
"""simple docstring"""






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

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

# Machine Time
__UpperCAmelCase 					=    0






def 		_snake_case			(      lowercase__						:    Tuple						)    ->							Optional[Any]:


			'''simple docstring'''





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

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

						# Control Theory: Orbit Change
						lowerCAmelCase_       :Union[str, Any]     	=    (buffer_space[(key + 1) % m] + e) % 1

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

						# Modification (Transition Function) - Jumps
						lowerCAmelCase_       :Tuple     	=    round(float(r * value * (1 - value)						) ,	1_0						)
						lowerCAmelCase_       :List[str]     	=    r  # Saving to Parameters Space

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

			# Machine Time
			machine_time += 1






def 		_snake_case			(      )    ->							Any:


			'''simple docstring'''





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

			# PRNG (Xorshift by George Marsaglia)
			def xorshift(lowercase__						:    Dict ,	lowercase__						:    Optional[Any]						):
						x ^= y >> 1_3
						y ^= x << 1_7
						x ^= y >> 5
						return x

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

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

						# Modification (Transition Function) - Flow
						lowerCAmelCase_       :Any     	=    round(float(r * value * (1 - value)						) ,	1_0						)
						lowerCAmelCase_       :str     	=    (machine_time * 0.01 + r * 1.01) % 1 + 3

			# Choosing Chaotic Data
			lowerCAmelCase_       :Union[str, Any]     	=    int(buffer_space[(key + 2) % m] * (1_0**1_0)						)
			lowerCAmelCase_       :List[str]     	=    int(buffer_space[(key - 2) % m] * (1_0**1_0)						)

			# Machine Time
			machine_time += 1

			return xorshift(lowercase__ ,	lowercase__						) % 0Xffff_ffff






def 		_snake_case			(      )    ->							Any:


			'''simple docstring'''





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

			lowerCAmelCase_       :Tuple     	=    K
			lowerCAmelCase_       :List[Any]     	=    [0] * m
			lowerCAmelCase_       :int     	=    0


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

				# Pushing Data (Input)
				import random

				__UpperCAmelCase 					=    random.sample(range(0xFFFFFFFF), 1_00)
				for chunk in message:
								push(chunk)

				# for controlling
				__UpperCAmelCase 					=    ''

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








"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


__UpperCAmelCase 					=    {
    'configuration_marian': ['MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MarianConfig', 'MarianOnnxConfig'],
}

try:
				if not is_sentencepiece_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__UpperCAmelCase 					=    ['MarianTokenizer']

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__UpperCAmelCase 					=    [
				    'MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'MarianForCausalLM',
				    'MarianModel',
				    'MarianMTModel',
				    'MarianPreTrainedModel',
				]

try:
				if not is_tf_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__UpperCAmelCase 					=    ['TFMarianModel', 'TFMarianMTModel', 'TFMarianPreTrainedModel']

try:
				if not is_flax_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__UpperCAmelCase 					=    ['FlaxMarianModel', 'FlaxMarianMTModel', 'FlaxMarianPreTrainedModel']

if TYPE_CHECKING:
				from .configuration_marian import MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP, MarianConfig, MarianOnnxConfig

				try:
								if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_marian import MarianTokenizer

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_marian import (
								    MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST,
								    MarianForCausalLM,
								    MarianModel,
								    MarianMTModel,
								    MarianPreTrainedModel,
								)

				try:
								if not is_tf_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_tf_marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel

				try:
								if not is_flax_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_flax_marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel

else:
				import sys

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






