






"""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        lowercase__      (							_a       ):


   def      UpperCAmelCase__						(				self					:  List[Any] ):
          lowerCamelCase_	:							List[str]									=pa.array(TypedSequence([1, 2, 3] ) )
          self.assertEqual(arr.type       ,	pa.intaa() )


   def      UpperCAmelCase__						(				self					:  List[str] ):

          with self.assertRaises(snake_case__ ):
                 lowerCamelCase_	:							int									=pa.array(TypedSequence([1, 2, 3] )       ,	type=pa.intaa() )


   def      UpperCAmelCase__						(				self					:  Dict ):

          with self.assertRaises(snake_case__ ):
                 lowerCamelCase_	:							List[str]									=pa.array(TypedSequence([1, 2, 3]       ,	try_type=Value("bool" )       ,	type=Value("int64" ) ) )


   def      UpperCAmelCase__						(				self					:  Tuple ):
          lowerCamelCase_	:							Union[str, Any]									=pa.array(TypedSequence([1, 2, 3]       ,	type=Value("int32" ) ) )
          self.assertEqual(arr.type       ,	pa.intaa() )


   def      UpperCAmelCase__						(				self					:  Tuple ):

          with self.assertRaises((TypeError, pa.lib.ArrowInvalid) ):
                 lowerCamelCase_	:							Tuple									=pa.array(TypedSequence(["foo", "bar"]       ,	type=Value("int64" ) ) )


   def      UpperCAmelCase__						(				self					:  int ):
          lowerCamelCase_	:							List[Any]									=pa.array(TypedSequence([1, 2, 3]       ,	try_type=Value("int32" ) ) )
          self.assertEqual(arr.type       ,	pa.intaa() )


   def      UpperCAmelCase__						(				self					:  List[Any] ):
          lowerCamelCase_	:							str									=pa.array(TypedSequence(["foo", "bar"]       ,	try_type=Value("int64" ) ) )
          self.assertEqual(arr.type       ,	pa.string() )


   def      UpperCAmelCase__						(				self					:  Optional[int] ):
          lowerCamelCase_	:							Dict									=pa.array(TypedSequence([[[1, 2, 3]]]       ,	type=ArrayaD((1, 3)       ,	"int64" ) ) )
          self.assertEqual(arr.type       ,	ArrayaDExtensionType((1, 3)       ,	"int64" ) )


   def      UpperCAmelCase__						(				self					:  Optional[Any] ):

          with self.assertRaises((TypeError, pa.lib.ArrowInvalid) ):
                 lowerCamelCase_	:							List[str]									=pa.array(TypedSequence(["foo", "bar"]       ,	type=ArrayaD((1, 3)       ,	"int64" ) ) )


   def      UpperCAmelCase__						(				self					:  Optional[int] ):
          lowerCamelCase_	:							Optional[int]									=pa.array(TypedSequence([[[1, 2, 3]]]       ,	try_type=ArrayaD((1, 3)       ,	"int64" ) ) )
          self.assertEqual(arr.type       ,	ArrayaDExtensionType((1, 3)       ,	"int64" ) )


   def      UpperCAmelCase__						(				self					:  Any ):
          lowerCamelCase_	:							Tuple									=pa.array(TypedSequence(["foo", "bar"]       ,	try_type=ArrayaD((1, 3)       ,	"int64" ) ) )
          self.assertEqual(arr.type       ,	pa.string() )


   @require_pil
   def      UpperCAmelCase__						(				self					:  Union[str, Any] ):
          import PIL.Image

          lowerCamelCase_	:							int									=PIL.Image.fromarray(np.arange(10       ,	dtype=np.uinta ).reshape(2       ,	5 ) )
          with patch(
              "datasets.arrow_writer.cast_to_python_objects"       ,	side_effect=snake_case__ ) as mock_cast_to_python_objects:
                 lowerCamelCase_	:							Tuple									=pa.array(TypedSequence([{"path": None, "bytes": B"image_bytes"}, pil_image]       ,	type=Image() ) )
                 lowerCamelCase_	:							Union[str, Any]									=mock_cast_to_python_objects.call_args_list[-1]
                 self.assertIn("optimize_list_casting"       ,	snake_case__ )
                 self.assertFalse(kwargs["optimize_list_casting"] )


