

# 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

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
    is_vision_available,
)


_a	 =     {
    '''configuration_tvlt''': ['''TVLT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''TvltConfig'''],
    '''feature_extraction_tvlt''': ['''TvltFeatureExtractor'''],
    '''processing_tvlt''': ['''TvltProcessor'''],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _a	 =     [
      '''TVLT_PRETRAINED_MODEL_ARCHIVE_LIST''',
      '''TvltModel''',
      '''TvltForPreTraining''',
      '''TvltForAudioVisualClassification''',
      '''TvltPreTrainedModel''',
  ]

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _a	 =     ['''TvltImageProcessor''']


if TYPE_CHECKING:
  from .configuration_tvlt import TVLT_PRETRAINED_CONFIG_ARCHIVE_MAP, TvltConfig
  from .processing_tvlt import TvltProcessor
  from .feature_extraction_tvlt import TvltFeatureExtractor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tvlt import (
        TVLT_PRETRAINED_MODEL_ARCHIVE_LIST,
        TvltForAudioVisualClassification,
        TvltForPreTraining,
        TvltModel,
        TvltPreTrainedModel,
    )

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .image_processing_tvlt import TvltImageProcessor


else:
  import sys

  _a	 =     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)








import requests
from bsa import BeautifulSoup







def _a				( SCREAMING_SNAKE_CASE	:    int					,      SCREAMING_SNAKE_CASE	:    str	)					->					str:

 """simple docstring"""






 __lowerCAmelCase:     Tuple     			=   (
     'https://www.horoscope.com/us/horoscopes/general/'
     f'''horoscope-general-daily-{day}.aspx?sign={zodiac_sign}'''
 )
 __lowerCAmelCase:     Optional[Any]     			=   BeautifulSoup(requests.get(SCREAMING_SNAKE_CASE	).content					,      'html.parser'	)
 return soup.find('div'					,      class_='main-horoscope'	).p.text


if __name__ == "__main__":
  print('''Daily Horoscope. \n''')
  print(
      '''enter your Zodiac sign number:\n''',
      '''1. Aries\n''',
      '''2. Taurus\n''',
      '''3. Gemini\n''',
      '''4. Cancer\n''',
      '''5. Leo\n''',
      '''6. Virgo\n''',
      '''7. Libra\n''',
      '''8. Scorpio\n''',
      '''9. Sagittarius\n''',
      '''10. Capricorn\n''',
      '''11. Aquarius\n''',
      '''12. Pisces\n''',
  )
  _a	 =     int(input('''number> ''').strip())
  print('''choose some day:\n''', '''yesterday\n''', '''today\n''', '''tomorrow\n''')
  _a	 =     input('''enter the day> ''')
  _a	 =     horoscope(zodiac_sign, day)
  print(horoscope_text)





