
'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCAmelCase					:    Any           = {
    'configuration_lxmert': ['LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LxmertConfig'],
    'tokenization_lxmert': ['LxmertTokenizer'],
}

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase					:    str           = ['LxmertTokenizerFast']

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase					:    List[str]           = [
						    'LxmertEncoder',
						    'LxmertForPreTraining',
						    'LxmertForQuestionAnswering',
						    'LxmertModel',
						    'LxmertPreTrainedModel',
						    'LxmertVisualFeatureEncoder',
						    'LxmertXLayer',
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase					:    str           = [
						    'TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'TFLxmertForPreTraining',
						    'TFLxmertMainLayer',
						    'TFLxmertModel',
						    'TFLxmertPreTrainedModel',
						    'TFLxmertVisualFeatureEncoder',
						]


if TYPE_CHECKING:
						from .configuration_lxmert import LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP, LxmertConfig
						from .tokenization_lxmert import LxmertTokenizer

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_lxmert_fast import LxmertTokenizerFast

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_lxmert import (
												    LxmertEncoder,
												    LxmertForPreTraining,
												    LxmertForQuestionAnswering,
												    LxmertModel,
												    LxmertPreTrainedModel,
												    LxmertVisualFeatureEncoder,
												    LxmertXLayer,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_lxmert import (
												    TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TFLxmertForPreTraining,
												    TFLxmertMainLayer,
												    TFLxmertModel,
												    TFLxmertPreTrainedModel,
												    TFLxmertVisualFeatureEncoder,
												)

else:
						import sys

						lowerCAmelCase					:    int           = _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






'''simple docstring'''
import sys
import webbrowser

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

if __name__ == "__main__":
						print('Googling.....')
						lowerCAmelCase					:    List[Any]           = 'https://www.google.com/search?q=' + ' '.join(sys.argv[1:])
						lowerCAmelCase					:    List[Any]           = requests.get(url, headers={'UserAgent': UserAgent().random})
						# res.raise_for_status()
						with open('project1a.html', 'wb') as out_file:  # only for knowing the class
												for data in res.iter_content(1_00_00):
																		out_file.write(data)
						lowerCAmelCase					:    Tuple           = BeautifulSoup(res.text, 'html.parser')
						lowerCAmelCase					:    List[Any]           = list(soup.select('.eZt8xd'))[:5]

						print(len(links))
						for link in links:
												if link.text == "Maps":
																		webbrowser.open(link.get('href'))
												else:
																		webbrowser.open(f"""https://google.com{link.get('href')}""")




