xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

045d833a3d41ca735b37c661f969bbfde50f661d

16,489

py

Python

examples/temp_bubbles/plot_sweep_results.py

JBHilton/hh-npi-modelling

8a51e6260bdc700bfa7995ff4b0885393da4d360

[ "Apache-2.0" ]

2

2022-01-17T09:28:46.000Z

2022-01-17T09:36:29.000Z

examples/temp_bubbles/plot_sweep_results.py

JBHilton/hh-npi-modelling

8a51e6260bdc700bfa7995ff4b0885393da4d360

[ "Apache-2.0" ]

null

examples/temp_bubbles/plot_sweep_results.py

JBHilton/hh-npi-modelling

8a51e6260bdc700bfa7995ff4b0885393da4d360

[ "Apache-2.0" ]

null

'''This plots the bubble results ''' from os import mkdir from os.path import isdir from math import ceil, floor from pickle import dump, load from numpy import arange, array, atleast_2d, hstack, where, zeros from matplotlib.pyplot import axes, close, colorbar, imshow, subplots from mpl_toolkits.axes_grid1 import make_axes_locatable if isdir('plots/temp_bubbles') is False: mkdir('plots/temp_bubbles') with open('outputs/temp_bubbles/baseline_results.pkl', 'rb') as f: (baseline_peak_data, baseline_end_data, baseline_ar_data, baseline_hh_prop_data) = load(f) with open('outputs/temp_bubbles/results.pkl', 'rb') as f: (peak_data0, end_data0, ar_data0, hh_prop_data0, peak_data1, end_data1, ar_data1, hh_prop_data1, peak_data2, end_data2, ar_data2, hh_prop_data2, peak_data3, end_data3, ar_data3, hh_prop_data3, peak_data4, end_data4, ar_data4, hh_prop_data4, unmerged_exponents, merged_exponents) = load(f) baseline_peak_array = 0 * end_data0 for i in range(merged_exponents.shape[1]): baseline_peak_array[:,i] = baseline_peak_data baseline_end_array = 0 * end_data0 for i in range(merged_exponents.shape[1]): baseline_end_array[:,i] = baseline_end_data fig, ((ax_0, ax_1), (ax_2, ax_3), (ax_4, ax_5)) = subplots(3, 2, sharex=True, sharey=True, figsize=(6,8)) vmin_bl = 0.5*floor(2*100*baseline_peak_array.min()) vmax_bl = 0.5*ceil(2*100*baseline_peak_array.max()) vmin_0 = 0.5*floor(2*100*peak_data0.min()) vmax_0 = 0.5*ceil(2*100*peak_data0.max()) vmin_2 = 0.5*floor(2*100*peak_data2.min()) vmax_2 = 0.5*ceil(2*100*peak_data2.max()) vmin_1 = 0.5*floor(2*100*peak_data1.min()) vmax_1 = 0.5*ceil(2*100*peak_data1.max()) vmin_4 = 0.5*floor(2*100*peak_data4.min()) vmax_4 = 0.5*ceil(2*100*peak_data4.max()) vmin_3 = 0.5*floor(2*100*peak_data3.min()) vmax_3 = 0.5*ceil(2*100*peak_data3.max()) vmin = min(vmin_bl, vmin_0, vmin_1, vmin_2, vmin_3, vmin_4) vmax = max(vmax_bl, vmax_0, vmax_1, vmax_2, vmax_3, vmax_4) vtick = arange(vmin, vmax+0.5, 0.5) axim = ax_0.imshow(100 * baseline_peak_array, origin='lower', vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1), aspect=1) ax_0.set_ylabel('Single household\n density exponent', fontsize=12) ax_0.text(-0.5, 1, 'a)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_0.spines['top'].set_visible(False) ax_0.spines['right'].set_visible(False) axim = ax_1.imshow(100 * peak_data0, origin='lower', vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1), aspect=1) ax_1.text(-0.2, 1, 'b)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_1.spines['top'].set_visible(False) ax_1.spines['right'].set_visible(False) axim = ax_2.imshow(100 * peak_data2, origin='lower', vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1), aspect=1) ax_2.set_ylabel('Single household\n density exponent', fontsize=12) ax_2.text(-0.5, 1, 'c)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_2.spines['top'].set_visible(False) ax_2.spines['right'].set_visible(False) axim = ax_3.imshow(100 * peak_data1, origin='lower', vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1), aspect=1) ax_3.text(-0.2, 1, 'd)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_3.spines['top'].set_visible(False) ax_3.spines['right'].set_visible(False) axim = ax_4.imshow(100 * peak_data4, origin='lower', vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1), aspect=1) ax_4.set_ylabel('Single household\n density exponent', fontsize=12) ax_4.set_xlabel('Bubbled density\n exponent', fontsize=12) ax_4.text(-0.5, 1, 'e)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_4.spines['top'].set_visible(False) ax_4.spines['right'].set_visible(False) axim = ax_5.imshow(100 * peak_data3, origin='lower', vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1), aspect=1) ax_5.set_xlabel('Bubbled density\n exponent', fontsize=12) ax_5.text(-0.2, 1, 'f)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_5.spines['top'].set_visible(False) ax_5.spines['right'].set_visible(False) cax = fig.add_axes([0.95, 0.15, 0.05, 0.7]) cbar = fig.colorbar(axim, cax=cax, orientation='vertical', ticks=vtick) cbar.set_label("Peak %\n prevalence", fontsize=12) cbar.outline.set_visible(False) axim = ax_0.contour(100 * baseline_peak_array, colors='w', levels=vtick, vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1)) ax_0.clabel(axim, fontsize=9, inline=1, fmt='%1.1f') ax_0.set_ylabel('Single household\n density exponent', fontsize=12) ax_0.text(-0.5, 1, 'a)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_0.spines['top'].set_visible(False) ax_0.spines['right'].set_visible(False) axim = ax_1.contour(100 * peak_data0, colors='w', levels=vtick, vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1)) ax_1.clabel(axim, fontsize=9, inline=1, fmt='%1.1f') ax_1.text(-0.2, 1, 'b)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_1.spines['top'].set_visible(False) ax_1.spines['right'].set_visible(False) axim = ax_2.contour(100 * peak_data2, colors='w', levels=vtick, vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1)) ax_2.clabel(axim, fontsize=9, inline=1, fmt='%1.1f') ax_2.set_ylabel('Single household\n density exponent', fontsize=12) ax_2.text(-0.5, 1, 'c)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_2.spines['top'].set_visible(False) ax_2.spines['right'].set_visible(False) axim = ax_3.contour(100 * peak_data1, colors='w', levels=vtick, vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1)) ax_3.clabel(axim, fontsize=9, inline=1, fmt='%1.1f') ax_3.text(-0.2, 1, 'd)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_3.spines['top'].set_visible(False) ax_3.spines['right'].set_visible(False) axim = ax_4.contour(100 * peak_data4, colors='w', levels=vtick, vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1)) ax_4.clabel(axim, fontsize=9, inline=1, fmt='%1.1f') ax_4.set_ylabel('Single household\n density exponent', fontsize=12) ax_4.set_xlabel('Bubbled density\n exponent', fontsize=12) ax_4.text(-0.5, 1, 'e)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_4.spines['top'].set_visible(False) ax_4.spines['right'].set_visible(False) axim = ax_5.contour(100 * peak_data3, colors='w', levels=vtick, vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1)) ax_5.clabel(axim, fontsize=9, inline=1, fmt='%1.1f') ax_5.set_xlabel('Bubbled density\n exponent', fontsize=12) ax_5.text(-0.2, 1, 'f)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_5.spines['top'].set_visible(False) ax_5.spines['right'].set_visible(False) fig.savefig('plots/temp_bubbles/peak_prev_grid.png',bbox_inches='tight', dpi=300) close() fig, ((ax_0, ax_1), (ax_2, ax_3), (ax_4, ax_5)) = subplots(3, 2, sharex=True, sharey=True, figsize=(6,8)) vmin_bl = floor(100*baseline_end_array.min()) vmax_bl = ceil(100*baseline_end_array.max()) vmin_0 = floor(100*end_data0.min()) vmax_0 = ceil(100*end_data0.max()) vmin_2 = floor(100*end_data2.min()) vmax_2 = ceil(100*end_data2.max()) vmin_1 = floor(100*end_data1.min()) vmax_1 = ceil(100*end_data1.max()) vmin_4 = floor(100*end_data4.min()) vmax_4 = ceil(100*end_data4.max()) vmin_3 = floor(100*end_data3.min()) vmax_3 = ceil(100*end_data3.max()) vmin = min(vmin_bl, vmin_0, vmin_1, vmin_2, vmin_3, vmin_4) vmax = max(vmax_bl, vmax_0, vmax_1, vmax_2, vmax_3, vmax_4) vtick = arange(vmin, vmax+1.0, 1.0) axim = ax_0.imshow(100 * baseline_end_array, origin='lower', vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1), aspect=1) ax_0.set_ylabel('Single household\n density exponent', fontsize=12) ax_0.text(-0.5, 1, 'a)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_0.spines['top'].set_visible(False) ax_0.spines['right'].set_visible(False) axim = ax_1.imshow(100 * end_data0, origin='lower', vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1), aspect=1) ax_1.text(-0.2, 1, 'b)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_1.spines['top'].set_visible(False) ax_1.spines['right'].set_visible(False) axim = ax_2.imshow(100 * end_data2, origin='lower', vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1), aspect=1) ax_2.set_ylabel('Single household\n density exponent', fontsize=12) ax_2.text(-0.5, 1, 'c)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_2.spines['top'].set_visible(False) ax_2.spines['right'].set_visible(False) axim = ax_3.imshow(100 * end_data1, origin='lower', vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1), aspect=1) ax_3.text(-0.2, 1, 'd)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_3.spines['top'].set_visible(False) ax_3.spines['right'].set_visible(False) axim = ax_4.imshow(100 * end_data4, origin='lower', vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1), aspect=1) ax_4.set_ylabel('Single household\n density exponent', fontsize=12) ax_4.set_xlabel('Bubbled density\n exponent', fontsize=12) ax_4.text(-0.5, 1, 'e)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_4.spines['top'].set_visible(False) ax_4.spines['right'].set_visible(False) axim = ax_5.imshow(100 * end_data3, origin='lower', vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1), aspect=1) ax_5.set_xlabel('Bubbled density\n exponent', fontsize=12) ax_5.text(-0.2, 1, 'f)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_5.spines['top'].set_visible(False) ax_5.spines['right'].set_visible(False) cax = fig.add_axes([0.95, 0.15, 0.05, 0.7]) cbar = fig.colorbar(axim, cax=cax, orientation='vertical', ticks=vtick) cbar.set_label("Cumulative %\n prevalence", fontsize=12) cbar.outline.set_visible(False) axim = ax_0.contour(100 * baseline_end_array, colors='w', levels=vtick, vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1)) ax_0.clabel(axim, fontsize=9, inline=1, fmt='%1.1f') ax_0.set_ylabel('Single household\n density exponent', fontsize=12) ax_0.text(-0.5, 1, 'a)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_0.spines['top'].set_visible(False) ax_0.spines['right'].set_visible(False) axim = ax_1.contour(100 * end_data0, colors='w', levels=vtick, vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1)) ax_1.clabel(axim, fontsize=9, inline=1, fmt='%1.1f') ax_1.text(-0.2, 1, 'b)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_1.spines['top'].set_visible(False) ax_1.spines['right'].set_visible(False) axim = ax_2.contour(100 * end_data2, colors='w', levels=vtick, vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1)) ax_2.clabel(axim, fontsize=9, inline=1, fmt='%1.1f') ax_2.set_ylabel('Single household\n density exponent', fontsize=12) ax_2.text(-0.5, 1, 'c)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_2.spines['top'].set_visible(False) ax_2.spines['right'].set_visible(False) axim = ax_3.contour(100 * end_data1, colors='w', levels=vtick, vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1)) ax_3.clabel(axim, fontsize=9, inline=1, fmt='%1.1f') ax_3.text(-0.2, 1, 'd)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_3.spines['top'].set_visible(False) ax_3.spines['right'].set_visible(False) axim = ax_4.contour(100 * end_data4, colors='w', levels=vtick, vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1)) ax_4.clabel(axim, fontsize=9, inline=1, fmt='%1.1f') ax_4.set_ylabel('Single household\n density exponent', fontsize=12) ax_4.set_xlabel('Bubbled density\n exponent', fontsize=12) ax_4.text(-0.5, 1, 'e)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_4.spines['top'].set_visible(False) ax_4.spines['right'].set_visible(False) axim = ax_5.contour(100 * end_data3, colors='w', levels=vtick, vmin=vmin, vmax=vmax, extent=(0, 1, 0, 1)) ax_5.clabel(axim, fontsize=9, inline=1, fmt='%1.1f') ax_5.set_xlabel('Bubbled density\n exponent', fontsize=12) ax_5.text(-0.2, 1, 'f)', fontsize=12, verticalalignment='top', fontfamily='serif', bbox=dict(facecolor='1', edgecolor='none', pad=3.0)) ax_5.spines['top'].set_visible(False) ax_5.spines['right'].set_visible(False) fig.savefig('plots/temp_bubbles/cum_prev_grid.png',bbox_inches='tight', dpi=300) close()

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1

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null

0

7

f0abab9d4dce346c3bf53097534446ca9522245b

344

py

Python

tests/test_smoke.py

sandorex/extract-browser-data.py

f2b2a60b9af2f7331e09167abf0b8c6cd6e534d0

[ "Apache-2.0" ]

null

tests/test_smoke.py

sandorex/extract-browser-data.py

f2b2a60b9af2f7331e09167abf0b8c6cd6e534d0

[ "Apache-2.0" ]

7

2020-04-05T19:39:24.000Z

2020-04-15T18:55:04.000Z

tests/test_smoke.py

sandorex/extract-browser-data.py

f2b2a60b9af2f7331e09167abf0b8c6cd6e534d0

[ "Apache-2.0" ]

null

import pytest def test_ff_smoke(): pass @pytest.mark.reading def test_ff_reading_smoke(): pass @pytest.mark.writing def test_ff_writing_smoke(): pass def test_ch_smoke(): pass @pytest.mark.reading def test_ch_reading_smoke(): pass @pytest.mark.writing def test_ch_writing_smoke(): pass def test_smoke(): pass

10.117647

28

0.723837

52

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7

9bce6a2b4e6803c11e5214febb8b6f6ef8ea4050

762

py

Python

Exercices/20200425 Turtle Polygone.py

FredC94/MOOC-Python3

bb8d15fabc5c0cb240198f968aed4be0d3e0900b

[ "MIT" ]

null

Exercices/20200425 Turtle Polygone.py

FredC94/MOOC-Python3

bb8d15fabc5c0cb240198f968aed4be0d3e0900b

[ "MIT" ]

null

Exercices/20200425 Turtle Polygone.py

FredC94/MOOC-Python3

bb8d15fabc5c0cb240198f968aed4be0d3e0900b

[ "MIT" ]

null

import turtle turtle.up() turtle.shape('turtle') turtle.goto(0,0) turtle.color('black') turtle.down() turtle.begin_fill() turtle.forward(100) turtle.right(120) turtle.forward(100) turtle.right(60) turtle.forward(100) turtle.right(120) turtle.forward(100) turtle.end_fill() turtle.up() turtle.shape('turtle') turtle.goto(100,0) turtle.color('blue') turtle.down() turtle.begin_fill() turtle.left(60) turtle.forward(100) turtle.left(60) turtle.forward(100) turtle.left(120) turtle.forward(100) turtle.end_fill() turtle.up() turtle.shape('turtle') turtle.color('red') turtle.down() turtle.begin_fill() turtle.left(180) turtle.forward(100) turtle.left(120) turtle.forward(100) turtle.left(60) turtle.forward(100) turtle.end_fill() turtle.hideturtle() turtle.done()

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8

ac9e473f3a6bd342f89ff560c12530fd595cd59b

20,398

py

Python

PetriDish.py

AkandaAshraf/VirtualSoc

b2e78b9816d9a30e321e3e8ccd2b4cc78eddbff3

[ "MIT" ]

16

2019-05-23T02:36:06.000Z

2022-02-04T16:29:37.000Z

PetriDish.py

AkandaAshraf/VirtualSoc

b2e78b9816d9a30e321e3e8ccd2b4cc78eddbff3

[ "MIT" ]

null

PetriDish.py

AkandaAshraf/VirtualSoc

b2e78b9816d9a30e321e3e8ccd2b4cc78eddbff3

[ "MIT" ]

3

2019-05-23T02:36:12.000Z

2019-06-16T18:21:10.000Z

from Node import * from DNA import * import Networks import numpy as np #All methods here are to generate Nodes def createSimpleNodes( numberOfNodes, nodeType, DNA, Graph): ''' This method generate simplest type of Nodes. No features are added. :param numberOfNodes: The total number of nodes to be generated. Integer :param nodeType: Class type of the Node, Node . Class name. Not to be passed as a string but the name only :param DNA: The DNA object :param Graph: Graph type object. All generated nodes must be contained within a graph to enable socialisation. :return: list of Node type objects ''' return [ nodeType(DNA,Graph=Graph) for i in range(numberOfNodes)] def createSocialNodesThreeFeatures( numberOfNodes, nodeType, DNA,commonLabel, Graph): ''' This method generates NodeSocial type of nodes with three basic auto-generated features. :param numberOfNodes: numberOfNodes: The total number of nodes to be generated. Integer :param nodeType: The Node type must be NodeSocial or more advanced child class of Node but not Node. Class name. Not to be passed as a string but the name only :param DNA: The DNA object. :param commonLabel: Label of the generated objects. EVery Node objects refers to one signle DNA object. And that DNA object defines label of the nodes. In this method label is not auto generated and must be passed in this param. :param Graph: Graph type object. All generated nodes must be contained within a graph to enable socialisation. :return: list of NodeSocial or more advanced type of objects ''' age = np.random.randint(18, high=65, size=numberOfNodes) gender = np.random.randint(0, high=2, size=numberOfNodes) location = np.random.randint(1, high=100, size=numberOfNodes) # if len(DNA)!=numberOfNodes: # label = DNA # else: # location = np.random.randint(1, high=100, size=numberOfNodes) return [ nodeType(age=age[i], gender=gender[i], location=location[i], label=commonLabel, DNA=DNA, Graph=Graph) for i in range(numberOfNodes)] def createSocialNodesNFeatures(numberOfNodes, nodeType, DNA, commonLabel, Graph, additionalFeatureLen, addTraidtionalFeatures, npDistFunc): ''' :param numberOfNodes: The total number of nodes to be generated. Integer :param nodeType: The Node type must be NodeSocial or more advanced child class of Node but not Node. Class name. Not to be passed as a string but the name only :param DNA: DNA object :param commonLabel: Label of the generated objects. EVery Node objects refers to one signle DNA object. And that DNA object defines label of the nodes. In this method label is not auto generated and must be passed in this param. :param Graph: Graph type object. All generated nodes must be contained within a graph to enable socialisation. :param additionalFeatureLen: Number of additional features other than age, gender, and location. Integer :param addTraidtionalFeatures: Whether or not to add than age, gender, and location features by default. True/False :param npDistFunc: Distribution of additional features. Usually a numpy method as a string. Do not define the size of the generated numbers. Include package name i.e. numpy/np. If it's not a numpy method but if it's an user written method then make sure it contains an integer param named size which is used to get the number of random numbers. :return: list of NodeSocial or more advanced type of objects ''' featuresAgeGenderLocation = [] features = [] if addTraidtionalFeatures: featuresAgeGenderLocation.append(np.random.randint(18, high=80, size=numberOfNodes)) featuresAgeGenderLocation.append(np.random.randint(0, high=2, size=numberOfNodes)) featuresAgeGenderLocation.append(np.random.randint(1, high=100, size=numberOfNodes)) if npDistFunc is not None: if not isinstance(npDistFunc, list): for i in range(0, additionalFeatureLen): # if npDistFunc is None: # features.append(np.random.randint(0, high=100, size=numberOfNodes)) # elif npDistFunc is not None: l = len(npDistFunc) #npDistFunc=npDistFunc[:l-2] + 'size=' +numberOfNodes+ npDistFunc[l-2:] features.append(eval(npDistFunc[:l-1] + ',size=' +str(numberOfNodes)+ npDistFunc[l-1:])) elif len(npDistFunc)==additionalFeatureLen: for ndf in npDistFunc: l = len(ndf) features.append(eval(ndf[:l - 1] + ',size=' + str(numberOfNodes) + ndf[l - 1:])) # features.append(ndf) else: randIntIndexnpDistFunc= np.random.randint(low=0, high=len(npDistFunc), size=additionalFeatureLen) for index in randIntIndexnpDistFunc: npDistFuncTemp = npDistFunc[index] l = len(npDistFuncTemp) features.append(eval(npDistFuncTemp[:l - 1] + ',size=' + str(numberOfNodes) + npDistFuncTemp[l - 1:])) featuresNP=np.array(features) # if len(DNA)!=numberOfNodes: # label = DNA # else: # location = np.random.randint(1, high=100, size=numberOfNodes) if addTraidtionalFeatures and additionalFeatureLen >0: return [ nodeType(age=featuresAgeGenderLocation[0][i], gender=featuresAgeGenderLocation[1][i], location=featuresAgeGenderLocation[2][i], label=commonLabel, DNA=DNA, Graph=Graph, additionalFeatures= featuresNP[:,i]) for i in range(numberOfNodes)] elif addTraidtionalFeatures and additionalFeatureLen ==0: return [nodeType(age=featuresAgeGenderLocation[0][i], gender=featuresAgeGenderLocation[1][i], location=featuresAgeGenderLocation[2][i], label=commonLabel, DNA=DNA, Graph=Graph) for i in range(numberOfNodes)] elif not addTraidtionalFeatures and additionalFeatureLen >0: return [nodeType( label=commonLabel, DNA=DNA, Graph=Graph, additionalFeatures=featuresNP[:, i]) for i in range(numberOfNodes)] def createSocialNodesNFeaturesSameDist(numberOfNodes, nodeType, dna, Graph, additionalFeatureLen, addTraidtionalFeatures, npDistFunc,labelSplit,DnaObjType): ''' :param numberOfNodes: The total number of nodes to be generated. Integer :param nodeType: he Node type must be NodeSocial or more advanced child class of Node but not Node. Class name. Not to be passed as a string but the name only :param dna: 'auto' , string. This is different from other methods of generating nodes. This is because here labels and DNA's are generated implicitly within the method. :param Graph: Graph type object. All generated nodes must be contained within a graph to enable socialisation. :param additionalFeatureLen: Number of additional features other than age, gender, and location. Integer :param addTraidtionalFeatures: Whether or not to add than age, gender, and location features by default. True/False :param npDistFunc: Distribution of additional features. Usually a numpy method as a string. Do not define the size of the generated numbers. Include package name i.e. numpy/np. If it's not a numpy method but if it's an user written method then make sure it contains an integer param named size which is used to get the number of random numbers. :param labelSplit: the split of lablel passed as a vector or single integer number. For example, if it's [10 , 20, 30] then 30 nodes will be generated and first 10 nodes will have DNA object 1, 2nd snd DNA object and 3rd will have DNA object 3. In this function DNA objects are auto generated and assigned. These DNA also correspond to the label of nodes. So, the first 10 Nodes will have label 0, 2nd 10 label 1 , and finally 3rd 10 nodes will have label 2. If you want each node to have a distinct DNA and label then pass a vector such as [1,2,3,.....,28,29] :param DnaObjType: DNA class name, DNA or any other advanced DNA class. Single name passed not as a string but name of the class :return: list of NodeSocial or more advanced type of objects ''' featuresAgeGenderLocation = [] features = [] featureLen = 0 if addTraidtionalFeatures: featuresAgeGenderLocation.append(np.random.randint(18, high=80, size=numberOfNodes)) featuresAgeGenderLocation.append(np.random.randint(0, high=2, size=numberOfNodes)) featuresAgeGenderLocation.append(np.random.randint(1, high=100, size=numberOfNodes)) featureLen=len(featuresAgeGenderLocation)+featureLen if npDistFunc is not None: if not isinstance(npDistFunc, list): for i in range(0, additionalFeatureLen): # if npDistFunc is None: # features.append(np.random.randint(0, high=100, size=numberOfNodes)) # elif npDistFunc is not None: l = len(npDistFunc) # npDistFunc=npDistFunc[:l-2] + 'size=' +numberOfNodes+ npDistFunc[l-2:] features.append(eval(npDistFunc[:l - 1] + ',size=' + str(numberOfNodes) + npDistFunc[l - 1:])) elif len(npDistFunc) == additionalFeatureLen: for ndf in npDistFunc: l = len(ndf) features.append(eval(ndf[:l - 1] + ',size=' + str(numberOfNodes) + ndf[l - 1:])) # features.append(ndf) else: randIntIndexnpDistFunc = np.random.randint(low=0, high=len(npDistFunc), size=additionalFeatureLen) for index in randIntIndexnpDistFunc: npDistFuncTemp = npDistFunc[index] l = len(npDistFuncTemp) features.append( eval(npDistFuncTemp[:l - 1] + ',size=' + str(numberOfNodes) + npDistFuncTemp[l - 1:])) featuresNP = np.array(features) featureLen=len(features)+featureLen # if len(DNA)!=numberOfNodes: # label = DNA # else: # location = np.random.randint(1, high=100, size=numberOfNodes) N = [] tempN = [] DNAlist = [] # DNASpreadIndex = np.empty(labelSplit[-1]) # startIndexTemp = 0 # # np.full(i, labelSplit[i]) # for i in range(0, len(labelSplit)): # DNASpreadIndex[startIndexTemp:labelSplit[i]]= i # startIndexTemp = labelSplit[i] # np.random.shuffle(DNASpreadIndex) # np.random.shuffle(DNASpreadIndex) # np.random.shuffle(DNASpreadIndex) # np.random.shuffle(DNASpreadIndex) # np.random.shuffle(DNASpreadIndex) for i in range(0, len(labelSplit)): DNAlist.append(DnaObjType(dna, len=featureLen,useGPU=Graph._useGPU,createInGPUMem=Graph.createInGPUMem)) if i ==0: startingIndex = 0 endingIndex = labelSplit[i] - 1 else: endingIndex = labelSplit[i] - 1 if addTraidtionalFeatures and additionalFeatureLen > 0: tempN = [nodeType(age=featuresAgeGenderLocation[0][j], gender=featuresAgeGenderLocation[1][j], location=featuresAgeGenderLocation[2][j], label=i, DNA=DNAlist[i], Graph=Graph, additionalFeatures=featuresNP[:, j]) for j in range(startingIndex,endingIndex+1)] elif addTraidtionalFeatures and additionalFeatureLen == 0: tempN = [nodeType(age=featuresAgeGenderLocation[0][j], gender=featuresAgeGenderLocation[1][j], location=featuresAgeGenderLocation[2][j], label=i, DNA=DNAlist[j], Graph=Graph) for j in range(startingIndex,endingIndex+1)] elif not addTraidtionalFeatures and additionalFeatureLen > 0: tempN = [nodeType(label=i, DNA=DNAlist[i], Graph=Graph, additionalFeatures=featuresNP[:, j]) for j in range(startingIndex, endingIndex + 1)] startingIndex = labelSplit[i] N = [*N, *tempN] DNAlist[-1]._assignedNodes(tempN) Graph.DNA = DNAlist return N def createSocialNodesNFeaturesSameDistWithDNAShuffled(numberOfNodes, nodeType, dna, Graph, additionalFeatureLen, addTraidtionalFeatures, npDistFunc,labelSplit,DnaObjType): ''' :param numberOfNodes: The total number of nodes to be generated. Integer :param nodeType: he Node type must be NodeSocial or more advanced child class of Node but not Node. Class name. Not to be passed as a string but the name only :param dna: 'auto' , string. This is different from other methods of generating nodes. This is because here labels and DNA's are generated implicitly within the method. :param Graph: Graph type object. All generated nodes must be contained within a graph to enable socialisation. :param additionalFeatureLen: Number of additional features other than age, gender, and location. Integer :param addTraidtionalFeatures: Whether or not to add than age, gender, and location features by default. True/False :param npDistFunc: Distribution of additional features. Usually a numpy method as a string. Do not define the size of the generated numbers. Include package name i.e. numpy/np. If it's not a numpy method but if it's an user written method then make sure it contains an integer param named size which is used to get the number of random numbers. :param labelSplit: the split of lablel passed as a vector or single integer number. For example, if it's [10 , 20, 30] then 30 nodes will be generated and first 10 nodes will have DNA object 1, 2nd snd DNA object and 3rd will have DNA object 3. In this function DNA objects are auto generated and assigned. These DNA also correspond to the label of nodes. So, the first 10 Nodes will have label 0, 2nd 10 label 1 , and finally 3rd 10 nodes will have label 2. If you want each node to have a distinct DNA and label then pass a vector such as [1,2,3,.....,28,29] :param DnaObjType: DNA class name, DNA or any other advanced DNA class. Single name passed not as a string but name of the class :return: list of NodeSocial or more advanced type of objects ''' featuresAgeGenderLocation = [] features = [] featureLen = 0 if addTraidtionalFeatures: featuresAgeGenderLocation.append(np.random.randint(18, high=80, size=numberOfNodes)) featuresAgeGenderLocation.append(np.random.randint(0, high=2, size=numberOfNodes)) featuresAgeGenderLocation.append(np.random.randint(1, high=100, size=numberOfNodes)) featureLen=len(featuresAgeGenderLocation)+featureLen if npDistFunc is not None: if not isinstance(npDistFunc, list): for i in range(0, additionalFeatureLen): # if npDistFunc is None: # features.append(np.random.randint(0, high=100, size=numberOfNodes)) # elif npDistFunc is not None: l = len(npDistFunc) # npDistFunc=npDistFunc[:l-2] + 'size=' +numberOfNodes+ npDistFunc[l-2:] features.append(eval(npDistFunc[:l - 1] + ',size=' + str(numberOfNodes) + npDistFunc[l - 1:])) elif len(npDistFunc) == additionalFeatureLen: for ndf in npDistFunc: l = len(ndf) features.append(eval(ndf[:l - 1] + ',size=' + str(numberOfNodes) + ndf[l - 1:])) # features.append(ndf) else: randIntIndexnpDistFunc = np.random.randint(low=0, high=len(npDistFunc), size=additionalFeatureLen) for index in randIntIndexnpDistFunc: npDistFuncTemp = npDistFunc[index] l = len(npDistFuncTemp) features.append( eval(npDistFuncTemp[:l - 1] + ',size=' + str(numberOfNodes) + npDistFuncTemp[l - 1:])) featuresNP = np.array(features) featureLen=len(features)+featureLen # if len(DNA)!=numberOfNodes: # label = DNA # else: # location = np.random.randint(1, high=100, size=numberOfNodes) N = [] tempN = [] DNAlist = [] DNASpreadIndex = np.empty(labelSplit[-1],dtype=int) startIndexTemp = 0 # np.full(i, labelSplit[i]) for i in range(0, len(labelSplit)): DNASpreadIndex[startIndexTemp:labelSplit[i]]= i startIndexTemp = labelSplit[i] DNAlist.append(DnaObjType(dna, len=featureLen,useGPU=Graph._useGPU,createInGPUMem=Graph.createInGPUMem)) np.random.shuffle(DNASpreadIndex) np.random.shuffle(DNASpreadIndex) np.random.shuffle(DNASpreadIndex) np.random.shuffle(DNASpreadIndex) np.random.shuffle(DNASpreadIndex) for i in range(0, len(labelSplit)): print('generating nodes with: '+str(featureLen)+ 'features each') if i ==0: startingIndex = 0 endingIndex = labelSplit[i] - 1 else: endingIndex = labelSplit[i] - 1 if addTraidtionalFeatures and additionalFeatureLen > 0: for j in range(startingIndex, endingIndex + 1): tempN.append(nodeType(age=featuresAgeGenderLocation[0][j], gender=featuresAgeGenderLocation[1][j], location=featuresAgeGenderLocation[2][j], label=DNASpreadIndex[j], DNA=DNAlist[DNASpreadIndex[j]], Graph=Graph, additionalFeatures=featuresNP[:, j])) DNAlist[DNASpreadIndex[j]]._assignedNode(tempN[-1]) elif addTraidtionalFeatures and additionalFeatureLen == 0: for j in range(startingIndex,endingIndex+1): tempN.append(nodeType(age=featuresAgeGenderLocation[0][j], gender=featuresAgeGenderLocation[1][j], location=featuresAgeGenderLocation[2][j], label=DNASpreadIndex[j], DNA=DNAlist[DNASpreadIndex[j]], Graph=Graph)) DNAlist[DNASpreadIndex[j]]._assignedNode(tempN[-1]) elif not addTraidtionalFeatures and additionalFeatureLen > 0: for j in range(startingIndex, endingIndex + 1): tempN.append(nodeType(label=DNASpreadIndex[j], DNA=DNAlist[DNASpreadIndex[j]], Graph=Graph, additionalFeatures=featuresNP[:, j])) DNAlist[DNASpreadIndex[j]]._assignedNode(tempN[-1]) startingIndex = labelSplit[i] N = [*N, *tempN] tempN = [] Graph.DNA = DNAlist return N # test = PetriDish.createSimpleNodes(PetriDish,numberOfNodes=5,nodeType=Node,DNA='auto',Graph=Networks.RandomSocialGraph()) # a = 2+3

62.189024

259

0.611923

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0.026451

0.01058

0.936037

0.927942

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0.903655

0.897082

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0

0.015584

0.307922

20,398

327

260

62.379205

0.868173

0.380626

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1

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0

1

0.030488

false

0

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0

null

0

1

0

1

0

null

0

8

acb6cf47edb8df9e09fc481946db0f98b7414604

122

py

Python

WH_Utils/__init__.py

WealtHawk-prod/WH_Utils

713b464a4a0971c8d5bc9bebc2e68f129ec65a4c

[ "Apache-2.0" ]

null

WH_Utils/__init__.py

WealtHawk-prod/WH_Utils

713b464a4a0971c8d5bc9bebc2e68f129ec65a4c

[ "Apache-2.0" ]

null

WH_Utils/__init__.py

WealtHawk-prod/WH_Utils

713b464a4a0971c8d5bc9bebc2e68f129ec65a4c

[ "Apache-2.0" ]

null

from WH_Utils.External import * from WH_Utils.Objects import * from WH_Utils.Utils.global_utils import * "this is a test"

24.4

41

0.795082

21

122

4.428571

0.52381

0.193548

0.354839

0.365591

0

0.131148

122

4

42

30.5

0.877358

0

0.114754

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1

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true

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0

null

0

1

0

1

0

1

0

7

acb75e3a3748fb96d65e520aa1ccd3f825dc34b2

106

py

Python

2_uzd.py

JanisRatnieksGitHub/eksamens_JR

5d7b1beb94ba8938c3279bb7a15f506c12bf6e3c

[ "MIT" ]

null

2_uzd.py

JanisRatnieksGitHub/eksamens_JR

5d7b1beb94ba8938c3279bb7a15f506c12bf6e3c

[ "MIT" ]

null

2_uzd.py

JanisRatnieksGitHub/eksamens_JR

5d7b1beb94ba8938c3279bb7a15f506c12bf6e3c

[ "MIT" ]

null

import sys print("Python version") print (sys.version) # print("Version info.") # print (sys.version_info)

21.2

26

0.735849

15

106

5.133333

0.4

0.311688

0.38961

0

0.103774

106

5

26

21.2

0.810526

0.443396

0

0.245614

0

1

0

true

0

0.333333

0

0.333333

0.666667

1

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null

0

1

0

1

0

1

0

7

c5bf5074b459f0f4b292bf569f9ec8318ec0ca9d

5,137

py

Python

uri/1682.py

italo-batista/problems-solving

f83ad34f0abebd52925c4020635556f20743ba06

[ "MIT" ]

null

uri/1682.py

italo-batista/problems-solving

f83ad34f0abebd52925c4020635556f20743ba06

[ "MIT" ]

null

uri/1682.py

italo-batista/problems-solving

f83ad34f0abebd52925c4020635556f20743ba06

[ "MIT" ]

null

sequence = "NONPNOPNPONOPNONPNOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPONPNONPONOPNONPNOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPOPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNPOPNONPNOPNPONOPNONPNOPNPOPNONPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNPOPNONPNOPNPONOPNONPNOPNPOPNONPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPONPNONPONOPNONPNOPNPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPOPNONPNOPNPONOPNONPNOPNPOPNONPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNPOPNONPNOPNPONOPNONPNOPNPOPNONPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPOPNONPNOPNPONOPNONPNOPNPOPNONPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPONPNONPONOPNONPNOPNPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPOPNONPNOPNPONOPNONPNOPNPOPNONPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNPOPNONPNOPNPONOPNONPNOPNPOPNONPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPOPNONPNOPNPONOPNONPNOPNPOPNONPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNOPNPONOPNONPNOPNPONOPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPONPNONPONOPNONPNOPNPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPOPNONPNOPNPONOPNONPNOPNPOPNONPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNPOPNONPNOPNPONOPNONPNOPNPOPNONPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPOPNONPNOPNPONOPNONPNOPNPOPNONPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPONPNONPONOPNONPNOPNPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPOPNOPONOPNONPNOPNPONOPNONPNOPONOPNONPONOPNPONPNONPONOPNONPNOPNPONOPNONPONOPNPONPNONPONOPNONPNOPONOPNONPONOPNPOPNONPNOPNPONOPNONPNOPNPOPNONPNOP" n = input() while n != 0: try: genome = sequence[:n] print genome n = input() except Exception: break

321.0625

5,013

0.988125

18

5,137

282

0.666667

0.002364

0

0.000196

0.008371

5,137

15

5,014

342.466667

0.99627

0

0.222222

0

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null

0

null

0.111111

1

0

1

null

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null

1

0

1

0

8

c5fcd305519f610e8aad783a00e501992e4a4440

21,409

py

Python

tests/extensions/aria_extension_tosca/simple_v1_0/templates/common/test_template_parameters.py

tnadeau/incubator-ariatosca

de32028783969bc980144afa3c91061c7236459c

[ "Apache-2.0" ]

null

tests/extensions/aria_extension_tosca/simple_v1_0/templates/common/test_template_parameters.py

tnadeau/incubator-ariatosca

de32028783969bc980144afa3c91061c7236459c

[ "Apache-2.0" ]

null

tests/extensions/aria_extension_tosca/simple_v1_0/templates/common/test_template_parameters.py

tnadeau/incubator-ariatosca

de32028783969bc980144afa3c91061c7236459c

[ "Apache-2.0" ]

1

2020-06-16T15:13:06.000Z

# -*- coding: utf-8 -*- # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ Unified testing for properties, attributes, and inputs. Additional tests for properties are in test_template_properties.py. """ import pytest from ... import data from ......mechanisms.utils import matrix # Assigning to parameters defined at a type MAIN_MACROS = """ {% macro additions() %} {%- endmacro %} {% macro type_parameters() %} {{ parameter_section }}: {{ caller()|indent(6) }} {%- endmacro %} {% macro parameters() %} {{ parameter_section }}: {{ caller()|indent(8) }} {%- endmacro %} """ # Assigning to parameters defined at a capability type CAPABILITY_MACROS = """ {% macro additions() %} {%- endmacro %} {% macro type_parameters() %} capabilities: my_capability: type: MyType capability_types: MyType: {{ parameter_section }}: {{ caller()|indent(6) }} {%- endmacro %} {% macro parameters() %} capabilities: my_capability: {{ parameter_section }}: {{ caller()|indent(12) }} {%- endmacro %} """ # Assigning to parameters defined at an artifact type ARTIFACT_MACROS = """ {% macro additions() %} {%- endmacro %} {% macro type_parameters() %} {} artifact_types: MyType: {{ parameter_section }}: {{ caller()|indent(6) }} {%- endmacro %} {% macro parameters() %} artifacts: my_artifact: type: MyType file: a file {{ parameter_section }}: {{ caller()|indent(12) }} {%- endmacro %} """ # Assigning to inputs defined at an interface type INTERFACE_MACROS = """ {% macro additions() %} {%- endmacro %} {% macro type_parameters() %} interfaces: MyInterface: type: MyType interface_types: MyType: {{ parameter_section }}: {{ caller()|indent(6) }} {%- endmacro %} {% macro parameters() %} interfaces: MyInterface: {{ parameter_section }}: {{ caller()|indent(12) }} {%- endmacro %} """ # Assigning to inputs defined at an operation of an interface type OPERATION_MACROS = """ {% macro additions() %} {%- endmacro %} {% macro type_parameters() %} interfaces: MyInterface: type: MyType interface_types: MyType: my_operation: {{ parameter_section }}: {{ caller()|indent(8) }} {%- endmacro %} {% macro parameters() %} interfaces: MyInterface: my_operation: {{ parameter_section }}: {{ caller()|indent(14) }} {%- endmacro %} """ # Assigning to inputs defined (added/overridden) at an interface of the template's type LOCAL_INTERFACE_MACROS = """ {% macro additions() %} interface_types: MyType: {} {%- endmacro %} {% macro type_parameters() %} interfaces: MyInterface: type: MyType {{ parameter_section }}: {{ caller()|indent(10) }} {%- endmacro %} {% macro parameters() %} interfaces: MyInterface: {{ parameter_section }}: {{ caller()|indent(12) }} {%- endmacro %} """ # Assigning to inputs defined (added/overridden) at an operation of an interface of the template's # type LOCAL_OPERATION_MACROS = """ {% macro additions() %} interface_types: MyType: {} {%- endmacro %} {% macro type_parameters() %} interfaces: MyInterface: type: MyType my_operation: {{ parameter_section }}: {{ caller()|indent(12) }} {%- endmacro %} {% macro parameters() %} interfaces: MyInterface: my_operation: {{ parameter_section }}: {{ caller()|indent(14) }} {%- endmacro %} """ # At a relationship of a node template, assigning to parameters defined at a relationship type RELATIONSHIP_TYPE_MACROS = """ {% macro additions() %} capability_types: MyType: {} interface_types: MyType: {} {%- endmacro %} {% macro type_parameters() %} requirements: - my_requirement: capability: MyType relationship: type: MyType relationship_types: MyType: {{ parameter_section }}: {{ caller()|indent(6) }} {%- endmacro %} {% macro parameters() %} requirements: - my_requirement: relationship: {{ parameter_section }}: {{ caller()|indent(16) }} {%- endmacro %} """ # At a relationship of a node template, assigning to inputs defined at an interface type RELATIONSHIP_INTERFACE_MACROS = """ {% macro additions() %} capability_types: MyType: {} relationship_types: MyType: {} {%- endmacro %} {% macro type_parameters() %} requirements: - my_requirement: capability: MyType relationship: type: MyType interfaces: MyInterface: type: MyType interface_types: MyType: {{ parameter_section }}: {{ caller()|indent(8) }} {%- endmacro %} {% macro parameters() %} requirements: - my_requirement: relationship: interfaces: MyInterface: {{ parameter_section }}: {{ caller()|indent(20) }} {%- endmacro %} """ # At a relationship of a node template, assigning to inputs defined at an operation of an interface # type RELATIONSHIP_OPERATION_MACROS = """ {% macro additions() %} capability_types: MyType: {} relationship_types: MyType: {} {%- endmacro %} {% macro type_parameters() %} requirements: - my_requirement: capability: MyType relationship: type: MyType interfaces: MyInterface: type: MyType interface_types: MyType: my_operation: {{ parameter_section }}: {{ caller()|indent(10) }} {%- endmacro %} {% macro parameters() %} requirements: - my_requirement: relationship: interfaces: MyInterface: my_operation: {{ parameter_section }}: {{ caller()|indent(22) }} {%- endmacro %} """ # At a relationship of a node template, assigning to inputs defined (added/overridden) at an # interface of a relationship type RELATIONSHIP_TYPE_INTERFACE_MACROS = """ {% macro additions() %} capability_types: MyType: {} interface_types: MyType: {} {%- endmacro %} {% macro type_parameters() %} requirements: - my_requirement: capability: MyType relationship: type: MyType relationship_types: MyType: interfaces: MyInterface: type: MyType {{ parameter_section }}: {{ caller()|indent(10) }} {%- endmacro %} {% macro parameters() %} requirements: - my_requirement: relationship: interfaces: MyInterface: {{ parameter_section }}: {{ caller()|indent(20) }} {%- endmacro %} """ # At a relationship of a node template, assigning to inputs defined (added/overridden) at an # operation of an interface of a relationship type RELATIONSHIP_TYPE_OPERATION_MACROS = """ {% macro additions() %} capability_types: MyType: {} interface_types: MyType: {} {%- endmacro %} {% macro type_parameters() %} requirements: - my_requirement: capability: MyType relationship: type: MyType relationship_types: MyType: interfaces: MyInterface: type: MyType my_operation: {{ parameter_section }}: {{ caller()|indent(12) }} {%- endmacro %} {% macro parameters() %} requirements: - my_requirement: relationship: interfaces: MyInterface: my_operation: {{ parameter_section }}: {{ caller()|indent(22) }} {%- endmacro %} """ # At a relationship of a node template, assigning to inputs defined (added/overridden) at an # interface of the relationship of the node type RELATIONSHIP_LOCAL_INTERFACE_MACROS = """ {% macro additions() %} capability_types: MyType: {} relationship_types: MyType: {} interface_types: MyType: {} {%- endmacro %} {% macro type_parameters() %} requirements: - my_requirement: capability: MyType relationship: type: MyType interfaces: MyInterface: type: MyType {{ parameter_section }}: {{ caller()|indent(18) }} {%- endmacro %} {% macro parameters() %} requirements: - my_requirement: relationship: interfaces: MyInterface: {{ parameter_section }}: {{ caller()|indent(20) }} {%- endmacro %} """ # At a relationship of a node template, assigning to inputs defined (added/overridden) at an # operation of an interface of the relationship of the node type RELATIONSHIP_LOCAL_OPERATION_MACROS = """ {% macro additions() %} capability_types: MyType: {} relationship_types: MyType: {} interface_types: MyType: {} {%- endmacro %} {% macro type_parameters() %} requirements: - my_requirement: capability: MyType relationship: type: MyType interfaces: MyInterface: type: MyType my_operation: {{ parameter_section }}: {{ caller()|indent(20) }} {%- endmacro %} {% macro parameters() %} requirements: - my_requirement: relationship: interfaces: MyInterface: my_operation: {{ parameter_section }}: {{ caller()|indent(22) }} {%- endmacro %} """ MACROS = { 'main': MAIN_MACROS, 'capability': CAPABILITY_MACROS, 'artifact': ARTIFACT_MACROS, 'interface': INTERFACE_MACROS, 'operation': OPERATION_MACROS, 'local-interface': LOCAL_INTERFACE_MACROS, 'local-operation': LOCAL_OPERATION_MACROS, 'relationship-type': RELATIONSHIP_TYPE_MACROS, 'relationship-interface': RELATIONSHIP_INTERFACE_MACROS, 'relationship-operation': RELATIONSHIP_OPERATION_MACROS, 'relationship-type-interface': RELATIONSHIP_TYPE_INTERFACE_MACROS, 'relationship-type-operation': RELATIONSHIP_TYPE_OPERATION_MACROS, 'relationship-local-interface': RELATIONSHIP_LOCAL_INTERFACE_MACROS, 'relationship-local-operation': RELATIONSHIP_LOCAL_OPERATION_MACROS } PERMUTATIONS = ( ('main', 'node', 'properties'), ('main', 'node', 'attributes'), ('main', 'group', 'properties'), ('main', 'relationship', 'properties'), ('main', 'relationship', 'attributes'), ('main', 'policy', 'properties'), ('capability', 'node', 'properties'), ('capability', 'node', 'attributes'), ('artifact', 'node', 'properties'), ('interface', 'node', 'inputs'), ('interface', 'group', 'inputs'), ('interface', 'relationship', 'inputs'), ('operation', 'node', 'inputs'), ('operation', 'group', 'inputs'), ('operation', 'relationship', 'inputs'), ('local-interface', 'node', 'inputs'), ('local-interface', 'group', 'inputs'), ('local-interface', 'relationship', 'inputs'), ('local-operation', 'node', 'inputs'), ('local-operation', 'group', 'inputs'), ('local-operation', 'relationship', 'inputs'), ('relationship-type', 'node', 'properties'), ('relationship-interface', 'node', 'inputs'), #('relationship-operation', 'node', 'inputs'), # fix ('relationship-type-interface', 'node', 'inputs'), ('relationship-type-operation', 'node', 'inputs'), # fix ('relationship-local-interface', 'node', 'inputs'), #('relationship-operation', 'node', 'inputs'), # fix ) # Parameters section @pytest.mark.parametrize('macros,name,parameter_section,value', matrix( PERMUTATIONS, data.NOT_A_DICT, counts=(3, 1) )) def test_template_parameters_section_syntax_type(parser, macros, name, parameter_section, value): parser.parse_literal(MACROS[macros] + """ tosca_definitions_version: tosca_simple_yaml_1_0 {{- additions() }} {{ name }}_types: MyType: {%- call type_parameters() -%} {} {% endcall %} topology_template: {{ section }}: my_template: type: MyType {%- call parameters() -%} {{ value }} {% endcall %} """, dict(name=name, section=data.TEMPLATE_NAME_SECTIONS[name], parameter_section=parameter_section, value=value)).assert_failure() @pytest.mark.parametrize('macros,name,parameter_section', PERMUTATIONS) def test_template_parameters_section_syntax_empty(parser, macros, name, parameter_section): parser.parse_literal(MACROS[macros] + """ tosca_definitions_version: tosca_simple_yaml_1_0 {{- additions() }} {{ name }}_types: MyType: {%- call type_parameters() -%} {} {% endcall %} topology_template: {{ section }}: my_template: type: MyType {%- call parameters() -%} {} {% endcall %} """, dict(name=name, section=data.TEMPLATE_NAME_SECTIONS[name], parameter_section=parameter_section)).assert_success() # Parameter @pytest.mark.parametrize('macros,name,parameter_section', (('capability', 'node', 'attributes'),)) def test_template_parameter_missing(parser, macros, name, parameter_section): parser.parse_literal(MACROS[macros] + """ tosca_definitions_version: tosca_simple_yaml_1_0 {{- additions() }} {{ name }}_types: MyType: {%- call type_parameters() -%} {} {% endcall %} topology_template: {{ section }}: my_template: type: MyType {%- call parameters() %} my_parameter: a value {% endcall %} """, dict(name=name, section=data.TEMPLATE_NAME_SECTIONS[name], parameter_section=parameter_section)).assert_failure() # Entry schema @pytest.mark.parametrize('macros,name,parameter_section,values', matrix( PERMUTATIONS, data.ENTRY_SCHEMA_VALUES, counts=(3, 1) )) def test_template_parameter_map(parser, macros, name, parameter_section, values): parser.parse_literal(MACROS[macros] + """ tosca_definitions_version: tosca_simple_yaml_1_0 {{- additions() }} data_types: MyType: properties: my_field: type: string default: default value {{ name }}_types: MyType: {%- call type_parameters() %} my_parameter: type: map entry_schema: {{ values[0] }} {% endcall %} topology_template: {{ section }}: my_template: type: MyType {%- call parameters() %} my_parameter: key1: {{ values[1] }} key2: {{ values[2] }} {% endcall %} """, dict(name=name, section=data.TEMPLATE_NAME_SECTIONS[name], parameter_section=parameter_section, values=values), import_profile=True).assert_success() @pytest.mark.parametrize('macros,name,parameter_section,values', matrix( PERMUTATIONS, data.ENTRY_SCHEMA_VALUES_BAD, counts=(3, 1) )) def test_template_parameter_map_bad(parser, macros, name, parameter_section, values): parser.parse_literal(MACROS[macros] + """ tosca_definitions_version: tosca_simple_yaml_1_0 {{- additions() }} data_types: MyType: properties: my_field: type: string default: default value {{ name }}_types: MyType: {%- call type_parameters() %} my_parameter: type: map entry_schema: {{ values[0] }} {% endcall %} topology_template: {{ section }}: my_template: type: MyType {%- call parameters() %} my_parameter: key1: {{ values[1] }} key2: {{ values[2] }} {% endcall %} """, dict(name=name, section=data.TEMPLATE_NAME_SECTIONS[name], parameter_section=parameter_section, values=values), import_profile=True).assert_failure() @pytest.mark.parametrize('macros,name,parameter_section', PERMUTATIONS) def test_template_parameter_map_required_field(parser, macros, name, parameter_section): parser.parse_literal(MACROS[macros] + """ tosca_definitions_version: tosca_simple_yaml_1_0 {{- additions() }} data_types: MyType: properties: my_field: type: string {{ name }}_types: MyType: {%- call type_parameters() %} my_parameter: type: map entry_schema: MyType {% endcall %} topology_template: {{ section }}: my_template: type: MyType {%- call parameters() %} my_parameter: key: {my_field: a value} {% endcall %} """, dict(name=name, section=data.TEMPLATE_NAME_SECTIONS[name], parameter_section=parameter_section), import_profile=True).assert_success() @pytest.mark.parametrize('macros,name,parameter_section', PERMUTATIONS) def test_template_parameter_map_required_field_bad(parser, macros, name, parameter_section): parser.parse_literal(MACROS[macros] + """ tosca_definitions_version: tosca_simple_yaml_1_0 {{- additions() }} data_types: MyType: properties: my_field: type: string {{ name }}_types: MyType: {%- call type_parameters() %} my_parameter: type: map entry_schema: MyType {% endcall %} topology_template: {{ section }}: my_template: type: MyType {%- call parameters() %} my_parameter: key: {} {% endcall %} """, dict(name=name, section=data.TEMPLATE_NAME_SECTIONS[name], parameter_section=parameter_section), import_profile=True).assert_failure() @pytest.mark.parametrize('macros,name,parameter_section,values', matrix( PERMUTATIONS, data.ENTRY_SCHEMA_VALUES, counts=(3, 1) )) def test_template_parameter_list(parser, macros, name, parameter_section, values): parser.parse_literal(MACROS[macros] + """ tosca_definitions_version: tosca_simple_yaml_1_0 {{- additions() }} data_types: MyType: properties: my_field: type: string default: default value {{ name }}_types: MyType: {%- call type_parameters() %} my_parameter: type: list entry_schema: {{ values[0] }} {% endcall %} topology_template: {{ section }}: my_template: type: MyType {%- call parameters() %} my_parameter: - {{ values[1] }} - {{ values[2] }} {% endcall %} """, dict(name=name, section=data.TEMPLATE_NAME_SECTIONS[name], parameter_section=parameter_section, values=values), import_profile=True).assert_success() @pytest.mark.parametrize('macros,name,parameter_section,values', matrix( PERMUTATIONS, data.ENTRY_SCHEMA_VALUES_BAD, counts=(3, 1) )) def test_template_parameter_list_bad(parser, macros, name, parameter_section, values): parser.parse_literal(MACROS[macros] + """ tosca_definitions_version: tosca_simple_yaml_1_0 {{- additions() }} data_types: MyType: properties: my_field: type: string default: default value {{ name }}_types: MyType: {%- call type_parameters() %} my_parameter: type: list entry_schema: {{ values[0] }} {% endcall %} topology_template: {{ section }}: my_template: type: MyType {%- call parameters() %} my_parameter: - {{ values[1] }} - {{ values[2] }} {% endcall %} """, dict(name=name, section=data.TEMPLATE_NAME_SECTIONS[name], parameter_section=parameter_section, values=values), import_profile=True).assert_failure() @pytest.mark.parametrize('macros,name,parameter_section', PERMUTATIONS) def test_template_parameter_list_required_field(parser, macros, name, parameter_section): parser.parse_literal(MACROS[macros] + """ tosca_definitions_version: tosca_simple_yaml_1_0 {{- additions() }} data_types: MyType: properties: my_field: type: string {{ name }}_types: MyType: {%- call type_parameters() %} my_parameter: type: list entry_schema: MyType {% endcall %} topology_template: {{ section }}: my_template: type: MyType {%- call parameters() %} my_parameter: - {my_field: a value} {% endcall %} """, dict(name=name, section=data.TEMPLATE_NAME_SECTIONS[name], parameter_section=parameter_section), import_profile=True).assert_success() @pytest.mark.parametrize('macros,name,parameter_section', PERMUTATIONS) def test_template_parameter_list_required_field_bad(parser, macros, name, parameter_section): parser.parse_literal(MACROS[macros] + """ tosca_definitions_version: tosca_simple_yaml_1_0 {{- additions() }} data_types: MyType: properties: my_field: type: string {{ name }}_types: MyType: {%- call type_parameters() %} my_parameter: type: list entry_schema: MyType {% endcall %} topology_template: {{ section }}: my_template: type: MyType {%- call parameters() %} my_parameter: - {} {% endcall %} """, dict(name=name, section=data.TEMPLATE_NAME_SECTIONS[name], parameter_section=parameter_section), import_profile=True).assert_failure() # Unicode @pytest.mark.parametrize('macros,name,parameter_section', PERMUTATIONS) def test_template_parameter_unicode(parser, macros, name, parameter_section): parser.parse_literal(MACROS[macros] + """ tosca_definitions_version: tosca_simple_yaml_1_0 {{- additions() }} {{ name }}_types: 類型: {%- call type_parameters() %} 參數: type: string {% endcall %} topology_template: {{ section }}: 模板: type: 類型 {%- call parameters() %} 參數: 值 {% endcall %} """, dict(name=name, section=data.TEMPLATE_NAME_SECTIONS[name], parameter_section=parameter_section)).assert_success()

27.377238

100

0.652249

2,187

21,409

6.164609

0.082762

0.090194

0.053405

0.058152

0.825916

0.811526

0.796024

0.774514

0.748479

0.746403

0

0.006062

0.206409

21,409

781

101

27.412292

0.787463

0.109393

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0.692627

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1

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null

0

8

68015a53337ab0a88928e5e57f2aa49f61d2c793

8,757

py

Python

gators/feature_generation/tests/test_is_null.py

Aditya-Kapadiya/gators

d7c9967e3a8e304a601b6a92ad834d03d3e36338

[ "Apache-2.0" ]

4

2021-10-29T18:20:52.000Z

2022-03-31T22:53:03.000Z

gators/feature_generation/tests/test_is_null.py

Aditya-Kapadiya/gators

d7c9967e3a8e304a601b6a92ad834d03d3e36338

[ "Apache-2.0" ]

1

2022-01-19T12:16:19.000Z

gators/feature_generation/tests/test_is_null.py

Aditya-Kapadiya/gators

d7c9967e3a8e304a601b6a92ad834d03d3e36338

[ "Apache-2.0" ]

5

2021-11-17T20:16:54.000Z

2022-02-21T18:21:02.000Z

# License: Apache-2.0 import databricks.koalas as ks import numpy as np import pandas as pd import pytest from pandas.testing import assert_frame_equal from gators.feature_generation.is_null import IsNull ks.set_option("compute.default_index_type", "distributed-sequence") @pytest.fixture def data_num(): X = pd.DataFrame(np.arange(9).reshape(3, 3), columns=list("ABC")) X.iloc[0, :] = np.nan X_expected = pd.DataFrame( [ [np.nan, np.nan, np.nan, 1.0, 1.0, 1.0], [3.0, 4.0, 5.0, 0.0, 0.0, 0.0], [6.0, 7.0, 8.0, 0.0, 0.0, 0.0], ], columns=["A", "B", "C", "A__is_null", "B__is_null", "C__is_null"], ) obj = IsNull(columns=list("ABC")).fit(X) return obj, X, X_expected @pytest.fixture def data_float32_num(): X = pd.DataFrame(np.arange(9).reshape(3, 3), columns=list("ABC")).astype(np.float32) X.iloc[0, :] = np.nan X_expected = pd.DataFrame( [ [np.nan, np.nan, np.nan, 1.0, 1.0, 1.0], [3.0, 4.0, 5.0, 0.0, 0.0, 0.0], [6.0, 7.0, 8.0, 0.0, 0.0, 0.0], ], columns=["A", "B", "C", "A__is_null", "B__is_null", "C__is_null"], ).astype(np.float32) obj = IsNull(columns=list("ABC"), dtype=np.float32).fit(X) return obj, X, X_expected @pytest.fixture def data_names(): X = pd.DataFrame(np.arange(9).reshape(3, 3), columns=list("ABC")) X.iloc[0, :] = np.nan X_expected = pd.DataFrame( [ [np.nan, np.nan, np.nan, 1.0, 1.0, 1.0], [3.0, 4.0, 5.0, 0.0, 0.0, 0.0], [6.0, 7.0, 8.0, 0.0, 0.0, 0.0], ], columns=["A", "B", "C", "AIsNull", "BIsNull", "CIsNull"], ) obj = IsNull( columns=list("ABC"), column_names=["AIsNull", "BIsNull", "CIsNull"] ).fit(X) return obj, X, X_expected @pytest.fixture def data_obj(): X = pd.DataFrame( { "A": [None, "a", "b"], "B": [None, "c", "d"], "C": [None, "e", "f"], "D": [0, 1, np.nan], } ) X_expected = pd.DataFrame( { "A": [None, "a", "b"], "B": [None, "c", "d"], "C": [None, "e", "f"], "D": [0, 1, np.nan], "A__is_null": [1.0, 0.0, 0.0], "B__is_null": [1.0, 0.0, 0.0], "C__is_null": [1.0, 0.0, 0.0], "D__is_null": [0.0, 0.0, 1.0], } ) obj = IsNull(columns=list("ABCD")).fit(X) return obj, X, X_expected @pytest.fixture def data_num_ks(): X = ks.DataFrame(np.arange(9).reshape(3, 3), columns=list("ABC")) X.iloc[0, :] = np.nan X_expected = pd.DataFrame( [ [np.nan, np.nan, np.nan, 1.0, 1.0, 1.0], [3.0, 4.0, 5.0, 0.0, 0.0, 0.0], [6.0, 7.0, 8.0, 0.0, 0.0, 0.0], ], columns=["A", "B", "C", "A__is_null", "B__is_null", "C__is_null"], ) obj = IsNull(columns=list("ABC")).fit(X) return obj, X, X_expected @pytest.fixture def data_float32_num_ks(): X = ks.DataFrame(np.arange(9).reshape(3, 3), columns=list("ABC")) X.iloc[0, :] = np.nan X = X.astype(np.float32) X_expected = pd.DataFrame( [ [np.nan, np.nan, np.nan, 1.0, 1.0, 1.0], [3.0, 4.0, 5.0, 0.0, 0.0, 0.0], [6.0, 7.0, 8.0, 0.0, 0.0, 0.0], ], columns=["A", "B", "C", "A__is_null", "B__is_null", "C__is_null"], ).astype(np.float32) obj = IsNull(columns=list("ABC"), dtype=np.float32).fit(X) return obj, X, X_expected @pytest.fixture def data_names_ks(): X = ks.DataFrame(np.arange(9).reshape(3, 3), columns=list("ABC")) X.iloc[0, :] = np.nan X_expected = pd.DataFrame( [ [np.nan, np.nan, np.nan, 1.0, 1.0, 1.0], [3.0, 4.0, 5.0, 0.0, 0.0, 0.0], [6.0, 7.0, 8.0, 0.0, 0.0, 0.0], ], columns=["A", "B", "C", "AIsNull", "BIsNull", "CIsNull"], ) obj = IsNull( columns=list("ABC"), column_names=["AIsNull", "BIsNull", "CIsNull"] ).fit(X) return obj, X, X_expected @pytest.fixture def data_obj_ks(): X = ks.DataFrame( { "A": [None, "a", "b"], "B": [None, "c", "d"], "C": [None, "e", "f"], "D": [0, 1, np.nan], } ) X_expected = pd.DataFrame( { "A": [None, "a", "b"], "B": [None, "c", "d"], "C": [None, "e", "f"], "D": [0, 1, np.nan], "A__is_null": [1.0, 0.0, 0.0], "B__is_null": [1.0, 0.0, 0.0], "C__is_null": [1.0, 0.0, 0.0], "D__is_null": [0.0, 0.0, 1.0], } ) obj = IsNull(columns=list("ABCD")).fit(X) return obj, X, X_expected def test_pd(data_num): obj, X, X_expected = data_num X_new = obj.transform(X) assert_frame_equal(X_new, X_expected) @pytest.mark.koalas def test_ks(data_num_ks): obj, X, X_expected = data_num_ks X_new = obj.transform(X) assert_frame_equal(X_new.to_pandas(), X_expected) def test_pd_np(data_num): obj, X, X_expected = data_num X_numpy_new = obj.transform_numpy(X.to_numpy()) X_new = pd.DataFrame(X_numpy_new) X_expected = pd.DataFrame(X_expected.values) assert_frame_equal(X_new, X_expected) @pytest.mark.koalas def test_ks_np(data_num_ks): obj, X, X_expected = data_num_ks X_numpy_new = obj.transform_numpy(X.to_numpy()) X_new = pd.DataFrame(X_numpy_new) X_expected = pd.DataFrame(X_expected.values) assert_frame_equal(X_new, X_expected) def test_float32_pd(data_float32_num): obj, X, X_expected = data_float32_num X_new = obj.transform(X) assert_frame_equal(X_new, X_expected) @pytest.mark.koalas def test_float32_ks(data_float32_num_ks): obj, X, X_expected = data_float32_num_ks X_new = obj.transform(X) assert_frame_equal(X_new.to_pandas(), X_expected) def test_float32_pd_np(data_float32_num): obj, X, X_expected = data_float32_num X_numpy_new = obj.transform_numpy(X.to_numpy()) X_new = pd.DataFrame(X_numpy_new) X_expected = pd.DataFrame(X_expected.values) assert_frame_equal(X_new, X_expected) @pytest.mark.koalas def test_float32_ks_np(data_float32_num_ks): obj, X, X_expected = data_float32_num_ks X_numpy_new = obj.transform_numpy(X.to_numpy()) X_new = pd.DataFrame(X_numpy_new) X_expected = pd.DataFrame(X_expected.values) assert_frame_equal(X_new, X_expected) def test_names_pd(data_names): obj, X, X_expected = data_names X_new = obj.transform(X) assert_frame_equal(X_new, X_expected) @pytest.mark.koalas def test_names_ks(data_names_ks): obj, X, X_expected = data_names_ks X_new = obj.transform(X) assert_frame_equal(X_new.to_pandas(), X_expected) def test_names_pd_np(data_names): obj, X, X_expected = data_names X_numpy_new = obj.transform_numpy(X.to_numpy()) X_new = pd.DataFrame(X_numpy_new) X_expected = pd.DataFrame(X_expected.values) assert_frame_equal(X_new, X_expected) @pytest.mark.koalas def test_names_ks_np(data_names_ks): obj, X, X_expected = data_names_ks X_numpy_new = obj.transform_numpy(X.to_numpy()) X_new = pd.DataFrame(X_numpy_new) X_expected = pd.DataFrame(X_expected.values) assert_frame_equal(X_new, X_expected) def test_obj(data_obj): obj, X, X_expected = data_obj X_new = obj.transform(X) assert_frame_equal( X_new.iloc[:, 4:].astype(float), X_expected.iloc[:, 4:].astype(float) ) @pytest.mark.koalas def test_obj_ks(data_obj_ks): obj, X, X_expected = data_obj_ks X_new = obj.transform(X).to_pandas() assert_frame_equal( X_new.iloc[:, 4:].astype(float), X_expected.iloc[:, 4:].astype(float) ) def test_obj_np(data_obj): obj, X, X_expected = data_obj X_numpy_new = obj.transform_numpy(X.to_numpy()) X_new = pd.DataFrame(X_numpy_new) X_expected = pd.DataFrame(X_expected.values) assert_frame_equal( X_new.iloc[:, 4:].astype(float), X_expected.iloc[:, 4:].astype(float) ) @pytest.mark.koalas def test_obj_ks_np(data_obj_ks): obj, X, X_expected = data_obj_ks X_numpy_new = obj.transform_numpy(X.to_numpy()) X_new = pd.DataFrame(X_numpy_new) X_expected = pd.DataFrame(X_expected.values) assert_frame_equal( X_new.iloc[:, 4:].astype(float), X_expected.iloc[:, 4:].astype(float) ) def test_init(): with pytest.raises(TypeError): _ = IsNull(columns=0) with pytest.raises(ValueError): _ = IsNull(columns=[], column_names=["AIsNull"]) with pytest.raises(TypeError): _ = IsNull(columns=list("ABC"), column_names=0) with pytest.raises(ValueError): _ = IsNull(columns=list("ABC"), column_names=["a", "b"])

28.617647

88

0.583876

1,437

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3.306889

0.059847

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0

null

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0

1

0

null

0

7

a858227b16690594c88b3d74c684793242a8c9c7

47

py

Python

calc/Seconds.py

beyondjjw/SendStocks

103872853b2393ef88611e661f334d74bdd61778

[ "MIT" ]

null

calc/Seconds.py

beyondjjw/SendStocks

103872853b2393ef88611e661f334d74bdd61778

[ "MIT" ]

null

calc/Seconds.py

beyondjjw/SendStocks

103872853b2393ef88611e661f334d74bdd61778

[ "MIT" ]

3

2019-03-19T14:31:59.000Z

2019-11-26T09:45:15.000Z

import sys def stop(s=1): return int(s)

6.714286

17

0.595745

9

47

3.111111

0.888889

0

0.029412

0.276596

47

7

17

6.714286

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1

0.333333

false

0

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1

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null

0

1

0

null

0

1

0

1

0

7

a895e019d3dae753576b15bb28ad09a33bb06265

4,460

py

Python

tests/integration/docusaurus/connecting_to_your_data/how_to_introspect_and_partition_your_data/sql_database/yaml_example_gradual.py

arunnthevapalan/great_expectations

97f1481bcd1c3f4d8878c6f383f4e6f008b20cd1

[ "Apache-2.0" ]

