





'''simple docstring'''


import itertools
from dataclasses import dataclass
from typing import Optional

import pyarrow as pa

import datasets
from datasets.table import table_cast


__lowercase							:				Tuple					=       datasets.utils.logging.get_logger(__name__)

@dataclass
class 		__lowercase			(					datasets.BuilderConfig      ):
			lowerCamelCase     :						Optional[datasets.Features]		 =     None

class 		__lowercase			(					datasets.ArrowBasedBuilder      ):
			lowerCamelCase     :						Tuple		 =     ArrowConfig

			def     UpperCAmelCase__	(self ):
								return datasets.DatasetInfo(features=self.config.features )

			def     UpperCAmelCase__	(self     ,				A ):
								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(A     ,				(str, list, tuple) ):
													lowerCamelCase_   : Optional[Any]       =						data_files
													if isinstance(A     ,				A ):
																		lowerCamelCase_   : Any       =						[files]
													# Use `dl_manager.iter_files` to skip hidden files in an extracted archive
													lowerCamelCase_   : List[Any]       =						[dl_manager.iter_files(A ) for file in files]
													return [datasets.SplitGenerator(name=datasets.Split.TRAIN     ,				gen_kwargs={'''files''': files} )]
								lowerCamelCase_   : int       =						[]
								for split_name, files in data_files.items():
													if isinstance(A     ,				A ):
																		lowerCamelCase_   : Dict       =						[files]
													# Use `dl_manager.iter_files` to skip hidden files in an extracted archive
													lowerCamelCase_   : Dict       =						[dl_manager.iter_files(A ) for file in files]
													# Infer features is they are stoed in the arrow schema
													if self.info.features is None:
																		for file in itertools.chain.from_iterable(A ):
																							with open(A     ,				'''rb''' ) as f:
																												lowerCamelCase_   : Union[str, Any]       =						datasets.Features.from_arrow_schema(pa.ipc.open_stream(A ).schema )
																							break
													splits.append(datasets.SplitGenerator(name=A     ,				gen_kwargs={'''files''': files} ) )
								return splits

			def     UpperCAmelCase__	(self     ,				A ):
								if self.info.features is not None:
													# more expensive cast to support nested features with keys in a different order
													# allows str <-> int/float or str to Audio for example
													lowerCamelCase_   : List[str]       =						table_cast(A     ,				self.info.features.arrow_schema )
								return pa_table






			def     UpperCAmelCase__	(self     ,				A ):
								for file_idx, file in enumerate(itertools.chain.from_iterable(A ) ):
													with open(A     ,				'''rb''' ) as f:
																		try:
																							for batch_idx, record_batch in enumerate(pa.ipc.open_stream(A ) ):
																												lowerCamelCase_   : List[str]       =						pa.Table.from_batches([record_batch] )
																												# 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 F"""{file_idx}_{batch_idx}""", self._cast_table(A )
																		except ValueError as e:
																							logger.error(F"""Failed to read file '{file}' with error {type(A )}: {e}""" )
																							raise




'''simple docstring'''


import argparse
import logging
import sys
from unittest.mock import patch

import run_glue_with_pabee

from transformers.testing_utils import TestCasePlus


logging.basicConfig(level=logging.DEBUG)

__lowercase							:				Optional[Any]					=       logging.getLogger()




def lowercase_		(				)       ->							Union[str, Any]:
					'''simple docstring'''

					lowerCamelCase_   : Any       =						argparse.ArgumentParser()
					parser.add_argument('''-f'''			)
					lowerCamelCase_   : Optional[int]       =						parser.parse_args()
					return args.f






class 		__lowercase			(					_lowercase      ):

			def     UpperCAmelCase__	(self ):
								lowerCamelCase_   : Dict       =						logging.StreamHandler(sys.stdout )
								logger.addHandler(A )

								lowerCamelCase_   : int       =						self.get_auto_remove_tmp_dir()
								lowerCamelCase_   : Dict       =						F"""
            run_glue_with_pabee.py
            --model_type albert
            --model_name_or_path albert-base-v2
            --data_dir ./tests/fixtures/tests_samples/MRPC/
            --output_dir {tmp_dir}
            --overwrite_output_dir
            --task_name mrpc
            --do_train
            --do_eval
            --per_gpu_train_batch_size=2
            --per_gpu_eval_batch_size=1
            --learning_rate=2e-5
            --max_steps=50
            --warmup_steps=2
            --seed=42
            --max_seq_length=128
            """.split()

								with patch.object(A     ,				'''argv'''     ,				A ):
													lowerCamelCase_   : Optional[Any]       =						run_glue_with_pabee.main()
													for value in result.values():
																		self.assertGreaterEqual(A     ,				0.75 )


