




'''simple docstring'''






import logging

# standard libraries
import sys

import numpy as np
import pytest  # type: ignore

# Custom/local libraries
from matrix import matrix_operation as matop

A_ 			=		[[12, 10], [3, 9]]
A_ 			=		[[3, 4], [7, 4]]
A_ 			=		[[3, 0, 2], [2, 0, -2], [0, 1, 1]]
A_ 			=		[[3, 0, -2], [2, 0, 2], [0, 1, 1]]
A_ 			=		[[3, 0, 2], [2, 0, -2], [0, 1, 1], [2, 0, -2]]
A_ 			=		[1]
A_ 			=		[2]

A_ 			=		logging.getLogger()
A_ 			=		logging.DEBUG
A_ 			=		logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)






@pytest.mark.mat_ops
@pytest.mark.parametrize(
    ('mat1', 'mat2')							,			[(mat_a, mat_b), (mat_c, mat_d), (mat_d, mat_e), (mat_f, mat_h)]		)
def 		UpperCamelCase__			(		__SCREAMING_SNAKE_CASE							,			__SCREAMING_SNAKE_CASE		)						->      Optional[int]:



      if (np.array(__SCREAMING_SNAKE_CASE		)).shape < (2, 2) or (np.array(__SCREAMING_SNAKE_CASE		)).shape < (2, 2):
            with pytest.raises(__SCREAMING_SNAKE_CASE		):
                  logger.info(f"\n\t{test_addition.__name__} returned integer"		)
                  matop.add(__SCREAMING_SNAKE_CASE							,			__SCREAMING_SNAKE_CASE		)
      elif (np.array(__SCREAMING_SNAKE_CASE		)).shape == (np.array(__SCREAMING_SNAKE_CASE		)).shape:
            logger.info(f"\n\t{test_addition.__name__} with same matrix dims"		)
            snake_case__					:      List[Any]  			=						(np.array(__SCREAMING_SNAKE_CASE		) + np.array(__SCREAMING_SNAKE_CASE		)).tolist()
            snake_case__					:      List[Any]  			=						matop.add(__SCREAMING_SNAKE_CASE							,			__SCREAMING_SNAKE_CASE		)
            assert theo == act
      else:
            with pytest.raises(__SCREAMING_SNAKE_CASE		):
                  logger.info(f"\n\t{test_addition.__name__} with different matrix dims"		)
                  matop.add(__SCREAMING_SNAKE_CASE							,			__SCREAMING_SNAKE_CASE		)






@pytest.mark.mat_ops
@pytest.mark.parametrize(
    ('mat1', 'mat2')							,			[(mat_a, mat_b), (mat_c, mat_d), (mat_d, mat_e), (mat_f, mat_h)]		)
def 		UpperCamelCase__			(		__SCREAMING_SNAKE_CASE							,			__SCREAMING_SNAKE_CASE		)						->      Optional[Any]:



      if (np.array(__SCREAMING_SNAKE_CASE		)).shape < (2, 2) or (np.array(__SCREAMING_SNAKE_CASE		)).shape < (2, 2):
            with pytest.raises(__SCREAMING_SNAKE_CASE		):
                  logger.info(f"\n\t{test_subtraction.__name__} returned integer"		)
                  matop.subtract(__SCREAMING_SNAKE_CASE							,			__SCREAMING_SNAKE_CASE		)
      elif (np.array(__SCREAMING_SNAKE_CASE		)).shape == (np.array(__SCREAMING_SNAKE_CASE		)).shape:
            logger.info(f"\n\t{test_subtraction.__name__} with same matrix dims"		)
            snake_case__					:      Union[str, Any]  			=						(np.array(__SCREAMING_SNAKE_CASE		) - np.array(__SCREAMING_SNAKE_CASE		)).tolist()
            snake_case__					:      str  			=						matop.subtract(__SCREAMING_SNAKE_CASE							,			__SCREAMING_SNAKE_CASE		)
            assert theo == act
      else:
            with pytest.raises(__SCREAMING_SNAKE_CASE		):
                  logger.info(f"\n\t{test_subtraction.__name__} with different matrix dims"		)
                  assert matop.subtract(__SCREAMING_SNAKE_CASE							,			__SCREAMING_SNAKE_CASE		)






