





# 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


__lowerCamelCase       :     str   =     """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)







class 					A__   :





      def __init__( self       ,							A_   ):
       '''simple docstring'''




       UpperCamelCase	:					Union[str, Any]       	=   set_counts
       UpperCamelCase	:					int       	=   max(A_   )
       UpperCamelCase	:					Optional[Any]       	=   len(A_   )
       UpperCamelCase	:					Union[str, Any]       	=   [1] * num_sets
       UpperCamelCase	:					Union[str, Any]       	=   list(range(A_   )   )





      def        __UpperCamelCase( self       ,							A_       ,							A_   ):
       '''simple docstring'''




       UpperCamelCase	:					Any       	=   self.get_parent(A_   )
       UpperCamelCase	:					Optional[int]       	=   self.get_parent(A_   )

       if src_parent == dst_parent:
        return False

       if self.ranks[dst_parent] >= self.ranks[src_parent]:
        self.set_counts[dst_parent] += self.set_counts[src_parent]
        UpperCamelCase	:					int       	=   0
        UpperCamelCase	:					Dict       	=   dst_parent
        if self.ranks[dst_parent] == self.ranks[src_parent]:
         self.ranks[dst_parent] += 1
        UpperCamelCase	:					Optional[int]       	=   self.set_counts[dst_parent]
       else:
        self.set_counts[src_parent] += self.set_counts[dst_parent]
        UpperCamelCase	:					Any       	=   0
        UpperCamelCase	:					Optional[int]       	=   src_parent
        UpperCamelCase	:					int       	=   self.set_counts[src_parent]

       UpperCamelCase	:					Any       	=   max(self.max_set       ,							A_   )
       return True





      def        __UpperCamelCase( self       ,							A_   ):
       '''simple docstring'''




       if self.parents[disj_set] == disj_set:
        return disj_set
       UpperCamelCase	:					Optional[int]       	=   self.get_parent(self.parents[disj_set]   )
       return self.parents[disj_set]
