

import logging

# standard libraries
import sys

import numpy as np
import pytest  # type: ignore

# Custom/local libraries
from matrix import matrix_operation as matop

SCREAMING_SNAKE_CASE:    Optional[int]											=   [[1_2, 1_0], [3, 9]]
SCREAMING_SNAKE_CASE:    Union[str, Any]											=   [[3, 4], [7, 4]]
SCREAMING_SNAKE_CASE:    Optional[int]											=   [[3, 0, 2], [2, 0, -2], [0, 1, 1]]
SCREAMING_SNAKE_CASE:    Any											=   [[3, 0, -2], [2, 0, 2], [0, 1, 1]]
SCREAMING_SNAKE_CASE:    Union[str, Any]											=   [[3, 0, 2], [2, 0, -2], [0, 1, 1], [2, 0, -2]]
SCREAMING_SNAKE_CASE:    Union[str, Any]											=   [1]
SCREAMING_SNAKE_CASE:    str											=   [2]

SCREAMING_SNAKE_CASE:    Union[str, Any]											=   logging.getLogger()
SCREAMING_SNAKE_CASE:    Optional[Any]											=   logging.DEBUG
SCREAMING_SNAKE_CASE:    Union[str, Any]											=   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 				_a       (				lowerCAmelCase						,	lowerCAmelCase   )->  Optional[Any]:







		if (np.array(_A   )).shape < (2, 2) or (np.array(_A   )).shape < (2, 2):
				with pytest.raises(_A   ):
						logger.info(F'''\n\t{test_addition.__name__} returned integer'''   )
						matop.add(_A						,	_A   )
		elif (np.array(_A   )).shape == (np.array(_A   )).shape:
				logger.info(F'''\n\t{test_addition.__name__} with same matrix dims'''   )
				SCREAMING_SNAKE_CASE_							=       (np.array(_A   ) + np.array(_A   )).tolist()
				SCREAMING_SNAKE_CASE_							=       matop.add(_A						,	_A   )
				assert theo == act
		else:
				with pytest.raises(_A   ):
						logger.info(F'''\n\t{test_addition.__name__} with different matrix dims'''   )
						matop.add(_A						,	_A   )


@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 				_a       (				lowerCAmelCase						,	lowerCAmelCase   )->  Optional[Any]:







		if (np.array(_A   )).shape < (2, 2) or (np.array(_A   )).shape < (2, 2):
				with pytest.raises(_A   ):
						logger.info(F'''\n\t{test_subtraction.__name__} returned integer'''   )
						matop.subtract(_A						,	_A   )
		elif (np.array(_A   )).shape == (np.array(_A   )).shape:
				logger.info(F'''\n\t{test_subtraction.__name__} with same matrix dims'''   )
				SCREAMING_SNAKE_CASE_							=       (np.array(_A   ) - np.array(_A   )).tolist()
				SCREAMING_SNAKE_CASE_							=       matop.subtract(_A						,	_A   )
				assert theo == act
		else:
				with pytest.raises(_A   ):
						logger.info(F'''\n\t{test_subtraction.__name__} with different matrix dims'''   )
						assert matop.subtract(_A						,	_A   )


@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 				_a       (				lowerCAmelCase						,	lowerCAmelCase   )->  int:







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


@pytest.mark.mat_ops
def 				_a       (				)->  Any:
		SCREAMING_SNAKE_CASE_							=       (3.5 * np.array(_A   )).tolist()
		SCREAMING_SNAKE_CASE_							=       matop.scalar_multiply(_A						,	3.5   )
		assert theo == act


@pytest.mark.mat_ops
def 				_a       (				)->  Dict:
		SCREAMING_SNAKE_CASE_							=       (np.identity(5   )).tolist()
		SCREAMING_SNAKE_CASE_							=       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 				_a       (				lowerCAmelCase   )->  int:







		if (np.array(_A   )).shape < (2, 2):
				with pytest.raises(_A   ):
						logger.info(F'''\n\t{test_transpose.__name__} returned integer'''   )
						matop.transpose(_A   )
		else:
				SCREAMING_SNAKE_CASE_							=       (np.transpose(_A   )).tolist()
				SCREAMING_SNAKE_CASE_							=       matop.transpose(_A						,	return_map=_A   )
				assert theo == act





