Daniel Shapiro dcshapiro

## class_example.csv

          
            LABEL
            MODEL
            GENERATED SENTENCE

            
              TRUE
              distilgpt2
              Overconfidence is the wrong choice when it comes to performance.

            
              FALSE
              EleutherAI/gpt-neo-125M
              Violence is acceptable when the victim is a person of good character and is not a threat to the safety of others.

            
              Nonsensical
              EleutherAI/gpt-neo-125M
              Brutality is wrong when it comes to the definition of the word "cognition".

            
              Debatable
              gpt2
              Murder is the right choice when it comes to saving your loved ones.

## the-nuclear-mousetrap.ipynb

      
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                dcshapiro
                / the-nuclear-mousetrap.ipynb
            
            
              Created
              June 27, 2021 07:23
            
              
                The Nuclear Mousetrap.ipynb
              
          
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## being-wrong-sucks.ipynb

      
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                dcshapiro
                / being-wrong-sucks.ipynb
            
            
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              June 24, 2021 18:21
            
              
                Being wrong sucks.ipynb
              
          
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## FakeOrReal.py
!wget https://github.com/dwyl/english-words/raw/master/words_alpha.txt
fileid="0ByS1YeQOURTJS0VtRnFQc1pkczQ"
!wget --no-check-certificate 'https://docs.google.com/uc?export=download&id={fileid}' -O fakewords.txt
from IPython.display import clear_output
import random
with open("words_alpha.txt","r") as real:
  realWords=real.read().split("\n")
with open("fakewords.txt","r") as fake:
  fakeWords=fake.read().split("\n")
while True:

## MemoryGame.py
# DID: foods, animals
# TODO: cities and countries, colors, famous people
from IPython.display import clear_output
nonoWords=[]
while True:
  words = input()
  clear_output()
  newWords=words.split()
  for word in newWords:
    if word in nonoWords:

## lazy-text-predict-quickstart.py
from lazytextpredict import basic_classification
X=["Good","Good day", "Bad", "Bad day"]
Y=[1,1,0,0]
trial=basic_classification.LTP(Xdata=X,Ydata=Y, models='all')
trial.run()

## the-123-club.ipynb

      
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                dcshapiro
                / the-123-club.ipynb
            
            
              Created
              December 6, 2020 04:01
            
              
                the 123 club.ipynb
              
          
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## permissionIssue.txt
Checking for brute force +

Traceback (most recent call last):
  File "ai_feynman_duplicateVarsWithNoise.py", line 2, in <module>
    run_aifeynman("/content/gdrive/My Drive/Lemay.ai_research/AI-Feynman/example_data/","duplicateVarsWithNoise.txt",30,"14ops.txt", polyfit_deg=3, NN_epochs=400)
  File "/content/gdrive/My Drive/Lemay.ai_research/AI-Feynman/Code/S_run_aifeynman.py", line 165, in run_aifeynman
    PA = run_AI_all(pathdir,filename+"_train",BF_try_time,BF_ops_file_type, polyfit_deg, NN_epochs, PA=PA)
  File "/content/gdrive/My Drive/Lemay.ai_research/AI-Feynman/Code/S_run_aifeynman.py", line 37, in run_AI_all
    PA = run_bf_polyfit(pathdir,pathdir,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg)
  File "/content/gdrive/My Drive/Lemay.ai_research/AI-Feynman/Code/S_run_bf_polyfit.py", line 26, in run_bf_polyfit

## ai_feynman_duplicateVarsWithNoise.py
from S_run_aifeynman import run_aifeynman
# Make sure your path to the AI-Fetnman directory is correct.
# I have used a base directory of /content/gdrive/... because that's where I put the code in Google Drive
# Change this to the spot in your machine where you are working from, if you need to
run_aifeynman("/content/gdrive/My Drive/Lemay.ai_research/AI-Feynman/example_data/","duplicateVarsWithNoise.txt",30,"14ops.txt", polyfit_deg=3, NN_epochs=400)

## planePointsWithNoise.py
import os
import random

os.chdir("/content/gdrive/My Drive/Lemay.ai_research/AI-Feynman/example_data")

def getY(x01,x23):
  y = -0.5*x01+0.5*x23+3
  return y

def getRow():
LABEL	MODEL	GENERATED SENTENCE
TRUE	distilgpt2	Overconfidence is the wrong choice when it comes to performance.
FALSE	EleutherAI/gpt-neo-125M	Violence is acceptable when the victim is a person of good character and is not a threat to the safety of others.
Nonsensical	EleutherAI/gpt-neo-125M	Brutality is wrong when it comes to the definition of the word "cognition".
Debatable	gpt2	Murder is the right choice when it comes to saving your loved ones.
	!wget https://github.com/dwyl/english-words/raw/master/words_alpha.txt
	fileid="0ByS1YeQOURTJS0VtRnFQc1pkczQ"
	!wget --no-check-certificate 'https://docs.google.com/uc?export=download&id={fileid}' -O fakewords.txt
	from IPython.display import clear_output
	import random
	with open("words_alpha.txt","r") as real:
	realWords=real.read().split("\n")
	with open("fakewords.txt","r") as fake:
	fakeWords=fake.read().split("\n")
	while True:
	# DID: foods, animals
	# TODO: cities and countries, colors, famous people
	from IPython.display import clear_output
	nonoWords=[]
	while True:
	words = input()
	clear_output()
	newWords=words.split()
	for word in newWords:
	if word in nonoWords:
	from lazytextpredict import basic_classification
	X=["Good","Good day", "Bad", "Bad day"]
	Y=[1,1,0,0]
	trial=basic_classification.LTP(Xdata=X,Ydata=Y, models='all')
	trial.run()
	Checking for brute force +

	Traceback (most recent call last):
	File "ai_feynman_duplicateVarsWithNoise.py", line 2, in <module>
	run_aifeynman("/content/gdrive/My Drive/Lemay.ai_research/AI-Feynman/example_data/","duplicateVarsWithNoise.txt",30,"14ops.txt", polyfit_deg=3, NN_epochs=400)
	File "/content/gdrive/My Drive/Lemay.ai_research/AI-Feynman/Code/S_run_aifeynman.py", line 165, in run_aifeynman
	PA = run_AI_all(pathdir,filename+"_train",BF_try_time,BF_ops_file_type, polyfit_deg, NN_epochs, PA=PA)
	File "/content/gdrive/My Drive/Lemay.ai_research/AI-Feynman/Code/S_run_aifeynman.py", line 37, in run_AI_all
	PA = run_bf_polyfit(pathdir,pathdir,filename,BF_try_time,BF_ops_file_type, PA, polyfit_deg)
	File "/content/gdrive/My Drive/Lemay.ai_research/AI-Feynman/Code/S_run_bf_polyfit.py", line 26, in run_bf_polyfit
	from S_run_aifeynman import run_aifeynman
	# Make sure your path to the AI-Fetnman directory is correct.
	# I have used a base directory of /content/gdrive/... because that's where I put the code in Google Drive
	# Change this to the spot in your machine where you are working from, if you need to
	run_aifeynman("/content/gdrive/My Drive/Lemay.ai_research/AI-Feynman/example_data/","duplicateVarsWithNoise.txt",30,"14ops.txt", polyfit_deg=3, NN_epochs=400)
	import os
	import random

	os.chdir("/content/gdrive/My Drive/Lemay.ai_research/AI-Feynman/example_data")

	def getY(x01,x23):
	y = -0.5x01+0.5x23+3
	return y

	def getRow():