
"""simple docstring"""

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

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

# Machine Time
__A							=     0



def 					UpperCamelCase__       (						lowercase__					:       int				):
		global buffer_space, params_space, machine_time, K, m, t

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

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

				# Control Theory: Trajectory Change
				snake_case						:  Union[str, Any]        =			(params_space[key] + e) % 1 + 3

				# Modification (Transition Function) - Jumps
				snake_case						:  List[str]        =			round(float(r * value * (1 - value)				)    ,       10				)
				snake_case						:  str        =			r  # Saving to Parameters Space

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

		# Machine Time
		machine_time += 1



def 					UpperCamelCase__       (						):
		global buffer_space, params_space, machine_time, K, m, t

		# PRNG (Xorshift by George Marsaglia)
		def xorshift(lowercase__					:       Any    ,       lowercase__					:       Optional[Any]				):
				x ^= y >> 13
				y ^= x << 17
				x ^= y >> 5
				return x

		# Choosing Dynamical Systems (Increment)
		snake_case						:  Union[str, Any]        =			machine_time % m

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

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

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

		# Machine Time
		machine_time += 1

		return xorshift(lowercase__    ,       lowercase__				) % 0xFF_FFF_FFF



def 					UpperCamelCase__       (						):
		global buffer_space, params_space, machine_time, K, m, t

		snake_case						:  List[Any]        =			K
		snake_case						:  Any        =			[0] * m
		snake_case						:  str        =			0


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

							# Pushing Data (Input)
							import random

							__A							=     random.sample(range(0XFFFF_FFFF), 100)
							for chunk in message:
														push(chunk)

							# for controlling
							__A							=     ""

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







"""simple docstring"""

from typing import TYPE_CHECKING

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


__A							=     {
    "configuration_flava": [
        "FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "FlavaConfig",
        "FlavaImageCodebookConfig",
        "FlavaImageConfig",
        "FlavaMultimodalConfig",
        "FlavaTextConfig",
    ],
}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__A							=     ["FlavaFeatureExtractor"]
							__A							=     ["FlavaImageProcessor"]
							__A							=     ["FlavaProcessor"]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__A							=     [
							    "FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "FlavaForPreTraining",
							    "FlavaImageCodebook",
							    "FlavaImageModel",
							    "FlavaModel",
							    "FlavaMultimodalModel",
							    "FlavaPreTrainedModel",
							    "FlavaTextModel",
							]

if TYPE_CHECKING:
							from .configuration_flava import (
							    FLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    FlavaConfig,
							    FlavaImageCodebookConfig,
							    FlavaImageConfig,
							    FlavaMultimodalConfig,
							    FlavaTextConfig,
							)

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_flava import FlavaFeatureExtractor
														from .image_processing_flava import FlavaImageProcessor
														from .processing_flava import FlavaProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_flava import (
														    FLAVA_PRETRAINED_MODEL_ARCHIVE_LIST,
														    FlavaForPreTraining,
														    FlavaImageCodebook,
														    FlavaImageModel,
														    FlavaModel,
														    FlavaMultimodalModel,
														    FlavaPreTrainedModel,
														    FlavaTextModel,
														)

else:
							import sys

							__A							=     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

