



import os
import sys
import unittest


lowercase_	       =			os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, '''utils'''))

import get_test_info  # noqa: E402
from get_test_info import (  # noqa: E402
    get_model_to_test_mapping,
    get_model_to_tester_mapping,
    get_test_to_tester_mapping,
)


lowercase_	       =			os.path.join('''tests''', '''models''', '''bert''', '''test_modeling_bert.py''')
lowercase_	       =			os.path.join('''tests''', '''models''', '''blip''', '''test_modeling_blip.py''')






class 						__a (     unittest.TestCase				):



	def 		UpperCamelCase							(						self							:    List[Any])->							Union[str, Any]:
						__lowerCAmelCase	   =get_test_to_tester_mapping(snake_case_)
						__lowerCAmelCase	   =get_test_to_tester_mapping(snake_case_)

						__lowerCAmelCase	   ={"""BertModelTest""": """BertModelTester"""}

						__lowerCAmelCase	   ={
						    """BlipModelTest""": """BlipModelTester""",
						    """BlipTextImageModelTest""": """BlipTextImageModelsModelTester""",
						    """BlipTextModelTest""": """BlipTextModelTester""",
						    """BlipTextRetrievalModelTest""": """BlipTextRetrievalModelTester""",
						    """BlipVQAModelTest""": """BlipVQAModelTester""",
						    """BlipVisionModelTest""": """BlipVisionModelTester""",
						}

						self.assertEqual(get_test_info.to_json(snake_case_)				,	snake_case_)
						self.assertEqual(get_test_info.to_json(snake_case_)				,	snake_case_)



	def 		UpperCamelCase							(						self							:    Dict)->							Tuple:
						__lowerCAmelCase	   =get_model_to_test_mapping(snake_case_)
						__lowerCAmelCase	   =get_model_to_test_mapping(snake_case_)

						__lowerCAmelCase	   ={
						    """BertForMaskedLM""": ["""BertModelTest"""],
						    """BertForMultipleChoice""": ["""BertModelTest"""],
						    """BertForNextSentencePrediction""": ["""BertModelTest"""],
						    """BertForPreTraining""": ["""BertModelTest"""],
						    """BertForQuestionAnswering""": ["""BertModelTest"""],
						    """BertForSequenceClassification""": ["""BertModelTest"""],
						    """BertForTokenClassification""": ["""BertModelTest"""],
						    """BertLMHeadModel""": ["""BertModelTest"""],
						    """BertModel""": ["""BertModelTest"""],
						}

						__lowerCAmelCase	   ={
						    """BlipForConditionalGeneration""": ["""BlipTextImageModelTest"""],
						    """BlipForImageTextRetrieval""": ["""BlipTextRetrievalModelTest"""],
						    """BlipForQuestionAnswering""": ["""BlipVQAModelTest"""],
						    """BlipModel""": ["""BlipModelTest"""],
						    """BlipTextModel""": ["""BlipTextModelTest"""],
						    """BlipVisionModel""": ["""BlipVisionModelTest"""],
						}

						self.assertEqual(get_test_info.to_json(snake_case_)				,	snake_case_)
						self.assertEqual(get_test_info.to_json(snake_case_)				,	snake_case_)



	def 		UpperCamelCase							(						self							:    List[str])->							Union[str, Any]:
						__lowerCAmelCase	   =get_model_to_tester_mapping(snake_case_)
						__lowerCAmelCase	   =get_model_to_tester_mapping(snake_case_)

						__lowerCAmelCase	   ={
						    """BertForMaskedLM""": ["""BertModelTester"""],
						    """BertForMultipleChoice""": ["""BertModelTester"""],
						    """BertForNextSentencePrediction""": ["""BertModelTester"""],
						    """BertForPreTraining""": ["""BertModelTester"""],
						    """BertForQuestionAnswering""": ["""BertModelTester"""],
						    """BertForSequenceClassification""": ["""BertModelTester"""],
						    """BertForTokenClassification""": ["""BertModelTester"""],
						    """BertLMHeadModel""": ["""BertModelTester"""],
						    """BertModel""": ["""BertModelTester"""],
						}