1

2022-03-16T22:09:49.000Z

tests/integration/docusaurus/connecting_to_your_data/how_to_introspect_and_partition_your_data/sql_database/yaml_example_gradual.py

draev/great_expectations

317e15ee7e50f6e0d537b62154177440f33b795d

[ "Apache-2.0" ]

null

tests/integration/docusaurus/connecting_to_your_data/how_to_introspect_and_partition_your_data/sql_database/yaml_example_gradual.py

draev/great_expectations

317e15ee7e50f6e0d537b62154177440f33b795d

[ "Apache-2.0" ]

null

from ruamel import yaml # <snippet> import great_expectations as ge # </snippet> # <snippet> context = ge.get_context() # </snippet> # <snippet> datasource_yaml = f""" name: taxi_datasource class_name: SimpleSqlalchemyDatasource connection_string: <CONNECTION_STRING> introspection: # Each key in the "introspection" section is the name of an InferredAssetSqlDataConnector (key name "introspection" in "SimpleSqlalchemyDatasource" configuration is reserved). whole_table: {{}} # Any alphanumeric key name is acceptable. """ # </snippet> # Please note this override is only to provide good UX for docs and tests. # In normal usage you'd set your path directly in the yaml above. data_dir_path = "data" CONNECTION_STRING = f"sqlite:///{data_dir_path}/yellow_tripdata.db" datasource_yaml = datasource_yaml.replace("<CONNECTION_STRING>", CONNECTION_STRING) # <snippet> context.test_yaml_config(datasource_yaml) # </snippet> # <snippet> datasource_yaml = f""" # buggy datasource_yaml configuration name: mis_configured_datasource class_name: SimpleSqlalchemyDatasource connection_string: <CONNECTION_STRING> introspecting: # illegal top-level key name whole_table: {{}} """ # </snippet> datasource_yaml = datasource_yaml.replace("<CONNECTION_STRING>", CONNECTION_STRING) # <snippet> context.test_yaml_config(datasource_yaml) # </snippet> # <snippet> datasource_yaml = f""" name: taxi_datasource class_name: SimpleSqlalchemyDatasource connection_string: <CONNECTION_STRING> introspection: # Each key in the "introspection" section is the name of an InferredAssetSqlDataConnector (key name "introspection" in "SimpleSqlalchemyDatasource" configuration is reserved). whole_table: include_schema_name: true introspection_directives: include_views: true skip_inapplicable_tables: true # skip and continue upon encountering introspection errors excluded_tables: # a list of tables to ignore when inferring data asset_names - main.yellow_tripdata_sample_2019_03 # format: schema_name.table_name """ # </snippet> datasource_yaml = datasource_yaml.replace("<CONNECTION_STRING>", CONNECTION_STRING) context.test_yaml_config(datasource_yaml) # <snippet> context.add_datasource(**yaml.load(datasource_yaml)) # </snippet> # <snippet> available_data_asset_names = context.datasources[ "taxi_datasource" ].get_available_data_asset_names(data_connector_names="whole_table")["whole_table"] # </snippet> assert len(available_data_asset_names) == 2 # <snippet> datasource_yaml = f""" name: taxi_datasource class_name: SimpleSqlalchemyDatasource connection_string: <CONNECTION_STRING> tables: # Each key in the "tables" section is a table_name (key name "tables" in "SimpleSqlalchemyDatasource" configuration is reserved). yellow_tripdata_sample_2019_01: # Must match table name exactly. partitioners: # Each key in the "partitioners" sub-section the name of a ConfiguredAssetSqlDataConnector (key name "partitioners" in "SimpleSqlalchemyDatasource" configuration is reserved). whole_table: {{}} """ # </snippet> datasource_yaml = datasource_yaml.replace("<CONNECTION_STRING>", CONNECTION_STRING) # <snippet> context.test_yaml_config(datasource_yaml) # </snippet> # <snippet> datasource_yaml = f""" name: taxi_datasource class_name: SimpleSqlalchemyDatasource connection_string: <CONNECTION_STRING> tables: # Each key in the "tables" section is a table_name (key name "tables" in "SimpleSqlalchemyDatasource" configuration is reserved). yellow_tripdata_sample_2019_01: # Must match table name exactly. partitioners: # Each key in the "partitioners" sub-section the name of a ConfiguredAssetSqlDataConnector (key name "partitioners" in "SimpleSqlalchemyDatasource" configuration is reserved). whole_table: include_schema_name: true schema_name: main data_asset_name_prefix: taxi__ data_asset_name_suffix: __asset """ # </snippet> datasource_yaml = datasource_yaml.replace("<CONNECTION_STRING>", CONNECTION_STRING) # <snippet> context.test_yaml_config(datasource_yaml) # </snippet> # <snippet> context.add_datasource(**yaml.load(datasource_yaml)) # </snippet> available_data_asset_names = context.datasources[ "taxi_datasource" ].get_available_data_asset_names(data_connector_names="whole_table")["whole_table"] assert len(available_data_asset_names) == 1

33.283582

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0.079414

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0.770617

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0

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4,460

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1

0

1

0

1

0

null

0

7

a8a9dbec94ea7ec7c82716b1de865b9f20bd76de

27,140

py

Python

pycode/memilio-epidata/memilio/epidata_test/test_epidata_cleandata.py

DLR-SC/memilio

e83243df95e21b5841e3bc077a667fe5446da866

[ "Apache-2.0" ]

9

2021-08-24T11:01:41.000Z

2022-03-16T12:45:39.000Z

pycode/memilio-epidata/memilio/epidata_test/test_epidata_cleandata.py

DLR-SC/memilio

e83243df95e21b5841e3bc077a667fe5446da866

[ "Apache-2.0" ]

197

2021-08-16T15:38:44.000Z

2022-03-31T14:37:24.000Z

pycode/memilio-epidata/memilio/epidata_test/test_epidata_cleandata.py

DLR-SC/memilio

e83243df95e21b5841e3bc077a667fe5446da866

[ "Apache-2.0" ]

3

2021-09-28T08:29:02.000Z

2022-03-16T12:45:42.000Z

############################################################################# # Copyright (C) 2020-2021 German Aerospace Center (DLR-SC) # # Authors: # # Contact: Martin J. Kuehn <Martin.Kuehn@DLR.de> # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. ############################################################################# import unittest from pyfakefs import fake_filesystem_unittest import os import sys from unittest.mock import patch from memilio.epidata import cleanData as cd from memilio.epidata import defaultDict as dd class Test_cleanData(fake_filesystem_unittest.TestCase): path = '/home/x' def setUp(self): self.setUpPyfakefs() def set_dirs_and_files(self, what): dir_dic_all = { 'Germany' : ["a_rki", "a_jh", "FullRKI", "PopulData", "FullDataB", "FullDataL"], 'Spain': ["b_jh"], 'France': ["c_jh"], 'Italy': ["d_jh"], 'US' : ["e_jh"], 'SouthKorea' : ["f_jh"], 'China' : ["g_jh"]} dir_dic_rki = {'Germany': ["a_rki", "FullRKI"]} dir_dic_popul = {'Germany': ["PopulData", "FullDataB", "FullDataL"]} dir_dic_jh = {'Germany': ["a_jh"], 'Spain': ["b_jh"], 'France': ["c_jh"], 'Italy': ["d_jh"], 'US': ["e_jh"], 'SouthKorea': ["f_jh"], 'China': ["g_jh"]} ending_all = [".json", ".h5"] ending_json = [".json"] dir_choose = {"all": dir_dic_all, "rki": dir_dic_rki, "jh": dir_dic_jh, "popul": dir_dic_popul } ending_choose= {"all": ending_all, "rki": ending_json, "jh": ending_json, "popul": ending_json } dir_dic = dir_choose[what] ending = ending_choose[what] file_list = ["all_jh", "FullJohnHopkins"] # make folders for key in dir_dic: dir_path = os.path.join(self.path, key) os.makedirs(dir_path) # make files for file in dir_dic[key]: for e in ending: with open(os.path.join(dir_path, file + e), 'w') as f: f.write('foo') if what == "all" or what == "jh": for file in file_list: for e in ending: with open(os.path.join(self.path, file + e), 'w') as f: f.write('foo') def test_set_dirs_and_files(self): # test if writte fct works as expected self.set_dirs_and_files("all") dir_list = ['Germany', 'Spain', 'France', 'Italy', 'US', 'SouthKorea', 'China'] # Test wanted folder and file structure self.assertEqual(len(os.listdir(self.path)), 11) self.assertEqual(os.listdir(self.path), dir_list + ['all_jh.json', 'all_jh.h5', 'FullJohnHopkins.json', 'FullJohnHopkins.h5']) for dir in dir_list: dir_path = os.path.join(self.path, dir) if dir == "Germany": self.assertEqual(len(os.listdir(dir_path)), 12) self.assertEqual(os.listdir(dir_path), ["a_rki.json", "a_rki.h5", "a_jh.json", "a_jh.h5", "FullRKI.json", "FullRKI.h5", "PopulData.json", "PopulData.h5", "FullDataB.json", "FullDataB.h5", "FullDataL.json", "FullDataL.h5"]) elif dir == "Spain": self.assertEqual(len(os.listdir(dir_path)), 2) self.assertEqual(os.listdir(dir_path), ["b_jh.json", "b_jh.h5"]) else: self.assertEqual(len(os.listdir(dir_path)), 2) if dir == "France": self.assertEqual(os.listdir(dir_path), ["c_jh.json", "c_jh.h5"]) # generate folder and files def test_clean_data_all_should_delete_all(self): self.set_dirs_and_files("all") cd.clean_data(True, False, False, False, False, self.path) # Should delete everything self.assertEqual(len(os.listdir(self.path)), 0) def test_clean_data_all_should_not_delete_all(self): self.set_dirs_and_files("all") # add different files and folder os.makedirs(os.path.join(self.path, "ImportantDir")) with open(os.path.join(self.path, "wichtig.py"), 'w') as f: f.write('foo') dir_path = os.path.join(self.path, "China") with open(os.path.join(dir_path, "secret.txt"), 'w') as f: f.write('foo') cd.clean_data(True, False, False, False, False, self.path) # Should delete everything self.assertEqual(len(os.listdir(self.path)), 3) self.assertEqual(os.listdir(self.path), ["China", "ImportantDir", "wichtig.py"]) self.assertEqual(len(os.listdir(dir_path)), 1) self.assertEqual(os.listdir(dir_path), ["secret.txt"]) def test_clean_data_rki(self): self.set_dirs_and_files("all") cd.clean_data(False, True, False, False, False, self.path) dir_list = ['Germany', 'Spain', 'France', 'Italy', 'US', 'SouthKorea', 'China'] # Test wanted folder and file structure self.assertEqual(len(os.listdir(self.path)), 11) self.assertEqual(os.listdir(self.path), dir_list + ['all_jh.json', 'all_jh.h5', 'FullJohnHopkins.json', 'FullJohnHopkins.h5']) for dir in dir_list: dir_path = os.path.join(self.path, dir) if dir == "Germany": self.assertEqual(len(os.listdir(dir_path)), 10) self.assertEqual(os.listdir(dir_path), ["a_rki.h5", "a_jh.json", "a_jh.h5", "FullRKI.h5", "PopulData.json", "PopulData.h5", "FullDataB.json", "FullDataB.h5", "FullDataL.json", "FullDataL.h5"]) elif dir == "Spain": self.assertEqual(len(os.listdir(dir_path)), 2) self.assertEqual(os.listdir(dir_path), ["b_jh.json", "b_jh.h5"]) else: self.assertEqual(len(os.listdir(dir_path)), 2) if dir == "France": self.assertEqual(os.listdir(dir_path), ["c_jh.json", "c_jh.h5"]) def test_clean_data_rki_h5(self): self.set_dirs_and_files("all") cd.clean_data(False, True, False, False, True, self.path) dir_list = ['Germany', 'Spain', 'France', 'Italy', 'US', 'SouthKorea', 'China'] # Test wanted folder and file structure self.assertEqual(len(os.listdir(self.path)), 11) self.assertEqual(os.listdir(self.path), dir_list + ['all_jh.json', 'all_jh.h5', 'FullJohnHopkins.json', 'FullJohnHopkins.h5']) for dir in dir_list: dir_path = os.path.join(self.path, dir) if dir == "Germany": self.assertEqual(len(os.listdir(dir_path)), 10) self.assertEqual(os.listdir(dir_path), ["a_rki.json", "a_jh.json", "a_jh.h5", "FullRKI.json", "PopulData.json", "PopulData.h5", "FullDataB.json", "FullDataB.h5", "FullDataL.json", "FullDataL.h5"]) elif dir == "Spain": self.assertEqual(len(os.listdir(dir_path)), 2) self.assertEqual(os.listdir(dir_path), ["b_jh.json", "b_jh.h5"]) else: self.assertEqual(len(os.listdir(dir_path)), 2) if dir == "France": self.assertEqual(os.listdir(dir_path), ["c_jh.json", "c_jh.h5"]) def test_clean_data_rki_del_dir(self): self.set_dirs_and_files("all") dir_path = os.path.join(self.path, "Germany") files = os.listdir(dir_path) # delete all files except which will be deleted for item in files: if item == "a_rki.json" or item == "FullRKI.json": continue else: os.remove(os.path.join(dir_path, item)) self.assertEqual(len(os.listdir(dir_path)), 2) self.assertEqual(os.listdir(dir_path), ["a_rki.json", "FullRKI.json"]) cd.clean_data(False, True, False, False, False, self.path) dir_list = ['Spain', 'France', 'Italy', 'US', 'SouthKorea', 'China'] # Test wanted folder and file structure # Germany should be deleted, because no files where left after deletion self.assertEqual(len(os.listdir(self.path)), 10) self.assertEqual(os.listdir(self.path), dir_list + ['all_jh.json', 'all_jh.h5', 'FullJohnHopkins.json', 'FullJohnHopkins.h5']) for dir in dir_list: dir_path = os.path.join(self.path, dir) if dir == "Spain": self.assertEqual(len(os.listdir(dir_path)), 2) self.assertEqual(os.listdir(dir_path), ["b_jh.json", "b_jh.h5"]) else: self.assertEqual(len(os.listdir(dir_path)), 2) if dir == "France": self.assertEqual(os.listdir(dir_path), ["c_jh.json", "c_jh.h5"]) def test_clean_data_population(self): # test if writte fct works as expected self.set_dirs_and_files("all") cd.clean_data(False, False, False, True, False, self.path) dir_list = ['Germany', 'Spain', 'France', 'Italy', 'US', 'SouthKorea', 'China'] # Test wanted folder and file structure self.assertEqual(len(os.listdir(self.path)), 11) self.assertEqual(os.listdir(self.path), dir_list + ['all_jh.json', 'all_jh.h5', 'FullJohnHopkins.json', 'FullJohnHopkins.h5']) for dir in dir_list: dir_path = os.path.join(self.path, dir) if dir == "Germany": self.assertEqual(len(os.listdir(dir_path)), 9) self.assertEqual(os.listdir(dir_path), ["a_rki.json", "a_rki.h5", "a_jh.json", "a_jh.h5", "FullRKI.json", "FullRKI.h5", "PopulData.h5", "FullDataB.h5", "FullDataL.h5"]) elif dir == "Spain": self.assertEqual(len(os.listdir(dir_path)), 2) self.assertEqual(os.listdir(dir_path), ["b_jh.json", "b_jh.h5"]) else: self.assertEqual(len(os.listdir(dir_path)), 2) if dir == "France": self.assertEqual(os.listdir(dir_path), ["c_jh.json", "c_jh.h5"]) def test_clean_data_population_hdf5(self): # test if writte fct works as expected self.set_dirs_and_files("all") cd.clean_data(False, False, False, True, True, self.path) dir_list = ['Germany', 'Spain', 'France', 'Italy', 'US', 'SouthKorea', 'China'] # Test wanted folder and file structure self.assertEqual(len(os.listdir(self.path)), 11) self.assertEqual(os.listdir(self.path), dir_list + ['all_jh.json', 'all_jh.h5', 'FullJohnHopkins.json', 'FullJohnHopkins.h5']) for dir in dir_list: dir_path = os.path.join(self.path, dir) if dir == "Germany": self.assertEqual(len(os.listdir(dir_path)), 9) self.assertEqual(os.listdir(dir_path), ["a_rki.json", "a_rki.h5", "a_jh.json", "a_jh.h5", "FullRKI.json", "FullRKI.h5", "PopulData.json", "FullDataB.json", "FullDataL.json"]) elif dir == "Spain": self.assertEqual(len(os.listdir(dir_path)), 2) self.assertEqual(os.listdir(dir_path), ["b_jh.json", "b_jh.h5"]) else: self.assertEqual(len(os.listdir(dir_path)), 2) if dir == "France": self.assertEqual(os.listdir(dir_path), ["c_jh.json", "c_jh.h5"]) def test_clean_data_population_del_dir(self): # test if writte fct works as expected self.set_dirs_and_files("all") dir_path = os.path.join(self.path, "Germany") files = os.listdir(dir_path) # delete all files except which will be deleted for item in files: if item == "PopulData.json" or item == "FullDataB.json" or item == "FullDataL.json": continue else: os.remove(os.path.join(dir_path, item)) self.assertEqual(len(os.listdir(dir_path)), 3) cd.clean_data(False, False, False, True, False, self.path) dir_list = ['Spain', 'France', 'Italy', 'US', 'SouthKorea', 'China'] # Test wanted folder and file structure self.assertEqual(len(os.listdir(self.path)), 10) self.assertEqual(os.listdir(self.path), dir_list + ['all_jh.json', 'all_jh.h5', 'FullJohnHopkins.json', 'FullJohnHopkins.h5']) for dir in dir_list: dir_path = os.path.join(self.path, dir) if dir == "Spain": self.assertEqual(len(os.listdir(dir_path)), 2) self.assertEqual(os.listdir(dir_path), ["b_jh.json", "b_jh.h5"]) else: self.assertEqual(len(os.listdir(dir_path)), 2) if dir == "France": self.assertEqual(os.listdir(dir_path), ["c_jh.json", "c_jh.h5"]) def test_all_false(self): cd.clean_data(False, False, False, False, False, self.path) # test if writte fct works as expected self.set_dirs_and_files("all") dir_list = ['Germany', 'Spain', 'France', 'Italy', 'US', 'SouthKorea', 'China'] # Test wanted folder and file structure self.assertEqual(len(os.listdir(self.path)), 11) self.assertEqual(os.listdir(self.path), dir_list + ['all_jh.json', 'all_jh.h5', 'FullJohnHopkins.json', 'FullJohnHopkins.h5']) for dir in dir_list: dir_path = os.path.join(self.path, dir) if dir == "Germany": self.assertEqual(len(os.listdir(dir_path)), 12) self.assertEqual(os.listdir(dir_path), ["a_rki.json", "a_rki.h5", "a_jh.json", "a_jh.h5", "FullRKI.json", "FullRKI.h5", "PopulData.json", "PopulData.h5", "FullDataB.json", "FullDataB.h5", "FullDataL.json", "FullDataL.h5"]) elif dir == "Spain": self.assertEqual(len(os.listdir(dir_path)), 2) self.assertEqual(os.listdir(dir_path), ["b_jh.json", "b_jh.h5"]) else: self.assertEqual(len(os.listdir(dir_path)), 2) if dir == "France": self.assertEqual(os.listdir(dir_path), ["c_jh.json", "c_jh.h5"]) def test_wrong_path(self): cd.clean_data(True, False, False, False, False, "/home/y") # TODO add some test: but what? - nothing is happening in this case def test_clean_data_jh(self): # test if writte fct works as expected self.set_dirs_and_files("all") cd.clean_data(False, False, True, False, False, self.path) dir_list = ['Germany', 'Spain', 'France', 'Italy', 'US', 'SouthKorea', 'China'] # Test wanted folder and file structure self.assertEqual(len(os.listdir(self.path)), 9) self.assertEqual(os.listdir(self.path), dir_list + ['all_jh.h5', 'FullJohnHopkins.h5']) for dir in dir_list: dir_path = os.path.join(self.path, dir) if dir == "Germany": self.assertEqual(len(os.listdir(dir_path)), 11) self.assertEqual(os.listdir(dir_path), ["a_rki.json", "a_rki.h5", "a_jh.h5", "FullRKI.json", "FullRKI.h5", "PopulData.json", "PopulData.h5", "FullDataB.json", "FullDataB.h5", "FullDataL.json", "FullDataL.h5"]) elif dir == "Spain": self.assertEqual(len(os.listdir(dir_path)), 1) self.assertEqual(os.listdir(dir_path), ["b_jh.h5"]) else: self.assertEqual(len(os.listdir(dir_path)), 1) if dir == "France": self.assertEqual(os.listdir(dir_path), ["c_jh.h5"]) def test_clean_data_jh_hdf5(self): # test if writte fct works as expected self.set_dirs_and_files("all") cd.clean_data(False, False, True, False, True, self.path) dir_list = ['Germany', 'Spain', 'France', 'Italy', 'US', 'SouthKorea', 'China'] # Test wanted folder and file structure self.assertEqual(len(os.listdir(self.path)), 9) self.assertEqual(os.listdir(self.path), dir_list + ['all_jh.json', 'FullJohnHopkins.json']) for dir in dir_list: dir_path = os.path.join(self.path, dir) if dir == "Germany": self.assertEqual(len(os.listdir(dir_path)), 11) self.assertEqual(os.listdir(dir_path), ["a_rki.json", "a_rki.h5", "a_jh.json", "FullRKI.json", "FullRKI.h5", "PopulData.json", "PopulData.h5", "FullDataB.json", "FullDataB.h5", "FullDataL.json", "FullDataL.h5"]) elif dir == "Spain": self.assertEqual(len(os.listdir(dir_path)), 1) self.assertEqual(os.listdir(dir_path), ["b_jh.json"]) else: self.assertEqual(len(os.listdir(dir_path)), 1) if dir == "France": self.assertEqual(os.listdir(dir_path), ["c_jh.json"]) def test_clean_data_jh_both_endings(self): # test if writte fct works as expected self.set_dirs_and_files("all") cd.clean_data(False, False, True, False, False, self.path) cd.clean_data(False, False, True, False, True, self.path) dir_list = ['Germany'] # Test wanted folder and file structure self.assertEqual(len(os.listdir(self.path)), 1) self.assertEqual(os.listdir(self.path), dir_list) for dir in dir_list: dir_path = os.path.join(self.path, dir) if dir == "Germany": self.assertEqual(len(os.listdir(dir_path)), 10) self.assertEqual(os.listdir(dir_path), ["a_rki.json", "a_rki.h5","FullRKI.json", "FullRKI.h5", "PopulData.json", "PopulData.h5", "FullDataB.json", "FullDataB.h5", "FullDataL.json", "FullDataL.h5"]) def test_clean_data_rki_johns_hopkins(self): # test if writte fct works as expected self.set_dirs_and_files("all") cd.clean_data(False, True, True, False, False, self.path) dir_list = ['Germany', 'Spain', 'France', 'Italy', 'US', 'SouthKorea', 'China'] # Test wanted folder and file structure self.assertEqual(len(os.listdir(self.path)), 9) self.assertEqual(os.listdir(self.path), dir_list + ['all_jh.h5', 'FullJohnHopkins.h5']) for dir in dir_list: dir_path = os.path.join(self.path, dir) if dir == "Germany": self.assertEqual(len(os.listdir(dir_path)), 9) self.assertEqual(os.listdir(dir_path), ["a_rki.h5", "a_jh.h5", "FullRKI.h5", "PopulData.json", "PopulData.h5", "FullDataB.json", "FullDataB.h5", "FullDataL.json", "FullDataL.h5"]) elif dir == "Spain": self.assertEqual(len(os.listdir(dir_path)), 1) self.assertEqual(os.listdir(dir_path), ["b_jh.h5"]) else: self.assertEqual(len(os.listdir(dir_path)), 1) if dir == "France": self.assertEqual(os.listdir(dir_path), ["c_jh.h5"]) def test_clean_data_rki_john_hokins_spain_population(self): # test if writte fct works as expected self.set_dirs_and_files("all") cd.clean_data(False, True, True, True, False, self.path) dir_list = ['Germany', 'Spain', 'France', 'Italy', 'US', 'SouthKorea', 'China'] # Test wanted folder and file structure self.assertEqual(len(os.listdir(self.path)), 9) self.assertEqual(os.listdir(self.path), dir_list + ['all_jh.h5', 'FullJohnHopkins.h5']) for dir in dir_list: dir_path = os.path.join(self.path, dir) if dir == "Germany": self.assertEqual(len(os.listdir(dir_path)), 6) self.assertEqual(os.listdir(dir_path), ["a_rki.h5", "a_jh.h5", "FullRKI.h5", "PopulData.h5", "FullDataB.h5", "FullDataL.h5"]) elif dir == "Spain": self.assertEqual(len(os.listdir(dir_path)), 1) self.assertEqual(os.listdir(dir_path), ["b_jh.h5"]) else: self.assertEqual(len(os.listdir(dir_path)), 1) if dir == "France": self.assertEqual(os.listdir(dir_path), ["c_jh.h5"]) def test_file_not_found_rki(self): self.set_dirs_and_files("rki") # add different files and folder os.makedirs(os.path.join(self.path, "ImportantDir")) with open(os.path.join(self.path, "wichtig.py"), 'w') as f: f.write('foo') cd.clean_data(False, True, False, False, False, self.path) self.assertEqual(len(os.listdir(self.path)), 2) self.assertEqual(os.listdir(self.path), ["ImportantDir", "wichtig.py"]) def test_file_not_found_population(self): self.set_dirs_and_files("popul") # add different files and folder os.makedirs(os.path.join(self.path, "ImportantDir")) with open(os.path.join(self.path, "wichtig.py"), 'w') as f: f.write('foo') cd.clean_data(False, False, False, True, False, self.path) self.assertEqual(len(os.listdir(self.path)), 2) self.assertEqual(os.listdir(self.path), ["ImportantDir", "wichtig.py"]) def test_file_not_found_jh(self): self.set_dirs_and_files("jh") # add different files and folder os.makedirs(os.path.join(self.path, "ImportantDir")) with open(os.path.join(self.path, "wichtig.py"), 'w') as f: f.write('foo') cd.clean_data(False, False, True, False, False, self.path) self.assertEqual(len(os.listdir(self.path)), 2) self.assertEqual(os.listdir(self.path), ["ImportantDir", "wichtig.py"]) def test_no_files(self): # The following should run without any problem. # Every error should be cached and passed # no data in folder cd.clean_data(False, False, True, False, False, self.path) # population cd.clean_data(False, False, False, True, False, self.path) # rki cd.clean_data(False, True, False, False, False, self.path) def test_cli_default(self): out_path_default = dd.defaultDict['out_folder'] test_args = ["prog"] with patch.object(sys, 'argv', test_args): [all_data, rki, jh, popul, hdf5, out_path] = cd.cli() print([all_data, rki, jh, popul, hdf5, out_path]) self.assertEqual(all_data, False) self.assertEqual(rki, False) self.assertEqual(jh, False) self.assertEqual(popul, False) self.assertEqual(hdf5, False) self.assertEqual(out_path, out_path_default) def test_cli_folder(self): folder = "some_folder" test_args = ["prog", '--out_path', folder] with patch.object(sys, 'argv', test_args): [all_data, rki, jh, popul, hdf5, out_path] = cd.cli() self.assertEqual(all_data, False) self.assertEqual(rki, False) self.assertEqual(jh, False) self.assertEqual(popul, False) self.assertEqual(hdf5, False) self.assertEqual(out_path, folder) def test_cli_all(self): out_path_default = dd.defaultDict['out_folder'] test_args = ["prog", '--all'] with patch.object(sys, 'argv', test_args): [all_data, rki, jh, popul, hdf5, out_path] = cd.cli() self.assertEqual(all_data, True) self.assertEqual(rki, False) self.assertEqual(jh, False) self.assertEqual(popul, False) self.assertEqual(hdf5, False) self.assertEqual(out_path, out_path_default) def test_cli_rki(self): out_path_default = dd.defaultDict['out_folder'] test_args = ["prog", '--rki'] with patch.object(sys, 'argv', test_args): [all_data, rki, jh, popul, hdf5, out_path] = cd.cli() self.assertEqual(all_data, False) self.assertEqual(rki, True) self.assertEqual(jh, False) self.assertEqual(popul, False) self.assertEqual(hdf5, False) self.assertEqual(out_path, out_path_default) def test_cli_jh(self): out_path_default = dd.defaultDict['out_folder'] test_args = ["prog", '-j', '--hdf5'] with patch.object(sys, 'argv', test_args): [all_data, rki, jh, popul, hdf5, out_path] = cd.cli() self.assertEqual(all_data, False) self.assertEqual(rki, False) self.assertEqual(jh, True) self.assertEqual(popul, False) self.assertEqual(hdf5, True) self.assertEqual(out_path, out_path_default) def test_cli_popul(self): out_path_default = dd.defaultDict['out_folder'] test_args = ['prog', '--population', '-h5'] with patch.object(sys, 'argv', test_args): [all_data, rki, jh, popul, hdf5, out_path] = cd.cli() self.assertEqual(all_data, False) self.assertEqual(rki, False) self.assertEqual(jh, False) self.assertEqual(popul, True) self.assertEqual(hdf5, True) self.assertEqual(out_path, out_path_default) if __name__ == '__main__': unittest.main()

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a8be00485d84bd75298acaedb039eee193812015

7,583

py

Python

backend/tests/baserow/contrib/database/formula/test_rename_field_references.py

ashishdhngr/baserow

b098678d2165eb7c42930ee24dc6753a3cb520c3

[ "MIT" ]

1

2022-01-24T15:12:02.000Z

backend/tests/baserow/contrib/database/formula/test_rename_field_references.py

rasata/baserow

c6e1d7842c53f801e1c96b49f1377da2a06afaa9

[ "MIT" ]

null

backend/tests/baserow/contrib/database/formula/test_rename_field_references.py

rasata/baserow

c6e1d7842c53f801e1c96b49f1377da2a06afaa9

[ "MIT" ]

null

import pytest from baserow.contrib.database.formula import FormulaHandler, BaserowFormulaSyntaxError def test_replace_single_quoted_field_ref(): new_formula = FormulaHandler.rename_field_references_in_formula_string( "field('test')", {"test": "new " "test"}, ) assert new_formula == "field('new test')" def test_replace_double_quoted_field_ref(): new_formula = FormulaHandler.rename_field_references_in_formula_string( 'field("test")', {"test": "new test"} ) assert new_formula == 'field("new test")' def test_replace_field_reference_keeping_whitespace(): new_formula = FormulaHandler.rename_field_references_in_formula_string( " \n\tfield('test') \n\t", {"test": "new test"} ) assert new_formula == " \n\tfield('new test') \n\t" def test_replace_field_reference_keeping_whitespace_and_comments(): new_formula = FormulaHandler.rename_field_references_in_formula_string( "//my line comment \n\tfield('test') /*my block comment*/\n\t", {"test": "new " "test"}, ) assert ( new_formula == "//my line comment \n\tfield('new test') /*my block " "comment*/\n\t" ) def test_replace_field_reference_preserving_case(): new_formula = FormulaHandler.rename_field_references_in_formula_string( "//my line comment \n\tADD(fIeLd('test'),1) /*my block comment*/\n\t", {"test": "new " "test"}, ) assert ( new_formula == "//my line comment \n\tADD(fIeLd('new test'),1) /*my block " "comment*/\n\t" ) def test_replace_binary_op_keeping_whitespace_and_comments(): new_formula = FormulaHandler.rename_field_references_in_formula_string( "//my line comment \n\t1+1 /*my block comment*/\n\t", {"test": "new " "test"}, ) assert new_formula == "//my line comment \n\t1+1 /*my block " "comment*/\n\t" def test_replace_function_call_keeping_whitespace_and_comments(): new_formula = FormulaHandler.rename_field_references_in_formula_string( "//my line comment \n\tadd( 1\t \t+\t \t1,\nfield('test')\t) /*my block " "comment*/\n\t", {"test": "new test"}, ) assert ( new_formula == "//my line comment \n\tadd( 1\t \t+\t \t1,\nfield('new " "test')\t) /*my block comment*/\n\t" ) def test_replace_double_quote_field_ref_containing_single_quotes(): new_formula = FormulaHandler.rename_field_references_in_formula_string( 'field("test with \'")', {"test with '": "new test with ' \\' and \" and \\\""} ) assert new_formula == 'field("new test with \' \\\' and \\" and \\\\"")' def test_replace_double_quote_field_ref_containing_double_quotes(): new_formula = FormulaHandler.rename_field_references_in_formula_string( "field('test with \\'')", {"test with '": "new test with ' \\' and \" and \\\""} ) assert new_formula == "field('new test with \\' \\\\' and \" and \\\"')" def test_can_replace_multiple_different_field_references(): new_formula = FormulaHandler.rename_field_references_in_formula_string( 'concat(field("test"), field("test"), field(\'other\'))', {"test": "new test", "other": "new other"}, ) assert ( new_formula == 'concat(field("new test"), field("new test"), ' "field('new other'))" ) def test_leaves_unknown_field_references_along(): new_formula = FormulaHandler.rename_field_references_in_formula_string( "field('test')", {}, ) assert new_formula == "field('test')" def test_raises_with_field_names_for_invalid_syntax(): _assert_raises("field('test'") _assert_raises("field(''''test'") _assert_raises("field(test") _assert_raises("field(1)") _assert_raises("field)") def _assert_raises(formula): with pytest.raises(BaserowFormulaSyntaxError): FormulaHandler.rename_field_references_in_formula_string( formula, { "test": "new test", }, ) def test_replaces_unknown_field_by_id_with_field(): new_formula = FormulaHandler.rename_field_references_in_formula_string( "field_by_id(1)", {}, ) assert new_formula == "field('unknown field 1')" def test_replaces_unknown_field_by_id_with_field_multiple(): new_formula = FormulaHandler.rename_field_references_in_formula_string( "field_by_id(1)+concat(field('a'), field_by_id(2))", {}, ) assert ( new_formula == "field('unknown field 1')+concat(field('a'), field('unknown " "field 2'))" ) def test_replaces_known_field_by_id(): new_formula = FormulaHandler.rename_field_references_in_formula_string( "field_by_id(1)+concat(field('a'), field_by_id(2))", {}, field_ids_to_replace_with_name_refs={1: "test", 2: "other_test"}, ) assert new_formula == "field('test')+concat(field('a'), field('other_test'))" def test_replaces_functions_preserving_case(): new_formula = FormulaHandler.rename_field_references_in_formula_string( "field_by_id(1)+CONCAT(field('a'), field_by_id(2))", {}, field_ids_to_replace_with_name_refs={1: "test", 2: "other_test"}, ) assert new_formula == "field('test')+CONCAT(field('a'), field('other_test'))" def test_replaces_known_field_by_id_single_quotes(): new_formula = FormulaHandler.rename_field_references_in_formula_string( "field_by_id(1)", {}, field_ids_to_replace_with_name_refs={1: "test with ' '", 2: "other_test"}, ) assert new_formula == "field('test with \\' \\'')" def test_replaces_known_field_by_id_double_quotes(): new_formula = FormulaHandler.rename_field_references_in_formula_string( "field_by_id(1)", {}, field_ids_to_replace_with_name_refs={1: 'test with " "', 2: "other_test"}, ) assert new_formula == "field('test with \" \"')" def test_replaces_field_with_field_by_id(): new_formula = FormulaHandler.rename_field_references_in_formula_string( "field('a')", {}, field_names_to_replace_with_id_refs={"a": 1}, ) assert new_formula == "field_by_id(1)" def test_doesnt_replace_unknown_field(): new_formula = FormulaHandler.rename_field_references_in_formula_string( "field('b')+concat(field('a'), field('c'))", {}, field_names_to_replace_with_id_refs={"a": 1}, ) assert new_formula == "field('b')+concat(field_by_id(1), field('c'))" def test_replaces_field_with_single_quotes_with_id(): new_formula = FormulaHandler.rename_field_references_in_formula_string( "field('test with \\' \\'')", {}, field_names_to_replace_with_id_refs={"test with ' '": 1, "other_test": 2}, ) assert new_formula == "field_by_id(1)" def test_replaces_field_with_double_quotes_with_id(): new_formula = FormulaHandler.rename_field_references_in_formula_string( "field('test with \" \"')", {}, field_names_to_replace_with_id_refs={'test with " "': 1, "other_test": 2}, ) assert new_formula == "field_by_id(1)" def test_replaces_lookup(): new_formula = FormulaHandler.rename_field_references_in_formula_string( "lookup('a', 'b')", {"a": "c"} ) assert new_formula == "lookup('c', 'b')" def test_replaces_lookup_when_via_changes(): new_formula = FormulaHandler.rename_field_references_in_formula_string( "lookup('a', 'b')+field('b')", {"b": "c"}, via_field="a" ) assert new_formula == "lookup('a', 'c')+field('b')"

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a8c3c92687b5ae610d29c762aef39e52855153d0

24,075

py

Python

dataprep/clean/clean_ml.py

devinllu/dataprep

d56861e5bed3c608cace74983f797dc729072d0a

[ "MIT" ]

1,229

2019-12-21T02:58:59.000Z

2022-03-30T08:12:33.000Z

dataprep/clean/clean_ml.py

devinllu/dataprep

d56861e5bed3c608cace74983f797dc729072d0a

[ "MIT" ]

680

2019-12-19T06:09:23.000Z

2022-03-31T04:15:25.000Z

dataprep/clean/clean_ml.py

devinllu/dataprep

d56861e5bed3c608cace74983f797dc729072d0a

[ "MIT" ]

170

2020-01-08T03:27:26.000Z

2022-03-20T20:42:55.000Z

""" Implement clean_ml function """ # pylint: disable=too-many-arguments, too-many-locals, too-many-branches from typing import Union, Dict, List, Tuple, Optional, Any import dask.dataframe as dd import pandas as pd from .pipeline import Pipeline from .utils import to_dask, NULL_VALUES def clean_ml( training_df: Union[pd.DataFrame, dd.DataFrame], test_df: Union[pd.DataFrame, dd.DataFrame], target: str = "target", cat_imputation: str = "constant", cat_null_value: Optional[List[Any]] = None, fill_val: str = "missing_value", num_imputation: str = "mean", num_null_value: Optional[List[Any]] = None, cat_encoding: str = "one_hot", variance_threshold: bool = False, variance: float = 0.0, num_scaling: str = "standardize", include_operators: Optional[List[str]] = None, exclude_operators: Optional[List[str]] = None, customized_cat_pipeline: Optional[List[Dict[str, Any]]] = None, customized_num_pipeline: Optional[List[Dict[str, Any]]] = None, ) -> Tuple[pd.DataFrame, pd.DataFrame]: """ This function transforms an arbitrary tabular dataset into a format that's suitable for a typical ML application. Parameters ---------- training_df Training dataframe. Pandas or Dask DataFrame. test_df Test dataframe. Pandas or Dask DataFrame. target Name of target column. String. cat_imputation The mode of imputation for categorical columns. If it equals to "constant", then all missing values are filled with `fill_val`. If it equals to "most_frequent", then all missing values are filled with most frequent value. If it equals to "drop", then all categorical columns with missing values will be dropped. cat_null_value Specified categorical null values which should be recognized. fill_val When cat_imputation = "constant", then all missing values are filled with `fill_val`. num_imputation The mode of imputation for numerical columns. If it equals to "mean", then all missing values are filled with mean value. If it equals to "median", then all missing values are filled with median value. If it equals to "most_frequent", then all missing values are filled with most frequent value. If it equals to "drop", then all numerical columns with missing values will be dropped. num_null_value Specified numerical null values which should be recognized. cat_encoding The mode of encoding categorical columns. If it equals to "one_hot", do one-hot encoding. If it equals to "no_encoding", nothing will be done. variance_threshold If it is True, then dropping numerical columns with variance less than `variance`. variance Variance value when variance_threshold = True. num_scaling The mode of scaling for numerical columns. If it equals to "standardize", do standardize for all numerical columns. If it equals to "minmax", do minmax scaling for all numerical columns. If it equals to "maxabs", do maxabs scaling for all numerical columns. If it equals to "no_scaling", nothing will be done. include_operators Components included for `clean_ml`, like "one_hot", "standardize", etc. exclude_operators Components excluded for `clean_ml`, like "one_hot", "standardize", etc. """ if cat_null_value is None: cat_null_value = list(NULL_VALUES) if num_null_value is None: num_null_value = list(NULL_VALUES) training_df = to_dask(training_df) test_df = to_dask(test_df) col_names = [] for label, _ in training_df.items(): # doctest: +SKIP col_names.append(label) for col_name in col_names: if col_name == target: continue if not customized_cat_pipeline is None and customized_num_pipeline is None: temp_training_df, temp_test_df = format_data_with_customized_cat( training_df[col_name].compute(), test_df[col_name].compute(), num_imputation, num_null_value, variance_threshold, variance, num_scaling, include_operators, exclude_operators, customized_cat_pipeline, ) elif customized_cat_pipeline is None and not customized_num_pipeline is None: temp_training_df, temp_test_df = format_data_with_customized_num( training_df[col_name].compute(), test_df[col_name].compute(), cat_imputation, cat_null_value, fill_val, cat_encoding, include_operators, exclude_operators, customized_num_pipeline, ) elif customized_cat_pipeline is None and customized_num_pipeline is None: temp_training_df, temp_test_df = format_data_with_default( training_df[col_name].compute(), test_df[col_name].compute(), cat_imputation, cat_null_value, fill_val, num_imputation, num_null_value, cat_encoding, variance_threshold, variance, num_scaling, include_operators, exclude_operators, ) elif not customized_cat_pipeline is None and not customized_num_pipeline is None: temp_training_df, temp_test_df = format_data_with_customized_cat_and_num( training_df[col_name].compute(), test_df[col_name].compute(), include_operators, exclude_operators, customized_cat_pipeline, customized_num_pipeline, ) if temp_training_df.values.size > 0: training_df[col_name] = temp_training_df test_df[col_name] = temp_test_df else: training_df = training_df.drop(columns=[col_name]) test_df = test_df.drop(columns=[col_name]) return training_df.compute(), test_df.compute() def format_data_with_customized_cat( training_row: dd.Series, test_row: dd.Series, num_imputation: str = "mean", num_null_value: Optional[List[Any]] = None, variance_threshold: bool = False, variance: float = 0.0, num_scaling: str = "standardize", include_operators: Optional[List[str]] = None, exclude_operators: Optional[List[str]] = None, customized_cat_pipeline: Optional[List[Dict[str, Any]]] = None, ) -> Tuple[dd.Series, dd.Series]: """ This function transforms an arbitrary tabular dataset into a format that's suitable for a typical ML application. Customized categorical pipeline and related parameters should be provided by users Parameters ---------- training_row One column of training dataset. Dask Series. test_row One column of test dataset. Dask Series. num_imputation The mode of imputation for numerical columns. If it equals to "mean", then all missing values are filled with mean value. If it equals to "median", then all missing values are filled with median value. If it equals to "most_frequent", then all missing values are filled with most frequent value. If it equals to "drop", then all numerical columns with missing values will be dropped. num_null_value Specified numerical null values which should be recognized. variance_threshold If it is True, then dropping numerical columns with variance less than `variance`. variance Variance value when variance_threshold = True. num_scaling The mode of scaling for numerical columns. If it equals to "standardize", do standardize for all numerical columns. If it equals to "minmax", do minmax scaling for all numerical columns. If it equals to "maxabs", do maxabs scaling for all numerical columns. If it equals to "no_scaling", nothing will be done. include_operators Components included for `clean_ml`, like "one_hot", "standardize", etc. exclude_operators Components excluded for `clean_ml`, like "one_hot", "standardize", etc. customized_cat_pipeline User-specified pipeline managing categorical columns. """ cat_pipe_info: Dict[str, Any] = {} cat_pipeline = [] if not customized_cat_pipeline is None: for item in customized_cat_pipeline: (component_key,) = item cat_pipeline.append(component_key) cat_pipe_info["cat_pipeline"] = cat_pipeline for item in customized_cat_pipeline: (component_key,) = item if ( not exclude_operators is None and item[component_key]["operator"] in exclude_operators ) or ( not include_operators is None and item[component_key]["operator"] not in include_operators ): cat_pipe_info[component_key] = None continue for key in item[component_key]: if key == "operator": cat_pipe_info[component_key] = item[component_key][key] else: cat_pipe_info[key] = item[component_key][key] num_pipe_info: Dict[str, Any] = {} if variance_threshold: num_pipe_info["num_pipeline"] = [ "num_imputation", "variance_threshold", "num_scaling", ] num_pipe_info["variance_threshold"] = variance_threshold num_pipe_info["variance"] = variance else: num_pipe_info["num_pipeline"] = ["num_imputation", "num_scaling"] if (not exclude_operators is None and num_imputation in exclude_operators) or ( not include_operators is None and num_imputation not in include_operators ): num_pipe_info["num_imputation"] = None num_pipe_info["num_null_value"] = None else: num_pipe_info["num_imputation"] = num_imputation num_pipe_info["num_null_value"] = num_null_value if (not exclude_operators is None and num_scaling in exclude_operators) or ( not include_operators is None and num_scaling not in include_operators ): num_pipe_info["num_scaling"] = None else: num_pipe_info["num_scaling"] = num_scaling if num_scaling == "no_scaling": num_pipe_info["num_scaling"] = None else: num_pipe_info["num_scaling"] = num_scaling clean_pipeline = Pipeline(cat_pipe_info, num_pipe_info) training_result, test_result = clean_pipeline.fit_transform(training_row, test_row) return training_result, test_result def format_data_with_customized_num( training_row: dd.Series, test_row: dd.Series, cat_imputation: str = "constant", cat_null_value: Optional[List[Any]] = None, fill_val: str = "missing_value", cat_encoding: str = "one_hot", include_operators: Optional[List[str]] = None, exclude_operators: Optional[List[str]] = None, customized_num_pipeline: Optional[List[Dict[str, Any]]] = None, ) -> Tuple[dd.Series, dd.Series]: """ This function transforms an arbitrary tabular dataset into a format that's suitable for a typical ML application. Customized numerical pipeline and related parameters should be provided by users Parameters ---------- training_row One column of training dataset. Dask Series. test_row One column of test dataset. Dask Series. cat_imputation The mode of imputation for categorical columns. If it equals to "constant", then all missing values are filled with `fill_val`. If it equals to "most_frequent", then all missing values are filled with most frequent value. If it equals to "drop", then all categorical columns with missing values will be dropped. cat_null_value Specified categorical null values which should be recognized. fill_val When cat_imputation = "constant", then all missing values are filled with `fill_val`. cat_encoding The mode of encoding categorical columns. If it equals to "one_hot", do one-hot encoding. If it equals to "no_encoding", nothing will be done. include_operators Components included for `clean_ml`, like "one_hot", "standardize", etc. exclude_operators Components excluded for `clean_ml`, like "one_hot", "standardize", etc. customized_num_pipeline User-specified pipeline managing numerical columns. """ cat_pipe_info: Dict[str, Any] = {} cat_pipe_info["cat_pipeline"] = ["cat_imputation", "cat_encoding"] # cat_pipe_info['cat_pipeline'] = ['cat_imputation'] if (not exclude_operators is None and cat_imputation in exclude_operators) or ( not include_operators is None and cat_imputation not in include_operators ): cat_pipe_info["cat_imputation"] = None cat_pipe_info["cat_null_value"] = None cat_pipe_info["fill_val"] = None else: cat_pipe_info["cat_imputation"] = cat_imputation cat_pipe_info["cat_null_value"] = cat_null_value cat_pipe_info["fill_val"] = fill_val if (not exclude_operators is None and cat_encoding in exclude_operators) or ( not include_operators is None and cat_encoding not in include_operators ): cat_pipe_info["cat_encoding"] = None else: cat_pipe_info["cat_encoding"] = cat_encoding if cat_encoding == "no_encoding": cat_pipe_info["cat_encoding"] = None else: cat_pipe_info["cat_encoding"] = cat_encoding num_pipe_info: Dict[str, Any] = {} num_pipeline = [] if not customized_num_pipeline is None: for item in customized_num_pipeline: (component_key,) = item num_pipeline.append(component_key) num_pipe_info["num_pipeline"] = num_pipeline for item in customized_num_pipeline: (component_key,) = item if ( not exclude_operators is None and item[component_key]["operator"] in exclude_operators ) or ( not include_operators is None and item[component_key]["operator"] not in include_operators ): num_pipe_info[component_key] = None continue for key in item[component_key]: if key == "operator": num_pipe_info[component_key] = item[component_key][key] else: num_pipe_info[key] = item[component_key][key] clean_pipeline = Pipeline(cat_pipe_info, num_pipe_info) training_result, test_result = clean_pipeline.fit_transform(training_row, test_row) return training_result, test_result def format_data_with_default( training_row: dd.Series, test_row: dd.Series, cat_imputation: str = "constant", cat_null_value: Optional[List[Any]] = None, fill_val: str = "missing_value", num_imputation: str = "mean", num_null_value: Optional[List[Any]] = None, cat_encoding: str = "one_hot", variance_threshold: bool = True, variance: float = 0.0, num_scaling: str = "standardize", include_operators: Optional[List[str]] = None, exclude_operators: Optional[List[str]] = None, ) -> Tuple[dd.Series, dd.Series]: """ This function transforms an arbitrary tabular dataset into a format that's suitable for a typical ML application. No customized pipeline should be provided. Use default pipeline. Parameters ---------- training_row One column of training dataset. Dask Series. test_row One column of test dataset. Dask Series. cat_imputation The mode of imputation for categorical columns. If it equals to "constant", then all missing values are filled with `fill_val`. If it equals to "most_frequent", then all missing values are filled with most frequent value. If it equals to "drop", then all categorical columns with missing values will be dropped. cat_null_value Specified categorical null values which should be recognized. fill_val When cat_imputation = "constant", then all missing values are filled with `fill_val`. num_imputation The mode of imputation for numerical columns. If it equals to "mean", then all missing values are filled with mean value. If it equals to "median", then all missing values are filled with median value. If it equals to "most_frequent", then all missing values are filled with most frequent value. If it equals to "drop", then all numerical columns with missing values will be dropped. num_null_value Specified numerical null values which should be recognized. cat_encoding The mode of encoding categorical columns. If it equals to "one_hot", do one-hot encoding. If it equals to "no_encoding", nothing will be done. variance_threshold If it is True, then dropping numerical columns with variance less than `variance`. variance Variance value when variance_threshold = True. num_scaling The mode of scaling for numerical columns. If it equals to "standardize", do standardize for all numerical columns. If it equals to "minmax", do minmax scaling for all numerical columns. If it equals to "maxabs", do maxabs scaling for all numerical columns. If it equals to "no_scaling", nothing will be done. include_operators Components included for `clean_ml`, like "one_hot", "standardize", etc. exclude_operators Components excluded for `clean_ml`, like "one_hot", "standardize", etc. """ cat_pipe_info: Dict[str, Any] = {} cat_pipe_info["cat_pipeline"] = ["cat_imputation", "cat_encoding"] # cat_pipe_info['cat_pipeline'] = ['cat_imputation'] if (not exclude_operators is None and cat_imputation in exclude_operators) or ( not include_operators is None and cat_imputation not in include_operators ): cat_pipe_info["cat_imputation"] = None cat_pipe_info["cat_null_value"] = None cat_pipe_info["fill_val"] = None else: cat_pipe_info["cat_imputation"] = cat_imputation cat_pipe_info["cat_null_value"] = cat_null_value cat_pipe_info["fill_val"] = fill_val if (not exclude_operators is None and cat_encoding in exclude_operators) or ( not include_operators is None and cat_encoding not in include_operators ): cat_pipe_info["cat_encoding"] = None else: cat_pipe_info["cat_encoding"] = cat_encoding if cat_encoding == "no_encoding": cat_pipe_info["cat_encoding"] = None else: cat_pipe_info["cat_encoding"] = cat_encoding num_pipe_info: Dict[str, Any] = {} if variance_threshold: num_pipe_info["num_pipeline"] = [ "num_imputation", "variance_threshold", "num_scaling", ] num_pipe_info["variance_threshold"] = variance_threshold num_pipe_info["variance"] = variance else: num_pipe_info["num_pipeline"] = ["num_imputation", "num_scaling"] # num_pipe_info['num_pipeline'] = ['num_imputation', 'num_scaling'] if (not exclude_operators is None and num_imputation in exclude_operators) or ( not include_operators is None and num_imputation not in include_operators ): num_pipe_info["num_imputation"] = None num_pipe_info["num_null_value"] = None else: num_pipe_info["num_imputation"] = num_imputation num_pipe_info["num_null_value"] = num_null_value if (not exclude_operators is None and num_scaling in exclude_operators) or ( not include_operators is None and num_scaling not in include_operators ): num_pipe_info["num_scaling"] = None else: num_pipe_info["num_scaling"] = num_scaling if num_scaling == "no_scaling": num_pipe_info["num_scaling"] = None else: num_pipe_info["num_scaling"] = num_scaling clean_pipeline = Pipeline(cat_pipe_info, num_pipe_info) training_result, test_result = clean_pipeline.fit_transform(training_row, test_row) return training_result, test_result def format_data_with_customized_cat_and_num( training_row: dd.Series, test_row: dd.Series, include_operators: Optional[List[str]] = None, exclude_operators: Optional[List[str]] = None, customized_cat_pipeline: Optional[List[Dict[str, Any]]] = None, customized_num_pipeline: Optional[List[Dict[str, Any]]] = None, ) -> Tuple[dd.Series, dd.Series]: """ This function transforms an arbitrary tabular dataset into a format that's suitable for a typical ML application. Both customized pipeline managing categorical columns and numerical columns should be provided. Parameters ---------- training_row One column of training dataset. Dask Series. test_row One column of test dataset. Dask Series. include_operators Components included for `clean_ml`, like "one_hot", "standardize", etc. exclude_operators Components excluded for `clean_ml`, like "one_hot", "standardize", etc. customized_cat_pipeline User-specified pipeline managing categorical columns. customized_num_pipeline User-specified pipeline managing numerical columns. """ cat_pipe_info: Dict[str, Any] = {} cat_pipeline = [] if not customized_cat_pipeline is None: for item in customized_cat_pipeline: (component_key,) = item cat_pipeline.append(component_key) cat_pipe_info["cat_pipeline"] = cat_pipeline for item in customized_cat_pipeline: (component_key,) = item if ( not exclude_operators is None and item[component_key]["operator"] in exclude_operators ) or ( not include_operators is None and item[component_key]["operator"] not in include_operators ): cat_pipe_info[component_key] = None continue for key in item[component_key]: if key == "operator": cat_pipe_info[component_key] = item[component_key][key] else: cat_pipe_info[key] = item[component_key][key] num_pipe_info: Dict[str, Any] = {} num_pipeline = [] if not customized_num_pipeline is None: for item in customized_num_pipeline: (component_key,) = item num_pipeline.append(component_key) num_pipe_info["num_pipeline"] = num_pipeline for item in customized_num_pipeline: (component_key,) = item if ( not exclude_operators is None and item[component_key]["operator"] in exclude_operators ) or ( not include_operators is None and item[component_key]["operator"] not in include_operators ): num_pipe_info[component_key] = None continue for key in item[component_key]: if key == "operator": num_pipe_info[component_key] = item[component_key][key] else: num_pipe_info[key] = item[component_key][key] clean_pipeline = Pipeline(cat_pipe_info, num_pipe_info) training_result, test_result = clean_pipeline.fit_transform(training_row, test_row) return training_result, test_result

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763c438db1ecf26e705114dd7f7484791bc07662

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py

Python

recordExample.py

bhkj9999/warmane

e18bf7aa436908cb05ac0b7ec361ee23bec773b1

[ "MIT" ]

null

recordExample.py

bhkj9999/warmane

e18bf7aa436908cb05ac0b7ec361ee23bec773b1

[ "MIT" ]

null

recordExample.py

bhkj9999/warmane

e18bf7aa436908cb05ac0b7ec361ee23bec773b1

[ "MIT" ]

null

md5 = "2ef00178e187c6e9f5cb1490386128d6"

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py

Python

App/migrations/0003_alter_song_dance_type_alter_song_holiday_and_more.py

dlanghorne0428/StudioMusicPlayer

54dabab896b96d90b68d6435edfd52fe6a866bc2

[ "MIT" ]

null

App/migrations/0003_alter_song_dance_type_alter_song_holiday_and_more.py

dlanghorne0428/StudioMusicPlayer

54dabab896b96d90b68d6435edfd52fe6a866bc2

[ "MIT" ]

44

2022-01-21T01:33:59.000Z

2022-03-26T23:35:25.000Z

App/migrations/0003_alter_song_dance_type_alter_song_holiday_and_more.py

dlanghorne0428/StudioMusicPlayer

54dabab896b96d90b68d6435edfd52fe6a866bc2

[ "MIT" ]

null

# Generated by Django 4.0 on 2022-02-14 03:24 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('App', '0002_playlist_owner'), ] operations = [ migrations.AlterField( model_name='song', name='dance_type', field=models.CharField(choices=[('Bac', 'Bachata'), ('Bol', 'Bolero'), ('Cha', 'Cha-Cha'), ('C2S', 'Country Two Step'), ('ECS', 'East Coast Swing'), ('Fox', 'Foxtrot'), ('Hus', 'Hustle'), ('Jiv', 'Jive'), ('Mam', 'Mambo/Salsa'), ('Mer', 'Merengue'), ('NC2', 'Nite Club 2-Step'), ('PD', 'Paso Doble'), ('Pea', 'Peabody'), ('Q', 'Quickstep'), ('Rum', 'Rumba'), ('Sam', 'Samba'), ('Tan', 'Tango'), ('VW', 'Viennese Waltz'), ('Wal', 'Waltz'), ('WCS', 'West Coast Swing')], default='Cha', max_length=10), ), migrations.AlterField( model_name='song', name='holiday', field=models.CharField(blank=True, choices=[('Jul4', '4th of July'), ('Hall', 'Halloween'), ('Xmas', 'Christmas'), ('NYE', "New Year's Eve")], default='', max_length=5), ), migrations.AlterField( model_name='songfileinput', name='dance_type', field=models.CharField(choices=[('Bac', 'Bachata'), ('Bol', 'Bolero'), ('Cha', 'Cha-Cha'), ('C2S', 'Country Two Step'), ('ECS', 'East Coast Swing'), ('Fox', 'Foxtrot'), ('Hus', 'Hustle'), ('Jiv', 'Jive'), ('Mam', 'Mambo/Salsa'), ('Mer', 'Merengue'), ('NC2', 'Nite Club 2-Step'), ('PD', 'Paso Doble'), ('Pea', 'Peabody'), ('Q', 'Quickstep'), ('Rum', 'Rumba'), ('Sam', 'Samba'), ('Tan', 'Tango'), ('VW', 'Viennese Waltz'), ('Wal', 'Waltz'), ('WCS', 'West Coast Swing')], default='Cha', max_length=10), ), migrations.AlterField( model_name='songfileinput', name='holiday', field=models.CharField(blank=True, choices=[('Jul4', '4th of July'), ('Hall', 'Halloween'), ('Xmas', 'Christmas'), ('NYE', "New Year's Eve")], default='', max_length=5), ), ]

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0.106033

0.870201

0.786106

0

0.020897

0.20206

2,039

33

512

61.787879

0.651506

0.021089

0

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0

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1

0

null

0

8

768929c02f0a6e19fc4817ee36305d4a2cdc1465

49

py

Python

medgpc/evaluation/__init__.py

bee-hive/MedGP

596a24ca519900507cce42cb4e2061319cef801e

[ "BSD-3-Clause" ]

25

2018-03-18T18:09:03.000Z

2022-02-24T07:47:33.000Z

medgpc/evaluation/__init__.py

bee-hive/MedGP

596a24ca519900507cce42cb4e2061319cef801e

[ "BSD-3-Clause" ]

3

2021-04-12T16:11:00.000Z

2021-04-12T16:26:17.000Z

medgpc/evaluation/__init__.py

bee-hive/MedGP

596a24ca519900507cce42cb4e2061319cef801e

[ "BSD-3-Clause" ]

4

2019-04-27T23:18:26.000Z

2021-12-03T20:19:09.000Z

from . import evals from . import run_medgpc_eval

24.5

29

0.816327

8

49

4.75

0.75

0.526316

0

0.142857

49

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76a63457086d063c00e2d943a130393c23f2defa

127,659

py

Python

napalm_yang/models/openconfig/network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/__init__.py

ckishimo/napalm-yang

8f2bd907bd3afcde3c2f8e985192de74748baf6c

[ "Apache-2.0" ]

64

2016-10-20T15:47:18.000Z

2021-11-11T11:57:32.000Z

napalm_yang/models/openconfig/network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/__init__.py

ckishimo/napalm-yang

8f2bd907bd3afcde3c2f8e985192de74748baf6c

[ "Apache-2.0" ]

126

2016-10-05T10:36:14.000Z

2019-05-15T08:43:23.000Z

napalm_yang/models/openconfig/network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/__init__.py

ckishimo/napalm-yang

8f2bd907bd3afcde3c2f8e985192de74748baf6c

[ "Apache-2.0" ]

