
'''simple docstring'''

import argparse
from collections import defaultdict


def        UpperCAmelCase_ (  lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_      ,			lowerCamelCase_			):







 """simple docstring"""


 lowerCAmelCase__     :   int     		=	f'''{file}_{class_name}_{test_name}'''
 done_test[_id] += 1

 with open(__A      ,			"r"			) as f:
  lowerCAmelCase__     :   List[Any]     		=	f.readlines()

 lowerCAmelCase__     :   Tuple     		=	f'''class {class_name}('''
 lowerCAmelCase__     :   Optional[Any]     		=	f'''{4 * ' '}def {test_name}('''
 lowerCAmelCase__     :   Union[str, Any]     		=	f'''{8 * ' '}{correct_line.split()[0]}'''
 lowerCAmelCase__     :   List[Any]     		=	f'''{1_6 * ' '}{correct_line.split()[0]}'''
 lowerCAmelCase__     :   int     		=	False
 lowerCAmelCase__     :   Dict     		=	False
 lowerCAmelCase__     :   Optional[Any]     		=	False
 lowerCAmelCase__     :   str     		=	False
 lowerCAmelCase__     :   str     		=	0
 lowerCAmelCase__     :   Optional[Any]     		=	0

 lowerCAmelCase__     :   List[Any]     		=	[]
 for line in lines:
  if line.startswith(__A			):
   lowerCAmelCase__     :   List[str]     		=	True
  elif in_class and line.startswith(__A			):
   lowerCAmelCase__     :   int     		=	True
  elif in_class and in_func and (line.startswith(__A			) or line.startswith(__A			)):
   lowerCAmelCase__     :   str     		=	len(line.split(correct_line.split()[0]			)[0]			)
   count += 1

   if count == done_test[_id]:
    lowerCAmelCase__     :   Dict     		=	True

  if in_class and in_func and in_line:
   if ")" not in line:
    continue
   else:
    lowerCAmelCase__     :   Any     		=	True

  if in_class and in_func and in_line and insert_line:
   new_lines.append(f'''{spaces * ' '}{correct_line}'''			)
   lowerCAmelCase__     :   List[str]     		=	False
  else:
   new_lines.append(__A			)

 with open(__A      ,			"w"			) as f:
  for line in new_lines:
   f.write(__A			)


def        UpperCAmelCase_ (  lowerCamelCase_      ,			lowerCamelCase_=None			):







 """simple docstring"""


 if fail is not None:
  with open(__A      ,			"r"			) as f:
   lowerCAmelCase__     :   Optional[Any]     		=	{l.strip() for l in f.readlines()}
 else:
  lowerCAmelCase__     :   int     		=	None

 with open(__A      ,			"r"			) as f:
  lowerCAmelCase__     :   Union[str, Any]     		=	f.readlines()

 lowerCAmelCase__     :   Union[str, Any]     		=	defaultdict(__A			)
 for line in correct_lines:
  lowerCAmelCase__     :   Optional[int]     		=	line.split(";"			)
  if test_failures is None or "::".join([file, class_name, test_name]			) in test_failures:
   overwrite_file(__A      ,			__A      ,			__A      ,			__A      ,			__A			)


if __name__ == "__main__":
     snake_case									=    argparse.ArgumentParser()
     parser.add_argument("""--correct_filename""", help="""filename of tests with expected result""")
     parser.add_argument("""--fail_filename""", help="""filename of test failures""", type=str, default=None)
     snake_case									=    parser.parse_args()

     main(args.correct_filename, args.fail_filename)













'''simple docstring'''



from unittest import TestCase

from datasets import Sequence, Value
from datasets.arrow_dataset import Dataset
class UpperCAmelCase_       (     __A					):




      """simple docstring"""




      def 					A__   (			self      :		Optional[int]		)	->	List[str]:


       '''simple docstring'''

       return [
           {"col_1": 3, "col_2": "a"},
           {"col_1": 2, "col_2": "b"},
           {"col_1": 1, "col_2": "c"},
           {"col_1": 0, "col_2": "d"},
       ]






      def 					A__   (			self      :		Any		)	->	List[str]:


       '''simple docstring'''

       lowercase       : List[str]						={'''col_1''': [3, 2, 1, 0], '''col_2''': ['''a''', '''b''', '''c''', '''d''']}
       return Dataset.from_dict(UpperCAmelCase		)






      def 					A__   (			self      :		Any		)	->	Tuple:


       '''simple docstring'''

       lowercase       : Tuple						=self._create_example_records()
       lowercase       : Tuple						=Dataset.from_list(UpperCAmelCase		)
       self.assertListEqual(dset.column_names  ,   ['''col_1''', '''col_2''']		)
       for i, r in enumerate(UpperCAmelCase		):
        self.assertDictEqual(UpperCAmelCase  ,   example_records[i]		)






      def 					A__   (			self      :		Dict		)	->	List[str]:


       '''simple docstring'''

       lowercase       : Optional[Any]						=self._create_example_records()
       lowercase       : Union[str, Any]						=Dataset.from_list(UpperCAmelCase		)
       lowercase       : Tuple						=Dataset.from_dict({k: [r[k] for r in example_records] for k in example_records[0]}		)
       self.assertEqual(dset.info  ,   dset_from_dict.info		)






      def 					A__   (			self      :		str		)	->	List[Any]:  # checks what happens with missing columns


       '''simple docstring'''

       lowercase       : Tuple						=[{'''col_1''': 1}, {'''col_2''': '''x'''}]
       lowercase       : Optional[Any]						=Dataset.from_list(UpperCAmelCase		)
       self.assertDictEqual(dset[0]  ,   {'''col_1''': 1}		)
       self.assertDictEqual(dset[1]  ,   {'''col_1''': None}		)  # NB: first record is used for columns






      def 					A__   (			self      :		List[Any]		)	->	int:  # checks if the type can be inferred from the second record


       '''simple docstring'''

       lowercase       : List[Any]						=[{'''col_1''': []}, {'''col_1''': [1, 2]}]
       lowercase       : Union[str, Any]						=Dataset.from_list(UpperCAmelCase		)
       self.assertEqual(dset.info.features['''col_1''']  ,   Sequence(Value('''int64'''		)		)		)






      def 					A__   (			self      :		int		)	->	str:


       '''simple docstring'''

       lowercase       : List[str]						=Dataset.from_list([]		)
       self.assertEqual(len(UpperCAmelCase		)  ,   0		)
       self.assertListEqual(dset.column_names  ,   []		)



