


"""simple docstring"""





import itertools
from dataclasses import dataclass
from typing import Any, Callable, Dict, List, Optional, Union

import pandas as pd
import pyarrow as pa

import datasets
import datasets.config
from datasets.features.features import require_storage_cast
from datasets.table import table_cast
from datasets.utils.py_utils import Literal


snake_case__						:   Union[str, Any]			 = datasets.utils.logging.get_logger(__name__)

snake_case__						:   Optional[int]			 = ['''names''', '''prefix''']
snake_case__						:   Any			 = ['''warn_bad_lines''', '''error_bad_lines''', '''mangle_dupe_cols''']
snake_case__						:   Any			 = ['''encoding_errors''', '''on_bad_lines''']
snake_case__						:   Tuple			 = ['''date_format''']



@dataclass
class 						snake_case_(				datasets.BuilderConfig	):
     __UpperCamelCase     =    ","
     __UpperCamelCase     =    None
     __UpperCamelCase     =    "infer"
     __UpperCamelCase     =    None
     __UpperCamelCase     =    None
     __UpperCamelCase     =    None
     __UpperCamelCase     =    None
     __UpperCamelCase     =    None
     __UpperCamelCase     =    True
     __UpperCamelCase     =    None
     __UpperCamelCase     =    None
     __UpperCamelCase     =    None
     __UpperCamelCase     =    None
     __UpperCamelCase     =    False
     __UpperCamelCase     =    None
     __UpperCamelCase     =    None
     __UpperCamelCase     =    None
     __UpperCamelCase     =    True
     __UpperCamelCase     =    True
     __UpperCamelCase     =    False
     __UpperCamelCase     =    True
     __UpperCamelCase     =    None
     __UpperCamelCase     =    "."
     __UpperCamelCase     =    None
     __UpperCamelCase     =    '"'
     __UpperCamelCase     =    0
     __UpperCamelCase     =    None
     __UpperCamelCase     =    None
     __UpperCamelCase     =    None
     __UpperCamelCase     =    None
     __UpperCamelCase     =    True
     __UpperCamelCase     =    True
     __UpperCamelCase     =    0
     __UpperCamelCase     =    True
     __UpperCamelCase     =    False
     __UpperCamelCase     =    None
     __UpperCamelCase     =    10_000
     __UpperCamelCase     =    None
     __UpperCamelCase     =    "strict"
     __UpperCamelCase     =    "error"
     __UpperCamelCase     =    None






     def    lowerCamelCase__   (		self     :    Union[str, Any] ):
           if self.delimiter is not None:
                 lowerCAmelCase    :		Dict				=      self.delimiter
           if self.column_names is not None:
                 lowerCAmelCase    :		Dict				=      self.column_names






     @property
     def    lowerCamelCase__   (		self     :    Any ):
           lowerCAmelCase    :		Any				=      {
               '''sep''': self.sep,
               '''header''': self.header,
               '''names''': self.names,
               '''index_col''': self.index_col,
               '''usecols''': self.usecols,
               '''prefix''': self.prefix,
               '''mangle_dupe_cols''': self.mangle_dupe_cols,
               '''engine''': self.engine,
               '''converters''': self.converters,
               '''true_values''': self.true_values,
               '''false_values''': self.false_values,
               '''skipinitialspace''': self.skipinitialspace,
               '''skiprows''': self.skiprows,
               '''nrows''': self.nrows,
               '''na_values''': self.na_values,
               '''keep_default_na''': self.keep_default_na,
               '''na_filter''': self.na_filter,
               '''verbose''': self.verbose,
               '''skip_blank_lines''': self.skip_blank_lines,
               '''thousands''': self.thousands,
               '''decimal''': self.decimal,
               '''lineterminator''': self.lineterminator,
               '''quotechar''': self.quotechar,
               '''quoting''': self.quoting,
               '''escapechar''': self.escapechar,
               '''comment''': self.comment,
               '''encoding''': self.encoding,
               '''dialect''': self.dialect,
               '''error_bad_lines''': self.error_bad_lines,
               '''warn_bad_lines''': self.warn_bad_lines,
               '''skipfooter''': self.skipfooter,
               '''doublequote''': self.doublequote,
               '''memory_map''': self.memory_map,
               '''float_precision''': self.float_precision,
               '''chunksize''': self.chunksize,
               '''encoding_errors''': self.encoding_errors,
               '''on_bad_lines''': self.on_bad_lines,
               '''date_format''': self.date_format,
           }