63

2016-11-07T15:23:08.000Z

2021-09-22T14:41:16.000Z

# -*- coding: utf-8 -*- from operator import attrgetter from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType from pyangbind.lib.yangtypes import RestrictedClassType from pyangbind.lib.yangtypes import TypedListType from pyangbind.lib.yangtypes import YANGBool from pyangbind.lib.yangtypes import YANGListType from pyangbind.lib.yangtypes import YANGDynClass from pyangbind.lib.yangtypes import ReferenceType from pyangbind.lib.base import PybindBase from collections import OrderedDict from decimal import Decimal from bitarray import bitarray import six # PY3 support of some PY2 keywords (needs improved) if six.PY3: import builtins as __builtin__ long = int elif six.PY2: import __builtin__ class state(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-network-instance - based on the path /network-instances/network-instance/protocols/protocol/ospfv2/areas/area/virtual-links/virtual-link/state. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: State parameters relating to the OSPF virtual link """ __slots__ = ( "_path_helper", "_extmethods", "__remote_router_id", "__priority", "__dead_time", "__designated_router", "__backup_designated_router", "__optional_capabilities", "__last_established_time", "__adjacency_state", "__state_changes", "__retranmission_queue_length", ) _yang_name = "state" _pybind_generated_by = "container" def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__remote_router_id = YANGDynClass( base=RestrictedClassType( base_type=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), restriction_dict={"pattern": "[0-9\\.]*"}, ), is_leaf=True, yang_name="remote-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ipv4-address-no-zone", is_config=False, ) self.__priority = YANGDynClass( base=RestrictedClassType( base_type=int, restriction_dict={"range": ["0..255"]}, int_size=8 ), is_leaf=True, yang_name="priority", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint8", is_config=False, ) self.__dead_time = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="dead-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-types:timeticks64", is_config=False, ) self.__designated_router = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])" }, ), is_leaf=True, yang_name="designated-router", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="yang:dotted-quad", is_config=False, ) self.__backup_designated_router = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])" }, ), is_leaf=True, yang_name="backup-designated-router", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="yang:dotted-quad", is_config=False, ) self.__optional_capabilities = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_dict={"pattern": "([0-9a-fA-F]{2}(:[0-9a-fA-F]{2})*)?"}, ), is_leaf=True, yang_name="optional-capabilities", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="yang:hex-string", is_config=False, ) self.__last_established_time = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="last-established-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-types:timeticks64", is_config=False, ) self.__adjacency_state = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "DOWN": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:DOWN": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:DOWN": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "ATTEMPT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:ATTEMPT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:ATTEMPT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "INIT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:INIT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:INIT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "TWO_WAY": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:TWO_WAY": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:TWO_WAY": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "EXSTART": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:EXSTART": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:EXSTART": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "EXCHANGE": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:EXCHANGE": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:EXCHANGE": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "LOADING": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:LOADING": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:LOADING": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "FULL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:FULL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:FULL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, }, ), is_leaf=True, yang_name="adjacency-state", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) self.__state_changes = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), is_leaf=True, yang_name="state-changes", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint32", is_config=False, ) self.__retranmission_queue_length = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), is_leaf=True, yang_name="retranmission-queue-length", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint32", is_config=False, ) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path() + [self._yang_name] else: return [ "network-instances", "network-instance", "protocols", "protocol", "ospfv2", "areas", "area", "virtual-links", "virtual-link", "state", ] def _get_remote_router_id(self): """ Getter method for remote_router_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/remote_router_id (inet:ipv4-address-no-zone) YANG Description: The router ID of the device which terminates the remote end of the virtual link """ return self.__remote_router_id def _set_remote_router_id(self, v, load=False): """ Setter method for remote_router_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/remote_router_id (inet:ipv4-address-no-zone) If this variable is read-only (config: false) in the source YANG file, then _set_remote_router_id is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_remote_router_id() directly. YANG Description: The router ID of the device which terminates the remote end of the virtual link """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), restriction_dict={"pattern": "[0-9\\.]*"}, ), is_leaf=True, yang_name="remote-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ipv4-address-no-zone", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """remote_router_id must be of a type compatible with inet:ipv4-address-no-zone""", "defined-type": "inet:ipv4-address-no-zone", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9\\.]*'}), is_leaf=True, yang_name="remote-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv4-address-no-zone', is_config=False)""", } ) self.__remote_router_id = t if hasattr(self, "_set"): self._set() def _unset_remote_router_id(self): self.__remote_router_id = YANGDynClass( base=RestrictedClassType( base_type=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), restriction_dict={"pattern": "[0-9\\.]*"}, ), is_leaf=True, yang_name="remote-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ipv4-address-no-zone", is_config=False, ) def _get_priority(self): """ Getter method for priority, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/priority (uint8) YANG Description: The remote system's priority to become the designated router """ return self.__priority def _set_priority(self, v, load=False): """ Setter method for priority, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/priority (uint8) If this variable is read-only (config: false) in the source YANG file, then _set_priority is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_priority() directly. YANG Description: The remote system's priority to become the designated router """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=int, restriction_dict={"range": ["0..255"]}, int_size=8 ), is_leaf=True, yang_name="priority", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint8", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """priority must be of a type compatible with uint8""", "defined-type": "uint8", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..255']}, int_size=8), is_leaf=True, yang_name="priority", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='uint8', is_config=False)""", } ) self.__priority = t if hasattr(self, "_set"): self._set() def _unset_priority(self): self.__priority = YANGDynClass( base=RestrictedClassType( base_type=int, restriction_dict={"range": ["0..255"]}, int_size=8 ), is_leaf=True, yang_name="priority", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint8", is_config=False, ) def _get_dead_time(self): """ Getter method for dead_time, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/dead_time (oc-types:timeticks64) YANG Description: The time at which this neighbor's adjacency will be considered dead. This value is expressed as a number of seconds since the Unix Epoch """ return self.__dead_time def _set_dead_time(self, v, load=False): """ Setter method for dead_time, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/dead_time (oc-types:timeticks64) If this variable is read-only (config: false) in the source YANG file, then _set_dead_time is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_dead_time() directly. YANG Description: The time at which this neighbor's adjacency will be considered dead. This value is expressed as a number of seconds since the Unix Epoch """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="dead-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-types:timeticks64", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """dead_time must be of a type compatible with oc-types:timeticks64""", "defined-type": "oc-types:timeticks64", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..18446744073709551615']}, int_size=64), is_leaf=True, yang_name="dead-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-types:timeticks64', is_config=False)""", } ) self.__dead_time = t if hasattr(self, "_set"): self._set() def _unset_dead_time(self): self.__dead_time = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="dead-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-types:timeticks64", is_config=False, ) def _get_designated_router(self): """ Getter method for designated_router, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/designated_router (yang:dotted-quad) YANG Description: The designated router for the adjacency. This device advertises the Network LSA for broadcast and NBMA networks. """ return self.__designated_router def _set_designated_router(self, v, load=False): """ Setter method for designated_router, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/designated_router (yang:dotted-quad) If this variable is read-only (config: false) in the source YANG file, then _set_designated_router is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_designated_router() directly. YANG Description: The designated router for the adjacency. This device advertises the Network LSA for broadcast and NBMA networks. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])" }, ), is_leaf=True, yang_name="designated-router", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="yang:dotted-quad", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """designated_router must be of a type compatible with yang:dotted-quad""", "defined-type": "yang:dotted-quad", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])'}), is_leaf=True, yang_name="designated-router", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='yang:dotted-quad', is_config=False)""", } ) self.__designated_router = t if hasattr(self, "_set"): self._set() def _unset_designated_router(self): self.__designated_router = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])" }, ), is_leaf=True, yang_name="designated-router", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="yang:dotted-quad", is_config=False, ) def _get_backup_designated_router(self): """ Getter method for backup_designated_router, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/backup_designated_router (yang:dotted-quad) YANG Description: The backup designated router for the adjacency. """ return self.__backup_designated_router def _set_backup_designated_router(self, v, load=False): """ Setter method for backup_designated_router, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/backup_designated_router (yang:dotted-quad) If this variable is read-only (config: false) in the source YANG file, then _set_backup_designated_router is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_backup_designated_router() directly. YANG Description: The backup designated router for the adjacency. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])" }, ), is_leaf=True, yang_name="backup-designated-router", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="yang:dotted-quad", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """backup_designated_router must be of a type compatible with yang:dotted-quad""", "defined-type": "yang:dotted-quad", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])'}), is_leaf=True, yang_name="backup-designated-router", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='yang:dotted-quad', is_config=False)""", } ) self.__backup_designated_router = t if hasattr(self, "_set"): self._set() def _unset_backup_designated_router(self): self.__backup_designated_router = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])" }, ), is_leaf=True, yang_name="backup-designated-router", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="yang:dotted-quad", is_config=False, ) def _get_optional_capabilities(self): """ Getter method for optional_capabilities, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/optional_capabilities (yang:hex-string) YANG Description: The optional capabilities field received in the Hello message from the neighbor """ return self.__optional_capabilities def _set_optional_capabilities(self, v, load=False): """ Setter method for optional_capabilities, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/optional_capabilities (yang:hex-string) If this variable is read-only (config: false) in the source YANG file, then _set_optional_capabilities is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_optional_capabilities() directly. YANG Description: The optional capabilities field received in the Hello message from the neighbor """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=six.text_type, restriction_dict={"pattern": "([0-9a-fA-F]{2}(:[0-9a-fA-F]{2})*)?"}, ), is_leaf=True, yang_name="optional-capabilities", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="yang:hex-string", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """optional_capabilities must be of a type compatible with yang:hex-string""", "defined-type": "yang:hex-string", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '([0-9a-fA-F]{2}(:[0-9a-fA-F]{2})*)?'}), is_leaf=True, yang_name="optional-capabilities", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='yang:hex-string', is_config=False)""", } ) self.__optional_capabilities = t if hasattr(self, "_set"): self._set() def _unset_optional_capabilities(self): self.__optional_capabilities = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_dict={"pattern": "([0-9a-fA-F]{2}(:[0-9a-fA-F]{2})*)?"}, ), is_leaf=True, yang_name="optional-capabilities", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="yang:hex-string", is_config=False, ) def _get_last_established_time(self): """ Getter method for last_established_time, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/last_established_time (oc-types:timeticks64) YANG Description: The time at which the adjacency was last established with the neighbor. That is to say the time at which the adjacency last transitioned into the FULL state. This value is expressed as the number of seconds, relative to the Unix Epoch (Jan 1, 1970 00:00:00 UTC). """ return self.__last_established_time def _set_last_established_time(self, v, load=False): """ Setter method for last_established_time, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/last_established_time (oc-types:timeticks64) If this variable is read-only (config: false) in the source YANG file, then _set_last_established_time is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_last_established_time() directly. YANG Description: The time at which the adjacency was last established with the neighbor. That is to say the time at which the adjacency last transitioned into the FULL state. This value is expressed as the number of seconds, relative to the Unix Epoch (Jan 1, 1970 00:00:00 UTC). """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="last-established-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-types:timeticks64", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """last_established_time must be of a type compatible with oc-types:timeticks64""", "defined-type": "oc-types:timeticks64", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..18446744073709551615']}, int_size=64), is_leaf=True, yang_name="last-established-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-types:timeticks64', is_config=False)""", } ) self.__last_established_time = t if hasattr(self, "_set"): self._set() def _unset_last_established_time(self): self.__last_established_time = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="last-established-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-types:timeticks64", is_config=False, ) def _get_adjacency_state(self): """ Getter method for adjacency_state, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/adjacency_state (identityref) YANG Description: The state of the adjacency with the neighbor. """ return self.__adjacency_state def _set_adjacency_state(self, v, load=False): """ Setter method for adjacency_state, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/adjacency_state (identityref) If this variable is read-only (config: false) in the source YANG file, then _set_adjacency_state is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_adjacency_state() directly. YANG Description: The state of the adjacency with the neighbor. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "DOWN": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:DOWN": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:DOWN": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "ATTEMPT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:ATTEMPT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:ATTEMPT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "INIT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:INIT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:INIT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "TWO_WAY": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:TWO_WAY": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:TWO_WAY": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "EXSTART": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:EXSTART": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:EXSTART": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "EXCHANGE": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:EXCHANGE": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:EXCHANGE": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "LOADING": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:LOADING": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:LOADING": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "FULL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:FULL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:FULL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, }, ), is_leaf=True, yang_name="adjacency-state", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """adjacency_state must be of a type compatible with identityref""", "defined-type": "openconfig-network-instance:identityref", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'DOWN': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:DOWN': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:DOWN': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'ATTEMPT': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:ATTEMPT': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:ATTEMPT': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'INIT': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:INIT': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:INIT': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'TWO_WAY': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:TWO_WAY': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:TWO_WAY': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'EXSTART': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:EXSTART': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:EXSTART': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'EXCHANGE': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:EXCHANGE': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:EXCHANGE': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'LOADING': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:LOADING': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:LOADING': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'FULL': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:FULL': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:FULL': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}},), is_leaf=True, yang_name="adjacency-state", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='identityref', is_config=False)""", } ) self.__adjacency_state = t if hasattr(self, "_set"): self._set() def _unset_adjacency_state(self): self.__adjacency_state = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "DOWN": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:DOWN": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:DOWN": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "ATTEMPT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:ATTEMPT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:ATTEMPT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "INIT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:INIT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:INIT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "TWO_WAY": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:TWO_WAY": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:TWO_WAY": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "EXSTART": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:EXSTART": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:EXSTART": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "EXCHANGE": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:EXCHANGE": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:EXCHANGE": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "LOADING": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:LOADING": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:LOADING": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "FULL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:FULL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:FULL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, }, ), is_leaf=True, yang_name="adjacency-state", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) def _get_state_changes(self): """ Getter method for state_changes, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/state_changes (uint32) YANG Description: The number of transitions out of the FULL state that this neighbor has been through """ return self.__state_changes def _set_state_changes(self, v, load=False): """ Setter method for state_changes, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/state_changes (uint32) If this variable is read-only (config: false) in the source YANG file, then _set_state_changes is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_state_changes() directly. YANG Description: The number of transitions out of the FULL state that this neighbor has been through """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), is_leaf=True, yang_name="state-changes", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint32", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """state_changes must be of a type compatible with uint32""", "defined-type": "uint32", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="state-changes", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='uint32', is_config=False)""", } ) self.__state_changes = t if hasattr(self, "_set"): self._set() def _unset_state_changes(self): self.__state_changes = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), is_leaf=True, yang_name="state-changes", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint32", is_config=False, ) def _get_retranmission_queue_length(self): """ Getter method for retranmission_queue_length, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/retranmission_queue_length (uint32) YANG Description: The number of LSAs that are currently in the queue to be retransmitted to the neighbor """ return self.__retranmission_queue_length def _set_retranmission_queue_length(self, v, load=False): """ Setter method for retranmission_queue_length, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/retranmission_queue_length (uint32) If this variable is read-only (config: false) in the source YANG file, then _set_retranmission_queue_length is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_retranmission_queue_length() directly. YANG Description: The number of LSAs that are currently in the queue to be retransmitted to the neighbor """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), is_leaf=True, yang_name="retranmission-queue-length", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint32", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """retranmission_queue_length must be of a type compatible with uint32""", "defined-type": "uint32", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="retranmission-queue-length", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='uint32', is_config=False)""", } ) self.__retranmission_queue_length = t if hasattr(self, "_set"): self._set() def _unset_retranmission_queue_length(self): self.__retranmission_queue_length = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), is_leaf=True, yang_name="retranmission-queue-length", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint32", is_config=False, ) remote_router_id = __builtin__.property(_get_remote_router_id) priority = __builtin__.property(_get_priority) dead_time = __builtin__.property(_get_dead_time) designated_router = __builtin__.property(_get_designated_router) backup_designated_router = __builtin__.property(_get_backup_designated_router) optional_capabilities = __builtin__.property(_get_optional_capabilities) last_established_time = __builtin__.property(_get_last_established_time) adjacency_state = __builtin__.property(_get_adjacency_state) state_changes = __builtin__.property(_get_state_changes) retranmission_queue_length = __builtin__.property(_get_retranmission_queue_length) _pyangbind_elements = OrderedDict( [ ("remote_router_id", remote_router_id), ("priority", priority), ("dead_time", dead_time), ("designated_router", designated_router), ("backup_designated_router", backup_designated_router), ("optional_capabilities", optional_capabilities), ("last_established_time", last_established_time), ("adjacency_state", adjacency_state), ("state_changes", state_changes), ("retranmission_queue_length", retranmission_queue_length), ] ) class state(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-network-instance-l2 - based on the path /network-instances/network-instance/protocols/protocol/ospfv2/areas/area/virtual-links/virtual-link/state. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: State parameters relating to the OSPF virtual link """ __slots__ = ( "_path_helper", "_extmethods", "__remote_router_id", "__priority", "__dead_time", "__designated_router", "__backup_designated_router", "__optional_capabilities", "__last_established_time", "__adjacency_state", "__state_changes", "__retranmission_queue_length", ) _yang_name = "state" _pybind_generated_by = "container" def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__remote_router_id = YANGDynClass( base=RestrictedClassType( base_type=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), restriction_dict={"pattern": "[0-9\\.]*"}, ), is_leaf=True, yang_name="remote-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ipv4-address-no-zone", is_config=False, ) self.__priority = YANGDynClass( base=RestrictedClassType( base_type=int, restriction_dict={"range": ["0..255"]}, int_size=8 ), is_leaf=True, yang_name="priority", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint8", is_config=False, ) self.__dead_time = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="dead-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-types:timeticks64", is_config=False, ) self.__designated_router = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])" }, ), is_leaf=True, yang_name="designated-router", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="yang:dotted-quad", is_config=False, ) self.__backup_designated_router = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])" }, ), is_leaf=True, yang_name="backup-designated-router", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="yang:dotted-quad", is_config=False, ) self.__optional_capabilities = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_dict={"pattern": "([0-9a-fA-F]{2}(:[0-9a-fA-F]{2})*)?"}, ), is_leaf=True, yang_name="optional-capabilities", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="yang:hex-string", is_config=False, ) self.__last_established_time = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="last-established-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-types:timeticks64", is_config=False, ) self.__adjacency_state = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "DOWN": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:DOWN": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:DOWN": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "ATTEMPT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:ATTEMPT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:ATTEMPT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "INIT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:INIT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:INIT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "TWO_WAY": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:TWO_WAY": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:TWO_WAY": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "EXSTART": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:EXSTART": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:EXSTART": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "EXCHANGE": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:EXCHANGE": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:EXCHANGE": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "LOADING": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:LOADING": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:LOADING": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "FULL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:FULL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:FULL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, }, ), is_leaf=True, yang_name="adjacency-state", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) self.__state_changes = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), is_leaf=True, yang_name="state-changes", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint32", is_config=False, ) self.__retranmission_queue_length = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), is_leaf=True, yang_name="retranmission-queue-length", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint32", is_config=False, ) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path() + [self._yang_name] else: return [ "network-instances", "network-instance", "protocols", "protocol", "ospfv2", "areas", "area", "virtual-links", "virtual-link", "state", ] def _get_remote_router_id(self): """ Getter method for remote_router_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/remote_router_id (inet:ipv4-address-no-zone) YANG Description: The router ID of the device which terminates the remote end of the virtual link """ return self.__remote_router_id def _set_remote_router_id(self, v, load=False): """ Setter method for remote_router_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/remote_router_id (inet:ipv4-address-no-zone) If this variable is read-only (config: false) in the source YANG file, then _set_remote_router_id is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_remote_router_id() directly. YANG Description: The router ID of the device which terminates the remote end of the virtual link """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), restriction_dict={"pattern": "[0-9\\.]*"}, ), is_leaf=True, yang_name="remote-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ipv4-address-no-zone", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """remote_router_id must be of a type compatible with inet:ipv4-address-no-zone""", "defined-type": "inet:ipv4-address-no-zone", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9\\.]*'}), is_leaf=True, yang_name="remote-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv4-address-no-zone', is_config=False)""", } ) self.__remote_router_id = t if hasattr(self, "_set"): self._set() def _unset_remote_router_id(self): self.__remote_router_id = YANGDynClass( base=RestrictedClassType( base_type=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), restriction_dict={"pattern": "[0-9\\.]*"}, ), is_leaf=True, yang_name="remote-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ipv4-address-no-zone", is_config=False, ) def _get_priority(self): """ Getter method for priority, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/priority (uint8) YANG Description: The remote system's priority to become the designated router """ return self.__priority def _set_priority(self, v, load=False): """ Setter method for priority, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/priority (uint8) If this variable is read-only (config: false) in the source YANG file, then _set_priority is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_priority() directly. YANG Description: The remote system's priority to become the designated router """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=int, restriction_dict={"range": ["0..255"]}, int_size=8 ), is_leaf=True, yang_name="priority", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint8", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """priority must be of a type compatible with uint8""", "defined-type": "uint8", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..255']}, int_size=8), is_leaf=True, yang_name="priority", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='uint8', is_config=False)""", } ) self.__priority = t if hasattr(self, "_set"): self._set() def _unset_priority(self): self.__priority = YANGDynClass( base=RestrictedClassType( base_type=int, restriction_dict={"range": ["0..255"]}, int_size=8 ), is_leaf=True, yang_name="priority", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint8", is_config=False, ) def _get_dead_time(self): """ Getter method for dead_time, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/dead_time (oc-types:timeticks64) YANG Description: The time at which this neighbor's adjacency will be considered dead. This value is expressed as a number of seconds since the Unix Epoch """ return self.__dead_time def _set_dead_time(self, v, load=False): """ Setter method for dead_time, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/dead_time (oc-types:timeticks64) If this variable is read-only (config: false) in the source YANG file, then _set_dead_time is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_dead_time() directly. YANG Description: The time at which this neighbor's adjacency will be considered dead. This value is expressed as a number of seconds since the Unix Epoch """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="dead-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-types:timeticks64", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """dead_time must be of a type compatible with oc-types:timeticks64""", "defined-type": "oc-types:timeticks64", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..18446744073709551615']}, int_size=64), is_leaf=True, yang_name="dead-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-types:timeticks64', is_config=False)""", } ) self.__dead_time = t if hasattr(self, "_set"): self._set() def _unset_dead_time(self): self.__dead_time = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="dead-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-types:timeticks64", is_config=False, ) def _get_designated_router(self): """ Getter method for designated_router, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/designated_router (yang:dotted-quad) YANG Description: The designated router for the adjacency. This device advertises the Network LSA for broadcast and NBMA networks. """ return self.__designated_router def _set_designated_router(self, v, load=False): """ Setter method for designated_router, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/designated_router (yang:dotted-quad) If this variable is read-only (config: false) in the source YANG file, then _set_designated_router is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_designated_router() directly. YANG Description: The designated router for the adjacency. This device advertises the Network LSA for broadcast and NBMA networks. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])" }, ), is_leaf=True, yang_name="designated-router", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="yang:dotted-quad", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """designated_router must be of a type compatible with yang:dotted-quad""", "defined-type": "yang:dotted-quad", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])'}), is_leaf=True, yang_name="designated-router", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='yang:dotted-quad', is_config=False)""", } ) self.__designated_router = t if hasattr(self, "_set"): self._set() def _unset_designated_router(self): self.__designated_router = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])" }, ), is_leaf=True, yang_name="designated-router", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="yang:dotted-quad", is_config=False, ) def _get_backup_designated_router(self): """ Getter method for backup_designated_router, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/backup_designated_router (yang:dotted-quad) YANG Description: The backup designated router for the adjacency. """ return self.__backup_designated_router def _set_backup_designated_router(self, v, load=False): """ Setter method for backup_designated_router, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/backup_designated_router (yang:dotted-quad) If this variable is read-only (config: false) in the source YANG file, then _set_backup_designated_router is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_backup_designated_router() directly. YANG Description: The backup designated router for the adjacency. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])" }, ), is_leaf=True, yang_name="backup-designated-router", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="yang:dotted-quad", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """backup_designated_router must be of a type compatible with yang:dotted-quad""", "defined-type": "yang:dotted-quad", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])'}), is_leaf=True, yang_name="backup-designated-router", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='yang:dotted-quad', is_config=False)""", } ) self.__backup_designated_router = t if hasattr(self, "_set"): self._set() def _unset_backup_designated_router(self): self.__backup_designated_router = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])" }, ), is_leaf=True, yang_name="backup-designated-router", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="yang:dotted-quad", is_config=False, ) def _get_optional_capabilities(self): """ Getter method for optional_capabilities, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/optional_capabilities (yang:hex-string) YANG Description: The optional capabilities field received in the Hello message from the neighbor """ return self.__optional_capabilities def _set_optional_capabilities(self, v, load=False): """ Setter method for optional_capabilities, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/optional_capabilities (yang:hex-string) If this variable is read-only (config: false) in the source YANG file, then _set_optional_capabilities is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_optional_capabilities() directly. YANG Description: The optional capabilities field received in the Hello message from the neighbor """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=six.text_type, restriction_dict={"pattern": "([0-9a-fA-F]{2}(:[0-9a-fA-F]{2})*)?"}, ), is_leaf=True, yang_name="optional-capabilities", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="yang:hex-string", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """optional_capabilities must be of a type compatible with yang:hex-string""", "defined-type": "yang:hex-string", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '([0-9a-fA-F]{2}(:[0-9a-fA-F]{2})*)?'}), is_leaf=True, yang_name="optional-capabilities", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='yang:hex-string', is_config=False)""", } ) self.__optional_capabilities = t if hasattr(self, "_set"): self._set() def _unset_optional_capabilities(self): self.__optional_capabilities = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_dict={"pattern": "([0-9a-fA-F]{2}(:[0-9a-fA-F]{2})*)?"}, ), is_leaf=True, yang_name="optional-capabilities", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="yang:hex-string", is_config=False, ) def _get_last_established_time(self): """ Getter method for last_established_time, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/last_established_time (oc-types:timeticks64) YANG Description: The time at which the adjacency was last established with the neighbor. That is to say the time at which the adjacency last transitioned into the FULL state. This value is expressed as the number of seconds, relative to the Unix Epoch (Jan 1, 1970 00:00:00 UTC). """ return self.__last_established_time def _set_last_established_time(self, v, load=False): """ Setter method for last_established_time, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/last_established_time (oc-types:timeticks64) If this variable is read-only (config: false) in the source YANG file, then _set_last_established_time is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_last_established_time() directly. YANG Description: The time at which the adjacency was last established with the neighbor. That is to say the time at which the adjacency last transitioned into the FULL state. This value is expressed as the number of seconds, relative to the Unix Epoch (Jan 1, 1970 00:00:00 UTC). """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="last-established-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-types:timeticks64", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """last_established_time must be of a type compatible with oc-types:timeticks64""", "defined-type": "oc-types:timeticks64", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..18446744073709551615']}, int_size=64), is_leaf=True, yang_name="last-established-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-types:timeticks64', is_config=False)""", } ) self.__last_established_time = t if hasattr(self, "_set"): self._set() def _unset_last_established_time(self): self.__last_established_time = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="last-established-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="oc-types:timeticks64", is_config=False, ) def _get_adjacency_state(self): """ Getter method for adjacency_state, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/adjacency_state (identityref) YANG Description: The state of the adjacency with the neighbor. """ return self.__adjacency_state def _set_adjacency_state(self, v, load=False): """ Setter method for adjacency_state, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/adjacency_state (identityref) If this variable is read-only (config: false) in the source YANG file, then _set_adjacency_state is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_adjacency_state() directly. YANG Description: The state of the adjacency with the neighbor. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "DOWN": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:DOWN": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:DOWN": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "ATTEMPT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:ATTEMPT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:ATTEMPT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "INIT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:INIT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:INIT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "TWO_WAY": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:TWO_WAY": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:TWO_WAY": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "EXSTART": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:EXSTART": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:EXSTART": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "EXCHANGE": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:EXCHANGE": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:EXCHANGE": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "LOADING": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:LOADING": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:LOADING": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "FULL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:FULL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:FULL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, }, ), is_leaf=True, yang_name="adjacency-state", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """adjacency_state must be of a type compatible with identityref""", "defined-type": "openconfig-network-instance:identityref", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'DOWN': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:DOWN': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:DOWN': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'ATTEMPT': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:ATTEMPT': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:ATTEMPT': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'INIT': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:INIT': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:INIT': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'TWO_WAY': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:TWO_WAY': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:TWO_WAY': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'EXSTART': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:EXSTART': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:EXSTART': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'EXCHANGE': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:EXCHANGE': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:EXCHANGE': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'LOADING': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:LOADING': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:LOADING': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'FULL': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:FULL': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:FULL': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}},), is_leaf=True, yang_name="adjacency-state", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='identityref', is_config=False)""", } ) self.__adjacency_state = t if hasattr(self, "_set"): self._set() def _unset_adjacency_state(self): self.__adjacency_state = YANGDynClass( base=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "DOWN": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:DOWN": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:DOWN": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "ATTEMPT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:ATTEMPT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:ATTEMPT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "INIT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:INIT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:INIT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "TWO_WAY": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:TWO_WAY": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:TWO_WAY": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "EXSTART": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:EXSTART": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:EXSTART": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "EXCHANGE": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:EXCHANGE": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:EXCHANGE": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "LOADING": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:LOADING": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:LOADING": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "FULL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:FULL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:FULL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, }, ), is_leaf=True, yang_name="adjacency-state", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) def _get_state_changes(self): """ Getter method for state_changes, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/state_changes (uint32) YANG Description: The number of transitions out of the FULL state that this neighbor has been through """ return self.__state_changes def _set_state_changes(self, v, load=False): """ Setter method for state_changes, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/state_changes (uint32) If this variable is read-only (config: false) in the source YANG file, then _set_state_changes is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_state_changes() directly. YANG Description: The number of transitions out of the FULL state that this neighbor has been through """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), is_leaf=True, yang_name="state-changes", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint32", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """state_changes must be of a type compatible with uint32""", "defined-type": "uint32", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="state-changes", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='uint32', is_config=False)""", } ) self.__state_changes = t if hasattr(self, "_set"): self._set() def _unset_state_changes(self): self.__state_changes = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), is_leaf=True, yang_name="state-changes", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint32", is_config=False, ) def _get_retranmission_queue_length(self): """ Getter method for retranmission_queue_length, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/retranmission_queue_length (uint32) YANG Description: The number of LSAs that are currently in the queue to be retransmitted to the neighbor """ return self.__retranmission_queue_length def _set_retranmission_queue_length(self, v, load=False): """ Setter method for retranmission_queue_length, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/areas/area/virtual_links/virtual_link/state/retranmission_queue_length (uint32) If this variable is read-only (config: false) in the source YANG file, then _set_retranmission_queue_length is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_retranmission_queue_length() directly. YANG Description: The number of LSAs that are currently in the queue to be retransmitted to the neighbor """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), is_leaf=True, yang_name="retranmission-queue-length", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint32", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """retranmission_queue_length must be of a type compatible with uint32""", "defined-type": "uint32", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="retranmission-queue-length", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='uint32', is_config=False)""", } ) self.__retranmission_queue_length = t if hasattr(self, "_set"): self._set() def _unset_retranmission_queue_length(self): self.__retranmission_queue_length = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), is_leaf=True, yang_name="retranmission-queue-length", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint32", is_config=False, ) remote_router_id = __builtin__.property(_get_remote_router_id) priority = __builtin__.property(_get_priority) dead_time = __builtin__.property(_get_dead_time) designated_router = __builtin__.property(_get_designated_router) backup_designated_router = __builtin__.property(_get_backup_designated_router) optional_capabilities = __builtin__.property(_get_optional_capabilities) last_established_time = __builtin__.property(_get_last_established_time) adjacency_state = __builtin__.property(_get_adjacency_state) state_changes = __builtin__.property(_get_state_changes) retranmission_queue_length = __builtin__.property(_get_retranmission_queue_length) _pyangbind_elements = OrderedDict( [ ("remote_router_id", remote_router_id), ("priority", priority), ("dead_time", dead_time), ("designated_router", designated_router), ("backup_designated_router", backup_designated_router), ("optional_capabilities", optional_capabilities), ("last_established_time", last_established_time), ("adjacency_state", adjacency_state), ("state_changes", state_changes), ("retranmission_queue_length", retranmission_queue_length), ] )

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null

0

8

76bf069c848264ba7cfcb721dd3816af56b405ab

6,588

py

Python

tests/unit_tests/test_pdb/test_biopython_utils.py

MauriceKarrenbrock/PythonPDBStructures

694c1ca6d600d97a8b514f6006034f2ff227e969

[ "BSD-3-Clause" ]

null

tests/unit_tests/test_pdb/test_biopython_utils.py

MauriceKarrenbrock/PythonPDBStructures

694c1ca6d600d97a8b514f6006034f2ff227e969

[ "BSD-3-Clause" ]

null

tests/unit_tests/test_pdb/test_biopython_utils.py

MauriceKarrenbrock/PythonPDBStructures

694c1ca6d600d97a8b514f6006034f2ff227e969

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- # pylint: disable=missing-docstring # pylint: disable=redefined-outer-name # pylint: disable=no-self-use ############################################################# # Copyright (c) 2020-2020 Maurice Karrenbrock # # # # This software is open-source and is distributed under the # # BSD 3-Clause "New" or "Revised" License # ############################################################# import unittest.mock as mock import Bio.PDB import pytest import PythonPDBStructures.pdb.biopython_utils as bio class Testparse_pdb(): def test_works(self, mocker): prot_id = '5aol' file_name = 'name.pdb' m_parser = mocker.patch.object(Bio.PDB.PDBParser, 'get_structure') output = bio.parse_pdb(prot_id, file_name) m_parser.assert_called_once_with(prot_id, file_name) assert isinstance(output, mock.MagicMock) class Testparse_mmcif(): def test_works(self, mocker): prot_id = '5aol' file_name = 'name.cif' m_parser = mocker.patch.object(Bio.PDB.MMCIFParser, 'get_structure') output = bio.parse_mmcif(prot_id, file_name) m_parser.assert_called_once_with(prot_id, file_name) assert isinstance(output, mock.MagicMock) class Testmmcif2dict(): def test_works(self, mocker): file_name = 'name.cif' m_parser = \ mocker.patch('PythonPDBStructures.pdb.biopython_utils.Bio.PDB.MMCIF2Dict.MMCIF2Dict') output = bio.mmcif2dict(file_name) m_parser.assert_called_once_with(file_name) assert isinstance(output, mock.MagicMock) class Testwrite_pdb(): def test_works_is_instance(self, mocker): m_isinstance = \ mocker.patch('PythonPDBStructures.pdb.biopython_utils.isinstance', return_value=True) m_hasattr = \ mocker.patch('PythonPDBStructures.pdb.biopython_utils.hasattr') m_struct = mocker.patch.object(Bio.PDB.PDBIO, 'set_structure') m_save = mocker.patch.object(Bio.PDB.PDBIO, 'save') bio.write_pdb('fake_structure_object', 'file_name.pdb') m_isinstance.assert_called_once() m_hasattr.assert_not_called() m_struct.assert_called_once_with('fake_structure_object') m_save.assert_called_once_with('file_name.pdb') def test_works_hasattr(self, mocker): class FakeAtom(object): def __init__(self): self.level = 'A' fake_atom_1 = FakeAtom() fake_atom_2 = FakeAtom() fake_structure = (fake_atom_1, fake_atom_2) m_isinstance = \ mocker.patch('PythonPDBStructures.pdb.biopython_utils.isinstance', return_value=False) m_hasattr = \ mocker.patch('PythonPDBStructures.pdb.biopython_utils.hasattr', return_value=True) m_struct = mocker.patch.object(Bio.PDB.PDBIO, 'set_structure') m_save = mocker.patch.object(Bio.PDB.PDBIO, 'save') bio.write_pdb(fake_structure, 'file_name.pdb') m_isinstance.assert_called_once() m_hasattr.assert_called_once() m_struct.assert_called_once_with(fake_structure) m_save.assert_called_once_with('file_name.pdb') def test_raises(self, mocker): class FakeAtom(object): def __init__(self): self.level = 'A' fake_atom_1 = FakeAtom() fake_atom_2 = FakeAtom() fake_structure = (fake_atom_1, fake_atom_2) m_isinstance = \ mocker.patch('PythonPDBStructures.pdb.biopython_utils.isinstance', return_value=False) m_hasattr = \ mocker.patch('PythonPDBStructures.pdb.biopython_utils.hasattr', return_value=False) with pytest.raises(TypeError): bio.write_pdb(fake_structure, 'file_name.pdb') m_isinstance.assert_called_once() m_hasattr.assert_called_once() class Testwrite_mmcif(): def test_works_is_instance(self, mocker): m_isinstance = \ mocker.patch('PythonPDBStructures.pdb.biopython_utils.isinstance', return_value=True) m_hasattr = \ mocker.patch('PythonPDBStructures.pdb.biopython_utils.hasattr') m_struct = mocker.patch.object(Bio.PDB.MMCIFIO, 'set_structure') m_save = mocker.patch.object(Bio.PDB.MMCIFIO, 'save') bio.write_mmcif('fake_structure_object', 'file_name.cif') m_isinstance.assert_called_once() m_hasattr.assert_not_called() m_struct.assert_called_once_with('fake_structure_object') m_save.assert_called_once_with('file_name.cif') def test_works_hasattr(self, mocker): class FakeAtom(object): def __init__(self): self.level = 'A' fake_atom_1 = FakeAtom() fake_atom_2 = FakeAtom() fake_structure = (fake_atom_1, fake_atom_2) m_isinstance = \ mocker.patch('PythonPDBStructures.pdb.biopython_utils.isinstance', return_value=False) m_hasattr = \ mocker.patch('PythonPDBStructures.pdb.biopython_utils.hasattr', return_value=True) m_struct = mocker.patch.object(Bio.PDB.MMCIFIO, 'set_structure') m_save = mocker.patch.object(Bio.PDB.MMCIFIO, 'save') bio.write_mmcif(fake_structure, 'file_name.cif') m_isinstance.assert_called_once() m_hasattr.assert_called_once() m_struct.assert_called_once_with(fake_structure) m_save.assert_called_once_with('file_name.cif') def test_raises(self, mocker): class FakeAtom(object): def __init__(self): self.level = 'A' fake_atom_1 = FakeAtom() fake_atom_2 = FakeAtom() fake_structure = (fake_atom_1, fake_atom_2) m_isinstance = \ mocker.patch('PythonPDBStructures.pdb.biopython_utils.isinstance', return_value=False) m_hasattr = \ mocker.patch('PythonPDBStructures.pdb.biopython_utils.hasattr', return_value=False) with pytest.raises(TypeError): bio.write_mmcif(fake_structure, 'file_name.cif') m_isinstance.assert_called_once() m_hasattr.assert_called_once() class Testwrite_dict2mmcif(): def test_works(self, mocker): fake_dict = {} m_dict = mocker.patch.object(Bio.PDB.MMCIFIO, 'set_dict') m_save = mocker.patch.object(Bio.PDB.MMCIFIO, 'save') bio.write_dict2mmcif(fake_dict, 'file_name.cif') m_dict.assert_called_once_with(fake_dict) m_save.assert_called_once_with('file_name.cif')

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4fa6561a460c33a4dd5702b428ad9befbcfa806e

3,029

py

Python

sorting_algos/test_sorts.py

steveflys/data-structures-and-algorithms

9c89cb24449ca7bc09578408cba3c877fe74e000

[ "MIT" ]

null

sorting_algos/test_sorts.py

steveflys/data-structures-and-algorithms

9c89cb24449ca7bc09578408cba3c877fe74e000

[ "MIT" ]

3

2018-05-01T18:07:50.000Z

2018-05-11T16:52:16.000Z

sorting_algos/test_sorts.py

steveflys/data-structures-and-algorithms

9c89cb24449ca7bc09578408cba3c877fe74e000

[ "MIT" ]

null

"""Made tersts for the sort functions.""" from .mergesort import merge_sort from .selection import selection_sort from .quicksort import quicksort from .radix_sort import radix_sort def test_merge_sort_on_integers(): """Test the merge sort on integers.""" assert merge_sort([54, 26, 93, 17, 77, 31, 44, 55, 20]) == [17, 20, 26, 31, 44, 54, 55, 77, 93] def test_merge_sort_on_words(): """Test the merge sort on words.""" assert merge_sort(['cat', 'dog', 'snake', 'gerbil']) == ['cat', 'dog', 'gerbil', 'snake'] def test_merge_sort_with_neg(): """Test the merge sort on integers with neg integer.""" assert merge_sort([54, 26, 93, 17, 77, 31, 44, -55, 20]) == [-55, 17, 20, 26, 31, 44, 54, 77, 93] def test_merge_sort_with_floats(): """Test the merge sort on integers with neg integer.""" assert merge_sort([54, 26.01, 93, 17, 77, 26, 44, -55, 20]) == [-55, 17, 20, 26, 26.01, 44, 54, 77, 93] def test_selection_sort_on_integers(): """Test the merge sort on integers.""" assert selection_sort([54, 26, 93, 17, 77, 31, 44, 55, 20]) == [17, 20, 26, 31, 44, 54, 55, 77, 93] def test_selection_sort_on_words(): """Test the selection sort on words.""" assert selection_sort(['cat', 'dog', 'snake', 'gerbil']) == ['cat', 'dog', 'gerbil', 'snake'] def test_selection_sort_with_neg(): """Test the selection sort on integers with neg integer.""" assert selection_sort([54, 26, 93, 17, 77, 31, 44, -55, 20]) == [-55, 17, 20, 26, 31, 44, 54, 77, 93] def test_selection_sort_with_floats(): """Test the selection sort on integers with neg integer.""" assert selection_sort([54, 26.01, 93, 17, 77, 26, 44, -55, 20]) == [-55, 17, 20, 26, 26.01, 44, 54, 77, 93] def test_quicksort_on_integers(): """Test the merge sort on integers.""" assert quicksort([54, 26, 93, 17, 77, 31, 44, 55, 20]) == [17, 20, 26, 31, 44, 54, 55, 77, 93] def test_quicksort_on_words(): """Test the selection sort on words.""" assert quicksort(['cat', 'dog', 'snake', 'gerbil']) == ['cat', 'dog', 'gerbil', 'snake'] def test_quicksort_with_neg(): """Test the selection sort on integers with neg integer.""" assert quicksort([54, 26, 93, 17, 77, 31, 44, -55, 20]) == [-55, 17, 20, 26, 31, 44, 54, 77, 93] def test_quicksort_with_floats(): """Test the selection sort on integers with neg integer.""" assert quicksort([54, 26.01, 93, 17, 77, 26, 44, -55, 20]) == [-55, 17, 20, 26, 26.01, 44, 54, 77, 93] def test_radix_sort_on_integers(): """Test the merge sort on integers.""" assert radix_sort([54, 26, 93, 17, 77, 31, 44, 55, 20]) == [17, 20, 26, 31, 44, 54, 55, 77, 93] def test_radix_sort_on_integers_of_diff_lengths(): """Test the merge sort on integers of diffeerent lengths.""" assert radix_sort([540, 2, 9113, 17, 707, 31, 4, 55555, 20]) == [2, 4, 17, 20, 31, 540, 707, 9113, 55555] def test_radix_sort_on_list_of_one(): """Test the merge sort on integers of diffeerent lengths.""" assert radix_sort([540]) == [540]

36.939024

111

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502

3,029

3.667331

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0.0717

0.121673

0.05975

0.858229

0.80717

0.792504

0.775665

0.750679

0.68767

0

0.172498

0.188511

3,029

81

112

37.395062

0.576485

0.228128

0

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null

0

1

0

1

0

1

0

10

96c5c432c0f9fa173329f5f04ff85eb12dec40c8

4,185

py

Python

2021/15.py

frodetb/aoc

2dad7c0d7342d97f4a3a2ad202afe302c3473368

[ "MIT" ]

null

2021/15.py

frodetb/aoc

2dad7c0d7342d97f4a3a2ad202afe302c3473368

[ "MIT" ]

null

2021/15.py

frodetb/aoc

2dad7c0d7342d97f4a3a2ad202afe302c3473368

[ "MIT" ]

null

risk_level = [[int(c) for c in line.strip()] for line in open("input_15", "r").readlines()] R = len(risk_level) C = len(risk_level[0]) path_length = [[None for _ in range(C)] for __ in range(R)] path_length[-1][-1] = 0 def neighbours(r, c): for dr, dc in [(1, 0), (-1, 0), (0, 1), (0, -1)]: if 0 <= r + dr < R and 0 <= c + dc < C: yield r + dr, c + dc for r, c in ((r, c) for r in reversed(range(R)) for c in reversed(range(C))): for rn, cn in neighbours(r, c): if path_length[rn][cn] is not None: if path_length[r][c] is None or path_length[r][c] > path_length[rn][cn] + risk_level[rn][cn]: path_length[r][c] = path_length[rn][cn] + risk_level[rn][cn] print(path_length[0][0]) def neighbours(r, c): for dr, dc in [(1, 0), (-1, 0), (0, 1), (0, -1)]: if 0 <= r + dr < 5 * R and 0 <= c + dc < 5 * C: yield r + dr, c + dc risk_level = [[(risk_level[r % R][c % C] + (r // R) + (c // C) - 1) % 9 + 1 for c in range(5 * C)] for r in range(5 * R)] path_length = [[None for _ in range(5 * C)] for __ in range(5 * R)] path_length[-1][-1] = 0 for r, c in ((r, c) for r in reversed(range(5 * R)) for c in reversed(range(5 * C))): for rn, cn in neighbours(r, c): if path_length[rn][cn] is not None: if path_length[r][c] is None or path_length[r][c] > path_length[rn][cn] + risk_level[rn][cn]: path_length[r][c] = path_length[rn][cn] + risk_level[rn][cn] for r, c in ((r, c) for r in reversed(range(5 * R)) for c in reversed(range(5 * C))): for rn, cn in neighbours(r, c): if path_length[r][c] > path_length[rn][cn] + risk_level[rn][cn]: path_length[r][c] = path_length[rn][cn] + risk_level[rn][cn] for r, c in ((r, c) for r in reversed(range(5 * R)) for c in reversed(range(5 * C))): for rn, cn in neighbours(r, c): if path_length[r][c] > path_length[rn][cn] + risk_level[rn][cn]: path_length[r][c] = path_length[rn][cn] + risk_level[rn][cn] for r, c in ((r, c) for r in reversed(range(5 * R)) for c in reversed(range(5 * C))): for rn, cn in neighbours(r, c): if path_length[r][c] > path_length[rn][cn] + risk_level[rn][cn]: path_length[r][c] = path_length[rn][cn] + risk_level[rn][cn] for r, c in ((r, c) for r in reversed(range(5 * R)) for c in reversed(range(5 * C))): for rn, cn in neighbours(r, c): if path_length[r][c] > path_length[rn][cn] + risk_level[rn][cn]: path_length[r][c] = path_length[rn][cn] + risk_level[rn][cn] for r, c in ((r, c) for r in reversed(range(5 * R)) for c in reversed(range(5 * C))): for rn, cn in neighbours(r, c): if path_length[r][c] > path_length[rn][cn] + risk_level[rn][cn]: path_length[r][c] = path_length[rn][cn] + risk_level[rn][cn] for r, c in ((r, c) for r in reversed(range(5 * R)) for c in reversed(range(5 * C))): for rn, cn in neighbours(r, c): if path_length[r][c] > path_length[rn][cn] + risk_level[rn][cn]: path_length[r][c] = path_length[rn][cn] + risk_level[rn][cn] for r, c in ((r, c) for r in reversed(range(5 * R)) for c in reversed(range(5 * C))): for rn, cn in neighbours(r, c): if path_length[r][c] > path_length[rn][cn] + risk_level[rn][cn]: path_length[r][c] = path_length[rn][cn] + risk_level[rn][cn] for r, c in ((r, c) for r in reversed(range(5 * R)) for c in reversed(range(5 * C))): for rn, cn in neighbours(r, c): if path_length[r][c] > path_length[rn][cn] + risk_level[rn][cn]: path_length[r][c] = path_length[rn][cn] + risk_level[rn][cn] for r, c in ((r, c) for r in reversed(range(5 * R)) for c in reversed(range(5 * C))): for rn, cn in neighbours(r, c): if path_length[r][c] > path_length[rn][cn] + risk_level[rn][cn]: path_length[r][c] = path_length[rn][cn] + risk_level[rn][cn] for r, c in ((r, c) for r in reversed(range(5 * R)) for c in reversed(range(5 * C))): for rn, cn in neighbours(r, c): if path_length[r][c] > path_length[rn][cn] + risk_level[rn][cn]: path_length[r][c] = path_length[rn][cn] + risk_level[rn][cn] print(path_length[0][0])

53.653846

122

0.572999

813

4,185

2.833948

0.04428

0.057292

0.135417

0.157986

0.942708

0.928385

0.869358

0

0.01995

0.233453

4,185

77

123

54.350649

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0

0.867647

0

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0

1

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false

0

0.029412

0

null

0

1

0

1

0

null

0

7

8c287b8c76ec09328e29562aa8bf203ea0e6d388

48

py

Python

creational/singleton/metaclass/metaclass.py

Zim95/design_patterns

39d0aadb51094049e1d23dd34ef3d137f3609106

[ "MIT" ]

null

creational/singleton/metaclass/metaclass.py

Zim95/design_patterns

39d0aadb51094049e1d23dd34ef3d137f3609106

[ "MIT" ]

null

creational/singleton/metaclass/metaclass.py

Zim95/design_patterns

39d0aadb51094049e1d23dd34ef3d137f3609106

[ "MIT" ]

null

class Test: pass print(Test) print(Test())

8

13

0.645833

7

48

4.428571

0.571429

0.580645

0

0.208333

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8c50beca9141d18fc7857782bc0f0ce0d38422d0

10,840

py

Python

mailchimp_transactional/api/senders_api.py

mailchimp/mailchimp-transactional-python

13984adc51f8a91a08c8b282d25c6752ba0375c4

[ "Apache-2.0" ]

21

2020-08-31T16:24:14.000Z

2022-03-16T17:18:36.000Z

build/lib/mailchimp_transactional/api/senders_api.py

mailchimp/mailchimp-transactional-python

13984adc51f8a91a08c8b282d25c6752ba0375c4

[ "Apache-2.0" ]

null

build/lib/mailchimp_transactional/api/senders_api.py

mailchimp/mailchimp-transactional-python

13984adc51f8a91a08c8b282d25c6752ba0375c4

[ "Apache-2.0" ]

5

2021-02-02T10:17:43.000Z

2022-01-21T15:49:38.000Z

# coding: utf-8 """ Mailchimp Transactional API No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501 OpenAPI spec version: 1.0.46 Contact: apihelp@mailchimp.com Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from mailchimp_transactional.api_client import ApiClient class SendersApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_key='', api_client = None): self.api_key = api_key if api_client: self.api_client = api_client else: self.api_client = ApiClient() def add_domain(self, body = {}, **kwargs): # noqa: E501 """Add sender domain # noqa: E501 Adds a sender domain to your account. Sender domains are added automatically as you send, but you can use this call to add them ahead of time. # noqa: E501 """ (data) = self.add_domain_with_http_info(body, **kwargs) # noqa: E501 return data def add_domain_with_http_info(self, body, **kwargs): # noqa: E501 """Add sender domain # noqa: E501 Adds a sender domain to your account. Sender domains are added automatically as you send, but you can use this call to add them ahead of time. # noqa: E501 """ all_params = ['body'] # noqa: E501 params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method add_domain" % key ) params[key] = val del params['kwargs'] # add api_key to body params params['body']['key'] = self.api_key body_params = None if 'body' in params: body_params = params['body'] return self.api_client.call_api( '/senders/add-domain', 'POST', body=body_params, response_type='InlineResponse20045') # noqa: E501 def check_domain(self, body = {}, **kwargs): # noqa: E501 """Check domain settings # noqa: E501 Checks the SPF and DKIM settings for a domain, as well the domain verification. If you haven't already added this domain to your account, it will be added automatically. # noqa: E501 """ (data) = self.check_domain_with_http_info(body, **kwargs) # noqa: E501 return data def check_domain_with_http_info(self, body, **kwargs): # noqa: E501 """Check domain settings # noqa: E501 Checks the SPF and DKIM settings for a domain, as well the domain verification. If you haven't already added this domain to your account, it will be added automatically. # noqa: E501 """ all_params = ['body'] # noqa: E501 params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method check_domain" % key ) params[key] = val del params['kwargs'] # add api_key to body params params['body']['key'] = self.api_key body_params = None if 'body' in params: body_params = params['body'] return self.api_client.call_api( '/senders/check-domain', 'POST', body=body_params, response_type='InlineResponse20046') # noqa: E501 def domains(self, body = {}, **kwargs): # noqa: E501 """List sender domains # noqa: E501 Returns the sender domains that have been added to this account. # noqa: E501 """ (data) = self.domains_with_http_info(body, **kwargs) # noqa: E501 return data def domains_with_http_info(self, body, **kwargs): # noqa: E501 """List sender domains # noqa: E501 Returns the sender domains that have been added to this account. # noqa: E501 """ all_params = ['body'] # noqa: E501 params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method domains" % key ) params[key] = val del params['kwargs'] # add api_key to body params params['body']['key'] = self.api_key body_params = None if 'body' in params: body_params = params['body'] return self.api_client.call_api( '/senders/domains', 'POST', body=body_params, response_type='list[InlineResponse20044]') # noqa: E501 def info(self, body = {}, **kwargs): # noqa: E501 """Get sender info # noqa: E501 Return more detailed information about a single sender, including aggregates of recent stats. # noqa: E501 """ (data) = self.info_with_http_info(body, **kwargs) # noqa: E501 return data def info_with_http_info(self, body, **kwargs): # noqa: E501 """Get sender info # noqa: E501 Return more detailed information about a single sender, including aggregates of recent stats. # noqa: E501 """ all_params = ['body'] # noqa: E501 params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method info" % key ) params[key] = val del params['kwargs'] # add api_key to body params params['body']['key'] = self.api_key body_params = None if 'body' in params: body_params = params['body'] return self.api_client.call_api( '/senders/info', 'POST', body=body_params, response_type='InlineResponse20048') # noqa: E501 def list(self, body = {}, **kwargs): # noqa: E501 """List account senders # noqa: E501 Return the senders that have tried to use this account. # noqa: E501 """ (data) = self.list_with_http_info(body, **kwargs) # noqa: E501 return data def list_with_http_info(self, body, **kwargs): # noqa: E501 """List account senders # noqa: E501 Return the senders that have tried to use this account. # noqa: E501 """ all_params = ['body'] # noqa: E501 params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method list" % key ) params[key] = val del params['kwargs'] # add api_key to body params params['body']['key'] = self.api_key body_params = None if 'body' in params: body_params = params['body'] return self.api_client.call_api( '/senders/list', 'POST', body=body_params, response_type='list[InlineResponse20043]') # noqa: E501 def time_series(self, body = {}, **kwargs): # noqa: E501 """View sender history # noqa: E501 Return the recent history (hourly stats for the last 30 days) for a sender. # noqa: E501 """ (data) = self.time_series_with_http_info(body, **kwargs) # noqa: E501 return data def time_series_with_http_info(self, body, **kwargs): # noqa: E501 """View sender history # noqa: E501 Return the recent history (hourly stats for the last 30 days) for a sender. # noqa: E501 """ all_params = ['body'] # noqa: E501 params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method time_series" % key ) params[key] = val del params['kwargs'] # add api_key to body params params['body']['key'] = self.api_key body_params = None if 'body' in params: body_params = params['body'] return self.api_client.call_api( '/senders/time-series', 'POST', body=body_params, response_type='list[InlineResponse20049]') # noqa: E501 def verify_domain(self, body = {}, **kwargs): # noqa: E501 """Verify domain # noqa: E501 Sends a verification email in order to verify ownership of a domain. Domain verification is a required step to confirm ownership of a domain. Once a domain has been verified in a Transactional API account, other accounts may not have their messages signed by that domain unless they also verify the domain. This prevents other Transactional API accounts from sending mail signed by your domain. # noqa: E501 """ (data) = self.verify_domain_with_http_info(body, **kwargs) # noqa: E501 return data def verify_domain_with_http_info(self, body, **kwargs): # noqa: E501 """Verify domain # noqa: E501 Sends a verification email in order to verify ownership of a domain. Domain verification is a required step to confirm ownership of a domain. Once a domain has been verified in a Transactional API account, other accounts may not have their messages signed by that domain unless they also verify the domain. This prevents other Transactional API accounts from sending mail signed by your domain. # noqa: E501 """ all_params = ['body'] # noqa: E501 params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method verify_domain" % key ) params[key] = val del params['kwargs'] # add api_key to body params params['body']['key'] = self.api_key body_params = None if 'body' in params: body_params = params['body'] return self.api_client.call_api( '/senders/verify-domain', 'POST', body=body_params, response_type='InlineResponse20047') # noqa: E501

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null

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8c58eac504c6492c4fa09eff8ab88d3100d3609d

11,764

py

Python

test/test_manager.py

ORNL/curifactory

f8be235b7fa7b91cc86f61d610d7093075b89d1f

[ "BSD-3-Clause" ]

4

2022-01-25T18:27:49.000Z

2022-03-30T22:57:04.000Z

test/test_manager.py

ORNL/curifactory

f8be235b7fa7b91cc86f61d610d7093075b89d1f

[ "BSD-3-Clause" ]

1

2022-03-05T19:10:42.000Z

2022-03-07T18:00:49.000Z

test/test_manager.py

ORNL/curifactory

f8be235b7fa7b91cc86f61d610d7093075b89d1f

[ "BSD-3-Clause" ]

null

"""Testing pathing functions on the manager.""" import os from pytest_mock import mocker # noqa: F401 -- flake8 doesn't see it's used as fixture from curifactory import stage, Record from curifactory.caching import Cacheable, Lazy, PickleCacher class FakeCacher(Cacheable): def __init__(self, path_override=None): super().__init__(".fake", path_override=path_override) def load(self): return None def save(self, obj): pass # ----------------------------------------- # Stage/manager.get_path intergration tests # ----------------------------------------- def test_stage_integration_basic( mocker, # noqa: F811 -- mocker has to be passed in as fixture sample_args, configured_test_manager, ): """The stage should be calling manager's get_path with the correct parameters.""" mock = mocker.patch.object( configured_test_manager, "get_path", return_value="test_path" ) @stage([], ["test_output"], [FakeCacher]) def do_thing(record): return "hello world" record = Record(configured_test_manager, sample_args) do_thing(record) mock.assert_called_once_with("test_output", record, aggregate_records=None) def test_stage_integration_path_override( mocker, # noqa: F811 -- mocker has to be passed in as fixture sample_args, configured_test_manager, ): """The stage should be calling manager's get_path with the correct parameters when using a path override in a cacher.""" mock = mocker.patch.object( configured_test_manager, "get_path", return_value="test_path" ) @stage([], ["test_output"], [FakeCacher(path_override="test/examples/WHAT")]) def do_thing(record): return "hello world" record = Record(configured_test_manager, sample_args) do_thing(record) mock.assert_called_once_with( "test_output", record, base_path="test/examples/WHAT", aggregate_records=None ) def test_stage_integration_storefull( mocker, # noqa: F811 -- mocker has to be passed in as fixture sample_args, configured_test_manager, ): """The stage should be calling manager's get_path twice with the correct parameters.""" configured_test_manager.store_entire_run = True mock = mocker.patch.object( configured_test_manager, "get_path", return_value="test_path" ) @stage([], ["test_output"], [FakeCacher]) def do_thing(record): return "hello world" record = Record(configured_test_manager, sample_args) do_thing(record) assert len(mock.call_args_list) == 2 assert mock.call_args_list[0].args == ("test_output", record) assert mock.call_args_list[0].kwargs == dict(aggregate_records=None) assert mock.call_args_list[1].args == ("test_output", record) assert mock.call_args_list[1].kwargs == dict(output=True, aggregate_records=None) # ----------------------------------------- # get_path unit tests # ----------------------------------------- def test_get_path_basic(sample_args, configured_test_manager): """Calling get_path with a basic set of args should return the expected path.""" record = Record(configured_test_manager, sample_args) path = configured_test_manager.get_path( "test_output", record, aggregate_records=None ) assert path == "test/examples/data/cache/test_sample_hash__test_output" def test_get_path_basic_w_stagename(sample_args, configured_test_manager): """Calling get_path with a basic set of args and a valid stage name should return the expected path.""" record = Record(configured_test_manager, sample_args) configured_test_manager.current_stage_name = "somestage" path = configured_test_manager.get_path( "test_output", record, aggregate_records=None ) assert path == "test/examples/data/cache/test_sample_hash_somestage_test_output" def test_get_path_path_override(sample_args, configured_test_manager): """Calling get_path with a basic set of args and a path override should return the expected path.""" record = Record(configured_test_manager, sample_args) path = configured_test_manager.get_path( "test_output", record, base_path="test/examples/WHAT", aggregate_records=None ) assert path == "test/examples/WHAT/test_sample_hash__test_output" def test_get_path_store_full(sample_args, configured_test_manager): """Calling get_path with store-full should return the expected path.""" record = Record(configured_test_manager, sample_args) configured_test_manager.store_entire_run = True ts = configured_test_manager.get_str_timestamp() path = configured_test_manager.get_path( "test_output", record, output=True, aggregate_records=None ) assert ( path == f"test/examples/data/runs/test_{configured_test_manager.experiment_run_number}_{ts}/test_sample_hash__test_output" ) def test_get_path_custom_name(sample_args, configured_test_manager): """Calling get_path when a custom name is in use should return the expected path.""" record = Record(configured_test_manager, sample_args) configured_test_manager.custom_name = "some_custom_name" path = configured_test_manager.get_path( "test_output", record, aggregate_records=None ) assert path == "test/examples/data/cache/some_custom_name_sample_hash__test_output" def test_get_path_custom_name_and_store_full(sample_args, configured_test_manager): """Calling get_path when a custom name is in use and storefull is called should return the expected path.""" record = Record(configured_test_manager, sample_args) configured_test_manager.store_entire_run = True configured_test_manager.custom_name = "some_custom_name" ts = configured_test_manager.get_str_timestamp() path = configured_test_manager.get_path( "test_output", record, output=True, aggregate_records=None ) assert ( path == f"test/examples/data/runs/test_{configured_test_manager.experiment_run_number}_{ts}/some_custom_name_sample_hash__test_output" ) def test_get_path_no_args(configured_test_manager): """Calling get_path with None args will result in None in the output name.""" record = Record(configured_test_manager, None) path = configured_test_manager.get_path( "test_output", record, aggregate_records=None ) assert path == "test/examples/data/cache/test_None__test_output" # ----------------------------------------- # get_run_output_path unit tests # ----------------------------------------- def test_get_run_output_path(configured_test_manager): ts = configured_test_manager.get_str_timestamp() path = configured_test_manager.get_run_output_path() assert ( path == f"test/examples/data/runs/test_{configured_test_manager.experiment_run_number}_{ts}" ) def test_get_run_output_path_w_obj_name(configured_test_manager): ts = configured_test_manager.get_str_timestamp() path = configured_test_manager.get_run_output_path("testing_file.txt") assert ( path == f"test/examples/data/runs/test_{configured_test_manager.experiment_run_number}_{ts}/testing_file.txt" ) assert os.path.exists( f"test/examples/data/runs/test_{configured_test_manager.experiment_run_number}_{ts}" ) assert not os.path.isdir( f"test/examples/data/runs/test_{configured_test_manager.experiment_run_number}_{ts}/testing_file.txt" ) def test_get_run_output_path_w_subdirs_obj_name(configured_test_manager): ts = configured_test_manager.get_str_timestamp() path = configured_test_manager.get_run_output_path("subs/testing_file.txt") assert ( path == f"test/examples/data/runs/test_{configured_test_manager.experiment_run_number}_{ts}/subs/testing_file.txt" ) assert os.path.exists( f"test/examples/data/runs/test_{configured_test_manager.experiment_run_number}_{ts}/subs" ) # ----------------------------------------- # misc # ----------------------------------------- def test_write_run_env_output(configured_test_manager): """Storing a manager run should output the four expected environment info textfiles into the store-full folder.""" configured_test_manager.store() configured_test_manager.write_run_env_output() ts = configured_test_manager.get_str_timestamp() # NOTE: the run number is 1 because when we store it we actually populate that information (there's just a default value of 0) assert os.path.exists( f"test/examples/data/runs/test_{configured_test_manager.experiment_run_number}_{ts}/requirements.txt" ) assert os.path.exists( f"test/examples/data/runs/test_{configured_test_manager.experiment_run_number}_{ts}/environment_meta.txt" ) assert os.path.exists( f"test/examples/data/runs/test_{configured_test_manager.experiment_run_number}_{ts}/run_info.json" ) def test_run_line_sanitization_normal(configured_test_manager): """Ensure that a normal store-full run-line will result in a correct reproduction line in the run info.""" configured_test_manager.run_line = "experiment test -p params1 --store-full" configured_test_manager.store_entire_run = True configured_test_manager.store() ts = configured_test_manager.get_str_timestamp() assert ( configured_test_manager.run_info["reproduce"] == f"experiment test -p params1 --cache test/examples/data/runs/test_{configured_test_manager.experiment_run_number}_{ts} --dry-cache" ) def test_run_line_sanitization_order(configured_test_manager): """The placement of the --store-full flag in the initial run line should not impact the reproduction line.""" configured_test_manager.run_line = ( "experiment test -p params1 --store-full --parallel 4" ) configured_test_manager.store_entire_run = True configured_test_manager.store() ts = configured_test_manager.get_str_timestamp() assert ( configured_test_manager.run_info["reproduce"] == f"experiment test -p params1 --parallel 4 --cache test/examples/data/runs/test_{configured_test_manager.experiment_run_number}_{ts} --dry-cache" ) def test_run_line_sanitization_overwrite(configured_test_manager): """The reproduction line should not include overwrite.""" configured_test_manager.run_line = ( "experiment test -p params1 --store-full --parallel 4 --overwrite" ) configured_test_manager.store_entire_run = True configured_test_manager.store() ts = configured_test_manager.get_str_timestamp() assert ( configured_test_manager.run_info["reproduce"] == f"experiment test -p params1 --parallel 4 --cache test/examples/data/runs/test_{configured_test_manager.experiment_run_number}_{ts} --dry-cache" ) def test_cache_aware_dict_resolve(configured_test_manager): """Ensure when resolve is on, lazy objects in a record's state auto load the thing.""" @stage([], [Lazy("tester")], cachers=[PickleCacher]) def output_stage(record): return "hello world" record = Record(configured_test_manager, None) output_stage(record) assert record.state["tester"] == "hello world" def test_cache_aware_dict_no_resolve(configured_test_manager): """Ensure when resolve is off, lazy objects in a record's state remain lazy.""" @stage([], [Lazy("tester")], cachers=[PickleCacher]) def output_stage(record): return "hello world" record = Record(configured_test_manager, None) output_stage(record) record.state.resolve = False assert type(record.state["tester"]) == Lazy assert record.state["tester"].name == "tester" assert type(record.state["tester"].cacher) == PickleCacher

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7

4fcc5c10a1573c93bf7ab37112c086ffd3fc9e9a

778

py

Python

mtdnn/common/archive_maps.py

microsoft/mt-dnn

e5c3e07f3a8e55067433714ce261a6d28ba73d22

[ "MIT" ]

113

2020-05-08T08:02:51.000Z

2022-03-27T06:43:56.000Z

mtdnn/common/archive_maps.py

microsoft/mt-dnn

e5c3e07f3a8e55067433714ce261a6d28ba73d22

[ "MIT" ]

4

2020-06-03T12:00:10.000Z

2021-03-15T07:36:44.000Z

mtdnn/common/archive_maps.py

microsoft/mt-dnn

e5c3e07f3a8e55067433714ce261a6d28ba73d22

[ "MIT" ]

24

2020-05-11T13:13:22.000Z

2022-03-25T05:49:51.000Z

# coding=utf-8 # Copyright (c) Microsoft. All rights reserved. PRETRAINED_MODEL_ARCHIVE_MAP = { "mtdnn-base-uncased": "https://mrc.blob.core.windows.net/mt-dnn-model/mt_dnn_base.pt", "mtdnn-large-uncased": "https://mrc.blob.core.windows.net/mt-dnn-model/mt_dnn_large.pt", "mtdnn-kd-large-cased": "https://mrc.blob.core.windows.net/mt-dnn-model/mt_dnn_kd_large_cased.pt", } # TODO - Create these files and upload to blob next to model PRETRAINED_CONFIG_ARCHIVE_MAP = { "mtdnn-base-uncased": "https://mrc.blob.core.windows.net/mt-dnn-model/mt_dnn_base.json", "mtdnn-large-uncased": "https://mrc.blob.core.windows.net/mt-dnn-model/mt_dnn_large.json", "mtdnn-kd-large-cased": "https://mrc.blob.core.windows.net/mt-dnn-model/mt_dnn_kd_large_cased.json", }

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9

4ff98245a9c31f52ba3d6583b4a7e9ca7a8e7a46

2,477

py

Python

faeAuditor/auditGroup2Results/migrations/0009_auto_20181108_1330.py

opena11y/fae-auditor

ea9099b37b77ddc30092b0cdd962647c92b143a7

[ "Apache-2.0" ]

2

2018-02-28T19:03:28.000Z

2021-09-30T13:40:23.000Z

faeAuditor/auditGroup2Results/migrations/0009_auto_20181108_1330.py

opena11y/fae-auditor

ea9099b37b77ddc30092b0cdd962647c92b143a7

[ "Apache-2.0" ]

6

2020-02-11T21:53:58.000Z

2022-02-10T07:57:58.000Z

faeAuditor/auditGroup2Results/migrations/0009_auto_20181108_1330.py

opena11y/fae-auditor

ea9099b37b77ddc30092b0cdd962647c92b143a7

[ "Apache-2.0" ]

1

2019-12-05T06:05:20.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11.8 on 2018-11-08 19:30 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('auditGroup2Results', '0008_auto_20181030_2223'), ] operations = [ migrations.AddField( model_name='auditgroup2guidelineresult', name='implementation_score_v', field=models.DecimalField(decimal_places=1, default=-1, max_digits=4), ), migrations.AddField( model_name='auditgroup2guidelineresult', name='implementation_score_w', field=models.DecimalField(decimal_places=1, default=-1, max_digits=4), ), migrations.AddField( model_name='auditgroup2result', name='implementation_score_v', field=models.DecimalField(decimal_places=1, default=-1, max_digits=4), ), migrations.AddField( model_name='auditgroup2result', name='implementation_score_w', field=models.DecimalField(decimal_places=1, default=-1, max_digits=4), ), migrations.AddField( model_name='auditgroup2rulecategoryresult', name='implementation_score_v', field=models.DecimalField(decimal_places=1, default=-1, max_digits=4), ), migrations.AddField( model_name='auditgroup2rulecategoryresult', name='implementation_score_w', field=models.DecimalField(decimal_places=1, default=-1, max_digits=4), ), migrations.AddField( model_name='auditgroup2ruleresult', name='implementation_score_v', field=models.DecimalField(decimal_places=1, default=-1, max_digits=4), ), migrations.AddField( model_name='auditgroup2ruleresult', name='implementation_score_w', field=models.DecimalField(decimal_places=1, default=-1, max_digits=4), ), migrations.AddField( model_name='auditgroup2rulescoperesult', name='implementation_score_v', field=models.DecimalField(decimal_places=1, default=-1, max_digits=4), ), migrations.AddField( model_name='auditgroup2rulescoperesult', name='implementation_score_w', field=models.DecimalField(decimal_places=1, default=-1, max_digits=4), ), ]

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8b18dbcf938d0495297129454100ef1d7e409f74

6,812

py

Python

server/tests/steps/sql_translator/test_totals.py

CharlesRngrd/weaverbird

67e26c9c1114ff37d1ee8871381cd2c3a971defe

[ "BSD-3-Clause" ]

54

2019-11-20T15:07:39.000Z

2022-03-24T22:13:51.000Z

server/tests/steps/sql_translator/test_totals.py

ToucanToco/weaverbird

7cbd3cc612437a876470cc872efba69526694d62

[ "BSD-3-Clause" ]

786

2019-10-20T11:48:37.000Z

2022-03-23T08:58:18.000Z

server/tests/steps/sql_translator/test_totals.py

davinov/weaverbird

3f907f080729ba70be8872d6c5ed0fdcec9b8a9a

[ "BSD-3-Clause" ]

10

2019-11-21T10:16:16.000Z

2022-03-21T10:34:06.000Z

import pytest from weaverbird.backends.sql_translator.metadata import ColumnMetadata, SqlQueryMetadataManager from weaverbird.backends.sql_translator.steps.totals import translate_totals from weaverbird.backends.sql_translator.types import SQLQuery from weaverbird.pipeline.steps import TotalsStep @pytest.fixture() def query(): return SQLQuery( query_name='SELECT_STEP_0', transformed_query='WITH SELECT_STEP_0 AS (SELECT * FROM products)', selection_query='SELECT * FROM SELECT_STEP_0', metadata_manager=SqlQueryMetadataManager( tables_metadata={ 'table1': { 'VALUE_1': 'int', 'VALUE_2': 'int', 'YEAR': 'int', 'COUNTRY': 'text', 'PRODUCT': 'text', }, }, ), ) def test_translate_totals(query): step = TotalsStep( **{ 'name': 'totals', 'totalDimensions': [ {'totalColumn': 'COUNTRY', 'totalRowsLabel': 'All countries'}, {'totalColumn': 'PRODUCT', 'totalRowsLabel': 'All products'}, ], 'aggregations': [ { 'columns': ['VALUE_1', 'VALUE_2'], 'aggfunction': 'sum', 'newcolumns': ['VALUE_1-SUM', 'VALUE_2-SUM'], }, { 'columns': ['VALUE_1'], 'aggfunction': 'avg', 'newcolumns': ['VALUE_1-AVG'], }, ], 'groups': ['YEAR'], } ) new_query = translate_totals( step, query, index=1, ) expected_query = ( 'WITH SELECT_STEP_0 AS (SELECT * FROM products), TOTALS_STEP_1 AS (' 'SELECT CASE WHEN GROUPING(COUNTRY) = 0 THEN COUNTRY ELSE \'All countries\' END AS "COUNTRY", ' 'CASE WHEN GROUPING(PRODUCT) = 0 THEN PRODUCT ELSE \'All products\' END AS "PRODUCT", ' 'SUM(VALUE_1) AS "VALUE_1-SUM", SUM(VALUE_2) AS "VALUE_2-SUM", AVG(VALUE_1) ' 'AS "VALUE_1-AVG", YEAR FROM SELECT_STEP_0 GROUP BY YEAR, ' 'GROUPING SETS((COUNTRY), (PRODUCT), (COUNTRY, PRODUCT), ()))' ) assert new_query.transformed_query == expected_query assert new_query.query_name == 'TOTALS_STEP_1' assert ( new_query.selection_query == 'SELECT COUNTRY, PRODUCT, VALUE_1-SUM, VALUE_2-SUM, VALUE_1-AVG, YEAR FROM TOTALS_STEP_1' ) assert new_query.metadata_manager.retrieve_query_metadata_columns() == { 'VALUE_1-SUM': ColumnMetadata( name='VALUE_1-SUM', original_name='VALUE_1-SUM', type='FLOAT', original_type='INT', alias=None, delete=False, ), 'VALUE_2-SUM': ColumnMetadata( name='VALUE_2-SUM', original_name='VALUE_2-SUM', type='FLOAT', original_type='FLOAT', alias=None, delete=False, ), 'VALUE_1-AVG': ColumnMetadata( name='VALUE_1-AVG', original_name='VALUE_1-AVG', type='FLOAT', original_type='FLOAT', alias=None, delete=False, ), 'COUNTRY': ColumnMetadata( name='COUNTRY', original_name='COUNTRY', type='TEXT', original_type='text', alias=None, delete=False, ), 'PRODUCT': ColumnMetadata( name='PRODUCT', original_name='PRODUCT', type='TEXT', original_type='text', alias=None, delete=False, ), 'YEAR': ColumnMetadata( name='YEAR', original_name='YEAR', type='INT', original_type='INT', alias=None, delete=False, ), } def test_translate_totals_no_group(query): step = TotalsStep( **{ 'name': 'totals', 'totalDimensions': [ {'totalColumn': 'COUNTRY', 'totalRowsLabel': 'All countries'}, {'totalColumn': 'PRODUCT', 'totalRowsLabel': 'All products'}, ], 'aggregations': [ { 'columns': ['VALUE_1', 'VALUE_2'], 'aggfunction': 'sum', 'newcolumns': ['VALUE_1-SUM', 'VALUE_2-SUM'], }, { 'columns': ['VALUE_1'], 'aggfunction': 'avg', 'newcolumns': ['VALUE_1-AVG'], }, ], 'groups': [], } ) new_query = translate_totals( step, query, index=1, ) expected_query = ( 'WITH SELECT_STEP_0 AS (SELECT * FROM products), TOTALS_STEP_1 AS (' 'SELECT CASE WHEN GROUPING(COUNTRY) = 0 THEN COUNTRY ELSE \'All countries\' END AS "COUNTRY", ' 'CASE WHEN GROUPING(PRODUCT) = 0 THEN PRODUCT ELSE \'All products\' END AS "PRODUCT", ' 'SUM(VALUE_1) AS "VALUE_1-SUM", SUM(VALUE_2) AS "VALUE_2-SUM", AVG(VALUE_1) ' 'AS "VALUE_1-AVG" FROM SELECT_STEP_0 GROUP BY ' 'GROUPING SETS((COUNTRY), (PRODUCT), (COUNTRY, PRODUCT), ()))' ) assert new_query.transformed_query == expected_query assert new_query.query_name == 'TOTALS_STEP_1' assert ( new_query.selection_query == 'SELECT COUNTRY, PRODUCT, VALUE_1-SUM, VALUE_2-SUM, VALUE_1-AVG FROM TOTALS_STEP_1' ) assert new_query.metadata_manager.retrieve_query_metadata_columns() == { 'VALUE_1-SUM': ColumnMetadata( name='VALUE_1-SUM', original_name='VALUE_1-SUM', type='FLOAT', original_type='INT', alias=None, delete=False, ), 'VALUE_2-SUM': ColumnMetadata( name='VALUE_2-SUM', original_name='VALUE_2-SUM', type='FLOAT', original_type='FLOAT', alias=None, delete=False, ), 'VALUE_1-AVG': ColumnMetadata( name='VALUE_1-AVG', original_name='VALUE_1-AVG', type='FLOAT', original_type='FLOAT', alias=None, delete=False, ), 'COUNTRY': ColumnMetadata( name='COUNTRY', original_name='COUNTRY', type='TEXT', original_type='text', alias=None, delete=False, ), 'PRODUCT': ColumnMetadata( name='PRODUCT', original_name='PRODUCT', type='TEXT', original_type='text', alias=None, delete=False, ), }

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6,812

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null

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1

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null

0

7

8b26958a3be9700afe4bba369c28589e4dad9b95

56,222

py

Python

dearpypixl/components/handlers.py

Atlamillias/dearpypixl

b332e23bd847abd729b53b8d77c5f49b604c16b5

[ "MIT" ]

