

"""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_   :   List[str]        =       datasets.utils.logging.get_logger(__name__)

snake_case_   :   Dict        =       ["""names""", """prefix"""]
snake_case_   :   int        =       ["""warn_bad_lines""", """error_bad_lines""", """mangle_dupe_cols"""]
snake_case_   :   str        =       ["""encoding_errors""", """on_bad_lines"""]
snake_case_   :   int        =       ["""date_format"""]







@dataclass
class       snake_case__  ( datasets.BuilderConfig     ):
			SCREAMING_SNAKE_CASE__     				=						''','''
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						'''infer'''
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						True
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						False
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						True
			SCREAMING_SNAKE_CASE__     				=						True
			SCREAMING_SNAKE_CASE__     				=						False
			SCREAMING_SNAKE_CASE__     				=						True
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						'''.'''
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						'''"'''
			SCREAMING_SNAKE_CASE__     				=						0
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						True
			SCREAMING_SNAKE_CASE__     				=						True
			SCREAMING_SNAKE_CASE__     				=						0
			SCREAMING_SNAKE_CASE__     				=						True
			SCREAMING_SNAKE_CASE__     				=						False
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						10000
			SCREAMING_SNAKE_CASE__     				=						None
			SCREAMING_SNAKE_CASE__     				=						'''strict'''
			SCREAMING_SNAKE_CASE__     				=						'''error'''
			SCREAMING_SNAKE_CASE__     				=						None







			def 			__lowerCAmelCase				(			self			: Optional[Any]  ):





								'''simple docstring'''



								if self.delimiter is not None:
													UpperCAmelCase			:   Dict      =				self.delimiter
								if self.column_names is not None:
													UpperCAmelCase			:   Dict      =				self.column_names







			@property
			def 			__lowerCAmelCase				(			self			: List[str]  ):





								'''simple docstring'''



								UpperCAmelCase			:   Optional[int]      =				{
								    "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()			,  lowercase  ):
																		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     ):
			SCREAMING_SNAKE_CASE__     				=						CsvConfig







			def 			__lowerCAmelCase				(			self			: Any  ):





								'''simple docstring'''



								return datasets.DatasetInfo(features=self.config.features  )







			def 			__lowerCAmelCase				(			self			: Optional[int]			,  lowercase			: Optional[Any]  ):





								'''simple docstring'''



								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}"""  )
								UpperCAmelCase			:   int      =				dl_manager.download_and_extract(self.config.data_files  )
								if isinstance(lowercase			,  (str, list, tuple)  ):
													UpperCAmelCase			:   str      =				data_files
													if isinstance(lowercase			,  lowercase  ):
																		UpperCAmelCase			:   Optional[int]      =				[files]
													UpperCAmelCase			:   Tuple      =				[dl_manager.iter_files(lowercase  ) for file in files]
													return [datasets.SplitGenerator(name=datasets.Split.TRAIN			,  gen_kwargs={"files": files}  )]
								UpperCAmelCase			:   Union[str, Any]      =				[]
								for split_name, files in data_files.items():
													if isinstance(lowercase			,  lowercase  ):
																		UpperCAmelCase			:   List[str]      =				[files]
													UpperCAmelCase			:   Tuple      =				[dl_manager.iter_files(lowercase  ) for file in files]
													splits.append(datasets.SplitGenerator(name=lowercase			,  gen_kwargs={"files": files}  )  )
								return splits







			def 			__lowerCAmelCase				(			self			: List[Any]			,  lowercase			: pa.Table  ):





								'''simple docstring'''



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







			def 			__lowerCAmelCase				(			self			: str			,  lowercase			: Optional[Any]  ):





								'''simple docstring'''



								UpperCAmelCase			:   Any      =				self.config.features.arrow_schema if self.config.features else None
								# dtype allows reading an int column as str
								UpperCAmelCase			:   Tuple      =				(
								    {
								        name: dtype.to_pandas_dtype() if not require_storage_cast(lowercase  ) 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(lowercase  )  ):
													UpperCAmelCase			:   List[Any]      =				pd.read_csv(lowercase			,  iterator=lowercase			,  dtype=lowercase			,  **self.config.pd_read_csv_kwargs  )
													try:
																		for batch_idx, df in enumerate(lowercase  ):
																							UpperCAmelCase			:   Optional[int]      =				pa.Table.from_pandas(lowercase  )
																							# 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(lowercase  )
													except ValueError as e:
																		logger.error(f"""Failed to read file '{file}' with error {type(lowercase  )}: {e}"""  )
																		raise





"""simple docstring"""






snake_case_   :   List[str]        =       6_5_5_2_1



def   lowercase_	(    _lowercase       :		str	):




					'''simple docstring'''






					UpperCAmelCase			:   Dict      =				1
					UpperCAmelCase			:   Optional[int]      =				0
					for plain_chr in plain_text:
										UpperCAmelCase			:   int      =				(a + ord(_lowercase	)) % MOD_ADLER
										UpperCAmelCase			:   str      =				(b + a) % MOD_ADLER
					return (b << 16) | a


