




import math
from enum import Enum
from typing import Optional, Union

from torch.optim import Optimizer
from torch.optim.lr_scheduler import LambdaLR

from .utils import logging


a													=			logging.get_logger(__name__)




class       _A				(		a__     ):
		__a					    =       "linear"
		__a					    =       "cosine"
		__a					    =       "cosine_with_restarts"
		__a					    =       "polynomial"
		__a					    =       "constant"
		__a					    =       "constant_with_warmup"
		__a					    =       "piecewise_constant"




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case = -1       )						->				Optional[int]:
						return LambdaLR(snake_case			,     lambda snake_case       : 1			,     last_epoch=snake_case       )




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case			,     snake_case = -1       )						->				Any:

						def lr_lambda(snake_case       ):
												if current_step < num_warmup_steps:
																		return float(snake_case       ) / float(max(1.0			,     snake_case       )       )
												return 1.0

						return LambdaLR(snake_case			,     snake_case			,     last_epoch=snake_case       )




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case			,     snake_case = -1       )						->				Tuple:
						_UpperCAmelCase      =			{}
						_UpperCAmelCase      =			step_rules.split(""","""       )
						for rule_str in rule_list[:-1]:
												_UpperCAmelCase    ,					_UpperCAmelCase      =			rule_str.split(""":"""       )
												_UpperCAmelCase      =			int(snake_case       )
												_UpperCAmelCase      =			float(snake_case       )
												_UpperCAmelCase      =			value
						_UpperCAmelCase      =			float(rule_list[-1]       )

						def create_rules_function(snake_case			,     snake_case       ):
												def rule_func(snake_case       ) -> float:
																		_UpperCAmelCase      =			sorted(rules_dict.keys()       )
																		for i, sorted_step in enumerate(snake_case       ):
																								if steps < sorted_step:
																														return rules_dict[sorted_steps[i]]
																		return last_lr_multiple

												return rule_func

						_UpperCAmelCase      =			create_rules_function(snake_case			,     snake_case       )

						return LambdaLR(snake_case			,     snake_case			,     last_epoch=snake_case       )




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case			,     snake_case			,     snake_case=-1       )						->				int:

						def lr_lambda(snake_case       ):
												if current_step < num_warmup_steps:
																		return float(snake_case       ) / float(max(1			,     snake_case       )       )
												return max(
												    0.0			,     float(num_training_steps - current_step       ) / float(max(1			,     num_training_steps - num_warmup_steps       )       )       )

						return LambdaLR(snake_case			,     snake_case			,     snake_case       )




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case			,     snake_case			,     snake_case = 0.5			,     snake_case = -1       )						->				Optional[int]:

						def lr_lambda(snake_case       ):
												if current_step < num_warmup_steps:
																		return float(snake_case       ) / float(max(1			,     snake_case       )       )
												_UpperCAmelCase      =			float(current_step - num_warmup_steps       ) / float(max(1			,     num_training_steps - num_warmup_steps       )       )
												return max(0.0			,     0.5 * (1.0 + math.cos(math.pi * float(snake_case       ) * 2.0 * progress       ))       )

						return LambdaLR(snake_case			,     snake_case			,     snake_case       )




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case			,     snake_case			,     snake_case = 1			,     snake_case = -1       )						->				Dict:

						def lr_lambda(snake_case       ):
												if current_step < num_warmup_steps:
																		return float(snake_case       ) / float(max(1			,     snake_case       )       )
												_UpperCAmelCase      =			float(current_step - num_warmup_steps       ) / float(max(1			,     num_training_steps - num_warmup_steps       )       )
												if progress >= 1.0:
																		return 0.0
												return max(0.0			,     0.5 * (1.0 + math.cos(math.pi * ((float(snake_case       ) * progress) % 1.0)       ))       )

						return LambdaLR(snake_case			,     snake_case			,     snake_case       )




