




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 SCREAMING_SNAKE_CASE				(       lowercase_ ,				lowercase_						)   ->       Tuple:



       """simple docstring"""

       A__       =    []
       for part_id in partition_order:
              A__       =    df.where(f"""SPARK_PARTITION_ID() = {part_id}"""						).collect()
              for row_idx, row in enumerate(lowercase_						):
                     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 SCREAMING_SNAKE_CASE				(       )   ->       str:



       """simple docstring"""

       A__       =    pyspark.sql.SparkSession.builder.master('''local[*]'''						).appName('''pyspark'''						).getOrCreate()
       A__       =    spark.range(100						).repartition(1						)
       A__       =    Spark(lowercase_						)
       # 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 SCREAMING_SNAKE_CASE				(       )   ->       Dict:



       """simple docstring"""

       A__       =    pyspark.sql.SparkSession.builder.master('''local[*]'''						).appName('''pyspark'''						).getOrCreate()
       A__       =    spark.range(10						).repartition(2						)
       A__       =    [1, 0]
       A__       =    _generate_iterable_examples(lowercase_ ,				lowercase_						)  # Reverse the partitions.
       A__       =    _get_expected_row_ids_and_row_dicts_for_partition_order(lowercase_ ,				lowercase_						)

       for i, (row_id, row_dict) in enumerate(generate_fn()						):
              A__ ,							A__       =    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 SCREAMING_SNAKE_CASE				(       )   ->       Dict:



       """simple docstring"""

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







@require_not_windows
@require_dill_gt_0_3_2
def SCREAMING_SNAKE_CASE				(       )   ->       Optional[Any]:



       """simple docstring"""

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

              A__       =    SparkExamplesIterable(lowercase_						).shuffle_data_sources(lowercase_						)
              assert shuffled_it.n_shards == 3
              for i, (row_id, row_dict) in enumerate(lowercase_						):
                     A__ ,							A__       =    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 SCREAMING_SNAKE_CASE				(       )   ->       Tuple:



       """simple docstring"""

       A__       =    pyspark.sql.SparkSession.builder.master('''local[*]'''						).appName('''pyspark'''						).getOrCreate()
       A__       =    spark.range(20						).repartition(4						)

       # Partitions 0 and 2
       A__       =    SparkExamplesIterable(lowercase_						).shard_data_sources(worker_id=0 ,				num_workers=2						)
       assert shard_it_a.n_shards == 2
       A__       =    _get_expected_row_ids_and_row_dicts_for_partition_order(lowercase_ ,				[0, 2]						)
       for i, (row_id, row_dict) in enumerate(lowercase_						):
              A__ ,							A__       =    expected_row_ids_and_row_dicts_a[i]
              assert row_id == expected_row_id
              assert row_dict == expected_row_dict

       # Partitions 1 and 3
       A__       =    SparkExamplesIterable(lowercase_						).shard_data_sources(worker_id=1 ,				num_workers=2						)
       assert shard_it_a.n_shards == 2
       A__       =    _get_expected_row_ids_and_row_dicts_for_partition_order(lowercase_ ,				[1, 3]						)
       for i, (row_id, row_dict) in enumerate(lowercase_						):
              A__ ,							A__       =    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 SCREAMING_SNAKE_CASE				(       )   ->       str:



       """simple docstring"""

       A__       =    pyspark.sql.SparkSession.builder.master('''local[*]'''						).appName('''pyspark'''						).getOrCreate()
       A__       =    spark.range(100						).repartition(1						)
       A__       =    Spark(lowercase_						)
       # 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








import os

import pytest

from transformers.dynamic_module_utils import get_imports


_lowerCamelCase	:		Any							       =   """
import os
"""

_lowerCamelCase	:		Optional[int]							       =   """
def foo():
    import os
    return False
"""

_lowerCamelCase	:		List[Any]							       =   """
def foo():
    def bar():
        if True:
            import os
        return False
    return bar()
"""

_lowerCamelCase	:		List[Any]							       =   """
import os

try:
    import bar
except ImportError:
    raise ValueError()
"""

_lowerCamelCase	:		Union[str, Any]							       =   """
import os

def foo():
    try:
        import bar
    except ImportError:
        raise ValueError()
"""

_lowerCamelCase	:		List[Any]							       =   """
import os

try:
    import bar
except (ImportError, AttributeError):
    raise ValueError()
"""

_lowerCamelCase	:		List[Any]							       =   """
import os

try:
    import bar
except ImportError as e:
    raise ValueError()
"""

_lowerCamelCase	:		str							       =   """
import os

try:
    import bar
except:
    raise ValueError()
"""

_lowerCamelCase	:		Optional[Any]							       =   """
import os

try:
    import bar
    import baz
except ImportError:
    raise ValueError()
"""

_lowerCamelCase	:		Any							       =   """
import os

try:
    import bar
    import baz
except ImportError:
    x = 1
    raise ValueError()
"""

_lowerCamelCase	:		Dict							       =   [
    TOP_LEVEL_IMPORT,
    IMPORT_IN_FUNCTION,
    DEEPLY_NESTED_IMPORT,
    TOP_LEVEL_TRY_IMPORT,
    GENERIC_EXCEPT_IMPORT,
    MULTILINE_TRY_IMPORT,
    MULTILINE_BOTH_IMPORT,
    MULTIPLE_EXCEPTS_IMPORT,
    EXCEPT_AS_IMPORT,
    TRY_IMPORT_IN_FUNCTION,
]







@pytest.mark.parametrize('''case''' ,				lowercase_						)
def SCREAMING_SNAKE_CASE				(       lowercase_ ,				lowercase_						)   ->       int:



       """simple docstring"""

       A__       =    os.path.join(lowercase_ ,				'''test_file.py'''						)
       with open(lowercase_ ,				'''w'''						) as _tmp_file:
              _tmp_file.write(lowercase_						)

       A__       =    get_imports(lowercase_						)
       assert parsed_imports == ["os"]


