from unittest.mock import patch

import pyspark

from datasets.packaged_modules.spark.spark import (
    Spark,
    SparkExamplesIterable,
    _generate_iterable_examples,
)

from ..utils import (
    require_dill_gt_0_3_2,
    require_not_windows,
)



def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    __UpperCamelCase  :Any    						=	[]
    for part_id in partition_order:
        __UpperCamelCase  :Optional[int]    						=	df.where(f"""SPARK_PARTITION_ID() = {part_id}"""			).collect()
        for row_idx, row in enumerate(SCREAMING_SNAKE_CASE			):
            expected_row_ids_and_row_dicts.append((f"""{part_id}_{row_idx}""", row.asDict())			)
    return expected_row_ids_and_row_dicts



@require_not_windows
@require_dill_gt_0_3_2
def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase  :Union[str, Any]    						=	pyspark.sql.SparkSession.builder.master('''local[*]'''			).appName('''pyspark'''			).getOrCreate()
    __UpperCamelCase  :List[Any]    						=	spark.range(100			).repartition(1			)
    __UpperCamelCase  :Any    						=	Spark(SCREAMING_SNAKE_CASE			)
    # The id ints will be converted to Pyarrow int64s, so each row will be 8 bytes. Setting a max_shard_size of 16 means
    # that each partition can hold 2 rows.
    spark_builder._repartition_df_if_needed(max_shard_size=16			)
    # Given that the dataframe has 100 rows and each partition has 2 rows, we expect 50 partitions.
    assert spark_builder.df.rdd.getNumPartitions() == 50



@require_not_windows
@require_dill_gt_0_3_2
def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase  :Optional[Any]    						=	pyspark.sql.SparkSession.builder.master('''local[*]'''			).appName('''pyspark'''			).getOrCreate()
    __UpperCamelCase  :Union[str, Any]    						=	spark.range(10			).repartition(2			)
    __UpperCamelCase  :Optional[Any]    						=	[1, 0]
    __UpperCamelCase  :Any    						=	_generate_iterable_examples(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			)  # Reverse the partitions.
    __UpperCamelCase  :Optional[Any]    						=	_get_expected_row_ids_and_row_dicts_for_partition_order(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			)

    for i, (row_id, row_dict) in enumerate(generate_fn()			):
        __UpperCamelCase  :int    						=	expected_row_ids_and_row_dicts[i]
        assert row_id == expected_row_id
        assert row_dict == expected_row_dict



@require_not_windows
@require_dill_gt_0_3_2
def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase  :Optional[int]    						=	pyspark.sql.SparkSession.builder.master('''local[*]'''			).appName('''pyspark'''			).getOrCreate()
    __UpperCamelCase  :str    						=	spark.range(10			).repartition(1			)
    __UpperCamelCase  :Tuple    						=	SparkExamplesIterable(SCREAMING_SNAKE_CASE			)
    assert it.n_shards == 1
    for i, (row_id, row_dict) in enumerate(SCREAMING_SNAKE_CASE			):
        assert row_id == f"""0_{i}"""
        assert row_dict == {"id": i}



@require_not_windows
@require_dill_gt_0_3_2
def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase  :str    						=	pyspark.sql.SparkSession.builder.master('''local[*]'''			).appName('''pyspark'''			).getOrCreate()
    __UpperCamelCase  :Union[str, Any]    						=	spark.range(30			).repartition(3			)
    # Mock the generator so that shuffle reverses the partition indices.
    with patch('''numpy.random.Generator'''			) as generator_mock:
        __UpperCamelCase  :int    						=	lambda SCREAMING_SNAKE_CASE			: x.reverse()
        __UpperCamelCase  :List[str]    						=	_get_expected_row_ids_and_row_dicts_for_partition_order(SCREAMING_SNAKE_CASE						,    [2, 1, 0]			)

        __UpperCamelCase  :Union[str, Any]    						=	SparkExamplesIterable(SCREAMING_SNAKE_CASE			).shuffle_data_sources(SCREAMING_SNAKE_CASE			)
        assert shuffled_it.n_shards == 3
        for i, (row_id, row_dict) in enumerate(SCREAMING_SNAKE_CASE			):
            __UpperCamelCase  :str    						=	expected_row_ids_and_row_dicts[i]
            assert row_id == expected_row_id
            assert row_dict == expected_row_dict



@require_not_windows
@require_dill_gt_0_3_2
def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase  :Dict    						=	pyspark.sql.SparkSession.builder.master('''local[*]'''			).appName('''pyspark'''			).getOrCreate()
    __UpperCamelCase  :List[str]    						=	spark.range(20			).repartition(4			)