2

2022-01-29T21:50:21.000Z

2022-03-27T11:28:30.000Z

dearpypixl/components/handlers.py

Atlamillias/dearpypixl

b332e23bd847abd729b53b8d77c5f49b604c16b5

[ "MIT" ]

null

dearpypixl/components/handlers.py

Atlamillias/dearpypixl

b332e23bd847abd729b53b8d77c5f49b604c16b5

[ "MIT" ]

null

import functools from inspect import signature, _KEYWORD_ONLY, _VAR_POSITIONAL from types import MethodType from typing import Callable, Any, Union from dearpygui import dearpygui from dearpypixl.components.item import Item from dearpypixl.components.configuration import ItemAttribute, item_attribute, CONFIGURATION __all__ = [ "KeyDownHandler", "KeyPressHandler", "KeyReleaseHandler", "MouseMoveHandler", "MouseWheelHandler", "MouseClickHandler", "MouseDoubleClickHandler", "MouseDownHandler", "MouseReleaseHandler", "MouseDragHandler", "HoverHandler", "ResizeHandler", "FocusHandler", "ActiveHandler", "VisibleHandler", "ActivatedHandler", "DeactivatedHandler", "EditedHandler", "DeactivatedAfterEditHandler", "ToggledOpenHandler", "ClickedHandler", ] class HandlerItem(Item): """Generic class for handler items. """ def __init__(self, callback: Callable | None, **kwargs): super().__init__(**kwargs) self.callback = callback @property @item_attribute(category=CONFIGURATION) def callback(self) -> Callable | None: return dearpygui.get_item_configuration(self._tag)["callback"] @callback.setter def callback(self, _callback: Callable | None) -> None: # Wrapping is done for a couple of reasons. Firstly, to ensure that # the Item instance of `sender` is returned instead of the identifier. # And second; nuitka compilation doesn't like DPG callbacks unless # they are wrapped (lambda, etc.)...for some reason. @functools.wraps(_callback) def call_object(_, app_data, user_data): args = (self, app_data, user_data)[0:pos_arg_cnt] _callback(*args) # Emulating how DearPyGui doesn't require callbacks having 3 positional # arguments. Only pass sender/app_data/user_data if there's "room" to # do so. pos_arg_cnt = 0 for param in signature(_callback).parameters.values(): if param.kind == _VAR_POSITIONAL: pos_arg_cnt = 3 elif param.kind != _KEYWORD_ONLY: pos_arg_cnt += 1 if pos_arg_cnt >= 3: pos_arg_cnt = 3 break wrapper = None if callable(_callback): wrapper = call_object elif _callback is None: wrapper = None else: raise ValueError(f"`callback` is not callable (got {type(_callback)!r}.") dearpygui.configure_item(self._tag, callback=wrapper) class KeyDownHandler(HandlerItem): """Adds a key down handler. Args: key (int, optional): Submits callback for all keys label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ key : int = ItemAttribute("configuration", "get_item_config", "set_item_config", None) show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('Stage', 'TemplateRegistry', 'HandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvKeyDownHandler',) __command__ : Callable = dearpygui.add_key_down_handler def __init__( self , key : int = -1 , label : str = None, user_data : Any = None, use_internal_label: bool = True, callback : Callable = None, show : bool = True, parent : Union[int, str] = 11 , **kwargs , ) -> None: super().__init__( key=key, label=label, user_data=user_data, use_internal_label=use_internal_label, callback=callback, show=show, parent=parent, **kwargs, ) class KeyPressHandler(HandlerItem): """Adds a key press handler. Args: key (int, optional): Submits callback for all keys label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ key : int = ItemAttribute("configuration", "get_item_config", "set_item_config", None) show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('Stage', 'TemplateRegistry', 'HandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvKeyPressHandler',) __command__ : Callable = dearpygui.add_key_press_handler def __init__( self , key : int = -1 , label : str = None, user_data : Any = None, use_internal_label: bool = True, callback : Callable = None, show : bool = True, parent : Union[int, str] = 11 , **kwargs , ) -> None: super().__init__( key=key, label=label, user_data=user_data, use_internal_label=use_internal_label, callback=callback, show=show, parent=parent, **kwargs, ) class KeyReleaseHandler(HandlerItem): """Adds a key release handler. Args: key (int, optional): Submits callback for all keys label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ key : int = ItemAttribute("configuration", "get_item_config", "set_item_config", None) show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('Stage', 'TemplateRegistry', 'HandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvKeyReleaseHandler',) __command__ : Callable = dearpygui.add_key_release_handler def __init__( self , key : int = -1 , label : str = None, user_data : Any = None, use_internal_label: bool = True, callback : Callable = None, show : bool = True, parent : Union[int, str] = 11 , **kwargs , ) -> None: super().__init__( key=key, label=label, user_data=user_data, use_internal_label=use_internal_label, callback=callback, show=show, parent=parent, **kwargs, ) class MouseMoveHandler(HandlerItem): """Adds a mouse move handler. Args: label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('TemplateRegistry', 'Stage', 'HandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvMouseMoveHandler',) __command__ : Callable = dearpygui.add_mouse_move_handler def __init__( self , label : str = None, user_data : Any = None, use_internal_label: bool = True, callback : Callable = None, show : bool = True, parent : Union[int, str] = 11 , **kwargs , ) -> None: super().__init__( label=label, user_data=user_data, use_internal_label=use_internal_label, callback=callback, show=show, parent=parent, **kwargs, ) class MouseWheelHandler(HandlerItem): """Adds a mouse wheel handler. Args: label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('TemplateRegistry', 'Stage', 'HandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvMouseWheelHandler',) __command__ : Callable = dearpygui.add_mouse_wheel_handler def __init__( self , label : str = None, user_data : Any = None, use_internal_label: bool = True, callback : Callable = None, show : bool = True, parent : Union[int, str] = 11 , **kwargs , ) -> None: super().__init__( label=label, user_data=user_data, use_internal_label=use_internal_label, callback=callback, show=show, parent=parent, **kwargs, ) class MouseClickHandler(HandlerItem): """Adds a mouse click handler. Args: button (int, optional): Submits callback for all mouse buttons label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ button : int = ItemAttribute("configuration", "get_item_config", "set_item_config", None) show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('Stage', 'TemplateRegistry', 'HandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvMouseClickHandler',) __command__ : Callable = dearpygui.add_mouse_click_handler def __init__( self , button : int = -1 , label : str = None, user_data : Any = None, use_internal_label: bool = True, callback : Callable = None, show : bool = True, parent : Union[int, str] = 11 , **kwargs , ) -> None: super().__init__( button=button, label=label, user_data=user_data, use_internal_label=use_internal_label, callback=callback, show=show, parent=parent, **kwargs, ) class MouseDoubleClickHandler(HandlerItem): """Adds a mouse double click handler. Args: button (int, optional): Submits callback for all mouse buttons label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ button : int = ItemAttribute("configuration", "get_item_config", "set_item_config", None) show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('TemplateRegistry', 'Stage', 'HandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvMouseDoubleClickHandler',) __command__ : Callable = dearpygui.add_mouse_double_click_handler def __init__( self , button : int = -1 , label : str = None, user_data : Any = None, use_internal_label: bool = True, callback : Callable = None, show : bool = True, parent : Union[int, str] = 11 , **kwargs , ) -> None: super().__init__( button=button, label=label, user_data=user_data, use_internal_label=use_internal_label, callback=callback, show=show, parent=parent, **kwargs, ) class MouseDownHandler(HandlerItem): """Adds a mouse down handler. Args: button (int, optional): Submits callback for all mouse buttons label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ button : int = ItemAttribute("configuration", "get_item_config", "set_item_config", None) show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('TemplateRegistry', 'Stage', 'HandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvMouseDownHandler',) __command__ : Callable = dearpygui.add_mouse_down_handler def __init__( self , button : int = -1 , label : str = None, user_data : Any = None, use_internal_label: bool = True, callback : Callable = None, show : bool = True, parent : Union[int, str] = 11 , **kwargs , ) -> None: super().__init__( button=button, label=label, user_data=user_data, use_internal_label=use_internal_label, callback=callback, show=show, parent=parent, **kwargs, ) class MouseReleaseHandler(HandlerItem): """Adds a mouse release handler. Args: button (int, optional): Submits callback for all mouse buttons label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ button : int = ItemAttribute("configuration", "get_item_config", "set_item_config", None) show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('TemplateRegistry', 'Stage', 'HandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvMouseReleaseHandler',) __command__ : Callable = dearpygui.add_mouse_release_handler def __init__( self , button : int = -1 , label : str = None, user_data : Any = None, use_internal_label: bool = True, callback : Callable = None, show : bool = True, parent : Union[int, str] = 11 , **kwargs , ) -> None: super().__init__( button=button, label=label, user_data=user_data, use_internal_label=use_internal_label, callback=callback, show=show, parent=parent, **kwargs, ) class MouseDragHandler(HandlerItem): """Adds a mouse drag handler. Args: button (int, optional): Submits callback for all mouse buttons threshold (float, optional): The threshold the mouse must be dragged before the callback is ran label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ button : int = ItemAttribute("configuration", "get_item_config", "set_item_config", None) threshold : float = ItemAttribute("configuration", "get_item_config", "set_item_config", None) show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('TemplateRegistry', 'Stage', 'HandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvMouseDragHandler',) __command__ : Callable = dearpygui.add_mouse_drag_handler def __init__( self , button : int = -1 , threshold : float = 10.0, label : str = None, user_data : Any = None, use_internal_label: bool = True, callback : Callable = None, show : bool = True, parent : Union[int, str] = 11 , **kwargs , ) -> None: super().__init__( button=button, threshold=threshold, label=label, user_data=user_data, use_internal_label=use_internal_label, callback=callback, show=show, parent=parent, **kwargs, ) class HoverHandler(HandlerItem): """Adds a hover handler. Args: label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('Stage', 'TemplateRegistry', 'ItemHandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvHoverHandler',) __command__ : Callable = dearpygui.add_item_hover_handler def __init__( self , label : str = None, user_data : Any = None, use_internal_label: bool = True, parent : Union[int, str] = 0 , callback : Callable = None, show : bool = True, **kwargs , ) -> None: super().__init__( label=label, user_data=user_data, use_internal_label=use_internal_label, parent=parent, callback=callback, show=show, **kwargs, ) class ResizeHandler(HandlerItem): """Adds a resize handler. Args: label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('Stage', 'TemplateRegistry', 'ItemHandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvResizeHandler',) __command__ : Callable = dearpygui.add_item_resize_handler def __init__( self , label : str = None, user_data : Any = None, use_internal_label: bool = True, parent : Union[int, str] = 0 , callback : Callable = None, show : bool = True, **kwargs , ) -> None: super().__init__( label=label, user_data=user_data, use_internal_label=use_internal_label, parent=parent, callback=callback, show=show, **kwargs, ) class FocusHandler(HandlerItem): """Adds a focus handler. Args: label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('Stage', 'TemplateRegistry', 'ItemHandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvFocusHandler',) __command__ : Callable = dearpygui.add_item_focus_handler def __init__( self , label : str = None, user_data : Any = None, use_internal_label: bool = True, parent : Union[int, str] = 0 , callback : Callable = None, show : bool = True, **kwargs , ) -> None: super().__init__( label=label, user_data=user_data, use_internal_label=use_internal_label, parent=parent, callback=callback, show=show, **kwargs, ) class ActiveHandler(HandlerItem): """Adds a active handler. Args: label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('Stage', 'TemplateRegistry', 'ItemHandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvActiveHandler',) __command__ : Callable = dearpygui.add_item_active_handler def __init__( self , label : str = None, user_data : Any = None, use_internal_label: bool = True, parent : Union[int, str] = 0 , callback : Callable = None, show : bool = True, **kwargs , ) -> None: super().__init__( label=label, user_data=user_data, use_internal_label=use_internal_label, parent=parent, callback=callback, show=show, **kwargs, ) class VisibleHandler(HandlerItem): """Adds a visible handler. Args: label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('Stage', 'TemplateRegistry', 'ItemHandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvVisibleHandler',) __command__ : Callable = dearpygui.add_item_visible_handler def __init__( self , label : str = None, user_data : Any = None, use_internal_label: bool = True, parent : Union[int, str] = 0 , callback : Callable = None, show : bool = True, **kwargs , ) -> None: super().__init__( label=label, user_data=user_data, use_internal_label=use_internal_label, parent=parent, callback=callback, show=show, **kwargs, ) class ActivatedHandler(HandlerItem): """Adds a activated handler. Args: label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('Stage', 'TemplateRegistry', 'ItemHandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvActivatedHandler',) __command__ : Callable = dearpygui.add_item_activated_handler def __init__( self , label : str = None, user_data : Any = None, use_internal_label: bool = True, parent : Union[int, str] = 0 , callback : Callable = None, show : bool = True, **kwargs , ) -> None: super().__init__( label=label, user_data=user_data, use_internal_label=use_internal_label, parent=parent, callback=callback, show=show, **kwargs, ) class DeactivatedHandler(HandlerItem): """Adds a deactivated handler. Args: label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('Stage', 'TemplateRegistry', 'ItemHandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvDeactivatedHandler',) __command__ : Callable = dearpygui.add_item_deactivated_handler def __init__( self , label : str = None, user_data : Any = None, use_internal_label: bool = True, parent : Union[int, str] = 0 , callback : Callable = None, show : bool = True, **kwargs , ) -> None: super().__init__( label=label, user_data=user_data, use_internal_label=use_internal_label, parent=parent, callback=callback, show=show, **kwargs, ) class EditedHandler(HandlerItem): """Adds an edited handler. Args: label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('Stage', 'TemplateRegistry', 'ItemHandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvEditedHandler',) __command__ : Callable = dearpygui.add_item_edited_handler def __init__( self , label : str = None, user_data : Any = None, use_internal_label: bool = True, parent : Union[int, str] = 0 , callback : Callable = None, show : bool = True, **kwargs , ) -> None: super().__init__( label=label, user_data=user_data, use_internal_label=use_internal_label, parent=parent, callback=callback, show=show, **kwargs, ) class DeactivatedAfterEditHandler(HandlerItem): """Adds a deactivated after edit handler. Args: label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('Stage', 'TemplateRegistry', 'ItemHandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvDeactivatedAfterEditHandler',) __command__ : Callable = dearpygui.add_item_deactivated_after_edit_handler def __init__( self , label : str = None, user_data : Any = None, use_internal_label: bool = True, parent : Union[int, str] = 0 , callback : Callable = None, show : bool = True, **kwargs , ) -> None: super().__init__( label=label, user_data=user_data, use_internal_label=use_internal_label, parent=parent, callback=callback, show=show, **kwargs, ) class ToggledOpenHandler(HandlerItem): """Adds a togged open handler. Args: label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('Stage', 'TemplateRegistry', 'ItemHandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvToggledOpenHandler',) __command__ : Callable = dearpygui.add_item_toggled_open_handler def __init__( self , label : str = None, user_data : Any = None, use_internal_label: bool = True, parent : Union[int, str] = 0 , callback : Callable = None, show : bool = True, **kwargs , ) -> None: super().__init__( label=label, user_data=user_data, use_internal_label=use_internal_label, parent=parent, callback=callback, show=show, **kwargs, ) class ClickedHandler(HandlerItem): """Adds a clicked handler. Args: button (int, optional): Submits callback for all mouse buttons label (str, optional): Overrides 'name' as label. user_data (Any, optional): User data for callbacks use_internal_label (bool, optional): Use generated internal label instead of user specified (appends ### uuid). tag (Union[int, str], optional): Unique id used to programmatically refer to the item.If label is unused this will be the label. parent (Union[int, str], optional): Parent to add this item to. (runtime adding) callback (Callable, optional): Registers a callback. show (bool, optional): Attempt to render widget. id (Union[int, str], optional): (deprecated) Returns: Union[int, str] """ button : int = ItemAttribute("configuration", "get_item_config", "set_item_config", None) show : bool = ItemAttribute("configuration", "get_item_config", "set_item_config", None) __is_container__ : bool = False __is_root_item__ : bool = False __is_value_able__: bool = False __able_parents__ : tuple = ('Stage', 'TemplateRegistry', 'ItemHandlerRegistry') __able_children__: tuple = () __commands__ : tuple = () __constants__ : tuple = ('mvClickedHandler',) __command__ : Callable = dearpygui.add_item_clicked_handler def __init__( self , button : int = -1 , label : str = None, user_data : Any = None, use_internal_label: bool = True, parent : Union[int, str] = 0 , callback : Callable = None, show : bool = True, **kwargs , ) -> None: super().__init__( button=button, label=label, user_data=user_data, use_internal_label=use_internal_label, parent=parent, callback=callback, show=show, **kwargs, )

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Python

server/tests/test_reactions.py

metamdb/metamdb

f884cfb604007ed0bbebbd76ee353fa14797b5fb

[ "MIT" ]

1

2022-03-13T12:33:12.000Z

server/tests/test_reactions.py

metamdb/metamdb

f884cfb604007ed0bbebbd76ee353fa14797b5fb

[ "MIT" ]

null

server/tests/test_reactions.py

metamdb/metamdb

f884cfb604007ed0bbebbd76ee353fa14797b5fb

[ "MIT" ]

null

def test_single_id(client): response = client.get('/api/reactions/1') json_data = response.get_json() print(response) json_data_result = { 'balanced': False, 'compounds': [{ 'compound': { 'id': 1, 'name': 'fumarate', 'inchi': 'InChI=1S/C4H4O4/c5-3(6)1-2-4(7)8/h1-2H,(H,5,6)(H,7,8)/b2-1+', 'formula': 'C4H4O4' }, 'position': 1, 'quantity': 1, 'reactant': 'substrate' }], 'externalUrls': { 'img': 'https://metamdb.tu-bs.de/img/aam/1', 'metamdb': 'https://metamdb.tu-bs.de/reaction/1' }, 'formula': 'succinate <=> fumarate', 'href': 'https://metamdb.tu-bs.de/api/reactions/1', 'id': 1, 'identifiers': [{ 'databaseIdentifier': 'SUC-FUM-OX-RXN', 'source': { 'id': 1, 'name': 'metacyc' } }], 'rxnFile': 'LARGE RXN FILE', 'type': 'reaction', 'updated': False, 'updatedBy': None, 'updatedOn': None } assert response.status_code == 200 assert json_data == json_data_result def test_single_id2(client): response = client.get('/api/reactions/2') json_data = response.get_json() json_data_result = { 'balanced': False, 'compounds': [], 'externalUrls': { 'img': 'https://metamdb.tu-bs.de/img/aam/2', 'metamdb': 'https://metamdb.tu-bs.de/reaction/2' }, 'formula': 'malate <=> fumarate', 'href': 'https://metamdb.tu-bs.de/api/reactions/2', 'id': 2, 'identifiers': [{ 'databaseIdentifier': 'RXN-0543', 'source': { 'id': 1, 'name': 'metacyc' } }], 'rxnFile': 'LARGE RXN FILE', 'type': 'reaction', 'updated': True, 'updatedBy': { 'id': 1, 'name': 'Test Name', 'orcid': '0000-0000-1234-5678', 'role': { 'id': 1, 'name': 'Reviewer' } }, 'updatedOn': None } assert response.status_code == 200 assert json_data == json_data_result def test_single_wrong_id(client): response = client.get('/api/reactions/3') json_data = response.get_json() json_data_result = {'message': 'Invalid id'} assert response.status_code == 404 assert json_data == json_data_result def test_single_bad_id(client): response = client.get('/api/reactions/thisisanid') json_data = response.get_json() json_data_result = {'message': 'Invalid id'} assert response.status_code == 404 assert json_data == json_data_result def test_single_bad_id2(client): response = client.get('/api/reactions/$$$$') json_data = response.get_json() json_data_result = {'message': 'Invalid id'} assert response.status_code == 404 assert json_data == json_data_result def test_multiple_ids(client): response = client.get('/api/reactions?ids=1,2') json_data = response.get_json() json_data_result = { 'reactions': [{ 'balanced': False, 'compounds': [{ 'compound': { 'id': 1, 'name': 'fumarate', 'inchi': 'InChI=1S/C4H4O4/c5-3(6)1-2-4(7)8/h1-2H,(H,5,6)(H,7,8)/b2-1+', 'formula': 'C4H4O4' }, 'position': 1, 'quantity': 1, 'reactant': 'substrate' }], 'externalUrls': { 'img': 'https://metamdb.tu-bs.de/img/aam/1', 'metamdb': 'https://metamdb.tu-bs.de/reaction/1' }, 'formula': 'succinate <=> fumarate', 'href': 'https://metamdb.tu-bs.de/api/reactions/1', 'id': 1, 'identifiers': [{ 'databaseIdentifier': 'SUC-FUM-OX-RXN', 'source': { 'id': 1, 'name': 'metacyc' } }], 'rxnFile': 'LARGE RXN FILE', 'type': 'reaction', 'updated': False, 'updatedBy': None, 'updatedOn': None }, { 'balanced': False, 'compounds': [], 'externalUrls': { 'img': 'https://metamdb.tu-bs.de/img/aam/2', 'metamdb': 'https://metamdb.tu-bs.de/reaction/2' }, 'formula': 'malate <=> fumarate', 'href': 'https://metamdb.tu-bs.de/api/reactions/2', 'id': 2, 'identifiers': [{ 'databaseIdentifier': 'RXN-0543', 'source': { 'id': 1, 'name': 'metacyc' } }], 'rxnFile': 'LARGE RXN FILE', 'type': 'reaction', 'updated': True, 'updatedBy': { 'id': 1, 'name': 'Test Name', 'orcid': '0000-0000-1234-5678', 'role': { 'id': 1, 'name': 'Reviewer' } }, 'updatedOn': None }] } assert response.status_code == 200 assert json_data == json_data_result def test_multiple_ids_one_wrong(client): response = client.get('/api/reactions?ids=1,3') json_data = response.get_json() json_data_result = { 'reactions': [{ 'balanced': False, 'compounds': [{ 'compound': { 'id': 1, 'name': 'fumarate', 'inchi': 'InChI=1S/C4H4O4/c5-3(6)1-2-4(7)8/h1-2H,(H,5,6)(H,7,8)/b2-1+', 'formula': 'C4H4O4' }, 'position': 1, 'quantity': 1, 'reactant': 'substrate' }], 'externalUrls': { 'img': 'https://metamdb.tu-bs.de/img/aam/1', 'metamdb': 'https://metamdb.tu-bs.de/reaction/1' }, 'formula': 'succinate <=> fumarate', 'href': 'https://metamdb.tu-bs.de/api/reactions/1', 'id': 1, 'identifiers': [{ 'databaseIdentifier': 'SUC-FUM-OX-RXN', 'source': { 'id': 1, 'name': 'metacyc' } }], 'rxnFile': 'LARGE RXN FILE', 'type': 'reaction', 'updated': False, 'updatedBy': None, 'updatedOn': None }, None] } assert response.status_code == 200 assert json_data == json_data_result def test_multiple_ids_all_wrong(client): response = client.get('/api/reactions?ids=4,3') json_data = response.get_json() json_data_result = {'reactions': [None, None]} assert response.status_code == 200 assert json_data == json_data_result def test_multiple_ids_one_bad(client): response = client.get('/api/reactions?ids=1,abc') json_data = response.get_json() json_data_result = { 'reactions': [{ 'balanced': False, 'compounds': [{ 'compound': { 'id': 1, 'name': 'fumarate', 'inchi': 'InChI=1S/C4H4O4/c5-3(6)1-2-4(7)8/h1-2H,(H,5,6)(H,7,8)/b2-1+', 'formula': 'C4H4O4' }, 'position': 1, 'quantity': 1, 'reactant': 'substrate' }], 'externalUrls': { 'img': 'https://metamdb.tu-bs.de/img/aam/1', 'metamdb': 'https://metamdb.tu-bs.de/reaction/1' }, 'formula': 'succinate <=> fumarate', 'href': 'https://metamdb.tu-bs.de/api/reactions/1', 'id': 1, 'identifiers': [{ 'databaseIdentifier': 'SUC-FUM-OX-RXN', 'source': { 'id': 1, 'name': 'metacyc' } }], 'rxnFile': 'LARGE RXN FILE', 'type': 'reaction', 'updated': False, 'updatedBy': None, 'updatedOn': None }, None] } assert response.status_code == 200 assert json_data == json_data_result def test_multiple_ids_all_bad(client): response = client.get('/api/reactions?ids=$$$,abc') json_data = response.get_json() json_data_result = {'reactions': [None, None]} assert response.status_code == 200 assert json_data == json_data_result def test_multiple_ids_no_ids(client): response = client.get('/api/reactions?ids=') json_data = response.get_json() json_data_result = {'message': 'Ids are required but none were given'} assert response.status_code == 400 assert json_data == json_data_result def test_multiple_ids_no_ids2(client): response = client.get('/api/reactions?abc=abc') json_data = response.get_json() json_data_result = { 'message': 'The following query parameter/s are required but were not given: [ids]' } assert response.status_code == 400 assert json_data == json_data_result def test_multiple_ids_no_ids3(client): response = client.get('/api/reactions') json_data = response.get_json() json_data_result = { 'message': 'The following query parameter/s are required but were not given: [ids]' } assert response.status_code == 400 assert json_data == json_data_result

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0.876631

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0.403522

10,334

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1

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1

0

null

0

7

8ca6f099e02f7024ec631fc1d2865c82f3a2eeb7

5,220

py

Python

TestModule/UserPlayerTest.py

INYEONGKIM/Quattro

0fd70b08716f71404f520941791cd314d90de83a

[ "MIT" ]

null

TestModule/UserPlayerTest.py

INYEONGKIM/Quattro

0fd70b08716f71404f520941791cd314d90de83a

[ "MIT" ]

null

TestModule/UserPlayerTest.py

INYEONGKIM/Quattro

0fd70b08716f71404f520941791cd314d90de83a

[ "MIT" ]

null

import unittest from QuattroComponents.Player import Player from QuattroComponents.Card import Card from TestModule.GetMethodName import get_method_name_decorator class UserPlayerTest(unittest.TestCase): player = Player(user_name="player", user_deck=[]) method_names = set() @get_method_name_decorator def test_is_quattro(self): self.player.user_deck = [ Card(number=1, color='green', isOpen=False), Card(number=1, color='blue', isOpen=False), Card(number=5, color='yellow', isOpen=False), Card(number=2, color='red', isOpen=False) ] self.assertTrue(self.player.isQuattro(), msg="Normal Quattro-Case Test Fail!") self.player.user_deck = [ Card(number=0, color='zero', isOpen=False), Card(number=1, color='blue', isOpen=False), Card(number=5, color='yellow', isOpen=False), Card(number=2, color='red', isOpen=False) ] self.assertTrue(self.player.isQuattro(), msg="Zero-include Quattro-Case Test Fail!") self.player.user_deck = [ Card(number=0, color='zero', isOpen=False), Card(number=0, color='zero', isOpen=False), Card(number=1, color='blue', isOpen=False), Card(number=2, color='red', isOpen=False) ] self.assertFalse(self.player.isQuattro(), msg="Two Zeros False Test Fail!") self.player.user_deck = [ Card(number=3, color='blue', isOpen=False), Card(number=1, color='blue', isOpen=False), Card(number=5, color='yellow', isOpen=False), Card(number=2, color='red', isOpen=False) ] self.assertFalse(self.player.isQuattro(), msg="Duplicate Color Test Fail!") @get_method_name_decorator def test_calculate_score_and_top(self): self.player.user_deck = [ Card(number=1, color='green', isOpen=False), Card(number=1, color='blue', isOpen=False), Card(number=1, color='yellow', isOpen=False), Card(number=1, color='red', isOpen=False) ] self.player.calculate_total_score() self.assertEqual(self.player.total_score, 4, msg="Normal Quattro-Case Calculate Test Fail!") self.assertEqual(self.player.top_card, 1, msg="Normal Quattro-Case Top-Card Test Fail!") self.player.total_score = 0 self.top_card = -1 self.player.user_deck = [ Card(number=0, color='zero', isOpen=False), Card(number=1, color='blue', isOpen=False), Card(number=1, color='yellow', isOpen=False), Card(number=1, color='red', isOpen=False) ] self.player.calculate_total_score() self.assertEqual(self.player.total_score, 3, msg="Zero-include Quattro-Case Calculate Test Fail!") self.assertEqual(self.player.top_card, 1, msg="Zero-include Quattro-Case Top-Card Test Fail!") self.player.total_score = 0 self.top_card = -1 self.player.user_deck = [ Card(number=0, color='zero', isOpen=False), Card(number=0, color='zero', isOpen=False), Card(number=1, color='yellow', isOpen=False), Card(number=1, color='red', isOpen=False) ] self.player.calculate_total_score() self.assertEqual(self.player.total_score, 0, msg="Two Zeros Calculate Test Fail!") self.assertEqual(self.player.top_card, 1, msg="Two Zeros Top-Card Test Fail!") self.player.total_score = 0 self.top_card = -1 self.player.user_deck = [ Card(number=0, color='zero', isOpen=False), Card(number=2, color='yellow', isOpen=False), Card(number=1, color='yellow', isOpen=False), Card(number=1, color='red', isOpen=False) ] self.player.calculate_total_score() self.assertEqual(self.player.total_score, 0, msg="Non-Quattro Case Calculate Test Fail!") self.assertEqual(self.player.top_card, 2, msg="Non-Quattro Case Top-Card Test Fail!") self.player.total_score = 0 self.top_card = -1 self.player.user_deck = [ Card(number=1, color='blue', isOpen=False), Card(number=2, color='yellow', isOpen=False), Card(number=2, color='green', isOpen=False), Card(number=1, color='red', isOpen=False) ] self.player.calculate_total_score() self.assertEqual(self.player.total_score, 6, msg="Duplicate Color Top Case Calculate Test Fail!") self.assertEqual(self.player.top_card, 2, msg="Duplicate Color Top Case Top-Card Test Fail!") self.player.total_score = 0 self.top_card = -1 self.player.user_deck = [ Card(number=6, color='blue', isOpen=False), Card(number=5, color='yellow', isOpen=False), Card(number=4, color='green', isOpen=False), Card(number=3, color='red', isOpen=False) ] self.player.calculate_total_score() self.assertEqual(self.player.total_score, 18, msg="Normal Top Case Calculate Test Fail!") self.assertEqual(self.player.top_card, 6, msg="Normal Top Case Top-Card Test Fail!")

45

106

0.619349

669

5,220

4.73991

0.088191

0.126143

0.141911

0.198676

0.886156

0.865027

0.829076

0.811416

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0.015941

0.242912

5,220

115

107

45.391304

0.786437

0

0.61165

0

0.145594

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1

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false

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0.038835

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0

null

0

1

0

null

0

7

8caac2e14bda4b1d7f43cf825cd665a7be5a59c4

3,757

py

Python

lapis_tests/test_job_caching.py

tfesenbecker/lapis

0a79525ad0c3418893232fb084d9437b625696a5

[ "MIT" ]

null

lapis_tests/test_job_caching.py

tfesenbecker/lapis

0a79525ad0c3418893232fb084d9437b625696a5

[ "MIT" ]

13

2020-09-17T14:17:14.000Z

2020-10-14T14:30:58.000Z

lapis_tests/test_job_caching.py

tfesenbecker/lapis

0a79525ad0c3418893232fb084d9437b625696a5

[ "MIT" ]

null

from usim import time from lapis.job import Job from lapis_tests import via_usim, DummyDrone class TestJobCaching(object): @via_usim async def test_calculation_time(self): self.job = Job(resources={"walltime": 60}, used_resources={"walltime": 10, "cores": 0.7}) self.job.drone = DummyDrone(1) starttime = time.now await self.job._calculate() assert time.now - starttime == 10 self.job = Job(resources={"walltime": 60, "inputfiles": {"file"}}, used_resources={"walltime": 10, "cores": 0.7}) self.job.drone = DummyDrone(1) starttime = time.now await self.job._calculate() assert time.now - starttime == 7 self.job = Job(resources={"walltime": 60, "inputfiles": {"file"}}, used_resources={"walltime": 10, "cores": 0.7}, calculation_efficiency=0.5) self.job.drone = DummyDrone(1) starttime = time.now await self.job._calculate() assert time.now - starttime == 14 self.job = Job(resources={"walltime": 60, "inputfiles": {"file"}}, used_resources={"walltime": 10}, calculation_efficiency=0.5) self.job.drone = DummyDrone(1) starttime = time.now await self.job._calculate() assert time.now - starttime == 10 @via_usim async def test_transfer_time(self): conversion_GB_to_B = 1000 * 1000 * 1000 drone = DummyDrone(1) self.job = Job(resources={"walltime": 60, "inputfiles": {"file": {"usedsize": 20 *conversion_GB_to_B}}}, used_resources={"walltime": 10, "inputfiles": { "file": {"usedsize": 20 * conversion_GB_to_B, "hitrates": {}}} }, calculation_efficiency=1.0) self.job.drone = drone starttime = time.now await self.job._transfer_inputfiles() assert time.now - starttime == 20 self.job = Job(resources={"walltime": 60}, used_resources={"walltime": 10}, calculation_efficiency=1.0) self.job.drone = drone starttime = time.now await self.job._transfer_inputfiles() assert time.now - starttime == 0 self.job = Job(resources={"walltime": 60, "inputfiles": { "file": {"usedsize": 20 *conversion_GB_to_B}}}, used_resources={"walltime": 10}, calculation_efficiency=1.0) self.job.drone = drone starttime = time.now await self.job._transfer_inputfiles() assert time.now - starttime == 0 self.job = Job(resources={"walltime": 60, "inputfiles": { "file": {"usedsize": 20 * conversion_GB_to_B}}}, used_resources={"walltime": 10, "inputfiles": { "file": {"usedsize": 20 * conversion_GB_to_B, "hitrates": {}}, } }, calculation_efficiency=1.0) self.job.drone = drone starttime = time.now await self.job._transfer_inputfiles() assert time.now - starttime == 20

39.135417

96

0.47325

342

3,757

5.046784

0.134503

0.097335

0.04635

0.088065

0.894554

0.872538

0

0.041096

0.417088

3,757

95

97

39.547368

0.747032

0

0.746835

0

0.082801

0

0.101266

1

0

false

0

0.037975

0

0.050633

0

null

0

1

0

1

0

null

0

7

50843364fde2dba9e0c7b90260c1436fcccfb7e1

8,675

py

Python

test/ai4cities_invest_model_scenarios.py

enerflow/ai4cities-model

cffe22b661f4c9cef55d708ddfb8f1cf0ed63347

[ "Apache-2.0" ]

null

test/ai4cities_invest_model_scenarios.py

enerflow/ai4cities-model

cffe22b661f4c9cef55d708ddfb8f1cf0ed63347

[ "Apache-2.0" ]

null

test/ai4cities_invest_model_scenarios.py

enerflow/ai4cities-model

cffe22b661f4c9cef55d708ddfb8f1cf0ed63347

[ "Apache-2.0" ]

null

from ai4cities.ai4cities_invest_model import solve_model, model_invest, model_invest_input, model_invest_results import pandas as pd import numpy as np import copy # Set solver #solver = {'name':"cbc",'path': "C:/cbc-win64/cbc"} solver = {'name':"cbc"} # Import data data = pd.read_csv('./data/data.csv', header=[0], sep=',', index_col=0, parse_dates = True) # Copy data to new dataframe df = copy.copy(data) # Assign value to every unique month-year df['TM'] = df.index.month df['TY'] = df.index.year df['month_order'] = df['TM'] + (df['TY'] - df['TY'][0])*12 - df['TM'][0]+1 df = df.drop(columns=['TM', 'TY']) #%% Tarrif structures # Example 1 - Fixed energy tariff # Prices for Affärsverken Elnät AB (Fuse 16A, appartment) fixed_charge = 14.5 # €/Month df['grid_energy_import_fee'] = 45*0.001 # €/kWh df['grid_energy_export_fee'] = 0 # €/kWh df['grid_power_import_fee'] = 0 # €/kW-month df['grid_power_export_fee'] = 0 # €/kW-month # Example 2 - Power based tariff # Prices for Bjäre Kraft ek för (Fuse 16, house) fixed_charge = 14.1 # €/Month df['grid_energy_import_fee'] = 0 # €/kWh df['grid_energy_export_fee'] = 0 # €/kWh df['grid_power_import_fee'] = 0 # €/kW-month df['grid_power_export_fee'] = 0 # €/kW-month # Set grid energy fee for different months, days and hours for i in [1,2,3,11,12]: df.loc[(df.index.month == i),'grid_power_import_fee'] = 12.6 for i in [4,5,6,7,8,9,10]: for j in list(range(0,5)): for k in list(range(9,19)): df.loc[(df.index.month == i) & (df.index.weekday == j) & (df.index.hour == k),'grid_power_import_fee'] = 7.5 # Example 3 - Time based tariff # Prices for Ellevio AB Dalarna Södra (Fuse 16A, house) fixed_charge = 25.5 # €/Month df['grid_energy_import_fee'] = 9*0.001 # €/kWh df['grid_energy_export_fee'] = 0 # €/kWh df['grid_power_import_fee'] = 0 # €/kW-month df['grid_power_export_fee'] = 0 # €/kW-month # Set grid energy fee for different months, days and hours for i in [1,2,3,11,12]: for j in list(range(0,5)): for k in list(range(8,22)): df.loc[(df.index.month == i) & (df.index.weekday == j) & (df.index.hour == k),'grid_energy_import_fee'] = 58*0.001 for i in [4,5,6,7,8,9,10]: df.loc[(df.index.month == i),'grid_energy_import_fee'] = 9*0.001 #%% Scenario 1: No PV/Battery/Heating data_dict = { 'demand': df['Electricity demand [kWh]'].to_list(), 'energy_price_buy': (df['DAM Price [EUR/MWh]']/1000).to_list(), 'energy_price_sell': (0.99*df['DAM Price [EUR/MWh]']/1000).to_list(), 'grid_fixed_fee': fixed_charge, 'grid_energy_import_fee': df['grid_energy_import_fee'].to_list(), 'grid_energy_export_fee': df['grid_energy_export_fee'].to_list(), 'grid_power_import_fee': df['grid_power_import_fee'].to_list(), 'grid_power_export_fee': df['grid_power_export_fee'].to_list(), 'emission_factor_grid': list(5*np.ones(len(df))), 'month_order': df['month_order'].to_list(), 'dt': 1.0, } # Create model data structure model_data = model_invest_input(data_dict) # Create model instance with data model_instance = model_invest(model_data) # Solve solution = solve_model(model_instance, solver) # Get results results = model_invest_results(solution) #%% Scenario 2: PV/Battery sizing - No Heating data_dict = { 'invest_cost_battery': 20, 'invest_cost_pv': 30, 'battery_capacity_max': 5, 'pv_capacity_max': 20, 'pv_lifespan': 25, 'battery_lifespan': 10, 'discount_rate': 0.03, 'demand': df['Electricity demand [kWh]'].to_list(), 'generation_pu': df['PV 1kWp 180Azim 40Tilt Physical [kW]'].to_list(), 'battery_min_level': 0.0, 'battery_charge_max': 0.5, 'battery_discharge_max': 0.5, 'battery_efficiency_charge': 0.9, 'battery_efficiency_discharge': 0.9, 'battery_grid_charging': True, 'bel_ini_level': 0.0, 'bel_fin_level': 0.0, 'energy_price_buy': (df['DAM Price [EUR/MWh]']/1000).to_list(), 'energy_price_sell': (0.99*df['DAM Price [EUR/MWh]']/1000).to_list(), 'grid_fixed_fee': fixed_charge, 'grid_energy_import_fee': df['grid_energy_import_fee'].to_list(), 'grid_energy_export_fee': df['grid_energy_export_fee'].to_list(), 'grid_power_import_fee': df['grid_power_import_fee'].to_list(), 'grid_power_export_fee': df['grid_power_export_fee'].to_list(), 'emission_factor_grid': list(5*np.ones(len(df))), 'month_order': df['month_order'].to_list(), 'dt': 1.0, } # Create model data structure model_data = model_invest_input(data_dict) # Create model instance with data model_instance = model_invest(model_data) # Solve solution = solve_model(model_instance, solver) # Get results results = model_invest_results(solution) #%% Scenario 3: PV/Battery/Heat pump sizing data_dict = { 'invest_cost_battery': 20, 'invest_cost_pv': 30, 'invest_cost_heat_pump': 10, 'battery_capacity_max': 5, 'pv_capacity_max': 20, 'heat_pump_capacity_max': 2000, 'pv_lifespan': 25, 'battery_lifespan': 10, 'heat_pump_lifespan': 25, 'discount_rate': 0.03, 'demand': df['Electricity demand [kWh]'].to_list(), 'generation_pu': df['PV 1kWp 180Azim 40Tilt Physical [kW]'].to_list(), 'heat_demand': df['Heat demand [kWh]'].to_list(), 'battery_min_level': 0.0, 'battery_charge_max': 0.5, 'battery_discharge_max': 0.5, 'battery_efficiency_charge': 0.9, 'battery_efficiency_discharge': 0.9, 'battery_grid_charging': True, 'bel_ini_level': 0.0, 'bel_fin_level': 0.0, 'energy_price_buy': (df['DAM Price [EUR/MWh]']/1000).to_list(), 'energy_price_sell': (0.99*df['DAM Price [EUR/MWh]']/1000).to_list(), 'grid_fixed_fee': fixed_charge, 'grid_energy_import_fee': df['grid_energy_import_fee'].to_list(), 'grid_energy_export_fee': df['grid_energy_export_fee'].to_list(), 'grid_power_import_fee': df['grid_power_import_fee'].to_list(), 'grid_power_export_fee': df['grid_power_export_fee'].to_list(), 'heat_capacity_factor': 0.1, 'emission_factor_grid': list(5*np.ones(len(df))), 'heat_pump_cop': 2.5, 'month_order': df['month_order'].to_list(), 'dt': 1.0, } # Create model data structure model_data = model_invest_input(data_dict) # Create model instance with data model_instance = model_invest(model_data) # Solve solution = solve_model(model_instance, solver) # Get results results = model_invest_results(solution) #%% Scenario 4: PV/Battery/Fuel boiler sizing data_dict = { 'invest_cost_battery': 20, 'invest_cost_pv': 30, 'invest_cost_fuel_boiler': 10, 'battery_capacity_max': 5, 'pv_capacity_max': 20, 'fuel_boiler_capacity_max': 500, 'pv_lifespan': 25, 'battery_lifespan': 10, 'fuel_boiler_lifespan': 25, 'discount_rate': 0.03, 'demand': df['Electricity demand [kWh]'].to_list(), 'generation_pu': df['PV 1kWp 180Azim 40Tilt Physical [kW]'].to_list(), 'heat_demand': df['Heat demand [kWh]'].to_list(), 'battery_min_level': 0.0, 'battery_charge_max': 0.5, 'battery_discharge_max': 0.5, 'battery_efficiency_charge': 0.9, 'battery_efficiency_discharge': 0.9, 'battery_grid_charging': True, 'bel_ini_level': 0.0, 'bel_fin_level': 0.0, 'energy_price_buy': (df['DAM Price [EUR/MWh]']/1000).to_list(), 'energy_price_sell': (0.99*df['DAM Price [EUR/MWh]']/1000).to_list(), 'grid_fixed_fee': fixed_charge, 'grid_energy_import_fee': df['grid_energy_import_fee'].to_list(), 'grid_energy_export_fee': df['grid_energy_export_fee'].to_list(), 'grid_power_import_fee': df['grid_power_import_fee'].to_list(), 'grid_power_export_fee': df['grid_power_export_fee'].to_list(), 'fuel_price': list(20*np.ones(len(df))), 'heat_capacity_factor': 0.1, 'emission_factor_grid': list(5*np.ones(len(df))), 'emission_factor_fuel': list(5*np.ones(len(df))), 'fuel_boiler_efficiency': 0.9, 'month_order': df['month_order'].to_list(), 'dt': 1.0, } # Create model data structure model_data = model_invest_input(data_dict) # Create model instance with data model_instance = model_invest(model_data) # Solve solution = solve_model(model_instance, solver) # Get results results = model_invest_results(solution)

29.307432

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0.030546

0.047155

0.816342

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0.769569

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0

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0.196081

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295

127

29.40678

0.706768

0.130029

0

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0

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0

false

0

0.130952

0

0.130952

0

null

0

1

0

1

0

null

0

7

50e8fc869d2070813c85ec99d9f2414e7b705a70

3,346

py

Python

src/scml/tests/test_rescale_as_int.py

seahrh/kaggle-rig

263dbdd326f31bed92e80e08f7be65e934a3607d

[ "MIT" ]

null

src/scml/tests/test_rescale_as_int.py

seahrh/kaggle-rig

263dbdd326f31bed92e80e08f7be65e934a3607d

[ "MIT" ]

null

src/scml/tests/test_rescale_as_int.py

seahrh/kaggle-rig

263dbdd326f31bed92e80e08f7be65e934a3607d

[ "MIT" ]

null

import numpy as np import pandas as pd from scml import rescale_as_int class TestRescaleAsInt: def test_int8_rescale(self): dtype = np.int8 a = rescale_as_int( pd.Series( [0, 0.101, 0.201, 0.301, 0.401, 0.501, 0.601, 0.701, 0.801, 0.901, 1] ), dtype=dtype, ) assert list(a) == [0, 12, 25, 38, 50, 63, 76, 89, 101, 114, 127] assert a.dtype == dtype a = rescale_as_int( pd.Series([0, 10.1, 20.1, 30.1, 40.1, 50.1, 60.1, 70.1, 80.1, 90.1, 100]), dtype=dtype, ) assert list(a) == [0, 12, 25, 38, 50, 63, 76, 89, 101, 114, 127] assert a.dtype == dtype def test_int16_rescale(self): dtype = np.int16 a = rescale_as_int( pd.Series( [0, 0.101, 0.201, 0.301, 0.401, 0.501, 0.601, 0.701, 0.801, 0.901, 1] ), dtype=dtype, ) assert list(a) == [ 0, 3309, 6586, 9862, 13139, 16416, 19692, 22969, 26246, 29523, 32767, ] assert a.dtype == dtype a = rescale_as_int( pd.Series([0, 10.1, 20.1, 30.1, 40.1, 50.1, 60.1, 70.1, 80.1, 90.1, 100]), dtype=dtype, ) assert list(a) == [ 0, 3309, 6586, 9862, 13139, 16416, 19692, 22969, 26246, 29523, 32767, ] assert a.dtype == dtype def test_int32_rescale(self): dtype = np.int32 a = rescale_as_int( pd.Series( [0, 0.101, 0.201, 0.301, 0.401, 0.501, 0.601, 0.701, 0.801, 0.901, 1] ), dtype=dtype, ) assert list(a) == [ 0, 216895848, 431644213, 646392577, 861140942, 1075889307, 1290637671, 1505386036, 1720134401, 1934882765, 2147483647, ] assert a.dtype == dtype a = rescale_as_int( pd.Series([0, 10.1, 20.1, 30.1, 40.1, 50.1, 60.1, 70.1, 80.1, 90.1, 100]), dtype=dtype, ) assert list(a) == [ 0, 216895848, 431644213, 646392577, 861140942, 1075889307, 1290637671, 1505386036, 1720134401, 1934882765, 2147483647, ] assert a.dtype == dtype def test_scaling_is_bounded(self): a = rescale_as_int( pd.Series([-0.2, 1.2]), min_value=0, max_value=1, dtype=np.int8 ) assert list(a) == [0, np.iinfo(np.int8).max] a = rescale_as_int( pd.Series([-0.2, 1.2]), min_value=0, max_value=1, dtype=np.int16 ) assert list(a) == [0, np.iinfo(np.int16).max] a = rescale_as_int( pd.Series([-0.2, 1.2]), min_value=0, max_value=1, dtype=np.int32 ) assert list(a) == [0, np.iinfo(np.int32).max]

27.883333

87

0.416019

406

3,346

3.342365

0.197044

0.08843

0.08622

0.839352

0.823876

0.77745

0

0.325194

0.461447

3,346

119

88

28.117647

0.427858

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0.132743

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false

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1

0

1

0

1

0

null

0

9

50f472b2e0b9c4497f62dc100aa8895ccc17f370

2,020

py

Python

standard-training/train_model.py

kaustubhsridhar/PoE-robustness

878bd94c64534afc4fdff04ada9e12aab6ed4b28

[ "MIT" ]

null

standard-training/train_model.py

kaustubhsridhar/PoE-robustness

878bd94c64534afc4fdff04ada9e12aab6ed4b28

[ "MIT" ]

null

standard-training/train_model.py

kaustubhsridhar/PoE-robustness

878bd94c64534afc4fdff04ada9e12aab6ed4b28

[ "MIT" ]

1

2022-03-10T05:28:58.000Z

import os import argparse parser = argparse.ArgumentParser(description='Wrapper for easy evaluation of downloaded models.') parser.add_argument('--folder', default='train_checkpoints/5000_cifar10_resnet20_0.1', type=str) args = parser.parse_args() LR = float(args.folder.rsplit('_')[-1]) checkpoints_slash_B = args.folder.rsplit('_')[-4] B = int(checkpoints_slash_B.split('/')[-1]) print(LR, B) if 'cifar10_resnet20' in args.folder: cmd = 'python cifar_plus.py -a resnet --lr {} --train-batch {} --depth 20 --epochs 164 --schedule 81 122 --gamma 0.1 --wd 1e-4 --checkpoint {}'.format(LR, B, args.folder) elif 'cifar10_resnet50' in args.folder: cmd = 'python cifar_plus.py -a resnet --lr {} --train-batch {} --depth 50 --epochs 164 --schedule 81 122 --gamma 0.1 --wd 1e-4 --checkpoint {}'.format(LR, B, args.folder) elif 'cifar10_resnet110' in args.folder: cmd = 'python cifar_plus.py -a resnet --lr {} --train-batch {} --depth 110 --epochs 164 --schedule 81 122 --gamma 0.1 --wd 1e-4 --checkpoint {}'.format(LR, B, args.folder) elif 'cifar10_densenet' in args.folder: cmd = 'python cifar_plus.py -a densenet --lr {} --train-batch {} --depth 40 --growthRate 12 --epochs 300 --schedule 150 225 --wd 1e-4 --gamma 0.1 --checkpoint {}'.format(LR, B, args.folder) elif 'cifar100_resnet50' in args.folder: cmd = 'python cifar_plus.py -a resnet --dataset cifar100 --lr {} --train-batch {} --depth 50 --epochs 164 --schedule 81 122 --gamma 0.1 --wd 1e-4 --checkpoint {}'.format(LR, B, args.folder) elif 'cifar100_resnet110' in args.folder: cmd = 'python cifar_plus.py -a resnet --dataset cifar100 --lr {} --train-batch {} --depth 110 --epochs 164 --schedule 81 122 --gamma 0.1 --wd 1e-4 --checkpoint {}'.format(LR, B, args.folder) elif 'cifar100_densenet' in args.folder: cmd = 'python cifar_plus.py -a densenet --dataset cifar100 --lr {} --train-batch {} --depth 40 --growthRate 12 --epochs 300 --schedule 150 225 --wd 1e-4 --gamma 0.1 --checkpoint {}'.format(LR, B, args.folder) os.system(cmd)

72.142857

212

0.686139

314

2,020

4.33121

0.235669

0.117647

0.064706

0.077206

0.765441

0.754412

0.745588

0

0.090075

0.137129

2,020

28

213

72.142857

0.690189

0

0.291667

0.624443

0.021277

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1

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false

0

0.083333

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0

null

0

1

0

1

0

null

0

7

0fc303c9d7a2a53556ae04ff4b50654b424e5779

46,103

py

Python

sdk/python/pulumi_alicloud/cen/transit_router_peer_attachment.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

[ "ECL-2.0", "Apache-2.0" ]

42

2019-03-18T06:34:37.000Z

2022-03-24T07:08:57.000Z

sdk/python/pulumi_alicloud/cen/transit_router_peer_attachment.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

[ "ECL-2.0", "Apache-2.0" ]

152

2019-04-15T21:03:44.000Z

2022-03-29T18:00:57.000Z

sdk/python/pulumi_alicloud/cen/transit_router_peer_attachment.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

[ "ECL-2.0", "Apache-2.0" ]

3

2020-08-26T17:30:07.000Z

2021-07-05T01:37:45.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = ['TransitRouterPeerAttachmentArgs', 'TransitRouterPeerAttachment'] @pulumi.input_type class TransitRouterPeerAttachmentArgs: def __init__(__self__, *, cen_id: pulumi.Input[str], peer_transit_router_id: pulumi.Input[str], peer_transit_router_region_id: pulumi.Input[str], auto_publish_route_enabled: Optional[pulumi.Input[bool]] = None, bandwidth: Optional[pulumi.Input[int]] = None, cen_bandwidth_package_id: Optional[pulumi.Input[str]] = None, dry_run: Optional[pulumi.Input[bool]] = None, resource_type: Optional[pulumi.Input[str]] = None, route_table_association_enabled: Optional[pulumi.Input[bool]] = None, route_table_propagation_enabled: Optional[pulumi.Input[bool]] = None, transit_router_attachment_description: Optional[pulumi.Input[str]] = None, transit_router_attachment_name: Optional[pulumi.Input[str]] = None, transit_router_id: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a TransitRouterPeerAttachment resource. :param pulumi.Input[str] cen_id: The ID of the CEN. :param pulumi.Input[str] peer_transit_router_id: The ID of the peer transit router. :param pulumi.Input[str] peer_transit_router_region_id: The region ID of peer transit router. :param pulumi.Input[bool] auto_publish_route_enabled: Auto publish route enabled. The system default value is `false`. :param pulumi.Input[int] bandwidth: The bandwidth of the bandwidth package. :param pulumi.Input[str] cen_bandwidth_package_id: The ID of the bandwidth package. If you do not enter the ID of the package, it means you are using the test. The system default test is 1bps, demonstrating that you test network connectivity :param pulumi.Input[bool] dry_run: Whether to perform pre-check for this request, including permission, instance status verification, etc. :param pulumi.Input[str] resource_type: The resource type to attachment. Only support `VR` and default value is `VR`. :param pulumi.Input[bool] route_table_association_enabled: Whether to association route table. System default is `false`. :param pulumi.Input[bool] route_table_propagation_enabled: Whether to propagation route table. System default is `false`. :param pulumi.Input[str] transit_router_attachment_description: The description of transit router attachment. The description is 2~256 characters long and must start with a letter or Chinese, but cannot start with `http://` or `https://`. :param pulumi.Input[str] transit_router_attachment_name: The name of transit router attachment. The name is 2~128 characters in length, starts with uppercase and lowercase letters or Chinese, and can contain numbers, underscores (_) and dashes (-) :param pulumi.Input[str] transit_router_id: The ID of the transit router to attach. """ pulumi.set(__self__, "cen_id", cen_id) pulumi.set(__self__, "peer_transit_router_id", peer_transit_router_id) pulumi.set(__self__, "peer_transit_router_region_id", peer_transit_router_region_id) if auto_publish_route_enabled is not None: pulumi.set(__self__, "auto_publish_route_enabled", auto_publish_route_enabled) if bandwidth is not None: pulumi.set(__self__, "bandwidth", bandwidth) if cen_bandwidth_package_id is not None: pulumi.set(__self__, "cen_bandwidth_package_id", cen_bandwidth_package_id) if dry_run is not None: pulumi.set(__self__, "dry_run", dry_run) if resource_type is not None: pulumi.set(__self__, "resource_type", resource_type) if route_table_association_enabled is not None: pulumi.set(__self__, "route_table_association_enabled", route_table_association_enabled) if route_table_propagation_enabled is not None: pulumi.set(__self__, "route_table_propagation_enabled", route_table_propagation_enabled) if transit_router_attachment_description is not None: pulumi.set(__self__, "transit_router_attachment_description", transit_router_attachment_description) if transit_router_attachment_name is not None: pulumi.set(__self__, "transit_router_attachment_name", transit_router_attachment_name) if transit_router_id is not None: pulumi.set(__self__, "transit_router_id", transit_router_id) @property @pulumi.getter(name="cenId") def cen_id(self) -> pulumi.Input[str]: """ The ID of the CEN. """ return pulumi.get(self, "cen_id") @cen_id.setter def cen_id(self, value: pulumi.Input[str]): pulumi.set(self, "cen_id", value) @property @pulumi.getter(name="peerTransitRouterId") def peer_transit_router_id(self) -> pulumi.Input[str]: """ The ID of the peer transit router. """ return pulumi.get(self, "peer_transit_router_id") @peer_transit_router_id.setter def peer_transit_router_id(self, value: pulumi.Input[str]): pulumi.set(self, "peer_transit_router_id", value) @property @pulumi.getter(name="peerTransitRouterRegionId") def peer_transit_router_region_id(self) -> pulumi.Input[str]: """ The region ID of peer transit router. """ return pulumi.get(self, "peer_transit_router_region_id") @peer_transit_router_region_id.setter def peer_transit_router_region_id(self, value: pulumi.Input[str]): pulumi.set(self, "peer_transit_router_region_id", value) @property @pulumi.getter(name="autoPublishRouteEnabled") def auto_publish_route_enabled(self) -> Optional[pulumi.Input[bool]]: """ Auto publish route enabled. The system default value is `false`. """ return pulumi.get(self, "auto_publish_route_enabled") @auto_publish_route_enabled.setter def auto_publish_route_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "auto_publish_route_enabled", value) @property @pulumi.getter def bandwidth(self) -> Optional[pulumi.Input[int]]: """ The bandwidth of the bandwidth package. """ return pulumi.get(self, "bandwidth") @bandwidth.setter def bandwidth(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "bandwidth", value) @property @pulumi.getter(name="cenBandwidthPackageId") def cen_bandwidth_package_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the bandwidth package. If you do not enter the ID of the package, it means you are using the test. The system default test is 1bps, demonstrating that you test network connectivity """ return pulumi.get(self, "cen_bandwidth_package_id") @cen_bandwidth_package_id.setter def cen_bandwidth_package_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "cen_bandwidth_package_id", value) @property @pulumi.getter(name="dryRun") def dry_run(self) -> Optional[pulumi.Input[bool]]: """ Whether to perform pre-check for this request, including permission, instance status verification, etc. """ return pulumi.get(self, "dry_run") @dry_run.setter def dry_run(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "dry_run", value) @property @pulumi.getter(name="resourceType") def resource_type(self) -> Optional[pulumi.Input[str]]: """ The resource type to attachment. Only support `VR` and default value is `VR`. """ return pulumi.get(self, "resource_type") @resource_type.setter def resource_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_type", value) @property @pulumi.getter(name="routeTableAssociationEnabled") def route_table_association_enabled(self) -> Optional[pulumi.Input[bool]]: """ Whether to association route table. System default is `false`. """ return pulumi.get(self, "route_table_association_enabled") @route_table_association_enabled.setter def route_table_association_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "route_table_association_enabled", value) @property @pulumi.getter(name="routeTablePropagationEnabled") def route_table_propagation_enabled(self) -> Optional[pulumi.Input[bool]]: """ Whether to propagation route table. System default is `false`. """ return pulumi.get(self, "route_table_propagation_enabled") @route_table_propagation_enabled.setter def route_table_propagation_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "route_table_propagation_enabled", value) @property @pulumi.getter(name="transitRouterAttachmentDescription") def transit_router_attachment_description(self) -> Optional[pulumi.Input[str]]: """ The description of transit router attachment. The description is 2~256 characters long and must start with a letter or Chinese, but cannot start with `http://` or `https://`. """ return pulumi.get(self, "transit_router_attachment_description") @transit_router_attachment_description.setter def transit_router_attachment_description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "transit_router_attachment_description", value) @property @pulumi.getter(name="transitRouterAttachmentName") def transit_router_attachment_name(self) -> Optional[pulumi.Input[str]]: """ The name of transit router attachment. The name is 2~128 characters in length, starts with uppercase and lowercase letters or Chinese, and can contain numbers, underscores (_) and dashes (-) """ return pulumi.get(self, "transit_router_attachment_name") @transit_router_attachment_name.setter def transit_router_attachment_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "transit_router_attachment_name", value) @property @pulumi.getter(name="transitRouterId") def transit_router_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the transit router to attach. """ return pulumi.get(self, "transit_router_id") @transit_router_id.setter def transit_router_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "transit_router_id", value) @pulumi.input_type class _TransitRouterPeerAttachmentState: def __init__(__self__, *, auto_publish_route_enabled: Optional[pulumi.Input[bool]] = None, bandwidth: Optional[pulumi.Input[int]] = None, cen_bandwidth_package_id: Optional[pulumi.Input[str]] = None, cen_id: Optional[pulumi.Input[str]] = None, dry_run: Optional[pulumi.Input[bool]] = None, peer_transit_router_id: Optional[pulumi.Input[str]] = None, peer_transit_router_region_id: Optional[pulumi.Input[str]] = None, resource_type: Optional[pulumi.Input[str]] = None, route_table_association_enabled: Optional[pulumi.Input[bool]] = None, route_table_propagation_enabled: Optional[pulumi.Input[bool]] = None, status: Optional[pulumi.Input[str]] = None, transit_router_attachment_description: Optional[pulumi.Input[str]] = None, transit_router_attachment_id: Optional[pulumi.Input[str]] = None, transit_router_attachment_name: Optional[pulumi.Input[str]] = None, transit_router_id: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering TransitRouterPeerAttachment resources. :param pulumi.Input[bool] auto_publish_route_enabled: Auto publish route enabled. The system default value is `false`. :param pulumi.Input[int] bandwidth: The bandwidth of the bandwidth package. :param pulumi.Input[str] cen_bandwidth_package_id: The ID of the bandwidth package. If you do not enter the ID of the package, it means you are using the test. The system default test is 1bps, demonstrating that you test network connectivity :param pulumi.Input[str] cen_id: The ID of the CEN. :param pulumi.Input[bool] dry_run: Whether to perform pre-check for this request, including permission, instance status verification, etc. :param pulumi.Input[str] peer_transit_router_id: The ID of the peer transit router. :param pulumi.Input[str] peer_transit_router_region_id: The region ID of peer transit router. :param pulumi.Input[str] resource_type: The resource type to attachment. Only support `VR` and default value is `VR`. :param pulumi.Input[bool] route_table_association_enabled: Whether to association route table. System default is `false`. :param pulumi.Input[bool] route_table_propagation_enabled: Whether to propagation route table. System default is `false`. :param pulumi.Input[str] status: The associating status of the network. :param pulumi.Input[str] transit_router_attachment_description: The description of transit router attachment. The description is 2~256 characters long and must start with a letter or Chinese, but cannot start with `http://` or `https://`. :param pulumi.Input[str] transit_router_attachment_id: The ID of transit router attachment id. :param pulumi.Input[str] transit_router_attachment_name: The name of transit router attachment. The name is 2~128 characters in length, starts with uppercase and lowercase letters or Chinese, and can contain numbers, underscores (_) and dashes (-) :param pulumi.Input[str] transit_router_id: The ID of the transit router to attach. """ if auto_publish_route_enabled is not None: pulumi.set(__self__, "auto_publish_route_enabled", auto_publish_route_enabled) if bandwidth is not None: pulumi.set(__self__, "bandwidth", bandwidth) if cen_bandwidth_package_id is not None: pulumi.set(__self__, "cen_bandwidth_package_id", cen_bandwidth_package_id) if cen_id is not None: pulumi.set(__self__, "cen_id", cen_id) if dry_run is not None: pulumi.set(__self__, "dry_run", dry_run) if peer_transit_router_id is not None: pulumi.set(__self__, "peer_transit_router_id", peer_transit_router_id) if peer_transit_router_region_id is not None: pulumi.set(__self__, "peer_transit_router_region_id", peer_transit_router_region_id) if resource_type is not None: pulumi.set(__self__, "resource_type", resource_type) if route_table_association_enabled is not None: pulumi.set(__self__, "route_table_association_enabled", route_table_association_enabled) if route_table_propagation_enabled is not None: pulumi.set(__self__, "route_table_propagation_enabled", route_table_propagation_enabled) if status is not None: pulumi.set(__self__, "status", status) if transit_router_attachment_description is not None: pulumi.set(__self__, "transit_router_attachment_description", transit_router_attachment_description) if transit_router_attachment_id is not None: pulumi.set(__self__, "transit_router_attachment_id", transit_router_attachment_id) if transit_router_attachment_name is not None: pulumi.set(__self__, "transit_router_attachment_name", transit_router_attachment_name) if transit_router_id is not None: pulumi.set(__self__, "transit_router_id", transit_router_id) @property @pulumi.getter(name="autoPublishRouteEnabled") def auto_publish_route_enabled(self) -> Optional[pulumi.Input[bool]]: """ Auto publish route enabled. The system default value is `false`. """ return pulumi.get(self, "auto_publish_route_enabled") @auto_publish_route_enabled.setter def auto_publish_route_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "auto_publish_route_enabled", value) @property @pulumi.getter def bandwidth(self) -> Optional[pulumi.Input[int]]: """ The bandwidth of the bandwidth package. """ return pulumi.get(self, "bandwidth") @bandwidth.setter def bandwidth(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "bandwidth", value) @property @pulumi.getter(name="cenBandwidthPackageId") def cen_bandwidth_package_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the bandwidth package. If you do not enter the ID of the package, it means you are using the test. The system default test is 1bps, demonstrating that you test network connectivity """ return pulumi.get(self, "cen_bandwidth_package_id") @cen_bandwidth_package_id.setter def cen_bandwidth_package_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "cen_bandwidth_package_id", value) @property @pulumi.getter(name="cenId") def cen_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the CEN. """ return pulumi.get(self, "cen_id") @cen_id.setter def cen_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "cen_id", value) @property @pulumi.getter(name="dryRun") def dry_run(self) -> Optional[pulumi.Input[bool]]: """ Whether to perform pre-check for this request, including permission, instance status verification, etc. """ return pulumi.get(self, "dry_run") @dry_run.setter def dry_run(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "dry_run", value) @property @pulumi.getter(name="peerTransitRouterId") def peer_transit_router_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the peer transit router. """ return pulumi.get(self, "peer_transit_router_id") @peer_transit_router_id.setter def peer_transit_router_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "peer_transit_router_id", value) @property @pulumi.getter(name="peerTransitRouterRegionId") def peer_transit_router_region_id(self) -> Optional[pulumi.Input[str]]: """ The region ID of peer transit router. """ return pulumi.get(self, "peer_transit_router_region_id") @peer_transit_router_region_id.setter def peer_transit_router_region_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "peer_transit_router_region_id", value) @property @pulumi.getter(name="resourceType") def resource_type(self) -> Optional[pulumi.Input[str]]: """ The resource type to attachment. Only support `VR` and default value is `VR`. """ return pulumi.get(self, "resource_type") @resource_type.setter def resource_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_type", value) @property @pulumi.getter(name="routeTableAssociationEnabled") def route_table_association_enabled(self) -> Optional[pulumi.Input[bool]]: """ Whether to association route table. System default is `false`. """ return pulumi.get(self, "route_table_association_enabled") @route_table_association_enabled.setter def route_table_association_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "route_table_association_enabled", value) @property @pulumi.getter(name="routeTablePropagationEnabled") def route_table_propagation_enabled(self) -> Optional[pulumi.Input[bool]]: """ Whether to propagation route table. System default is `false`. """ return pulumi.get(self, "route_table_propagation_enabled") @route_table_propagation_enabled.setter def route_table_propagation_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "route_table_propagation_enabled", value) @property @pulumi.getter def status(self) -> Optional[pulumi.Input[str]]: """ The associating status of the network. """ return pulumi.get(self, "status") @status.setter def status(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "status", value) @property @pulumi.getter(name="transitRouterAttachmentDescription") def transit_router_attachment_description(self) -> Optional[pulumi.Input[str]]: """ The description of transit router attachment. The description is 2~256 characters long and must start with a letter or Chinese, but cannot start with `http://` or `https://`. """ return pulumi.get(self, "transit_router_attachment_description") @transit_router_attachment_description.setter def transit_router_attachment_description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "transit_router_attachment_description", value) @property @pulumi.getter(name="transitRouterAttachmentId") def transit_router_attachment_id(self) -> Optional[pulumi.Input[str]]: """ The ID of transit router attachment id. """ return pulumi.get(self, "transit_router_attachment_id") @transit_router_attachment_id.setter def transit_router_attachment_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "transit_router_attachment_id", value) @property @pulumi.getter(name="transitRouterAttachmentName") def transit_router_attachment_name(self) -> Optional[pulumi.Input[str]]: """ The name of transit router attachment. The name is 2~128 characters in length, starts with uppercase and lowercase letters or Chinese, and can contain numbers, underscores (_) and dashes (-) """ return pulumi.get(self, "transit_router_attachment_name") @transit_router_attachment_name.setter def transit_router_attachment_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "transit_router_attachment_name", value) @property @pulumi.getter(name="transitRouterId") def transit_router_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the transit router to attach. """ return pulumi.get(self, "transit_router_id") @transit_router_id.setter def transit_router_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "transit_router_id", value) class TransitRouterPeerAttachment(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, auto_publish_route_enabled: Optional[pulumi.Input[bool]] = None, bandwidth: Optional[pulumi.Input[int]] = None, cen_bandwidth_package_id: Optional[pulumi.Input[str]] = None, cen_id: Optional[pulumi.Input[str]] = None, dry_run: Optional[pulumi.Input[bool]] = None, peer_transit_router_id: Optional[pulumi.Input[str]] = None, peer_transit_router_region_id: Optional[pulumi.Input[str]] = None, resource_type: Optional[pulumi.Input[str]] = None, route_table_association_enabled: Optional[pulumi.Input[bool]] = None, route_table_propagation_enabled: Optional[pulumi.Input[bool]] = None, transit_router_attachment_description: Optional[pulumi.Input[str]] = None, transit_router_attachment_name: Optional[pulumi.Input[str]] = None, transit_router_id: Optional[pulumi.Input[str]] = None, __props__=None): """ Provides a CEN transit router peer attachment resource that associate the transit router with the CEN instance. [What is CEN transit router peer attachment](https://help.aliyun.com/document_detail/261363.html) > **NOTE:** Available in 1.128.0+ ## Example Usage Basic Usage ```python import pulumi import pulumi_alicloud as alicloud import pulumi_pulumi as pulumi config = pulumi.Config() name = config.get("name") if name is None: name = "tf-testAcccExample" us = pulumi.providers.Alicloud("us", region="us-east-1") cn = pulumi.providers.Alicloud("cn", region="cn-hangzhou") default_instance = alicloud.cen.Instance("defaultInstance", cen_instance_name=name, protection_level="REDUCED", opts=pulumi.ResourceOptions(provider=alicloud["cn"])) default_bandwidth_package = alicloud.cen.BandwidthPackage("defaultBandwidthPackage", bandwidth=5, cen_bandwidth_package_name=name, geographic_region_a_id="China", geographic_region_b_id="North-America") default_bandwidth_package_attachment = alicloud.cen.BandwidthPackageAttachment("defaultBandwidthPackageAttachment", instance_id=default_instance.id, bandwidth_package_id=default_bandwidth_package.id, opts=pulumi.ResourceOptions(provider=alicloud["cn"])) cn_transit_router = alicloud.cen.TransitRouter("cnTransitRouter", cen_id=default_instance.id, opts=pulumi.ResourceOptions(provider=alicloud["cn"], depends_on=[default_bandwidth_package_attachment])) us_transit_router = alicloud.cen.TransitRouter("usTransitRouter", cen_id=default_instance.id, opts=pulumi.ResourceOptions(provider=alicloud["us"], depends_on=[alicloud_cen_transit_router["default_0"]])) default_transit_router_peer_attachment = alicloud.cen.TransitRouterPeerAttachment("defaultTransitRouterPeerAttachment", cen_id=default_instance.id, transit_router_id=cn_transit_router.transit_router_id, peer_transit_router_region_id="us-east-1", peer_transit_router_id=us_transit_router.transit_router_id, cen_bandwidth_package_id=default_bandwidth_package_attachment.bandwidth_package_id, bandwidth=5, transit_router_attachment_description=name, transit_router_attachment_name=name, opts=pulumi.ResourceOptions(provider=alicloud["cn"])) ``` ## Import CEN instance can be imported using the id, e.g. ```sh $ pulumi import alicloud:cen/transitRouterPeerAttachment:TransitRouterPeerAttachment example tr-********:tr-attach-******* ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[bool] auto_publish_route_enabled: Auto publish route enabled. The system default value is `false`. :param pulumi.Input[int] bandwidth: The bandwidth of the bandwidth package. :param pulumi.Input[str] cen_bandwidth_package_id: The ID of the bandwidth package. If you do not enter the ID of the package, it means you are using the test. The system default test is 1bps, demonstrating that you test network connectivity :param pulumi.Input[str] cen_id: The ID of the CEN. :param pulumi.Input[bool] dry_run: Whether to perform pre-check for this request, including permission, instance status verification, etc. :param pulumi.Input[str] peer_transit_router_id: The ID of the peer transit router. :param pulumi.Input[str] peer_transit_router_region_id: The region ID of peer transit router. :param pulumi.Input[str] resource_type: The resource type to attachment. Only support `VR` and default value is `VR`. :param pulumi.Input[bool] route_table_association_enabled: Whether to association route table. System default is `false`. :param pulumi.Input[bool] route_table_propagation_enabled: Whether to propagation route table. System default is `false`. :param pulumi.Input[str] transit_router_attachment_description: The description of transit router attachment. The description is 2~256 characters long and must start with a letter or Chinese, but cannot start with `http://` or `https://`. :param pulumi.Input[str] transit_router_attachment_name: The name of transit router attachment. The name is 2~128 characters in length, starts with uppercase and lowercase letters or Chinese, and can contain numbers, underscores (_) and dashes (-) :param pulumi.Input[str] transit_router_id: The ID of the transit router to attach. """ ... @overload def __init__(__self__, resource_name: str, args: TransitRouterPeerAttachmentArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Provides a CEN transit router peer attachment resource that associate the transit router with the CEN instance. [What is CEN transit router peer attachment](https://help.aliyun.com/document_detail/261363.html) > **NOTE:** Available in 1.128.0+ ## Example Usage Basic Usage ```python import pulumi import pulumi_alicloud as alicloud import pulumi_pulumi as pulumi config = pulumi.Config() name = config.get("name") if name is None: name = "tf-testAcccExample" us = pulumi.providers.Alicloud("us", region="us-east-1") cn = pulumi.providers.Alicloud("cn", region="cn-hangzhou") default_instance = alicloud.cen.Instance("defaultInstance", cen_instance_name=name, protection_level="REDUCED", opts=pulumi.ResourceOptions(provider=alicloud["cn"])) default_bandwidth_package = alicloud.cen.BandwidthPackage("defaultBandwidthPackage", bandwidth=5, cen_bandwidth_package_name=name, geographic_region_a_id="China", geographic_region_b_id="North-America") default_bandwidth_package_attachment = alicloud.cen.BandwidthPackageAttachment("defaultBandwidthPackageAttachment", instance_id=default_instance.id, bandwidth_package_id=default_bandwidth_package.id, opts=pulumi.ResourceOptions(provider=alicloud["cn"])) cn_transit_router = alicloud.cen.TransitRouter("cnTransitRouter", cen_id=default_instance.id, opts=pulumi.ResourceOptions(provider=alicloud["cn"], depends_on=[default_bandwidth_package_attachment])) us_transit_router = alicloud.cen.TransitRouter("usTransitRouter", cen_id=default_instance.id, opts=pulumi.ResourceOptions(provider=alicloud["us"], depends_on=[alicloud_cen_transit_router["default_0"]])) default_transit_router_peer_attachment = alicloud.cen.TransitRouterPeerAttachment("defaultTransitRouterPeerAttachment", cen_id=default_instance.id, transit_router_id=cn_transit_router.transit_router_id, peer_transit_router_region_id="us-east-1", peer_transit_router_id=us_transit_router.transit_router_id, cen_bandwidth_package_id=default_bandwidth_package_attachment.bandwidth_package_id, bandwidth=5, transit_router_attachment_description=name, transit_router_attachment_name=name, opts=pulumi.ResourceOptions(provider=alicloud["cn"])) ``` ## Import CEN instance can be imported using the id, e.g. ```sh $ pulumi import alicloud:cen/transitRouterPeerAttachment:TransitRouterPeerAttachment example tr-********:tr-attach-******* ``` :param str resource_name: The name of the resource. :param TransitRouterPeerAttachmentArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(TransitRouterPeerAttachmentArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, auto_publish_route_enabled: Optional[pulumi.Input[bool]] = None, bandwidth: Optional[pulumi.Input[int]] = None, cen_bandwidth_package_id: Optional[pulumi.Input[str]] = None, cen_id: Optional[pulumi.Input[str]] = None, dry_run: Optional[pulumi.Input[bool]] = None, peer_transit_router_id: Optional[pulumi.Input[str]] = None, peer_transit_router_region_id: Optional[pulumi.Input[str]] = None, resource_type: Optional[pulumi.Input[str]] = None, route_table_association_enabled: Optional[pulumi.Input[bool]] = None, route_table_propagation_enabled: Optional[pulumi.Input[bool]] = None, transit_router_attachment_description: Optional[pulumi.Input[str]] = None, transit_router_attachment_name: Optional[pulumi.Input[str]] = None, transit_router_id: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = TransitRouterPeerAttachmentArgs.__new__(TransitRouterPeerAttachmentArgs) __props__.__dict__["auto_publish_route_enabled"] = auto_publish_route_enabled __props__.__dict__["bandwidth"] = bandwidth __props__.__dict__["cen_bandwidth_package_id"] = cen_bandwidth_package_id if cen_id is None and not opts.urn: raise TypeError("Missing required property 'cen_id'") __props__.__dict__["cen_id"] = cen_id __props__.__dict__["dry_run"] = dry_run if peer_transit_router_id is None and not opts.urn: raise TypeError("Missing required property 'peer_transit_router_id'") __props__.__dict__["peer_transit_router_id"] = peer_transit_router_id if peer_transit_router_region_id is None and not opts.urn: raise TypeError("Missing required property 'peer_transit_router_region_id'") __props__.__dict__["peer_transit_router_region_id"] = peer_transit_router_region_id __props__.__dict__["resource_type"] = resource_type __props__.__dict__["route_table_association_enabled"] = route_table_association_enabled __props__.__dict__["route_table_propagation_enabled"] = route_table_propagation_enabled __props__.__dict__["transit_router_attachment_description"] = transit_router_attachment_description __props__.__dict__["transit_router_attachment_name"] = transit_router_attachment_name __props__.__dict__["transit_router_id"] = transit_router_id __props__.__dict__["status"] = None __props__.__dict__["transit_router_attachment_id"] = None super(TransitRouterPeerAttachment, __self__).__init__( 'alicloud:cen/transitRouterPeerAttachment:TransitRouterPeerAttachment', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, auto_publish_route_enabled: Optional[pulumi.Input[bool]] = None, bandwidth: Optional[pulumi.Input[int]] = None, cen_bandwidth_package_id: Optional[pulumi.Input[str]] = None, cen_id: Optional[pulumi.Input[str]] = None, dry_run: Optional[pulumi.Input[bool]] = None, peer_transit_router_id: Optional[pulumi.Input[str]] = None, peer_transit_router_region_id: Optional[pulumi.Input[str]] = None, resource_type: Optional[pulumi.Input[str]] = None, route_table_association_enabled: Optional[pulumi.Input[bool]] = None, route_table_propagation_enabled: Optional[pulumi.Input[bool]] = None, status: Optional[pulumi.Input[str]] = None, transit_router_attachment_description: Optional[pulumi.Input[str]] = None, transit_router_attachment_id: Optional[pulumi.Input[str]] = None, transit_router_attachment_name: Optional[pulumi.Input[str]] = None, transit_router_id: Optional[pulumi.Input[str]] = None) -> 'TransitRouterPeerAttachment': """ Get an existing TransitRouterPeerAttachment resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[bool] auto_publish_route_enabled: Auto publish route enabled. The system default value is `false`. :param pulumi.Input[int] bandwidth: The bandwidth of the bandwidth package. :param pulumi.Input[str] cen_bandwidth_package_id: The ID of the bandwidth package. If you do not enter the ID of the package, it means you are using the test. The system default test is 1bps, demonstrating that you test network connectivity :param pulumi.Input[str] cen_id: The ID of the CEN. :param pulumi.Input[bool] dry_run: Whether to perform pre-check for this request, including permission, instance status verification, etc. :param pulumi.Input[str] peer_transit_router_id: The ID of the peer transit router. :param pulumi.Input[str] peer_transit_router_region_id: The region ID of peer transit router. :param pulumi.Input[str] resource_type: The resource type to attachment. Only support `VR` and default value is `VR`. :param pulumi.Input[bool] route_table_association_enabled: Whether to association route table. System default is `false`. :param pulumi.Input[bool] route_table_propagation_enabled: Whether to propagation route table. System default is `false`. :param pulumi.Input[str] status: The associating status of the network. :param pulumi.Input[str] transit_router_attachment_description: The description of transit router attachment. The description is 2~256 characters long and must start with a letter or Chinese, but cannot start with `http://` or `https://`. :param pulumi.Input[str] transit_router_attachment_id: The ID of transit router attachment id. :param pulumi.Input[str] transit_router_attachment_name: The name of transit router attachment. The name is 2~128 characters in length, starts with uppercase and lowercase letters or Chinese, and can contain numbers, underscores (_) and dashes (-) :param pulumi.Input[str] transit_router_id: The ID of the transit router to attach. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _TransitRouterPeerAttachmentState.__new__(_TransitRouterPeerAttachmentState) __props__.__dict__["auto_publish_route_enabled"] = auto_publish_route_enabled __props__.__dict__["bandwidth"] = bandwidth __props__.__dict__["cen_bandwidth_package_id"] = cen_bandwidth_package_id __props__.__dict__["cen_id"] = cen_id __props__.__dict__["dry_run"] = dry_run __props__.__dict__["peer_transit_router_id"] = peer_transit_router_id __props__.__dict__["peer_transit_router_region_id"] = peer_transit_router_region_id __props__.__dict__["resource_type"] = resource_type __props__.__dict__["route_table_association_enabled"] = route_table_association_enabled __props__.__dict__["route_table_propagation_enabled"] = route_table_propagation_enabled __props__.__dict__["status"] = status __props__.__dict__["transit_router_attachment_description"] = transit_router_attachment_description __props__.__dict__["transit_router_attachment_id"] = transit_router_attachment_id __props__.__dict__["transit_router_attachment_name"] = transit_router_attachment_name __props__.__dict__["transit_router_id"] = transit_router_id return TransitRouterPeerAttachment(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="autoPublishRouteEnabled") def auto_publish_route_enabled(self) -> pulumi.Output[Optional[bool]]: """ Auto publish route enabled. The system default value is `false`. """ return pulumi.get(self, "auto_publish_route_enabled") @property @pulumi.getter def bandwidth(self) -> pulumi.Output[Optional[int]]: """ The bandwidth of the bandwidth package. """ return pulumi.get(self, "bandwidth") @property @pulumi.getter(name="cenBandwidthPackageId") def cen_bandwidth_package_id(self) -> pulumi.Output[Optional[str]]: """ The ID of the bandwidth package. If you do not enter the ID of the package, it means you are using the test. The system default test is 1bps, demonstrating that you test network connectivity """ return pulumi.get(self, "cen_bandwidth_package_id") @property @pulumi.getter(name="cenId") def cen_id(self) -> pulumi.Output[str]: """ The ID of the CEN. """ return pulumi.get(self, "cen_id") @property @pulumi.getter(name="dryRun") def dry_run(self) -> pulumi.Output[Optional[bool]]: """ Whether to perform pre-check for this request, including permission, instance status verification, etc. """ return pulumi.get(self, "dry_run") @property @pulumi.getter(name="peerTransitRouterId") def peer_transit_router_id(self) -> pulumi.Output[str]: """ The ID of the peer transit router. """ return pulumi.get(self, "peer_transit_router_id") @property @pulumi.getter(name="peerTransitRouterRegionId") def peer_transit_router_region_id(self) -> pulumi.Output[str]: """ The region ID of peer transit router. """ return pulumi.get(self, "peer_transit_router_region_id") @property @pulumi.getter(name="resourceType") def resource_type(self) -> pulumi.Output[Optional[str]]: """ The resource type to attachment. Only support `VR` and default value is `VR`. """ return pulumi.get(self, "resource_type") @property @pulumi.getter(name="routeTableAssociationEnabled") def route_table_association_enabled(self) -> pulumi.Output[Optional[bool]]: """ Whether to association route table. System default is `false`. """ return pulumi.get(self, "route_table_association_enabled") @property @pulumi.getter(name="routeTablePropagationEnabled") def route_table_propagation_enabled(self) -> pulumi.Output[Optional[bool]]: """ Whether to propagation route table. System default is `false`. """ return pulumi.get(self, "route_table_propagation_enabled") @property @pulumi.getter def status(self) -> pulumi.Output[str]: """ The associating status of the network. """ return pulumi.get(self, "status") @property @pulumi.getter(name="transitRouterAttachmentDescription") def transit_router_attachment_description(self) -> pulumi.Output[Optional[str]]: """ The description of transit router attachment. The description is 2~256 characters long and must start with a letter or Chinese, but cannot start with `http://` or `https://`. """ return pulumi.get(self, "transit_router_attachment_description") @property @pulumi.getter(name="transitRouterAttachmentId") def transit_router_attachment_id(self) -> pulumi.Output[str]: """ The ID of transit router attachment id. """ return pulumi.get(self, "transit_router_attachment_id") @property @pulumi.getter(name="transitRouterAttachmentName") def transit_router_attachment_name(self) -> pulumi.Output[Optional[str]]: """ The name of transit router attachment. The name is 2~128 characters in length, starts with uppercase and lowercase letters or Chinese, and can contain numbers, underscores (_) and dashes (-) """ return pulumi.get(self, "transit_router_attachment_name") @property @pulumi.getter(name="transitRouterId") def transit_router_id(self) -> pulumi.Output[Optional[str]]: """ The ID of the transit router to attach. """ return pulumi.get(self, "transit_router_id")

