




"""simple docstring"""







import baseaa
import io
import json
import os
from copy import deepcopy

from ..optimizer import AcceleratedOptimizer
from ..scheduler import AcceleratedScheduler




class       lowerCAmelCase__       :


				"""simple docstring"""





				def __init__(     self					:	Optional[Any]    ,   lowercase__					:	int						):
						if isinstance(lowercase__    ,   lowercase__						):
								# Don't modify user's data should they want to reuse it (e.g. in tests), because once we
								# modified it, it will not be accepted here again, since `auto` values would have been overridden
								__lowercase				:		str												=				deepcopy(lowercase__						)
						elif os.path.exists(lowercase__						):
								with io.open(lowercase__    ,   "r"    ,   encoding="utf-8"						) as f:
										__lowercase				:		Optional[Any]												=				json.load(lowercase__						)
						else:
								try:
										__lowercase				:		Dict												=				baseaa.urlsafe_baadecode(lowercase__						).decode("utf-8"						)
										__lowercase				:		Optional[int]												=				json.loads(lowercase__						)
								except (UnicodeDecodeError, AttributeError, ValueError):
										raise ValueError(
										    f'Expected a string path to an existing deepspeed config, or a dictionary, or a base64 encoded string. Received: {config_file_or_dict}'						)

						__lowercase				:		List[str]												=				config

						self.set_stage_and_offload()



				def       snake_case    (     self					:	Tuple						):
						# zero stage - this is done as early as possible, before model is created, to allow
						# ``is_deepspeed_zero3_enabled`` query and getting to the early deepspeed config object
						# during ``zero.Init()`` which needs to know the dtype, and some other hparams.
						__lowercase				:		List[Any]												=				self.get_value("zero_optimization.stage"    ,   -1						)

						# offload
						__lowercase				:		str												=				False
						if self.is_zeroa() or self.is_zeroa():
								__lowercase				:		Dict												=				set(["cpu", "nvme"]						)
								__lowercase				:		Dict												=				set(
								    [
								        self.get_value("zero_optimization.offload_optimizer.device"						),
								        self.get_value("zero_optimization.offload_param.device"						),
								    ]						)
								if len(offload_devices & offload_devices_valid						) > 0:
										__lowercase				:		Any												=				True



				def       snake_case    (     self					:	Dict    ,   lowercase__					:	Union[str, Any]						):
						__lowercase				:		Tuple												=				self.config

						# find the config node of interest if it exists
						__lowercase				:		Optional[int]												=				ds_key_long.split("."						)
						__lowercase				:		Optional[int]												=				nodes.pop()
						for node in nodes:
								__lowercase				:		Optional[int]												=				config.get(lowercase__						)
								if config is None:
										return None, ds_key

						return config, ds_key



				def       snake_case    (     self					:	str    ,   lowercase__					:	Dict    ,   lowercase__					:	Any=None						):
						__lowercase						,__lowercase				:		Dict												=				self.find_config_node(lowercase__						)
						if config is None:
								return default
						return config.get(lowercase__    ,   lowercase__						)



				def       snake_case    (     self					:	List[str]    ,   lowercase__					:	Union[str, Any]    ,   lowercase__					:	str=False						):
						__lowercase				:		Optional[Any]												=				self.config

						# find the config node of interest if it exists
						__lowercase				:		List[Any]												=				ds_key_long.split("."						)
						for node in nodes:
								__lowercase				:		Any												=				config
								__lowercase				:		List[Any]												=				config.get(lowercase__						)
								if config is None:
										if must_exist:
												raise ValueError(f'Can\'t find {ds_key_long} entry in the config: {self.config}'						)
										else:
												return

        # if found remove it
						if parent_config is not None:
								parent_config.pop(lowercase__						)



				def       snake_case    (     self					:	Optional[int]    ,   lowercase__					:	Dict						):
						__lowercase				:		List[Any]												=				self.get_value(lowercase__						)
						return False if value is None else bool(lowercase__						)



				def       snake_case    (     self					:	List[str]    ,   lowercase__					:	Tuple						):
						__lowercase				:		str												=				self.get_value(lowercase__						)
						return False if value is None else not bool(lowercase__						)



				def       snake_case    (     self					:	List[str]						):
						return self._stage == 2



				def       snake_case    (     self					:	Dict						):
						return self._stage == 3



				def       snake_case    (     self					:	int						):
						return self._offload





class       lowerCAmelCase__       :


				"""simple docstring"""





				def __init__(     self					:	Any    ,   lowercase__					:	Optional[Any]						):
						__lowercase				:		List[Any]												=				engine



				def       snake_case    (     self					:	Optional[Any]    ,   lowercase__					:	str    ,   **lowercase__					:	Any						):
						# runs backpropagation and handles mixed precision
						self.engine.backward(lowercase__    ,   **lowercase__						)

