
"""simple docstring"""

import copy
import os
import tempfile
from unittest import TestCase
from unittest.mock import patch

import numpy as np
import pyarrow as pa
import pyarrow.parquet as pq
import pytest

from datasets.arrow_writer import ArrowWriter, OptimizedTypedSequence, ParquetWriter, TypedSequence
from datasets.features import ArrayaD, ClassLabel, Features, Image, Value
from datasets.features.features import ArrayaDExtensionType, cast_to_python_objects
from datasets.keyhash import DuplicatedKeysError, InvalidKeyError

from .utils import require_pil
class   _UpperCAmelCase				(		SCREAMING_SNAKE_CASE_				):




      def      a_   (				self				)    ->       str:
          UpperCAmelCase          =       pa.array(TypedSequence([1, 2, 3]				)				)
          self.assertEqual(arr.type ,							pa.intaa()				)




      def      a_   (				self				)    ->       Any:
          with self.assertRaises(lowercase_				):
              UpperCAmelCase          =       pa.array(TypedSequence([1, 2, 3]				) ,							type=pa.intaa()				)




      def      a_   (				self				)    ->       Optional[Any]:
          with self.assertRaises(lowercase_				):
              UpperCAmelCase          =       pa.array(TypedSequence([1, 2, 3] ,							try_type=Value('bool'				) ,							type=Value('int64'				)				)				)




      def      a_   (				self				)    ->       Any:
          UpperCAmelCase          =       pa.array(TypedSequence([1, 2, 3] ,							type=Value('int32'				)				)				)
          self.assertEqual(arr.type ,							pa.intaa()				)




      def      a_   (				self				)    ->       int:
          with self.assertRaises((TypeError, pa.lib.ArrowInvalid)				):
              UpperCAmelCase          =       pa.array(TypedSequence(['foo', 'bar'] ,							type=Value('int64'				)				)				)




      def      a_   (				self				)    ->       int:
          UpperCAmelCase          =       pa.array(TypedSequence([1, 2, 3] ,							try_type=Value('int32'				)				)				)
          self.assertEqual(arr.type ,							pa.intaa()				)




      def      a_   (				self				)    ->       Optional[Any]:
          UpperCAmelCase          =       pa.array(TypedSequence(['foo', 'bar'] ,							try_type=Value('int64'				)				)				)
          self.assertEqual(arr.type ,							pa.string()				)




      def      a_   (				self				)    ->       str:
          UpperCAmelCase          =       pa.array(TypedSequence([[[1, 2, 3]]] ,							type=ArrayaD((1, 3) ,							'int64'				)				)				)
          self.assertEqual(arr.type ,							ArrayaDExtensionType((1, 3) ,							'int64'				)				)




      def      a_   (				self				)    ->       Any:
          with self.assertRaises((TypeError, pa.lib.ArrowInvalid)				):
              UpperCAmelCase          =       pa.array(TypedSequence(['foo', 'bar'] ,							type=ArrayaD((1, 3) ,							'int64'				)				)				)




      def      a_   (				self				)    ->       Optional[Any]:
          UpperCAmelCase          =       pa.array(TypedSequence([[[1, 2, 3]]] ,							try_type=ArrayaD((1, 3) ,							'int64'				)				)				)
          self.assertEqual(arr.type ,							ArrayaDExtensionType((1, 3) ,							'int64'				)				)




      def      a_   (				self				)    ->       str:
          UpperCAmelCase          =       pa.array(TypedSequence(['foo', 'bar'] ,							try_type=ArrayaD((1, 3) ,							'int64'				)				)				)
          self.assertEqual(arr.type ,							pa.string()				)




      @require_pil
      def      a_   (				self				)    ->       List[str]:
          import PIL.Image

          UpperCAmelCase          =       PIL.Image.fromarray(np.arange(1_0 ,							dtype=np.uinta				).reshape(2 ,							5				)				)
          with patch(
              'datasets.arrow_writer.cast_to_python_objects' ,							side_effect=lowercase_				) as mock_cast_to_python_objects:
              UpperCAmelCase          =       pa.array(TypedSequence([{'path': None, 'bytes': B'image_bytes'}, pil_image] ,							type=Image()				)				)
              UpperCAmelCase      ,				UpperCAmelCase          =       mock_cast_to_python_objects.call_args_list[-1]
              self.assertIn('optimize_list_casting' ,							lowercase_				)
              self.assertFalse(kwargs['optimize_list_casting']				)




def      lowercase__    (       lowerCAmelCase					:       List[Any]			,					lowerCAmelCase					:       int			)			->   Tuple:






