
'''simple docstring'''
import argparse
from collections import defaultdict

def 						UpperCamelCase_     (	__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE       ):
    """simple docstring"""






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

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

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

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

            if count == done_test[_id]:
                snake_case_ :    Union[str, Any]     			=						True

        if in_class and in_func and in_line:
            if ")" not in line:
                continue
            else:
                snake_case_ :    Optional[int]     			=						True

        if in_class and in_func and in_line and insert_line:
            new_lines.append(f'{spaces * " "}{correct_line}'       )
            snake_case_ :    Optional[Any]     			=						False
        else:
            new_lines.append(snake_case__       )

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

def 						UpperCamelCase_     (	__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE=None       ):
    """simple docstring"""






    if fail is not None:
        with open(snake_case__,		"r"       ) as f:
            snake_case_ :    List[str]     			=						{l.strip() for l in f.readlines()}
    else:
        snake_case_ :    str     			=						None

    with open(snake_case__,		"r"       ) as f:
        snake_case_ :    List[str]     			=						f.readlines()

    snake_case_ :    Tuple     			=						defaultdict(snake_case__       )
    for line in correct_lines:
        snake_case_ :    List[str]     			=						line.split(";"       )
        if test_failures is None or "::".join([file, class_name, test_name]       ) in test_failures:
            overwrite_file(snake_case__,		snake_case__,		snake_case__,		snake_case__,		snake_case__       )


if __name__ == "__main__":
  a_											=						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)
  a_											=						parser.parse_args()

  main(args.correct_filename, args.fail_filename)






'''simple docstring'''
import doctest
from collections import deque

import numpy as np






class    UpperCAmelCase_				:





 def __init__(    self):
     snake_case_ :    List[Any]     			=						[2, 1, 2, -1]
     snake_case_ :    int     			=						[1, 2, 3, 4]





 def        snake_case__		(    self):
     snake_case_ :    str     			=						len(self.first_signal)
     snake_case_ :    Any     			=						len(self.second_signal)

     snake_case_ :    List[Any]     			=						max(lowercase_ ,       lowercase_)

     # create a zero matrix of max_length x max_length
     snake_case_ :    Dict     			=						[[0] * max_length for i in range(lowercase_)]

     # fills the smaller signal with zeros to make both signals of same length
     if length_first_signal < length_second_signal:
         self.first_signal += [0] * (max_length - length_first_signal)
     elif length_first_signal > length_second_signal:
         self.second_signal += [0] * (max_length - length_second_signal)
     for i in range(lowercase_):
         snake_case_ :    List[str]     			=						deque(self.second_signal)
         rotated_signal.rotate(lowercase_)
         for j, item in enumerate(lowercase_):
             matrix[i][j] += item

        # multiply the matrix with the first signal
     snake_case_ :    Any     			=						np.matmul(np.transpose(lowercase_) ,       np.transpose(self.first_signal))

     # rounding-off to two decimal places
     return [round(lowercase_ ,       2) for i in final_signal]


if __name__ == "__main__":
  doctest.testmod()




