


import inspect
import os
import unittest
from dataclasses import dataclass

import torch

from accelerate import Accelerator, DistributedDataParallelKwargs, GradScalerKwargs
from accelerate.state import AcceleratorState
from accelerate.test_utils import execute_subprocess_async, require_cuda, require_multi_gpu
from accelerate.utils import KwargsHandler



@dataclass
class 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






					A__      =			0
					A__      =			False
					A__      =			3.0






class 							A   (	unittest.TestCase							):
					'''simple docstring'''






					def   lowerCamelCase__					(self   :						Optional[int]		)						->       Union[str, Any]:




							"""simple docstring"""


							self.assertDictEqual(MockClass().to_kwargs()				, {}		)
							self.assertDictEqual(MockClass(a=2		).to_kwargs()				, {"""a""": 2}		)
							self.assertDictEqual(MockClass(a=2				, b=_A		).to_kwargs()				, {"""a""": 2, """b""": True}		)
							self.assertDictEqual(MockClass(a=2				, c=2.25		).to_kwargs()				, {"""a""": 2, """c""": 2.25}		)

					@require_cuda
					def   lowerCamelCase__					(self   :						int		)						->       int:




							"""simple docstring"""


							lowercase__					      =		GradScalerKwargs(init_scale=1024				, growth_factor=2		)
							AcceleratorState._reset_state()
							lowercase__					      =		Accelerator(mixed_precision="""fp16"""				, kwargs_handlers=[scaler_handler]		)
							print(accelerator.use_fpaa		)
							lowercase__					      =		accelerator.scaler

							# Check the kwargs have been applied
							self.assertEqual(scaler._init_scale				, 1024.0		)
							self.assertEqual(scaler._growth_factor				, 2.0		)

							# Check the other values are at the default
							self.assertEqual(scaler._backoff_factor				, 0.5		)
							self.assertEqual(scaler._growth_interval				, 2000		)
							self.assertEqual(scaler._enabled				, _A		)


					@require_multi_gpu
					def   lowerCamelCase__					(self   :						Union[str, Any]		)						->       Any:




							"""simple docstring"""


							lowercase__					      =		['torchrun', f'''--nproc_per_node={torch.cuda.device_count()}''', inspect.getfile(self.__class__		)]
							execute_subprocess_async(_A				, env=os.environ.copy()		)


if __name__ == "__main__":
	A	:		Any    =       DistributedDataParallelKwargs(bucket_cap_mb=1_5, find_unused_parameters=True)
	A	:		Any    =       Accelerator(kwargs_handlers=[ddp_scaler])
	A	:		List[str]    =       torch.nn.Linear(1_0_0, 2_0_0)
	A	:		int    =       accelerator.prepare(model)

	# Check the values changed in kwargs
	A	:		int    =       ""
	A	:		Tuple    =       model.bucket_bytes_cap // (1_0_2_4 * 1_0_2_4)
	if observed_bucket_cap_map != 1_5:
		error_msg += F"Kwargs badly passed, should have `15` but found {observed_bucket_cap_map}.\n"
	if model.find_unused_parameters is not True:
		error_msg += F"Kwargs badly passed, should have `True` but found {model.find_unused_parameters}.\n"

	# Check the values of the defaults
	if model.dim != 0:
		error_msg += F"Default value not respected, should have `0` but found {model.dim}.\n"
	if model.broadcast_buffers is not True:
		error_msg += F"Default value not respected, should have `True` but found {model.broadcast_buffers}.\n"
	if model.gradient_as_bucket_view is not False:
		error_msg += F"Default value not respected, should have `False` but found {model.gradient_as_bucket_view}.\n"

	# Raise error at the end to make sure we don't stop at the first failure.
	if len(error_msg) > 0:
		raise ValueError(error_msg)





from __future__ import annotations

from collections import deque



class 							A   :
					'''simple docstring'''






					def __init__(self   :						Any				, _UpperCAmelCase   :						list[str]		)						->       Optional[int]:




							"""simple docstring"""


							lowercase__					      =		[]
							self.adlist.append(
							    {"""value""": """""", """next_states""": [], """fail_state""": 0, """output""": []}		)

							for keyword in keywords:
									self.add_keyword(_UpperCAmelCase		)
							self.set_fail_transitions()

					def   lowerCamelCase__					(self   :						List[str]				, _UpperCAmelCase   :						int				, _UpperCAmelCase   :						str		)						->       int | None:




							"""simple docstring"""


							for state in self.adlist[current_state]["next_states"]:
									if char == self.adlist[state]["value"]:
											return state
							return None

					def   lowerCamelCase__					(self   :						List[Any]				, _UpperCAmelCase   :						str		)						->       None:




							"""simple docstring"""


							lowercase__					      =		0
							for character in keyword:
									lowercase__					      =		self.find_next_state(_UpperCAmelCase				, _UpperCAmelCase		)
									if next_state is None:
											self.adlist.append(
											    {
											        """value""": character,
											        """next_states""": [],
											        """fail_state""": 0,
											        """output""": [],
											    }		)
											self.adlist[current_state]["next_states"].append(len(self.adlist		) - 1		)
											lowercase__					      =		len(self.adlist		) - 1
									else:
											lowercase__					      =		next_state
							self.adlist[current_state]["output"].append(_UpperCAmelCase		)

					def   lowerCamelCase__					(self   :						Any		)						->       None:




							"""simple docstring"""


							lowercase__					      =		deque()
							for node in self.adlist[0]["next_states"]:
									q.append(_UpperCAmelCase		)
									lowercase__					      =		0
							while q:
									lowercase__					      =		q.popleft()
									for child in self.adlist[r]["next_states"]:
											q.append(_UpperCAmelCase		)
											lowercase__					      =		self.adlist[r]["""fail_state"""]
											while (
											    self.find_next_state(_UpperCAmelCase				, self.adlist[child]["""value"""]		) is None
											    and state != 0
											):
													lowercase__					      =		self.adlist[state]["""fail_state"""]
											lowercase__					      =		self.find_next_state(
											    _UpperCAmelCase				, self.adlist[child]["""value"""]		)
											if self.adlist[child]["fail_state"] is None:
													lowercase__					      =		0
											lowercase__					      =		(
											    self.adlist[child]["""output"""]
											    + self.adlist[self.adlist[child]["""fail_state"""]]["""output"""]
											)


					def   lowerCamelCase__					(self   :						List[str]				, _UpperCAmelCase   :						str		)						->       dict[str, list[int]]:




							"""simple docstring"""


							lowercase__					      =		{}  # returns a dict with keywords and list of its occurrences
							lowercase__					      =		0
							for i in range(len(_UpperCAmelCase		)		):
									while (
									    self.find_next_state(_UpperCAmelCase				, string[i]		) is None
									    and current_state != 0
									):
											lowercase__					      =		self.adlist[current_state]["""fail_state"""]
									lowercase__					      =		self.find_next_state(_UpperCAmelCase				, string[i]		)
									if next_state is None:
											lowercase__					      =		0
									else:
											lowercase__					      =		next_state
											for key in self.adlist[current_state]["output"]:
													if key not in result:
															lowercase__					      =		[]
													result[key].append(i - len(_UpperCAmelCase		) + 1		)
							return result


if __name__ == "__main__":
	import doctest

	doctest.testmod()