    """simple docstring"""




    UpperCAmelCase          =       pa.BufferReader(lowerCAmelCase			) if isinstance(lowerCAmelCase			,					pa.Buffer			) else pa.memory_map(lowerCAmelCase			)
    UpperCAmelCase          =       pa.ipc.open_stream(lowerCAmelCase			)
    UpperCAmelCase          =       f.read_all()
    assert len(pa_table.to_batches()			) == expected_num_chunks
    assert pa_table.to_pydict() == {"col_1": ["foo", "bar"], "col_2": [1, 2]}
    del pa_table




@pytest.mark.parametrize('writer_batch_size'			,					[None, 1, 10]			)
@pytest.mark.parametrize(
    'fields'			,					[None, {'col_1': pa.string(), 'col_2': pa.intaa()}, {'col_1': pa.string(), 'col_2': pa.intaa()}]			)
def      lowercase__    (       lowerCAmelCase					:       Optional[int]			,					lowerCAmelCase					:       int			)			->   List[str]:






    """simple docstring"""




    UpperCAmelCase          =       pa.BufferOutputStream()
    UpperCAmelCase          =       pa.schema(lowerCAmelCase			) if fields else None
    with ArrowWriter(stream=lowerCAmelCase			,					schema=lowerCAmelCase			,					writer_batch_size=lowerCAmelCase			) as writer:
        writer.write({'col_1': 'foo', 'col_2': 1}			)
        writer.write({'col_1': 'bar', 'col_2': 2}			)
        UpperCAmelCase      ,				UpperCAmelCase          =       writer.finalize()
    assert num_examples == 2
    assert num_bytes > 0
    if not fields:
        UpperCAmelCase          =       {'col_1': pa.string(), 'col_2': pa.intaa()}
    assert writer._schema == pa.schema(lowerCAmelCase			,					metadata=writer._schema.metadata			)
    _check_output(output.getvalue()			,					expected_num_chunks=num_examples if writer_batch_size == 1 else 1			)




def      lowercase__    (       )			->   Dict:






    """simple docstring"""




    UpperCAmelCase          =       pa.BufferOutputStream()
    UpperCAmelCase          =       Features({'labels': ClassLabel(names=['neg', 'pos']			)}			)
    with ArrowWriter(stream=lowerCAmelCase			,					features=lowerCAmelCase			) as writer:
        writer.write({'labels': 0}			)
        writer.write({'labels': 1}			)
        UpperCAmelCase      ,				UpperCAmelCase          =       writer.finalize()
    assert num_examples == 2
    assert num_bytes > 0
    assert writer._schema == features.arrow_schema
    assert writer._schema.metadata == features.arrow_schema.metadata
    UpperCAmelCase          =       pa.BufferReader(output.getvalue()			)
    UpperCAmelCase          =       pa.ipc.open_stream(lowerCAmelCase			)
    UpperCAmelCase          =       f.read_all()
    UpperCAmelCase          =       pa_table.schema
    assert pa_table.num_rows == 2
    assert schema == features.arrow_schema
    assert schema.metadata == features.arrow_schema.metadata
    assert features == Features.from_arrow_schema(lowerCAmelCase			)




@pytest.mark.parametrize('writer_batch_size'			,					[None, 1, 10]			)
def      lowercase__    (       lowerCAmelCase					:       Tuple			)			->   Optional[int]:






    """simple docstring"""




    UpperCAmelCase          =       pa.BufferOutputStream()
    with ArrowWriter(
        stream=lowerCAmelCase			,					writer_batch_size=lowerCAmelCase			,					hash_salt='split_name'			,					check_duplicates=lowerCAmelCase			,					) as writer:
        with pytest.raises(lowerCAmelCase			):
            writer.write({'col_1': 'foo', 'col_2': 1}			,					key=[1, 2]			)
            UpperCAmelCase      ,				UpperCAmelCase          =       writer.finalize()