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case			,     snake_case			,     snake_case=1E-7			,     snake_case=1.0			,     snake_case=-1       )						->				List[Any]:
						_UpperCAmelCase      =			optimizer.defaults["""lr"""]
						if not (lr_init > lr_end):
												raise ValueError(f"lr_end ({lr_end}) must be be smaller than initial lr ({lr_init})"       )

						def lr_lambda(snake_case       ):
												if current_step < num_warmup_steps:
																		return float(snake_case       ) / float(max(1			,     snake_case       )       )
												elif current_step > num_training_steps:
																		return lr_end / lr_init  # as LambdaLR multiplies by lr_init
												else:
																		_UpperCAmelCase      =			lr_init - lr_end
																		_UpperCAmelCase      =			num_training_steps - num_warmup_steps
																		_UpperCAmelCase      =			1 - (current_step - num_warmup_steps) / decay_steps
																		_UpperCAmelCase      =			lr_range * pct_remaining**power + lr_end
																		return decay / lr_init  # as LambdaLR multiplies by lr_init

						return LambdaLR(snake_case			,     snake_case			,     snake_case       )


a													=			{
    SchedulerType.LINEAR: get_linear_schedule_with_warmup,
    SchedulerType.COSINE: get_cosine_schedule_with_warmup,
    SchedulerType.COSINE_WITH_RESTARTS: get_cosine_with_hard_restarts_schedule_with_warmup,
    SchedulerType.POLYNOMIAL: get_polynomial_decay_schedule_with_warmup,
    SchedulerType.CONSTANT: get_constant_schedule,
    SchedulerType.CONSTANT_WITH_WARMUP: get_constant_schedule_with_warmup,
    SchedulerType.PIECEWISE_CONSTANT: get_piecewise_constant_schedule,
}




def        _SCREAMING_SNAKE_CASE      (		snake_case			,     snake_case			,     snake_case = None			,     snake_case = None			,     snake_case = None			,     snake_case = 1			,     snake_case = 1.0			,     snake_case = -1			,     )						->				Dict:
						_UpperCAmelCase      =			SchedulerType(snake_case       )
						_UpperCAmelCase      =			TYPE_TO_SCHEDULER_FUNCTION[name]
						if name == SchedulerType.CONSTANT:
												return schedule_func(snake_case			,     last_epoch=snake_case       )

						if name == SchedulerType.PIECEWISE_CONSTANT:
												return schedule_func(snake_case			,     step_rules=snake_case			,     last_epoch=snake_case       )

						# All other schedulers require `num_warmup_steps`
						if num_warmup_steps is None:
												raise ValueError(f"{name} requires `num_warmup_steps`, please provide that argument."       )

						if name == SchedulerType.CONSTANT_WITH_WARMUP:
												return schedule_func(snake_case			,     num_warmup_steps=snake_case			,     last_epoch=snake_case       )

						# All other schedulers require `num_training_steps`
						if num_training_steps is None:
												raise ValueError(f"{name} requires `num_training_steps`, please provide that argument."       )

						if name == SchedulerType.COSINE_WITH_RESTARTS:
												return schedule_func(
												    snake_case			,     num_warmup_steps=snake_case			,     num_training_steps=snake_case			,     num_cycles=snake_case			,     last_epoch=snake_case			,     )

						if name == SchedulerType.POLYNOMIAL:
												return schedule_func(
												    snake_case			,     num_warmup_steps=snake_case			,     num_training_steps=snake_case			,     power=snake_case			,     last_epoch=snake_case			,     )

						return schedule_func(
						    snake_case			,     num_warmup_steps=snake_case			,     num_training_steps=snake_case			,     last_epoch=snake_case       )





import os
import string
import sys


a													=			1 << 8

a													=			{
    "tab": ord("\t"),
    "newline": ord("\r"),
    "esc": 27,
    "up": 65 + ARROW_KEY_FLAG,
    "down": 66 + ARROW_KEY_FLAG,
    "right": 67 + ARROW_KEY_FLAG,
    "left": 68 + ARROW_KEY_FLAG,
    "mod_int": 91,
    "undefined": sys.maxsize,
    "interrupt": 3,
    "insert": 50,
    "delete": 51,
    "pg_up": 53,
    "pg_down": 54,
}

