



'''simple docstring'''




from __future__ import annotations


def        lowerCAmelCase_     (			_lowerCamelCase:     list[int] ,   _lowerCamelCase:     int      ):
		__SCREAMING_SNAKE_CASE :	list[list[int]]					 =	[]
		__SCREAMING_SNAKE_CASE :	list[int]					 =	[]
		__SCREAMING_SNAKE_CASE :	Dict					 =	0
		__SCREAMING_SNAKE_CASE :	List[str]					 =	sum(_lowerCamelCase      )
		create_state_space_tree(_lowerCamelCase ,   _lowerCamelCase ,   _lowerCamelCase ,   _lowerCamelCase ,   _lowerCamelCase ,   _lowerCamelCase      )
		return result


def        lowerCAmelCase_     (			_lowerCamelCase:     list[int] ,   _lowerCamelCase:     int ,   _lowerCamelCase:     int ,   _lowerCamelCase:     list[int] ,   _lowerCamelCase:     list[list[int]] ,   _lowerCamelCase:     int ,   ):
		if sum(_lowerCamelCase      ) > max_sum or (remaining_nums_sum + sum(_lowerCamelCase      )) < max_sum:
				return
		if sum(_lowerCamelCase      ) == max_sum:
				result.append(_lowerCamelCase      )
				return
		for index in range(_lowerCamelCase ,   len(_lowerCamelCase      )      ):
				create_state_space_tree(
				    _lowerCamelCase ,   _lowerCamelCase ,   index + 1 ,   [*path, nums[index]] ,   _lowerCamelCase ,   remaining_nums_sum - nums[index] ,   )
UpperCamelCase__ :			Optional[int]												=				[3, 34, 4, 12, 5, 2]
UpperCamelCase__ :			Optional[int]												=				9
UpperCamelCase__ :			Optional[Any]												=				generate_sum_of_subsets_soln(nums, max_sum)

print(*result)




'''simple docstring'''




# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# this script dumps information about the environment

import os
import sys

import transformers


UpperCamelCase__ :			Tuple												=				'''3'''

print('''Python version:''', sys.version)
print('''transformers version:''', transformers.__version__)

try:
						import torch

						print('''Torch version:''', torch.__version__)
						print('''Cuda available:''', torch.cuda.is_available())
						print('''Cuda version:''', torch.version.cuda)
						print('''CuDNN version:''', torch.backends.cudnn.version())
						print('''Number of GPUs available:''', torch.cuda.device_count())
						print('''NCCL version:''', torch.cuda.nccl.version())
except ImportError:
						print('''Torch version:''', None)

try:
						import deepspeed

						print('''DeepSpeed version:''', deepspeed.__version__)
except ImportError:
						print('''DeepSpeed version:''', None)

try:
						import tensorflow as tf

						print('''TensorFlow version:''', tf.__version__)
						print('''TF GPUs available:''', bool(tf.config.list_physical_devices('''GPU''')))
						print('''Number of TF GPUs available:''', len(tf.config.list_physical_devices('''GPU''')))
except ImportError:
						print('''TensorFlow version:''', None)