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| JOINT_NAMES = [ | |
| 'shoulder_pan_joint', 'shoulder_lift_joint', 'elbow_joint', | |
| 'wrist_1_joint', 'wrist_2_joint', 'wrist_3_joint' | |
| ] | |
| class UR5Controller(object): | |
| def __init__(self): | |
| rospy.init_node('node', anonymous=True) | |
| self.speed_pub = rospy.Publisher('ur_driver/joint_speed', JointTrajectory, queue_size=1) |
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| import numpy as np | |
| import cv2 | |
| img_size = 640 | |
| initial_nodes = np.array([ | |
| [+1.0, +1.0, +1.0, +1.0], | |
| [+1.0, +1.0, +1.0, -1.0], | |
| [+1.0, +1.0, -1.0, +1.0], | |
| [+1.0, +1.0, -1.0, -1.0], | |
| [+1.0, -1.0, +1.0, +1.0], |
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| cd | |
| git clone [email protected]:sergeant-wizard/rc_files | |
| ln -s rc_files/.vimrc .vimrc | |
| ln -s rc_files/tmux.conf.linux .tmux.conf | |
| git clone https://github.com/robbyrussell/oh-my-zsh.git | |
| git clone https://github.com/vim/vim.git | |
| cd vim | |
| ./configure --with-features=huge --enable-multibyte --enable-pythoninterp=yes --enable-cscope --with-x --prefix=/home/ryo/vim/ |
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| np.set_printoptions(formatter={'float': lambda x: '%+1.1f' % x}, linewidth=50) |
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| import scipy.linalg | |
| import numpy as np | |
| import sys | |
| num_samples = 500000 | |
| n = 7 | |
| def inv(Q, x, num_eqs): |
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| def show_mat(mat): | |
| fig = plt.figure() | |
| ax = fig.add_subplot(111) | |
| cax = ax.matshow(mat) | |
| fig.colorbar(cax) |
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| library(magrittr) | |
| F <- function(y, theta) { | |
| dnorm(y, mean = theta, sd = 1) | |
| } | |
| G0 <- function(theta) { | |
| dnorm(theta, mean = 0, sd = 1) | |
| } |
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| library(plyr) | |
| num_data <- 100 | |
| true_lambda <- 1 | |
| sample_from_distribution <- function(candidates, distribution, threshold) { | |
| while (TRUE) { | |
| x <- sample(candidates, size = 1) | |
| dice <- runif(n = 1, min = 0, max = 1) | |
| if (dice < distribution(x) / threshold) { |
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| library(dplyr) | |
| library(ggplot2) | |
| extract_input <- function(data) { | |
| return(data %>% select(c(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width))) | |
| } | |
| extract_labels <- function(data) { | |
| return(data %$% Species %>% factor) | |
| } |
We can make this file beautiful and searchable if this error is corrected: It looks like row 5 should actually have 34 columns, instead of 1 in line 4.
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| 0.02620087336,0,0,0,0,1,0,0,0,0,0,0,0,0.237037037,0.5070422535,0.6,0.6923076923,0,0.1212121212,0.5,0.6367980884,0.5735080058,0.6797752809,0.6111111111,0.7682926829,0.2727272727,0.479638009,0.7974683544,0.7183098592,0.4277777778,0.2958823529,0,0.2083333333,1 | |
| 0.2358078603,0,0,1,0,0,0,0,0,0,0,0,0,0.6790123457,0.01408450704,0,0.07692307692,0,0,0,0.05256869773,0.03881610869,0.1011235955,0.05555555556,0.0487804878,0,0.01357466063,0.1392405063,0.1549295775,0.6777777778,0.3594117647,0.2173913043,0.5416666667,1 | |
| 0.2139737991,0,0,0,1,0,0,0,0,0,0,0,0,0.1265432099,1,0.3333333333,0.1538461538,0,1,0.714,0.3261648746,0.3352741388,0.2921348315,0.1111111111,0.2682926829,0.09090909091,0.2805429864,0.2151898734,0.2253521127,0.2916666667,0.2111764706,0,0.375,1 | |
| 0.05021834061,0,0,0,0,1,0,0,0,0,0,0,0,0.3067901235,0.3943661972,0.06666666667,0.2307692308,0,0.3333333333,0.25,0.146953405,0.1358563804,0.1853932584,0.2222222222,0.1341463415,0,0.09502262443,0.2025316456,0.2253521127,0.4222222222,0.3223529412,0.1739130435,0.4166666667,1 | |
| 0.0 |