import warnings
from collections.abc import Callable
from typing import Any

import numpy
from matplotlib import pyplot

a_					      = 0.25 + 0.0j
a_					      = -0.4 + 0.6j
a_					      = -0.1 + 0.651j
a_					      = -2.0
a_					      = 56
a_					      = 2.0
a_					      = 666





def      __lowercase  (		lowerCamelCase      :  complex						,						lowerCamelCase      :  numpy.ndarray			):
 return numpy.exp(lowerCamelCase			) + c_parameter





def      __lowercase  (		lowerCamelCase      :  complex						,						lowerCamelCase      :  numpy.ndarray			):
 return z_values * z_values + c_parameter





def      __lowercase  (		lowerCamelCase      :  float						,						lowerCamelCase      :  int			):
 UpperCamelCase_      :		List[str]				=      numpy.linspace(-window_size						,						lowerCamelCase						,						lowerCamelCase			)
 UpperCamelCase_      :		Optional[int]				=      x.reshape((nb_pixels, 1)			)
 UpperCamelCase_      :		Union[str, Any]				=      numpy.linspace(-window_size						,						lowerCamelCase						,						lowerCamelCase			)
 UpperCamelCase_      :		List[Any]				=      y.reshape((1, nb_pixels)			)
 return x + 1.0j * y





def      __lowercase  (		lowerCamelCase      :  Callable[[Any, numpy.ndarray], numpy.ndarray]						,						lowerCamelCase      :  Any						,						lowerCamelCase      :  int						,						lowerCamelCase      :  numpy.ndarray						,						lowerCamelCase      :  float | None = None						,						):
 UpperCamelCase_      :		List[Any]				=      z_a.astype('complex64'			)
 for _ in range(lowerCamelCase			):
  UpperCamelCase_      :		List[str]				=      eval_function(lowerCamelCase						,						lowerCamelCase			)
  if infinity is not None:
   numpy.nan_to_num(lowerCamelCase						,						copy=lowerCamelCase						,						nan=lowerCamelCase			)
   UpperCamelCase_      :		List[Any]				=      infinity
 return z_n





def      __lowercase  (		lowerCamelCase      :  str						,						lowerCamelCase      :  Any						,						lowerCamelCase      :  float						,						lowerCamelCase      :  numpy.ndarray						,						):
 UpperCamelCase_      :		Dict				=      (abs(lowerCamelCase			)).transpose()
 UpperCamelCase_      :		Optional[int]				=      abs_z_final[::-1, :]
 pyplot.matshow(abs_z_final < escape_radius			)
 pyplot.title(F"Julia set of ${function_label}$, $c={function_params}$"			)
 pyplot.show()





def      __lowercase  (		):
 warnings.filterwarnings(
     'ignore'						,						category=lowerCamelCase						,						message='overflow encountered in multiply'			)
 warnings.filterwarnings(
     'ignore'						,						category=lowerCamelCase						,						message='invalid value encountered in multiply'						,						)
 warnings.filterwarnings(
     'ignore'						,						category=lowerCamelCase						,						message='overflow encountered in absolute'			)
 warnings.filterwarnings(
     'ignore'						,						category=lowerCamelCase						,						message='overflow encountered in exp'			)


if __name__ == "__main__":
   a_					      = prepare_grid(window_size, nb_pixels)

   ignore_overflow_warnings()  # See file header for explanations

   a_					      = 24
   a_					      = 2 * abs(c_cauliflower) + 1
   a_					      = iterate_function(
       eval_quadratic_polynomial,
       c_cauliflower,
       nb_iterations,
       z_a,
       infinity=1.1 * escape_radius,
   )
   show_results('z^2+c', c_cauliflower, escape_radius, z_final)

   a_					      = 64
   a_					      = 2 * abs(c_polynomial_a) + 1
   a_					      = iterate_function(
       eval_quadratic_polynomial,
       c_polynomial_a,
       nb_iterations,
       z_a,
       infinity=1.1 * escape_radius,
   )
   show_results('z^2+c', c_polynomial_a, escape_radius, z_final)

   a_					      = 161
   a_					      = 2 * abs(c_polynomial_a) + 1
   a_					      = iterate_function(
       eval_quadratic_polynomial,
       c_polynomial_a,
       nb_iterations,
       z_a,
       infinity=1.1 * escape_radius,
   )
   show_results('z^2+c', c_polynomial_a, escape_radius, z_final)

   a_					      = 12
   a_					      = 10_000.0
   a_					      = iterate_function(
       eval_exponential,
       c_exponential,
       nb_iterations,
       z_a + 2,
       infinity=1.0E10,
   )
   show_results('e^z+c', c_exponential, escape_radius, z_final)




from datetime import date

import requests

a_					      = 'https://api.carbonintensity.org.uk/intensity'





def      __lowercase  (		):
 UpperCamelCase_      :		Dict				=      requests.get(lowerCamelCase			).json()['data'][0]
 return last_half_hour["intensity"]["actual"]





def      __lowercase  (		lowerCamelCase      :  Union[str, Any]						,						lowerCamelCase      :  Union[str, Any]			):
 return requests.get(F"{BASE_URL}/{start}/{end}"			).json()["data"]


if __name__ == "__main__":
   for entry in fetch_from_to(start=date(2_020, 10, 1), end=date(2_020, 10, 3)):
      print('from {from} to {to}: {intensity[actual]}'.format(**entry))
   print(F"""{fetch_last_half_hour() = }""")