						# Deepspeed's `engine.step` performs the following operations:
						# - gradient accumulation check
						# - gradient clipping
						# - optimizer step
						# - zero grad
						# - checking overflow
						# - lr_scheduler step (only if engine.lr_scheduler is not None)
						self.engine.step()
						# and this plugin overrides the above calls with no-ops when Accelerate runs under
						# Deepspeed, but allows normal functionality for non-Deepspeed cases thus enabling a simple
						# training loop that works transparently under many training regimes.





class       lowerCAmelCase__       (			lowerCAmelCase_    ):


				"""simple docstring"""





				def __init__(     self					:	Union[str, Any]    ,   lowercase__					:	List[Any]						):
						super().__init__(lowercase__    ,   device_placement=lowercase__    ,   scaler=lowercase__						)
						__lowercase				:		List[Any]												=				hasattr(self.optimizer    ,   "overflow"						)



				def       snake_case    (     self					:	int    ,   lowercase__					:	List[str]=None						):
						pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed



				def       snake_case    (     self					:	Union[str, Any]						):
						pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed



				@property
				def       snake_case    (     self					:	int						):
						if self.__has_overflow__:
								return self.optimizer.overflow
						return False





class       lowerCAmelCase__       (			lowerCAmelCase_    ):


				"""simple docstring"""





				def __init__(     self					:	List[Any]    ,   lowercase__					:	List[str]    ,   lowercase__					:	Optional[Any]						):
						super().__init__(lowercase__    ,   lowercase__						)



				def       snake_case    (     self					:	str						):
						pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed





class       lowerCAmelCase__       :


				"""simple docstring"""





				def __init__(     self					:	Dict    ,   lowercase__					:	Dict    ,   lowercase__					:	List[str]=0.0_0_1    ,   lowercase__					:	Tuple=0    ,   **lowercase__					:	List[str]						):
						__lowercase				:		Union[str, Any]												=				params
						__lowercase				:		str												=				lr
						__lowercase				:		Any												=				weight_decay
						__lowercase				:		Dict												=				kwargs





class       lowerCAmelCase__       :


				"""simple docstring"""





				def __init__(     self					:	Union[str, Any]    ,   lowercase__					:	int    ,   lowercase__					:	Dict=None    ,   lowercase__					:	Optional[int]=0    ,   **lowercase__					:	Optional[Any]						):
						__lowercase				:		List[Any]												=				optimizer
						__lowercase				:		Union[str, Any]												=				total_num_steps
						__lowercase				:		List[Any]												=				warmup_num_steps
						__lowercase				:		List[Any]												=				kwargs






"""simple docstring"""







import unittest

from transformers.testing_utils import CaptureStdout
from transformers.tools.python_interpreter import evaluate

def 						snake_case__       (					_lowerCamelCase				)			->Dict:






		"""simple docstring"""


		return x + 2





class       lowerCAmelCase__       (			unittest.TestCase    ):


				"""simple docstring"""





				def       snake_case    (     self					:	List[str]						):
						__lowercase				:		List[Any]												=				"x = 3"
						__lowercase				:		Optional[int]												=				{}
						__lowercase				:		List[Any]												=				evaluate(lowercase__    ,   {}    ,   state=lowercase__						)
						assert result == 3
						self.assertDictEqual(lowercase__    ,   {"x": 3}						)

						__lowercase				:		Optional[int]												=				"x = y"
						__lowercase				:		Union[str, Any]												=				{"y": 5}
						__lowercase				:		str												=				evaluate(lowercase__    ,   {}    ,   state=lowercase__						)
						# evaluate returns the value of the last assignment.
						assert result == 5
						self.assertDictEqual(lowercase__    ,   {"x": 5, "y": 5}						)



				def       snake_case    (     self					:	Dict						):
						__lowercase				:		Dict												=				"y = add_two(x)"
						__lowercase				:		List[Any]												=				{"x": 3}
						__lowercase				:		Optional[int]												=				evaluate(lowercase__    ,   {"add_two": add_two}    ,   state=lowercase__						)
						assert result == 5
						self.assertDictEqual(lowercase__    ,   {"x": 3, "y": 5}						)