@pytest.mark.mat_ops
@pytest.mark.parametrize(
    ('mat1', 'mat2')							,			[(mat_a, mat_b), (mat_c, mat_d), (mat_d, mat_e), (mat_f, mat_h)]		)
def 		UpperCamelCase__			(		__SCREAMING_SNAKE_CASE							,			__SCREAMING_SNAKE_CASE		)						->      Optional[Any]:



      if (np.array(__SCREAMING_SNAKE_CASE		)).shape < (2, 2) or (np.array(__SCREAMING_SNAKE_CASE		)).shape < (2, 2):
            logger.info(f"\n\t{test_multiplication.__name__} returned integer"		)
            with pytest.raises(__SCREAMING_SNAKE_CASE		):
                  matop.add(__SCREAMING_SNAKE_CASE							,			__SCREAMING_SNAKE_CASE		)
      elif (np.array(__SCREAMING_SNAKE_CASE		)).shape == (np.array(__SCREAMING_SNAKE_CASE		)).shape:
            logger.info(f"\n\t{test_multiplication.__name__} meets dim requirements"		)
            snake_case__					:      Tuple  			=						(np.matmul(__SCREAMING_SNAKE_CASE							,			__SCREAMING_SNAKE_CASE		)).tolist()
            snake_case__					:      Dict  			=						matop.multiply(__SCREAMING_SNAKE_CASE							,			__SCREAMING_SNAKE_CASE		)
            assert theo == act
      else:
            with pytest.raises(__SCREAMING_SNAKE_CASE		):
                  logger.info(
                      f"\n\t{test_multiplication.__name__} does not meet dim requirements"		)
                  assert matop.subtract(__SCREAMING_SNAKE_CASE							,			__SCREAMING_SNAKE_CASE		)






@pytest.mark.mat_ops
def 		UpperCamelCase__			(		)						->      Optional[Any]:
      snake_case__					:      Union[str, Any]  			=						(3.5 * np.array(__SCREAMING_SNAKE_CASE		)).tolist()
      snake_case__					:      Any  			=						matop.scalar_multiply(__SCREAMING_SNAKE_CASE							,			3.5		)
      assert theo == act






@pytest.mark.mat_ops
def 		UpperCamelCase__			(		)						->      Union[str, Any]:
      snake_case__					:      Union[str, Any]  			=						(np.identity(5		)).tolist()
      snake_case__					:      Optional[Any]  			=						matop.identity(5		)
      assert theo == act






@pytest.mark.mat_ops
@pytest.mark.parametrize('mat'							,			[mat_a, mat_b, mat_c, mat_d, mat_e, mat_f]		)
def 		UpperCamelCase__			(		__SCREAMING_SNAKE_CASE		)						->      Optional[int]:



      if (np.array(__SCREAMING_SNAKE_CASE		)).shape < (2, 2):
            with pytest.raises(__SCREAMING_SNAKE_CASE		):
                  logger.info(f"\n\t{test_transpose.__name__} returned integer"		)
                  matop.transpose(__SCREAMING_SNAKE_CASE		)
      else:
            snake_case__					:      int  			=						(np.transpose(__SCREAMING_SNAKE_CASE		)).tolist()
            snake_case__					:      Dict  			=						matop.transpose(__SCREAMING_SNAKE_CASE							,			return_map=__SCREAMING_SNAKE_CASE		)
            assert theo == act






'''simple docstring'''






import bsa
import requests






def 		UpperCamelCase__			(		__SCREAMING_SNAKE_CASE		)						->      dict[str, str]:
      return {
          "name": soup.ha.a.text,
          "genre": soup.find('span'							,			class_='genre'		).text.strip(),
          "rating": soup.strong.text,
          "page_link": f"https://www.imdb.com{soup.a.get('href'		)}",
      }






def 		UpperCamelCase__			(		__SCREAMING_SNAKE_CASE = 5		)						->      tuple:
      snake_case__					:      Tuple  			=						int(float(__SCREAMING_SNAKE_CASE		)		)
      if num_movies < 1:
            return ()
      snake_case__					:      Any  			=						(
          'https://www.imdb.com/search/title?title_type='
          f"feature&sort=num_votes,desc&count={num_movies}"
      )
      snake_case__					:      Union[str, Any]  			=						bsa.BeautifulSoup(requests.get(__SCREAMING_SNAKE_CASE		).content							,			'html.parser'		)
      return tuple(
          get_movie_data_from_soup(__SCREAMING_SNAKE_CASE		)
          for movie in source.find_all('div'							,			class_='lister-item mode-advanced'		)		)


if __name__ == "__main__":
      import json

      A_ 			=		int(input("How many movies would you like to see? "))
      print(
          ", ".join(
              json.dumps(movie, indent=4) for movie in get_imdb_top_movies(num_movies)
          )
      )