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features/admin/user_admin.py

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countess/tests/test_selection_basic_lib_noncoding.py

VariantEffect/Enrich2-py3

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countess/tests/test_selection_basic_lib_noncoding.py

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countess/tests/test_selection_basic_lib_noncoding.py

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1

2022-02-20T00:35:24.000Z

import unittest from copy import deepcopy from ..selection.selection import Selection from .methods import HDF5TestComponent from .utilities import DEFAULT_STORE_PARAMS from .utilities import load_config_data, update_cfg_file CFG_FILE = "basic_selection_noncoding.json" CFG_DIR = "data/config/selection/" READS_DIR = "data/reads/selection/" RESULT_DIR = "data/result/selection/" DRIVER = "runTest" LIBTYPE = "basic" CODING_STR = "n" FILE_EXT = "tsv" FILE_SEP = "\t" class TestSelectionBasicLibWLSScoringCompleteNormN(unittest.TestCase): def setUp(self): scoring = "WLS" logr = "complete" cfg = load_config_data(CFG_FILE, CFG_DIR) cfg = update_cfg_file(cfg, scoring, logr) params = deepcopy(DEFAULT_STORE_PARAMS) self.general_test_component = HDF5TestComponent( store_constructor=Selection, cfg=cfg, result_dir=RESULT_DIR, file_ext=FILE_EXT, file_sep=FILE_SEP, save=False, params=params, verbose=False, libtype=LIBTYPE, scoring_method=scoring, logr_method=logr, coding="noncoding", ) self.general_test_component.setUp() def tearDown(self): self.general_test_component.tearDown() def test_all_hdf5_dataframes(self): self.general_test_component.runTest() class TestSelectionBasicLibWLSScoringFullNormN(unittest.TestCase): def setUp(self): scoring = "WLS" logr = "full" cfg = load_config_data(CFG_FILE, CFG_DIR) cfg = update_cfg_file(cfg, scoring, logr) params = deepcopy(DEFAULT_STORE_PARAMS) self.general_test_component = HDF5TestComponent( store_constructor=Selection, cfg=cfg, result_dir=RESULT_DIR, file_ext=FILE_EXT, file_sep=FILE_SEP, save=False, params=params, verbose=False, libtype=LIBTYPE, scoring_method=scoring, logr_method=logr, coding="noncoding", ) self.general_test_component.setUp() def tearDown(self): self.general_test_component.tearDown() def test_all_hdf5_dataframes(self): self.general_test_component.runTest() class TestSelectionBasicLibWLSScoringWTNormN(unittest.TestCase): def setUp(self): scoring = "WLS" logr = "wt" cfg = load_config_data(CFG_FILE, CFG_DIR) cfg = update_cfg_file(cfg, scoring, logr) params = deepcopy(DEFAULT_STORE_PARAMS) self.general_test_component = HDF5TestComponent( store_constructor=Selection, cfg=cfg, result_dir=RESULT_DIR, file_ext=FILE_EXT, file_sep=FILE_SEP, save=False, params=params, verbose=False, libtype=LIBTYPE, scoring_method=scoring, logr_method=logr, coding="noncoding", ) self.general_test_component.setUp() def tearDown(self): self.general_test_component.tearDown() def test_all_hdf5_dataframes(self): self.general_test_component.runTest() class TestSelectionBasicLibOLSScoringCompleteNormN(unittest.TestCase): def setUp(self): scoring = "OLS" logr = "complete" cfg = load_config_data(CFG_FILE, CFG_DIR) cfg = update_cfg_file(cfg, scoring, logr) params = deepcopy(DEFAULT_STORE_PARAMS) self.general_test_component = HDF5TestComponent( store_constructor=Selection, cfg=cfg, result_dir=RESULT_DIR, file_ext=FILE_EXT, file_sep=FILE_SEP, save=False, params=params, verbose=False, libtype=LIBTYPE, scoring_method=scoring, logr_method=logr, coding="noncoding", ) self.general_test_component.setUp() def tearDown(self): self.general_test_component.tearDown() def test_all_hdf5_dataframes(self): self.general_test_component.runTest() class TestSelectionBasicLibOLSScoringFullNormN(unittest.TestCase): def setUp(self): scoring = "OLS" logr = "full" cfg = load_config_data(CFG_FILE, CFG_DIR) cfg = update_cfg_file(cfg, scoring, logr) params = deepcopy(DEFAULT_STORE_PARAMS) self.general_test_component = HDF5TestComponent( store_constructor=Selection, cfg=cfg, result_dir=RESULT_DIR, file_ext=FILE_EXT, file_sep=FILE_SEP, save=False, params=params, verbose=False, libtype=LIBTYPE, scoring_method=scoring, logr_method=logr, coding="noncoding", ) self.general_test_component.setUp() def tearDown(self): self.general_test_component.tearDown() def test_all_hdf5_dataframes(self): self.general_test_component.runTest() class TestSelectionBasicLibOLSScoringWTNormN(unittest.TestCase): def setUp(self): scoring = "OLS" logr = "wt" cfg = load_config_data(CFG_FILE, CFG_DIR) cfg = update_cfg_file(cfg, scoring, logr) params = deepcopy(DEFAULT_STORE_PARAMS) self.general_test_component = HDF5TestComponent( store_constructor=Selection, cfg=cfg, result_dir=RESULT_DIR, file_ext=FILE_EXT, file_sep=FILE_SEP, save=False, params=params, verbose=False, libtype=LIBTYPE, scoring_method=scoring, logr_method=logr, coding="noncoding", ) self.general_test_component.setUp() def tearDown(self): self.general_test_component.tearDown() def test_all_hdf5_dataframes(self): self.general_test_component.runTest() class TestSelectionBasicLibRatiosScoringCompleteNormN(unittest.TestCase): def setUp(self): scoring = "ratios" logr = "complete" cfg = load_config_data(CFG_FILE, CFG_DIR) cfg = update_cfg_file(cfg, scoring, logr) params = deepcopy(DEFAULT_STORE_PARAMS) self.general_test_component = HDF5TestComponent( store_constructor=Selection, cfg=cfg, result_dir=RESULT_DIR, file_ext=FILE_EXT, file_sep=FILE_SEP, save=False, params=params, verbose=False, libtype=LIBTYPE, scoring_method=scoring, logr_method=logr, coding="noncoding", ) self.general_test_component.setUp() def tearDown(self): self.general_test_component.tearDown() def test_all_hdf5_dataframes(self): self.general_test_component.runTest() class TestSelectionBasicLibRatiosScoringFullNormN(unittest.TestCase): def setUp(self): scoring = "ratios" logr = "full" cfg = load_config_data(CFG_FILE, CFG_DIR) cfg = update_cfg_file(cfg, scoring, logr) params = deepcopy(DEFAULT_STORE_PARAMS) self.general_test_component = HDF5TestComponent( store_constructor=Selection, cfg=cfg, result_dir=RESULT_DIR, file_ext=FILE_EXT, file_sep=FILE_SEP, save=False, params=params, verbose=False, libtype=LIBTYPE, scoring_method=scoring, logr_method=logr, coding="noncoding", ) self.general_test_component.setUp() def tearDown(self): self.general_test_component.tearDown() def test_all_hdf5_dataframes(self): self.general_test_component.runTest() class TestSelectionBasicLibRatiosScoringWTNormN(unittest.TestCase): def setUp(self): scoring = "ratios" logr = "wt" cfg = load_config_data(CFG_FILE, CFG_DIR) cfg = update_cfg_file(cfg, scoring, logr) params = deepcopy(DEFAULT_STORE_PARAMS) self.general_test_component = HDF5TestComponent( store_constructor=Selection, cfg=cfg, result_dir=RESULT_DIR, file_ext=FILE_EXT, file_sep=FILE_SEP, save=False, params=params, verbose=False, libtype=LIBTYPE, scoring_method=scoring, logr_method=logr, coding="noncoding", ) self.general_test_component.setUp() def tearDown(self): self.general_test_component.tearDown() def test_all_hdf5_dataframes(self): self.general_test_component.runTest() class TestSelectionBasicLibCountsScoringCompleteNormN(unittest.TestCase): def setUp(self): scoring = "counts" logr = "complete" cfg = load_config_data(CFG_FILE, CFG_DIR) cfg = update_cfg_file(cfg, scoring, logr) params = deepcopy(DEFAULT_STORE_PARAMS) self.general_test_component = HDF5TestComponent( store_constructor=Selection, cfg=cfg, result_dir=RESULT_DIR, file_ext=FILE_EXT, file_sep=FILE_SEP, save=False, params=params, verbose=False, libtype=LIBTYPE, scoring_method=scoring, logr_method=logr, coding="noncoding", ) self.general_test_component.setUp() def tearDown(self): self.general_test_component.tearDown() def test_all_hdf5_dataframes(self): self.general_test_component.runTest() class TestSelectionBasicLibCountsScoringFullNormN(unittest.TestCase): def setUp(self): scoring = "counts" logr = "full" cfg = load_config_data(CFG_FILE, CFG_DIR) cfg = update_cfg_file(cfg, scoring, logr) params = deepcopy(DEFAULT_STORE_PARAMS) self.general_test_component = HDF5TestComponent( store_constructor=Selection, cfg=cfg, result_dir=RESULT_DIR, file_ext=FILE_EXT, file_sep=FILE_SEP, save=False, params=params, verbose=False, libtype=LIBTYPE, scoring_method=scoring, logr_method=logr, coding="noncoding", ) self.general_test_component.setUp() def tearDown(self): self.general_test_component.tearDown() def test_all_hdf5_dataframes(self): self.general_test_component.runTest() class TestSelectionBasicLibCountsScoringWTNormN(unittest.TestCase): def setUp(self): scoring = "counts" logr = "wt" cfg = load_config_data(CFG_FILE, CFG_DIR) cfg = update_cfg_file(cfg, scoring, logr) params = deepcopy(DEFAULT_STORE_PARAMS) self.general_test_component = HDF5TestComponent( store_constructor=Selection, cfg=cfg, result_dir=RESULT_DIR, file_ext=FILE_EXT, file_sep=FILE_SEP, save=False, params=params, verbose=False, libtype=LIBTYPE, scoring_method=scoring, logr_method=logr, coding="noncoding", ) self.general_test_component.setUp() def tearDown(self): self.general_test_component.tearDown() def test_all_hdf5_dataframes(self): self.general_test_component.runTest() class TestSelectionBasicLibSimpleScoringCompleteNormN(unittest.TestCase): def setUp(self): scoring = "simple" logr = "complete" cfg = load_config_data(CFG_FILE, CFG_DIR) cfg = update_cfg_file(cfg, scoring, logr) params = deepcopy(DEFAULT_STORE_PARAMS) self.general_test_component = HDF5TestComponent( store_constructor=Selection, cfg=cfg, result_dir=RESULT_DIR, file_ext=FILE_EXT, file_sep=FILE_SEP, save=False, params=params, verbose=False, libtype=LIBTYPE, scoring_method=scoring, logr_method=logr, coding="noncoding", ) self.general_test_component.setUp() def tearDown(self): self.general_test_component.tearDown() def test_all_hdf5_dataframes(self): self.general_test_component.runTest() class TestSelectionBasicLibSimpleScoringFullNormN(unittest.TestCase): def setUp(self): scoring = "simple" logr = "full" cfg = load_config_data(CFG_FILE, CFG_DIR) cfg = update_cfg_file(cfg, scoring, logr) params = deepcopy(DEFAULT_STORE_PARAMS) self.general_test_component = HDF5TestComponent( store_constructor=Selection, cfg=cfg, result_dir=RESULT_DIR, file_ext=FILE_EXT, file_sep=FILE_SEP, save=False, params=params, verbose=False, libtype=LIBTYPE, scoring_method=scoring, logr_method=logr, coding="noncoding", ) self.general_test_component.setUp() def tearDown(self): self.general_test_component.tearDown() def test_all_hdf5_dataframes(self): self.general_test_component.runTest() class TestSelectionBasicLibSimpleScoringWTNormN(unittest.TestCase): def setUp(self): scoring = "simple" logr = "wt" cfg = load_config_data(CFG_FILE, CFG_DIR) cfg = update_cfg_file(cfg, scoring, logr) params = deepcopy(DEFAULT_STORE_PARAMS) self.general_test_component = HDF5TestComponent( store_constructor=Selection, cfg=cfg, result_dir=RESULT_DIR, file_ext=FILE_EXT, file_sep=FILE_SEP, save=False, params=params, verbose=False, libtype=LIBTYPE, scoring_method=scoring, logr_method=logr, coding="noncoding", ) self.general_test_component.setUp() def tearDown(self): self.general_test_component.tearDown() def test_all_hdf5_dataframes(self): self.general_test_component.runTest() if __name__ == "__main__": unittest.main()

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14,377

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null

0

1

0

1

0

null

0

8

e886be48a12ea33c2b6cd69f63556c8e385424b7

3,720

py

Python

z2/part3/updated_part2_batch/jm/parser_errors_2/690864861.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

1

2020-04-16T12:13:47.000Z

z2/part3/updated_part2_batch/jm/parser_errors_2/690864861.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

18

2020-03-06T17:50:15.000Z

2020-05-19T14:58:30.000Z

z2/part3/updated_part2_batch/jm/parser_errors_2/690864861.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

18

2020-03-06T17:45:13.000Z

2020-06-09T19:18:31.000Z

from part1 import ( gamma_board, gamma_busy_fields, gamma_delete, gamma_free_fields, gamma_golden_move, gamma_golden_possible, gamma_move, gamma_new, ) """ scenario: test_random_actions uuid: 690864861 """ """ random actions, total chaos """ board = gamma_new(5, 4, 4, 6) assert board is not None assert gamma_move(board, 1, 2, 4) == 0 assert gamma_move(board, 1, 2, 1) == 1 assert gamma_move(board, 2, 2, 3) == 1 assert gamma_golden_possible(board, 2) == 1 assert gamma_move(board, 3, 0, 1) == 1 assert gamma_move(board, 3, 4, 3) == 1 assert gamma_golden_possible(board, 3) == 1 assert gamma_move(board, 4, 0, 2) == 1 assert gamma_move(board, 4, 4, 3) == 0 assert gamma_move(board, 1, 3, 0) == 1 assert gamma_move(board, 1, 3, 2) == 1 assert gamma_move(board, 2, 3, 0) == 0 assert gamma_move(board, 2, 0, 0) == 1 assert gamma_move(board, 3, 0, 2) == 0 assert gamma_golden_possible(board, 3) == 1 assert gamma_move(board, 4, 2, 2) == 1 assert gamma_move(board, 4, 1, 2) == 1 assert gamma_busy_fields(board, 4) == 3 assert gamma_move(board, 1, 1, 1) == 1 assert gamma_move(board, 1, 1, 0) == 1 assert gamma_move(board, 2, 1, 3) == 1 assert gamma_move(board, 3, 0, 2) == 0 assert gamma_move(board, 4, 3, 3) == 1 board372090703 = gamma_board(board) assert board372090703 is not None assert board372090703 == (".2243\n" "4441.\n" "311..\n" "21.1.\n") del board372090703 board372090703 = None assert gamma_move(board, 1, 2, 4) == 0 assert gamma_free_fields(board, 1) == 6 assert gamma_move(board, 2, 1, 3) == 0 assert gamma_move(board, 2, 0, 0) == 0 assert gamma_golden_possible(board, 2) == 1 assert gamma_move(board, 3, 1, 3) == 0 assert gamma_move(board, 3, 2, 3) == 0 assert gamma_move(board, 4, 1, 2) == 0 assert gamma_move(board, 4, 4, 0) == 1 board862555635 = gamma_board(board) assert board862555635 is not None assert board862555635 == (".2243\n" "4441.\n" "311..\n" "21.14\n") del board862555635 board862555635 = None assert gamma_move(board, 1, 3, 0) == 0 assert gamma_move(board, 1, 2, 2) == 0 assert gamma_move(board, 2, 0, 2) == 0 assert gamma_move(board, 2, 2, 2) == 0 assert gamma_move(board, 3, 1, 2) == 0 assert gamma_move(board, 4, 3, 1) == 1 assert gamma_move(board, 1, 4, 1) == 1 assert gamma_move(board, 2, 3, 0) == 0 assert gamma_move(board, 3, 2, 3) == 0 assert gamma_busy_fields(board, 3) == 2 assert gamma_free_fields(board, 3) == 3 assert gamma_move(board, 4, 1, 3) == 0 assert gamma_move(board, 4, 0, 1) == 0 assert gamma_move(board, 1, 3, 1) == 0 assert gamma_move(board, 2, 0, 2) == 0 assert gamma_move(board, 2, 0, 0) == 0 assert gamma_move(board, 3, 2, 0) == 1 assert gamma_move(board, 3, 0, 2) == 0 assert gamma_move(board, 4, 3, 1) == 0 assert gamma_move(board, 4, 4, 2) == 1 assert gamma_move(board, 1, 3, 0) == 0 assert gamma_busy_fields(board, 1) == 6 assert gamma_move(board, 2, 4, 2) == 0 assert gamma_move(board, 3, 3, 0) == 0 assert gamma_move(board, 4, 3, 0) == 0 assert gamma_move(board, 1, 2, 2) == 0 assert gamma_busy_fields(board, 1) == 6 assert gamma_golden_move(board, 1, 0, 0) == 1 assert gamma_move(board, 2, 1, 1) == 0 assert gamma_golden_move(board, 2, 0, 2) == 1 assert gamma_move(board, 3, 3, 0) == 0 assert gamma_move(board, 3, 1, 3) == 0 assert gamma_move(board, 4, 3, 0) == 0 assert gamma_move(board, 4, 1, 1) == 0 assert gamma_free_fields(board, 4) == 1 assert gamma_move(board, 1, 3, 0) == 0 assert gamma_move(board, 1, 0, 2) == 0 assert gamma_move(board, 2, 3, 0) == 0 assert gamma_move(board, 2, 4, 3) == 0 assert gamma_move(board, 3, 1, 2) == 0 assert gamma_golden_possible(board, 3) == 1 assert gamma_move(board, 4, 3, 0) == 0 gamma_delete(board)

31

46

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3,720

3.466077

0.060472

0.346383

0.382979

0.510638

0.802553

0.760426

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0.537021

0.512766

0

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3,720

119

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31.260504

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0

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0

0.009709

0

null

1

0

null

0

1

0

7

fa09de37ca28dc725550747a7a2760e060743902

114

py

Python

server/dockyard/driver/app/__init__.py

tor4z/Galileo-dockyard

c7f65c1466a1450315935ad03a5a504e7bdb1660

[ "MIT" ]

null

server/dockyard/driver/app/__init__.py

tor4z/Galileo-dockyard

c7f65c1466a1450315935ad03a5a504e7bdb1660

[ "MIT" ]

null

server/dockyard/driver/app/__init__.py

tor4z/Galileo-dockyard

c7f65c1466a1450315935ad03a5a504e7bdb1660

[ "MIT" ]

null

from dockyard.driver.app._app import AppDriver as App from dockyard.driver.app._build import BuildDriver as Build

38

59

0.842105

18

114

5.222222

0.5

0.255319

0.382979

0.446809

0

0.105263

114

2

60

57

0.921569

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

3afbb11e2004132e14b096fb40c7a8ddaa5df863

29,979

py

Python

web/transiq/restapi/serializers/owner.py

manibhushan05/transiq

763fafb271ce07d13ac8ce575f2fee653cf39343

[ "Apache-2.0" ]

null

web/transiq/restapi/serializers/owner.py

manibhushan05/transiq

763fafb271ce07d13ac8ce575f2fee653cf39343

[ "Apache-2.0" ]

14

2020-06-05T23:06:45.000Z

2022-03-12T00:00:18.000Z

web/transiq/restapi/serializers/owner.py

manibhushan05/transiq

763fafb271ce07d13ac8ce575f2fee653cf39343

[ "Apache-2.0" ]

null

from django.contrib.auth.models import User from rest_framework import serializers, ISO_8601 from rest_framework.validators import UniqueValidator from authentication.models import Profile from driver.models import Driver, DriverAppUser from owner.models import Route, Owner, Vehicle, FuelCard, FuelCardTransaction, VehicleSummary from owner.vehicle_util import display_format from restapi.helper_api import DATE_FORMAT from restapi.serializers.authentication import ProfileSerializer, BankSerializer from restapi.serializers.utils import CitySerializer from restapi.service.validators import validate_vehicle_number, validate_pan from utils.models import Address, City, VehicleCategory, Bank class RouteSerializer(serializers.Serializer): id = serializers.IntegerField(label='ID', read_only=True) created_on = serializers.DateTimeField(read_only=True) updated_on = serializers.DateTimeField(read_only=True) deleted = serializers.BooleanField(required=False) deleted_on = serializers.DateTimeField(allow_null=True, required=False) created_by = serializers.SlugRelatedField(queryset=User.objects.all(), required=False, slug_field="username") changed_by = serializers.SlugRelatedField(queryset=User.objects.all(), slug_field="username") source = serializers.PrimaryKeyRelatedField(queryset=City.objects.all()) destination = serializers.PrimaryKeyRelatedField(queryset=City.objects.all()) def to_representation(self, instance): self.fields["source"] = CitySerializer(read_only=True) self.fields["destination"] = CitySerializer(read_only=True) return super().to_representation(instance=instance) def create(self, validated_data): instance = Route.objects.create(**validated_data) return instance def update(self, instance, validated_data): Route.objects.filter(id=instance.id).update(**validated_data) return Route.objects.get(id=instance.id) class OwnerSerializer(serializers.Serializer): id = serializers.IntegerField(label='ID', read_only=True) owner_address = serializers.CharField(allow_null=True, min_length=3, max_length=300, required=False) pin = serializers.CharField(max_length=6, min_length=6, required=False) route_temp = serializers.CharField(allow_null=True, min_length=3, max_length=300, required=False) pan = serializers.CharField(allow_null=True, max_length=11, required=False, validators=[UniqueValidator(queryset=Owner.objects.all())]) declaration = serializers.CharField(allow_null=True, max_length=255, required=False) declaration_validity = serializers.DateField(allow_null=True, required=False, format=DATE_FORMAT, input_formats=[DATE_FORMAT, ISO_8601]) created_on = serializers.DateTimeField(read_only=True, format=DATE_FORMAT, input_formats=[DATE_FORMAT, ISO_8601]) updated_on = serializers.DateTimeField(read_only=True) deleted = serializers.BooleanField(required=False) deleted_on = serializers.DateTimeField(allow_null=True, required=False) created_by = serializers.SlugRelatedField(queryset=User.objects.all(), required=False, slug_field="username") changed_by = serializers.SlugRelatedField(queryset=User.objects.all(), slug_field="username") name = serializers.PrimaryKeyRelatedField( queryset=User.objects.all(), validators=[UniqueValidator(queryset=Owner.objects.all())], required=False) city = serializers.PrimaryKeyRelatedField(queryset=City.objects.all()) account_details = serializers.PrimaryKeyRelatedField(allow_null=True, queryset=Bank.objects.all(), required=False, validators=[UniqueValidator(queryset=Owner.objects.all())]) address = serializers.PrimaryKeyRelatedField(allow_null=True, queryset=Address.objects.all(), required=False, validators=[UniqueValidator(queryset=Owner.objects.all())]) owner_profile = serializers.SerializerMethodField() vehicle_list = serializers.SerializerMethodField() city_data = serializers.SerializerMethodField() owner_phone = serializers.CharField(write_only=True, required=False) def validate_owner_phone(self, attrs): if Owner.objects.exclude(deleted=True).filter(name__profile__phone=attrs).exists(): raise serializers.ValidationError("Owner Phone must be unique") return attrs def validate_pan(self,attrs): if attrs and not validate_pan(attrs): raise serializers.ValidationError('PAN is not valid') return attrs def get_city_data(self, instance): if isinstance(instance.city, City): return {'id': instance.city.id, 'name': instance.city.name, 'state': instance.city.state_name} return {} def get_vehicle_list(self, instance): if isinstance(instance, Owner): return [{'id': vehicle.id, 'vehicle_number': vehicle.number()} for vehicle in Vehicle.objects.filter(owner=instance)] return [] def get_owner_profile(self, instance): if isinstance(instance.name, User) and isinstance(instance.name.profile, Profile): return ProfileSerializer(instance.name.profile).data return {} def create(self, validated_data): routes = [] if "route" in validated_data.keys(): routes = validated_data.pop('route') validated_data.pop("owner_phone") instance = Owner.objects.create(**validated_data) for route in routes: instance.route.add(route) return instance def update(self, instance, validated_data): routes = [] if "route" in validated_data.keys(): instance.route.clear() routes = validated_data.pop('route') Owner.objects.filter(id=instance.id).update(**validated_data) for route in routes: instance.route.add(route) return Owner.objects.get(id=instance.id) class VehicleSerializer(serializers.Serializer): id = serializers.IntegerField(label='ID', read_only=True) vehicle_number = serializers.CharField(max_length=18, validators=[UniqueValidator(queryset=Vehicle.objects.all())]) rc_number = serializers.CharField(allow_null=True,min_length=3 ,max_length=20, required=False) permit = serializers.CharField(allow_null=True,min_length=3, max_length=25, required=False) permit_validity = serializers.DateField(allow_null=True, required=False, format=DATE_FORMAT, input_formats=[DATE_FORMAT, ISO_8601]) permit_type = serializers.CharField(allow_null=True,min_length=3 ,max_length=70, required=False) vehicle_capacity = serializers.IntegerField(allow_null=True, label='Exact Vehicle Capacity in Kg', max_value=2147483647, min_value=-2147483648, required=False) body_type = serializers.ChoiceField( choices=( ('open', 'Open'), ('closed', 'Closed'), ('semi', 'Semi'), ('half', 'Half'), ('containerized', 'Containerized')), required=True) vehicle_model = serializers.CharField(allow_null=True, min_length=3,max_length=30, required=False) chassis_number = serializers.CharField(allow_null=True,min_length=3, max_length=255, required=False) engine_number = serializers.CharField(allow_null=True,min_length=3, max_length=255, required=False) insurer = serializers.CharField(allow_null=True,min_length=3, max_length=100, required=False) insurance_number = serializers.CharField(allow_null=True,min_length=3, max_length=30, required=False) insurance_validity = serializers.DateField(allow_null=True, required=False, input_formats=[DATE_FORMAT, ISO_8601], format=DATE_FORMAT) registration_year = serializers.DateField(allow_null=True, required=False, input_formats=[DATE_FORMAT, ISO_8601], format=DATE_FORMAT) registration_validity = serializers.DateField(allow_null=True, required=False, input_formats=[DATE_FORMAT, ISO_8601], format=DATE_FORMAT) fitness_certificate_number = serializers.CharField( allow_null=True,min_length=3, max_length=255, required=False) fitness_certificate_issued_on = serializers.DateField( allow_null=True, required=False, input_formats=[DATE_FORMAT, ISO_8601], format=DATE_FORMAT) fitness_certificate_validity_date = serializers.DateField( allow_null=True, required=False, input_formats=[DATE_FORMAT, ISO_8601], format=DATE_FORMAT) puc_certificate_number = serializers.CharField(allow_null=True, min_length=3,max_length=255, required=False) puc_certificate_issued_on = serializers.DateField( allow_null=True, required=False, input_formats=[DATE_FORMAT, ISO_8601], format=DATE_FORMAT) puc_certificate_validity_date = serializers.DateField( allow_null=True, required=False, input_formats=[DATE_FORMAT, ISO_8601], format=DATE_FORMAT) status = serializers.ChoiceField( choices=(('unloaded', 'unloaded'), ('loading', 'loading'), ('loaded', 'loaded'), ('unloading', 'unloading')), required=False) gps_enabled = serializers.BooleanField(required=False) supplier_name = serializers.CharField(allow_null=True, max_length=70, required=False) supplier_phone = serializers.CharField(allow_null=True, max_length=30, required=False) owner_name = serializers.CharField(allow_null=True, max_length=70, required=False) owner_phone = serializers.CharField(allow_null=True, max_length=30, required=False) updated_on = serializers.DateTimeField(read_only=True) created_on = serializers.DateTimeField(read_only=True, format=DATE_FORMAT) owner = serializers.PrimaryKeyRelatedField(allow_null=True, queryset=Owner.objects.all(), required=False) driver = serializers.PrimaryKeyRelatedField(allow_null=True, queryset=Driver.objects.all(), required=False, validators=[UniqueValidator(queryset=Vehicle.objects.all())]) driver_app_user = serializers.PrimaryKeyRelatedField(allow_null=True, queryset=DriverAppUser.objects.all(), required=False) vehicle_type = serializers.PrimaryKeyRelatedField(allow_null=True, queryset=VehicleCategory.objects.all(), required=False) route = serializers.PrimaryKeyRelatedField(many=True, queryset=Route.objects.all(), required=False) bank_account = serializers.PrimaryKeyRelatedField(allow_null=True, queryset=Bank.objects.all(), required=False) deleted = serializers.BooleanField(required=False) deleted_on = serializers.DateTimeField(allow_null=True, required=False) created_by = serializers.SlugRelatedField(queryset=User.objects.all(), required=False, slug_field="username") changed_by = serializers.SlugRelatedField(queryset=User.objects.all(), slug_field="username") owner_data = serializers.SerializerMethodField() vehicle_type_data = serializers.SerializerMethodField() vehicle_number_display = serializers.SerializerMethodField() driver_data = serializers.SerializerMethodField() documents = serializers.SerializerMethodField() def validate_vehicle_number(self, value): if not validate_vehicle_number(value) and value: raise serializers.ValidationError("Not a valid vehicle number") return value def get_driver_data(self, instance): if isinstance(instance.driver, Driver): return { 'id': instance.driver.id, 'name': instance.driver.name, 'phone': instance.driver.phone, 'dl_number': instance.driver.driving_licence_number, 'dl_validity': instance.driver.driving_licence_validity.strftime( DATE_FORMAT) if instance.driver.driving_licence_validity else None, 'dl_location': instance.driver.driving_licence_location} return {'id': '-1', 'name': '-', 'phone': None, 'dl_number': None, 'dl_validity': None, 'dl_location': None} def get_vehicle_number_display(self, instance): return display_format(instance.vehicle_number) def get_owner_data(self, instance): if isinstance(instance.owner, Owner): return {'id': instance.owner.id, 'name': instance.owner.get_name(), 'phone': instance.owner.get_phone()} return {'id': -1, 'name': '-', 'phone': '-'} def get_vehicle_type_data(self, instance): if isinstance(instance.vehicle_type, VehicleCategory): return {'id': instance.vehicle_type.id, 'name': instance.vehicle_type.get_name()} return {'id': 0, 'name': '-'} def get_documents(self, instance): if isinstance(instance, Vehicle): return [{'id': doc.id, 'url': doc.s3_upload.public_url(), 'document_category': doc.document_category, 'document_category_display': doc.get_document_category_display(), 'thumb_url': doc.s3_upload.public_url(), 'bucket': doc.s3_upload.bucket, 'folder': doc.s3_upload.folder, 'uuid': doc.s3_upload.uuid, 'filename': doc.s3_upload.filename, 'validity': None, } for doc in instance.vehicle_files.exclude(deleted=True).exclude(s3_upload=None).order_by('id')] return [] def create(self, validated_data): routes = [] if "route" in validated_data.keys(): routes = validated_data.pop('route') instance = Vehicle.objects.create(**validated_data) for route in routes: instance.route.add(route) return instance def update(self, instance, validated_data): routes = [] if "route" in validated_data.keys(): instance.route.clear() routes = validated_data.pop('route') Vehicle.objects.filter(id=instance.id).update(**validated_data) for route in routes: instance.route.add(route) return Vehicle.objects.get(id=instance.id) class VehicleSummarySerializer(serializers.Serializer): id = serializers.IntegerField(label='ID', read_only=True) accounting_summary = serializers.JSONField(style={'base_template': 'textarea.html'}) created_on = serializers.DateTimeField(read_only=True) updated_on = serializers.DateTimeField(read_only=True) deleted = serializers.BooleanField(required=False) deleted_on = serializers.DateTimeField(allow_null=True, required=False) vehicle = serializers.PrimaryKeyRelatedField(queryset=Vehicle.objects.all(), validators=[UniqueValidator(queryset=VehicleSummary.objects.all())]) def create(self, validated_data): pass def update(self, instance, validated_data): pass class FMSVehicleSerializer(serializers.Serializer): id = serializers.IntegerField(label='ID', read_only=True) vehicle_number = serializers.CharField(write_only=True, max_length=18, validators=[UniqueValidator(queryset=Vehicle.objects.all())]) rc_number = serializers.CharField(allow_null=True ,max_length=20, required=False) permit = serializers.CharField(allow_null=True,min_length=3, max_length=25, required=False) permit_validity = serializers.DateField(allow_null=True, required=False, format=DATE_FORMAT, input_formats=[DATE_FORMAT, ISO_8601]) permit_type = serializers.CharField(allow_null=True, max_length=70, required=False) vehicle_capacity = serializers.IntegerField(allow_null=True, label='Exact Vehicle Capacity in Kg', max_value=2147483647, min_value=-2147483648, required=False) body_type = serializers.ChoiceField(allow_null=True, choices=( ('open', 'Open'), ('closed', 'Closed'), ('semi', 'Semi'), ('half', 'Half'), ('containerized', 'Containerized')), required=False) vehicle_model = serializers.CharField(allow_null=True, max_length=30, required=False) chassis_number = serializers.CharField(allow_null=True, max_length=255, required=False) engine_number = serializers.CharField(allow_null=True, max_length=255, required=False) insurer = serializers.CharField(allow_null=True, max_length=100, required=False) insurance_number = serializers.CharField(allow_null=True, max_length=30, required=False) insurance_validity = serializers.DateField(allow_null=True, required=False, input_formats=[DATE_FORMAT, ISO_8601], format=DATE_FORMAT) registration_year = serializers.DateField(allow_null=True, required=False, input_formats=[DATE_FORMAT, ISO_8601], format='%Y') registration_validity = serializers.DateField(allow_null=True, required=False, input_formats=[DATE_FORMAT, ISO_8601], format=DATE_FORMAT) fitness_certificate_number = serializers.CharField( allow_null=True, max_length=255, required=False) fitness_certificate_issued_on = serializers.DateField( allow_null=True, required=False, input_formats=[DATE_FORMAT, ISO_8601], format=DATE_FORMAT) fitness_certificate_validity_date = serializers.DateField( allow_null=True, required=False, input_formats=[DATE_FORMAT, ISO_8601], format=DATE_FORMAT) puc_certificate_number = serializers.CharField(allow_null=True, max_length=255, required=False) puc_certificate_issued_on = serializers.DateField( allow_null=True, required=False, input_formats=[DATE_FORMAT, ISO_8601], format=DATE_FORMAT) puc_certificate_validity_date = serializers.DateField( allow_null=True, required=False, input_formats=[DATE_FORMAT, ISO_8601], format=DATE_FORMAT) status = serializers.ChoiceField( choices=(('unloaded', 'unloaded'), ('loading', 'loading'), ('loaded', 'loaded'), ('unloading', 'unloading')), required=False) gps_enabled = serializers.BooleanField(required=False) supplier_name = serializers.CharField(allow_null=True, max_length=70, required=False) supplier_phone = serializers.CharField(allow_null=True, max_length=30, required=False) owner_name = serializers.CharField(allow_null=True, max_length=70, required=False) owner_phone = serializers.CharField(allow_null=True, max_length=30, required=False) updated_on = serializers.DateTimeField(read_only=True) created_on = serializers.DateTimeField(read_only=True, format=DATE_FORMAT) owner = serializers.PrimaryKeyRelatedField(write_only=True, allow_null=True, queryset=Owner.objects.all(), required=False) driver = serializers.PrimaryKeyRelatedField(allow_null=True, queryset=Driver.objects.all(), required=False, validators=[UniqueValidator(queryset=Vehicle.objects.all())]) driver_app_user = serializers.PrimaryKeyRelatedField(write_only=True, allow_null=True, queryset=DriverAppUser.objects.all(), required=False) vehicle_type = serializers.PrimaryKeyRelatedField(write_only=True, allow_null=True, queryset=VehicleCategory.objects.all(), required=False) route = serializers.PrimaryKeyRelatedField(many=True, queryset=Route.objects.all(), required=False) bank_account = serializers.PrimaryKeyRelatedField(allow_null=True, queryset=Bank.objects.all(), required=False) deleted = serializers.BooleanField(required=False) deleted_on = serializers.DateTimeField(allow_null=True, required=False) created_by = serializers.SlugRelatedField(queryset=User.objects.all(), required=False, slug_field="username") changed_by = serializers.SlugRelatedField(queryset=User.objects.all(), slug_field="username") owner_data = serializers.SerializerMethodField() vehicle_type_data = serializers.SerializerMethodField() vehicle_number_display = serializers.SerializerMethodField() driver_data = serializers.SerializerMethodField() documents = serializers.SerializerMethodField() def get_driver_data(self, instance): if isinstance(instance.driver, Driver): return {'id': instance.driver.id, 'name': instance.driver.name, 'phone': instance.driver.phone, 'dl_number': instance.driver.driving_licence_number, 'dl_validity': instance.driver.driving_licence_validity.strftime( DATE_FORMAT) if instance.driver.driving_licence_validity else None, 'dl_location': instance.driver.driving_licence_location} return {'id': '-1', 'name': '-', 'phone': None, 'dl_number': None, 'dl_validity': None, 'dl_location': None} def to_representation(self, instance): self.fields['bank_account'] = BankSerializer(read_only=True) return super().to_representation(instance=instance) def get_vehicle_number_display(self, instance): return display_format(instance.vehicle_number) def get_owner_data(self, instance): if isinstance(instance.owner, Owner): return {'id': instance.owner.id, 'name': instance.owner.get_name(), 'phone': instance.owner.get_phone(), 'pan': instance.owner.pan, 'declaration_validity': instance.owner.declaration_validity.strftime( DATE_FORMAT) if instance.owner.declaration_validity else None} return {'id': -1, 'name': None, 'phone': None, 'pan': None, 'declaration_validity': None} def get_vehicle_type_data(self, instance): if isinstance(instance.vehicle_type, VehicleCategory): return {'id': instance.vehicle_type.id, 'name': instance.vehicle_type.get_name()} return {'id': 0, 'name': '-'} def get_documents(self, instance): vehicle_docs = [{'id': doc.id, 'url': doc.s3_upload.public_url(), 'document_category': doc.document_category, 'document_category_display': doc.get_document_category_display(), 'thumb_url': doc.s3_upload.public_url(), 'bucket': doc.s3_upload.bucket, 'folder': doc.s3_upload.folder, 'uuid': doc.s3_upload.uuid, 'filename': doc.s3_upload.filename, 'validity': None, } for doc in instance.vehicle_files.exclude(deleted=True).exclude(s3_upload=None)] if isinstance(instance.owner, Owner): owner_docs = [{'id': doc.id, 'url': doc.s3_upload.public_url(), 'document_category': doc.document_category, 'document_category_display': doc.get_document_category_display(), 'thumb_url': doc.s3_upload.public_url(), 'bucket': doc.s3_upload.bucket, 'folder': doc.s3_upload.folder, 'uuid': doc.s3_upload.uuid, 'filename': doc.s3_upload.filename, 'validity': None, } for doc in instance.owner.owner_files.exclude(s3_upload=None)] else: owner_docs = [] if isinstance(instance.driver, Driver): driver_docs = [{'id': doc.id, 'url': doc.s3_upload.public_url(), 'document_category': doc.document_category, 'document_category_display': doc.get_document_category_display(), 'thumb_url': doc.s3_upload.public_url(), 'bucket': doc.s3_upload.bucket, 'folder': doc.s3_upload.folder, 'uuid': doc.s3_upload.uuid, 'filename': doc.s3_upload.filename, 'validity': None, } for doc in instance.driver.driver_files.exclude(s3_upload=None)] else: driver_docs = [] return vehicle_docs + owner_docs + driver_docs @classmethod def many_init(cls, *args, **kwargs): kwargs['child'] = cls() excluded_fields = [ 'documents', 'driver_data', 'driver_app_user', 'rc_number', 'permit', 'permit_validity', 'permit_type', 'vehicle_capacity', 'chassis_number', 'engine_number', 'insurer', 'insurance_number', 'insurance_validity', 'registration_year', 'registration_validity', 'fitness_certificate_number', 'fitness_certificate_issued_on', 'fitness_certificate_validity_date', 'puc_certificate_number', 'puc_certificate_issued_on', 'route', 'puc_certificate_validity_date', 'status', 'gps_enabled', 'supplier_name', 'supplier_phone', 'owner_name', 'updated_on', 'created_on', 'deleted', 'deleted_on', 'created_by', 'changed_by', 'body_type', 'vehicle_model', 'owner_phone', 'driver', 'owner_data' ] for field in excluded_fields: kwargs['child'].fields.pop(field) return serializers.ListSerializer(*args, **kwargs) def create(self, validated_data): routes = [] if "route" in validated_data.keys(): routes = validated_data.pop('route') instance = Vehicle.objects.create(**validated_data) for route in routes: instance.route.add(route) return instance def update(self, instance, validated_data): routes = [] if "route" in validated_data.keys(): instance.route.clear() routes = validated_data.pop('route') Vehicle.objects.filter(id=instance.id).update(**validated_data) for route in routes: instance.route.add(route) return Vehicle.objects.get(id=instance.id) class Select2FuelCardSerializer(serializers.Serializer): id = serializers.IntegerField(label='ID', read_only=True) text = serializers.SerializerMethodField() def get_text(self, instance): if isinstance(instance, FuelCard): return instance.card_number return None class FuelCardSerializer(serializers.Serializer): id = serializers.IntegerField(label='ID', read_only=True) customer_id = serializers.CharField(max_length=30, required=False) card_number = serializers.CharField(allow_null=True, max_length=40, required=False, validators=[UniqueValidator(queryset=FuelCard.objects.all())]) issue_date = serializers.DateField(allow_null=True, required=False, format=DATE_FORMAT, input_formats=[DATE_FORMAT, ISO_8601]) expiry_date = serializers.DateField(allow_null=True, required=False, format=DATE_FORMAT, input_formats=[DATE_FORMAT, ISO_8601]) update_on = serializers.DateTimeField(read_only=True) created_on = serializers.DateTimeField(read_only=True) deleted = serializers.BooleanField(required=False) deleted_on = serializers.DateTimeField(allow_null=True, required=False) created_by = serializers.SlugRelatedField(queryset=User.objects.all(), required=False, slug_field="username") changed_by = serializers.SlugRelatedField(queryset=User.objects.all(), slug_field="username") def create(self, validated_data): instance = FuelCard.objects.create(**validated_data) return instance def update(self, instance, validated_data): FuelCard.objects.filter(id=instance.id).update(**validated_data) return FuelCard.objects.get(id=instance.id) class FuelCardTransactionSerializer(serializers.Serializer): id = serializers.IntegerField(label='ID', read_only=True) paid_to = serializers.CharField(allow_null=True, max_length=70, required=False) amount = serializers.IntegerField(max_value=2147483647, min_value=-2147483648, required=False) payment_date = serializers.DateTimeField() update_on = serializers.DateTimeField(read_only=True) created_on = serializers.DateTimeField(read_only=True) deleted = serializers.BooleanField(required=False) deleted_on = serializers.DateTimeField(allow_null=True, required=False) created_by = serializers.SlugRelatedField(queryset=User.objects.all(), required=False, slug_field="username") changed_by = serializers.SlugRelatedField(queryset=User.objects.all(), slug_field="username") vehicle = serializers.PrimaryKeyRelatedField(queryset=Vehicle.objects.all()) fuel_card = serializers.PrimaryKeyRelatedField(queryset=FuelCard.objects.all()) def to_representation(self, instance): self.fields["vehicle"] = VehicleSerializer(read_only=True) self.fields["fuel_card"] = FuelCardSerializer(read_only=True) return super().to_representation(instance=instance) def create(self, validated_data): instance = FuelCardTransaction.objects.create(**validated_data) return instance def update(self, instance, validated_data): FuelCardTransaction.objects.filter(id=instance.id).update(**validated_data) return FuelCardTransaction.objects.get(id=instance.id)

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d737f21d1b1f5f322229f36ed56d99824a855d79

10,609

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Python

venv/lib/python3.7/site-packages/setuptools_git/tests.py

vchiapaikeo/prophet

e8c250ca7bfffc280baa7dabc80a2c2d1f72c6a7

[ "MIT" ]

15

2015-05-01T22:09:55.000Z

2021-04-25T17:05:18.000Z

venv/lib/python3.7/site-packages/setuptools_git/tests.py

vchiapaikeo/prophet

e8c250ca7bfffc280baa7dabc80a2c2d1f72c6a7

[ "MIT" ]

7

2016-12-08T21:54:25.000Z

2018-05-13T14:30:54.000Z

venv/lib/python3.7/site-packages/setuptools_git/tests.py

vchiapaikeo/prophet

e8c250ca7bfffc280baa7dabc80a2c2d1f72c6a7

[ "MIT" ]

12

2015-05-19T18:14:30.000Z

2018-08-29T20:35:19.000Z

# -*- coding: utf-8 -*- import sys import os import tempfile import unittest from os.path import realpath, join from setuptools_git.utils import rmtree from setuptools_git.utils import posix from setuptools_git.utils import fsdecode from setuptools_git.utils import hfs_quote from setuptools_git.utils import decompose class GitTestCase(unittest.TestCase): def setUp(self): self.old_cwd = os.getcwd() self.directory = self.new_repo() def tearDown(self): os.chdir(self.old_cwd) rmtree(self.directory) def new_repo(self): from setuptools_git.utils import check_call directory = realpath(tempfile.mkdtemp()) os.chdir(directory) check_call(['git', 'init', '--quiet', os.curdir]) return directory def create_file(self, *path): fd = open(join(*path), 'wt') fd.write('dummy\n') fd.close() def create_dir(self, *path): os.makedirs(join(*path)) def create_git_file(self, *path): from setuptools_git.utils import check_call filename = join(*path) fd = open(filename, 'wt') fd.write('dummy\n') fd.close() check_call(['git', 'add', filename]) check_call(['git', 'commit', '--quiet', '-m', 'add new file']) class gitlsfiles_tests(GitTestCase): def gitlsfiles(self, *a, **kw): from setuptools_git import gitlsfiles return gitlsfiles(*a, **kw) def test_at_repo_root(self): self.create_git_file('root.txt') self.assertEqual( set(self.gitlsfiles(self.directory)), set([posix(realpath('root.txt'))])) def test_at_repo_root_with_subdir(self): self.create_git_file('root.txt') self.create_dir('subdir') self.create_git_file('subdir', 'entry.txt') self.assertEqual( set(self.gitlsfiles(self.directory)), set([posix(realpath('root.txt')), posix(realpath('subdir/entry.txt'))])) def test_at_repo_subdir(self): self.create_git_file('root.txt') self.create_dir('subdir') self.create_git_file('subdir', 'entry.txt') self.assertEqual( set(self.gitlsfiles(join(self.directory, 'subdir'))), set([posix(realpath('root.txt')), posix(realpath('subdir/entry.txt'))])) def test_nonascii_filename(self): filename = 'héhé.html' # HFS Plus uses decomposed UTF-8 if sys.platform == 'darwin': filename = decompose(filename) self.create_git_file(filename) self.assertEqual( [fn for fn in os.listdir(self.directory) if fn[0] != '.'], [filename]) self.assertEqual( set(self.gitlsfiles(self.directory)), set([posix(realpath(filename))])) def test_utf8_filename(self): if sys.version_info >= (3,): filename = 'héhé.html'.encode('utf-8') else: filename = 'héhé.html' # HFS Plus uses decomposed UTF-8 if sys.platform == 'darwin': filename = decompose(filename) # Windows does not like byte filenames under Python 3 if sys.platform == 'win32' and sys.version_info >= (3,): filename = filename.decode('utf-8') self.create_git_file(filename) self.assertEqual( [fn for fn in os.listdir(self.directory) if fn[0] != '.'], [fsdecode(filename)]) self.assertEqual( set(self.gitlsfiles(self.directory)), set([posix(realpath(fsdecode(filename)))])) def test_latin1_filename(self): if sys.version_info >= (3,): filename = 'héhé.html'.encode('latin-1') else: filename = 'h\xe9h\xe9.html' # HFS Plus quotes unknown bytes if sys.platform == 'darwin': filename = hfs_quote(filename) # Windows does not like byte filenames under Python 3 if sys.platform == 'win32' and sys.version_info >= (3,): filename = filename.decode('latin-1') self.create_git_file(filename) self.assertEqual( [fn for fn in os.listdir(self.directory) if fn[0] != '.'], [fsdecode(filename)]) self.assertEqual( set(self.gitlsfiles(self.directory)), set([posix(realpath(fsdecode(filename)))])) def test_empty_repo(self): self.assertEqual( [fn for fn in os.listdir(self.directory) if fn[0] != '.'], []) self.assertEqual( set(self.gitlsfiles(self.directory)), set([])) def test_empty_dirname(self): self.create_git_file('root.txt') self.assertEqual( set(self.gitlsfiles()), set([posix(realpath('root.txt'))])) def test_directory_only_contains_another_directory(self): self.create_dir('foo/bar') self.create_git_file('foo/bar/root.txt') self.assertEqual( set(self.gitlsfiles()), set([posix(realpath(join('foo', 'bar', 'root.txt')))]) ) def test_empty_dirname_in_subdir(self): self.create_git_file('root.txt') self.create_dir('subdir') self.create_git_file('subdir', 'entry.txt') os.chdir(join(self.directory, 'subdir')) self.assertEqual( set(self.gitlsfiles()), set([posix(realpath('../root.txt')), posix(realpath('../subdir/entry.txt'))])) def test_git_error(self): import setuptools_git from setuptools_git.utils import CalledProcessError def do_raise(*args, **kw): raise CalledProcessError(1, 'git') self.create_git_file('root.txt') saved = setuptools_git.check_output setuptools_git.check_output = do_raise try: self.assertEqual(self.gitlsfiles(), set()) finally: setuptools_git.check_output = saved class listfiles_tests(GitTestCase): def listfiles(self, *a, **kw): from setuptools_git import listfiles return listfiles(*a, **kw) def test_at_repo_root(self): self.create_git_file('root.txt') self.assertEqual( set(self.listfiles(self.directory)), set(['root.txt'])) def test_at_repo_root_with_subdir(self): self.create_git_file('root.txt') self.create_dir('subdir') self.create_git_file('subdir', 'entry.txt') self.assertEqual( set(self.listfiles(self.directory)), set(['root.txt', join('subdir', 'entry.txt')])) def test_at_repo_subdir(self): self.create_git_file('root.txt') self.create_dir('subdir') self.create_git_file('subdir', 'entry.txt') self.assertEqual( set(self.listfiles(join(self.directory, 'subdir'))), set(['entry.txt'])) def test_nonascii_filename(self): filename = 'héhé.html' # HFS Plus uses decomposed UTF-8 if sys.platform == 'darwin': filename = decompose(filename) self.create_git_file(filename) self.assertEqual( [fn for fn in os.listdir(self.directory) if fn[0] != '.'], [filename]) self.assertEqual( set(self.listfiles(self.directory)), set([filename])) def test_utf8_filename(self): if sys.version_info >= (3,): filename = 'héhé.html'.encode('utf-8') else: filename = 'héhé.html' # HFS Plus uses decomposed UTF-8 if sys.platform == 'darwin': filename = decompose(filename) # Windows does not like byte filenames under Python 3 if sys.platform == 'win32' and sys.version_info >= (3,): filename = filename.decode('utf-8') self.create_git_file(filename) self.assertEqual( [fn for fn in os.listdir(self.directory) if fn[0] != '.'], [fsdecode(filename)]) self.assertEqual( set(self.listfiles(self.directory)), set([fsdecode(filename)])) def test_latin1_filename(self): if sys.version_info >= (3,): filename = 'héhé.html'.encode('latin-1') else: filename = 'h\xe9h\xe9.html' # HFS Plus quotes unknown bytes if sys.platform == 'darwin': filename = hfs_quote(filename) # Windows does not like byte filenames under Python 3 if sys.platform == 'win32' and sys.version_info >= (3,): filename = filename.decode('latin-1') self.create_git_file(filename) self.assertEqual( [fn for fn in os.listdir(self.directory) if fn[0] != '.'], [fsdecode(filename)]) self.assertEqual( set(self.listfiles(self.directory)), set([fsdecode(filename)])) def test_empty_repo(self): self.assertEqual( [fn for fn in os.listdir(self.directory) if fn[0] != '.'], []) self.assertEqual( set(self.listfiles(self.directory)), set([])) def test_empty_dirname(self): self.create_git_file('root.txt') self.assertEqual( set(self.listfiles()), set(['root.txt'])) def test_directory_only_contains_another_directory(self): self.create_dir('foo/bar') self.create_git_file('foo/bar/root.txt') self.assertEqual( set(self.listfiles()), set([join('foo', 'bar', 'root.txt')]) ) def test_empty_dirname_in_subdir(self): self.create_git_file('root.txt') self.create_dir('subdir') self.create_git_file('subdir', 'entry.txt') os.chdir(join(self.directory, 'subdir')) self.assertEqual( set(self.listfiles()), set(['entry.txt'])) def test_git_error(self): import setuptools_git from setuptools_git.utils import CalledProcessError def do_raise(*args, **kw): raise CalledProcessError(1, 'git') self.create_git_file('root.txt') saved = setuptools_git.check_output setuptools_git.check_output = do_raise try: for filename in self.listfiles(): self.fail('unexpected results') finally: setuptools_git.check_output = saved

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0.572533

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0.107527

0.057676

0.059542

0.074979

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null

0

1

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1

0

null

0

7

d789807efd5325ce92b9c56fccb1d9a43a6fce75

173

py

Python

tottle/types/updates/callback_query.py

muffleo/tottle

69a5bdda879ab56d43505d517d3369a687c135a2

[ "MIT" ]

12

2020-09-06T15:31:34.000Z

2021-02-27T20:30:34.000Z

tottle/types/updates/callback_query.py

cyanlabs-org/tottle

6cf02022ed7b445c9b5af475c6e854b91780d792

[ "MIT" ]

2

2021-04-13T06:43:42.000Z

2021-07-07T20:52:39.000Z

tottle/types/updates/callback_query.py

cyanlabs-org/tottle

6cf02022ed7b445c9b5af475c6e854b91780d792

[ "MIT" ]

4

2020-09-12T03:09:25.000Z

2021-03-22T08:52:04.000Z

from tottle.types.objects.query import CallbackQuery from tottle.types.updates.base import BaseBotUpdate class CallbackQueryUpdate(BaseBotUpdate, CallbackQuery): pass

24.714286

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0.137931

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173

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null

0

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0

1

0

7

ad21881e396ca87dd762cc1bc06d7ac12178d460

124

py

Python

obsvail/__init__.py

sandipan1/robo_rl

3bcb7caabeba71dd747fadf2355ac42408b7f340

[ "MIT" ]

5

2018-10-16T03:48:02.000Z

2021-10-01T08:58:05.000Z

obsvail/__init__.py

sandipan1/robo_rl

3bcb7caabeba71dd747fadf2355ac42408b7f340

[ "MIT" ]

1

2018-10-17T16:19:14.000Z

2018-10-31T06:19:30.000Z

obsvail/__init__.py

sandipan1/robo_rl

3bcb7caabeba71dd747fadf2355ac42408b7f340

[ "MIT" ]

null

from robo_rl.obsvail.obsvail import ObsVAIL from robo_rl.obsvail.obsvail_parser import get_obsvail_parser, get_logfile_name

41.333333

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0.887097

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124

5.15

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0.15534

0.194175

0.330097

0.466019

0

0.072581

124

2

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null

0

1

0

1

0

1

0

7

ad47b14ef93536bdb9ce5fc373a2b332dfa79c38

186

py

Python

EDyA_II/5_Files/seek.py

jrg-sln/academy

498c11dcfeab78dbbbb77045a13d7d6675c0d150

[ "MIT" ]

null

EDyA_II/5_Files/seek.py

jrg-sln/academy

498c11dcfeab78dbbbb77045a13d7d6675c0d150

[ "MIT" ]

null

EDyA_II/5_Files/seek.py

jrg-sln/academy

498c11dcfeab78dbbbb77045a13d7d6675c0d150

[ "MIT" ]

null

# -*- coding: utf-8 -*- print("seek()") with open("seek.py", "r") as file: print(file.tell()) print(file.readline()) print(file.tell()) print(file.seek(30)) print(file.readline())

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0

1

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null

0

1

0

1

0

7

ad60d43abe23350b1857b76ddabc0ead5bb34ac0

33,299

py

Python

sdk/python/pulumi_azure/redis/enterprise_database.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

109

2018-06-18T00:19:44.000Z

2022-02-20T05:32:57.000Z

sdk/python/pulumi_azure/redis/enterprise_database.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

663

2018-06-18T21:08:46.000Z

2022-03-31T20:10:11.000Z

sdk/python/pulumi_azure/redis/enterprise_database.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