a													=			KEYMAP["up"]
a													=			KEYMAP["left"]

if sys.platform == "win32":
				a													=			[]
				a													=			{
				    b"\xe0H": KEYMAP["up"] - ARROW_KEY_FLAG,
				    b"\x00H": KEYMAP["up"] - ARROW_KEY_FLAG,
				    b"\xe0P": KEYMAP["down"] - ARROW_KEY_FLAG,
				    b"\x00P": KEYMAP["down"] - ARROW_KEY_FLAG,
				    b"\xe0M": KEYMAP["right"] - ARROW_KEY_FLAG,
				    b"\x00M": KEYMAP["right"] - ARROW_KEY_FLAG,
				    b"\xe0K": KEYMAP["left"] - ARROW_KEY_FLAG,
				    b"\x00K": KEYMAP["left"] - ARROW_KEY_FLAG,
				}

for i in range(10):
				a													=			ord(str(i))




def        _SCREAMING_SNAKE_CASE      (		)						->				Optional[int]:
						if os.name == "nt":
												import msvcrt

												_UpperCAmelCase      =			"""mbcs"""
												# Flush the keyboard buffer
												while msvcrt.kbhit():
																		msvcrt.getch()
												if len(snake_case       ) == 0:
																		# Read the keystroke
																		_UpperCAmelCase      =			msvcrt.getch()

																		# If it is a prefix char, get second part
																		if ch in (b"\x00", b"\xe0"):
																								_UpperCAmelCase      =			ch + msvcrt.getch()
																								# Translate actual Win chars to bullet char types
																								try:
																														_UpperCAmelCase      =			chr(WIN_KEYMAP[cha]       )
																														WIN_CH_BUFFER.append(chr(KEYMAP["""mod_int"""]       )       )
																														WIN_CH_BUFFER.append(snake_case       )
																														if ord(snake_case       ) in (
																														    KEYMAP["insert"] - 1 << 9,
																														    KEYMAP["delete"] - 1 << 9,
																														    KEYMAP["pg_up"] - 1 << 9,
																														    KEYMAP["pg_down"] - 1 << 9,
																														):
																																				WIN_CH_BUFFER.append(chr(1_2_6       )       )
																														_UpperCAmelCase      =			chr(KEYMAP["""esc"""]       )
																								except KeyError:
																														_UpperCAmelCase      =			cha[1]
																		else:
																								_UpperCAmelCase      =			ch.decode(snake_case       )
												else:
																		_UpperCAmelCase      =			WIN_CH_BUFFER.pop(0       )
						elif os.name == "posix":
												import termios
												import tty

												_UpperCAmelCase      =			sys.stdin.fileno()
												_UpperCAmelCase      =			termios.tcgetattr(snake_case       )
												try:
																		tty.setraw(snake_case       )
																		_UpperCAmelCase      =			sys.stdin.read(1       )
												finally:
																		termios.tcsetattr(snake_case			,     termios.TCSADRAIN			,     snake_case       )
						return ch




def        _SCREAMING_SNAKE_CASE      (		)						->				Dict:
						_UpperCAmelCase      =			get_raw_chars()
						if ord(snake_case       ) in [KEYMAP["interrupt"], KEYMAP["newline"]]:
												return char

						elif ord(snake_case       ) == KEYMAP["esc"]:
												_UpperCAmelCase      =			get_raw_chars()
												if ord(snake_case       ) == KEYMAP["mod_int"]:
																		_UpperCAmelCase      =			get_raw_chars()
																		if ord(snake_case       ) >= KEYMAP["arrow_begin"] - ARROW_KEY_FLAG and ord(snake_case       ) <= KEYMAP["arrow_end"] - ARROW_KEY_FLAG:
																								return chr(ord(snake_case       ) + ARROW_KEY_FLAG       )
																		else:
																								return KEYMAP["undefined"]
												else:
																		return get_raw_chars()

						else:
												if char in string.printable:
																		return char
												else:
																		return KEYMAP["undefined"]