



'''simple docstring'''





# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# 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.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


SCREAMING_SNAKE_CASE__      					=     {
    "configuration_vivit": ["VIVIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "VivitConfig"],
}
try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE__      					=     ["VivitImageProcessor"]


try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE__      					=     [
     "VIVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
     "VivitModel",
     "VivitPreTrainedModel",
     "VivitForVideoClassification",
 ]


if TYPE_CHECKING:
 from .configuration_vivit import VIVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, VivitConfig

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .image_processing_vivit import VivitImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_vivit import (
      VIVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
      VivitForVideoClassification,
      VivitModel,
      VivitPreTrainedModel,
  )


else:
 import sys

 SCREAMING_SNAKE_CASE__      					=     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)









'''simple docstring'''





def        lowerCamelCase  (				_snake_case  :						int = 4_000_000       ):





    '''simple docstring'''


    lowercase__		       =						[0, 1]
    lowercase__		       =						0
    while fib[i] <= n:
        fib.append(fib[i] + fib[i + 1]       )
        if fib[i + 2] > n:
            break
        i += 1
    lowercase__		       =						0
    for j in range(len(_snake_case       ) - 1       ):
        if fib[j] % 2 == 0:
            total += fib[j]

    return total


if __name__ == "__main__":
 print(f'''{solution() = }''')