    # Partitions 0 and 2
    __UpperCamelCase  :Union[str, Any]    						=	SparkExamplesIterable(SCREAMING_SNAKE_CASE			).shard_data_sources(worker_id=0						,    num_workers=2			)
    assert shard_it_a.n_shards == 2
    __UpperCamelCase  :Optional[Any]    						=	_get_expected_row_ids_and_row_dicts_for_partition_order(SCREAMING_SNAKE_CASE						,    [0, 2]			)
    for i, (row_id, row_dict) in enumerate(SCREAMING_SNAKE_CASE			):
        __UpperCamelCase  :int    						=	expected_row_ids_and_row_dicts_a[i]
        assert row_id == expected_row_id
        assert row_dict == expected_row_dict

    # Partitions 1 and 3
    __UpperCamelCase  :Optional[Any]    						=	SparkExamplesIterable(SCREAMING_SNAKE_CASE			).shard_data_sources(worker_id=1						,    num_workers=2			)
    assert shard_it_a.n_shards == 2
    __UpperCamelCase  :Tuple    						=	_get_expected_row_ids_and_row_dicts_for_partition_order(SCREAMING_SNAKE_CASE						,    [1, 3]			)
    for i, (row_id, row_dict) in enumerate(SCREAMING_SNAKE_CASE			):
        __UpperCamelCase  :str    						=	expected_row_ids_and_row_dicts_a[i]
        assert row_id == expected_row_id
        assert row_dict == expected_row_dict



@require_not_windows
@require_dill_gt_0_3_2
def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase  :Optional[Any]    						=	pyspark.sql.SparkSession.builder.master('''local[*]'''			).appName('''pyspark'''			).getOrCreate()
    __UpperCamelCase  :List[Any]    						=	spark.range(100			).repartition(1			)
    __UpperCamelCase  :List[Any]    						=	Spark(SCREAMING_SNAKE_CASE			)
    # Choose a small max_shard_size for maximum partitioning.
    spark_builder._repartition_df_if_needed(max_shard_size=1			)
    # The new number of partitions should not be greater than the number of rows.
    assert spark_builder.df.rdd.getNumPartitions() == 100






from __future__ import annotations

import bisect



def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE = 0						,    SCREAMING_SNAKE_CASE = -1			):
    '''simple docstring'''







    if hi < 0:
        __UpperCamelCase  :str    						=	len(SCREAMING_SNAKE_CASE			)

    while lo < hi:
        __UpperCamelCase  :Optional[int]    						=	lo + (hi - lo) // 2
        if sorted_collection[mid] < item:
            __UpperCamelCase  :List[Any]    						=	mid + 1
        else:
            __UpperCamelCase  :Any    						=	mid

    return lo



def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE = 0						,    SCREAMING_SNAKE_CASE = -1			):
    '''simple docstring'''







    if hi < 0:
        __UpperCamelCase  :List[str]    						=	len(SCREAMING_SNAKE_CASE			)

    while lo < hi:
        __UpperCamelCase  :Optional[Any]    						=	lo + (hi - lo) // 2
        if sorted_collection[mid] <= item:
            __UpperCamelCase  :Dict    						=	mid + 1
        else:
            __UpperCamelCase  :Optional[Any]    						=	mid

    return lo



def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE = 0						,    SCREAMING_SNAKE_CASE = -1			):
    '''simple docstring'''







    sorted_collection.insert(bisect_left(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			)						,    SCREAMING_SNAKE_CASE			)



def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE = 0						,    SCREAMING_SNAKE_CASE = -1			):
    '''simple docstring'''







    sorted_collection.insert(bisect_right(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			)						,    SCREAMING_SNAKE_CASE			)



def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    __UpperCamelCase  :Tuple    						=	0
    __UpperCamelCase  :List[str]    						=	len(SCREAMING_SNAKE_CASE			) - 1

    while left <= right:
        __UpperCamelCase  :Optional[int]    						=	left + (right - left) // 2
        __UpperCamelCase  :List[str]    						=	sorted_collection[midpoint]
        if current_item == item:
            return midpoint
        elif item < current_item:
            __UpperCamelCase  :Union[str, Any]    						=	midpoint - 1
        else:
            __UpperCamelCase  :Dict    						=	midpoint + 1
    return None



def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    __UpperCamelCase  :Dict    						=	bisect.bisect_left(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			)
    if index != len(SCREAMING_SNAKE_CASE			) and sorted_collection[index] == item:
        return index
    return None



def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    if right < left:
        return None

    __UpperCamelCase  :str    						=	left + (right - left) // 2

    if sorted_collection[midpoint] == item:
        return midpoint
    elif sorted_collection[midpoint] > item:
        return binary_search_by_recursion(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    midpoint - 1			)
    else:
        return binary_search_by_recursion(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    midpoint + 1						,    SCREAMING_SNAKE_CASE			)


if __name__ == "__main__":
    __lowercase											=      input('''Enter numbers separated by comma:\n''').strip()
    __lowercase											=      sorted(int(item) for item in user_input.split(''','''))
    __lowercase											=      int(input('''Enter a single number to be found in the list:\n'''))
    __lowercase											=      binary_search(collection, target)
    if result is None:
        print(F'{target} was not found in {collection}.')
    else:
        print(F'{target} was found at position {result} in {collection}.')





