endolith

## README.md

      
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                endolith
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              June 5, 2023 19:48
            
              
                Turn BOINC on or off depending on how warm the room is
              
          
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    Written by ChatGPT and me.
I also had to enable temperhum as a non-root user and set up a cron job to call this script every once in a while.

  
## README.md

      
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                endolith
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              April 19, 2023 00:36
            
              
                Qalculate keyboard shortcut with AutoHotkey
              
          
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    FINALLY.
Instructions:

Install Qalculate
Install AutoHotkey
Add qalc.exe to your PATH.  I use Rapid Environment Editor for this.
Run qalc.ahk

To use it:

  
## whisper_transcribe.py
"""
Break up a long recording to fit within the Whisper API's limits, with some
overlap, so no words are missed, and then feed to OpenAI Whisper API to
transcribe it to .txt file.  Written by endolith and ChatGPT-4.
"""

import openai
import math
import os
import subprocess

## cyclic_noise.py
import numpy as np
import matplotlib.pyplot as plt
from scipy.ndimage import gaussian_filter

rng = np.random.default_rng()

# shape = (1024, )
# shape = (512, 512)
shape = (128, 128, 128)

## db_to_gpx.py
"""
Written by GPT3 from this English prompt (with one tweak to the prompt, to get
the timestamp parameter to not error out, and PEP8 fixes):

----

1. Open a sqlite database with a name like `2022-07-17 17.48.19.db` or
    `2021-04-11 08.44.16.db`
2. Inside is a table called `locations`, with headers [LOCTYPE INTEGER,
    TIMESTAMP BIGINT, LATITUDE REAL, LONGITUDE REAL,ALTITUDE REAL, ACCURACY

## estimated_variance_of_estimated_probability.py
"""
Confirm the formula for estimating the variance of an estimated probability.

Created on Fri May 27 11:06:43 2022
"""
import numpy as np


def func(x):
    """

## FIR_filter_NN.py
"""
Train a neural network to learn an FIR filter.

Created on Fri Aug  3 15:00:40 2018
"""
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
from tensorflow.keras.callbacks import Callback
import numpy as np
from scipy import signal

## pinned
python 3.8.*
scikit-learn ==0.24.1

## zfft.py
""" Zoom FFT function"""

import numpy as np
from time import time
from scipy.fftpack import fft, ifft
from numpy import swapaxes

def chirpz(x, A=None, W=None, M=None):
    """chirpz(x, A, W, M) - Chirp z-transform of variable x

## Weber 1977 all transcriptions.md

      
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                endolith
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              February 21, 2023 15:26
            
              
                Some quotes from Weber (1978) "Comparison of Public Choice Systems"
              
          
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    Weber (1978). "Comparison of Public Choice Systems".
I can't find any online OCRed copy of this content, so I'm transcribing a bunch of stuff.
Citation:

Weber, Robert J. (September 1978). "Comparison of Public Choice Systems". Cowles Foundation Discussion Papers. Cowles Foundation for Research in Economics. No. 498.

Actually this contains three previous unpublished papers, which is why it's sometimes listed as "1977".  Example citations for the individual papers:
	"""
	Break up a long recording to fit within the Whisper API's limits, with some
	overlap, so no words are missed, and then feed to OpenAI Whisper API to
	transcribe it to .txt file. Written by endolith and ChatGPT-4.
	"""

	import openai
	import math
	import os
	import subprocess
	import numpy as np
	import matplotlib.pyplot as plt
	from scipy.ndimage import gaussian_filter

	rng = np.random.default_rng()

	# shape = (1024, )
	# shape = (512, 512)
	shape = (128, 128, 128)
	"""
	Written by GPT3 from this English prompt (with one tweak to the prompt, to get
	the timestamp parameter to not error out, and PEP8 fixes):

	----

	1. Open a sqlite database with a name like `2022-07-17 17.48.19.db` or
	`2021-04-11 08.44.16.db`
	2. Inside is a table called `locations`, with headers [LOCTYPE INTEGER,
	TIMESTAMP BIGINT, LATITUDE REAL, LONGITUDE REAL,ALTITUDE REAL, ACCURACY
	"""
	Confirm the formula for estimating the variance of an estimated probability.

	Created on Fri May 27 11:06:43 2022
	"""
	import numpy as np


	def func(x):
	"""
	"""
	Train a neural network to learn an FIR filter.

	Created on Fri Aug 3 15:00:40 2018
	"""
	from tensorflow.keras.models import Sequential
	from tensorflow.keras.layers import Dense
	from tensorflow.keras.callbacks import Callback
	import numpy as np
	from scipy import signal
	""" Zoom FFT function"""

	import numpy as np
	from time import time
	from scipy.fftpack import fft, ifft
	from numpy import swapaxes

	def chirpz(x, A=None, W=None, M=None):
	"""chirpz(x, A, W, M) - Chirp z-transform of variable x