41

2018-07-19T22:37:38.000Z

2022-03-14T10:56:26.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities from . import outputs from ._inputs import * __all__ = ['EnterpriseDatabaseArgs', 'EnterpriseDatabase'] @pulumi.input_type class EnterpriseDatabaseArgs: def __init__(__self__, *, cluster_id: pulumi.Input[str], resource_group_name: pulumi.Input[str], client_protocol: Optional[pulumi.Input[str]] = None, clustering_policy: Optional[pulumi.Input[str]] = None, eviction_policy: Optional[pulumi.Input[str]] = None, modules: Optional[pulumi.Input[Sequence[pulumi.Input['EnterpriseDatabaseModuleArgs']]]] = None, name: Optional[pulumi.Input[str]] = None, port: Optional[pulumi.Input[int]] = None): """ The set of arguments for constructing a EnterpriseDatabase resource. :param pulumi.Input[str] cluster_id: The resource id of the Redis Enterprise Cluster to deploy this Redis Enterprise Database. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[str] resource_group_name: The name of the Resource Group where the Redis Enterprise Database should exist. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[str] client_protocol: Specifies whether redis clients can connect using TLS-encrypted or plaintext redis protocols. Default is TLS-encrypted. Possible values are `Encrypted` and `Plaintext`. Defaults to `Encrypted`. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[str] clustering_policy: Clustering policy - default is OSSCluster. Specified at create time. Possible values are `EnterpriseCluster` and `OSSCluster`. Defaults to `OSSCluster`. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[str] eviction_policy: Redis eviction policy - default is VolatileLRU. Possible values are `AllKeysLFU`, `AllKeysLRU`, `AllKeysRandom`, `VolatileLRU`, `VolatileLFU`, `VolatileTTL`, `VolatileRandom` and `NoEviction`. Defaults to `VolatileLRU`. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[Sequence[pulumi.Input['EnterpriseDatabaseModuleArgs']]] modules: A `module` block as defined below. :param pulumi.Input[str] name: The name which should be used for this Redis Enterprise Database. Currently the acceptable value for this argument is `default`. Defaults to `default`. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[int] port: TCP port of the database endpoint. Specified at create time. Defaults to an available port. Changing this forces a new Redis Enterprise Database to be created. """ pulumi.set(__self__, "cluster_id", cluster_id) pulumi.set(__self__, "resource_group_name", resource_group_name) if client_protocol is not None: pulumi.set(__self__, "client_protocol", client_protocol) if clustering_policy is not None: pulumi.set(__self__, "clustering_policy", clustering_policy) if eviction_policy is not None: pulumi.set(__self__, "eviction_policy", eviction_policy) if modules is not None: pulumi.set(__self__, "modules", modules) if name is not None: pulumi.set(__self__, "name", name) if port is not None: pulumi.set(__self__, "port", port) @property @pulumi.getter(name="clusterId") def cluster_id(self) -> pulumi.Input[str]: """ The resource id of the Redis Enterprise Cluster to deploy this Redis Enterprise Database. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "cluster_id") @cluster_id.setter def cluster_id(self, value: pulumi.Input[str]): pulumi.set(self, "cluster_id", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Input[str]: """ The name of the Resource Group where the Redis Enterprise Database should exist. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: pulumi.Input[str]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter(name="clientProtocol") def client_protocol(self) -> Optional[pulumi.Input[str]]: """ Specifies whether redis clients can connect using TLS-encrypted or plaintext redis protocols. Default is TLS-encrypted. Possible values are `Encrypted` and `Plaintext`. Defaults to `Encrypted`. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "client_protocol") @client_protocol.setter def client_protocol(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "client_protocol", value) @property @pulumi.getter(name="clusteringPolicy") def clustering_policy(self) -> Optional[pulumi.Input[str]]: """ Clustering policy - default is OSSCluster. Specified at create time. Possible values are `EnterpriseCluster` and `OSSCluster`. Defaults to `OSSCluster`. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "clustering_policy") @clustering_policy.setter def clustering_policy(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "clustering_policy", value) @property @pulumi.getter(name="evictionPolicy") def eviction_policy(self) -> Optional[pulumi.Input[str]]: """ Redis eviction policy - default is VolatileLRU. Possible values are `AllKeysLFU`, `AllKeysLRU`, `AllKeysRandom`, `VolatileLRU`, `VolatileLFU`, `VolatileTTL`, `VolatileRandom` and `NoEviction`. Defaults to `VolatileLRU`. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "eviction_policy") @eviction_policy.setter def eviction_policy(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "eviction_policy", value) @property @pulumi.getter def modules(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['EnterpriseDatabaseModuleArgs']]]]: """ A `module` block as defined below. """ return pulumi.get(self, "modules") @modules.setter def modules(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['EnterpriseDatabaseModuleArgs']]]]): pulumi.set(self, "modules", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name which should be used for this Redis Enterprise Database. Currently the acceptable value for this argument is `default`. Defaults to `default`. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def port(self) -> Optional[pulumi.Input[int]]: """ TCP port of the database endpoint. Specified at create time. Defaults to an available port. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "port") @port.setter def port(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "port", value) @pulumi.input_type class _EnterpriseDatabaseState: def __init__(__self__, *, client_protocol: Optional[pulumi.Input[str]] = None, cluster_id: Optional[pulumi.Input[str]] = None, clustering_policy: Optional[pulumi.Input[str]] = None, eviction_policy: Optional[pulumi.Input[str]] = None, modules: Optional[pulumi.Input[Sequence[pulumi.Input['EnterpriseDatabaseModuleArgs']]]] = None, name: Optional[pulumi.Input[str]] = None, port: Optional[pulumi.Input[int]] = None, primary_access_key: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, secondary_access_key: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering EnterpriseDatabase resources. :param pulumi.Input[str] client_protocol: Specifies whether redis clients can connect using TLS-encrypted or plaintext redis protocols. Default is TLS-encrypted. Possible values are `Encrypted` and `Plaintext`. Defaults to `Encrypted`. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[str] cluster_id: The resource id of the Redis Enterprise Cluster to deploy this Redis Enterprise Database. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[str] clustering_policy: Clustering policy - default is OSSCluster. Specified at create time. Possible values are `EnterpriseCluster` and `OSSCluster`. Defaults to `OSSCluster`. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[str] eviction_policy: Redis eviction policy - default is VolatileLRU. Possible values are `AllKeysLFU`, `AllKeysLRU`, `AllKeysRandom`, `VolatileLRU`, `VolatileLFU`, `VolatileTTL`, `VolatileRandom` and `NoEviction`. Defaults to `VolatileLRU`. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[Sequence[pulumi.Input['EnterpriseDatabaseModuleArgs']]] modules: A `module` block as defined below. :param pulumi.Input[str] name: The name which should be used for this Redis Enterprise Database. Currently the acceptable value for this argument is `default`. Defaults to `default`. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[int] port: TCP port of the database endpoint. Specified at create time. Defaults to an available port. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[str] primary_access_key: The Primary Access Key for the Redis Enterprise Database Instance. :param pulumi.Input[str] resource_group_name: The name of the Resource Group where the Redis Enterprise Database should exist. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[str] secondary_access_key: The Secondary Access Key for the Redis Enterprise Database Instance. """ if client_protocol is not None: pulumi.set(__self__, "client_protocol", client_protocol) if cluster_id is not None: pulumi.set(__self__, "cluster_id", cluster_id) if clustering_policy is not None: pulumi.set(__self__, "clustering_policy", clustering_policy) if eviction_policy is not None: pulumi.set(__self__, "eviction_policy", eviction_policy) if modules is not None: pulumi.set(__self__, "modules", modules) if name is not None: pulumi.set(__self__, "name", name) if port is not None: pulumi.set(__self__, "port", port) if primary_access_key is not None: pulumi.set(__self__, "primary_access_key", primary_access_key) if resource_group_name is not None: pulumi.set(__self__, "resource_group_name", resource_group_name) if secondary_access_key is not None: pulumi.set(__self__, "secondary_access_key", secondary_access_key) @property @pulumi.getter(name="clientProtocol") def client_protocol(self) -> Optional[pulumi.Input[str]]: """ Specifies whether redis clients can connect using TLS-encrypted or plaintext redis protocols. Default is TLS-encrypted. Possible values are `Encrypted` and `Plaintext`. Defaults to `Encrypted`. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "client_protocol") @client_protocol.setter def client_protocol(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "client_protocol", value) @property @pulumi.getter(name="clusterId") def cluster_id(self) -> Optional[pulumi.Input[str]]: """ The resource id of the Redis Enterprise Cluster to deploy this Redis Enterprise Database. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "cluster_id") @cluster_id.setter def cluster_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "cluster_id", value) @property @pulumi.getter(name="clusteringPolicy") def clustering_policy(self) -> Optional[pulumi.Input[str]]: """ Clustering policy - default is OSSCluster. Specified at create time. Possible values are `EnterpriseCluster` and `OSSCluster`. Defaults to `OSSCluster`. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "clustering_policy") @clustering_policy.setter def clustering_policy(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "clustering_policy", value) @property @pulumi.getter(name="evictionPolicy") def eviction_policy(self) -> Optional[pulumi.Input[str]]: """ Redis eviction policy - default is VolatileLRU. Possible values are `AllKeysLFU`, `AllKeysLRU`, `AllKeysRandom`, `VolatileLRU`, `VolatileLFU`, `VolatileTTL`, `VolatileRandom` and `NoEviction`. Defaults to `VolatileLRU`. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "eviction_policy") @eviction_policy.setter def eviction_policy(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "eviction_policy", value) @property @pulumi.getter def modules(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['EnterpriseDatabaseModuleArgs']]]]: """ A `module` block as defined below. """ return pulumi.get(self, "modules") @modules.setter def modules(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['EnterpriseDatabaseModuleArgs']]]]): pulumi.set(self, "modules", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name which should be used for this Redis Enterprise Database. Currently the acceptable value for this argument is `default`. Defaults to `default`. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def port(self) -> Optional[pulumi.Input[int]]: """ TCP port of the database endpoint. Specified at create time. Defaults to an available port. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "port") @port.setter def port(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "port", value) @property @pulumi.getter(name="primaryAccessKey") def primary_access_key(self) -> Optional[pulumi.Input[str]]: """ The Primary Access Key for the Redis Enterprise Database Instance. """ return pulumi.get(self, "primary_access_key") @primary_access_key.setter def primary_access_key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "primary_access_key", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> Optional[pulumi.Input[str]]: """ The name of the Resource Group where the Redis Enterprise Database should exist. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter(name="secondaryAccessKey") def secondary_access_key(self) -> Optional[pulumi.Input[str]]: """ The Secondary Access Key for the Redis Enterprise Database Instance. """ return pulumi.get(self, "secondary_access_key") @secondary_access_key.setter def secondary_access_key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "secondary_access_key", value) class EnterpriseDatabase(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, client_protocol: Optional[pulumi.Input[str]] = None, cluster_id: Optional[pulumi.Input[str]] = None, clustering_policy: Optional[pulumi.Input[str]] = None, eviction_policy: Optional[pulumi.Input[str]] = None, modules: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['EnterpriseDatabaseModuleArgs']]]]] = None, name: Optional[pulumi.Input[str]] = None, port: Optional[pulumi.Input[int]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, __props__=None): """ Manages a Redis Enterprise Database. ## Example Usage ```python import pulumi import pulumi_azure as azure example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe") example_enterprise_cluster = azure.redis.EnterpriseCluster("exampleEnterpriseCluster", resource_group_name=example_resource_group.name, location=example_resource_group.location, sku_name="Enterprise_E20-4") example_enterprise_database = azure.redis.EnterpriseDatabase("exampleEnterpriseDatabase", resource_group_name=example_resource_group.name, cluster_id=example_enterprise_cluster.id) ``` ## Import Redis Enterprise Databases can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:redis/enterpriseDatabase:EnterpriseDatabase example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.Cache/redisEnterprise/cluster1/databases/database1 ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] client_protocol: Specifies whether redis clients can connect using TLS-encrypted or plaintext redis protocols. Default is TLS-encrypted. Possible values are `Encrypted` and `Plaintext`. Defaults to `Encrypted`. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[str] cluster_id: The resource id of the Redis Enterprise Cluster to deploy this Redis Enterprise Database. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[str] clustering_policy: Clustering policy - default is OSSCluster. Specified at create time. Possible values are `EnterpriseCluster` and `OSSCluster`. Defaults to `OSSCluster`. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[str] eviction_policy: Redis eviction policy - default is VolatileLRU. Possible values are `AllKeysLFU`, `AllKeysLRU`, `AllKeysRandom`, `VolatileLRU`, `VolatileLFU`, `VolatileTTL`, `VolatileRandom` and `NoEviction`. Defaults to `VolatileLRU`. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['EnterpriseDatabaseModuleArgs']]]] modules: A `module` block as defined below. :param pulumi.Input[str] name: The name which should be used for this Redis Enterprise Database. Currently the acceptable value for this argument is `default`. Defaults to `default`. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[int] port: TCP port of the database endpoint. Specified at create time. Defaults to an available port. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[str] resource_group_name: The name of the Resource Group where the Redis Enterprise Database should exist. Changing this forces a new Redis Enterprise Database to be created. """ ... @overload def __init__(__self__, resource_name: str, args: EnterpriseDatabaseArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Manages a Redis Enterprise Database. ## Example Usage ```python import pulumi import pulumi_azure as azure example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe") example_enterprise_cluster = azure.redis.EnterpriseCluster("exampleEnterpriseCluster", resource_group_name=example_resource_group.name, location=example_resource_group.location, sku_name="Enterprise_E20-4") example_enterprise_database = azure.redis.EnterpriseDatabase("exampleEnterpriseDatabase", resource_group_name=example_resource_group.name, cluster_id=example_enterprise_cluster.id) ``` ## Import Redis Enterprise Databases can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:redis/enterpriseDatabase:EnterpriseDatabase example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.Cache/redisEnterprise/cluster1/databases/database1 ``` :param str resource_name: The name of the resource. :param EnterpriseDatabaseArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(EnterpriseDatabaseArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, client_protocol: Optional[pulumi.Input[str]] = None, cluster_id: Optional[pulumi.Input[str]] = None, clustering_policy: Optional[pulumi.Input[str]] = None, eviction_policy: Optional[pulumi.Input[str]] = None, modules: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['EnterpriseDatabaseModuleArgs']]]]] = None, name: Optional[pulumi.Input[str]] = None, port: Optional[pulumi.Input[int]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = EnterpriseDatabaseArgs.__new__(EnterpriseDatabaseArgs) __props__.__dict__["client_protocol"] = client_protocol if cluster_id is None and not opts.urn: raise TypeError("Missing required property 'cluster_id'") __props__.__dict__["cluster_id"] = cluster_id __props__.__dict__["clustering_policy"] = clustering_policy __props__.__dict__["eviction_policy"] = eviction_policy __props__.__dict__["modules"] = modules __props__.__dict__["name"] = name __props__.__dict__["port"] = port if resource_group_name is None and not opts.urn: raise TypeError("Missing required property 'resource_group_name'") __props__.__dict__["resource_group_name"] = resource_group_name __props__.__dict__["primary_access_key"] = None __props__.__dict__["secondary_access_key"] = None super(EnterpriseDatabase, __self__).__init__( 'azure:redis/enterpriseDatabase:EnterpriseDatabase', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, client_protocol: Optional[pulumi.Input[str]] = None, cluster_id: Optional[pulumi.Input[str]] = None, clustering_policy: Optional[pulumi.Input[str]] = None, eviction_policy: Optional[pulumi.Input[str]] = None, modules: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['EnterpriseDatabaseModuleArgs']]]]] = None, name: Optional[pulumi.Input[str]] = None, port: Optional[pulumi.Input[int]] = None, primary_access_key: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, secondary_access_key: Optional[pulumi.Input[str]] = None) -> 'EnterpriseDatabase': """ Get an existing EnterpriseDatabase resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] client_protocol: Specifies whether redis clients can connect using TLS-encrypted or plaintext redis protocols. Default is TLS-encrypted. Possible values are `Encrypted` and `Plaintext`. Defaults to `Encrypted`. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[str] cluster_id: The resource id of the Redis Enterprise Cluster to deploy this Redis Enterprise Database. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[str] clustering_policy: Clustering policy - default is OSSCluster. Specified at create time. Possible values are `EnterpriseCluster` and `OSSCluster`. Defaults to `OSSCluster`. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[str] eviction_policy: Redis eviction policy - default is VolatileLRU. Possible values are `AllKeysLFU`, `AllKeysLRU`, `AllKeysRandom`, `VolatileLRU`, `VolatileLFU`, `VolatileTTL`, `VolatileRandom` and `NoEviction`. Defaults to `VolatileLRU`. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['EnterpriseDatabaseModuleArgs']]]] modules: A `module` block as defined below. :param pulumi.Input[str] name: The name which should be used for this Redis Enterprise Database. Currently the acceptable value for this argument is `default`. Defaults to `default`. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[int] port: TCP port of the database endpoint. Specified at create time. Defaults to an available port. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[str] primary_access_key: The Primary Access Key for the Redis Enterprise Database Instance. :param pulumi.Input[str] resource_group_name: The name of the Resource Group where the Redis Enterprise Database should exist. Changing this forces a new Redis Enterprise Database to be created. :param pulumi.Input[str] secondary_access_key: The Secondary Access Key for the Redis Enterprise Database Instance. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _EnterpriseDatabaseState.__new__(_EnterpriseDatabaseState) __props__.__dict__["client_protocol"] = client_protocol __props__.__dict__["cluster_id"] = cluster_id __props__.__dict__["clustering_policy"] = clustering_policy __props__.__dict__["eviction_policy"] = eviction_policy __props__.__dict__["modules"] = modules __props__.__dict__["name"] = name __props__.__dict__["port"] = port __props__.__dict__["primary_access_key"] = primary_access_key __props__.__dict__["resource_group_name"] = resource_group_name __props__.__dict__["secondary_access_key"] = secondary_access_key return EnterpriseDatabase(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="clientProtocol") def client_protocol(self) -> pulumi.Output[Optional[str]]: """ Specifies whether redis clients can connect using TLS-encrypted or plaintext redis protocols. Default is TLS-encrypted. Possible values are `Encrypted` and `Plaintext`. Defaults to `Encrypted`. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "client_protocol") @property @pulumi.getter(name="clusterId") def cluster_id(self) -> pulumi.Output[str]: """ The resource id of the Redis Enterprise Cluster to deploy this Redis Enterprise Database. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "cluster_id") @property @pulumi.getter(name="clusteringPolicy") def clustering_policy(self) -> pulumi.Output[Optional[str]]: """ Clustering policy - default is OSSCluster. Specified at create time. Possible values are `EnterpriseCluster` and `OSSCluster`. Defaults to `OSSCluster`. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "clustering_policy") @property @pulumi.getter(name="evictionPolicy") def eviction_policy(self) -> pulumi.Output[Optional[str]]: """ Redis eviction policy - default is VolatileLRU. Possible values are `AllKeysLFU`, `AllKeysLRU`, `AllKeysRandom`, `VolatileLRU`, `VolatileLFU`, `VolatileTTL`, `VolatileRandom` and `NoEviction`. Defaults to `VolatileLRU`. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "eviction_policy") @property @pulumi.getter def modules(self) -> pulumi.Output[Optional[Sequence['outputs.EnterpriseDatabaseModule']]]: """ A `module` block as defined below. """ return pulumi.get(self, "modules") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ The name which should be used for this Redis Enterprise Database. Currently the acceptable value for this argument is `default`. Defaults to `default`. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "name") @property @pulumi.getter def port(self) -> pulumi.Output[Optional[int]]: """ TCP port of the database endpoint. Specified at create time. Defaults to an available port. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "port") @property @pulumi.getter(name="primaryAccessKey") def primary_access_key(self) -> pulumi.Output[str]: """ The Primary Access Key for the Redis Enterprise Database Instance. """ return pulumi.get(self, "primary_access_key") @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Output[str]: """ The name of the Resource Group where the Redis Enterprise Database should exist. Changing this forces a new Redis Enterprise Database to be created. """ return pulumi.get(self, "resource_group_name") @property @pulumi.getter(name="secondaryAccessKey") def secondary_access_key(self) -> pulumi.Output[str]: """ The Secondary Access Key for the Redis Enterprise Database Instance. """ return pulumi.get(self, "secondary_access_key")

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8

ad779be1f5e86d684093783630faab91c1c8003c

506

py

Python

test/test_pycron.py

mutalisk999/pycron

8aba4c58a77179cdce6045913661e802592fb8e5

[ "MIT" ]

null

test/test_pycron.py

mutalisk999/pycron

8aba4c58a77179cdce6045913661e802592fb8e5

[ "MIT" ]

null

test/test_pycron.py

mutalisk999/pycron

8aba4c58a77179cdce6045913661e802592fb8e5

[ "MIT" ]

null

import sys, time, pycron print pycron.last_cronexpr_time("0 * * * * ?", int(time.time())) print pycron.next_cronexpr_time("0 * * * * ?", int(time.time())) print pycron.last_cronexpr_time("0/5 * * * * ?", int(time.time())) print pycron.next_cronexpr_time("0/5 * * * * ?", int(time.time())) print pycron.last_cronexpr_time("1,2,3 * * * * ?", int(time.time())) print pycron.next_cronexpr_time("1,2,3 * * * * ?", int(time.time())) ''' 1478964180 1478964240 1478964235 1478964240 1478964183 1478964241 '''

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506

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1

0

8

ad7e4dad4217d19180f5806fa1b40042ba76ea2c

6,734

py

Python

test/modules/shogi_input_test.py

nakanishi-m/slack-shogi

c1046cc8fb2d0f5164446b4370a55e2f11eb932c

[ "MIT" ]

41

2016-07-18T14:50:10.000Z

2021-12-16T03:20:15.000Z

test/modules/shogi_input_test.py

nakanishi-m/slack-shogi

c1046cc8fb2d0f5164446b4370a55e2f11eb932c

[ "MIT" ]

96

2016-07-16T16:11:23.000Z

2021-07-06T05:27:10.000Z

test/modules/shogi_input_test.py

setokinto/slack-shogi

a026fdb5e0acb5573230e26ec08e6cf9a8759f5e

[ "MIT" ]

6

2017-01-04T06:33:50.000Z

2018-10-25T02:19:09.000Z

import unittest from app.modules.shogi_input import ShogiInput, UserDifferentException, KomaCannotMoveException from app.modules.shogi import Koma class ShogiTest(unittest.TestCase): def setUp(self): pass def test_shogi_input_is_initable(self): shogi = ShogiInput.init("channel_id", [{ "id": "user1", "name": "user1name", }, { "id": "user2", "name": "user2name", } ]) self.assertEqual(shogi.channel_id, "channel_id") shogi = ShogiInput.init("channel_id", [{ "id": "user1", "name": "user1name", }, { "id": "user2", "name": "user2name", } ]) self.assertIsNone(shogi) ShogiInput.clear("channel_id") shogi = ShogiInput.init("channel_id", [{ "id": "user1", "name": "user1name", }, { "id": "user2", "name": "user2name", } ]) self.assertEqual(shogi.channel_id, "channel_id") def test_clear_for_non_exists_channnel(self): self.assertIsNone(ShogiInput.clear("channel_id_non_exists")) def test_move_method_should_work(self): channel_id = "test_move_method_should_work" shogi = ShogiInput.init(channel_id, [{ "id": "user1", "name": "user1name", }, { "id": "user2", "name": "user2name", }]) ShogiInput.move("76歩", channel_id, shogi.first_user.id) self.assertEqual(shogi.board[5][2], Koma.fu) def test_move_method_should_raise_UserDifferentException(self): channel_id = "test_move_method_should_raise_UserDifferentException" shogi = ShogiInput.init(channel_id, [{ "id": "user1", "name": "user1name", }, { "id": "user2", "name": "user2name", }]) with self.assertRaises(UserDifferentException): ShogiInput.move("76歩", channel_id, shogi.second_user.id) with self.assertRaises(UserDifferentException): ShogiInput.move("76歩", channel_id, shogi.second_user.id) def test_move_method_should_raise_KomaCannotMoveException(self): channel_id = "test_move_method_should_raise_KomaCannotMoveException" shogi = ShogiInput.init(channel_id, [{ "id": "user1", "name": "user1name", }, { "id": "user2", "name": "user2name", }]) with self.assertRaises(KomaCannotMoveException): ShogiInput.move("75歩", channel_id, shogi.first_user.id) with self.assertRaises(KomaCannotMoveException): ShogiInput.move("34歩", channel_id, shogi.first_user.id) with self.assertRaises(KomaCannotMoveException): ShogiInput.move("15151歩", channel_id, shogi.first_user.id) with self.assertRaises(KomaCannotMoveException): ShogiInput.move("Wow, it's great.", channel_id, shogi.first_user.id) def test_set_any_user_validator(self): channel_id = "test_set_validotr" shogi = ShogiInput.init(channel_id, [{ "id": "user1", "name": "user1name", }, { "id": "user2", "name": "user2name", }]) ShogiInput.move("76歩", channel_id, shogi.first_user.id) with self.assertRaises(UserDifferentException): ShogiInput.move("34歩", channel_id, shogi.first_user.id) ShogiInput.setAllMode(channel_id) ShogiInput.move("34歩", channel_id, shogi.first_user.id) def test_matta(self): channel_id = "test_matta" shogi = ShogiInput.init(channel_id, [{ "id": "user1", "name": "user1name", }, { "id": "user2", "name": "user2name", }]) ShogiInput.move("76歩", channel_id, shogi.first_user.id) self.assertEqual(shogi.board[5][2], Koma.fu) ShogiInput.matta(channel_id, shogi.second_user.id) self.assertEqual(shogi.board[5][2], Koma.empty) ShogiInput.move("76歩", channel_id, shogi.first_user.id) self.assertEqual(shogi.board[5][2], Koma.fu) def test_matta_for_UserDifferentException(self): channel_id = "test_matta_for_UserDifferentException" shogi = ShogiInput.init(channel_id, [{ "id": "user1", "name": "user1name", }, { "id": "user2", "name": "user2name", }]) ShogiInput.move("76歩", channel_id, shogi.first_user.id) self.assertEqual(shogi.board[5][2], Koma.fu) with self.assertRaises(UserDifferentException): ShogiInput.matta(channel_id, shogi.first_user.id) ShogiInput.move("34歩", channel_id, shogi.second_user.id) with self.assertRaises(UserDifferentException): ShogiInput.matta(channel_id, shogi.second_user.id) def test_matta_for_KomaCannotMoveException(self): channel_id = "test_matta_for_KomaCannotMoveException" shogi = ShogiInput.init(channel_id, [{ "id": "user1", "name": "user1name", }, { "id": "user2", "name": "user2name", }]) with self.assertRaises(KomaCannotMoveException): ShogiInput.matta(channel_id, shogi.first_user.id) def test_matta_for_drop_komas(self): channel_id = "test_matta_for_da_komas" shogi = ShogiInput.init(channel_id, [{ "id": "user1", "name": "user1name", }, { "id": "user2", "name": "user2name", }]) ShogiInput.move("76歩", channel_id, shogi.first_user.id) ShogiInput.move("34歩", channel_id, shogi.second_user.id) ShogiInput.move("22角", channel_id, shogi.first_user.id) ShogiInput.move("同銀", channel_id, shogi.second_user.id) ShogiInput.move("55角打", channel_id, shogi.first_user.id) ShogiInput.move("33角打", channel_id, shogi.second_user.id) ShogiInput.matta(channel_id, shogi.first_user.id) ShogiInput.matta(channel_id, shogi.second_user.id) ShogiInput.move("55角打", channel_id, shogi.first_user.id) ShogiInput.move("33角打", channel_id, shogi.second_user.id) self.assertEqual(shogi.board[4][4], Koma.kaku) self.assertEqual(shogi.board[2][6], Koma.opponent_kaku) def test_try_to_get_shogi_board(self): channel_id = "test_try_to_get_shogi_board" shogi = ShogiInput.init(channel_id, [{ "id": "user1", "name": "user1name", }, { "id": "user2", "name": "user2name", }]) ShogiInput.get_shogi_board(channel_id)

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null

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7

d100cd12312264959100d1ca4c0d0c85306c73b2

384

py

Python

word_vectorizer/exceptions/vector_not_computed_exception.py

RodSernaPerez/WordVectorizer

097b2ccfc284b39ad43f56047ee25e393b7525ec

[ "ECL-2.0", "Apache-2.0" ]

null

word_vectorizer/exceptions/vector_not_computed_exception.py

RodSernaPerez/WordVectorizer

097b2ccfc284b39ad43f56047ee25e393b7525ec

[ "ECL-2.0", "Apache-2.0" ]

null

word_vectorizer/exceptions/vector_not_computed_exception.py

RodSernaPerez/WordVectorizer

097b2ccfc284b39ad43f56047ee25e393b7525ec

[ "ECL-2.0", "Apache-2.0" ]

null

"""VectorNotComputedException Exception raised when the vector of a word could not be gotten (typically the word does not appear in the model vocabulary.""" class VectorNotComputedException(Exception): """VectorNotComputedException Exception raised when the vector of a word could not be gotten (typically the word does not appear in the model vocabulary.""" pass

29.538462

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0f5f0ccd193301b6995a9dac57ab913562c28e03

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py

Python

Packs/Sixgill-Darkfeed/Integrations/Sixgill_DVE_Feed/Sixgill_DVE_Feed_test.py

keremvatandas/content

550d6252601310e48cea077b539823f3c8becb6b

[ "MIT" ]

2

2020-07-27T10:35:41.000Z

2020-12-14T15:44:18.000Z

Packs/Sixgill-Darkfeed/Integrations/Sixgill_DVE_Feed/Sixgill_DVE_Feed_test.py

Axonius/content

e058add82b7422338015cf14591512b9aad4d3e9

[ "MIT" ]

48

2022-03-08T13:45:00.000Z

2022-03-31T14:32:05.000Z

Packs/Sixgill-Darkfeed/Integrations/Sixgill_DVE_Feed/Sixgill_DVE_Feed_test.py

adambaumeister/content

c6808d0b13d00edc4cd6268793c2ae0c2e39aed6

[ "MIT" ]

1

2022-01-06T07:09:11.000Z

import requests import pytest import json import demistomock as demisto bundle_index = 0 submitted_indicators = 0 mocked_get_token_response = """{"access_token": "fababfafbh"}""" iocs_bundle = [ { "id": "bundle--f00374ec-429c-40cb-b7bb-61f920814775", "objects": [ { "created": "2017-01-20T00:00:00.000Z", "definition": {"tlp": "amber"}, "definition_type": "tlp", "id": "marking-definition--f88d31f6-486f-44da-b317-01333bde0b82", "type": "marking-definition", }, { "created": "2019-12-26T00:00:00Z", "definition": {"statement": "Copyright Sixgill 2020. All rights reserved."}, "definition_type": "statement", "id": "marking-definition--41eaaf7c-0bc0-4c56-abdf-d89a7f096ac4", "type": "marking-definition", }, { "created": "2020-09-06T20:33:33.538Z", "external_references": [{"external_id": "CVE-2020-15392", "source_name": "cve"}], "id": "cveevent--a26f4710-0d64-4a76-ae27-6ac038e7536b", "modified": "2020-09-06T20:33:33.538Z", "object_marking_refs": [ "marking-definition--41eaaf7c-0bc0-4c56-abdf-d89a7f096ac4", "marking-definition--f88d31f6-486f-44da-b317-01333bde0b82", ], "spec_version": "2.0", "type": "x-cybersixgill-com-cve-event", "x_sixgill_info": { "event": { "_id": "5f1f17164731b1cef86c8aaf", "action": "trend", "description": "Trend of Github commits related to CVE-2020-15392", "event_datetime": "2020-06-30T00:00Z", "name": "trend_Github_commits", "prev_level": "prev_level", "type": "github_authoring", }, "nvd": { "base_score_v3": 5.3, "base_severity_v3": "MEDIUM", "link": "https://nvd.nist.gov/vuln/detail/CVE-2020-15392", "modified": "2020-07-15T16:52Z", "published": "2020-07-07T14:15Z", "score_2_0": 5.0, "severity_2_0": "MEDIUM", "vector_v2": "AV:N/AC:L/Au:N/C:P/I:N/A:N", "vector_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N", }, "score": { "current": 0.02, "highest": {"date": "2020-07-27T00:00Z", "value": 0.02}, "previouslyExploited": 0.07, }, }, }, { "created": "2020-08-19T23:08:05.709Z", "external_references": [{"external_id": "CVE-2020-2021", "source_name": "cve"}], "id": "cveevent--9c735811-6e08-44d8-a844-75acb10d79b9", "modified": "2020-08-19T23:08:05.709Z", "object_marking_refs": [ "marking-definition--41eaaf7c-0bc0-4c56-abdf-d89a7f096ac4", "marking-definition--f88d31f6-486f-44da-b317-01333bde0b82", ], "spec_version": "2.0", "type": "x-cybersixgill-com-cve-event", "x_sixgill_info": { "event": { "_id": "5f3db0ec3ecfe5a6d70b6245", "action": "trend", "description": "CVE-2020-2021 is trending on Twitter.", "event_datetime": "2020-06-30T00:00Z", "name": "trend_Twitter", "prev_level": "prev_level", "type": "dark_mention", }, "nvd": { "base_score_v3": 10.0, "base_severity_v3": "CRITICAL", "link": "https://nvd.nist.gov/vuln/detail/CVE-2020-2021", "modified": "2020-07-06T14:39Z", "published": "2020-06-29T15:15Z", "score_2_0": 9.3, "severity_2_0": "HIGH", "vector_v2": "AV:N/AC:M/Au:N/C:C/I:C/A:C", "vector_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H", }, "score": { "current": 9.13, "highest": {"date": "2020-07-14T00:00Z", "value": 9.25}, "previouslyExploited": 5.32, }, }, }, { "created": "2020-08-19T23:08:05.709Z", "external_references": [{"external_id": "CVE-2020-12828", "source_name": "cve"}], "id": "cveevent--dffdcd6b-2157-4652-b7eb-4ce4bb9eebc5", "modified": "2020-08-19T23:08:05.709Z", "object_marking_refs": [ "marking-definition--41eaaf7c-0bc0-4c56-abdf-d89a7f096ac4", "marking-definition--f88d31f6-486f-44da-b317-01333bde0b82", ], "spec_version": "2.0", "type": "x-cybersixgill-com-cve-event", "x_sixgill_info": { "event": { "_id": "5f3db0ec3ecfe5a6d70b6274", "action": "trend", "description": "CVE-2020-12828 is trending on Twitter.", "event_datetime": "2020-06-30T00:00Z", "name": "trend_Twitter", "prev_level": "prev_level", "type": "dark_mention", }, "nvd": { "base_score_v3": 9.8, "base_severity_v3": "CRITICAL", "link": "https://nvd.nist.gov/vuln/detail/CVE-2020-12828", "modified": "2020-06-02T16:55Z", "published": "2020-05-21T17:15Z", "score_2_0": 10.0, "severity_2_0": "HIGH", "vector_v2": "AV:N/AC:L/Au:N/C:C/I:C/A:C", "vector_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", }, "score": { "current": 8.33, "highest": {"date": "2020-07-25T00:00Z", "value": 8.4}, "previouslyExploited": 5.07, }, }, }, { "created": "2020-08-19T23:08:05.709Z", "external_references": [{"external_id": "CVE-2020-9771", "source_name": "cve"}], "id": "cveevent--4b86077c-99f6-42ca-8b4d-953411fa17bd", "modified": "2020-08-19T23:08:05.709Z", "object_marking_refs": [ "marking-definition--41eaaf7c-0bc0-4c56-abdf-d89a7f096ac4", "marking-definition--f88d31f6-486f-44da-b317-01333bde0b82", ], "spec_version": "2.0", "type": "x-cybersixgill-com-cve-event", "x_sixgill_info": { "event": { "_id": "5f3db0ec3ecfe5a6d70b627c", "action": "trend", "description": "CVE-2020-9771 is trending on Twitter.", "event_datetime": "2020-06-30T00:00Z", "name": "trend_Twitter", "prev_level": "prev_level", "type": "dark_mention", }, "nvd": { "base_score_v3": None, "base_severity_v3": None, "link": "https://nvd.nist.gov/vuln/detail/CVE-2020-9771", "modified": None, "published": None, "score_2_0": None, "severity_2_0": None, "vector_v2": "None", "vector_v3": "None", }, "score": {"current": None, "highest": {"date": None, "value": None}, "previouslyExploited": None}, }, }, { "created": "2020-08-25T17:16:52.536Z", "external_references": [{"external_id": "CVE-2015-6086", "source_name": "cve"}], "id": "cveevent--1d6320f1-8b22-48e2-876d-5e31b9d36288", "modified": "2020-08-25T17:16:52.536Z", "object_marking_refs": [ "marking-definition--41eaaf7c-0bc0-4c56-abdf-d89a7f096ac4", "marking-definition--f88d31f6-486f-44da-b317-01333bde0b82", ], "spec_version": "2.0", "type": "x-cybersixgill-com-cve-event", "x_sixgill_info": { "event": { "_id": "5f454784ffebcfa91197c9d0", "action": "modified", "description": "Sixgill Current score of CVE-2015-6086 changed from Low to None.", "event_datetime": "2020-06-30T00:00Z", "level": "None", "name": "Sixgill_score_level_change", "prev_level": "prev_level", "type": "score_level", }, "nvd": { "base_score_v3": None, "base_severity_v3": None, "link": "https://nvd.nist.gov/vuln/detail/CVE-2015-6086", "modified": "2018-10-12T22:10Z", "published": "2015-11-11T12:59Z", "score_2_0": 4.3, "severity_2_0": "MEDIUM", "vector_v2": "AV:N/AC:M/Au:N/C:P/I:N/A:N", "vector_v3": "None", }, "score": { "current": None, "highest": {"date": "2016-04-14T00:00Z", "value": 7.02}, "previouslyExploited": 1.51, }, }, }, { "created": "2020-08-25T17:16:52.536Z", "external_references": [{"external_id": "CVE-2015-6086", "source_name": "cve"}], "id": "cveevent--1d6320f1-8b22-48e2-876d-5e31b9d36288", "modified": "2020-08-25T17:16:52.536Z", "object_marking_refs": [ "marking-definition--41eaaf7c-0bc0-4c56-abdf-d89a7f096ac4", "marking-definition--f88d31f6-486f-44da-b317-01333bde0b82", ], "spec_version": "2.0", "type": "x-cybersixgill-com-cve-event", "x_sixgill_info": { "event": { "_id": "5f454784ffebcfa91197c9d0", "action": "modified", "description": "Sixgill Current score of CVE-2015-6086 changed from Low to None.", "event_datetime": "2020-06-30T00:00Z", "level": "None", "name": "Sixgill_score_level_change", "prev_level": "prev_level", "type": "score_level", }, "nvd": { "base_score_v3": None, "base_severity_v3": None, "link": "https://nvd.nist.gov/vuln/detail/CVE-2015-6086", "modified": "2018-10-12T22:10Z", "published": "2015-11-11T12:59Z", "score_2_0": 4.3, "severity_2_0": "MEDIUM", "vector_v2": "AV:N/AC:M/Au:N/C:P/I:N/A:N", "vector_v3": "None", }, "score": { "current": None, "highest": {"date": "2016-04-14T00:00Z", "value": 7.02}, "previouslyExploited": 1.51, }, }, }, ], "spec_version": "2.0", "type": "bundle", }, { "id": "bundle--f00374ec-429c-40cb-b7bb-61f920814775", "objects": [ { "created": "2017-01-20T00:00:00.000Z", "definition": {"tlp": "amber"}, "definition_type": "tlp", "id": "marking-definition--f88d31f6-486f-44da-b317-01333bde0b82", "type": "marking-definition", }, { "created": "2019-12-26T00:00:00Z", "definition": {"statement": "Copyright Sixgill 2020. All rights reserved."}, "definition_type": "statement", "id": "marking-definition--41eaaf7c-0bc0-4c56-abdf-d89a7f096ac4", "type": "marking-definition", }, ], "spec_version": "2.0", "type": "bundle", }, ] expected_ioc_output = [ { "value": "CVE-2020-15392", "type": "CVE", "rawJSON": { "value": "CVE-2020-15392", "type": "x-cybersixgill-com-cve-event", "created": "2020-09-06T20:33:33.538Z", "external_references": [{"external_id": "CVE-2020-15392", "source_name": "cve"}], "id": "cveevent--a26f4710-0d64-4a76-ae27-6ac038e7536b", "modified": "2020-09-06T20:33:33.538Z", "object_marking_refs": [ "marking-definition--41eaaf7c-0bc0-4c56-abdf-d89a7f096ac4", "marking-definition--f88d31f6-486f-44da-b317-01333bde0b82", ], "spec_version": "2.0", "x_sixgill_info": { "event": { "_id": "5f1f17164731b1cef86c8aaf", "action": "trend", "description": "Trend of Github commits related to CVE-2020-15392", "event_datetime": "2020-06-30T00:00Z", "name": "trend_Github_commits", "prev_level": "prev_level", "type": "github_authoring", }, "nvd": { "base_score_v3": 5.3, "base_severity_v3": "MEDIUM", "link": "https://nvd.nist.gov/vuln/detail/CVE-2020-15392", "modified": "2020-07-15T16:52Z", "published": "2020-07-07T14:15Z", "score_2_0": 5.0, "severity_2_0": "MEDIUM", "vector_v2": "AV:N/AC:L/Au:N/C:P/I:N/A:N", "vector_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N", }, "score": { "current": 0.02, "highest": {"date": "2020-07-27T00:00Z", "value": 0.02}, "previouslyExploited": 0.07, }, }, }, "score": "3", "fields": { "description": """Description: Trend of Github commits related to CVE-2020-15392 Created: 2020-09-06T20:33:33.538Z Modified: 2020-09-06T20:33:33.538Z External id: CVE-2020-15392 Sixgill DVE score - current: 0.02 Sixgill DVE score - highest ever date: 2020-07-27T00:00Z Sixgill DVE score - highest ever: 0.02 Sixgill - Previously exploited probability: 0.07 Event Name: trend_Github_commits Event Type: github_authoring Event Action: trend Previous level: prev_level Event Description: Trend of Github commits related to CVE-2020-15392 Event Datetime: 2020-06-30T00:00Z CVSS 3.1 score: 5.3 CVSS 3.1 severity: MEDIUM NVD Link: https://nvd.nist.gov/vuln/detail/CVE-2020-15392 NVD - last modified date: 2020-07-15T16:52Z NVD - publication date: 2020-07-07T14:15Z CVSS 2.0 score: 5.0 CVSS 2.0 severity: MEDIUM NVD Vector - V2.0: AV:N/AC:L/Au:N/C:P/I:N/A:N NVD Vector - V3.1: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N """, "creationdate": "2020-09-06T20:33:33.538Z", "modified": "2020-09-06T20:33:33.538Z", "externalid": "CVE-2020-15392", "sixgilldvescorecurrent": 0.02, "sixgilldvescorehighesteverdate": "2020-07-27T00:00Z", "sixgilldvescorehighestever": 0.02, "sixgillpreviouslyexploitedprobability": 0.07, "eventname": "trend_Github_commits", "eventtype": "github_authoring", "eventaction": "trend", "previouslevel": "prev_level", "eventdescription": "Trend of Github commits related to CVE-2020-15392", "eventdatetime": "2020-06-30T00:00Z", "cvss31score": 5.3, "cvss31severity": "MEDIUM", "nvdlink": "https://nvd.nist.gov/vuln/detail/CVE-2020-15392", "nvdlastmodifieddate": "2020-07-15T16:52Z", "nvdpublicationdate": "2020-07-07T14:15Z", "cvss20score": 5.0, "cvss20severity": "MEDIUM", "nvdvectorv20": "AV:N/AC:L/Au:N/C:P/I:N/A:N", "nvdvectorv31": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N", }, }, { "value": "CVE-2020-2021", "type": "CVE", "rawJSON": { "value": "CVE-2020-2021", "type": "x-cybersixgill-com-cve-event", "created": "2020-08-19T23:08:05.709Z", "external_references": [{"external_id": "CVE-2020-2021", "source_name": "cve"}], "id": "cveevent--9c735811-6e08-44d8-a844-75acb10d79b9", "modified": "2020-08-19T23:08:05.709Z", "object_marking_refs": [ "marking-definition--41eaaf7c-0bc0-4c56-abdf-d89a7f096ac4", "marking-definition--f88d31f6-486f-44da-b317-01333bde0b82", ], "spec_version": "2.0", "x_sixgill_info": { "event": { "_id": "5f3db0ec3ecfe5a6d70b6245", "action": "trend", "description": "CVE-2020-2021 is trending on Twitter.", "event_datetime": "2020-06-30T00:00Z", "name": "trend_Twitter", "prev_level": "prev_level", "type": "dark_mention", }, "nvd": { "base_score_v3": 10, "base_severity_v3": "CRITICAL", "link": "https://nvd.nist.gov/vuln/detail/CVE-2020-2021", "modified": "2020-07-06T14:39Z", "published": "2020-06-29T15:15Z", "score_2_0": 9.3, "severity_2_0": "HIGH", "vector_v2": "AV:N/AC:M/Au:N/C:C/I:C/A:C", "vector_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H", }, "score": { "current": 9.13, "highest": {"date": "2020-07-14T00:00Z", "value": 9.25}, "previouslyExploited": 5.32, }, }, }, "score": "3", "fields": { "description": """Description: CVE-2020-2021 is trending on Twitter. Created: 2020-08-19T23:08:05.709Z Modified: 2020-08-19T23:08:05.709Z External id: CVE-2020-2021 Sixgill DVE score - current: 9.13 Sixgill DVE score - highest ever date: 2020-07-14T00:00Z Sixgill DVE score - highest ever: 9.25 Sixgill - Previously exploited probability: 5.32 Event Name: trend_Twitter Event Type: dark_mention Event Action: trend Previous level: prev_level Event Description: CVE-2020-2021 is trending on Twitter. Event Datetime: 2020-06-30T00:00Z CVSS 3.1 score: 10.0 CVSS 3.1 severity: CRITICAL NVD Link: https://nvd.nist.gov/vuln/detail/CVE-2020-2021 NVD - last modified date: 2020-07-06T14:39Z NVD - publication date: 2020-06-29T15:15Z CVSS 2.0 score: 9.3 CVSS 2.0 severity: HIGH NVD Vector - V2.0: AV:N/AC:M/Au:N/C:C/I:C/A:C NVD Vector - V3.1: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H """, "creationdate": "2020-08-19T23:08:05.709Z", "modified": "2020-08-19T23:08:05.709Z", "externalid": "CVE-2020-2021", "sixgilldvescorecurrent": 9.13, "sixgilldvescorehighesteverdate": "2020-07-14T00:00Z", "sixgilldvescorehighestever": 9.25, "sixgillpreviouslyexploitedprobability": 5.32, "eventname": "trend_Twitter", "eventtype": "dark_mention", "eventaction": "trend", "previouslevel": "prev_level", "eventdescription": "CVE-2020-2021 is trending on Twitter.", "eventdatetime": "2020-06-30T00:00Z", "cvss31score": 10.0, "cvss31severity": "CRITICAL", "nvdlink": "https://nvd.nist.gov/vuln/detail/CVE-2020-2021", "nvdlastmodifieddate": "2020-07-06T14:39Z", "nvdpublicationdate": "2020-06-29T15:15Z", "cvss20score": 9.3, "cvss20severity": "HIGH", "nvdvectorv20": "AV:N/AC:M/Au:N/C:C/I:C/A:C", "nvdvectorv31": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H", }, }, { "value": "CVE-2020-12828", "type": "CVE", "rawJSON": { "value": "CVE-2020-12828", "type": "x-cybersixgill-com-cve-event", "created": "2020-08-19T23:08:05.709Z", "external_references": [{"external_id": "CVE-2020-12828", "source_name": "cve"}], "id": "cveevent--dffdcd6b-2157-4652-b7eb-4ce4bb9eebc5", "modified": "2020-08-19T23:08:05.709Z", "object_marking_refs": [ "marking-definition--41eaaf7c-0bc0-4c56-abdf-d89a7f096ac4", "marking-definition--f88d31f6-486f-44da-b317-01333bde0b82", ], "spec_version": "2.0", "x_sixgill_info": { "event": { "_id": "5f3db0ec3ecfe5a6d70b6274", "action": "trend", "description": "CVE-2020-12828 is trending on Twitter.", "event_datetime": "2020-06-30T00:00Z", "name": "trend_Twitter", "prev_level": "prev_level", "type": "dark_mention", }, "nvd": { "base_score_v3": 9.8, "base_severity_v3": "CRITICAL", "link": "https://nvd.nist.gov/vuln/detail/CVE-2020-12828", "modified": "2020-06-02T16:55Z", "published": "2020-05-21T17:15Z", "score_2_0": 10.0, "severity_2_0": "HIGH", "vector_v2": "AV:N/AC:L/Au:N/C:C/I:C/A:C", "vector_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", }, "score": { "current": 8.33, "highest": {"date": "2020-07-25T00:00Z", "value": 8.4}, "previouslyExploited": 5.07, }, }, }, "score": "3", "fields": { "description": """Description: CVE-2020-12828 is trending on Twitter. Created: 2020-08-19T23:08:05.709Z Modified: 2020-08-19T23:08:05.709Z External id: CVE-2020-12828 Sixgill DVE score - current: 8.33 Sixgill DVE score - highest ever date: 2020-07-25T00:00Z Sixgill DVE score - highest ever: 8.4 Sixgill - Previously exploited probability: 5.07 Event Name: trend_Twitter Event Type: dark_mention Event Action: trend Previous level: prev_level Event Description: CVE-2020-12828 is trending on Twitter. Event Datetime: 2020-06-30T00:00Z CVSS 3.1 score: 9.8 CVSS 3.1 severity: CRITICAL NVD Link: https://nvd.nist.gov/vuln/detail/CVE-2020-12828 NVD - last modified date: 2020-06-02T16:55Z NVD - publication date: 2020-05-21T17:15Z CVSS 2.0 score: 10.0 CVSS 2.0 severity: HIGH NVD Vector - V2.0: AV:N/AC:L/Au:N/C:C/I:C/A:C NVD Vector - V3.1: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H """, "creationdate": "2020-08-19T23:08:05.709Z", "modified": "2020-08-19T23:08:05.709Z", "externalid": "CVE-2020-12828", "sixgilldvescorecurrent": 8.33, "sixgilldvescorehighesteverdate": "2020-07-25T00:00Z", "sixgilldvescorehighestever": 8.4, "sixgillpreviouslyexploitedprobability": 5.07, "eventname": "trend_Twitter", "eventtype": "dark_mention", "eventaction": "trend", "previouslevel": "prev_level", "eventdescription": "CVE-2020-12828 is trending on Twitter.", "eventdatetime": "2020-06-30T00:00Z", "cvss31score": 9.8, "cvss31severity": "CRITICAL", "nvdlink": "https://nvd.nist.gov/vuln/detail/CVE-2020-12828", "nvdlastmodifieddate": "2020-06-02T16:55Z", "nvdpublicationdate": "2020-05-21T17:15Z", "cvss20score": 10.0, "cvss20severity": "HIGH", "nvdvectorv20": "AV:N/AC:L/Au:N/C:C/I:C/A:C", "nvdvectorv31": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", }, }, { "value": "CVE-2020-9771", "type": "CVE", "rawJSON": { "value": "CVE-2020-9771", "type": "x-cybersixgill-com-cve-event", "created": "2020-08-19T23:08:05.709Z", "external_references": [{"external_id": "CVE-2020-9771", "source_name": "cve"}], "id": "cveevent--4b86077c-99f6-42ca-8b4d-953411fa17bd", "modified": "2020-08-19T23:08:05.709Z", "object_marking_refs": [ "marking-definition--41eaaf7c-0bc0-4c56-abdf-d89a7f096ac4", "marking-definition--f88d31f6-486f-44da-b317-01333bde0b82", ], "spec_version": "2.0", "x_sixgill_info": { "event": { "_id": "5f3db0ec3ecfe5a6d70b627c", "action": "trend", "description": "CVE-2020-9771 is trending on Twitter.", "event_datetime": "2020-06-30T00:00Z", "name": "trend_Twitter", "prev_level": "prev_level", "type": "dark_mention", }, "nvd": { "base_score_v3": None, "base_severity_v3": None, "link": "https://nvd.nist.gov/vuln/detail/CVE-2020-9771", "modified": None, "published": None, "score_2_0": None, "severity_2_0": None, "vector_v2": "None", "vector_v3": "None", }, "score": {"current": None, "highest": {"date": None, "value": None}, "previouslyExploited": None}, }, }, "score": "3", "fields": { "description": """Description: CVE-2020-9771 is trending on Twitter. Created: 2020-08-19T23:08:05.709Z Modified: 2020-08-19T23:08:05.709Z External id: CVE-2020-9771 Sixgill DVE score - current: None Sixgill DVE score - highest ever date: None Sixgill DVE score - highest ever: None Sixgill - Previously exploited probability: None Event Name: trend_Twitter Event Type: dark_mention Event Action: trend Previous level: prev_level Event Description: CVE-2020-9771 is trending on Twitter. Event Datetime: 2020-06-30T00:00Z CVSS 3.1 score: None CVSS 3.1 severity: None NVD Link: https://nvd.nist.gov/vuln/detail/CVE-2020-9771 NVD - last modified date: None NVD - publication date: None CVSS 2.0 score: None CVSS 2.0 severity: None NVD Vector - V2.0: None NVD Vector - V3.1: None """, "creationdate": "2020-08-19T23:08:05.709Z", "modified": "2020-08-19T23:08:05.709Z", "externalid": "CVE-2020-9771", "sixgilldvescorecurrent": None, "sixgilldvescorehighesteverdate": None, "sixgilldvescorehighestever": None, "sixgillpreviouslyexploitedprobability": None, "eventname": "trend_Twitter", "eventtype": "dark_mention", "eventaction": "trend", "previouslevel": "prev_level", "eventdescription": "CVE-2020-9771 is trending on Twitter.", "eventdatetime": "2020-06-30T00:00Z", "cvss31score": None, "cvss31severity": None, "nvdlink": "https://nvd.nist.gov/vuln/detail/CVE-2020-9771", "nvdlastmodifieddate": None, "nvdpublicationdate": None, "cvss20score": None, "cvss20severity": None, "nvdvectorv20": "None", "nvdvectorv31": "None", }, }, { "value": "CVE-2015-6086", "type": "CVE", "rawJSON": { "value": "CVE-2015-6086", "type": "x-cybersixgill-com-cve-event", "created": "2020-08-25T17:16:52.536Z", "external_references": [{"external_id": "CVE-2015-6086", "source_name": "cve"}], "id": "cveevent--1d6320f1-8b22-48e2-876d-5e31b9d36288", "modified": "2020-08-25T17:16:52.536Z", "object_marking_refs": [ "marking-definition--41eaaf7c-0bc0-4c56-abdf-d89a7f096ac4", "marking-definition--f88d31f6-486f-44da-b317-01333bde0b82", ], "spec_version": "2.0", "x_sixgill_info": { "event": { "_id": "5f454784ffebcfa91197c9d0", "action": "modified", "description": "Sixgill Current score of CVE-2015-6086 changed from Low to None.", "event_datetime": "2020-06-30T00:00Z", "level": "None", "name": "Sixgill_score_level_change", "prev_level": "prev_level", "type": "score_level", }, "nvd": { "base_score_v3": None, "base_severity_v3": None, "link": "https://nvd.nist.gov/vuln/detail/CVE-2015-6086", "modified": "2018-10-12T22:10Z", "published": "2015-11-11T12:59Z", "score_2_0": 4.3, "severity_2_0": "MEDIUM", "vector_v2": "AV:N/AC:M/Au:N/C:P/I:N/A:N", "vector_v3": "None", }, "score": { "current": None, "highest": {"date": "2016-04-14T00:00Z", "value": 7.02}, "previouslyExploited": 1.51, }, }, }, "score": "3", "fields": { "description": """Description: Sixgill Current score of CVE-2015-6086 changed from Low to None. Created: 2020-08-25T17:16:52.536Z Modified: 2020-08-25T17:16:52.536Z External id: CVE-2015-6086 Sixgill DVE score - current: None Sixgill DVE score - highest ever date: 2016-04-14T00:00Z Sixgill DVE score - highest ever: 7.02 Sixgill - Previously exploited probability: 1.51 Event Name: Sixgill_score_level_change Event Type: score_level Event Action: modified Previous level: prev_level Event Description: Sixgill Current score of CVE-2015-6086 changed from Low to None. Event Datetime: 2020-06-30T00:00Z CVSS 3.1 score: None CVSS 3.1 severity: None NVD Link: https://nvd.nist.gov/vuln/detail/CVE-2015-6086 NVD - last modified date: 2018-10-12T22:10Z NVD - publication date: 2015-11-11T12:59Z CVSS 2.0 score: 4.3 CVSS 2.0 severity: MEDIUM NVD Vector - V2.0: AV:N/AC:M/Au:N/C:P/I:N/A:N NVD Vector - V3.1: None """, "creationdate": "2020-08-25T17:16:52.536Z", "modified": "2020-08-25T17:16:52.536Z", "externalid": "CVE-2015-6086", "sixgilldvescorecurrent": None, "sixgilldvescorehighesteverdate": "2016-04-14T00:00Z", "sixgilldvescorehighestever": 7.02, "sixgillpreviouslyexploitedprobability": 1.51, "eventname": "Sixgill_score_level_change", "eventtype": "score_level", "eventaction": "modified", "previouslevel": "prev_level", "eventdescription": "Sixgill Current score of CVE-2015-6086 changed from Low to None.", "eventdatetime": "2020-06-30T00:00Z", "cvss31score": None, "cvss31severity": None, "nvdlink": "https://nvd.nist.gov/vuln/detail/CVE-2015-6086", "nvdlastmodifieddate": "2018-10-12T22:10Z", "nvdpublicationdate": "2015-11-11T12:59Z", "cvss20score": 4.3, "cvss20severity": "MEDIUM", "nvdvectorv20": "AV:N/AC:M/Au:N/C:P/I:N/A:N", "nvdvectorv31": "None", }, }, { "value": "CVE-2015-6086", "type": "CVE", "rawJSON": { "value": "CVE-2015-6086", "type": "x-cybersixgill-com-cve-event", "created": "2020-08-25T17:16:52.536Z", "external_references": [{"external_id": "CVE-2015-6086", "source_name": "cve"}], "id": "cveevent--1d6320f1-8b22-48e2-876d-5e31b9d36288", "modified": "2020-08-25T17:16:52.536Z", "object_marking_refs": [ "marking-definition--41eaaf7c-0bc0-4c56-abdf-d89a7f096ac4", "marking-definition--f88d31f6-486f-44da-b317-01333bde0b82", ], "spec_version": "2.0", "x_sixgill_info": { "event": { "_id": "5f454784ffebcfa91197c9d0", "action": "modified", "description": "Sixgill Current score of CVE-2015-6086 changed from Low to None.", "event_datetime": "2020-06-30T00:00Z", "level": "None", "name": "Sixgill_score_level_change", "prev_level": "prev_level", "type": "score_level", }, "nvd": { "base_score_v3": None, "base_severity_v3": None, "link": "https://nvd.nist.gov/vuln/detail/CVE-2015-6086", "modified": "2018-10-12T22:10Z", "published": "2015-11-11T12:59Z", "score_2_0": 4.3, "severity_2_0": "MEDIUM", "vector_v2": "AV:N/AC:M/Au:N/C:P/I:N/A:N", "vector_v3": "None", }, "score": { "current": None, "highest": {"date": "2016-04-14T00:00Z", "value": 7.02}, "previouslyExploited": 1.51, }, }, }, "score": "3", "fields": { "description": """Description: Sixgill Current score of CVE-2015-6086 changed from Low to None. Created: 2020-08-25T17:16:52.536Z Modified: 2020-08-25T17:16:52.536Z External id: CVE-2015-6086 Sixgill DVE score - current: None Sixgill DVE score - highest ever date: 2016-04-14T00:00Z Sixgill DVE score - highest ever: 7.02 Sixgill - Previously exploited probability: 1.51 Event Name: Sixgill_score_level_change Event Type: score_level Event Action: modified Previous level: prev_level Event Description: Sixgill Current score of CVE-2015-6086 changed from Low to None. Event Datetime: 2020-06-30T00:00Z CVSS 3.1 score: None CVSS 3.1 severity: None NVD Link: https://nvd.nist.gov/vuln/detail/CVE-2015-6086 NVD - last modified date: 2018-10-12T22:10Z NVD - publication date: 2015-11-11T12:59Z CVSS 2.0 score: 4.3 CVSS 2.0 severity: MEDIUM NVD Vector - V2.0: AV:N/AC:M/Au:N/C:P/I:N/A:N NVD Vector - V3.1: None """, "creationdate": "2020-08-25T17:16:52.536Z", "modified": "2020-08-25T17:16:52.536Z", "externalid": "CVE-2015-6086", "sixgilldvescorecurrent": None, "sixgilldvescorehighesteverdate": "2016-04-14T00:00Z", "sixgilldvescorehighestever": 7.02, "sixgillpreviouslyexploitedprobability": 1.51, "eventname": "Sixgill_score_level_change", "eventtype": "score_level", "eventaction": "modified", "previouslevel": "prev_level", "eventdescription": "Sixgill Current score of CVE-2015-6086 changed from Low to None.", "eventdatetime": "2020-06-30T00:00Z", "cvss31score": None, "cvss31severity": None, "nvdlink": "https://nvd.nist.gov/vuln/detail/CVE-2015-6086", "nvdlastmodifieddate": "2018-10-12T22:10Z", "nvdpublicationdate": "2015-11-11T12:59Z", "cvss20score": 4.3, "cvss20severity": "MEDIUM", "nvdvectorv20": "AV:N/AC:M/Au:N/C:P/I:N/A:N", "nvdvectorv31": "None", }, }, ] class MockedResponse(object): def __init__( self, status_code, text, reason=None, url=None, method=None, ): self.status_code = status_code self.text = text self.reason = reason self.url = url self.request = requests.Request("GET") self.ok = True if self.status_code == 200 else False def json(self): return json.loads(self.text) def init_params(): return {"client_id": "WRONG_CLIENT_ID_TEST", "client_secret": "CLIENT_SECRET_TEST"} def mocked_request(*args, **kwargs): global bundle_index global submitted_indicators request = kwargs.get("request", {}) end_point = request.path_url method = request.method response_dict = { "POST": { "/auth/token": MockedResponse(200, mocked_get_token_response), "/dvefeed/ioc/ack": MockedResponse(200, str(submitted_indicators)), }, "GET": {"/dvefeed/ioc?limit=1000": MockedResponse(200, json.dumps(iocs_bundle[bundle_index]))}, } response_dict = response_dict.get(method) response = response_dict.get(end_point) if method == "GET" and end_point == "/dvefeed/ioc?limit=1000": submitted_indicators = len(iocs_bundle[bundle_index].get("objects")) - 2 bundle_index += 1 return response def test_test_module_command_raise_exception(mocker): mocker.patch.object(demisto, "params", return_value=init_params()) mocker.patch("requests.sessions.Session.send", return_value=MockedResponse(400, "error")) from Sixgill_DVE_Feed import module_command_test with pytest.raises(Exception): module_command_test() def test_test_module_command(mocker): mocker.patch.object(demisto, "params", return_value=init_params()) mocker.patch("requests.sessions.Session.send", return_value=MockedResponse(200, "ok")) from Sixgill_DVE_Feed import module_command_test module_command_test() def test_fetch_indicators_command(mocker): global bundle_index global submitted_indicators mocker.patch.object(demisto, "params", return_value=init_params()) mocker.patch("requests.sessions.Session.send", new=mocked_request) from Sixgill_DVE_Feed import fetch_indicators_command from sixgill.sixgill_feed_client import SixgillFeedClient from sixgill.sixgill_constants import FeedStream client = SixgillFeedClient( "client_id", "client_secret", "some_channel", FeedStream.DVEFEED, demisto, 1000, ) output = fetch_indicators_command(client) bundle_index = 0 submitted_indicators = 0 assert output == expected_ioc_output def test_get_indicators_command(mocker): global bundle_index global submitted_indicators mocker.patch.object(demisto, "params", return_value=init_params()) mocker.patch("requests.sessions.Session.send", new=mocked_request) from Sixgill_DVE_Feed import get_indicators_command from sixgill.sixgill_feed_client import SixgillFeedClient from sixgill.sixgill_constants import FeedStream client = SixgillFeedClient( "client_id", "client_secret", "some_channel", FeedStream.DVEFEED, demisto, 1000, ) output = get_indicators_command(client, {"limit": 10}) bundle_index = 0 submitted_indicators = 0 assert output[2] == expected_ioc_output @pytest.mark.parametrize("tlp_color", ["", None, "AMBER"]) def test_feed_tags_and_tlp_color(mocker, tlp_color): """ Given: - feedTags parameter When: - Executing fetch command on feed Then: - Validate the tags supplied are added to the tags list in addition to the tags that were there before """ global bundle_index global submitted_indicators mocker.patch.object(demisto, "params", return_value=init_params()) mocker.patch("requests.sessions.Session.send", new=mocked_request) from Sixgill_DVE_Feed import fetch_indicators_command from sixgill.sixgill_feed_client import SixgillFeedClient from sixgill.sixgill_constants import FeedStream client = SixgillFeedClient( "client_id", "client_secret", "some_channel", FeedStream.DVEFEED, demisto, 1000, ) output = fetch_indicators_command(client, tags=["tag1", "tag2"], tlp_color=tlp_color) assert all(item in output[0]["fields"]["tags"] for item in ["tag1", "tag2"]) if tlp_color: assert output[0]["fields"]["trafficlightprotocol"] == tlp_color else: assert not output[0]["fields"].get("trafficlightprotocol") bundle_index -= 1

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7e22d7e45a980ab9f5af611262bd32ebbe306e87

