import unittest

from transformers import DonutProcessor


__lowerCamelCase    :				Dict							     =	'''naver-clova-ix/donut-base'''







class __snake_case       (		unittest.TestCase	):




   def 			__a		(					self    :       str   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   DonutProcessor.from_pretrained(_lowercase   )




   def 			__a		(					self    :       str   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   {
         """name""": """John Doe""",
         """age""": """99""",
         """city""": """Atlanta""",
         """state""": """GA""",
         """zip""": """30301""",
         """phone""": """123-4567""",
         """nicknames""": [{"""nickname""": """Johnny"""}, {"""nickname""": """JD"""}],
     }

     SCREAMING_SNAKE_CASE__    							=   (
         """<s_name>John Doe</s_name><s_age>99</s_age><s_city>Atlanta</s_city>"""
         """<s_state>GA</s_state><s_zip>30301</s_zip><s_phone>123-4567</s_phone>"""
         """<s_nicknames><s_nickname>Johnny</s_nickname>"""
         """<sep/><s_nickname>JD</s_nickname></s_nicknames>"""
     )
     SCREAMING_SNAKE_CASE__    							=   self.processor.tokenajson(_lowercase   )

     self.assertDictEqual(_lowercase ,			_lowercase   )

# 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    :				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)