@pytest.mark.parametrize('writer_batch_size'			,					[None, 2, 10]			)
def      lowercase__    (       lowerCAmelCase					:       Optional[Any]			)			->   Tuple:






    """simple docstring"""




    UpperCAmelCase          =       pa.BufferOutputStream()
    with ArrowWriter(
        stream=lowerCAmelCase			,					writer_batch_size=lowerCAmelCase			,					hash_salt='split_name'			,					check_duplicates=lowerCAmelCase			,					) as writer:
        with pytest.raises(lowerCAmelCase			):
            writer.write({'col_1': 'foo', 'col_2': 1}			,					key=10			)
            writer.write({'col_1': 'bar', 'col_2': 2}			,					key=10			)
            UpperCAmelCase      ,				UpperCAmelCase          =       writer.finalize()




@pytest.mark.parametrize('writer_batch_size'			,					[None, 2, 10]			)
def      lowercase__    (       lowerCAmelCase					:       Dict			)			->   List[str]:






    """simple docstring"""




    UpperCAmelCase          =       pa.BufferOutputStream()
    with ArrowWriter(
        stream=lowerCAmelCase			,					writer_batch_size=lowerCAmelCase			,					hash_salt='split_name'			,					check_duplicates=lowerCAmelCase			,					) as writer:
        writer.write({'col_1': 'foo', 'col_2': 1}			,					key=1			)
        writer.write({'col_1': 'bar', 'col_2': 2}			,					key=2			)
        UpperCAmelCase      ,				UpperCAmelCase          =       writer.finalize()
    assert num_examples == 2
    assert num_bytes > 0
    _check_output(output.getvalue()			,					expected_num_chunks=num_examples if writer_batch_size == 1 else 1			)




@pytest.mark.parametrize('writer_batch_size'			,					[None, 1, 10]			)
@pytest.mark.parametrize(
    'fields'			,					[None, {'col_1': pa.string(), 'col_2': pa.intaa()}, {'col_1': pa.string(), 'col_2': pa.intaa()}]			)
def      lowercase__    (       lowerCAmelCase					:       Optional[Any]			,					lowerCAmelCase					:       List[Any]			)			->   Optional[int]:






    """simple docstring"""




    UpperCAmelCase          =       pa.BufferOutputStream()
    UpperCAmelCase          =       pa.schema(lowerCAmelCase			) if fields else None
    with ArrowWriter(stream=lowerCAmelCase			,					schema=lowerCAmelCase			,					writer_batch_size=lowerCAmelCase			) as writer:
        writer.write_batch({'col_1': ['foo', 'bar'], 'col_2': [1, 2]}			)
        writer.write_batch({'col_1': [], 'col_2': []}			)
        UpperCAmelCase      ,				UpperCAmelCase          =       writer.finalize()
    assert num_examples == 2
    assert num_bytes > 0
    if not fields:
        UpperCAmelCase          =       {'col_1': pa.string(), 'col_2': pa.intaa()}
    assert writer._schema == pa.schema(lowerCAmelCase			,					metadata=writer._schema.metadata			)
    _check_output(output.getvalue()			,					expected_num_chunks=num_examples if writer_batch_size == 1 else 1			)




@pytest.mark.parametrize('writer_batch_size'			,					[None, 1, 10]			)
@pytest.mark.parametrize(
    'fields'			,					[None, {'col_1': pa.string(), 'col_2': pa.intaa()}, {'col_1': pa.string(), 'col_2': pa.intaa()}]			)
def      lowercase__    (       lowerCAmelCase					:       Optional[Any]			,					lowerCAmelCase					:       Dict			)			->   List[Any]:






    """simple docstring"""




    UpperCAmelCase          =       pa.BufferOutputStream()
    UpperCAmelCase          =       pa.schema(lowerCAmelCase			) if fields else None
    with ArrowWriter(stream=lowerCAmelCase			,					schema=lowerCAmelCase			,					writer_batch_size=lowerCAmelCase			) as writer:
        writer.write_table(pa.Table.from_pydict({'col_1': ['foo', 'bar'], 'col_2': [1, 2]}			)			)
        UpperCAmelCase      ,				UpperCAmelCase          =       writer.finalize()
    assert num_examples == 2
    assert num_bytes > 0
    if not fields:
        UpperCAmelCase          =       {'col_1': pa.string(), 'col_2': pa.intaa()}
    assert writer._schema == pa.schema(lowerCAmelCase			,					metadata=writer._schema.metadata			)
    _check_output(output.getvalue()			,					expected_num_chunks=num_examples if writer_batch_size == 1 else 1			)