           # some kwargs must not be passed if they don't have a default value
           # some others are deprecated and we can also not pass them if they are the default value
           for pd_read_csv_parameter in _PANDAS_READ_CSV_NO_DEFAULT_PARAMETERS + _PANDAS_READ_CSV_DEPRECATED_PARAMETERS:
                 if pd_read_csv_kwargs[pd_read_csv_parameter] == getattr(CsvConfig()    , UpperCamelCase_ ):
                       del pd_read_csv_kwargs[pd_read_csv_parameter]

        # Remove 2.0 new arguments
           if not (datasets.config.PANDAS_VERSION.major >= 2):
                 for pd_read_csv_parameter in _PANDAS_READ_CSV_NEW_2_0_0_PARAMETERS:
                       del pd_read_csv_kwargs[pd_read_csv_parameter]

        # Remove 1.3 new arguments
           if not (datasets.config.PANDAS_VERSION.major >= 1 and datasets.config.PANDAS_VERSION.minor >= 3):
                 for pd_read_csv_parameter in _PANDAS_READ_CSV_NEW_1_3_0_PARAMETERS:
                       del pd_read_csv_kwargs[pd_read_csv_parameter]

           return pd_read_csv_kwargs



class 						snake_case_(				datasets.ArrowBasedBuilder	):
     __UpperCamelCase     =    CsvConfig






     def    lowerCamelCase__   (		self     :    List[str] ):
           return datasets.DatasetInfo(features=self.config.features )






     def    lowerCamelCase__   (		self     :    Union[str, Any]    , UpperCamelCase_     :    List[str] ):
           if not self.config.data_files:
                 raise ValueError(F'''At least one data file must be specified, but got data_files={self.config.data_files}''' )
           lowerCAmelCase    :		Union[str, Any]				=      dl_manager.download_and_extract(self.config.data_files )
           if isinstance(UpperCamelCase_    , (str, list, tuple) ):
                 lowerCAmelCase    :		Dict				=      data_files
                 if isinstance(UpperCamelCase_    , UpperCamelCase_ ):
                       lowerCAmelCase    :		Tuple				=      [files]
                 lowerCAmelCase    :		List[Any]				=      [dl_manager.iter_files(UpperCamelCase_ ) for file in files]
                 return [datasets.SplitGenerator(name=datasets.Split.TRAIN    , gen_kwargs={'''files''': files} )]
           lowerCAmelCase    :		Tuple				=      []
           for split_name, files in data_files.items():
                 if isinstance(UpperCamelCase_    , UpperCamelCase_ ):
                       lowerCAmelCase    :		Optional[int]				=      [files]
                 lowerCAmelCase    :		Dict				=      [dl_manager.iter_files(UpperCamelCase_ ) for file in files]
                 splits.append(datasets.SplitGenerator(name=UpperCamelCase_    , gen_kwargs={'''files''': files} ) )
           return splits






     def    lowerCamelCase__   (		self     :    Optional[Any]    , UpperCamelCase_     :    pa.Table ):
           if self.config.features is not None:
                 lowerCAmelCase    :		Any				=      self.config.features.arrow_schema
                 if all(not require_storage_cast(UpperCamelCase_ ) for feature in self.config.features.values() ):
                       # cheaper cast
                       lowerCAmelCase    :		Union[str, Any]				=      pa.Table.from_arrays([pa_table[field.name] for field in schema]    , schema=UpperCamelCase_ )
                 else:
                       # more expensive cast; allows str <-> int/float or str to Audio for example
                       lowerCAmelCase    :		Any				=      table_cast(UpperCamelCase_    , UpperCamelCase_ )
           return pa_table






