


'''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__          = '''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)

"""simple docstring"""




import math
from datetime import datetime, timedelta







def 				_UpperCAmelCase		(							lowerCamelCase__  ):





		"""simple docstring"""




		lowerCAmelCase__   = year % 19
		lowerCAmelCase__   = year % 4
		lowerCAmelCase__   = year % 7
		lowerCAmelCase__   = math.floor(year / 100  )
		lowerCAmelCase__   = math.floor((13 + 8 * leap_day_inhibits) / 25  )
		lowerCAmelCase__   = leap_day_inhibits / 4
		lowerCAmelCase__   = (
		    15 - lunar_orbit_correction + leap_day_inhibits - leap_day_reinstall_number
		) % 30
		lowerCAmelCase__   = (4 + leap_day_inhibits - leap_day_reinstall_number) % 7

		# days to be added to March 21
		lowerCAmelCase__   = (19 * metonic_cycle + secular_moon_shift) % 30

		# PHM -> Paschal Full Moon
		lowerCAmelCase__   = (
		    2 * julian_leap_year
		    + 4 * non_leap_year
		    + 6 * days_to_add
		    + century_starting_point
		) % 7

		if days_to_add == 29 and days_from_phm_to_sunday == 6:
				return datetime(lowerCamelCase__      ,	4      ,	19  )
		elif days_to_add == 28 and days_from_phm_to_sunday == 6:
				return datetime(lowerCamelCase__      ,	4      ,	18  )
		else:
				return datetime(lowerCamelCase__      ,	3      ,	22  ) + timedelta(
				    days=int(days_to_add + days_from_phm_to_sunday  )  )


if __name__ == "__main__":
			for year in (19_94, 20_00, 20_10, 20_21, 20_23):
						__lowerCAmelCase     :				List[str]    				=    "will be" if year > datetime.now().year else "was"
						print(F"Easter in {year} {tense} {gauss_easter(year)}")




