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How to use test_conversion method in tavern

Best Python code snippet using tavern

test_ms_conversion.py

Source:test_ms_conversion.py

1# requires a data/refimager directory2# obtain from https://drive.google.com/file/d/1LfEtb5POmAS3Qv-CZ1_01RNtPCltTAMD/view?usp=sharing3import os4import time5import numpy as np6from cngi.conversion import convert_ms, read_ms, describe_ms7from cngi.dio import write_vis8def compare_xds(xds1, xds2):9    match = True10    if not xds1.equals(xds2):11        for col in xds1.data_vars:12            if xds1[col].equals(xds2[col]): # and xds1[col].equals(xds3[col]):13                #print('- MATCH %s' % col)14                continue15            if (xds1[col].dtype == np.int32) or (xds1[col].dtype == np.int64):16                diff = np.max(np.abs(xds1[col].clip(0) - xds2[col].clip(0)))17                #diff = max(diff, np.max(np.abs(xds2[col].values.clip(0) - xds3[col].values.clip(0))))18            elif xds1[col].dtype == np.bool:19                diff = np.max(np.abs(xds1[col] != xds2[col]))20                #diff = float(max(diff, np.max(np.abs(xds2[col].values != xds3[col].values))))21            else:22                diff = np.max(np.abs(np.nan_to_num(xds1[col]) - np.nan_to_num(xds2[col])))23                #diff = max(diff, np.max(np.abs(np.nan_to_num(xds2[col].values) - np.nan_to_num(xds3[col].values))))24            if diff > 1e-8:25                print('+++++ difference found in col %s = %f +++++' % (col, diff))26                match = False27            else:28                #print('- MANUAL MATCH  %s' % col)29                pass30    if match: print('+++++ MATCH +++++')31ms_list = [ms for ms in os.listdir('data/refimager') if ms.endswith('.ms')]32for ms in ms_list:33    print('Converting %s...' % ms.split('/')[-1])34    xds1 = convert_ms('data/refimager/'+ms, ddis=[0]).xds035    xds2 = read_ms('data/refimager/' + ms, ddis=[0]).xds036    compare_xds(xds1, xds2)37    mxds2 = read_ms('data/refimager/'+ms)38xds1 = convert_ms('data/sis14_twhya_calibrated_flagged.ms', ddis=[0]).xds039xds2 = read_ms('data/sis14_twhya_calibrated_flagged.ms', ddis=[0]).xds040compare_xds(xds1, xds2)41mxds = read_ms('data/sis14_twhya_calibrated_flagged.ms')42write_vis(mxds, 'data/test_conversion.vis.zarr')43os.system('rm -fr data/test_conversion.vis.zarr')44xds1 = convert_ms('data/M100.ms', ddis=[0], chunks=(100,60,16,2)).xds045xds2 = read_ms('data/M100.ms', ddis=[0], chunks=(100,60,16,2)).xds046compare_xds(xds1, xds2)47describe_ms('data/M100.ms')48mxds = read_ms('data/M100.ms', ddis=[0,1,2,3], chunks=(100,60,16,2))49write_vis(mxds, 'data/test_conversion.vis.zarr')50xds1 = convert_ms('data/IRAS16293_Band9.ms', ddis=[0], chunks=(100, 100, 300, 2)).xds051xds2 = read_ms('data/IRAS16293_Band9.ms', ddis=[0], chunks=(100, 100, 300, 2)).xds052compare_xds(xds1, xds2)53mxds = read_ms('data/IRAS16293_Band9.ms')54write_vis(mxds, 'data/test_conversion.vis.zarr')55xds1 = convert_ms('data/VLASS_J1448_1620.ms', ddis=[2]).xds256xds2 = read_ms('data/VLASS_J1448_1620.ms', ddis=[2]).xds257compare_xds(xds1, xds2)58mxds = read_ms('data/VLASS_J1448_1620.ms')59write_vis(mxds, 'data/test_conversion.vis.zarr')60xds1 = convert_ms('data/3c391_ctm_mosaic_10s_spw0.ms', ddis=[0]).xds061xds2 = read_ms('data/3c391_ctm_mosaic_10s_spw0.ms', ddis=[0]).xds062compare_xds(xds1, xds2)63mxds = read_ms('data/3c391_ctm_mosaic_10s_spw0.ms')64write_vis(mxds, 'data/test_conversion.vis.zarr')65xds1 = convert_ms('data/uid___A002_Xc3032e_X27c3.ms', ddis=[0], chunks=(1000,400,-1,-1)).xds066xds2 = read_ms('data/uid___A002_Xc3032e_X27c3.ms', ddis=[0], chunks=(1000,400,1,2)).xds067compare_xds(xds1, xds2)68describe_ms('data/uid___A002_Xc3032e_X27c3.ms')69start = time.time()70mxds = read_ms('data/uid___A002_Xc3032e_X27c3.ms', chunks=(600,100,400,2))71#xds = read_ms('data/uid___A002_Xc3032e_X27c3.ms', ddis=[25], chunks=(600,100,400,2)).xds2572print('read complete in %s seconds' % str(time.time()-start))73write_vis(mxds, 'data/test_conversion.vis.zarr')74start = time.time()75mxds = read_ms(infile, chunks=(1000,64,1000,2))...

views.py

Source:views.py

1from collections import Counter2from django.shortcuts import render3counter_show = Counter()4counter_click = Counter()5def index(request):6    param = request.GET.get('from-landing')7    counter_click[param] += 18    return render(request, 'index.html')9def landing(request):10    param = request.GET.get('ab-test-arg', 'original')11    if param == 'test':12        template = 'landing_alternate.html'13    else:14        template = 'landing.html'15    counter_show[param] += 116    return render(request, template)17def stats(request):18    try:19        test_conversion = counter_click['test']/counter_show['test']20    except ZeroDivisionError:21        test_conversion = 'ÐÐµÑ Ð´Ð°Ð½Ð½ÑÑ'22    try:23        original_conversion = counter_click['original']/counter_show['original']24    except ZeroDivisionError:25        original_conversion = 'ÐÐµÑ Ð´Ð°Ð½Ð½ÑÑ'26    return render(request, 'stats.html', context={27        'test_conversion': test_conversion,28        'original_conversion': original_conversion,...

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