     def    lowerCamelCase__   (		self     :    Any    , UpperCamelCase_     :    str ):
           lowerCAmelCase    :		Tuple				=      self.config.features.arrow_schema if self.config.features else None
           # dtype allows reading an int column as str
           lowerCAmelCase    :		Dict				=      (
               {
                   name: dtype.to_pandas_dtype() if not require_storage_cast(UpperCamelCase_ ) else object
                   for name, dtype, feature in zip(schema.names    , schema.types    , self.config.features.values() )
               }
               if schema is not None
               else None
           )
           for file_idx, file in enumerate(itertools.chain.from_iterable(UpperCamelCase_ ) ):
                 lowerCAmelCase    :		List[Any]				=      pd.read_csv(UpperCamelCase_    , iterator=UpperCamelCase_    , dtype=UpperCamelCase_    , **self.config.pd_read_csv_kwargs )
                 try:
                       for batch_idx, df in enumerate(UpperCamelCase_ ):
                             lowerCAmelCase    :		List[Any]				=      pa.Table.from_pandas(UpperCamelCase_ )
                             # Uncomment for debugging (will print the Arrow table size and elements)
                             # logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}")
                             # logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows)))
                             yield (file_idx, batch_idx), self._cast_table(UpperCamelCase_ )
                 except ValueError as e:
                       logger.error(F'''Failed to read file \'{file}\' with error {type(UpperCamelCase_ )}: {e}''' )
                       raise





'''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.

import argparse

from ...utils.dataclasses import (
    ComputeEnvironment,
    DistributedType,
    DynamoBackend,
    PrecisionType,
    SageMakerDistributedType,
)
from ..menu import BulletMenu


UpperCAmelCase :       Any			   =     [
    'EAGER',
    'AOT_EAGER',
    'INDUCTOR',
    'NVFUSER',
    'AOT_NVFUSER',
    'AOT_CUDAGRAPHS',
    'OFI',
    'FX2TRT',
    'ONNXRT',
    'IPEX',
]







def    a__       (  a__      ,    a__=None      ,    a__=None      ,    a__=None						):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE     =      True
     while ask_again:
          __SCREAMING_SNAKE_CASE     =      input(a__						)
          try:
               if default is not None and len(a__						) == 0:
                    return default
               return convert_value(a__						) if convert_value is not None else result
          except Exception:
               if error_message is not None:
                    print(a__						)







def    a__       (  a__      ,    a__=[]      ,    a__=None      ,    a__=0						):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE     =      BulletMenu(a__      ,    a__						)
     __SCREAMING_SNAKE_CASE     =      menu.run(default_choice=a__						)
     return convert_value(a__						) if convert_value is not None else result







def    a__       (  a__						):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE     =      int(a__						)
     return ComputeEnvironment(["""LOCAL_MACHINE""", """AMAZON_SAGEMAKER"""][value]						)







def    a__       (  a__						):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE     =      int(a__						)
     return DistributedType(["""NO""", """MULTI_CPU""", """MULTI_XPU""", """MULTI_GPU""", """MULTI_NPU""", """TPU"""][value]						)







def    a__       (  a__						):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE     =      int(a__						)
     return DynamoBackend(DYNAMO_BACKENDS[value]						).value







def    a__       (  a__						):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE     =      int(a__						)
     return PrecisionType(["""no""", """fp16""", """bf16""", """fp8"""][value]						)







def    a__       (  a__						):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE     =      int(a__						)
     return SageMakerDistributedType(["""NO""", """DATA_PARALLEL""", """MODEL_PARALLEL"""][value]						)







def    a__       (  a__						):




     """simple docstring"""


     return {"yes": True, "no": False}[value.lower()]







class 						lowerCAmelCase__   (      argparse.RawDescriptionHelpFormatter					):



 """simple docstring"""



 def       UpperCAmelCase__		(		self					:       str					,							__SCREAMING_SNAKE_CASE					:       Optional[Any]					,							__SCREAMING_SNAKE_CASE					:       Dict					,							__SCREAMING_SNAKE_CASE					:       Optional[int]					,							__SCREAMING_SNAKE_CASE					:       List[Any]			)  -> Dict:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      super()._format_usage(__SCREAMING_SNAKE_CASE					,							__SCREAMING_SNAKE_CASE					,							__SCREAMING_SNAKE_CASE					,							__SCREAMING_SNAKE_CASE			)
      __SCREAMING_SNAKE_CASE     =      usage.replace("""<command> [<args>] """					,							""""""			)
      return usage