def 			_snake_case    (					lowerCamelCase__     :   List[Any]    ,						lowerCamelCase__     :   Tuple  )    ->     Union[str, Any]:
       lowerCamelCase_	:							List[str]									=pa.BufferReader(lowerCamelCase_  ) if isinstance(lowerCamelCase_    ,						pa.Buffer  ) else pa.memory_map(lowerCamelCase_  )
       lowerCamelCase_	:							Any									=pa.ipc.open_stream(lowerCamelCase_  )
       lowerCamelCase_	:							pa.Table									=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 			_snake_case    (					lowerCamelCase__     :   str    ,						lowerCamelCase__     :   List[Any]  )    ->     Optional[int]:
       lowerCamelCase_	:							Dict									=pa.BufferOutputStream()
       lowerCamelCase_	:							str									=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}  )
              lowerCamelCase_	:							Union[str, Any]									=writer.finalize()
       assert num_examples == 2
       assert num_bytes > 0
       if not fields:
              lowerCamelCase_	:							Dict									={'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 			_snake_case    (					)    ->     List[Any]:
       lowerCamelCase_	:							Tuple									=pa.BufferOutputStream()
       lowerCamelCase_	:							Optional[int]									=Features({"labels": ClassLabel(names=["neg", "pos"]  )}  )
       with ArrowWriter(stream=lowerCamelCase_    ,						features=lowerCamelCase_  ) as writer:
              writer.write({"labels": 0}  )
              writer.write({"labels": 1}  )
              lowerCamelCase_	:							str									=writer.finalize()
       assert num_examples == 2
       assert num_bytes > 0
       assert writer._schema == features.arrow_schema
       assert writer._schema.metadata == features.arrow_schema.metadata
       lowerCamelCase_	:							Any									=pa.BufferReader(output.getvalue()  )
       lowerCamelCase_	:							Optional[int]									=pa.ipc.open_stream(lowerCamelCase_  )
       lowerCamelCase_	:							pa.Table									=f.read_all()
       lowerCamelCase_	:							Dict									=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 			_snake_case    (					lowerCamelCase__     :   int  )    ->     List[str]:
       lowerCamelCase_	:							int									=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]  )
                     lowerCamelCase_	:							Any									=writer.finalize()

@pytest.mark.parametrize("writer_batch_size"    ,						[None, 2, 10]  )
def 			_snake_case    (					lowerCamelCase__     :   Optional[Any]  )    ->     List[str]:
       lowerCamelCase_	:							str									=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  )
                     lowerCamelCase_	:							Dict									=writer.finalize()

@pytest.mark.parametrize("writer_batch_size"    ,						[None, 2, 10]  )
def 			_snake_case    (					lowerCamelCase__     :   Union[str, Any]  )    ->     List[str]:
       lowerCamelCase_	:							str									=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  )
              lowerCamelCase_	:							Union[str, Any]									=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 			_snake_case    (					lowerCamelCase__     :   List[str]    ,						lowerCamelCase__     :   Optional[Any]  )    ->     Tuple:
       lowerCamelCase_	:							str									=pa.BufferOutputStream()
       lowerCamelCase_	:							Dict									=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": []}  )
              lowerCamelCase_	:							Dict									=writer.finalize()
       assert num_examples == 2
       assert num_bytes > 0
       if not fields:
              lowerCamelCase_	:							Tuple									={'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 			_snake_case    (					lowerCamelCase__     :   str    ,						lowerCamelCase__     :   Tuple  )    ->     Dict:
       lowerCamelCase_	:							int									=pa.BufferOutputStream()
       lowerCamelCase_	:							Optional[Any]									=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]}  )  )
              lowerCamelCase_	:							Union[str, Any]									=writer.finalize()
       assert num_examples == 2
       assert num_bytes > 0
       if not fields:
              lowerCamelCase_	:							List[str]									={'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 			_snake_case    (					lowerCamelCase__     :   Tuple    ,						lowerCamelCase__     :   int  )    ->     Optional[Any]:
       lowerCamelCase_	:							Any									=pa.BufferOutputStream()
       lowerCamelCase_	:							List[Any]									=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]}  )  )
              lowerCamelCase_	:							List[Any]									=writer.finalize()
       assert num_examples == 2
       assert num_bytes > 0
       if not fields:
              lowerCamelCase_	:							Any									={'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 			_snake_case    (					)    ->     Optional[int]:
       with tempfile.TemporaryDirectory() as tmp_dir:
              lowerCamelCase_	:							Union[str, Any]									={'col_1': pa.string(), 'col_2': pa.intaa()}
              lowerCamelCase_	:							Optional[Any]									=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]}  )
                     lowerCamelCase_	:							Tuple									=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 			_snake_case    (					lowerCamelCase__     :   Optional[int]  )    ->     List[str]:
       if pa.types.is_list(lowerCamelCase_  ):
              return get_base_dtype(arr_type.value_type  )
       else:
              return arr_type