25,014

py

Python

Program.py

FlamesLLC/Lucid64

dbd24a1ea951b9a5ce4774afd85ca80be3742b2e

[ "MIT" ]

null

Program.py

FlamesLLC/Lucid64

dbd24a1ea951b9a5ce4774afd85ca80be3742b2e

[ "MIT" ]

null

Program.py

FlamesLLC/Lucid64

dbd24a1ea951b9a5ce4774afd85ca80be3742b2e

[ "MIT" ]

null

### EMUAI (c) N64 LAB TEAM from PyQt5.QtWidgets import QApplication, QWidget, QPushButton, QLabel, QLineEdit, QMessageBox from PyQt5.QtGui import QPixmap, QIcon from PyQt5.QtCore import QCoreApplication from PyQt5.QtCore import Qt import sys import os import re import time import random import subprocess import threading import json from datetime import datetime from pynput.keyboard import Key, Listener import platform import socket import base64 import hashlib import requests from PyQt5.QtCore import QThread from PyQt5.QtCore import pyqtSignal from PyQt5.QtCore import QObject from PyQt5.QtCore import QEvent from PyQt5.QtCore import QTimer from PyQt5.QtCore import QCoreApplication from PyQt5.QtGui import QPainter, QPen, QBrush, QColor, QFont from PyQt5.QtWidgets import QMainWindow, QApplication, QWidget, QPushButton, QLabel, QLineEdit, QMessageBox from PyQt5.QtGui import QPixmap, QIcon from PyQt5.QtCore import QCoreApplication from PyQt5.QtCore import Qt from PyQt5.QtWidgets import QApplication, QWidget, QMainWindow, QPushButton, QLabel, QLineEdit, QMessageBox, QFileDialog from PyQt5.QtGui import QPixmap, QIcon from PyQt5.QtCore import QCoreApplication from PyQt5.QtCore import Qt from PyQt5.QtWidgets import QApplication, QWidget, QMainWindow, QPushButton, QLabel, QLineEdit, QMessageBox, QFileDialog from PyQt5.QtGui import QPixmap, QIcon from PyQt5.QtCore import QCoreApplication from PyQt5.Q import sys import os import time import random import math import numpy as np import numpy.random as npr import scipy.stats as sps import scipy.misc as spm import matplotlib.pyplot as plt import matplotlib.animation as animation import matplotlib.patches as mpatches import matplotlib.cm as cm import matplotlib.colors as colors import matplotlib.colorbar as cbar from matplotlib.collections import PatchCollection from matplotlib.ticker import MaxNLocator from matplotlib import rc from matplotlib import ticker from matplotlib.ticker import FormatStrFormatter from matplotlib.ticker import LinearLocator from matplotlib.ticker import ScalarFormatter from matplotlib.colors import LogNorm from matplotlib.colors import Normalize from matplotlib.colors import PowerNorm from matplotlib.colors import SymLogNorm from matplotlib.colors import BoundaryNorm from matplotlib.colors import ListedColormap from matplotlib.colors import LinearSegmentedColormap from matplotlib.patches import Rectangle from matplotlib.patches import Circle from matplotlib.patches import Ellipse from matplotlib.patches import FancyArrowPatch from matplotlib.patches import Patch from matplotlib.patches import RegularPolygon from matplotlib.patches import Polygon from matplotlib.patches import Wedge from matplotlib.patches import Arc from matplotlib.collections import PatchCollection from matplotlib.lines import Line2D from matplotlib.markers import MarkerStyle from matplotlib.markers import Marker from matplotlib.lines import Line2D from matplotlib.patches import Circle from matplotlib.collections import PatchCollection from matplotlib.collections import LineCollection from matplotlib.collections import PolyCollection from matplotlib.collections import PathCollection from matplotlib.collections import PatchCollection from mat import sys import os import time import random import numpy as np import numpy.random as npr import scipy.stats as sps ## make a project 64 like gui import tkinter from tkinter import * from tkinter import ttk from tkinter import filedialog from tkinter import messagebox ## write a n64 like gui import tkinter from tkinter import * from tkinter import ttk from tkinter import filedialog from tkinter import messagebox print("Welcome to EMUN64 Please insert rom") ## write a mips 64 like rom loader import os rom = filedialog.askopenfilename(initialdir = "/",title = "Select file",filetypes = (("n64 rom files","*.z64"),("all files","*.*"))) os.system("mips64 -n -m -f " + rom) ## write the os that reads the data from n64 import os import time import random import numpy as np import numpy.random as npr import scipy.stats as sps import scipy.misc as spm import matplotlib.pyplot as plt import matplotlib.animation as animation import matplotlib.patches as mpatches import matplotlib.cm as cm import matplotlib.colors as colors import matplotlib.colorbar as cbar from matplotlib.collections import PatchCollection from matplotlib.ticker import MaxNLocator from matplotlib import rc from matplotlib import ticker from matplotlib.ticker import FormatStrFormatter from matplotlib.ticker import LinearLocator from matplotlib.ticker import ScalarFormatter from matplotlib.colors import LogNorm from matplotlib.colors import Normalize from matplotlib.colors import PowerNorm from matplotlib.colors import SymLogNorm from matplotlib.colors import BoundaryNorm from matplotlib.colors import ListedColormap from matplotlib.colors import LinearSegmentedColormap from matplotlib.patches import Rectangle from matplotlib.patches import Circle from matplotlib.patches import Ellipse from matplotlib.patches import FancyArrowPatch from matplotlib.patches import Patch from matplotlib.patches import RegularPolygon from matplotlib.patches import Polygon from matplotlib.patches import Wedge from matplotlib.patches import Arc from matplotlib.collections import PatchCollection from matplotlib.lines import Line2D from matplotlib.markers import MarkerStyle from matplotlib.markers import Marker from matplotlib.lines import Line2D from matplotlib.patches import Circle from matplotlib.collections import PatchCollection from matplotlib.collections import LineCollection from matplotlib.collections import PolyCollection from matplotlib.collections import PathCollection from matplotlib.collections import PatchCollection from matplotlib.collections import =#====== import os import time import random import numpy as np import numpy.random as npr import scipy.stats as sps import scipy.misc as spm import matplotlib.pyplot as plt import matplotlib.animation as animation import matplotlib.patches as mpatches import matplotlib.cm as cm import matplotlib.colors as colors import matplotlib.colorbar as cbar from matplotlib.collections import PatchCollection from matplotlib.ticker import MaxNLocator from matplotlib import rc from matplotlib import ticker from matplotlib.ticker import FormatStrFormatter from matplotlib.ticker import LinearLocator from matplotlib.ticker import ScalarFormatter from matplotlib.colors import LogNorm from matplotlib.colors import Normalize from matplotlib.colors import PowerNorm from matplotlib.colors import SymLogNorm from matplotlib.colors import BoundaryNorm from matplotlib.colors import ListedColormap from matplotlib.colors import LinearSegmentedColormap from matplotlib.patches import Rectangle from matplotlib.patches import Circle from matplotlib.patches import Ellipse from matplotlib.patches import FancyArrowPatch from matplotlib.patches import Patch from matplotlib.patches import RegularPolygon from matplotlib.patches import Polygon from matplotlib.patches import Wedge from matplotlib.patches import Arc from matplotlib.collections import PatchCollection from matplotlib.lines import Line2D from matplotlib.markers import MarkerStyle from matplotlib.markers import Marker from matplotlib.lines import Line2D from matplotlib.patches import Circle from matplotlib.collections import PatchCollection from matplotlib.collections import LineCollection from matplotlib.collections import PolyCollection from matplotlib.collections import PathCollection from matplotlib.collections import PatchCollection from mat import sys import #======= import os import time import random import numpy as np import numpy.random as npr import scipy.stats as sps import scipy.misc as spm import matplotlib.pyplot as plt import matplotlib.animation as animation import matplotlib.patches as mpatches import matplotlib.cm as cm import matplotlib.colors as colors import matplotlib.colorbar as cbar from matplotlib.collections import PatchCollection from matplotlib.ticker import MaxNLocator from matplotlib import rc from matplotlib import ticker from matplotlib.ticker import FormatStrFormatter from matplotlib.ticker import LinearLocator from matplotlib.ticker import ScalarFormatter from matplotlib.colors import LogNorm from matplotlib.colors import Normalize from matplotlib.colors import PowerNorm from matplotlib.colors import SymLogNorm from matplotlib.colors import BoundaryNorm from matplotlib.colors import ListedColormap from matplotlib.colors import LinearSegmentedColormap from matplotlib.patches import Rectangle from matplotlib.patches import Circle from matplotlib.patches import Ellipse from matplotlib.patches import FancyArrowPatch from matplotlib.patches import Patch from matplotlib.patches import RegularPolygon from matplotlib.patches import Polygon from matplotlib.patches import Wedge from matplotlib.patches import Arc from matplotlib.collections import PatchCollection from matplotlib.lines import Line2D from matplotlib.markers import MarkerStyle from matplotlib.markers import Marker from matplotlib.lines import Line2D from matplotlib.patches import Circle from matplotlib.collections import PatchCollection from matplotlib.collections import LineCollection from matplotlib.collections import PolyCollection from matplotlib.collections import PathCollection from matplotlib.collections import PatchCollection from mat import os import #======= import os import time import subprocess import random import numpy as np import numpy.random as npr import scipy.stats as sps import scipy.misc as spm import matplotlib.pyplot as plt import matplotlib.animation as animation import matplotlib.patches as mpatches import matplotlib.cm as cm import matplotlib.colors as colors import matplotlib.colorbar as cbar from matplotlib.collections import PatchCollection from matplotlib.ticker import MaxNLocator from matplotlib import rc from matplotlib import ticker from matplotlib.ticker import FormatStrFormatter from matplotlib.ticker import LinearLocator from matplotlib.ticker import ScalarFormatter from matplotlib.colors import LogNorm from matplotlib.colors import Normalize from matplotlib.colors import PowerNorm from matplotlib.colors import SymLogNorm from matplotlib.colors import BoundaryNorm from matplotlib.colors import ListedColormap from matplotlib.colors import LinearSegmentedColormap from matplotlib.patches import Rectangle from matplotlib.patches import Circle from matplotlib.patches import Ellipse from matplotlib.patches import FancyArrowPatch from matplotlib.patches import Patch from matplotlib.patches import RegularPolygon from matplotlib.patches import Polygon from matplotlib.patches import Wedge from matplotlib.patches import Arc from matplotlib.collections import PatchCollection from matplotlib.lines import Line2D from matplotlib.markers import MarkerStyle from matplotlib.markers import Marker from matplotlib.lines import Line2D from matplotlib.patches import Circle from matplotlib.collections import PatchCollection from matplotlib.collections import LineCollection from matplotlib.collections import PolyCollection from matplotlib.collections import PathCollection from matplotlib.collections import PatchCollection from matplotlib #======= import os import subprocess import re import time import random import socket import json import base64 import hashlib import requests from datetime import datetime import platform import sys import os import subprocess import re import time import random import socket import json import base64 import hashlib import requests from datetime import datetime import platform import os import subprocess import re import time import random import socket import json import base64 import hashlib import requests from datetime import datetime import platform import os import subprocess import re import time import random import socket import json import base64 import hashlib import requests from datetime import datetime import platform import os import subprocess import re import time import random import socket import json import base64 import hashlib import requests from datetime import datetime import platform import os import subprocess import re import time import random import socket import json import base64 import hashlib import requests from datetime import datetime import platform import os import subprocess import re import time import random import socket import json import base64 import hashlib import requests from datetime import datetime import platform import os import subprocess import re import time import random import socket import json import base64 import hashlib import requests from datetime import datetime import platform import os import subprocess import re import time import random import socket import json import base64 import hashlib import requests from datetime import datetime import platform import os import subprocess import re import time import random import socket import json import base64 import hashlib import requests from datetime import datetime import platform import os import subprocess import re import time import random import socket import json import base64 import hashlib import requests from datetime import datetime import platform import os import subprocess import re import time import random import socket import json import ======= import os os.system("python3.6 -m emuai.emuai") ## write the os that writes the data to n64 import os os.system("python3.6 -m emuai.emuai -w") ## write the os that writes the data to n64 import os os.system("python3.6 -m emuai.emuai -w") ## write the os that writes the data to n64 import os os.system("python3.6 -m emuai.emuai -w") ## write the os that writes the data to n64 import os os.system("python3.6 -m emuai.emuai -w") ## write the os that writes the data to n64 import os os.system("python3.6 -m emuai.emuai -w") ## write the os that writes the data to n64 import os os.system("python3.6 -m emuai.emuai -w") ## write the os that writes the data to n64 import os os.system("python3.6 -m emuai.emuai -w") ## write the os that writes the data to n64 import os os.system("python3.6 -m emuai.emuai -w") ## write the os that writes the data to n64 import os os.system("python3.6 -m emuai.emuai -w") ## write the os that writes the data to n64 import os os.system("python3.6 -m emuai.emuai -w") ## write the os that writes the data to n64 import os os.system("python3.6 -m emuai.emuai -w") ## write the os that writes the data to n64 import os os.system("python3.6 -m emuai.emuai -w") ## write the os that writes the data to n64 import os os.system("python3.6 -m emuai.emuai -w") ## write the os that writes the data to ======= import os import time import random import json import socket import requests import base64 import hashlib import threading import subprocess import platform import sys import os import re import time import random import numpy as np import numpy.random as npr import scipy.stats as sps import scipy.misc as spm import matplotlib.pyplot as plt import matplotlib.animation as animation import matplotlib.patches as mpatches import matplotlib.cm as cm import matplotlib.colors as colors import matplotlib.colorbar as cbar from matplotlib.collections import PatchCollection from matplotlib.ticker import MaxNLocator from matplotlib import ticker from matplotlib.ticker import FormatStrFormatter from matplotlib.ticker import LinearLocator from matplotlib.ticker import ScalarFormatter from matplotlib.colors import LogNorm from matplotlib.colors import Normalize from matplotlib.colors import PowerNorm from matplotlib.colors import SymLogNorm from matplotlib.colors import BoundaryNorm from matplotlib.colors import ListedColormap from matplotlib.colors import LinearSegmentedColormap from matplotlib.patches import Rectangle from matplotlib.patches import Circle from matplotlib.patches import Ellipse from matplotlib.patches import FancyArrowPatch from matplotlib.patches import Patch from matplotlib.patches import RegularPolygon from matplotlib.patches import Polygon from matplotlib.patches import Wedge from matplotlib.patches import Arc from matplotlib.collections import PatchCollection from matplotlib.lines import Line2D from matplotlib.markers import MarkerStyle from matplotlib.markers import Marker from matplotlib.lines import Line2D from matplotlib.patches import Circle from matplotlib.collections import PatchCollection from matplotlib.collections import Line ## write a gui in t ======= import matplotlib.pyplot as plt import matplotlib.animation as animation import matplotlib.patches as mpatches import matplotlib.cm as cm import matplotlib.colors as colors import matplotlib.colorbar as cbar from matplotlib.collections import PatchCollection from matplotlib.ticker import MaxNLocator from matplotlib.ticker import FormatStrFormatter from matplotlib.ticker import LinearLocator from matplotlib.ticker import ScalarFormatter from matplotlib.colors import LogNorm from matplotlib.colors import Normalize from matplotlib.colors import PowerNorm from matplotlib.colors import SymLogNorm from matplotlib.colors import BoundaryNorm from matplotlib.colors import ListedColormap from matplotlib.colors import LinearSegmentedColormap from matplotlib.patches import Rectangle from matplotlib.patches import Circle from matplotlib.patches import Ellipse from matplotlib.patches import FancyArrowPatch from matplotlib.patches import Patch from matplotlib.patches import RegularPolygon from matplotlib.patches import Polygon from matplotlib.patches import Wedge from matplotlib.patches import Arc from matplotlib.collections import PatchCollection from matplotlib.lines import Line2D from matplotlib.markers import MarkerStyle from matplotlib.markers import Marker from matplotlib.lines import Line2D from matplotlib.patches import Circle from matplotlib.collections import PatchCollection from matplotlib.collections import Line ## write a gui in tkinter for showing the game import matplotlib.pyplot as plt import matplotlib.animation as animation import matplotlib.patches as mpatches import matplotlib.cm as cm import matplotlib.colors as colors import matplotlib.colorbar as cbar from matplotlib.collections import PatchCollection from matplotlib.ticker import MaxNLocator from #======= import tkinter as tk import tkinter.ttk as ttk import tkinter.font as tkfont import tkinter.filedialog as tkfd import tkinter.messagebox as tkmb import tkinter.simpledialog as tksd import tkinter.scrolledtext as tksct import tkinter.colorchooser as tkcc import tkinter.font as tkf import tkinter.ttk as tkt import tkinter.tix as tix import tkinter.constants as tkc import tkinter.constants as tkconst import tkinter.commondialog as tkcd import tkinter.dialog as tkd import tkinter.filedialog as tkfd import tkinter.messagebox as tkmb import tkinter.simpledialog as tksd import tkinter.scrolledtext as tksct import tkinter.colorchooser as tkcc import tkinter.font as tkf import tkinter.ttk as tkt import tkinter.tix as tix import tkinter.constants as tkc import tkinter.constants as tkconst import tkinter.commondialog as tkcd import tkinter.dialog as tkd import tkinter.filedialog as tkfd import tkinter.messagebox as tkmb import tkinter.simpledialog as tksd import tkinter.scrolledtext as tksct import tkinter.colorchooser as tkcc import tkinter.font as tkf import tkinter.ttk as tkt import tkinter.tix as tix import tkinter.constants as tkc import tkinter.constants as tkconst import tkinter.commondialog as tkcd import tkinter.dialog as tkd import tkinter.filedialog as tkfd import tkinter.messagebox as #======= import tkinter as tk import tkinter.ttk as ttk import tkinter.font as tkFont import tkinter.filedialog as tkFileDialog import tkinter.messagebox as tkMessageBox import tkinter.scrolledtext as tkScrolledText import tkinter.simpledialog as tkSimpleDialog import tkinter.colorchooser as tkColorChooser import tkinter.tix as tix import tkinter.constants as tkConstants import tkinter.font as tkFont import tkinter.fontchooser as tkFontChooser import tkinter.ttk as ttk import tkinter.messagebox as tkMessageBox import tkinter.simpledialog as tkSimpleDialog import tkinter.colorchooser as tkColorChooser import tkinter.tix as tix import tkinter.constants as tkConstants import tkinter.font as tkFont import tkinter.fontchooser as tkFontChooser import tkinter.ttk as ttk import tkinter.messagebox as tkMessageBox import tkinter.simpledialog as tkSimpleDialog import tkinter.colorchooser as tkColorChooser import tkinter.tix as tix import tkinter.constants as tkConstants import tkinter.font as tkFont import tkinter.fontchooser as tkFontChooser import tkinter.ttk as ttk import tkinter.messagebox as tkMessageBox import tkinter.simpledialog as tkSimpleDialog import tkinter.colorchooser as tkColorChooser import tkinter.tix as tix import tkinter.constants as tkConstants import tkinter.font as tkFont import tkinter.fontchooser as tkFontChooser import tkinter.ttk as ttk import tkinter.messagebox as tkMessageBox import tkinter.simpledialog as #======= import tkinter as tk import tkinter.font as tkfont import tkinter.ttk as ttk import tkinter.filedialog as tkfd import tkinter.messagebox as tkm import tkinter.scrolledtext as tkst import tkinter.simpledialog as tksd import tkinter.colorchooser as tkcc import tkinter.font as tkfont import tkinter.ttk as ttk import tkinter.filedialog as tkfd import tkinter.messagebox as tkm import tkinter.scrolledtext as tkst import tkinter.simpledialog as tksd import tkinter.colorchooser as tkcc import tkinter.font as tkfont import tkinter.ttk as ttk import tkinter.filedialog as tkfd import tkinter.messagebox as tkm import tkinter.scrolledtext as tkst import tkinter.simpledialog as tksd import tkinter.colorchooser as tkcc import tkinter.font as tkfont import tkinter.ttk as ttk import tkinter.filedialog as tkfd import tkinter.messagebox as tkm import tkinter.scrolledtext as tkst import tkinter.simpledialog as tksd import tkinter.colorchooser as tkcc import tkinter.font as tkfont import tkinter.ttk as ttk import tkinter.filedialog as tkfd import tkinter.messagebox as tkm import tkinter.scrolledtext as tkst import tkinter.simpledialog as tksd import tkinter.colorchooser as tkcc import tkinter.font as tkfont import tkinter.ttk as ttk import tkinter.filedialog as tkfd import tkinter.messagebox as tkm import tkinter.scrolledtext as #======= import matplotlib.pyplot as plt import numpy as np from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg from matplotlib.figure import Figure import tkinter as tk from tkinter import ttk from tkinter import * from tkinter import messagebox from tkinter import filedialog from tkinter import simpledialog from tkinter import colorchooser from tkinter import scrolledtext from tkinter import Menu from tkinter import Spinbox from tkinter import OptionMenu from tkinter import Checkbutton from tkinter import Radiobutton from tkinter import IntVar from tkinter import StringVar from tkinter import DoubleVar from tkinter import BooleanVar from tkinter import ttk from tkinter import messagebox from tkinter import filedialog from tkinter import simpledialog from tkinter import colorchooser from tkinter import scrolledtext from tkinter import Menu from tkinter import Spinbox from tkinter import OptionMenu from tkinter import Checkbutton from tkinter import Radiobutton from tkinter import IntVar from tkinter import StringVar from tkinter import DoubleVar from tkinter import BooleanVar from tkinter import ttk from tkinter import messagebox from tkinter import filedialog from tkinter import simpledialog from tkinter import colorchooser from tkinter import scrolledtext from tkinter import Menu from tkinter import Spinbox from tkinter import OptionMenu from tkinter import Checkbutton from tkinter import Radiobutton from tkinter import IntVar from tkinter import StringVar from tkinter import DoubleVar from tkinter import BooleanVar from tkinter import ttk from tkinter import messagebox from tkinter import filedialog from tkinter import simpledialog from tkinter import colorchooser from tkinter import scrolledtext from tkinter ## write the mips cpu data loader

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7e2779883eee0c850658dc660bbc3a2d864e2c1e

414

py

Python

example/lower_read/app.py

jhesketh/dynaconf

a8038b87763ae8e790ff7e745b9335f997d5bd16

[ "MIT" ]

1

2021-07-21T17:06:16.000Z

example/lower_read/app.py

jhesketh/dynaconf

a8038b87763ae8e790ff7e745b9335f997d5bd16

[ "MIT" ]

null

example/lower_read/app.py

jhesketh/dynaconf

a8038b87763ae8e790ff7e745b9335f997d5bd16

[ "MIT" ]

null

from dynaconf import LazySettings settings = LazySettings(envless_mode=True, lowercase_read=True) assert settings.server == "foo.com" assert settings.SERVER == "foo.com" assert settings["SERVER"] == "foo.com" assert settings["server"] == "foo.com" assert settings("SERVER") == "foo.com" assert settings("server") == "foo.com" assert settings.get("SERVER") == "foo.com" assert settings.get("server") == "foo.com"

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7e3a63d4944eb1c5097fe9f0ad03b7d0f220afdf

3,461

py

Python

tests/test_day_24.py

maddenvvs/advent-of-code-2021

00cd36ef07987dd004312e020940f0bd14b0dc85

[ "MIT" ]

null

tests/test_day_24.py

maddenvvs/advent-of-code-2021

00cd36ef07987dd004312e020940f0bd14b0dc85

[ "MIT" ]

null

tests/test_day_24.py

maddenvvs/advent-of-code-2021

00cd36ef07987dd004312e020940f0bd14b0dc85

[ "MIT" ]

null

from aoc2021.day_24 import ALU, parse_program, find_numbers_pair def test_monad_first_example() -> None: program = parse_program( """inp x mul x -1""" ) monad = ALU(program) monad.run("2") assert monad.vars["x"] == -2 def test_monad_second_example() -> None: program = parse_program( """inp z inp x mul z 3 eql z x""" ) monad = ALU(program) monad.run("23") assert monad.vars["z"] == 0 def test_monad_third_example() -> None: program = parse_program( """inp z inp x mul z 3 eql z x""" ) monad = ALU(program) monad.run("26") assert monad.vars["z"] == 1 def test_monad_fourth_example() -> None: program = parse_program( """inp w add z w mod z 2 div w 2 add y w mod y 2 div w 2 add x w mod x 2 div w 2 mod w 2 """ ) monad = ALU(program) monad.run("7") assert monad.vars == {"w": 0, "x": 1, "y": 1, "z": 1} TEST_PROGRAM = """inp w mul x 0 add x z mod x 26 div z 1 add x 12 eql x w eql x 0 mul y 0 add y 25 mul y x add y 1 mul z y mul y 0 add y w add y 15 mul y x add z y inp w mul x 0 add x z mod x 26 div z 1 add x 14 eql x w eql x 0 mul y 0 add y 25 mul y x add y 1 mul z y mul y 0 add y w add y 12 mul y x add z y inp w mul x 0 add x z mod x 26 div z 1 add x 11 eql x w eql x 0 mul y 0 add y 25 mul y x add y 1 mul z y mul y 0 add y w add y 15 mul y x add z y inp w mul x 0 add x z mod x 26 div z 26 add x -9 eql x w eql x 0 mul y 0 add y 25 mul y x add y 1 mul z y mul y 0 add y w add y 12 mul y x add z y inp w mul x 0 add x z mod x 26 div z 26 add x -7 eql x w eql x 0 mul y 0 add y 25 mul y x add y 1 mul z y mul y 0 add y w add y 15 mul y x add z y inp w mul x 0 add x z mod x 26 div z 1 add x 11 eql x w eql x 0 mul y 0 add y 25 mul y x add y 1 mul z y mul y 0 add y w add y 2 mul y x add z y inp w mul x 0 add x z mod x 26 div z 26 add x -1 eql x w eql x 0 mul y 0 add y 25 mul y x add y 1 mul z y mul y 0 add y w add y 11 mul y x add z y inp w mul x 0 add x z mod x 26 div z 26 add x -16 eql x w eql x 0 mul y 0 add y 25 mul y x add y 1 mul z y mul y 0 add y w add y 15 mul y x add z y inp w mul x 0 add x z mod x 26 div z 1 add x 11 eql x w eql x 0 mul y 0 add y 25 mul y x add y 1 mul z y mul y 0 add y w add y 10 mul y x add z y inp w mul x 0 add x z mod x 26 div z 26 add x -15 eql x w eql x 0 mul y 0 add y 25 mul y x add y 1 mul z y mul y 0 add y w add y 2 mul y x add z y inp w mul x 0 add x z mod x 26 div z 1 add x 10 eql x w eql x 0 mul y 0 add y 25 mul y x add y 1 mul z y mul y 0 add y w add y 0 mul y x add z y inp w mul x 0 add x z mod x 26 div z 1 add x 12 eql x w eql x 0 mul y 0 add y 25 mul y x add y 1 mul z y mul y 0 add y w add y 0 mul y x add z y inp w mul x 0 add x z mod x 26 div z 26 add x -4 eql x w eql x 0 mul y 0 add y 25 mul y x add y 1 mul z y mul y 0 add y w add y 15 mul y x add z y inp w mul x 0 add x z mod x 26 div z 26 add x 0 eql x w eql x 0 mul y 0 add y 25 mul y x add y 1 mul z y mul y 0 add y w add y 15 mul y x add z y""" def test_found_solution_part_one() -> None: program = parse_program(TEST_PROGRAM) first_number, _ = find_numbers_pair(program) monad = ALU(program) monad.run(str(first_number)) assert monad.vars["z"] == 0 def test_found_solution_part_two() -> None: program = parse_program(TEST_PROGRAM) _, second_number = find_numbers_pair(program) monad = ALU(program) monad.run(str(second_number)) assert monad.vars["z"] == 0

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7e898a793347ec21a96a9d2e1394fc025e928a48

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py

Python

extra_tests/snippets/intro/3.1.1.6.py

mainsail-org/RustPython

5d2d87c24f1ff7201fcc8d4fcffadb0ec12dc127

[ "CC-BY-4.0", "MIT" ]

11,058

2018-05-29T07:40:06.000Z

2022-03-31T11:38:42.000Z

extra_tests/snippets/intro/3.1.1.6.py

mainsail-org/RustPython

5d2d87c24f1ff7201fcc8d4fcffadb0ec12dc127

[ "CC-BY-4.0", "MIT" ]

2,105

2018-06-01T10:07:16.000Z

2022-03-31T14:56:42.000Z

extra_tests/snippets/intro/3.1.1.6.py

mainsail-org/RustPython

5d2d87c24f1ff7201fcc8d4fcffadb0ec12dc127

[ "CC-BY-4.0", "MIT" ]

914

2018-07-27T09:36:14.000Z

2022-03-31T19:56:34.000Z

assert 7.5 == 3 * 3.75 / 1.5 assert 3.5 == 7.0 / 2

13

28

0.480769

14

52

1.785714

0.571429

0

0.351351

0.288462

52

3

29

17.333333

0.324324

0

1

0

true

0

1

0

1

null

0

1

0

1

0

1

0

null

0

1

0

1

0

7

0e69c2e7835139638f8172ec0a6837a87605b6e5

39,976

py

Python

sdk/python/pulumi_alicloud/alb/load_balancer.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

[ "ECL-2.0", "Apache-2.0" ]

42

2019-03-18T06:34:37.000Z

2022-03-24T07:08:57.000Z

sdk/python/pulumi_alicloud/alb/load_balancer.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

[ "ECL-2.0", "Apache-2.0" ]

152

2019-04-15T21:03:44.000Z

2022-03-29T18:00:57.000Z

sdk/python/pulumi_alicloud/alb/load_balancer.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

[ "ECL-2.0", "Apache-2.0" ]

3

2020-08-26T17:30:07.000Z

2021-07-05T01:37:45.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities from . import outputs from ._inputs import * __all__ = ['LoadBalancerArgs', 'LoadBalancer'] @pulumi.input_type class LoadBalancerArgs: def __init__(__self__, *, address_type: pulumi.Input[str], load_balancer_billing_config: pulumi.Input['LoadBalancerLoadBalancerBillingConfigArgs'], load_balancer_edition: pulumi.Input[str], load_balancer_name: pulumi.Input[str], vpc_id: pulumi.Input[str], zone_mappings: pulumi.Input[Sequence[pulumi.Input['LoadBalancerZoneMappingArgs']]], access_log_config: Optional[pulumi.Input['LoadBalancerAccessLogConfigArgs']] = None, address_allocated_mode: Optional[pulumi.Input[str]] = None, deletion_protection_enabled: Optional[pulumi.Input[bool]] = None, dry_run: Optional[pulumi.Input[bool]] = None, modification_protection_config: Optional[pulumi.Input['LoadBalancerModificationProtectionConfigArgs']] = None, resource_group_id: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, Any]]] = None): """ The set of arguments for constructing a LoadBalancer resource. :param pulumi.Input[str] address_type: The type of IP address that the ALB instance uses to provide services. Valid values: `Intranet`, `Internet`. :param pulumi.Input['LoadBalancerLoadBalancerBillingConfigArgs'] load_balancer_billing_config: The configuration of the billing method. :param pulumi.Input[str] load_balancer_edition: The edition of the ALB instance. Different editions have different limits and billing methods. Valid values: `Basic` and `Standard`. :param pulumi.Input[str] load_balancer_name: The name of the resource. :param pulumi.Input[str] vpc_id: The ID of the virtual private cloud (VPC) where the ALB instance is deployed. :param pulumi.Input[Sequence[pulumi.Input['LoadBalancerZoneMappingArgs']]] zone_mappings: The zones and vSwitches. You must specify at least two zones. :param pulumi.Input['LoadBalancerAccessLogConfigArgs'] access_log_config: The Access Logging Configuration Structure. :param pulumi.Input[str] address_allocated_mode: The method in which IP addresses are assigned. Valid values: `Fixed` and `Dynamic`. Default value: `Dynamic`. *`Fixed`: The ALB instance uses a fixed IP address. *`Dynamic`: An IP address is dynamically assigned to each zone of the ALB instance. :param pulumi.Input[bool] deletion_protection_enabled: The deletion protection enabled. Valid values: `true` and `false`. Default value: `false`. :param pulumi.Input[bool] dry_run: Specifies whether to precheck the API request. Valid values: `true` and `false`. :param pulumi.Input['LoadBalancerModificationProtectionConfigArgs'] modification_protection_config: Modify the Protection Configuration. :param pulumi.Input[str] resource_group_id: The ID of the resource group. """ pulumi.set(__self__, "address_type", address_type) pulumi.set(__self__, "load_balancer_billing_config", load_balancer_billing_config) pulumi.set(__self__, "load_balancer_edition", load_balancer_edition) pulumi.set(__self__, "load_balancer_name", load_balancer_name) pulumi.set(__self__, "vpc_id", vpc_id) pulumi.set(__self__, "zone_mappings", zone_mappings) if access_log_config is not None: pulumi.set(__self__, "access_log_config", access_log_config) if address_allocated_mode is not None: pulumi.set(__self__, "address_allocated_mode", address_allocated_mode) if deletion_protection_enabled is not None: pulumi.set(__self__, "deletion_protection_enabled", deletion_protection_enabled) if dry_run is not None: pulumi.set(__self__, "dry_run", dry_run) if modification_protection_config is not None: pulumi.set(__self__, "modification_protection_config", modification_protection_config) if resource_group_id is not None: pulumi.set(__self__, "resource_group_id", resource_group_id) if tags is not None: pulumi.set(__self__, "tags", tags) @property @pulumi.getter(name="addressType") def address_type(self) -> pulumi.Input[str]: """ The type of IP address that the ALB instance uses to provide services. Valid values: `Intranet`, `Internet`. """ return pulumi.get(self, "address_type") @address_type.setter def address_type(self, value: pulumi.Input[str]): pulumi.set(self, "address_type", value) @property @pulumi.getter(name="loadBalancerBillingConfig") def load_balancer_billing_config(self) -> pulumi.Input['LoadBalancerLoadBalancerBillingConfigArgs']: """ The configuration of the billing method. """ return pulumi.get(self, "load_balancer_billing_config") @load_balancer_billing_config.setter def load_balancer_billing_config(self, value: pulumi.Input['LoadBalancerLoadBalancerBillingConfigArgs']): pulumi.set(self, "load_balancer_billing_config", value) @property @pulumi.getter(name="loadBalancerEdition") def load_balancer_edition(self) -> pulumi.Input[str]: """ The edition of the ALB instance. Different editions have different limits and billing methods. Valid values: `Basic` and `Standard`. """ return pulumi.get(self, "load_balancer_edition") @load_balancer_edition.setter def load_balancer_edition(self, value: pulumi.Input[str]): pulumi.set(self, "load_balancer_edition", value) @property @pulumi.getter(name="loadBalancerName") def load_balancer_name(self) -> pulumi.Input[str]: """ The name of the resource. """ return pulumi.get(self, "load_balancer_name") @load_balancer_name.setter def load_balancer_name(self, value: pulumi.Input[str]): pulumi.set(self, "load_balancer_name", value) @property @pulumi.getter(name="vpcId") def vpc_id(self) -> pulumi.Input[str]: """ The ID of the virtual private cloud (VPC) where the ALB instance is deployed. """ return pulumi.get(self, "vpc_id") @vpc_id.setter def vpc_id(self, value: pulumi.Input[str]): pulumi.set(self, "vpc_id", value) @property @pulumi.getter(name="zoneMappings") def zone_mappings(self) -> pulumi.Input[Sequence[pulumi.Input['LoadBalancerZoneMappingArgs']]]: """ The zones and vSwitches. You must specify at least two zones. """ return pulumi.get(self, "zone_mappings") @zone_mappings.setter def zone_mappings(self, value: pulumi.Input[Sequence[pulumi.Input['LoadBalancerZoneMappingArgs']]]): pulumi.set(self, "zone_mappings", value) @property @pulumi.getter(name="accessLogConfig") def access_log_config(self) -> Optional[pulumi.Input['LoadBalancerAccessLogConfigArgs']]: """ The Access Logging Configuration Structure. """ return pulumi.get(self, "access_log_config") @access_log_config.setter def access_log_config(self, value: Optional[pulumi.Input['LoadBalancerAccessLogConfigArgs']]): pulumi.set(self, "access_log_config", value) @property @pulumi.getter(name="addressAllocatedMode") def address_allocated_mode(self) -> Optional[pulumi.Input[str]]: """ The method in which IP addresses are assigned. Valid values: `Fixed` and `Dynamic`. Default value: `Dynamic`. *`Fixed`: The ALB instance uses a fixed IP address. *`Dynamic`: An IP address is dynamically assigned to each zone of the ALB instance. """ return pulumi.get(self, "address_allocated_mode") @address_allocated_mode.setter def address_allocated_mode(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "address_allocated_mode", value) @property @pulumi.getter(name="deletionProtectionEnabled") def deletion_protection_enabled(self) -> Optional[pulumi.Input[bool]]: """ The deletion protection enabled. Valid values: `true` and `false`. Default value: `false`. """ return pulumi.get(self, "deletion_protection_enabled") @deletion_protection_enabled.setter def deletion_protection_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "deletion_protection_enabled", value) @property @pulumi.getter(name="dryRun") def dry_run(self) -> Optional[pulumi.Input[bool]]: """ Specifies whether to precheck the API request. Valid values: `true` and `false`. """ return pulumi.get(self, "dry_run") @dry_run.setter def dry_run(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "dry_run", value) @property @pulumi.getter(name="modificationProtectionConfig") def modification_protection_config(self) -> Optional[pulumi.Input['LoadBalancerModificationProtectionConfigArgs']]: """ Modify the Protection Configuration. """ return pulumi.get(self, "modification_protection_config") @modification_protection_config.setter def modification_protection_config(self, value: Optional[pulumi.Input['LoadBalancerModificationProtectionConfigArgs']]): pulumi.set(self, "modification_protection_config", value) @property @pulumi.getter(name="resourceGroupId") def resource_group_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the resource group. """ return pulumi.get(self, "resource_group_id") @resource_group_id.setter def resource_group_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_group_id", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "tags", value) @pulumi.input_type class _LoadBalancerState: def __init__(__self__, *, access_log_config: Optional[pulumi.Input['LoadBalancerAccessLogConfigArgs']] = None, address_allocated_mode: Optional[pulumi.Input[str]] = None, address_type: Optional[pulumi.Input[str]] = None, deletion_protection_enabled: Optional[pulumi.Input[bool]] = None, dry_run: Optional[pulumi.Input[bool]] = None, load_balancer_billing_config: Optional[pulumi.Input['LoadBalancerLoadBalancerBillingConfigArgs']] = None, load_balancer_edition: Optional[pulumi.Input[str]] = None, load_balancer_name: Optional[pulumi.Input[str]] = None, modification_protection_config: Optional[pulumi.Input['LoadBalancerModificationProtectionConfigArgs']] = None, resource_group_id: Optional[pulumi.Input[str]] = None, status: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, vpc_id: Optional[pulumi.Input[str]] = None, zone_mappings: Optional[pulumi.Input[Sequence[pulumi.Input['LoadBalancerZoneMappingArgs']]]] = None): """ Input properties used for looking up and filtering LoadBalancer resources. :param pulumi.Input['LoadBalancerAccessLogConfigArgs'] access_log_config: The Access Logging Configuration Structure. :param pulumi.Input[str] address_allocated_mode: The method in which IP addresses are assigned. Valid values: `Fixed` and `Dynamic`. Default value: `Dynamic`. *`Fixed`: The ALB instance uses a fixed IP address. *`Dynamic`: An IP address is dynamically assigned to each zone of the ALB instance. :param pulumi.Input[str] address_type: The type of IP address that the ALB instance uses to provide services. Valid values: `Intranet`, `Internet`. :param pulumi.Input[bool] deletion_protection_enabled: The deletion protection enabled. Valid values: `true` and `false`. Default value: `false`. :param pulumi.Input[bool] dry_run: Specifies whether to precheck the API request. Valid values: `true` and `false`. :param pulumi.Input['LoadBalancerLoadBalancerBillingConfigArgs'] load_balancer_billing_config: The configuration of the billing method. :param pulumi.Input[str] load_balancer_edition: The edition of the ALB instance. Different editions have different limits and billing methods. Valid values: `Basic` and `Standard`. :param pulumi.Input[str] load_balancer_name: The name of the resource. :param pulumi.Input['LoadBalancerModificationProtectionConfigArgs'] modification_protection_config: Modify the Protection Configuration. :param pulumi.Input[str] resource_group_id: The ID of the resource group. :param pulumi.Input[str] status: Specifies whether to enable the configuration read-only mode for the ALB instance. Valid values: `NonProtection` and `ConsoleProtection`. :param pulumi.Input[str] vpc_id: The ID of the virtual private cloud (VPC) where the ALB instance is deployed. :param pulumi.Input[Sequence[pulumi.Input['LoadBalancerZoneMappingArgs']]] zone_mappings: The zones and vSwitches. You must specify at least two zones. """ if access_log_config is not None: pulumi.set(__self__, "access_log_config", access_log_config) if address_allocated_mode is not None: pulumi.set(__self__, "address_allocated_mode", address_allocated_mode) if address_type is not None: pulumi.set(__self__, "address_type", address_type) if deletion_protection_enabled is not None: pulumi.set(__self__, "deletion_protection_enabled", deletion_protection_enabled) if dry_run is not None: pulumi.set(__self__, "dry_run", dry_run) if load_balancer_billing_config is not None: pulumi.set(__self__, "load_balancer_billing_config", load_balancer_billing_config) if load_balancer_edition is not None: pulumi.set(__self__, "load_balancer_edition", load_balancer_edition) if load_balancer_name is not None: pulumi.set(__self__, "load_balancer_name", load_balancer_name) if modification_protection_config is not None: pulumi.set(__self__, "modification_protection_config", modification_protection_config) if resource_group_id is not None: pulumi.set(__self__, "resource_group_id", resource_group_id) if status is not None: pulumi.set(__self__, "status", status) if tags is not None: pulumi.set(__self__, "tags", tags) if vpc_id is not None: pulumi.set(__self__, "vpc_id", vpc_id) if zone_mappings is not None: pulumi.set(__self__, "zone_mappings", zone_mappings) @property @pulumi.getter(name="accessLogConfig") def access_log_config(self) -> Optional[pulumi.Input['LoadBalancerAccessLogConfigArgs']]: """ The Access Logging Configuration Structure. """ return pulumi.get(self, "access_log_config") @access_log_config.setter def access_log_config(self, value: Optional[pulumi.Input['LoadBalancerAccessLogConfigArgs']]): pulumi.set(self, "access_log_config", value) @property @pulumi.getter(name="addressAllocatedMode") def address_allocated_mode(self) -> Optional[pulumi.Input[str]]: """ The method in which IP addresses are assigned. Valid values: `Fixed` and `Dynamic`. Default value: `Dynamic`. *`Fixed`: The ALB instance uses a fixed IP address. *`Dynamic`: An IP address is dynamically assigned to each zone of the ALB instance. """ return pulumi.get(self, "address_allocated_mode") @address_allocated_mode.setter def address_allocated_mode(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "address_allocated_mode", value) @property @pulumi.getter(name="addressType") def address_type(self) -> Optional[pulumi.Input[str]]: """ The type of IP address that the ALB instance uses to provide services. Valid values: `Intranet`, `Internet`. """ return pulumi.get(self, "address_type") @address_type.setter def address_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "address_type", value) @property @pulumi.getter(name="deletionProtectionEnabled") def deletion_protection_enabled(self) -> Optional[pulumi.Input[bool]]: """ The deletion protection enabled. Valid values: `true` and `false`. Default value: `false`. """ return pulumi.get(self, "deletion_protection_enabled") @deletion_protection_enabled.setter def deletion_protection_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "deletion_protection_enabled", value) @property @pulumi.getter(name="dryRun") def dry_run(self) -> Optional[pulumi.Input[bool]]: """ Specifies whether to precheck the API request. Valid values: `true` and `false`. """ return pulumi.get(self, "dry_run") @dry_run.setter def dry_run(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "dry_run", value) @property @pulumi.getter(name="loadBalancerBillingConfig") def load_balancer_billing_config(self) -> Optional[pulumi.Input['LoadBalancerLoadBalancerBillingConfigArgs']]: """ The configuration of the billing method. """ return pulumi.get(self, "load_balancer_billing_config") @load_balancer_billing_config.setter def load_balancer_billing_config(self, value: Optional[pulumi.Input['LoadBalancerLoadBalancerBillingConfigArgs']]): pulumi.set(self, "load_balancer_billing_config", value) @property @pulumi.getter(name="loadBalancerEdition") def load_balancer_edition(self) -> Optional[pulumi.Input[str]]: """ The edition of the ALB instance. Different editions have different limits and billing methods. Valid values: `Basic` and `Standard`. """ return pulumi.get(self, "load_balancer_edition") @load_balancer_edition.setter def load_balancer_edition(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "load_balancer_edition", value) @property @pulumi.getter(name="loadBalancerName") def load_balancer_name(self) -> Optional[pulumi.Input[str]]: """ The name of the resource. """ return pulumi.get(self, "load_balancer_name") @load_balancer_name.setter def load_balancer_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "load_balancer_name", value) @property @pulumi.getter(name="modificationProtectionConfig") def modification_protection_config(self) -> Optional[pulumi.Input['LoadBalancerModificationProtectionConfigArgs']]: """ Modify the Protection Configuration. """ return pulumi.get(self, "modification_protection_config") @modification_protection_config.setter def modification_protection_config(self, value: Optional[pulumi.Input['LoadBalancerModificationProtectionConfigArgs']]): pulumi.set(self, "modification_protection_config", value) @property @pulumi.getter(name="resourceGroupId") def resource_group_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the resource group. """ return pulumi.get(self, "resource_group_id") @resource_group_id.setter def resource_group_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_group_id", value) @property @pulumi.getter def status(self) -> Optional[pulumi.Input[str]]: """ Specifies whether to enable the configuration read-only mode for the ALB instance. Valid values: `NonProtection` and `ConsoleProtection`. """ return pulumi.get(self, "status") @status.setter def status(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "status", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "tags", value) @property @pulumi.getter(name="vpcId") def vpc_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the virtual private cloud (VPC) where the ALB instance is deployed. """ return pulumi.get(self, "vpc_id") @vpc_id.setter def vpc_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "vpc_id", value) @property @pulumi.getter(name="zoneMappings") def zone_mappings(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['LoadBalancerZoneMappingArgs']]]]: """ The zones and vSwitches. You must specify at least two zones. """ return pulumi.get(self, "zone_mappings") @zone_mappings.setter def zone_mappings(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['LoadBalancerZoneMappingArgs']]]]): pulumi.set(self, "zone_mappings", value) class LoadBalancer(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, access_log_config: Optional[pulumi.Input[pulumi.InputType['LoadBalancerAccessLogConfigArgs']]] = None, address_allocated_mode: Optional[pulumi.Input[str]] = None, address_type: Optional[pulumi.Input[str]] = None, deletion_protection_enabled: Optional[pulumi.Input[bool]] = None, dry_run: Optional[pulumi.Input[bool]] = None, load_balancer_billing_config: Optional[pulumi.Input[pulumi.InputType['LoadBalancerLoadBalancerBillingConfigArgs']]] = None, load_balancer_edition: Optional[pulumi.Input[str]] = None, load_balancer_name: Optional[pulumi.Input[str]] = None, modification_protection_config: Optional[pulumi.Input[pulumi.InputType['LoadBalancerModificationProtectionConfigArgs']]] = None, resource_group_id: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, vpc_id: Optional[pulumi.Input[str]] = None, zone_mappings: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LoadBalancerZoneMappingArgs']]]]] = None, __props__=None): """ Provides a ALB Load Balancer resource. For information about ALB Load Balancer and how to use it, see [What is Load Balancer](https://www.alibabacloud.com/help/doc-detail/197341.htm). > **NOTE:** Available in v1.132.0+. ## Import ALB Load Balancer can be imported using the id, e.g. ```sh $ pulumi import alicloud:alb/loadBalancer:LoadBalancer example <id> ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[pulumi.InputType['LoadBalancerAccessLogConfigArgs']] access_log_config: The Access Logging Configuration Structure. :param pulumi.Input[str] address_allocated_mode: The method in which IP addresses are assigned. Valid values: `Fixed` and `Dynamic`. Default value: `Dynamic`. *`Fixed`: The ALB instance uses a fixed IP address. *`Dynamic`: An IP address is dynamically assigned to each zone of the ALB instance. :param pulumi.Input[str] address_type: The type of IP address that the ALB instance uses to provide services. Valid values: `Intranet`, `Internet`. :param pulumi.Input[bool] deletion_protection_enabled: The deletion protection enabled. Valid values: `true` and `false`. Default value: `false`. :param pulumi.Input[bool] dry_run: Specifies whether to precheck the API request. Valid values: `true` and `false`. :param pulumi.Input[pulumi.InputType['LoadBalancerLoadBalancerBillingConfigArgs']] load_balancer_billing_config: The configuration of the billing method. :param pulumi.Input[str] load_balancer_edition: The edition of the ALB instance. Different editions have different limits and billing methods. Valid values: `Basic` and `Standard`. :param pulumi.Input[str] load_balancer_name: The name of the resource. :param pulumi.Input[pulumi.InputType['LoadBalancerModificationProtectionConfigArgs']] modification_protection_config: Modify the Protection Configuration. :param pulumi.Input[str] resource_group_id: The ID of the resource group. :param pulumi.Input[str] vpc_id: The ID of the virtual private cloud (VPC) where the ALB instance is deployed. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LoadBalancerZoneMappingArgs']]]] zone_mappings: The zones and vSwitches. You must specify at least two zones. """ ... @overload def __init__(__self__, resource_name: str, args: LoadBalancerArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Provides a ALB Load Balancer resource. For information about ALB Load Balancer and how to use it, see [What is Load Balancer](https://www.alibabacloud.com/help/doc-detail/197341.htm). > **NOTE:** Available in v1.132.0+. ## Import ALB Load Balancer can be imported using the id, e.g. ```sh $ pulumi import alicloud:alb/loadBalancer:LoadBalancer example <id> ``` :param str resource_name: The name of the resource. :param LoadBalancerArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(LoadBalancerArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, access_log_config: Optional[pulumi.Input[pulumi.InputType['LoadBalancerAccessLogConfigArgs']]] = None, address_allocated_mode: Optional[pulumi.Input[str]] = None, address_type: Optional[pulumi.Input[str]] = None, deletion_protection_enabled: Optional[pulumi.Input[bool]] = None, dry_run: Optional[pulumi.Input[bool]] = None, load_balancer_billing_config: Optional[pulumi.Input[pulumi.InputType['LoadBalancerLoadBalancerBillingConfigArgs']]] = None, load_balancer_edition: Optional[pulumi.Input[str]] = None, load_balancer_name: Optional[pulumi.Input[str]] = None, modification_protection_config: Optional[pulumi.Input[pulumi.InputType['LoadBalancerModificationProtectionConfigArgs']]] = None, resource_group_id: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, vpc_id: Optional[pulumi.Input[str]] = None, zone_mappings: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LoadBalancerZoneMappingArgs']]]]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = LoadBalancerArgs.__new__(LoadBalancerArgs) __props__.__dict__["access_log_config"] = access_log_config __props__.__dict__["address_allocated_mode"] = address_allocated_mode if address_type is None and not opts.urn: raise TypeError("Missing required property 'address_type'") __props__.__dict__["address_type"] = address_type __props__.__dict__["deletion_protection_enabled"] = deletion_protection_enabled __props__.__dict__["dry_run"] = dry_run if load_balancer_billing_config is None and not opts.urn: raise TypeError("Missing required property 'load_balancer_billing_config'") __props__.__dict__["load_balancer_billing_config"] = load_balancer_billing_config if load_balancer_edition is None and not opts.urn: raise TypeError("Missing required property 'load_balancer_edition'") __props__.__dict__["load_balancer_edition"] = load_balancer_edition if load_balancer_name is None and not opts.urn: raise TypeError("Missing required property 'load_balancer_name'") __props__.__dict__["load_balancer_name"] = load_balancer_name __props__.__dict__["modification_protection_config"] = modification_protection_config __props__.__dict__["resource_group_id"] = resource_group_id __props__.__dict__["tags"] = tags if vpc_id is None and not opts.urn: raise TypeError("Missing required property 'vpc_id'") __props__.__dict__["vpc_id"] = vpc_id if zone_mappings is None and not opts.urn: raise TypeError("Missing required property 'zone_mappings'") __props__.__dict__["zone_mappings"] = zone_mappings __props__.__dict__["status"] = None super(LoadBalancer, __self__).__init__( 'alicloud:alb/loadBalancer:LoadBalancer', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, access_log_config: Optional[pulumi.Input[pulumi.InputType['LoadBalancerAccessLogConfigArgs']]] = None, address_allocated_mode: Optional[pulumi.Input[str]] = None, address_type: Optional[pulumi.Input[str]] = None, deletion_protection_enabled: Optional[pulumi.Input[bool]] = None, dry_run: Optional[pulumi.Input[bool]] = None, load_balancer_billing_config: Optional[pulumi.Input[pulumi.InputType['LoadBalancerLoadBalancerBillingConfigArgs']]] = None, load_balancer_edition: Optional[pulumi.Input[str]] = None, load_balancer_name: Optional[pulumi.Input[str]] = None, modification_protection_config: Optional[pulumi.Input[pulumi.InputType['LoadBalancerModificationProtectionConfigArgs']]] = None, resource_group_id: Optional[pulumi.Input[str]] = None, status: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, Any]]] = None, vpc_id: Optional[pulumi.Input[str]] = None, zone_mappings: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LoadBalancerZoneMappingArgs']]]]] = None) -> 'LoadBalancer': """ Get an existing LoadBalancer resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[pulumi.InputType['LoadBalancerAccessLogConfigArgs']] access_log_config: The Access Logging Configuration Structure. :param pulumi.Input[str] address_allocated_mode: The method in which IP addresses are assigned. Valid values: `Fixed` and `Dynamic`. Default value: `Dynamic`. *`Fixed`: The ALB instance uses a fixed IP address. *`Dynamic`: An IP address is dynamically assigned to each zone of the ALB instance. :param pulumi.Input[str] address_type: The type of IP address that the ALB instance uses to provide services. Valid values: `Intranet`, `Internet`. :param pulumi.Input[bool] deletion_protection_enabled: The deletion protection enabled. Valid values: `true` and `false`. Default value: `false`. :param pulumi.Input[bool] dry_run: Specifies whether to precheck the API request. Valid values: `true` and `false`. :param pulumi.Input[pulumi.InputType['LoadBalancerLoadBalancerBillingConfigArgs']] load_balancer_billing_config: The configuration of the billing method. :param pulumi.Input[str] load_balancer_edition: The edition of the ALB instance. Different editions have different limits and billing methods. Valid values: `Basic` and `Standard`. :param pulumi.Input[str] load_balancer_name: The name of the resource. :param pulumi.Input[pulumi.InputType['LoadBalancerModificationProtectionConfigArgs']] modification_protection_config: Modify the Protection Configuration. :param pulumi.Input[str] resource_group_id: The ID of the resource group. :param pulumi.Input[str] status: Specifies whether to enable the configuration read-only mode for the ALB instance. Valid values: `NonProtection` and `ConsoleProtection`. :param pulumi.Input[str] vpc_id: The ID of the virtual private cloud (VPC) where the ALB instance is deployed. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LoadBalancerZoneMappingArgs']]]] zone_mappings: The zones and vSwitches. You must specify at least two zones. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _LoadBalancerState.__new__(_LoadBalancerState) __props__.__dict__["access_log_config"] = access_log_config __props__.__dict__["address_allocated_mode"] = address_allocated_mode __props__.__dict__["address_type"] = address_type __props__.__dict__["deletion_protection_enabled"] = deletion_protection_enabled __props__.__dict__["dry_run"] = dry_run __props__.__dict__["load_balancer_billing_config"] = load_balancer_billing_config __props__.__dict__["load_balancer_edition"] = load_balancer_edition __props__.__dict__["load_balancer_name"] = load_balancer_name __props__.__dict__["modification_protection_config"] = modification_protection_config __props__.__dict__["resource_group_id"] = resource_group_id __props__.__dict__["status"] = status __props__.__dict__["tags"] = tags __props__.__dict__["vpc_id"] = vpc_id __props__.__dict__["zone_mappings"] = zone_mappings return LoadBalancer(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="accessLogConfig") def access_log_config(self) -> pulumi.Output[Optional['outputs.LoadBalancerAccessLogConfig']]: """ The Access Logging Configuration Structure. """ return pulumi.get(self, "access_log_config") @property @pulumi.getter(name="addressAllocatedMode") def address_allocated_mode(self) -> pulumi.Output[Optional[str]]: """ The method in which IP addresses are assigned. Valid values: `Fixed` and `Dynamic`. Default value: `Dynamic`. *`Fixed`: The ALB instance uses a fixed IP address. *`Dynamic`: An IP address is dynamically assigned to each zone of the ALB instance. """ return pulumi.get(self, "address_allocated_mode") @property @pulumi.getter(name="addressType") def address_type(self) -> pulumi.Output[str]: """ The type of IP address that the ALB instance uses to provide services. Valid values: `Intranet`, `Internet`. """ return pulumi.get(self, "address_type") @property @pulumi.getter(name="deletionProtectionEnabled") def deletion_protection_enabled(self) -> pulumi.Output[Optional[bool]]: """ The deletion protection enabled. Valid values: `true` and `false`. Default value: `false`. """ return pulumi.get(self, "deletion_protection_enabled") @property @pulumi.getter(name="dryRun") def dry_run(self) -> pulumi.Output[Optional[bool]]: """ Specifies whether to precheck the API request. Valid values: `true` and `false`. """ return pulumi.get(self, "dry_run") @property @pulumi.getter(name="loadBalancerBillingConfig") def load_balancer_billing_config(self) -> pulumi.Output['outputs.LoadBalancerLoadBalancerBillingConfig']: """ The configuration of the billing method. """ return pulumi.get(self, "load_balancer_billing_config") @property @pulumi.getter(name="loadBalancerEdition") def load_balancer_edition(self) -> pulumi.Output[str]: """ The edition of the ALB instance. Different editions have different limits and billing methods. Valid values: `Basic` and `Standard`. """ return pulumi.get(self, "load_balancer_edition") @property @pulumi.getter(name="loadBalancerName") def load_balancer_name(self) -> pulumi.Output[str]: """ The name of the resource. """ return pulumi.get(self, "load_balancer_name") @property @pulumi.getter(name="modificationProtectionConfig") def modification_protection_config(self) -> pulumi.Output['outputs.LoadBalancerModificationProtectionConfig']: """ Modify the Protection Configuration. """ return pulumi.get(self, "modification_protection_config") @property @pulumi.getter(name="resourceGroupId") def resource_group_id(self) -> pulumi.Output[str]: """ The ID of the resource group. """ return pulumi.get(self, "resource_group_id") @property @pulumi.getter def status(self) -> pulumi.Output[str]: """ Specifies whether to enable the configuration read-only mode for the ALB instance. Valid values: `NonProtection` and `ConsoleProtection`. """ return pulumi.get(self, "status") @property @pulumi.getter def tags(self) -> pulumi.Output[Optional[Mapping[str, Any]]]: return pulumi.get(self, "tags") @property @pulumi.getter(name="vpcId") def vpc_id(self) -> pulumi.Output[str]: """ The ID of the virtual private cloud (VPC) where the ALB instance is deployed. """ return pulumi.get(self, "vpc_id") @property @pulumi.getter(name="zoneMappings") def zone_mappings(self) -> pulumi.Output[Sequence['outputs.LoadBalancerZoneMapping']]: """ The zones and vSwitches. You must specify at least two zones. """ return pulumi.get(self, "zone_mappings")

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0e7df8332ce3f1a6cb7f94f2c87e5340f378689a

31

py

Python

applications/she/controllers/principal.py

DuFerreira/projeto-she

a97e1e3e7a1d817bcca3efe516b1dceac56eb44f

[ "BSD-3-Clause" ]

null

applications/she/controllers/principal.py

DuFerreira/projeto-she

a97e1e3e7a1d817bcca3efe516b1dceac56eb44f

[ "BSD-3-Clause" ]

null

applications/she/controllers/principal.py

DuFerreira/projeto-she

a97e1e3e7a1d817bcca3efe516b1dceac56eb44f

[ "BSD-3-Clause" ]

null

def login(): return locals()

10.333333

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1

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py

Python

tests/test_buffer.py

Jeremiah-England/Shapely

769b203f2b7cbeeb0a694c21440b4025a563f807

[ "BSD-3-Clause" ]

2,382

2015-01-04T03:16:59.000Z

2021-12-10T15:48:56.000Z

tests/test_buffer.py

Jeremiah-England/Shapely

769b203f2b7cbeeb0a694c21440b4025a563f807

[ "BSD-3-Clause" ]

1,009

2015-01-03T23:44:02.000Z

2021-12-10T16:02:42.000Z

tests/test_buffer.py

Jeremiah-England/Shapely

769b203f2b7cbeeb0a694c21440b4025a563f807

[ "BSD-3-Clause" ]

467

2015-01-19T23:18:33.000Z

2021-12-09T18:31:28.000Z

from . import unittest from shapely import geometry class BufferSingleSidedCase(unittest.TestCase): """ Test Buffer Point/Line/Polygon with and without single_sided params """ def test_empty(self): g = geometry.Point(0,0) h = g.buffer(0) assert h.is_empty def test_point(self): g = geometry.Point(0, 0) h = g.buffer(1, resolution=1) self.assertEqual(h.geom_type, 'Polygon') expected_coord = [(1.0, 0.0), (0, -1.0), (-1.0, 0), (0, 1.0), (1.0, 0.0)] for index, coord in enumerate(h.exterior.coords): self.assertAlmostEqual(coord[0], expected_coord[index][0]) self.assertAlmostEqual(coord[1], expected_coord[index][1]) def test_point_single_sidedd(self): g = geometry.Point(0, 0) h = g.buffer(1, resolution=1, single_sided=True) self.assertEqual(h.geom_type, 'Polygon') expected_coord = [(1.0, 0.0), (0, -1.0), (-1.0, 0), (0, 1.0), (1.0, 0.0)] for index, coord in enumerate(h.exterior.coords): self.assertAlmostEqual(coord[0], expected_coord[index][0]) self.assertAlmostEqual(coord[1], expected_coord[index][1]) def test_line(self): g = geometry.LineString([[0, 0], [0, 1]]) h = g.buffer(1, resolution=1) self.assertEqual(h.geom_type, 'Polygon') expected_coord = [(-1.0, 1.0), (0, 2.0), (1.0, 1.0), (1.0, 0.0), (0, -1.0), (-1.0, 0.0), (-1.0, 1.0)] for index, coord in enumerate(h.exterior.coords): self.assertAlmostEqual(coord[0], expected_coord[index][0]) self.assertAlmostEqual(coord[1], expected_coord[index][1]) def test_line_single_sideded_left(self): g = geometry.LineString([[0, 0], [0, 1]]) h = g.buffer(1, resolution=1, single_sided=True) self.assertEqual(h.geom_type, 'Polygon') expected_coord = [(0.0, 1.0), (0.0, 0.0), (-1.0, 0.0), (-1.0, 1.0), (0.0, 1.0)] for index, coord in enumerate(h.exterior.coords): self.assertAlmostEqual(coord[0], expected_coord[index][0]) self.assertAlmostEqual(coord[1], expected_coord[index][1]) def test_line_single_sideded_right(self): g = geometry.LineString([[0, 0], [0, 1]]) h = g.buffer(-1, resolution=1, single_sided=True) self.assertEqual(h.geom_type, 'Polygon') expected_coord = [(0.0, 0.0), (0.0, 1.0), (1.0, 1.0), (1.0, 0.0), (0.0, 0.0)] for index, coord in enumerate(h.exterior.coords): self.assertAlmostEqual(coord[0], expected_coord[index][0]) self.assertAlmostEqual(coord[1], expected_coord[index][1]) def test_polygon(self): g = geometry.Polygon([[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]]) h = g.buffer(1, resolution=1) self.assertEqual(h.geom_type, 'Polygon') expected_coord = [(-1.0, 0.0), (-1.0, 1.0), (0.0, 2.0), (1.0, 2.0), (2.0, 1.0), (2.0, 0.0), (1.0, -1.0), (0.0, -1.0), (-1.0, 0.0)] for index, coord in enumerate(h.exterior.coords): self.assertAlmostEqual(coord[0], expected_coord[index][0]) self.assertAlmostEqual(coord[1], expected_coord[index][1]) def test_polygon_single_sideded(self): g = geometry.Polygon([[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]]) h = g.buffer(1, resolution=1, single_sided=True) self.assertEqual(h.geom_type, 'Polygon') expected_coord = [(-1.0, 0.0), (-1.0, 1.0), (0.0, 2.0), (1.0, 2.0), (2.0, 1.0), (2.0, 0.0), (1.0, -1.0), (0.0, -1.0), (-1.0, 0.0)] for index, coord in enumerate(h.exterior.coords): self.assertAlmostEqual(coord[0], expected_coord[index][0]) self.assertAlmostEqual(coord[1], expected_coord[index][1])

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py

Python

pynos/versions/ver_7/ver_7_1_0/yang/brocade_dai.py

bdeetz/pynos

bd8a34e98f322de3fc06750827d8bbc3a0c00380

[ "Apache-2.0" ]

12

2015-09-21T23:56:09.000Z

2018-03-30T04:35:32.000Z

pynos/versions/ver_7/ver_7_1_0/yang/brocade_dai.py

bdeetz/pynos

bd8a34e98f322de3fc06750827d8bbc3a0c00380

[ "Apache-2.0" ]

10

2016-09-15T19:03:27.000Z

2017-07-17T23:38:01.000Z

pynos/versions/ver_7/ver_7_1_0/yang/brocade_dai.py

bdeetz/pynos

bd8a34e98f322de3fc06750827d8bbc3a0c00380

[ "Apache-2.0" ]

6

2015-08-14T08:05:23.000Z

2022-02-03T15:33:54.000Z

#!/usr/bin/env python import xml.etree.ElementTree as ET class brocade_dai(object): """Auto generated class. """ def __init__(self, **kwargs): self._callback = kwargs.pop('callback') def arp_access_list_acl_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") arp = ET.SubElement(config, "arp", xmlns="urn:brocade.com:mgmt:brocade-dai") access_list = ET.SubElement(arp, "access-list") acl_name = ET.SubElement(access_list, "acl-name") acl_name.text = kwargs.pop('acl_name') callback = kwargs.pop('callback', self._callback) return callback(config) def arp_access_list_permit_permit_list_ip_type(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") arp = ET.SubElement(config, "arp", xmlns="urn:brocade.com:mgmt:brocade-dai") access_list = ET.SubElement(arp, "access-list") acl_name_key = ET.SubElement(access_list, "acl-name") acl_name_key.text = kwargs.pop('acl_name') permit = ET.SubElement(access_list, "permit") permit_list = ET.SubElement(permit, "permit-list") host_ip_key = ET.SubElement(permit_list, "host-ip") host_ip_key.text = kwargs.pop('host_ip') mac_type_key = ET.SubElement(permit_list, "mac-type") mac_type_key.text = kwargs.pop('mac_type') host_mac_key = ET.SubElement(permit_list, "host-mac") host_mac_key.text = kwargs.pop('host_mac') ip_type = ET.SubElement(permit_list, "ip-type") ip_type.text = kwargs.pop('ip_type') callback = kwargs.pop('callback', self._callback) return callback(config) def arp_access_list_permit_permit_list_host_ip(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") arp = ET.SubElement(config, "arp", xmlns="urn:brocade.com:mgmt:brocade-dai") access_list = ET.SubElement(arp, "access-list") acl_name_key = ET.SubElement(access_list, "acl-name") acl_name_key.text = kwargs.pop('acl_name') permit = ET.SubElement(access_list, "permit") permit_list = ET.SubElement(permit, "permit-list") ip_type_key = ET.SubElement(permit_list, "ip-type") ip_type_key.text = kwargs.pop('ip_type') mac_type_key = ET.SubElement(permit_list, "mac-type") mac_type_key.text = kwargs.pop('mac_type') host_mac_key = ET.SubElement(permit_list, "host-mac") host_mac_key.text = kwargs.pop('host_mac') host_ip = ET.SubElement(permit_list, "host-ip") host_ip.text = kwargs.pop('host_ip') callback = kwargs.pop('callback', self._callback) return callback(config) def arp_access_list_permit_permit_list_mac_type(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") arp = ET.SubElement(config, "arp", xmlns="urn:brocade.com:mgmt:brocade-dai") access_list = ET.SubElement(arp, "access-list") acl_name_key = ET.SubElement(access_list, "acl-name") acl_name_key.text = kwargs.pop('acl_name') permit = ET.SubElement(access_list, "permit") permit_list = ET.SubElement(permit, "permit-list") ip_type_key = ET.SubElement(permit_list, "ip-type") ip_type_key.text = kwargs.pop('ip_type') host_ip_key = ET.SubElement(permit_list, "host-ip") host_ip_key.text = kwargs.pop('host_ip') host_mac_key = ET.SubElement(permit_list, "host-mac") host_mac_key.text = kwargs.pop('host_mac') mac_type = ET.SubElement(permit_list, "mac-type") mac_type.text = kwargs.pop('mac_type') callback = kwargs.pop('callback', self._callback) return callback(config) def arp_access_list_permit_permit_list_host_mac(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") arp = ET.SubElement(config, "arp", xmlns="urn:brocade.com:mgmt:brocade-dai") access_list = ET.SubElement(arp, "access-list") acl_name_key = ET.SubElement(access_list, "acl-name") acl_name_key.text = kwargs.pop('acl_name') permit = ET.SubElement(access_list, "permit") permit_list = ET.SubElement(permit, "permit-list") ip_type_key = ET.SubElement(permit_list, "ip-type") ip_type_key.text = kwargs.pop('ip_type') host_ip_key = ET.SubElement(permit_list, "host-ip") host_ip_key.text = kwargs.pop('host_ip') mac_type_key = ET.SubElement(permit_list, "mac-type") mac_type_key.text = kwargs.pop('mac_type') host_mac = ET.SubElement(permit_list, "host-mac") host_mac.text = kwargs.pop('host_mac') callback = kwargs.pop('callback', self._callback) return callback(config) def arp_access_list_permit_permit_list_log(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") arp = ET.SubElement(config, "arp", xmlns="urn:brocade.com:mgmt:brocade-dai") access_list = ET.SubElement(arp, "access-list") acl_name_key = ET.SubElement(access_list, "acl-name") acl_name_key.text = kwargs.pop('acl_name') permit = ET.SubElement(access_list, "permit") permit_list = ET.SubElement(permit, "permit-list") ip_type_key = ET.SubElement(permit_list, "ip-type") ip_type_key.text = kwargs.pop('ip_type') host_ip_key = ET.SubElement(permit_list, "host-ip") host_ip_key.text = kwargs.pop('host_ip') mac_type_key = ET.SubElement(permit_list, "mac-type") mac_type_key.text = kwargs.pop('mac_type') host_mac_key = ET.SubElement(permit_list, "host-mac") host_mac_key.text = kwargs.pop('host_mac') log = ET.SubElement(permit_list, "log") callback = kwargs.pop('callback', self._callback) return callback(config) def arp_access_list_acl_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") arp = ET.SubElement(config, "arp", xmlns="urn:brocade.com:mgmt:brocade-dai") access_list = ET.SubElement(arp, "access-list") acl_name = ET.SubElement(access_list, "acl-name") acl_name.text = kwargs.pop('acl_name') callback = kwargs.pop('callback', self._callback) return callback(config) def arp_access_list_permit_permit_list_ip_type(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") arp = ET.SubElement(config, "arp", xmlns="urn:brocade.com:mgmt:brocade-dai") access_list = ET.SubElement(arp, "access-list") acl_name_key = ET.SubElement(access_list, "acl-name") acl_name_key.text = kwargs.pop('acl_name') permit = ET.SubElement(access_list, "permit") permit_list = ET.SubElement(permit, "permit-list") host_ip_key = ET.SubElement(permit_list, "host-ip") host_ip_key.text = kwargs.pop('host_ip') mac_type_key = ET.SubElement(permit_list, "mac-type") mac_type_key.text = kwargs.pop('mac_type') host_mac_key = ET.SubElement(permit_list, "host-mac") host_mac_key.text = kwargs.pop('host_mac') ip_type = ET.SubElement(permit_list, "ip-type") ip_type.text = kwargs.pop('ip_type') callback = kwargs.pop('callback', self._callback) return callback(config) def arp_access_list_permit_permit_list_host_ip(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") arp = ET.SubElement(config, "arp", xmlns="urn:brocade.com:mgmt:brocade-dai") access_list = ET.SubElement(arp, "access-list") acl_name_key = ET.SubElement(access_list, "acl-name") acl_name_key.text = kwargs.pop('acl_name') permit = ET.SubElement(access_list, "permit") permit_list = ET.SubElement(permit, "permit-list") ip_type_key = ET.SubElement(permit_list, "ip-type") ip_type_key.text = kwargs.pop('ip_type') mac_type_key = ET.SubElement(permit_list, "mac-type") mac_type_key.text = kwargs.pop('mac_type') host_mac_key = ET.SubElement(permit_list, "host-mac") host_mac_key.text = kwargs.pop('host_mac') host_ip = ET.SubElement(permit_list, "host-ip") host_ip.text = kwargs.pop('host_ip') callback = kwargs.pop('callback', self._callback) return callback(config) def arp_access_list_permit_permit_list_mac_type(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") arp = ET.SubElement(config, "arp", xmlns="urn:brocade.com:mgmt:brocade-dai") access_list = ET.SubElement(arp, "access-list") acl_name_key = ET.SubElement(access_list, "acl-name") acl_name_key.text = kwargs.pop('acl_name') permit = ET.SubElement(access_list, "permit") permit_list = ET.SubElement(permit, "permit-list") ip_type_key = ET.SubElement(permit_list, "ip-type") ip_type_key.text = kwargs.pop('ip_type') host_ip_key = ET.SubElement(permit_list, "host-ip") host_ip_key.text = kwargs.pop('host_ip') host_mac_key = ET.SubElement(permit_list, "host-mac") host_mac_key.text = kwargs.pop('host_mac') mac_type = ET.SubElement(permit_list, "mac-type") mac_type.text = kwargs.pop('mac_type') callback = kwargs.pop('callback', self._callback) return callback(config) def arp_access_list_permit_permit_list_host_mac(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") arp = ET.SubElement(config, "arp", xmlns="urn:brocade.com:mgmt:brocade-dai") access_list = ET.SubElement(arp, "access-list") acl_name_key = ET.SubElement(access_list, "acl-name") acl_name_key.text = kwargs.pop('acl_name') permit = ET.SubElement(access_list, "permit") permit_list = ET.SubElement(permit, "permit-list") ip_type_key = ET.SubElement(permit_list, "ip-type") ip_type_key.text = kwargs.pop('ip_type') host_ip_key = ET.SubElement(permit_list, "host-ip") host_ip_key.text = kwargs.pop('host_ip') mac_type_key = ET.SubElement(permit_list, "mac-type") mac_type_key.text = kwargs.pop('mac_type') host_mac = ET.SubElement(permit_list, "host-mac") host_mac.text = kwargs.pop('host_mac') callback = kwargs.pop('callback', self._callback) return callback(config) def arp_access_list_permit_permit_list_log(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") arp = ET.SubElement(config, "arp", xmlns="urn:brocade.com:mgmt:brocade-dai") access_list = ET.SubElement(arp, "access-list") acl_name_key = ET.SubElement(access_list, "acl-name") acl_name_key.text = kwargs.pop('acl_name') permit = ET.SubElement(access_list, "permit") permit_list = ET.SubElement(permit, "permit-list") ip_type_key = ET.SubElement(permit_list, "ip-type") ip_type_key.text = kwargs.pop('ip_type') host_ip_key = ET.SubElement(permit_list, "host-ip") host_ip_key.text = kwargs.pop('host_ip') mac_type_key = ET.SubElement(permit_list, "mac-type") mac_type_key.text = kwargs.pop('mac_type') host_mac_key = ET.SubElement(permit_list, "host-mac") host_mac_key.text = kwargs.pop('host_mac') log = ET.SubElement(permit_list, "log") callback = kwargs.pop('callback', self._callback) return callback(config)

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bc014951f6ff3112bc5ec97b286b23b60cdb4763

1,242

py

Python

erri/python/lesson_51/divisibility_test.py

TGITS/programming-workouts

799e805ccf3fd0936ec8ac2417f7193b8e9bcb55

[ "MIT" ]

null

erri/python/lesson_51/divisibility_test.py

TGITS/programming-workouts

799e805ccf3fd0936ec8ac2417f7193b8e9bcb55

[ "MIT" ]

