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import gradio as gr |
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import wikipedia |
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import requests |
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from bs4 import BeautifulSoup |
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import pyjokes |
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def essay_query(payload): |
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API_URL = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn" |
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data = json.dumps(payload) |
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response = requests.request("POST", API_URL, headers=headers, data=data) |
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return json.loads(response.content.decode("utf-8")) |
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def essay(name): |
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result_count = 2 |
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f_result = "" |
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result = {"",""} |
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text ="" |
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url = "https://www.google.com/search?q="+name |
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r = requests.get(url) |
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soup = BeautifulSoup(r.text,"html.parser") |
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heading_object=soup.find_all('div') |
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for info in heading_object: |
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if '<div class="BNeawe s3v9rd AP7Wnd"><div><div><div class="BNeawe s3v9rd AP7Wnd">' in str(info): |
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if '›' not in str(info.text) : |
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result.add(info.text) |
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n=0 |
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for i in result: |
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if n!=0: |
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i = i.split("·",1) |
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try: |
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i = i[1] |
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except: |
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i = i[0] |
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i=i.split("Duration") |
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i = i[0] |
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text = text +str(n)+"\t"+i+"\n\n" |
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n=n+1 |
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if result_count == 1: |
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temp = "" |
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else: |
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for r in text.split("\n\n")[0:-1]: |
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if "..." in r: |
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r = r.split("...") |
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w = essay_query(r[0].replace("\xa0","")) |
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f_result = f_result + (w[0]['summary_text']) |
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else: |
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w = essay_query(r[:-1]) |
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f_result = f_result +(w[0]['summary_text']) |
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return f_result |
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def code(name): |
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name = name.split('learn')[-1] |
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name = name.split('start')[-1] |
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name = name.split()[0] |
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url = "https://www.w3schools.com/"+name+"/"+name+"_syntax.asp" |
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r = requests.get(url) |
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soup = BeautifulSoup(r.text,"html.parser") |
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heading_object=soup.find_all('div') |
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result = "" |
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for info in heading_object: |
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info1 = str(info) |
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if '</script>' not in info1 and '<div class="w3-col l10 m12" id="main">' in info1: |
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text = str(info.text).split('Next ❯')[1].split("❮ Previous")[0].split("\n\n\n") |
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for r in text: |
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if "Test Yourself With Exercises" in r or "Submit Answer »" in r or "On this page" in r: |
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continue |
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else: |
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result = result + r+"\n\n" |
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return result |
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def joke(): |
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My_joke = pyjokes.get_joke(language="en", category="neutral") |
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return My_joke |
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def wiki(name): |
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text = name |
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text = text.split("the")[-1] |
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text = text.split("is a")[-1] |
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text = text.split("by")[-1] |
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out = "try this key words :\n"+str(wikipedia.search(text, results=10))+"\n\n" |
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for i in wikipedia.search(text, results=3): |
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try: |
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result = wikipedia.summary(i) |
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if " " in result.lower(): |
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out = out + result+"\n" |
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except: |
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continue |
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return out |
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import openai |
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openai.api_key = "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" |
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def aitext(word): |
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response = openai.Completion.create( |
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model="text-davinci-003", |
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prompt=word, |
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temperature=0.9, |
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max_tokens=200, |
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top_p=1, |
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frequency_penalty=0, |
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presence_penalty=0.6, |
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stop=[" Human:", " AI:"] |
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) |
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return response.choices[0].text |
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import json |
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headers = {"Authorization": f"Bearer {'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'}"} |
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def sumy(payload): |
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API_URL = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn" |
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data = json.dumps(payload) |
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response = requests.request("POST", API_URL, headers=headers, data=data) |
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return json.loads(response.content.decode("utf-8")) |
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def query(payload): |
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API_URL = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn" |
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data = json.dumps(payload) |
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response = requests.request("POST", API_URL, headers=headers, data=data) |
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return json.loads(response.content.decode("utf-8")) |
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def google(name): |
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if "give" in name or "reason" in name or "result" in name or "step" in name: |
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result_count = 2 |
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print(name) |
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else: |
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result_count = 1 |
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f_result = "" |
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result = {"",""} |
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text ="" |
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url = "https://www.google.com/search?q="+name |
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r = requests.get(url) |
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soup = BeautifulSoup(r.text,"html.parser") |
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heading_object=soup.find_all('div') |
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for info in heading_object: |
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if '<div class="BNeawe s3v9rd AP7Wnd"><div><div><div class="BNeawe s3v9rd AP7Wnd">' in str(info): |
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if '›' not in str(info.text) : |
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result.add(info.text) |
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n=0 |
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for i in result: |
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if n!=0: |
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i = i.split("·",1) |
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try: |
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i = i[1] |
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except: |
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i = i[0] |
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i=i.split("Duration") |
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i = i[0] |
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text = text +str(n)+"\t"+i+"\n\n" |
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n=n+1 |
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if result_count == 1: |
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temp = "" |
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for r in text.split("\n\n"): |
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temp = temp+r.split("...")[0] |
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f_result = sumy({"inputs":temp,"parameters": {"do_sample": False,"max_length":300}}) |
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return f_result[0]['summary_text'] |
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else: |
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n=1 |
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for r in text.split("\n\n")[2:-2]: |
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if len(r)>10: |
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if "..." in r: |
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r = r.split("...") |
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w = query(r[0].replace("\xa0","")) |
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f_result = f_result + str(n)+"\t"+(w[0]['summary_text'])+"\n\n"+r"\\" |
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else: |
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w = query(r[:-1]) |
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f_result = f_result + str(n)+"\t"+(w[0]['summary_text'])+"\n\n"+r"\\" |
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n=n+1 |
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return f_result |
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from PyDictionary import PyDictionary |
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def greet(name1): |
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name = name1.lower() |
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if "who are you" in name or "what is you" in name or "your name" in name or"who r u" in name: |
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return "Im Ai Based Chatbot Created by ssebowa.org" |
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if "who developed you" in name or "what is you" in name or "who mad you" in name or "who made you" in name: |
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return "ssebowa.org" |
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if "tell me a joke" in name or "the joke" in name: |
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return joke() |
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if "love you" in name or "i love" in name: |
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return "me too" |
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if "marry me" in name or "marry" in name: |
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return "im not intrested" |
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if "your age" in name or "what is your age" in name: |
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return "Im not a human so i don't have age" |
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if "thank u" in name or "thanks" in name or "thank you" in name: |
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return "ok welcome ....!" |
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if "write the essay" in name or "write essay" in name: |
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name = name.split("about")[-1] |
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return essay(name) |
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if "how to learn" in name or "steps for learning" in name or "step for learning" in name or "steps for" in name or "step for" in name: |
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try: |
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cresult = code(name) |
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return google(name)+"\n\n"+cresult |
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except: |
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return google(name) |
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else: |
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return google(name)+"" |
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iface = gr.Interface(fn=greet, inputs="text", outputs="text") |
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iface.launch() |
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