How to use set_ca method in fMBT

Best Python code snippet using fMBT_python

scan_parameters_old.py

Source:scan_parameters_old.py

1from __future__ import division2import pkg_resources3from audioop import avg4pkg_resources.require('cothread')5pkg_resources.require('matplotlib==1.3.1')6pkg_resources.require('numpy')7import matplotlib.pyplot as pyplot8import numpy9# Stuff you need to import10from cothread.catools import caget, caput, ca_nothing11from cothread.cadef import CAException12import cothread13import time14import datetime15import math16#import matplotlib.pyplot as pyplot17#import numpy18# SIMULATION CODE19'''20values = [10, 4]21standard_dev = [1, 1]22def caput(address, value):23    global values24    global stds25    values[address] = value26def caget(address):27    global values28    global stds29    p = numpy.random.normal(values[0], standard_dev[0])30    q = numpy.random.normal(values[1], standard_dev[1])31    32    ret_res =  1 / (1 + numpy.sqrt((p - 5)**2 + (q - 5)**2))33    34    return ret_res35'''36#-----------------------------------------------------37# This measure_funcs is slightly different to the previous one in measure_obj_func238# in that it not only measures standard dev, but also takes in tuples rather than dictionaries39def measure_funcs(*measurements): # measurements is a collection of tuples, each of length 3, giving address, measurement count, and measurement delay40    function_count = len(measurements)41    counts = function_count * [0]42    results = function_count * [0.0]43    std = function_count * [0.0]44    45    runs = function_count * [True]46    run = True47    48    start_time = time.time()49    50    while run:51        for i in range(function_count):52            if (time.time() - start_time) >= (counts[i] * measurements[i][2]):53                if counts[i] < measurements[i][1]:54                    measurement = caget(measurements[i][0])55                    results[i] += measurement56                    std[i] += measurement**257                    counts[i] += 158                else:59                    runs[i] = False60        run = False61        for i in range(function_count):62            if runs[i]:63                run = True64    65    for i in range(function_count):66        results[i] = results[i] / counts[i]67        std[i] = std[i] / counts[i]68        std[i] = std[i] - results[i]**269        std[i] = numpy.sqrt(std[i])70    71    return (results, std, counts) # Returns a tuple with the mean of each measurement, and a tuple with the std of each measurement72def write_2d_array(address, data):73    write_file = open(address, 'w+')74    75    write_file.write('{0}'.format(data.shape[0]))76    write_file.write('-')77    write_file.write('{0}'.format(data.shape[1]))78    write_file.write('=')79    80    for i in range(data.shape[0]):81        for j in range(data.shape[1]):82            write_file.write('{0}'.format(data[i][j]))83            write_file.write(',')84        85        #write_file.write(';')86    87    write_file.close()88def read_2d_array(address):89    read_file = open(address, 'r')90    91    content = read_file.read()92    93    width = 094    height = 095    96    run = True97    current = ''98    stage = '/'99    i = 0100    101    while run:102        if stage == '/':103            if content[i] == '-':104                width = int(current)105                current = ''106                stage = '-'107            else:108                current += content[i]109        elif stage == '-':110            if content[i] == '=':111                height = int(current)112                current = ''113                stage = '='114                run = False115            else:116                current += content[i]117        118        i += 1119    120    data = numpy.zeros((width, height))121    122    run = True123    x = 0124    y = 0125    126    for x in range(width):127        for y in range(height):128            run = True129            130            while run:131                if content[i] == ',':132                    data[x, y] = current133                    run = False134                    current = ''135                else:136                    current += content[i]137                138                i += 1139            140    141    read_file.close()142    return data143#set_ca = (('LB-PC-VSTR-05:SETI', 1), ('LB-PC-VSTR-06:SETI', 1)) # Address, delay144set_ca = (('LB-PC-VSTR-01:SETI', 0.5), ('LB-PC-VSTR-02:SETI', 0.5)) # Address, delay145#measure_ca = ('CS-DI-XFER-01:LB-03-BR', 5, 0.2) # Address, number, delay146measure_ca = ('LB-DI-EBPM-03:FT:Y', 5, 0.2) # Address, number, delay147# Read initial configuration148initial = [0, 0]149initial[0] = caget(set_ca[0][0])150initial[1] = caget(set_ca[1][0])151boundaries = ((initial[0] - 0.5, initial[0] + 0.5), (initial[1] - 0.5, initial[1] + 0.5))152point_count = (2, 2)153X = numpy.linspace(boundaries[0][0], boundaries[0][1], point_count[0])154Y = numpy.linspace(boundaries[1][0], boundaries[1][1], point_count[1])155x, y = numpy.meshgrid(X, Y)156results = numpy.zeros((point_count[0], point_count[1]))157stds = numpy.zeros((point_count[0], point_count[1]))158for a in range(point_count[0]):159    #caput(set_ca[0][0], X[a])160    #caput(set_ca[1][0], Y[0])161    print 'Set {0} to {1}'.format(set_ca[0][0], X[a])162    cothread.Sleep(set_ca[0][1])    163    for b in range(point_count[1]):164        #caput(set_ca[1][0], Y[b])165        print 'Set {0} to {1}'.format(set_ca[1][0], Y[b])166        cothread.Sleep(set_ca[1][1])167        168        measurement = measure_funcs(measure_ca)169        results[a][b] = measurement[0][0]170        stds[a][b] = measurement[1][0]171current_time_string = datetime.datetime.fromtimestamp(time.time()).strftime('%Y_%m_%d %H_%M_%S')172write_2d_array('x {0} - {1}.data'.format(current_time_string, set_ca[0][0]), x)173write_2d_array('y {0} - {1}.data'.format(current_time_string, set_ca[1][0]), y)174write_2d_array('results {0} - {1} - {2}.data'.format(current_time_string, set_ca[0][0], set_ca[1][0]), results)175write_2d_array('stds {0} - {1} - {2}.data'.format(current_time_string, set_ca[0][0], set_ca[1][0]), stds)176#rx = read_2d_array('x.data')177#ry = read_2d_array('y.data')178#rres = read_2d_array('results.data')179#rstds = read_2d_array('stds.data')180#Set back to initial position181#caput(set_ca[0][0], initial[0])182#caput(set_ca[1][0], initial[1])183cothread.Sleep(1)184pyplot.figure()185pyplot.subplot(211)186pyplot.pcolormesh(x, y, results)187pyplot.colorbar()188pyplot.xlabel(set_ca[0][0])189pyplot.ylabel(set_ca[1][0])190pyplot.subplot(212)191pyplot.pcolormesh(x, y, stds)192pyplot.colorbar()193pyplot.xlabel(set_ca[0][0])194pyplot.ylabel(set_ca[1][0])...