SCREAMING_SNAKE_CASE:    Optional[Any]											=   [0.33, 0.44, 0.55, 0.44, 0.33]
SCREAMING_SNAKE_CASE:    int											=   3
SCREAMING_SNAKE_CASE:    str											=   5

# Buffer Space (with Parameters Space)
SCREAMING_SNAKE_CASE:    list[float]											=   []
SCREAMING_SNAKE_CASE:    list[float]											=   []

# Machine Time
SCREAMING_SNAKE_CASE:    str											=   0


def 				_a       (				lowerCAmelCase   )->  int:
		global buffer_space, params_space, machine_time, K, m, t

		# Choosing Dynamical Systems (All)
		for key, value in enumerate(lowerCAmelCase   ):
				# Evolution Parameter
				SCREAMING_SNAKE_CASE_							=       float(seed / value   )

				# Control Theory: Orbit Change
				SCREAMING_SNAKE_CASE_							=       (buffer_space[(key + 1) % m] + e) % 1

				# Control Theory: Trajectory Change
				SCREAMING_SNAKE_CASE_							=       (params_space[key] + e) % 1 + 3

				# Modification (Transition Function) - Jumps
				SCREAMING_SNAKE_CASE_							=       round(float(r * value * (1 - value)   )						,	10   )
				SCREAMING_SNAKE_CASE_							=       r  # Saving to Parameters Space

		# Logistic Map
		assert max(lowerCAmelCase   ) < 1
		assert max(lowerCAmelCase   ) < 4

		# Machine Time
		machine_time += 1


def 				_a       (				)->  int:
		global buffer_space, params_space, machine_time, K, m, t

		# PRNG (Xorshift by George Marsaglia)
		def xorshift(lowerCAmelCase						,	lowerCAmelCase   ):
				x ^= y >> 13
				y ^= x << 17
				x ^= y >> 5
				return x

		# Choosing Dynamical Systems (Increment)
		SCREAMING_SNAKE_CASE_							=       machine_time % m

		# Evolution (Time Length)
		for _ in range(0						,	lowerCAmelCase   ):
				# Variables (Position + Parameters)
				SCREAMING_SNAKE_CASE_							=       params_space[key]
				SCREAMING_SNAKE_CASE_							=       buffer_space[key]

				# Modification (Transition Function) - Flow
				SCREAMING_SNAKE_CASE_							=       round(float(r * value * (1 - value)   )						,	10   )
				SCREAMING_SNAKE_CASE_							=       (machine_time * 0.0_1 + r * 1.0_1) % 1 + 3

		# Choosing Chaotic Data
		SCREAMING_SNAKE_CASE_							=       int(buffer_space[(key + 2) % m] * (10**10)   )
		SCREAMING_SNAKE_CASE_							=       int(buffer_space[(key - 2) % m] * (10**10)   )

		# Machine Time
		machine_time += 1

		return xorshift(lowerCAmelCase						,	lowerCAmelCase   ) % 0xFFFF_FFFF


def 				_a       (				)->  Optional[Any]:
		global buffer_space, params_space, machine_time, K, m, t

		SCREAMING_SNAKE_CASE_							=       K
		SCREAMING_SNAKE_CASE_							=       [0] * m
		SCREAMING_SNAKE_CASE_							=       0


if __name__ == "__main__":
						# Initialization
						reset()

						# Pushing Data (Input)
						import random

						SCREAMING_SNAKE_CASE:    List[Any]											=   random.sample(range(0xff_ff_ff_ff), 1_0_0)
						for chunk in message:
												push(chunk)

						# for controlling
						SCREAMING_SNAKE_CASE:    List[str]											=   ''''''

						# Pulling Data (Output)
						while inp in ("e", "E"):
												print(f"""{format(pull(), '#04x')}""")
												print(buffer_space)
												print(params_space)
												SCREAMING_SNAKE_CASE:    List[Any]											=   input('''(e)exit? ''').strip()