| # Configuration | |
| HOME_DIR=/home/[user]/ | |
| VERSION=3.2.0 | |
| # Installation | |
| sudo apt-get update | |
| sudo apt-get upgrade | |
| sudo apt-get install -y build-essential cmake pkg-config | |
| sudo apt-get install -y libjpeg8-dev libtiff5-dev libjasper-dev libpng12-dev | |
| sudo apt-get install -y libavcodec-dev libavformat-dev libswscale-dev libv4l-dev |
In reinforcement learning, I got many discrete distributions corresponding to different states, like the following:
import numpy as np
distributions = np.array([[0.1,0.2,0.7],[0.3,0.3,0.4],[0.2,0.2,0.6]])
# array([[0.1, 0.2, 0.7], # \pi(s0)
# [0.3, 0.3, 0.4], # \pi(s1)
# [0.2, 0.2, 0.6]]) # \pi(s2)
| #!/bin/bash -l | |
| #PBS -N lmpExampleYY | |
| #PBS -l nodes=1:ppn=20 | |
| #PBS -j oe | |
| cd $PBS_O_WORKDIR | |
| ########## No Need To Change The Line Above ################# | |
| in_lmp=in.vacf.2d | |
| mpirun --mca btl '^openib' lmp_mpi -in $in_lmp |
| Tempo Marking | Translation | Beats Per Minute | |
|---|---|---|---|
| Largo | slow and broad | 40-60 bpm | |
| Adagio | slow with great expression | 66-76 bpm | |
| Andante | at a walking pace | 76-108 bpm | |
| Allegretto | moderately fast | 112-120 bpm | |
| Allegro | fast quick and bright | 120-156 bpm | |
| Presto | very very fast | 168-200 bpm | |
| Prestissimo | even faster than Presto | 200 bpm and over |
| import simpleaudio, time | |
| strong_beat = simpleaudio.WaveObject.from_wave_file('strong_beat.wav') | |
| while True: | |
| strong_beat.play() | |
| time.sleep(0.5) |
| import simpleaudio, time | |
| strong_beat = simpleaudio.WaveObject.from_wave_file('strong_beat.wav') | |
| weak_beat = simpleaudio.WaveObject.from_wave_file('weak_beat.wav') | |
| count = 0 | |
| while True: | |
| count = count + 1 | |
| if count == 1: | |
| strong_beat.play() | |
| else: | |
| weak_beat.play() |
| import simpleaudio, time | |
| strong_beat = simpleaudio.WaveObject.from_wave_file('strong_beat.wav') | |
| weak_beat = simpleaudio.WaveObject.from_wave_file('weak_beat.wav') | |
| sub_strong_beat = simpleaudio.WaveObject.from_wave_file('sub_strong_beat.wav') | |
| count = 0 | |
| while True: | |
| count = count + 1 | |
| if count == 1: | |
| strong_beat.play() | |
| elif count == 4: |
| markings = {'Largo': [40, 60], 'Adagio': [66 ,76], 'Andante': [76, 108], | |
| 'Allegretto': [112, 120], 'Allegro': [120, 156], 'Presto':[168, 200], | |
| 'Prestissimo':[200, 330]} | |
| # Function to determine the tempo markings | |
| def tempo_marking_of(tempo): | |
| for key in markings.keys(): | |
| if tempo >= markings[key][0] and tempo <= markings[key][1]: | |
| marking = key | |
| break | |
| else: |
| time_list = [1648565267.9251342, 1648565268.482229, 1648565269.013833, 1648565269.560467, 1648565270.105812, 1648565270.644593, 1648565271.175668] | |
| def tempo_estimate(time_list): | |
| list_len = len(time_list) | |
| N = 6 | |
| if list_len < 6: | |
| interval = (time_list[-1] - time_list[0]) / (list_len - 1) | |
| else: | |
| interval = (time_list[-1] - time_list[-N]) / (N - 1) | |
| temp = int(60/interval) |
| import tkinter as tk | |
| from tkinter import Frame | |
| import simpleaudio, time | |
| theme_colors = {'bg': '#52767D', 'text':'#FFFFE6', 'label_bg':'#3D998D', 'scale_through':'#A3CEC5'} | |
| theme_fonts = ['Helvetica'] | |
| tempo_range = [30, 230] | |
| defaults = {'tempo': 120, 'scale_length': 550} | |
| # The main window |