scan_simulation_old.py

Source:scan_simulation_old.py

1from __future__ import division2import pkg_resources3from audioop import avg4pkg_resources.require('cothread')5pkg_resources.require('matplotlib==1.3.1')6import matplotlib.pyplot as plt7   8 #Stuff you need to import9from cothread.catools import caget, caput, ca_nothing10from cothread.cadef import CAException11import time12import matplotlib.pyplot as pyplot13from matplotlib import cm14import numpy15# SIMULATION CODE16values = [0, 0]17standard_dev = [0.1, 0.1]18def caput(address, value):19    global values20    global stds21    values[address] = value22def caget(address):23    global values24    global stds25    p = numpy.random.normal(values[0], standard_dev[0])26    q = numpy.random.normal(values[1], standard_dev[1])27    28    ret_res =  1 / (1 + numpy.sqrt((p - 5)**2 + (q - 5)**2))29    30    return ret_res31#-----------------------------------------------------32# This measure_funcs is slightly different to the previous one in measure_obj_func233# in that it not only measures standard dev, but also takes in tuples rather than dictionaries34def measure_funcs(*measurements): # measurements is a collection of tuples, each of length 3, giving address, measurement count, and measurement delay35    function_count = len(measurements)36    counts = function_count * [0] 37    results = function_count * [0.0] # zeros for measurements to be taken38    std = function_count * [0.0] # zeros for std dev to be taken39    40    runs = function_count * [True] # list of run operations41    run = True #current run42    43    start_time = time.time() # start the timer44    45    while run:46        for i in range(function_count):47            if (time.time() - start_time) >= (counts[i] * measurements[i][2]): #make sure to leave enough time 48                if counts[i] < measurements[i][1]: #????49                    measurement = caget(measurements[i][0]) #get 'efficiency'50                    results[i] += measurement #add new measurement for mean to be calculated 51                    std[i] += measurement**2 #add squares of std for calculation later52                    counts[i] += 1 #increase count number53                else:54                    runs[i] = False #55        run = False56        for i in range(function_count):57            if runs[i]:58                run = True59    60    for i in range(function_count):61        results[i] = results[i] / counts[i] #mean results62        std[i] = std[i] / counts[i]63        std[i] = std[i] - results[i]**264        std[i] = numpy.sqrt(std[i]) #final std65    66    return (results, std, counts) # Returns a tuple with the mean of each measurement, and a tuple with the std of each measurement67set_ca = ((0, 0.00001), (1, 0.00001)) # Address, delay68measure_ca = ('a', 10, 0.00001)69boundaries = ((0, 10), (0, 10))70point_count = (100, 100)71X = numpy.linspace(boundaries[0][0], boundaries[0][1], point_count[0])72Y = numpy.linspace(boundaries[1][0], boundaries[1][1], point_count[1])73x, y = numpy.meshgrid(X, Y)74results = numpy.zeros((point_count[0], point_count[1]))75stds = numpy.zeros((point_count[0], point_count[1]))76for a in range(point_count[0]):77    caput(set_ca[0][0], X[a])78    time.sleep(set_ca[0][1])79    print a80    for b in range(point_count[1]):81        caput(set_ca[1][0], Y[b])82        time.sleep(set_ca[1][1])83        84        measurement = measure_funcs(measure_ca)85        results[a][b] = measurement[0][0]86        stds[a][b] = measurement[1][0]87pyplot.figure()88pyplot.subplot(211)89pyplot.pcolormesh(x, y, results, cmap=cm.plasma)90pyplot.colorbar()91pyplot.subplot(212)92pyplot.pcolormesh(x, y, stds, cmap=cm.plasma)93pyplot.colorbar()...

arithmetic.py

Source:arithmetic.py

...7    X = pd.DataFrame(8        data=data9    )10    return X11def set_ca(X):12    ca = prince.CA(13        n_components=2,14        n_iter=3,15        copy=True,16        check_input=True,17        engine='auto',18        random_state=4219    )20    ca = ca.fit(X)21    return ca22if __name__ == '__main__':23    data = json.loads(sys.argv[1])24    X = set_data(data)25    ca = set_ca(X)26    col = ca.column_coordinates(X).values27    pow = ca.row_coordinates(X).values...

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