@pytest.mark.parametrize('writer_batch_size'			,					[None, 1, 10]			)
@pytest.mark.parametrize(
    'fields'			,					[None, {'col_1': pa.string(), 'col_2': pa.intaa()}, {'col_1': pa.string(), 'col_2': pa.intaa()}]			)
def      lowercase__    (       lowerCAmelCase					:       Dict			,					lowerCAmelCase					:       Optional[int]			)			->   Optional[int]:






    """simple docstring"""




    UpperCAmelCase          =       pa.BufferOutputStream()
    UpperCAmelCase          =       pa.schema(lowerCAmelCase			) if fields else None
    with ArrowWriter(stream=lowerCAmelCase			,					schema=lowerCAmelCase			,					writer_batch_size=lowerCAmelCase			) as writer:
        writer.write_row(pa.Table.from_pydict({'col_1': ['foo'], 'col_2': [1]}			)			)
        writer.write_row(pa.Table.from_pydict({'col_1': ['bar'], 'col_2': [2]}			)			)
        UpperCAmelCase      ,				UpperCAmelCase          =       writer.finalize()
    assert num_examples == 2
    assert num_bytes > 0
    if not fields:
        UpperCAmelCase          =       {'col_1': pa.string(), 'col_2': pa.intaa()}
    assert writer._schema == pa.schema(lowerCAmelCase			,					metadata=writer._schema.metadata			)
    _check_output(output.getvalue()			,					expected_num_chunks=num_examples if writer_batch_size == 1 else 1			)




def      lowercase__    (       )			->   List[str]:






    """simple docstring"""




    with tempfile.TemporaryDirectory() as tmp_dir:
        UpperCAmelCase          =       {'col_1': pa.string(), 'col_2': pa.intaa()}
        UpperCAmelCase          =       os.path.join(lowerCAmelCase			,					'test.arrow'			)
        with ArrowWriter(path=lowerCAmelCase			,					schema=pa.schema(lowerCAmelCase			)			) as writer:
            writer.write_batch({'col_1': ['foo', 'bar'], 'col_2': [1, 2]}			)
            UpperCAmelCase      ,				UpperCAmelCase          =       writer.finalize()
        assert num_examples == 2
        assert num_bytes > 0
        assert writer._schema == pa.schema(lowerCAmelCase			,					metadata=writer._schema.metadata			)
        _check_output(lowerCAmelCase			,					1			)




def      lowercase__    (       lowerCAmelCase					:       Union[str, Any]			)			->   Union[str, Any]:






    """simple docstring"""




    if pa.types.is_list(lowerCAmelCase			):
        return get_base_dtype(arr_type.value_type			)
    else:
        return arr_type




def      lowercase__    (       lowerCAmelCase					:       Optional[int]			,					lowerCAmelCase					:       Union[str, Any]			)			->   List[Any]:






    """simple docstring"""




    if isinstance(lst[0]			,					lowerCAmelCase			):
        change_first_primitive_element_in_list(lst[0]			,					lowerCAmelCase			)
    else:
        UpperCAmelCase          =       value




@pytest.mark.parametrize('optimized_int_type, expected_dtype'			,					[(None, pa.intaa()), (Value('int32'			), pa.intaa())]			)
@pytest.mark.parametrize('sequence'			,					[[1, 2, 3], [[1, 2, 3]], [[[1, 2, 3]]]]			)
def      lowercase__    (       lowerCAmelCase					:       Optional[Any]			,					lowerCAmelCase					:       List[Any]			,					lowerCAmelCase					:       List[str]			)			->   int:






    """simple docstring"""




    UpperCAmelCase          =       pa.array(TypedSequence(lowerCAmelCase			,					optimized_int_type=lowerCAmelCase			)			)
    assert get_base_dtype(arr.type			) == expected_dtype




