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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Natural Knowledge Processor To Know</title>
<link rel="stylesheet" href="styles.css">
</head>
<body id="BODYONE">
<h1 id="H1ONE">Natural Knowledge Processor</h1>
<div><img id="IMGONE" alt="Forever Code Language Unknown" src="forevercode.jpeg" width="800" height="401"><img id="IMGTWO" alt="Pink Mask Computer 1997", src="HotPink.jpeg" width="800", height="401"></div>
<h3 id="H3ONE">To Know Unknown trajectories in problem solving</h3>
<div><p id="PONE">Natural Knowledge Processing to known unknown trajectories would have to be programmed
with human data sets to answers and questions and using turned in to human readable text all the results
from human data set interviews. Naturally ran through a processor of servers or just basic 2 core gold processor
a data readable in human theory or eye sight would then gain attention to the factors of answering the unknown.
for instance when this is programmed and tested it may not be right all the time. When you ask the question "How did
Humans start creation of earth?" or "How did the galaxy form?" the Natural Knowledge processor would then go through a
computational statistically strengthen model</p>
<p id="PTWO">factor = ["?" ** "%" + "#" + "!!!A" / "knownResponse" + "reachGreyMatter" - "openEyes"
+ "?" / (math.pi / 11.1 ** 4 (unknown=2, forceKnow=-1, enterFactor=111) unknown * forceKnow / enterFactor)]
</p>
<p id="PTHREE">Here is a code you might like to take into your knowledge calculating the trajectory of a number of #InitialVelocity
acceleration of gravity and time of velocity travelling through gravity it goes like
velocity multiplied by time subtract 0.5 multiplied by gravity multiplied by time
to the power of 2! I just learned that mathematical solution well reading a python study book!
</p>
<P id="PFOUR">Does the acceleration change by scale of height in proportionate height from seal level?
does gravity get heavier below sea level, does gravity change with snow or temperatures. I believe everyone has a center of individuality on there gravity in certain situations and places being</P>
<p id="PFIVE">Time is always growing deeper in length why was there a sudden reset in english western world AD and BC BC reset at a certain year and After Death has been 2024 years.</p>
<pre>
<code id="CODETWO">
v0 = 3.1315 #InitialVelocity
g = 9.81 #acceleration of gravity
t = 0.6 #Time
y =v0*t - 0.5*g*t**2
print("Here is your result to enjoy a statistical growth: ", y)
</code>
</pre>
</div>
<img id="IMGTWO" alt="Radio Cyber Man Hole", src="CyberManHole.jpeg", width="1800", height="480">
<p id="PTHREE">Here is a code to learn from its the first code on the page a fetch on a requested https urls
This code imports modules at the top and the programs systematic output gives a file download to the same folder as file is ran from!
</p>
<pre>
<code id="CODEONE">
import asyncio
import aiohttp
import pandas as pd
import logging
import time
async def fetch_page(session, url):
async with session.get(url) as response:
return await response.text()
async def parse_page(html): 1
# Parse HTML using BeautifulSoup or other libraries
# Extract relevant information, e.g., links, text, metadata
# ...
async def main():
urls = ["https://example.com", "https://example.org"]
async with aiohttp.ClientSession() as session:
tasks = []
for url in urls:
tasks.append(asyncio.create_task(fetch_page(session, url)))
htmls = await asyncio.gather(*tasks)
for html in htmls:
parsed_data = await parse_page(html)
# Log parsed data, store in a DataFrame, or further process
logging.info(f"Parsed data: {parsed_data}")
df = pd.DataFrame(parsed_data) # Create a Pandas DataFrame
# Log binary data (simplified example)
binary_data = bytearray(html, 'utf-8')
logging.info(f"Binary data: {binary_data}")
with open('binary_log.txt', 'a') as f:
f.write(f"{url}\n{binary_data}\n")
# Log to CSV
df.to_csv('parsed_data.csv', mode='a', index=False, header=False)
if __name__ == '__main__':
logging.basicConfig(filename='app.log', level=logging.INFO, format='%(asctime)s %(levelname)s %(message)s')
start_time = time.time()
asyncio.run(main())
end_time = time.time()
print(f"Execution time: {end_time - start_time} seconds")
</code>
</pre>
</body>
</html>