def 			_snake_case    (					lowerCamelCase__     :   str    ,						lowerCamelCase__     :   Dict  )    ->     List[str]:
       if isinstance(lst[0]    ,						lowerCamelCase_  ):
              change_first_primitive_element_in_list(lst[0]    ,						lowerCamelCase_  )
       else:
              lowerCamelCase_	:							List[Any]									=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 			_snake_case    (					lowerCamelCase__     :   Optional[Any]    ,						lowerCamelCase__     :   Any    ,						lowerCamelCase__     :   Dict  )    ->     Dict:
       lowerCamelCase_	:							Optional[Any]									=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 			_snake_case    (					lowerCamelCase__     :   Tuple    ,						lowerCamelCase__     :   Tuple    ,						lowerCamelCase__     :   List[str]  )    ->     Union[str, Any]:
       # in range
       lowerCamelCase_	:							Optional[Any]									=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
              lowerCamelCase_	:							Any									=copy.deepcopy(lowerCamelCase_  )
              lowerCamelCase_	:							Dict									=np.iinfo(expected_dtype.to_pandas_dtype()  ).max + 1
              change_first_primitive_element_in_list(lowerCamelCase_    ,						lowerCamelCase_  )
              lowerCamelCase_	:							List[Any]									=pa.array(OptimizedTypedSequence(lowerCamelCase_    ,						col=lowerCamelCase_  )  )
              assert get_base_dtype(arr.type  ) == pa.intaa()

@pytest.mark.parametrize("raise_exception"    ,						[False, True]  )
def 			_snake_case    (					lowerCamelCase__     :   Tuple    ,						lowerCamelCase__     :   Any  )    ->     List[str]:
       lowerCamelCase_	:							Tuple									=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 			_snake_case    (					lowerCamelCase__     :   List[str]  )    ->     Tuple:
       lowerCamelCase_	:							Tuple									='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}  )
              lowerCamelCase_	:							Dict									=writer.finalize()
       assert num_examples == 2
       assert num_bytes > 0
       assert mockfs.exists(lowerCamelCase_  )

def 			_snake_case    (					)    ->     List[str]:
       lowerCamelCase_	:							str									=pa.BufferOutputStream()
       with ParquetWriter(stream=lowerCamelCase_  ) as writer:
              writer.write({"col_1": "foo", "col_2": 1}  )
              writer.write({"col_1": "bar", "col_2": 2}  )
              lowerCamelCase_	:							Tuple									=writer.finalize()
       assert num_examples == 2
       assert num_bytes > 0
       lowerCamelCase_	:							List[Any]									=pa.BufferReader(output.getvalue()  )
       lowerCamelCase_	:							pa.Table									=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 			_snake_case    (					lowerCamelCase__     :   Optional[int]    ,						lowerCamelCase__     :   Any  )    ->     List[str]:
       import PIL.Image

       lowerCamelCase_	:							Dict									=str(tmp_path / "test_image_rgb.jpg"  )
       PIL.Image.fromarray(np.zeros((5, 5)    ,						dtype=np.uinta  )  ).save(lowerCamelCase_    ,						format="png"  )
       lowerCamelCase_	:							List[Any]									=pa.BufferOutputStream()
       with ParquetWriter(
           stream=lowerCamelCase_    ,						features=Features({"image": Image()}  )    ,						embed_local_files=lowerCamelCase_  ) as writer:
              writer.write({"image": image_path}  )
              writer.finalize()
       lowerCamelCase_	:							Optional[int]									=pa.BufferReader(output.getvalue()  )
       lowerCamelCase_	:							pa.Table									=pq.read_table(lowerCamelCase_  )
       lowerCamelCase_	:							List[str]									=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 			_snake_case    (					)    ->     Dict:
       lowerCamelCase_	:							Tuple									=pa.schema([pa.field("col_1"    ,						pa.string()    ,						nullable=lowerCamelCase_  )]  )
       lowerCamelCase_	:							Dict									=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"""



# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from argparse import ArgumentParser

from accelerate.commands.config import get_config_parser
from accelerate.commands.env import env_command_parser
from accelerate.commands.launch import launch_command_parser
from accelerate.commands.test import test_command_parser
from accelerate.commands.tpu import tpu_command_parser

def 			_snake_case    (					)    ->     Tuple:
							lowerCamelCase_	:							Optional[int]									=ArgumentParser("Accelerate CLI tool"    ,						usage="accelerate <command> [<args>]"    ,						allow_abbrev=lowerCamelCase__  )
							lowerCamelCase_	:							Optional[int]									=parser.add_subparsers(help="accelerate command helpers"  )

							# Register commands
							get_config_parser(subparsers=lowerCamelCase__  )
							env_command_parser(subparsers=lowerCamelCase__  )
							launch_command_parser(subparsers=lowerCamelCase__  )
							tpu_command_parser(subparsers=lowerCamelCase__  )
							test_command_parser(subparsers=lowerCamelCase__  )

							# Let's go
							lowerCamelCase_	:							int									=parser.parse_args()

							if not hasattr(lowerCamelCase__    ,						"func"  ):
														parser.print_help()
														exit(1  )

							# Run
							args.func(lowerCamelCase__  )


if __name__ == "__main__":
						main()



