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""" | |
File: process_rosbag_sync.py | |
Author: Dhruv Shah (shah@cs.berkeley.edu) | |
Python Version: 3.8.13 | |
A simple script to extract rostopics at a fixed (reduced) rate from a rosbag. | |
""" | |
import pickle as pkl | |
import pandas |
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""" | |
Convert Robinhood Account Summary (CSV) to a Transaction Summary (CSV) you can use with a tax software like Glacier (or TaxAct, SprinTax etc. | |
Coupled with (https://github.com/JiahaoShan/Glacier-tax-1099-B-Stock-Transactions-Helper), use this script to autofill Robinhood transaction summary for your 1099-B tax docs on Glacier Tax Prep (http://glaciertax.com). | |
NOTE: This can manually handle stock splits, but does not account for referral stocks. You might have to handle them externally. | |
""" | |
from collections import deque | |
import pandas as pd | |
import numpy as np | |
import csv |
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class HabitatWrapper(gym_wrapper.GymWrapper): | |
# GymWrapper cannot handle all types of gym Spaces, and the action | |
# space in Habitat (at least for the PointNav task) is a gym.Dict | |
# (supported) with str keys and habitat.EmptySpace values | |
# (unsupported). Since the action space is really a discrete space, | |
# we'll update gym_env.action_space temporarily to be Discrete | |
# so that GymWrapper can create an action spec. | |
def __init__(self, | |
gym_env, |
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""" | |
File: planner.py | |
Author: Dhruv Ilesh Shah. CS 747, Autumn 2018. | |
Indian Institute of Technology, Bombay. | |
Date created: 8/30/2018 | |
Date last modified: 9/07/2018 | |
Python Version: 2.7.12 | |
This file contains two ways of solving an MDP planning problem: (i) using Howard's PI (Howard, 1960) | |
or (ii) by posing it as a linear program. The PuLP package has been used to solve the linear system |
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function out = compute_RIC(A, s) | |
% This function computes the Restricted Isometry Constant of given matrix A | |
% at sparsity level s. | |
% Written by Alankar Kotwal (alankarkotwal13@gmail.com), Dhruv Shah (dhruv.ilesh@gmail.com) | |
A = normc(A); | |
nT = size(A, 2); | |
combs = combnk(1:nT, s); | |
out = 0; | |
disp(size(combs, 1)) |
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%% Discrete time Fourier Transform of FIR filters | |
% Generate the DTFT of Window Functions in FIR Filter Design. For a custom | |
% window, define the window function and use the following snippets as is. | |
% Written by Dhruv Ilesh Shah (dhruv.shah@iitb.ac.in) | |
clear all; close all; | |
N = 100; | |
k = -N:N; | |
hamming_window = 0.54 + (0.46 * cos(2*pi*k / (2 * N))); | |
bartlett_window = 1 - (abs(k) / N); |
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#!/usr/bin/env python | |
from __future__ import print_function | |
import rospy | |
from tf.transformations import quaternion_from_euler | |
from std_msgs.msg import String | |
from nav_msgs.msg import Odometry, Path | |
from geometry_msgs.msg import PoseWithCovarianceStamped, PoseStamped | |
from sensor_msgs.msg import Joy | |
import sys | |
import json |
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clear all; close all; | |
n = [0:0.1:50]; | |
w = pi/2; | |
Ts = 0.2; | |
ks = [-200:200]; | |
y = zeros(size(n)) | |
frame_count = 1; |
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""" | |
Lloyd Max Quantizer | |
This program implements a midrise lloyd-max quantizer, for optimal | |
quantization of a random variable demonstrating a Gaussian PDF. | |
The clustering mechanism used here equivalent to k-Means clustering. | |
Author: Dhruv Ilesh Shah | |
EE308 - Communication Systems, Autumn 2017 | |
Indian Institute of Technology, Bombay | |
""" |
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# include <cstdlib> | |
# include <iostream> | |
# include <iomanip> | |
# include <cmath> | |
# include <ctime> | |
# include <omp.h> | |
using namespace std; | |
int main ( void ); |
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