@pytest.mark.parametrize(
    'col, expected_dtype'			,					[
        ('attention_mask', pa.inta()),
        ('special_tokens_mask', pa.inta()),
        ('token_type_ids', pa.inta()),
        ('input_ids', pa.intaa()),
        ('other', pa.intaa()),
    ]			,					)
@pytest.mark.parametrize('sequence'			,					[[1, 2, 3], [[1, 2, 3]], [[[1, 2, 3]]]]			)
def      lowercase__    (       lowerCAmelCase					:       List[str]			,					lowerCAmelCase					:       List[Any]			,					lowerCAmelCase					:       str			)			->   Optional[int]:






    """simple docstring"""




    UpperCAmelCase          =       pa.array(OptimizedTypedSequence(lowerCAmelCase			,					col=lowerCAmelCase			)			)
    assert get_base_dtype(arr.type			) == expected_dtype

    # not in range
    if col != "other":
        # avoids errors due to in-place modifications
        UpperCAmelCase          =       copy.deepcopy(lowerCAmelCase			)
        UpperCAmelCase          =       np.iinfo(expected_dtype.to_pandas_dtype()			).max + 1
        change_first_primitive_element_in_list(lowerCAmelCase			,					lowerCAmelCase			)
        UpperCAmelCase          =       pa.array(OptimizedTypedSequence(lowerCAmelCase			,					col=lowerCAmelCase			)			)
        assert get_base_dtype(arr.type			) == pa.intaa()




@pytest.mark.parametrize('raise_exception'			,					[False, True]			)
def      lowercase__    (       lowerCAmelCase					:       Union[str, Any]			,					lowerCAmelCase					:       Tuple			)			->   Dict:






    """simple docstring"""




    UpperCAmelCase          =       str(tmp_path / 'dataset-train.arrow'			)
    try:
        with ArrowWriter(path=lowerCAmelCase			) as writer:
            if raise_exception:
                raise pa.lib.ArrowInvalid()
            else:
                writer.stream.close()
    except pa.lib.ArrowInvalid:
        pass
    finally:
        assert writer.stream.closed




def      lowercase__    (       lowerCAmelCase					:       List[str]			)			->   str:






    """simple docstring"""




    UpperCAmelCase          =       'mock://dataset-train.arrow'
    with ArrowWriter(path=lowerCAmelCase			,					storage_options=mockfs.storage_options			) as writer:
        assert isinstance(writer._fs			,					type(lowerCAmelCase			)			)
        assert writer._fs.storage_options == mockfs.storage_options
        writer.write({'col_1': 'foo', 'col_2': 1}			)
        writer.write({'col_1': 'bar', 'col_2': 2}			)
        UpperCAmelCase      ,				UpperCAmelCase          =       writer.finalize()
    assert num_examples == 2
    assert num_bytes > 0
    assert mockfs.exists(lowerCAmelCase			)




def      lowercase__    (       )			->   int:






    """simple docstring"""




    UpperCAmelCase          =       pa.BufferOutputStream()
    with ParquetWriter(stream=lowerCAmelCase			) as writer:
        writer.write({'col_1': 'foo', 'col_2': 1}			)
        writer.write({'col_1': 'bar', 'col_2': 2}			)
        UpperCAmelCase      ,				UpperCAmelCase          =       writer.finalize()
    assert num_examples == 2
    assert num_bytes > 0
    UpperCAmelCase          =       pa.BufferReader(output.getvalue()			)
    UpperCAmelCase          =       pq.read_table(lowerCAmelCase			)
    assert pa_table.to_pydict() == {"col_1": ["foo", "bar"], "col_2": [1, 2]}




@require_pil
@pytest.mark.parametrize('embed_local_files'			,					[False, True]			)
def      lowercase__    (       lowerCAmelCase					:       int			,					lowerCAmelCase					:       List[Any]			)			->   Union[str, Any]:






    """simple docstring"""




    import PIL.Image

    UpperCAmelCase          =       str(tmp_path / 'test_image_rgb.jpg'			)
    PIL.Image.fromarray(np.zeros((5, 5)			,					dtype=np.uinta			)			).save(lowerCAmelCase			,					format='png'			)
    UpperCAmelCase          =       pa.BufferOutputStream()
    with ParquetWriter(
        stream=lowerCAmelCase			,					features=Features({'image': Image()}			)			,					embed_local_files=lowerCAmelCase			) as writer:
        writer.write({'image': image_path}			)
        writer.finalize()
    UpperCAmelCase          =       pa.BufferReader(output.getvalue()			)
    UpperCAmelCase          =       pq.read_table(lowerCAmelCase			)
    UpperCAmelCase          =       pa_table.to_pydict()
    if embed_local_files:
        assert isinstance(out['image'][0]['path']			,					lowerCAmelCase			)
        with open(lowerCAmelCase			,					'rb'			) as f:
            assert out["image"][0]["bytes"] == f.read()
    else:
        assert out["image"][0]["path"] == image_path
        assert out["image"][0]["bytes"] is None







def      lowercase__    (       )			->   List[Any]:






