



"""simple docstring"""







import textwrap

import pyarrow as pa
import pytest

from datasets import Features, Value
from datasets.packaged_modules.json.json import Json



@pytest.fixture
def   a_	(			__a      ):
					A__				=   tmp_path / '''file.jsonl'''
					A__				=   textwrap.dedent(
					    '''\
        {"col_1": -1}
        {"col_1": 1, "col_2": 2}
        {"col_1": 10, "col_2": 20}
        '''      )
					with open(SCREAMING_SNAKE_CASE__		,							'''w'''      ) as f:
										f.write(SCREAMING_SNAKE_CASE__      )
					return str(SCREAMING_SNAKE_CASE__      )



@pytest.fixture
def   a_	(			__a      ):
					A__				=   tmp_path / '''file_utf16_encoded.jsonl'''
					A__				=   textwrap.dedent(
					    '''\
        {"col_1": -1}
        {"col_1": 1, "col_2": 2}
        {"col_1": 10, "col_2": 20}
        '''      )
					with open(SCREAMING_SNAKE_CASE__		,							'''w'''		,							encoding='''utf-16'''      ) as f:
										f.write(SCREAMING_SNAKE_CASE__      )
					return str(SCREAMING_SNAKE_CASE__      )



@pytest.fixture
def   a_	(			__a      ):
					A__				=   tmp_path / '''file_with_list_of_dicts.json'''
					A__				=   textwrap.dedent(
					    '''\
        [
            {"col_1": -1},
            {"col_1": 1, "col_2": 2},
            {"col_1": 10, "col_2": 20}
        ]
        '''      )
					with open(SCREAMING_SNAKE_CASE__		,							'''w'''      ) as f:
										f.write(SCREAMING_SNAKE_CASE__      )
					return str(SCREAMING_SNAKE_CASE__      )



@pytest.fixture
def   a_	(			__a      ):
					A__				=   tmp_path / '''file_with_list_of_dicts_field.json'''
					A__				=   textwrap.dedent(
					    '''\
        {
            "field1": 1,
            "field2": "aabb",
            "field3": [
                {"col_1": -1},
                {"col_1": 1, "col_2": 2},
                {"col_1": 10, "col_2": 20}
            ]
        }
        '''      )
					with open(SCREAMING_SNAKE_CASE__		,							'''w'''      ) as f:
										f.write(SCREAMING_SNAKE_CASE__      )
					return str(SCREAMING_SNAKE_CASE__      )



@pytest.mark.parametrize(
    '''file_fixture, config_kwargs'''		,							[
        ('''jsonl_file''', {}),
        ('''jsonl_file_utf16_encoded''', {'''encoding''': '''utf-16'''}),
        ('''json_file_with_list_of_dicts''', {}),
        ('''json_file_with_list_of_dicts_field''', {'''field''': '''field3'''}),
    ]		,							)
def   a_	(			__a		,							__a		,							__a      ):
					A__				=   Json(**SCREAMING_SNAKE_CASE__      )
					A__				=   json._generate_tables([[request.getfixturevalue(SCREAMING_SNAKE_CASE__      )]]      )
					A__				=   pa.concat_tables([table for _, table in generator]      )
					assert pa_table.to_pydict() == {"col_1": [-1, 1, 10], "col_2": [None, 2, 20]}



@pytest.mark.parametrize(
    '''file_fixture, config_kwargs'''		,							[
        (
            '''jsonl_file''',
            {'''features''': Features({'''col_1''': Value('''int64'''      ), '''col_2''': Value('''int64'''      ), '''missing_col''': Value('''string'''      )}      )},
        ),
        (
            '''json_file_with_list_of_dicts''',
            {'''features''': Features({'''col_1''': Value('''int64'''      ), '''col_2''': Value('''int64'''      ), '''missing_col''': Value('''string'''      )}      )},
        ),
        (
            '''json_file_with_list_of_dicts_field''',
            {
                '''field''': '''field3''',
                '''features''': Features(
                    {'''col_1''': Value('''int64'''      ), '''col_2''': Value('''int64'''      ), '''missing_col''': Value('''string'''      )}      ),
            },
        ),
    ]		,							)
def   a_	(			__a		,							__a		,							__a      ):
					A__				=   Json(**SCREAMING_SNAKE_CASE__      )
					A__				=   json._generate_tables([[request.getfixturevalue(SCREAMING_SNAKE_CASE__      )]]      )
					A__				=   pa.concat_tables([table for _, table in generator]      )
					assert pa_table.to_pydict() == {"col_1": [-1, 1, 10], "col_2": [None, 2, 20], "missing_col": [None, None, None]}








"""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)

__snake_case	:				List[str]  					=			logging.getLogger()



def   a_	(			):
     A__				=   argparse.ArgumentParser()
     parser.add_argument('''-f'''      )
     A__				=   parser.parse_args()
     return args.f

class       UpperCamelCase  (					a				):





     """simple docstring"""






     def 						A__  (					self :							Optional[int] ):
          A__				=   logging.StreamHandler(sys.stdout )
          logger.addHandler(_lowerCamelCase )

          A__				=   self.get_auto_remove_tmp_dir()
          A__				=   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(_lowerCamelCase	,      '''argv'''	,      _lowerCamelCase ):
               A__				=   run_glue_with_pabee.main()
               for value in result.values():
                    self.assertGreaterEqual(_lowerCamelCase	,      0.75 )



