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import numpy as np | |
import scipy.stats as sps | |
import matplotlib.pyplot as plt | |
from scipy.special import digamma | |
# | |
# Config | |
# | |
np.random.seed(999) | |
plt.rcParams['font.family'] = "monospace" |
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/* | |
This code reads the BNO055 fast using the RPi linux kernel support for I2C. | |
for running this file as a program, compile and run! | |
gcc -o faster faster.c -O3 && ./faster | |
You can also compile as a shared lib, and then call it from python. | |
gcc -Wall -shared -o faster.so faster.c && python faster.py | |
Page number and table number references are to the BNO055 data sheet. |
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{- A module implementing a simple (and quite dumb) set -} | |
module MySet1 (Set, empty, toList, insert, contains) where | |
import Data.List(nub) | |
{- Set | |
A set, backed by a regular list. | |
If the list has duplicates, it is nothing the user should notice | |
-} | |
data Set a = SetC [a] |
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import jax | |
import jax.numpy as jnp | |
import functools | |
def gmm_max(logpi, mu, cov): | |
"""Return an upper bound the GMM density | |
logpi: (K,)-array of the log-weights | |
mu: (K, D)-array of the component means | |
cov: (K,D,D)-array of the component covarainces |
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