    """simple docstring"""




    UpperCAmelCase          =       pa.schema([pa.field('col_1'			,					pa.string()			,					nullable=lowerCAmelCase			)]			)
    UpperCAmelCase          =       pa.BufferOutputStream()
    with ArrowWriter(stream=lowerCAmelCase			) as writer:
        writer._build_writer(inferred_schema=lowerCAmelCase			)
        assert writer._schema == pa.schema([pa.field('col_1'			,					pa.string()			)]			)





"""simple docstring"""

import importlib
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Union

import torch

from ..utils import BaseOutput


SCREAMING_SNAKE_CASE_            =    '''scheduler_config.json'''
class   _UpperCAmelCase				(		SCREAMING_SNAKE_CASE_				):
      __SCREAMING_SNAKE_CASE :				List[Any]				   =						1
      __SCREAMING_SNAKE_CASE :				Dict				   =						2
      __SCREAMING_SNAKE_CASE :				List[Any]				   =						3
      __SCREAMING_SNAKE_CASE :				Any				   =						4
      __SCREAMING_SNAKE_CASE :				Any				   =						5
      __SCREAMING_SNAKE_CASE :				Union[str, Any]				   =						6
      __SCREAMING_SNAKE_CASE :				str				   =						7
      __SCREAMING_SNAKE_CASE :				Any				   =						8
      __SCREAMING_SNAKE_CASE :				Tuple				   =						9
      __SCREAMING_SNAKE_CASE :				int				   =						1_0
      __SCREAMING_SNAKE_CASE :				Union[str, Any]				   =						1_1
      __SCREAMING_SNAKE_CASE :				Union[str, Any]				   =						1_2
      __SCREAMING_SNAKE_CASE :				Dict				   =						1_3
      __SCREAMING_SNAKE_CASE :				Optional[Any]				   =						1_4

@dataclass
class   _UpperCAmelCase				(		SCREAMING_SNAKE_CASE_				):
      __SCREAMING_SNAKE_CASE :				torch.FloatTensor

class   _UpperCAmelCase				:
      __SCREAMING_SNAKE_CASE :				str				   =						SCHEDULER_CONFIG_NAME
      __SCREAMING_SNAKE_CASE :				Dict				   =						[]
      __SCREAMING_SNAKE_CASE :				Union[str, Any]				   =						True




      @classmethod
      def      a_   (				cls ,							lowercase_ = None ,							lowercase_ = None ,							lowercase_=False ,							**lowercase_ ,							)    ->       List[Any]:
          UpperCAmelCase      ,				UpperCAmelCase      ,				UpperCAmelCase          =       cls.load_config(
              pretrained_model_name_or_path=lowercase_ ,							subfolder=lowercase_ ,							return_unused_kwargs=lowercase_ ,							return_commit_hash=lowercase_ ,							**lowercase_ ,							)
          return cls.from_config(lowercase_ ,							return_unused_kwargs=lowercase_ ,							**lowercase_				)




      def      a_   (				self ,							lowercase_ ,							lowercase_ = False ,							**lowercase_				)    ->       str:
          self.save_config(save_directory=lowercase_ ,							push_to_hub=lowercase_ ,							**lowercase_				)




      @property
      def      a_   (				self				)    ->       Union[str, Any]:
          return self._get_compatibles()




      @classmethod
      def      a_   (				cls				)    ->       Any:
          UpperCAmelCase          =       list(set([cls.__name__] + cls._compatibles				)				)
          UpperCAmelCase          =       importlib.import_module(__name__.split('.'				)[0]				)
          UpperCAmelCase          =       [
              getattr(lowercase_ ,							lowercase_				) for c in compatible_classes_str if hasattr(lowercase_ ,							lowercase_				)
          ]
          return compatible_classes



