


__magic_name__       					=      [0.33, 0.44, 0.55, 0.44, 0.33]
__magic_name__       					=      3
__magic_name__       					=      5

# Buffer Space (with Parameters Space)
__magic_name__       					=      []
__magic_name__       					=      []

# Machine Time
__magic_name__       					=      0







def     __magic_name__  (      lowerCAmelCase_):
	'''simple docstring'''


	global buffer_space, params_space, machine_time, K, m, t

	# Choosing Dynamical Systems (All)
	for key, value in enumerate(lowerCAmelCase_):
		# Evolution Parameter
		lowerCamelCase_			:							Union[str, Any]      =       float(seed / value)

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

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

		# Modification (Transition Function) - Jumps
		lowerCamelCase_			:							Optional[Any]      =       round(float(r * value * (1 - value))      ,					10)
		lowerCamelCase_			:							Dict      =       r  # Saving to Parameters Space

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

	# Machine Time
	machine_time += 1







def     __magic_name__  (      ):
	'''simple docstring'''


	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)
	lowerCamelCase_			:							List[Any]      =       machine_time % m

	# Evolution (Time Length)
	for _ in range(0      ,					lowerCAmelCase_):
		# Variables (Position + Parameters)
		lowerCamelCase_			:							Dict      =       params_space[key]
		lowerCamelCase_			:							List[Any]      =       buffer_space[key]

		# Modification (Transition Function) - Flow
		lowerCamelCase_			:							Tuple      =       round(float(r * value * (1 - value))      ,					10)
		lowerCamelCase_			:							Union[str, Any]      =       (machine_time * 0.01 + r * 1.01) % 1 + 3

	# Choosing Chaotic Data
	lowerCamelCase_			:							Optional[int]      =       int(buffer_space[(key + 2) % m] * (10**10))
	lowerCamelCase_			:							List[Any]      =       int(buffer_space[(key - 2) % m] * (10**10))

	# Machine Time
	machine_time += 1

	return xorshift(lowerCAmelCase_      ,					lowerCAmelCase_) % 0Xf_f_f_f_f_f_f_f







def     __magic_name__  (      ):
	'''simple docstring'''


	global buffer_space, params_space, machine_time, K, m, t

	lowerCamelCase_			:							Tuple      =       K
	lowerCamelCase_			:							str      =       [0] * m
	lowerCamelCase_			:							str      =       0


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

							# Pushing Data (Input)
							import random

							__magic_name__       					=      random.sample(range(0XFF_FFF_FFF), 1_0_0)
							for chunk in message:
														push(chunk)

							# for controlling
							__magic_name__       					=      ''''''

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





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__magic_name__       					=      {'''configuration_detr''': ['''DETR_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DetrConfig''', '''DetrOnnxConfig''']}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__magic_name__       					=      ['''DetrFeatureExtractor''']
							__magic_name__       					=      ['''DetrImageProcessor''']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__magic_name__       					=      [
							    '''DETR_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''DetrForObjectDetection''',
							    '''DetrForSegmentation''',
							    '''DetrModel''',
							    '''DetrPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_detr import DetrFeatureExtractor
														from .image_processing_detr import DetrImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_detr import (
														    DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
														    DetrForObjectDetection,
														    DetrForSegmentation,
														    DetrModel,
														    DetrPreTrainedModel,
														)

else:
							import sys

							__magic_name__       					=      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