						__lowerCAmelCase	   ={
						    """BlipForConditionalGeneration""": ["""BlipTextImageModelsModelTester"""],
						    """BlipForImageTextRetrieval""": ["""BlipTextRetrievalModelTester"""],
						    """BlipForQuestionAnswering""": ["""BlipVQAModelTester"""],
						    """BlipModel""": ["""BlipModelTester"""],
						    """BlipTextModel""": ["""BlipTextModelTester"""],
						    """BlipVisionModel""": ["""BlipVisionModelTester"""],
						}

						self.assertEqual(get_test_info.to_json(snake_case_)				,	snake_case_)
						self.assertEqual(get_test_info.to_json(snake_case_)				,	snake_case_)









from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame






def 					__lowerCAmelCase		(  __lowerCamelCase	:    str = "laptop"	)  ->						DataFrame:
					__lowerCAmelCase	   =f"""https://www.amazon.in/laptop/s?k={product}"""
					__lowerCAmelCase	   ={
					    """User-Agent""": """Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36
        (KHTML, like Gecko)Chrome/44.0.2403.157 Safari/537.36""",
					    """Accept-Language""": """en-US, en;q=0.5""",
					}
					__lowerCAmelCase	   =BeautifulSoup(requests.get(__lowerCamelCase				,   headers=__lowerCamelCase	).text	)
					# Initialize a Pandas dataframe with the column titles
					__lowerCAmelCase	   =DataFrame(
					    columns=[
					        """Product Title""",
					        """Product Link""",
					        """Current Price of the product""",
					        """Product Rating""",
					        """MRP of the product""",
					        """Discount""",
					    ]	)
					# Loop through each entry and store them in the dataframe
					for item, _ in zip_longest(
					    soup.find_all(
					        """div"""				,   attrs={"""class""": """s-result-item""", """data-component-type""": """s-search-result"""}				,   )				,   soup.find_all("""div"""				,   attrs={"""class""": """a-row a-size-base a-color-base"""}	)				,   ):
										try:
															__lowerCAmelCase	   =item.ha.text
															__lowerCAmelCase	   ="""https://www.amazon.in/""" + item.ha.a["""href"""]
															__lowerCAmelCase	   =item.find("""span"""				,   attrs={"""class""": """a-offscreen"""}	).text
															try:
																				__lowerCAmelCase	   =item.find("""span"""				,   attrs={"""class""": """a-icon-alt"""}	).text
															except AttributeError:
																				__lowerCAmelCase	   ="""Not available"""
															try:
																				__lowerCAmelCase	   =(
																				    """₹"""
																				    + item.find(
																				        """span"""				,   attrs={"""class""": """a-price a-text-price"""}	).text.split("""₹"""	)[1]
																				)
															except AttributeError:
																				__lowerCAmelCase	   =""""""
															try:
																				__lowerCAmelCase	   =float(
																				    (
																				        (
																				            float(product_mrp.strip("""₹"""	).replace(""","""				,   """"""	)	)
																				            - float(product_price.strip("""₹"""	).replace(""","""				,   """"""	)	)
																				        )
																				        / float(product_mrp.strip("""₹"""	).replace(""","""				,   """"""	)	)
																				    )
																				    * 100	)
															except ValueError:
																				__lowerCAmelCase	   =float("""nan"""	)
										except AttributeError:
															pass
										__lowerCAmelCase	   =[
										    product_title,
										    product_link,
										    product_price,
										    product_rating,
										    product_mrp,
										    discount,
										]
					__lowerCAmelCase	   =""" """
					__lowerCAmelCase	   =""" """
					data_frame.index += 1
					return data_frame


if __name__ == "__main__":
				lowercase_	       =			'''headphones'''
				get_amazon_product_data(product).to_csv(F"Amazon Product Data for {product}.csv")