						# Won't work without the tool
						with CaptureStdout() as out:
								__lowercase				:		Any												=				evaluate(lowercase__    ,   {}    ,   state=lowercase__						)
						assert result is None
						assert "tried to execute add_two" in out.out



				def       snake_case    (     self					:	Any						):
						__lowercase				:		Optional[Any]												=				"x = 3"
						__lowercase				:		List[Any]												=				{}
						__lowercase				:		Dict												=				evaluate(lowercase__    ,   {}    ,   state=lowercase__						)
						assert result == 3
						self.assertDictEqual(lowercase__    ,   {"x": 3}						)



				def       snake_case    (     self					:	str						):
						__lowercase				:		Optional[int]												=				"test_dict = {'x': x, 'y': add_two(x)}"
						__lowercase				:		List[str]												=				{"x": 3}
						__lowercase				:		Tuple												=				evaluate(lowercase__    ,   {"add_two": add_two}    ,   state=lowercase__						)
						self.assertDictEqual(lowercase__    ,   {"x": 3, "y": 5}						)
						self.assertDictEqual(lowercase__    ,   {"x": 3, "test_dict": {"x": 3, "y": 5}}						)



				def       snake_case    (     self					:	int						):
						__lowercase				:		Tuple												=				"x = 3\ny = 5"
						__lowercase				:		Optional[Any]												=				{}
						__lowercase				:		List[Any]												=				evaluate(lowercase__    ,   {}    ,   state=lowercase__						)
						# evaluate returns the value of the last assignment.
						assert result == 5
						self.assertDictEqual(lowercase__    ,   {"x": 3, "y": 5}						)



				def       snake_case    (     self					:	Any						):
						__lowercase				:		str												=				"text = f'This is x: {x}.'"
						__lowercase				:		Any												=				{"x": 3}
						__lowercase				:		List[Any]												=				evaluate(lowercase__    ,   {}    ,   state=lowercase__						)
						# evaluate returns the value of the last assignment.
						assert result == "This is x: 3."
						self.assertDictEqual(lowercase__    ,   {"x": 3, "text": "This is x: 3."}						)



				def       snake_case    (     self					:	str						):
						__lowercase				:		Optional[Any]												=				"if x <= 3:\n    y = 2\nelse:\n    y = 5"
						__lowercase				:		int												=				{"x": 3}
						__lowercase				:		Optional[int]												=				evaluate(lowercase__    ,   {}    ,   state=lowercase__						)
						# evaluate returns the value of the last assignment.
						assert result == 2
						self.assertDictEqual(lowercase__    ,   {"x": 3, "y": 2}						)

						__lowercase				:		Optional[int]												=				{"x": 8}
						__lowercase				:		Union[str, Any]												=				evaluate(lowercase__    ,   {}    ,   state=lowercase__						)
						# evaluate returns the value of the last assignment.
						assert result == 5
						self.assertDictEqual(lowercase__    ,   {"x": 8, "y": 5}						)



				def       snake_case    (     self					:	Dict						):
						__lowercase				:		Optional[Any]												=				"test_list = [x, add_two(x)]"
						__lowercase				:		str												=				{"x": 3}
						__lowercase				:		Any												=				evaluate(lowercase__    ,   {"add_two": add_two}    ,   state=lowercase__						)
						self.assertListEqual(lowercase__    ,   [3, 5]						)
						self.assertDictEqual(lowercase__    ,   {"x": 3, "test_list": [3, 5]}						)



				def       snake_case    (     self					:	Optional[int]						):
						__lowercase				:		str												=				"y = x"
						__lowercase				:		str												=				{"x": 3}
						__lowercase				:		int												=				evaluate(lowercase__    ,   {}    ,   state=lowercase__						)
						assert result == 3
						self.assertDictEqual(lowercase__    ,   {"x": 3, "y": 3}						)



				def       snake_case    (     self					:	Optional[int]						):
						__lowercase				:		str												=				"test_list = [x, add_two(x)]\ntest_list[1]"
						__lowercase				:		Optional[Any]												=				{"x": 3}
						__lowercase				:		Any												=				evaluate(lowercase__    ,   {"add_two": add_two}    ,   state=lowercase__						)
						assert result == 5
						self.assertDictEqual(lowercase__    ,   {"x": 3, "test_list": [3, 5]}						)

						__lowercase				:		Tuple												=				"test_dict = {'x': x, 'y': add_two(x)}\ntest_dict['y']"
						__lowercase				:		Union[str, Any]												=				{"x": 3}
						__lowercase				:		Tuple												=				evaluate(lowercase__    ,   {"add_two": add_two}    ,   state=lowercase__						)
						assert result == 5
						self.assertDictEqual(lowercase__    ,   {"x": 3, "test_dict": {"x": 3, "y": 5}}						)



				def       snake_case    (     self					:	Dict						):
						__lowercase				:		Dict												=				"x = 0\nfor i in range(3):\n    x = i"
						__lowercase				:		str												=				{}
						__lowercase				:		int												=				evaluate(lowercase__    ,   {"range": range}    ,   state=lowercase__						)
						assert result == 2
						self.assertDictEqual(lowercase__    ,   {"x": 2, "i": 2}						)
