Overdrivr

118059 verbose linkMans [email protected]
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118063 silly linkStuff [email protected] has C:\Users\B48923\AppData\Roaming\npm\node_modules\strongloop\node_modules\globule\node_modules as its parent node_modules
118064 silly linkStuff [email protected] is part of a global install
118065 silly linkStuff [email protected] is installed into a global node_modules
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Overdrivr

/* -- 
 This program shows how to configure and output 'AB\n' on the USB serial port of a KL25Z
 It is using processor expert and was tested on Kinetis Design Studio (KDS) ver 3.0.0
   -- */

// 1. Add Processor Expert module AsynchroSerial
  // In KDS, in the 'Components' view, right click on 'Components' then "Show components library"
  // In the opened window, select the category 'Kinetis/Peripheral Drivers/Communication' and double-click on AsyncroSerial
  // this will add the AsyncroSerial module to your project
// 2. Configuration

Overdrivr

from cffi import FFI
ffi = FFI()

ffi.cdef("""
typedef struct T T;
struct T
{
  int a;
  float b;
};

Overdrivr

import matplotlib
matplotlib.use('TkAgg')
from numpy import arange, sin, pi
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
from matplotlib.figure import Figure
import tkinter as Tk
import tkinter.ttk as ttk

class Plot2D(Tk.Frame):
    def __init__(self,parent,**kwargs):

Overdrivr

# -*- coding: utf-8 -*-
from pyqtgraph.Qt import QtGui, QtCore
import numpy as np
from numpy import arange, sin, cos, pi
import pyqtgraph as pg
import sys

class Plot2D():
    def __init__(self):
        self.traces = dict()

Overdrivr

#include "telemetry/driver.hpp"

int main()
{
  // User state - not used for now
  TM_state state;
  
  // Create a telemetry instance
  Telemetry TM(&state);
  

Overdrivr

import pytelemetry as tm
import pytelemetry.transports.serialtransport as transports
import time

def printer(topic, data):
    print(topic," : ", data)

transport = transports.SerialTransport()
c = tm.pytelemetry(transport)

Overdrivr

# -*- coding: utf-8 -*-
"""
This demo is similar to Pyqtgraph remote plotting examples (https://github.com/pyqtgraph/pyqtgraph/blob/develop/examples/RemoteGraphicsView.py)
Except that it does not use Pyqtgraph's buggy multiprocess module. Instead, it relies on standard python 3+ multiprocessing (https://docs.python.org/3.5/library/multiprocessing.html).
In this example, function f is executed in a second process, which liberates immediately the main process.
"""
from pyqtgraph.Qt import QtGui, QtCore
import numpy as np
import pyqtgraph as pg
from multiprocessing import Process, Manager

Overdrivr

# -*- coding: utf-8 -*-
from pyqtgraph.Qt import QtGui, QtCore
import numpy as np
import pyqtgraph as pg
from multiprocessing import Process, Manager, Queue
import sched, time, threading

# This function is responsible for displaying the data
# it is run in its own process to liberate main process
def display(name,q):

Overdrivr

# -*- coding: utf-8 -*-
"""
This example is identical to https://gist.github.com/Overdrivr/efea3d363556c0dcf4b6
Except that here the plot is contained in a class.
The superplot.start method starts the graph and returns a standard multiprocessing.queue
the io function puts data in this queue, while the graph empties it regularly
The outcome is :
- a super fast application thanks to PyQtGraph
- a main process that is never blocked by the graph
Enjoy !