    ,		lowerCAmelCase__							)
             return array

       def UpperCAmelCase_						(						self       :						str    ,		lowerCAmelCase__       :						int    ,		lowerCAmelCase__       :						int							)			->    None:
             # Remove previous index
             if index in self.indexmap:
                   snake_case__					=   self.indexmap[index]
                   if len(self.numbermap[n]							) == 1:
                         del self.numbermap[n]
                   else:
                         snake_case__					=   self.binary_search_delete(self.numbermap[n]    ,		lowerCAmelCase__							)

        # Set new index
             snake_case__					=   number

             # Number not seen before or empty so insert number value
             if number not in self.numbermap:
                   snake_case__					=   [index]

             # Here we need to perform a binary search insertion in order to insert
             # The item in the correct place
             else:
                   snake_case__					=   self.binary_search_insert(
                       self.numbermap[number]    ,		lowerCAmelCase__							)

       def UpperCAmelCase_						(						self       :						Any    ,		lowerCAmelCase__       :						int							)			->    int:
             return self.numbermap.get(lowerCAmelCase__    ,		[-1]							)[0]


if __name__ == "__main__":
       import doctest

       doctest.testmod()






