
from typing import TYPE_CHECKING

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


__lowerCAmelCase									={
    "configuration_wav2vec2": ["WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP", "Wav2Vec2Config"],
    "feature_extraction_wav2vec2": ["Wav2Vec2FeatureExtractor"],
    "processing_wav2vec2": ["Wav2Vec2Processor"],
    "tokenization_wav2vec2": ["Wav2Vec2CTCTokenizer", "Wav2Vec2Tokenizer"],
}


try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__lowerCAmelCase									=[
				    "WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "Wav2Vec2ForAudioFrameClassification",
				    "Wav2Vec2ForCTC",
				    "Wav2Vec2ForMaskedLM",
				    "Wav2Vec2ForPreTraining",
				    "Wav2Vec2ForSequenceClassification",
				    "Wav2Vec2ForXVector",
				    "Wav2Vec2Model",
				    "Wav2Vec2PreTrainedModel",
				]

try:
				if not is_tf_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__lowerCAmelCase									=[
				    "TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "TFWav2Vec2ForCTC",
				    "TFWav2Vec2Model",
				    "TFWav2Vec2PreTrainedModel",
				    "TFWav2Vec2ForSequenceClassification",
				]

try:
				if not is_flax_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__lowerCAmelCase									=[
				    "FlaxWav2Vec2ForCTC",
				    "FlaxWav2Vec2ForPreTraining",
				    "FlaxWav2Vec2Model",
				    "FlaxWav2Vec2PreTrainedModel",
				]


if TYPE_CHECKING:
				from .configuration_wavaveca import WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP, WavaVecaConfig
				from .feature_extraction_wavaveca import WavaVecaFeatureExtractor
				from .processing_wavaveca import WavaVecaProcessor
				from .tokenization_wavaveca import WavaVecaCTCTokenizer, WavaVecaTokenizer

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_wavaveca import (
								    WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
								    WavaVecaForAudioFrameClassification,
								    WavaVecaForCTC,
								    WavaVecaForMaskedLM,
								    WavaVecaForPreTraining,
								    WavaVecaForSequenceClassification,
								    WavaVecaForXVector,
								    WavaVecaModel,
								    WavaVecaPreTrainedModel,
								)

				try:
								if not is_tf_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_tf_wavaveca import (
								    TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
								    TFWavaVecaForCTC,
								    TFWavaVecaForSequenceClassification,
								    TFWavaVecaModel,
								    TFWavaVecaPreTrainedModel,
								)

				try:
								if not is_flax_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_tf_wavaveca import (
								    FlaxWavaVecaForCTC,
								    FlaxWavaVecaForPreTraining,
								    FlaxWavaVecaModel,
								    FlaxWavaVecaPreTrainedModel,
								)


else:
				import sys

				__lowerCAmelCase									=_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.....""")
						_lowercase          =						"""https://www.google.com/search?q=""" + """ """.join(sys.argv[1:])
						_lowercase          =						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(10000):
																		out_file.write(data)
						_lowercase          =						BeautifulSoup(res.text, """html.parser""")
						_lowercase          =						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')}""")
