




SCREAMING_SNAKE_CASE__	:				List[Any]    =       [0.33, 0.44, 0.55, 0.44, 0.33]
SCREAMING_SNAKE_CASE__	:				Union[str, Any]    =       3
SCREAMING_SNAKE_CASE__	:				List[Any]    =       5

# Buffer Space (with Parameters Space)
SCREAMING_SNAKE_CASE__	:				List[str]    =       []
SCREAMING_SNAKE_CASE__	:				Tuple    =       []

# Machine Time
SCREAMING_SNAKE_CASE__	:				Optional[Any]    =       0

def 					A				(				_SCREAMING_SNAKE_CASE   )     ->			Optional[int]:
       global buffer_space, params_space, machine_time, K, m, t

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

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

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

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

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

       # Machine Time
       machine_time += 1

def 					A				(				)     ->			str:
       global buffer_space, params_space, machine_time, K, m, t

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

       # Choosing Dynamical Systems (Increment)
       lowerCamelCase       :				Optional[Any]      			= machine_time % m

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

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

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

       # Machine Time
       machine_time += 1

       return xorshift(_A			,_A   ) % 0XFFFFFFFF

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

       lowerCamelCase       :				Optional[int]      			= K
       lowerCamelCase       :				Union[str, Any]      			= [0] * m
       lowerCamelCase       :				Dict      			= 0


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

       # Pushing Data (Input)
       import random

       SCREAMING_SNAKE_CASE__	:				int    =       random.sample(range(0XFF_FF_FF_FF), 100)
       for chunk in message:
              push(chunk)

       # for controlling
       SCREAMING_SNAKE_CASE__	:				Tuple    =       ''

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












# this script builds a small sample spm file tests/fixtures/test_sentencepiece_no_bos.model, with features needed by pegasus

# 1. pip install sentencepiece
#
# 2. wget https://raw.githubusercontent.com/google/sentencepiece/master/data/botchan.txt

# 3. build
import sentencepiece as spm

# pegasus:
# 1. no bos
# 2. eos_id is 1
# 3. unk_id is 2
# build a sample spm file accordingly
spm.SentencePieceTrainer.train(
    '--input=botchan.txt --model_prefix=test_sentencepiece_no_bos --bos_id=-1 --unk_id=2  --eos_id=1  --vocab_size=1000'
)

# 4. now update the fixture
# mv test_sentencepiece_no_bos.model ../../tests/fixtures/






