
import re
from pathlib import Path
from unittest import TestCase

import pytest

@pytest.mark.integration
class __snake_case		(				lowerCAmelCase					):
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case				):



           '''simple docstring'''







           with open(snake_case		,encoding="""utf-8"""				) as input_file:
                  lowercase							:					int	     =				re.compile(r"""(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)"""				)
                  lowercase							:					str	     =				input_file.read()
                  lowercase							:					List[Any]	     =				regexp.search(snake_case				)

           return match
    def 				_SCREAMING_SNAKE_CASE	(  self		,snake_case				):



           '''simple docstring'''







           with open(snake_case		,encoding="""utf-8"""				) as input_file:
                  lowercase							:					List[str]	     =				re.compile(r"""#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()"""		,re.DOTALL				)
                  lowercase							:					List[str]	     =				input_file.read()
                  # use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
                  lowercase							:					Optional[Any]	     =				regexp.finditer(snake_case				)

           lowercase							:					int	     =				[match for match in matches if match is not None and match.group(1				) is not None]
           return matches[0] if matches else None
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           lowercase							:					Any	     =				Path("""./datasets"""				)
           lowercase							:					Dict	     =				list(dataset_paths.absolute().glob("""**/*.py"""				)				)

           for dataset in dataset_files:
                  if self._no_encoding_on_file_open(str(snake_case				)				):
                         raise AssertionError(f"open(...) must use utf-8 encoding in {dataset}"				)
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           lowercase							:					Dict	     =				Path("""./datasets"""				)
           lowercase							:					List[Any]	     =				list(dataset_paths.absolute().glob("""**/*.py"""				)				)

           for dataset in dataset_files:
                  if self._no_print_statements(str(snake_case				)				):
                         raise AssertionError(f"print statement found in {dataset}. Use datasets.logger/logging instead."				)


from collections.abc import Callable

import numpy as np







def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   np.array:
       lowercase							:					Optional[int]	     =				int(np.ceil((x_end - xa) / step_size    )    )
       lowercase							:					List[Any]	     =				np.zeros((n + 1,)    )
       lowercase							:					Optional[int]	     =				ya
       lowercase							:					Optional[int]	     =				xa

       for k in range(SCREAMING_SNAKE_CASE__    ):
              lowercase							:					str	     =				y[k] + step_size * ode_func(SCREAMING_SNAKE_CASE__ ,     y[k]    )
              lowercase							:					Union[str, Any]	     =				y[k] + (
                  (step_size / 2) * (ode_func(SCREAMING_SNAKE_CASE__ ,     y[k]    ) + ode_func(x + step_size ,     SCREAMING_SNAKE_CASE__    ))
              )
              x += step_size

       return y


if __name__ == "__main__":
  import doctest

  doctest.testmod()