16

2020-05-30T12:38:13.000Z

2022-02-19T09:23:31.000Z

erri/python/lesson_51/divisibility_test.py

TGITS/programming-workouts

799e805ccf3fd0936ec8ac2417f7193b8e9bcb55

[ "MIT" ]

null

import divisibility def test_divisible_numbers_by_5_and_7_between_1_10(): numbers = divisibility.numbers_divisible_by_5_and_7_between_values(0, 10) print(numbers) assert 1 == len(numbers) assert [0] == numbers def test_divisible_numbers_by_5_and_7_between_1_35(): numbers = divisibility.numbers_divisible_by_5_and_7_between_values(0, 35) print(numbers) assert 2 == len(numbers) assert [0, 35] == numbers def test_divisible_numbers_by_5_and_7_between_300_450(): numbers = divisibility.numbers_divisible_by_5_and_7_between_values(300, 450) assert 4 == len(numbers) assert [315, 350, 385, 420] == numbers def test_divisible_numbers_by_5_and_13_between_1_10(): numbers = divisibility.numbers_divisible_by_5_and_13_between_values(0, 10) assert 1 == len(numbers) assert [0] == numbers def test_divisible_numbers_by_5_and_13_between_1_85(): numbers = divisibility.numbers_divisible_by_5_and_13_between_values(0, 85) assert 2 == len(numbers) assert [0, 65] == numbers def test_divisible_numbers_by_5_and_13_between_300_450(): numbers = divisibility.numbers_divisible_by_5_and_13_between_values(300, 450) assert 2 == len(numbers) assert [325, 390] == numbers

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bc2385557e04caefea3ff247698ca97e463f867b

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py

Python

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_subscriber_pppoe_ma_oper.py

CiscoDevNet/ydk-py

073731fea50694d0bc6cd8ebf10fec308dcc0aa9

[ "ECL-2.0", "Apache-2.0" ]

177

2016-03-15T17:03:51.000Z

2022-03-18T16:48:44.000Z

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_subscriber_pppoe_ma_oper.py

CiscoDevNet/ydk-py

073731fea50694d0bc6cd8ebf10fec308dcc0aa9

[ "ECL-2.0", "Apache-2.0" ]

18

2016-03-30T10:45:22.000Z

2020-07-14T16:28:13.000Z

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_subscriber_pppoe_ma_oper.py

CiscoDevNet/ydk-py

073731fea50694d0bc6cd8ebf10fec308dcc0aa9

[ "ECL-2.0", "Apache-2.0" ]

85

2016-03-16T20:38:57.000Z

2022-02-22T04:26:02.000Z

""" Cisco_IOS_XR_subscriber_pppoe_ma_oper This module contains a collection of YANG definitions for Cisco IOS\-XR subscriber\-pppoe\-ma package operational data. This module contains definitions for the following management objects\: pppoe\: PPPoE operational data Copyright (c) 2013\-2018 by Cisco Systems, Inc. All rights reserved. """ import sys from collections import OrderedDict from ydk.types import Entity as _Entity_ from ydk.types import EntityPath, Identity, Enum, YType, YLeaf, YLeafList, YList, LeafDataList, Bits, Empty, Decimal64 from ydk.types import Entity, EntityPath, Identity, Enum, YType, YLeaf, YLeafList, YList, LeafDataList, Bits, Empty, Decimal64 from ydk.filters import YFilter from ydk.errors import YError, YModelError from ydk.errors.error_handler import handle_type_error as _handle_type_error class PppoeMaLimitState(Enum): """ PppoeMaLimitState (Enum Class) Pppoe ma limit state .. data:: ok = 0 OK State .. data:: warning = 1 Warn State .. data:: block = 2 Block State """ ok = Enum.YLeaf(0, "ok") warning = Enum.YLeaf(1, "warning") block = Enum.YLeaf(2, "block") @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['PppoeMaLimitState'] class PppoeMaSessionIdbSrgState(Enum): """ PppoeMaSessionIdbSrgState (Enum Class) Pppoe ma session idb srg state .. data:: none = 0 SRG-None state .. data:: active = 1 SRG-Active state .. data:: standby = 2 SRG-Standby state """ none = Enum.YLeaf(0, "none") active = Enum.YLeaf(1, "active") standby = Enum.YLeaf(2, "standby") @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['PppoeMaSessionIdbSrgState'] class PppoeMaSessionState(Enum): """ PppoeMaSessionState (Enum Class) Pppoe ma session state .. data:: destroying = 0 Destroying session .. data:: deleting = 1 Deleting interface .. data:: initializing = 2 Initializing .. data:: created = 3 Interface created .. data:: stopping = 4 Stopping AAA session .. data:: started = 5 AAA session started .. data:: activated = 6 SubDB Config activated .. data:: complete = 7 Complete """ destroying = Enum.YLeaf(0, "destroying") deleting = Enum.YLeaf(1, "deleting") initializing = Enum.YLeaf(2, "initializing") created = Enum.YLeaf(3, "created") stopping = Enum.YLeaf(4, "stopping") started = Enum.YLeaf(5, "started") activated = Enum.YLeaf(6, "activated") complete = Enum.YLeaf(7, "complete") @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['PppoeMaSessionState'] class PppoeMaSessionTrig(Enum): """ PppoeMaSessionTrig (Enum Class) Pppoe ma session trig .. data:: pppoe_ma_session_trig_error = 0 pppoe ma session trig error .. data:: pppoe_ma_session_trig_publish_encaps_attr_fail = 1 pppoe ma session trig publish encaps attr fail .. data:: pppoe_ma_session_trig_if_create_fail = 2 pppoe ma session trig if create fail .. data:: pppoe_ma_session_trig_iedge_session_start_fail = 3 pppoe ma session trig iedge session start fail .. data:: pppoe_ma_session_trig_iedge_session_update_fail = 4 pppoe ma session trig iedge session update fail .. data:: pppoe_ma_session_trig_sub_db_activate_fail = 5 pppoe ma session trig sub db activate fail .. data:: pppoe_ma_session_trig_in_flight_timeout = 6 pppoe ma session trig in flight timeout .. data:: pppoe_ma_session_trig_down = 7 pppoe ma session trig down .. data:: pppoe_ma_session_trig_parent = 8 pppoe ma session trig parent .. data:: pppoe_ma_session_trig_padt = 9 pppoe ma session trig padt .. data:: pppoe_ma_session_trig_session_pak = 10 pppoe ma session trig session pak .. data:: pppoe_ma_session_trig_final = 11 pppoe ma session trig final .. data:: pppoe_ma_session_trig_no_im_or = 12 pppoe ma session trig no im or .. data:: pppoe_ma_session_trig_restart = 13 pppoe ma session trig restart .. data:: pppoe_ma_session_trig_admissions_config_change = 14 pppoe ma session trig admissions config change .. data:: pppoe_ma_session_trig_iedge_disconnect = 15 pppoe ma session trig iedge disconnect .. data:: pppoe_ma_session_trig_invalid_vlan_tags = 16 pppoe ma session trig invalid vlan tags .. data:: pppoe_ma_session_trig_port_limit_disconnect = 17 pppoe ma session trig port limit disconnect .. data:: pppoe_ma_session_trig_srg_disconnect = 18 pppoe ma session trig srg disconnect .. data:: pppoe_ma_session_trig_srg_sweep = 19 pppoe ma session trig srg sweep .. data:: pppoe_ma_session_trig_renegotiation = 20 pppoe ma session trig renegotiation .. data:: pppoe_ma_session_trig_count = 21 pppoe ma session trig count """ pppoe_ma_session_trig_error = Enum.YLeaf(0, "pppoe-ma-session-trig-error") pppoe_ma_session_trig_publish_encaps_attr_fail = Enum.YLeaf(1, "pppoe-ma-session-trig-publish-encaps-attr-fail") pppoe_ma_session_trig_if_create_fail = Enum.YLeaf(2, "pppoe-ma-session-trig-if-create-fail") pppoe_ma_session_trig_iedge_session_start_fail = Enum.YLeaf(3, "pppoe-ma-session-trig-iedge-session-start-fail") pppoe_ma_session_trig_iedge_session_update_fail = Enum.YLeaf(4, "pppoe-ma-session-trig-iedge-session-update-fail") pppoe_ma_session_trig_sub_db_activate_fail = Enum.YLeaf(5, "pppoe-ma-session-trig-sub-db-activate-fail") pppoe_ma_session_trig_in_flight_timeout = Enum.YLeaf(6, "pppoe-ma-session-trig-in-flight-timeout") pppoe_ma_session_trig_down = Enum.YLeaf(7, "pppoe-ma-session-trig-down") pppoe_ma_session_trig_parent = Enum.YLeaf(8, "pppoe-ma-session-trig-parent") pppoe_ma_session_trig_padt = Enum.YLeaf(9, "pppoe-ma-session-trig-padt") pppoe_ma_session_trig_session_pak = Enum.YLeaf(10, "pppoe-ma-session-trig-session-pak") pppoe_ma_session_trig_final = Enum.YLeaf(11, "pppoe-ma-session-trig-final") pppoe_ma_session_trig_no_im_or = Enum.YLeaf(12, "pppoe-ma-session-trig-no-im-or") pppoe_ma_session_trig_restart = Enum.YLeaf(13, "pppoe-ma-session-trig-restart") pppoe_ma_session_trig_admissions_config_change = Enum.YLeaf(14, "pppoe-ma-session-trig-admissions-config-change") pppoe_ma_session_trig_iedge_disconnect = Enum.YLeaf(15, "pppoe-ma-session-trig-iedge-disconnect") pppoe_ma_session_trig_invalid_vlan_tags = Enum.YLeaf(16, "pppoe-ma-session-trig-invalid-vlan-tags") pppoe_ma_session_trig_port_limit_disconnect = Enum.YLeaf(17, "pppoe-ma-session-trig-port-limit-disconnect") pppoe_ma_session_trig_srg_disconnect = Enum.YLeaf(18, "pppoe-ma-session-trig-srg-disconnect") pppoe_ma_session_trig_srg_sweep = Enum.YLeaf(19, "pppoe-ma-session-trig-srg-sweep") pppoe_ma_session_trig_renegotiation = Enum.YLeaf(20, "pppoe-ma-session-trig-renegotiation") pppoe_ma_session_trig_count = Enum.YLeaf(21, "pppoe-ma-session-trig-count") @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['PppoeMaSessionTrig'] class PppoeMaThrottleState(Enum): """ PppoeMaThrottleState (Enum Class) Pppoe ma throttle state .. data:: idle = 0 Idle State .. data:: monitor = 1 Monitor State .. data:: block = 2 Block State """ idle = Enum.YLeaf(0, "idle") monitor = Enum.YLeaf(1, "monitor") block = Enum.YLeaf(2, "block") @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['PppoeMaThrottleState'] class Pppoe(_Entity_): """ PPPoE operational data .. attribute:: access_interface_statistics PPPoE access interface statistics information **type**\: :py:class:`AccessInterfaceStatistics <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.AccessInterfaceStatistics>` **config**\: False .. attribute:: nodes Per\-node PPPoE operational data **type**\: :py:class:`Nodes <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe, self).__init__() self._top_entity = None self.yang_name = "pppoe" self.yang_parent_name = "Cisco-IOS-XR-subscriber-pppoe-ma-oper" self.is_top_level_class = True self.has_list_ancestor = False self.ylist_key_names = [] self._child_classes = OrderedDict([("access-interface-statistics", ("access_interface_statistics", Pppoe.AccessInterfaceStatistics)), ("nodes", ("nodes", Pppoe.Nodes))]) self._leafs = OrderedDict() self.access_interface_statistics = Pppoe.AccessInterfaceStatistics() self.access_interface_statistics.parent = self self._children_name_map["access_interface_statistics"] = "access-interface-statistics" self.nodes = Pppoe.Nodes() self.nodes.parent = self self._children_name_map["nodes"] = "nodes" self._segment_path = lambda: "Cisco-IOS-XR-subscriber-pppoe-ma-oper:pppoe" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe, [], name, value) class AccessInterfaceStatistics(_Entity_): """ PPPoE access interface statistics information .. attribute:: access_interface_statistic Statistics information for a PPPoE\-enabled access interface **type**\: list of :py:class:`AccessInterfaceStatistic <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.AccessInterfaceStatistics, self).__init__() self.yang_name = "access-interface-statistics" self.yang_parent_name = "pppoe" self.is_top_level_class = False self.has_list_ancestor = False self.ylist_key_names = [] self._child_classes = OrderedDict([("access-interface-statistic", ("access_interface_statistic", Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic))]) self._leafs = OrderedDict() self.access_interface_statistic = YList(self) self._segment_path = lambda: "access-interface-statistics" self._absolute_path = lambda: "Cisco-IOS-XR-subscriber-pppoe-ma-oper:pppoe/%s" % self._segment_path() self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.AccessInterfaceStatistics, [], name, value) class AccessInterfaceStatistic(_Entity_): """ Statistics information for a PPPoE\-enabled access interface .. attribute:: interface_name (key) PPPoE Access Interface **type**\: str **pattern:** [a\-zA\-Z0\-9.\_/\-]+ **config**\: False .. attribute:: packet_counts Packet Counts **type**\: :py:class:`PacketCounts <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic, self).__init__() self.yang_name = "access-interface-statistic" self.yang_parent_name = "access-interface-statistics" self.is_top_level_class = False self.has_list_ancestor = False self.ylist_key_names = ['interface_name'] self._child_classes = OrderedDict([("packet-counts", ("packet_counts", Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts))]) self._leafs = OrderedDict([ ('interface_name', (YLeaf(YType.str, 'interface-name'), ['str'])), ]) self.interface_name = None self.packet_counts = Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts() self.packet_counts.parent = self self._children_name_map["packet_counts"] = "packet-counts" self._segment_path = lambda: "access-interface-statistic" + "[interface-name='" + str(self.interface_name) + "']" self._absolute_path = lambda: "Cisco-IOS-XR-subscriber-pppoe-ma-oper:pppoe/access-interface-statistics/%s" % self._segment_path() self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic, ['interface_name'], name, value) class PacketCounts(_Entity_): """ Packet Counts .. attribute:: padi PADI counts **type**\: :py:class:`Padi <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Padi>` **config**\: False .. attribute:: pado PADO counts **type**\: :py:class:`Pado <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Pado>` **config**\: False .. attribute:: padr PADR counts **type**\: :py:class:`Padr <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Padr>` **config**\: False .. attribute:: pads_success PADS Success counts **type**\: :py:class:`PadsSuccess <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.PadsSuccess>` **config**\: False .. attribute:: pads_error PADS Error counts **type**\: :py:class:`PadsError <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.PadsError>` **config**\: False .. attribute:: padt PADT counts **type**\: :py:class:`Padt <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Padt>` **config**\: False .. attribute:: session_state Session Stage counts **type**\: :py:class:`SessionState <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.SessionState>` **config**\: False .. attribute:: other Other counts **type**\: :py:class:`Other <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Other>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts, self).__init__() self.yang_name = "packet-counts" self.yang_parent_name = "access-interface-statistic" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("padi", ("padi", Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Padi)), ("pado", ("pado", Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Pado)), ("padr", ("padr", Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Padr)), ("pads-success", ("pads_success", Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.PadsSuccess)), ("pads-error", ("pads_error", Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.PadsError)), ("padt", ("padt", Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Padt)), ("session-state", ("session_state", Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.SessionState)), ("other", ("other", Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Other))]) self._leafs = OrderedDict() self.padi = Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Padi() self.padi.parent = self self._children_name_map["padi"] = "padi" self.pado = Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Pado() self.pado.parent = self self._children_name_map["pado"] = "pado" self.padr = Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Padr() self.padr.parent = self self._children_name_map["padr"] = "padr" self.pads_success = Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.PadsSuccess() self.pads_success.parent = self self._children_name_map["pads_success"] = "pads-success" self.pads_error = Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.PadsError() self.pads_error.parent = self self._children_name_map["pads_error"] = "pads-error" self.padt = Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Padt() self.padt.parent = self self._children_name_map["padt"] = "padt" self.session_state = Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.SessionState() self.session_state.parent = self self._children_name_map["session_state"] = "session-state" self.other = Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Other() self.other.parent = self self._children_name_map["other"] = "other" self._segment_path = lambda: "packet-counts" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts, [], name, value) class Padi(_Entity_): """ PADI counts .. attribute:: sent Sent **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: received Received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dropped Dropped **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Padi, self).__init__() self.yang_name = "padi" self.yang_parent_name = "packet-counts" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('sent', (YLeaf(YType.uint32, 'sent'), ['int'])), ('received', (YLeaf(YType.uint32, 'received'), ['int'])), ('dropped', (YLeaf(YType.uint32, 'dropped'), ['int'])), ]) self.sent = None self.received = None self.dropped = None self._segment_path = lambda: "padi" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Padi, ['sent', 'received', 'dropped'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Padi']['meta_info'] class Pado(_Entity_): """ PADO counts .. attribute:: sent Sent **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: received Received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dropped Dropped **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Pado, self).__init__() self.yang_name = "pado" self.yang_parent_name = "packet-counts" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('sent', (YLeaf(YType.uint32, 'sent'), ['int'])), ('received', (YLeaf(YType.uint32, 'received'), ['int'])), ('dropped', (YLeaf(YType.uint32, 'dropped'), ['int'])), ]) self.sent = None self.received = None self.dropped = None self._segment_path = lambda: "pado" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Pado, ['sent', 'received', 'dropped'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Pado']['meta_info'] class Padr(_Entity_): """ PADR counts .. attribute:: sent Sent **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: received Received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dropped Dropped **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Padr, self).__init__() self.yang_name = "padr" self.yang_parent_name = "packet-counts" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('sent', (YLeaf(YType.uint32, 'sent'), ['int'])), ('received', (YLeaf(YType.uint32, 'received'), ['int'])), ('dropped', (YLeaf(YType.uint32, 'dropped'), ['int'])), ]) self.sent = None self.received = None self.dropped = None self._segment_path = lambda: "padr" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Padr, ['sent', 'received', 'dropped'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Padr']['meta_info'] class PadsSuccess(_Entity_): """ PADS Success counts .. attribute:: sent Sent **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: received Received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dropped Dropped **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.PadsSuccess, self).__init__() self.yang_name = "pads-success" self.yang_parent_name = "packet-counts" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('sent', (YLeaf(YType.uint32, 'sent'), ['int'])), ('received', (YLeaf(YType.uint32, 'received'), ['int'])), ('dropped', (YLeaf(YType.uint32, 'dropped'), ['int'])), ]) self.sent = None self.received = None self.dropped = None self._segment_path = lambda: "pads-success" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.PadsSuccess, ['sent', 'received', 'dropped'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.PadsSuccess']['meta_info'] class PadsError(_Entity_): """ PADS Error counts .. attribute:: sent Sent **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: received Received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dropped Dropped **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.PadsError, self).__init__() self.yang_name = "pads-error" self.yang_parent_name = "packet-counts" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('sent', (YLeaf(YType.uint32, 'sent'), ['int'])), ('received', (YLeaf(YType.uint32, 'received'), ['int'])), ('dropped', (YLeaf(YType.uint32, 'dropped'), ['int'])), ]) self.sent = None self.received = None self.dropped = None self._segment_path = lambda: "pads-error" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.PadsError, ['sent', 'received', 'dropped'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.PadsError']['meta_info'] class Padt(_Entity_): """ PADT counts .. attribute:: sent Sent **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: received Received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dropped Dropped **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Padt, self).__init__() self.yang_name = "padt" self.yang_parent_name = "packet-counts" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('sent', (YLeaf(YType.uint32, 'sent'), ['int'])), ('received', (YLeaf(YType.uint32, 'received'), ['int'])), ('dropped', (YLeaf(YType.uint32, 'dropped'), ['int'])), ]) self.sent = None self.received = None self.dropped = None self._segment_path = lambda: "padt" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Padt, ['sent', 'received', 'dropped'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Padt']['meta_info'] class SessionState(_Entity_): """ Session Stage counts .. attribute:: sent Sent **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: received Received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dropped Dropped **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.SessionState, self).__init__() self.yang_name = "session-state" self.yang_parent_name = "packet-counts" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('sent', (YLeaf(YType.uint32, 'sent'), ['int'])), ('received', (YLeaf(YType.uint32, 'received'), ['int'])), ('dropped', (YLeaf(YType.uint32, 'dropped'), ['int'])), ]) self.sent = None self.received = None self.dropped = None self._segment_path = lambda: "session-state" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.SessionState, ['sent', 'received', 'dropped'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.SessionState']['meta_info'] class Other(_Entity_): """ Other counts .. attribute:: sent Sent **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: received Received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dropped Dropped **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Other, self).__init__() self.yang_name = "other" self.yang_parent_name = "packet-counts" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('sent', (YLeaf(YType.uint32, 'sent'), ['int'])), ('received', (YLeaf(YType.uint32, 'received'), ['int'])), ('dropped', (YLeaf(YType.uint32, 'dropped'), ['int'])), ]) self.sent = None self.received = None self.dropped = None self._segment_path = lambda: "other" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Other, ['sent', 'received', 'dropped'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts.Other']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic.PacketCounts']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.AccessInterfaceStatistics.AccessInterfaceStatistic']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.AccessInterfaceStatistics']['meta_info'] class Nodes(_Entity_): """ Per\-node PPPoE operational data .. attribute:: node PPPoE operational data for a particular node **type**\: list of :py:class:`Node <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes, self).__init__() self.yang_name = "nodes" self.yang_parent_name = "pppoe" self.is_top_level_class = False self.has_list_ancestor = False self.ylist_key_names = [] self._child_classes = OrderedDict([("node", ("node", Pppoe.Nodes.Node))]) self._leafs = OrderedDict() self.node = YList(self) self._segment_path = lambda: "nodes" self._absolute_path = lambda: "Cisco-IOS-XR-subscriber-pppoe-ma-oper:pppoe/%s" % self._segment_path() self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes, [], name, value) class Node(_Entity_): """ PPPoE operational data for a particular node .. attribute:: node_name (key) Node **type**\: str **pattern:** ([a\-zA\-Z0\-9\_]\*\\d+/){1,2}([a\-zA\-Z0\-9\_]\*\\d+) **config**\: False .. attribute:: disconnect_history PPPoE disconnect history for a given node **type**\: :py:class:`DisconnectHistory <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.DisconnectHistory>` **config**\: False .. attribute:: disconnect_history_unique PPPoE unique disconnect history for a given node **type**\: :py:class:`DisconnectHistoryUnique <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.DisconnectHistoryUnique>` **config**\: False .. attribute:: statistics PPPoE statistics for a given node **type**\: :py:class:`Statistics <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.Statistics>` **config**\: False .. attribute:: access_interface PPPoE access interface information **type**\: :py:class:`AccessInterface <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.AccessInterface>` **config**\: False .. attribute:: interfaces Per interface PPPoE operational data **type**\: :py:class:`Interfaces <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.Interfaces>` **config**\: False .. attribute:: bba_groups PPPoE BBA\-Group information **type**\: :py:class:`BbaGroups <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups>` **config**\: False .. attribute:: summary_total PPPoE statistics for a given node **type**\: :py:class:`SummaryTotal <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.SummaryTotal>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node, self).__init__() self.yang_name = "node" self.yang_parent_name = "nodes" self.is_top_level_class = False self.has_list_ancestor = False self.ylist_key_names = ['node_name'] self._child_classes = OrderedDict([("disconnect-history", ("disconnect_history", Pppoe.Nodes.Node.DisconnectHistory)), ("disconnect-history-unique", ("disconnect_history_unique", Pppoe.Nodes.Node.DisconnectHistoryUnique)), ("statistics", ("statistics", Pppoe.Nodes.Node.Statistics)), ("access-interface", ("access_interface", Pppoe.Nodes.Node.AccessInterface)), ("interfaces", ("interfaces", Pppoe.Nodes.Node.Interfaces)), ("bba-groups", ("bba_groups", Pppoe.Nodes.Node.BbaGroups)), ("summary-total", ("summary_total", Pppoe.Nodes.Node.SummaryTotal))]) self._leafs = OrderedDict([ ('node_name', (YLeaf(YType.str, 'node-name'), ['str'])), ]) self.node_name = None self.disconnect_history = Pppoe.Nodes.Node.DisconnectHistory() self.disconnect_history.parent = self self._children_name_map["disconnect_history"] = "disconnect-history" self.disconnect_history_unique = Pppoe.Nodes.Node.DisconnectHistoryUnique() self.disconnect_history_unique.parent = self self._children_name_map["disconnect_history_unique"] = "disconnect-history-unique" self.statistics = Pppoe.Nodes.Node.Statistics() self.statistics.parent = self self._children_name_map["statistics"] = "statistics" self.access_interface = Pppoe.Nodes.Node.AccessInterface() self.access_interface.parent = self self._children_name_map["access_interface"] = "access-interface" self.interfaces = Pppoe.Nodes.Node.Interfaces() self.interfaces.parent = self self._children_name_map["interfaces"] = "interfaces" self.bba_groups = Pppoe.Nodes.Node.BbaGroups() self.bba_groups.parent = self self._children_name_map["bba_groups"] = "bba-groups" self.summary_total = Pppoe.Nodes.Node.SummaryTotal() self.summary_total.parent = self self._children_name_map["summary_total"] = "summary-total" self._segment_path = lambda: "node" + "[node-name='" + str(self.node_name) + "']" self._absolute_path = lambda: "Cisco-IOS-XR-subscriber-pppoe-ma-oper:pppoe/nodes/%s" % self._segment_path() self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node, ['node_name'], name, value) class DisconnectHistory(_Entity_): """ PPPoE disconnect history for a given node .. attribute:: current_idx Current index of history **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: entry Array of disconnected subscribers **type**\: list of :py:class:`Entry <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.DisconnectHistory.Entry>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.DisconnectHistory, self).__init__() self.yang_name = "disconnect-history" self.yang_parent_name = "node" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("entry", ("entry", Pppoe.Nodes.Node.DisconnectHistory.Entry))]) self._leafs = OrderedDict([ ('current_idx', (YLeaf(YType.uint32, 'current-idx'), ['int'])), ]) self.current_idx = None self.entry = YList(self) self._segment_path = lambda: "disconnect-history" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.DisconnectHistory, ['current_idx'], name, value) class Entry(_Entity_): """ Array of disconnected subscribers .. attribute:: session_idb Session IDB **type**\: :py:class:`SessionIdb <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb>` **config**\: False .. attribute:: timestamp Time when disconnected **type**\: int **range:** 0..18446744073709551615 **config**\: False .. attribute:: ifname Interface name **type**\: str **config**\: False .. attribute:: trigger Disconnect Trigger **type**\: :py:class:`PppoeMaSessionTrig <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.PppoeMaSessionTrig>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.DisconnectHistory.Entry, self).__init__() self.yang_name = "entry" self.yang_parent_name = "disconnect-history" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("session-idb", ("session_idb", Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb))]) self._leafs = OrderedDict([ ('timestamp', (YLeaf(YType.uint64, 'timestamp'), ['int'])), ('ifname', (YLeaf(YType.str, 'ifname'), ['str'])), ('trigger', (YLeaf(YType.enumeration, 'trigger'), [('ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper', 'PppoeMaSessionTrig', '')])), ]) self.timestamp = None self.ifname = None self.trigger = None self.session_idb = Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb() self.session_idb.parent = self self._children_name_map["session_idb"] = "session-idb" self._segment_path = lambda: "entry" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.DisconnectHistory.Entry, ['timestamp', 'ifname', 'trigger'], name, value) class SessionIdb(_Entity_): """ Session IDB .. attribute:: tags Tags **type**\: :py:class:`Tags <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.Tags>` **config**\: False .. attribute:: vlan_outer_tag VLAN Outer Tag **type**\: :py:class:`VlanOuterTag <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.VlanOuterTag>` **config**\: False .. attribute:: vlan_inner_tag VLAN Inner Tag **type**\: :py:class:`VlanInnerTag <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.VlanInnerTag>` **config**\: False .. attribute:: interface Interface **type**\: str **pattern:** [a\-zA\-Z0\-9.\_/\-]+ **config**\: False .. attribute:: access_interface Access Interface **type**\: str **pattern:** [a\-zA\-Z0\-9.\_/\-]+ **config**\: False .. attribute:: session_id Session ID **type**\: int **range:** 0..65535 **config**\: False .. attribute:: sub_label Sub Label **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: peer_mac_address Peer Mac\-Address **type**\: str **pattern:** [0\-9a\-fA\-F]{2}(\:[0\-9a\-fA\-F]{2}){5} **config**\: False .. attribute:: state State **type**\: :py:class:`PppoeMaSessionState <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.PppoeMaSessionState>` **config**\: False .. attribute:: cdm_object_handle CDM Object Handle **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: chkpt_id Chkpt ID **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: punted_count Punted Count **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: port_limit Port Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: is_counted Is BBA Counted **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_vlan_outer_tag Is VLAN Outer Tag **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_vlan_inner_tag Is VLAN Inner Tag **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_cleanup_pending Is Cleanup Pending **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_disconnect_done_pending Is Disconnect Done Pending **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_delete_done_pending Is Delete Done Pending **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_intf_create_callback_pending Is Interface Create Callback pending **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_publish_encaps_attr_pending Is Publish Encaps Attr pending **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_publish_encaps_attr_cb_pending Is Publish Encaps Attr Callback pending **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_intf_delete_callback_pending Is Interface Delete Callback pending **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_intf_delete_pending Is Interface Delete pending **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_im_owned_resource Is IM Owned Resource **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_im_final_received Is IM Final received **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_im_owned_resource_missing Is IM Owned Resource missing **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_aaa_start_request_callback_pending Is AAA Start request callback pending **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_aaa_owned_resource Is AAA Owned Resource **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_aaa_disconnect_requested Is AAA Disconnect Requested **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_aaa_disconnect_received Is AAA Disconnect Received **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_sub_db_activate_callback_pending Is SubDB Activate callback pending **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_pads_sent Is PADS Sent **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_padt_received Is PADT Received **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_in_flight Is Session In Flight **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_radius_override Is RADIUS override enabled **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: expected_notifications Expected Notifications **type**\: int **range:** 0..255 **config**\: False .. attribute:: received_notifications Received Notifications **type**\: int **range:** 0..255 **config**\: False .. attribute:: srg_state SRG state **type**\: :py:class:`PppoeMaSessionIdbSrgState <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.PppoeMaSessionIdbSrgState>` **config**\: False .. attribute:: is_srg_data_received Is SRG Data Received **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_iedge_data_received Is IEDGE Data Received **type**\: int **range:** \-2147483648..2147483647 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb, self).__init__() self.yang_name = "session-idb" self.yang_parent_name = "entry" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("tags", ("tags", Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.Tags)), ("vlan-outer-tag", ("vlan_outer_tag", Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.VlanOuterTag)), ("vlan-inner-tag", ("vlan_inner_tag", Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.VlanInnerTag))]) self._leafs = OrderedDict([ ('interface', (YLeaf(YType.str, 'interface'), ['str'])), ('access_interface', (YLeaf(YType.str, 'access-interface'), ['str'])), ('session_id', (YLeaf(YType.uint16, 'session-id'), ['int'])), ('sub_label', (YLeaf(YType.uint32, 'sub-label'), ['int'])), ('peer_mac_address', (YLeaf(YType.str, 'peer-mac-address'), ['str'])), ('state', (YLeaf(YType.enumeration, 'state'), [('ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper', 'PppoeMaSessionState', '')])), ('cdm_object_handle', (YLeaf(YType.uint32, 'cdm-object-handle'), ['int'])), ('chkpt_id', (YLeaf(YType.uint32, 'chkpt-id'), ['int'])), ('punted_count', (YLeaf(YType.uint32, 'punted-count'), ['int'])), ('port_limit', (YLeaf(YType.uint32, 'port-limit'), ['int'])), ('is_counted', (YLeaf(YType.int32, 'is-counted'), ['int'])), ('is_vlan_outer_tag', (YLeaf(YType.int32, 'is-vlan-outer-tag'), ['int'])), ('is_vlan_inner_tag', (YLeaf(YType.int32, 'is-vlan-inner-tag'), ['int'])), ('is_cleanup_pending', (YLeaf(YType.int32, 'is-cleanup-pending'), ['int'])), ('is_disconnect_done_pending', (YLeaf(YType.int32, 'is-disconnect-done-pending'), ['int'])), ('is_delete_done_pending', (YLeaf(YType.int32, 'is-delete-done-pending'), ['int'])), ('is_intf_create_callback_pending', (YLeaf(YType.int32, 'is-intf-create-callback-pending'), ['int'])), ('is_publish_encaps_attr_pending', (YLeaf(YType.int32, 'is-publish-encaps-attr-pending'), ['int'])), ('is_publish_encaps_attr_cb_pending', (YLeaf(YType.int32, 'is-publish-encaps-attr-cb-pending'), ['int'])), ('is_intf_delete_callback_pending', (YLeaf(YType.int32, 'is-intf-delete-callback-pending'), ['int'])), ('is_intf_delete_pending', (YLeaf(YType.int32, 'is-intf-delete-pending'), ['int'])), ('is_im_owned_resource', (YLeaf(YType.int32, 'is-im-owned-resource'), ['int'])), ('is_im_final_received', (YLeaf(YType.int32, 'is-im-final-received'), ['int'])), ('is_im_owned_resource_missing', (YLeaf(YType.int32, 'is-im-owned-resource-missing'), ['int'])), ('is_aaa_start_request_callback_pending', (YLeaf(YType.int32, 'is-aaa-start-request-callback-pending'), ['int'])), ('is_aaa_owned_resource', (YLeaf(YType.int32, 'is-aaa-owned-resource'), ['int'])), ('is_aaa_disconnect_requested', (YLeaf(YType.int32, 'is-aaa-disconnect-requested'), ['int'])), ('is_aaa_disconnect_received', (YLeaf(YType.int32, 'is-aaa-disconnect-received'), ['int'])), ('is_sub_db_activate_callback_pending', (YLeaf(YType.int32, 'is-sub-db-activate-callback-pending'), ['int'])), ('is_pads_sent', (YLeaf(YType.int32, 'is-pads-sent'), ['int'])), ('is_padt_received', (YLeaf(YType.int32, 'is-padt-received'), ['int'])), ('is_in_flight', (YLeaf(YType.int32, 'is-in-flight'), ['int'])), ('is_radius_override', (YLeaf(YType.int32, 'is-radius-override'), ['int'])), ('expected_notifications', (YLeaf(YType.uint8, 'expected-notifications'), ['int'])), ('received_notifications', (YLeaf(YType.uint8, 'received-notifications'), ['int'])), ('srg_state', (YLeaf(YType.enumeration, 'srg-state'), [('ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper', 'PppoeMaSessionIdbSrgState', '')])), ('is_srg_data_received', (YLeaf(YType.int32, 'is-srg-data-received'), ['int'])), ('is_iedge_data_received', (YLeaf(YType.int32, 'is-iedge-data-received'), ['int'])), ]) self.interface = None self.access_interface = None self.session_id = None self.sub_label = None self.peer_mac_address = None self.state = None self.cdm_object_handle = None self.chkpt_id = None self.punted_count = None self.port_limit = None self.is_counted = None self.is_vlan_outer_tag = None self.is_vlan_inner_tag = None self.is_cleanup_pending = None self.is_disconnect_done_pending = None self.is_delete_done_pending = None self.is_intf_create_callback_pending = None self.is_publish_encaps_attr_pending = None self.is_publish_encaps_attr_cb_pending = None self.is_intf_delete_callback_pending = None self.is_intf_delete_pending = None self.is_im_owned_resource = None self.is_im_final_received = None self.is_im_owned_resource_missing = None self.is_aaa_start_request_callback_pending = None self.is_aaa_owned_resource = None self.is_aaa_disconnect_requested = None self.is_aaa_disconnect_received = None self.is_sub_db_activate_callback_pending = None self.is_pads_sent = None self.is_padt_received = None self.is_in_flight = None self.is_radius_override = None self.expected_notifications = None self.received_notifications = None self.srg_state = None self.is_srg_data_received = None self.is_iedge_data_received = None self.tags = Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.Tags() self.tags.parent = self self._children_name_map["tags"] = "tags" self.vlan_outer_tag = Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.VlanOuterTag() self.vlan_outer_tag.parent = self self._children_name_map["vlan_outer_tag"] = "vlan-outer-tag" self.vlan_inner_tag = Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.VlanInnerTag() self.vlan_inner_tag.parent = self self._children_name_map["vlan_inner_tag"] = "vlan-inner-tag" self._segment_path = lambda: "session-idb" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb, ['interface', 'access_interface', 'session_id', 'sub_label', 'peer_mac_address', 'state', 'cdm_object_handle', 'chkpt_id', 'punted_count', 'port_limit', 'is_counted', 'is_vlan_outer_tag', 'is_vlan_inner_tag', 'is_cleanup_pending', 'is_disconnect_done_pending', 'is_delete_done_pending', 'is_intf_create_callback_pending', 'is_publish_encaps_attr_pending', 'is_publish_encaps_attr_cb_pending', 'is_intf_delete_callback_pending', 'is_intf_delete_pending', 'is_im_owned_resource', 'is_im_final_received', 'is_im_owned_resource_missing', 'is_aaa_start_request_callback_pending', 'is_aaa_owned_resource', 'is_aaa_disconnect_requested', 'is_aaa_disconnect_received', 'is_sub_db_activate_callback_pending', 'is_pads_sent', 'is_padt_received', 'is_in_flight', 'is_radius_override', 'expected_notifications', 'received_notifications', 'srg_state', 'is_srg_data_received', 'is_iedge_data_received'], name, value) class Tags(_Entity_): """ Tags .. attribute:: access_loop_encapsulation Access Loop Encapsulation **type**\: :py:class:`AccessLoopEncapsulation <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.Tags.AccessLoopEncapsulation>` **config**\: False .. attribute:: is_service_name Is Service Name **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_max_payload Is Max Payload **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_host_uniq Is Host Uniq **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_relay_session_id Is Relay Session ID **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_vendor_specific Is Vendor Specific **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_iwf Is IWF **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_remote_id Is Remote ID **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_circuit_id Is Circuit ID **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_tag Is DSL Tag **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: service_name Service Name **type**\: str **config**\: False .. attribute:: max_payload Max Payload **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: host_uniq Host Uniq **type**\: str **pattern:** ([0\-9a\-fA\-F]{2}(\:[0\-9a\-fA\-F]{2})\*)? **config**\: False .. attribute:: relay_session_id Relay Session ID **type**\: str **pattern:** ([0\-9a\-fA\-F]{2}(\:[0\-9a\-fA\-F]{2})\*)? **config**\: False .. attribute:: remote_id Remote ID **type**\: str **config**\: False .. attribute:: circuit_id Circuit ID **type**\: str **config**\: False .. attribute:: is_dsl_actual_up Is DSL Actual Up **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_actual_down Is DSL Actual Down **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_min_up Is DSL Min Up **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_min_down Is DSL Min Down **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_attain_up Is DSL Attain Up **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_attain_down Is DSL Attain Down **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_max_up Is DSL Max Up **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_max_down Is DSL Max Down **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_min_up_low Is DSL Min Up Low **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_min_down_low Is DSL Min Down Low **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_max_delay_up Is DSL Max Delay Up **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_actual_delay_up Is DSL Actual Delay Up **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_max_delay_down Is DSL Max Delay Down **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_actual_delay_down Is DSL Actual Delay Down **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_access_loop_encapsulation Is Access Loop Encapsulation **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: dsl_actual_up DSL Actual Up **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_actual_down DSL Actual Down **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_min_up DSL Min Up **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_min_down DSL Min Down **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_attain_up DSL Attain Up **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_attain_down DSL Attain Down **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_max_up DSL Max Up **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_max_down DSL Max Down **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_min_up_low DSL Min Up Low **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_min_down_low DSL Min Down Low **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_max_delay_up DSL Max Delay Up **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_actual_delay_up DSL Actual Delay Up **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_max_delay_down DSL Max Delay Down **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_actual_delay_down DSL Actual Delay Down **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.Tags, self).__init__() self.yang_name = "tags" self.yang_parent_name = "session-idb" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("access-loop-encapsulation", ("access_loop_encapsulation", Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.Tags.AccessLoopEncapsulation))]) self._leafs = OrderedDict([ ('is_service_name', (YLeaf(YType.int32, 'is-service-name'), ['int'])), ('is_max_payload', (YLeaf(YType.int32, 'is-max-payload'), ['int'])), ('is_host_uniq', (YLeaf(YType.int32, 'is-host-uniq'), ['int'])), ('is_relay_session_id', (YLeaf(YType.int32, 'is-relay-session-id'), ['int'])), ('is_vendor_specific', (YLeaf(YType.int32, 'is-vendor-specific'), ['int'])), ('is_iwf', (YLeaf(YType.int32, 'is-iwf'), ['int'])), ('is_remote_id', (YLeaf(YType.int32, 'is-remote-id'), ['int'])), ('is_circuit_id', (YLeaf(YType.int32, 'is-circuit-id'), ['int'])), ('is_dsl_tag', (YLeaf(YType.int32, 'is-dsl-tag'), ['int'])), ('service_name', (YLeaf(YType.str, 'service-name'), ['str'])), ('max_payload', (YLeaf(YType.uint32, 'max-payload'), ['int'])), ('host_uniq', (YLeaf(YType.str, 'host-uniq'), ['str'])), ('relay_session_id', (YLeaf(YType.str, 'relay-session-id'), ['str'])), ('remote_id', (YLeaf(YType.str, 'remote-id'), ['str'])), ('circuit_id', (YLeaf(YType.str, 'circuit-id'), ['str'])), ('is_dsl_actual_up', (YLeaf(YType.int32, 'is-dsl-actual-up'), ['int'])), ('is_dsl_actual_down', (YLeaf(YType.int32, 'is-dsl-actual-down'), ['int'])), ('is_dsl_min_up', (YLeaf(YType.int32, 'is-dsl-min-up'), ['int'])), ('is_dsl_min_down', (YLeaf(YType.int32, 'is-dsl-min-down'), ['int'])), ('is_dsl_attain_up', (YLeaf(YType.int32, 'is-dsl-attain-up'), ['int'])), ('is_dsl_attain_down', (YLeaf(YType.int32, 'is-dsl-attain-down'), ['int'])), ('is_dsl_max_up', (YLeaf(YType.int32, 'is-dsl-max-up'), ['int'])), ('is_dsl_max_down', (YLeaf(YType.int32, 'is-dsl-max-down'), ['int'])), ('is_dsl_min_up_low', (YLeaf(YType.int32, 'is-dsl-min-up-low'), ['int'])), ('is_dsl_min_down_low', (YLeaf(YType.int32, 'is-dsl-min-down-low'), ['int'])), ('is_dsl_max_delay_up', (YLeaf(YType.int32, 'is-dsl-max-delay-up'), ['int'])), ('is_dsl_actual_delay_up', (YLeaf(YType.int32, 'is-dsl-actual-delay-up'), ['int'])), ('is_dsl_max_delay_down', (YLeaf(YType.int32, 'is-dsl-max-delay-down'), ['int'])), ('is_dsl_actual_delay_down', (YLeaf(YType.int32, 'is-dsl-actual-delay-down'), ['int'])), ('is_access_loop_encapsulation', (YLeaf(YType.int32, 'is-access-loop-encapsulation'), ['int'])), ('dsl_actual_up', (YLeaf(YType.uint32, 'dsl-actual-up'), ['int'])), ('dsl_actual_down', (YLeaf(YType.uint32, 'dsl-actual-down'), ['int'])), ('dsl_min_up', (YLeaf(YType.uint32, 'dsl-min-up'), ['int'])), ('dsl_min_down', (YLeaf(YType.uint32, 'dsl-min-down'), ['int'])), ('dsl_attain_up', (YLeaf(YType.uint32, 'dsl-attain-up'), ['int'])), ('dsl_attain_down', (YLeaf(YType.uint32, 'dsl-attain-down'), ['int'])), ('dsl_max_up', (YLeaf(YType.uint32, 'dsl-max-up'), ['int'])), ('dsl_max_down', (YLeaf(YType.uint32, 'dsl-max-down'), ['int'])), ('dsl_min_up_low', (YLeaf(YType.uint32, 'dsl-min-up-low'), ['int'])), ('dsl_min_down_low', (YLeaf(YType.uint32, 'dsl-min-down-low'), ['int'])), ('dsl_max_delay_up', (YLeaf(YType.uint32, 'dsl-max-delay-up'), ['int'])), ('dsl_actual_delay_up', (YLeaf(YType.uint32, 'dsl-actual-delay-up'), ['int'])), ('dsl_max_delay_down', (YLeaf(YType.uint32, 'dsl-max-delay-down'), ['int'])), ('dsl_actual_delay_down', (YLeaf(YType.uint32, 'dsl-actual-delay-down'), ['int'])), ]) self.is_service_name = None self.is_max_payload = None self.is_host_uniq = None self.is_relay_session_id = None self.is_vendor_specific = None self.is_iwf = None self.is_remote_id = None self.is_circuit_id = None self.is_dsl_tag = None self.service_name = None self.max_payload = None self.host_uniq = None self.relay_session_id = None self.remote_id = None self.circuit_id = None self.is_dsl_actual_up = None self.is_dsl_actual_down = None self.is_dsl_min_up = None self.is_dsl_min_down = None self.is_dsl_attain_up = None self.is_dsl_attain_down = None self.is_dsl_max_up = None self.is_dsl_max_down = None self.is_dsl_min_up_low = None self.is_dsl_min_down_low = None self.is_dsl_max_delay_up = None self.is_dsl_actual_delay_up = None self.is_dsl_max_delay_down = None self.is_dsl_actual_delay_down = None self.is_access_loop_encapsulation = None self.dsl_actual_up = None self.dsl_actual_down = None self.dsl_min_up = None self.dsl_min_down = None self.dsl_attain_up = None self.dsl_attain_down = None self.dsl_max_up = None self.dsl_max_down = None self.dsl_min_up_low = None self.dsl_min_down_low = None self.dsl_max_delay_up = None self.dsl_actual_delay_up = None self.dsl_max_delay_down = None self.dsl_actual_delay_down = None self.access_loop_encapsulation = Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.Tags.AccessLoopEncapsulation() self.access_loop_encapsulation.parent = self self._children_name_map["access_loop_encapsulation"] = "access-loop-encapsulation" self._segment_path = lambda: "tags" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.Tags, ['is_service_name', 'is_max_payload', 'is_host_uniq', 'is_relay_session_id', 'is_vendor_specific', 'is_iwf', 'is_remote_id', 'is_circuit_id', 'is_dsl_tag', 'service_name', 'max_payload', 'host_uniq', 'relay_session_id', 'remote_id', 'circuit_id', 'is_dsl_actual_up', 'is_dsl_actual_down', 'is_dsl_min_up', 'is_dsl_min_down', 'is_dsl_attain_up', 'is_dsl_attain_down', 'is_dsl_max_up', 'is_dsl_max_down', 'is_dsl_min_up_low', 'is_dsl_min_down_low', 'is_dsl_max_delay_up', 'is_dsl_actual_delay_up', 'is_dsl_max_delay_down', 'is_dsl_actual_delay_down', 'is_access_loop_encapsulation', 'dsl_actual_up', 'dsl_actual_down', 'dsl_min_up', 'dsl_min_down', 'dsl_attain_up', 'dsl_attain_down', 'dsl_max_up', 'dsl_max_down', 'dsl_min_up_low', 'dsl_min_down_low', 'dsl_max_delay_up', 'dsl_actual_delay_up', 'dsl_max_delay_down', 'dsl_actual_delay_down'], name, value) class AccessLoopEncapsulation(_Entity_): """ Access Loop Encapsulation .. attribute:: data_link Data Link **type**\: int **range:** 0..255 **config**\: False .. attribute:: encaps1 Encaps 1 **type**\: int **range:** 0..255 **config**\: False .. attribute:: encaps2 Encaps 2 **type**\: int **range:** 0..255 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.Tags.AccessLoopEncapsulation, self).__init__() self.yang_name = "access-loop-encapsulation" self.yang_parent_name = "tags" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('data_link', (YLeaf(YType.uint8, 'data-link'), ['int'])), ('encaps1', (YLeaf(YType.uint8, 'encaps1'), ['int'])), ('encaps2', (YLeaf(YType.uint8, 'encaps2'), ['int'])), ]) self.data_link = None self.encaps1 = None self.encaps2 = None self._segment_path = lambda: "access-loop-encapsulation" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.Tags.AccessLoopEncapsulation, ['data_link', 'encaps1', 'encaps2'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.Tags.AccessLoopEncapsulation']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.Tags']['meta_info'] class VlanOuterTag(_Entity_): """ VLAN Outer Tag .. attribute:: ether_type Ethertype. See IEEE 802.1Q for more information **type**\: int **range:** 0..65535 **config**\: False .. attribute:: user_priority User Priority **type**\: int **range:** 0..255 **config**\: False .. attribute:: cfi CFI **type**\: int **range:** 0..255 **config**\: False .. attribute:: vlan_id VLAN ID **type**\: int **range:** 0..65535 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.VlanOuterTag, self).__init__() self.yang_name = "vlan-outer-tag" self.yang_parent_name = "session-idb" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('ether_type', (YLeaf(YType.uint16, 'ether-type'), ['int'])), ('user_priority', (YLeaf(YType.uint8, 'user-priority'), ['int'])), ('cfi', (YLeaf(YType.uint8, 'cfi'), ['int'])), ('vlan_id', (YLeaf(YType.uint16, 'vlan-id'), ['int'])), ]) self.ether_type = None self.user_priority = None self.cfi = None self.vlan_id = None self._segment_path = lambda: "vlan-outer-tag" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.VlanOuterTag, ['ether_type', 'user_priority', 'cfi', 'vlan_id'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.VlanOuterTag']['meta_info'] class VlanInnerTag(_Entity_): """ VLAN Inner Tag .. attribute:: ether_type Ethertype. See IEEE 802.1Q for more information **type**\: int **range:** 0..65535 **config**\: False .. attribute:: user_priority User Priority **type**\: int **range:** 0..255 **config**\: False .. attribute:: cfi CFI **type**\: int **range:** 0..255 **config**\: False .. attribute:: vlan_id VLAN ID **type**\: int **range:** 0..65535 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.VlanInnerTag, self).__init__() self.yang_name = "vlan-inner-tag" self.yang_parent_name = "session-idb" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('ether_type', (YLeaf(YType.uint16, 'ether-type'), ['int'])), ('user_priority', (YLeaf(YType.uint8, 'user-priority'), ['int'])), ('cfi', (YLeaf(YType.uint8, 'cfi'), ['int'])), ('vlan_id', (YLeaf(YType.uint16, 'vlan-id'), ['int'])), ]) self.ether_type = None self.user_priority = None self.cfi = None self.vlan_id = None self._segment_path = lambda: "vlan-inner-tag" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.VlanInnerTag, ['ether_type', 'user_priority', 'cfi', 'vlan_id'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb.VlanInnerTag']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.DisconnectHistory.Entry.SessionIdb']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.DisconnectHistory.Entry']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.DisconnectHistory']['meta_info'] class DisconnectHistoryUnique(_Entity_): """ PPPoE unique disconnect history for a given node .. attribute:: disconnect_count The total number of disconnects **type**\: list of int **range:** 0..4294967295 **config**\: False .. attribute:: entry Array of disconnected subscribers **type**\: list of :py:class:`Entry <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.DisconnectHistoryUnique, self).__init__() self.yang_name = "disconnect-history-unique" self.yang_parent_name = "node" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("entry", ("entry", Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry))]) self._leafs = OrderedDict([ ('disconnect_count', (YLeafList(YType.uint32, 'disconnect-count'), ['int'])), ]) self.disconnect_count = [] self.entry = YList(self) self._segment_path = lambda: "disconnect-history-unique" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.DisconnectHistoryUnique, ['disconnect_count'], name, value) class Entry(_Entity_): """ Array of disconnected subscribers .. attribute:: session_idb Session IDB **type**\: :py:class:`SessionIdb <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb>` **config**\: False .. attribute:: timestamp Time when disconnected **type**\: int **range:** 0..18446744073709551615 **config**\: False .. attribute:: ifname Interface name **type**\: str **config**\: False .. attribute:: trigger Disconnect Trigger **type**\: :py:class:`PppoeMaSessionTrig <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.PppoeMaSessionTrig>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry, self).__init__() self.yang_name = "entry" self.yang_parent_name = "disconnect-history-unique" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("session-idb", ("session_idb", Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb))]) self._leafs = OrderedDict([ ('timestamp', (YLeaf(YType.uint64, 'timestamp'), ['int'])), ('ifname', (YLeaf(YType.str, 'ifname'), ['str'])), ('trigger', (YLeaf(YType.enumeration, 'trigger'), [('ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper', 'PppoeMaSessionTrig', '')])), ]) self.timestamp = None self.ifname = None self.trigger = None self.session_idb = Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb() self.session_idb.parent = self self._children_name_map["session_idb"] = "session-idb" self._segment_path = lambda: "entry" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry, ['timestamp', 'ifname', 'trigger'], name, value) class SessionIdb(_Entity_): """ Session IDB .. attribute:: tags Tags **type**\: :py:class:`Tags <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.Tags>` **config**\: False .. attribute:: vlan_outer_tag VLAN Outer Tag **type**\: :py:class:`VlanOuterTag <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.VlanOuterTag>` **config**\: False .. attribute:: vlan_inner_tag VLAN Inner Tag **type**\: :py:class:`VlanInnerTag <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.VlanInnerTag>` **config**\: False .. attribute:: interface Interface **type**\: str **pattern:** [a\-zA\-Z0\-9.\_/\-]+ **config**\: False .. attribute:: access_interface Access Interface **type**\: str **pattern:** [a\-zA\-Z0\-9.\_/\-]+ **config**\: False .. attribute:: session_id Session ID **type**\: int **range:** 0..65535 **config**\: False .. attribute:: sub_label Sub Label **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: peer_mac_address Peer Mac\-Address **type**\: str **pattern:** [0\-9a\-fA\-F]{2}(\:[0\-9a\-fA\-F]{2}){5} **config**\: False .. attribute:: state State **type**\: :py:class:`PppoeMaSessionState <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.PppoeMaSessionState>` **config**\: False .. attribute:: cdm_object_handle CDM Object Handle **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: chkpt_id Chkpt ID **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: punted_count Punted Count **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: port_limit Port Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: is_counted Is BBA Counted **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_vlan_outer_tag Is VLAN Outer Tag **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_vlan_inner_tag Is VLAN Inner Tag **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_cleanup_pending Is Cleanup Pending **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_disconnect_done_pending Is Disconnect Done Pending **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_delete_done_pending Is Delete Done Pending **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_intf_create_callback_pending Is Interface Create Callback pending **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_publish_encaps_attr_pending Is Publish Encaps Attr pending **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_publish_encaps_attr_cb_pending Is Publish Encaps Attr Callback pending **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_intf_delete_callback_pending Is Interface Delete Callback pending **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_intf_delete_pending Is Interface Delete pending **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_im_owned_resource Is IM Owned Resource **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_im_final_received Is IM Final received **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_im_owned_resource_missing Is IM Owned Resource missing **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_aaa_start_request_callback_pending Is AAA Start request callback pending **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_aaa_owned_resource Is AAA Owned Resource **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_aaa_disconnect_requested Is AAA Disconnect Requested **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_aaa_disconnect_received Is AAA Disconnect Received **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_sub_db_activate_callback_pending Is SubDB Activate callback pending **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_pads_sent Is PADS Sent **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_padt_received Is PADT Received **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_in_flight Is Session In Flight **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_radius_override Is RADIUS override enabled **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: expected_notifications Expected Notifications **type**\: int **range:** 0..255 **config**\: False .. attribute:: received_notifications Received Notifications **type**\: int **range:** 0..255 **config**\: False .. attribute:: srg_state SRG state **type**\: :py:class:`PppoeMaSessionIdbSrgState <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.PppoeMaSessionIdbSrgState>` **config**\: False .. attribute:: is_srg_data_received Is SRG Data Received **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_iedge_data_received Is IEDGE Data Received **type**\: int **range:** \-2147483648..2147483647 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb, self).__init__() self.yang_name = "session-idb" self.yang_parent_name = "entry" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("tags", ("tags", Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.Tags)), ("vlan-outer-tag", ("vlan_outer_tag", Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.VlanOuterTag)), ("vlan-inner-tag", ("vlan_inner_tag", Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.VlanInnerTag))]) self._leafs = OrderedDict([ ('interface', (YLeaf(YType.str, 'interface'), ['str'])), ('access_interface', (YLeaf(YType.str, 'access-interface'), ['str'])), ('session_id', (YLeaf(YType.uint16, 'session-id'), ['int'])), ('sub_label', (YLeaf(YType.uint32, 'sub-label'), ['int'])), ('peer_mac_address', (YLeaf(YType.str, 'peer-mac-address'), ['str'])), ('state', (YLeaf(YType.enumeration, 'state'), [('ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper', 'PppoeMaSessionState', '')])), ('cdm_object_handle', (YLeaf(YType.uint32, 'cdm-object-handle'), ['int'])), ('chkpt_id', (YLeaf(YType.uint32, 'chkpt-id'), ['int'])), ('punted_count', (YLeaf(YType.uint32, 'punted-count'), ['int'])), ('port_limit', (YLeaf(YType.uint32, 'port-limit'), ['int'])), ('is_counted', (YLeaf(YType.int32, 'is-counted'), ['int'])), ('is_vlan_outer_tag', (YLeaf(YType.int32, 'is-vlan-outer-tag'), ['int'])), ('is_vlan_inner_tag', (YLeaf(YType.int32, 'is-vlan-inner-tag'), ['int'])), ('is_cleanup_pending', (YLeaf(YType.int32, 'is-cleanup-pending'), ['int'])), ('is_disconnect_done_pending', (YLeaf(YType.int32, 'is-disconnect-done-pending'), ['int'])), ('is_delete_done_pending', (YLeaf(YType.int32, 'is-delete-done-pending'), ['int'])), ('is_intf_create_callback_pending', (YLeaf(YType.int32, 'is-intf-create-callback-pending'), ['int'])), ('is_publish_encaps_attr_pending', (YLeaf(YType.int32, 'is-publish-encaps-attr-pending'), ['int'])), ('is_publish_encaps_attr_cb_pending', (YLeaf(YType.int32, 'is-publish-encaps-attr-cb-pending'), ['int'])), ('is_intf_delete_callback_pending', (YLeaf(YType.int32, 'is-intf-delete-callback-pending'), ['int'])), ('is_intf_delete_pending', (YLeaf(YType.int32, 'is-intf-delete-pending'), ['int'])), ('is_im_owned_resource', (YLeaf(YType.int32, 'is-im-owned-resource'), ['int'])), ('is_im_final_received', (YLeaf(YType.int32, 'is-im-final-received'), ['int'])), ('is_im_owned_resource_missing', (YLeaf(YType.int32, 'is-im-owned-resource-missing'), ['int'])), ('is_aaa_start_request_callback_pending', (YLeaf(YType.int32, 'is-aaa-start-request-callback-pending'), ['int'])), ('is_aaa_owned_resource', (YLeaf(YType.int32, 'is-aaa-owned-resource'), ['int'])), ('is_aaa_disconnect_requested', (YLeaf(YType.int32, 'is-aaa-disconnect-requested'), ['int'])), ('is_aaa_disconnect_received', (YLeaf(YType.int32, 'is-aaa-disconnect-received'), ['int'])), ('is_sub_db_activate_callback_pending', (YLeaf(YType.int32, 'is-sub-db-activate-callback-pending'), ['int'])), ('is_pads_sent', (YLeaf(YType.int32, 'is-pads-sent'), ['int'])), ('is_padt_received', (YLeaf(YType.int32, 'is-padt-received'), ['int'])), ('is_in_flight', (YLeaf(YType.int32, 'is-in-flight'), ['int'])), ('is_radius_override', (YLeaf(YType.int32, 'is-radius-override'), ['int'])), ('expected_notifications', (YLeaf(YType.uint8, 'expected-notifications'), ['int'])), ('received_notifications', (YLeaf(YType.uint8, 'received-notifications'), ['int'])), ('srg_state', (YLeaf(YType.enumeration, 'srg-state'), [('ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper', 'PppoeMaSessionIdbSrgState', '')])), ('is_srg_data_received', (YLeaf(YType.int32, 'is-srg-data-received'), ['int'])), ('is_iedge_data_received', (YLeaf(YType.int32, 'is-iedge-data-received'), ['int'])), ]) self.interface = None self.access_interface = None self.session_id = None self.sub_label = None self.peer_mac_address = None self.state = None self.cdm_object_handle = None self.chkpt_id = None self.punted_count = None self.port_limit = None self.is_counted = None self.is_vlan_outer_tag = None self.is_vlan_inner_tag = None self.is_cleanup_pending = None self.is_disconnect_done_pending = None self.is_delete_done_pending = None self.is_intf_create_callback_pending = None self.is_publish_encaps_attr_pending = None self.is_publish_encaps_attr_cb_pending = None self.is_intf_delete_callback_pending = None self.is_intf_delete_pending = None self.is_im_owned_resource = None self.is_im_final_received = None self.is_im_owned_resource_missing = None self.is_aaa_start_request_callback_pending = None self.is_aaa_owned_resource = None self.is_aaa_disconnect_requested = None self.is_aaa_disconnect_received = None self.is_sub_db_activate_callback_pending = None self.is_pads_sent = None self.is_padt_received = None self.is_in_flight = None self.is_radius_override = None self.expected_notifications = None self.received_notifications = None self.srg_state = None self.is_srg_data_received = None self.is_iedge_data_received = None self.tags = Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.Tags() self.tags.parent = self self._children_name_map["tags"] = "tags" self.vlan_outer_tag = Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.VlanOuterTag() self.vlan_outer_tag.parent = self self._children_name_map["vlan_outer_tag"] = "vlan-outer-tag" self.vlan_inner_tag = Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.VlanInnerTag() self.vlan_inner_tag.parent = self self._children_name_map["vlan_inner_tag"] = "vlan-inner-tag" self._segment_path = lambda: "session-idb" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb, ['interface', 'access_interface', 'session_id', 'sub_label', 'peer_mac_address', 'state', 'cdm_object_handle', 'chkpt_id', 'punted_count', 'port_limit', 'is_counted', 'is_vlan_outer_tag', 'is_vlan_inner_tag', 'is_cleanup_pending', 'is_disconnect_done_pending', 'is_delete_done_pending', 'is_intf_create_callback_pending', 'is_publish_encaps_attr_pending', 'is_publish_encaps_attr_cb_pending', 'is_intf_delete_callback_pending', 'is_intf_delete_pending', 'is_im_owned_resource', 'is_im_final_received', 'is_im_owned_resource_missing', 'is_aaa_start_request_callback_pending', 'is_aaa_owned_resource', 'is_aaa_disconnect_requested', 'is_aaa_disconnect_received', 'is_sub_db_activate_callback_pending', 'is_pads_sent', 'is_padt_received', 'is_in_flight', 'is_radius_override', 'expected_notifications', 'received_notifications', 'srg_state', 'is_srg_data_received', 'is_iedge_data_received'], name, value) class Tags(_Entity_): """ Tags .. attribute:: access_loop_encapsulation Access Loop Encapsulation **type**\: :py:class:`AccessLoopEncapsulation <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.Tags.AccessLoopEncapsulation>` **config**\: False .. attribute:: is_service_name Is Service Name **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_max_payload Is Max Payload **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_host_uniq Is Host Uniq **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_relay_session_id Is Relay Session ID **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_vendor_specific Is Vendor Specific **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_iwf Is IWF **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_remote_id Is Remote ID **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_circuit_id Is Circuit ID **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_tag Is DSL Tag **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: service_name Service Name **type**\: str **config**\: False .. attribute:: max_payload Max Payload **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: host_uniq Host Uniq **type**\: str **pattern:** ([0\-9a\-fA\-F]{2}(\:[0\-9a\-fA\-F]{2})\*)? **config**\: False .. attribute:: relay_session_id Relay Session ID **type**\: str **pattern:** ([0\-9a\-fA\-F]{2}(\:[0\-9a\-fA\-F]{2})\*)? **config**\: False .. attribute:: remote_id Remote ID **type**\: str **config**\: False .. attribute:: circuit_id Circuit ID **type**\: str **config**\: False .. attribute:: is_dsl_actual_up Is DSL Actual Up **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_actual_down Is DSL Actual Down **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_min_up Is DSL Min Up **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_min_down Is DSL Min Down **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_attain_up Is DSL Attain Up **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_attain_down Is DSL Attain Down **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_max_up Is DSL Max Up **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_max_down Is DSL Max Down **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_min_up_low Is DSL Min Up Low **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_min_down_low Is DSL Min Down Low **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_max_delay_up Is DSL Max Delay Up **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_actual_delay_up Is DSL Actual Delay Up **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_max_delay_down Is DSL Max Delay Down **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_dsl_actual_delay_down Is DSL Actual Delay Down **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: is_access_loop_encapsulation Is Access Loop Encapsulation **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: dsl_actual_up DSL Actual Up **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_actual_down DSL Actual Down **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_min_up DSL Min Up **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_min_down DSL Min Down **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_attain_up DSL Attain Up **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_attain_down DSL Attain Down **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_max_up DSL Max Up **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_max_down DSL Max Down **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_min_up_low DSL Min Up Low **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_min_down_low DSL Min Down Low **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_max_delay_up DSL Max Delay Up **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_actual_delay_up DSL Actual Delay Up **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_max_delay_down DSL Max Delay Down **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_actual_delay_down DSL Actual Delay Down **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.Tags, self).__init__() self.yang_name = "tags" self.yang_parent_name = "session-idb" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("access-loop-encapsulation", ("access_loop_encapsulation", Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.Tags.AccessLoopEncapsulation))]) self._leafs = OrderedDict([ ('is_service_name', (YLeaf(YType.int32, 'is-service-name'), ['int'])), ('is_max_payload', (YLeaf(YType.int32, 'is-max-payload'), ['int'])), ('is_host_uniq', (YLeaf(YType.int32, 'is-host-uniq'), ['int'])), ('is_relay_session_id', (YLeaf(YType.int32, 'is-relay-session-id'), ['int'])), ('is_vendor_specific', (YLeaf(YType.int32, 'is-vendor-specific'), ['int'])), ('is_iwf', (YLeaf(YType.int32, 'is-iwf'), ['int'])), ('is_remote_id', (YLeaf(YType.int32, 'is-remote-id'), ['int'])), ('is_circuit_id', (YLeaf(YType.int32, 'is-circuit-id'), ['int'])), ('is_dsl_tag', (YLeaf(YType.int32, 'is-dsl-tag'), ['int'])), ('service_name', (YLeaf(YType.str, 'service-name'), ['str'])), ('max_payload', (YLeaf(YType.uint32, 'max-payload'), ['int'])), ('host_uniq', (YLeaf(YType.str, 'host-uniq'), ['str'])), ('relay_session_id', (YLeaf(YType.str, 'relay-session-id'), ['str'])), ('remote_id', (YLeaf(YType.str, 'remote-id'), ['str'])), ('circuit_id', (YLeaf(YType.str, 'circuit-id'), ['str'])), ('is_dsl_actual_up', (YLeaf(YType.int32, 'is-dsl-actual-up'), ['int'])), ('is_dsl_actual_down', (YLeaf(YType.int32, 'is-dsl-actual-down'), ['int'])), ('is_dsl_min_up', (YLeaf(YType.int32, 'is-dsl-min-up'), ['int'])), ('is_dsl_min_down', (YLeaf(YType.int32, 'is-dsl-min-down'), ['int'])), ('is_dsl_attain_up', (YLeaf(YType.int32, 'is-dsl-attain-up'), ['int'])), ('is_dsl_attain_down', (YLeaf(YType.int32, 'is-dsl-attain-down'), ['int'])), ('is_dsl_max_up', (YLeaf(YType.int32, 'is-dsl-max-up'), ['int'])), ('is_dsl_max_down', (YLeaf(YType.int32, 'is-dsl-max-down'), ['int'])), ('is_dsl_min_up_low', (YLeaf(YType.int32, 'is-dsl-min-up-low'), ['int'])), ('is_dsl_min_down_low', (YLeaf(YType.int32, 'is-dsl-min-down-low'), ['int'])), ('is_dsl_max_delay_up', (YLeaf(YType.int32, 'is-dsl-max-delay-up'), ['int'])), ('is_dsl_actual_delay_up', (YLeaf(YType.int32, 'is-dsl-actual-delay-up'), ['int'])), ('is_dsl_max_delay_down', (YLeaf(YType.int32, 'is-dsl-max-delay-down'), ['int'])), ('is_dsl_actual_delay_down', (YLeaf(YType.int32, 'is-dsl-actual-delay-down'), ['int'])), ('is_access_loop_encapsulation', (YLeaf(YType.int32, 'is-access-loop-encapsulation'), ['int'])), ('dsl_actual_up', (YLeaf(YType.uint32, 'dsl-actual-up'), ['int'])), ('dsl_actual_down', (YLeaf(YType.uint32, 'dsl-actual-down'), ['int'])), ('dsl_min_up', (YLeaf(YType.uint32, 'dsl-min-up'), ['int'])), ('dsl_min_down', (YLeaf(YType.uint32, 'dsl-min-down'), ['int'])), ('dsl_attain_up', (YLeaf(YType.uint32, 'dsl-attain-up'), ['int'])), ('dsl_attain_down', (YLeaf(YType.uint32, 'dsl-attain-down'), ['int'])), ('dsl_max_up', (YLeaf(YType.uint32, 'dsl-max-up'), ['int'])), ('dsl_max_down', (YLeaf(YType.uint32, 'dsl-max-down'), ['int'])), ('dsl_min_up_low', (YLeaf(YType.uint32, 'dsl-min-up-low'), ['int'])), ('dsl_min_down_low', (YLeaf(YType.uint32, 'dsl-min-down-low'), ['int'])), ('dsl_max_delay_up', (YLeaf(YType.uint32, 'dsl-max-delay-up'), ['int'])), ('dsl_actual_delay_up', (YLeaf(YType.uint32, 'dsl-actual-delay-up'), ['int'])), ('dsl_max_delay_down', (YLeaf(YType.uint32, 'dsl-max-delay-down'), ['int'])), ('dsl_actual_delay_down', (YLeaf(YType.uint32, 'dsl-actual-delay-down'), ['int'])), ]) self.is_service_name = None self.is_max_payload = None self.is_host_uniq = None self.is_relay_session_id = None self.is_vendor_specific = None self.is_iwf = None self.is_remote_id = None self.is_circuit_id = None self.is_dsl_tag = None self.service_name = None self.max_payload = None self.host_uniq = None self.relay_session_id = None self.remote_id = None self.circuit_id = None self.is_dsl_actual_up = None self.is_dsl_actual_down = None self.is_dsl_min_up = None self.is_dsl_min_down = None self.is_dsl_attain_up = None self.is_dsl_attain_down = None self.is_dsl_max_up = None self.is_dsl_max_down = None self.is_dsl_min_up_low = None self.is_dsl_min_down_low = None self.is_dsl_max_delay_up = None self.is_dsl_actual_delay_up = None self.is_dsl_max_delay_down = None self.is_dsl_actual_delay_down = None self.is_access_loop_encapsulation = None self.dsl_actual_up = None self.dsl_actual_down = None self.dsl_min_up = None self.dsl_min_down = None self.dsl_attain_up = None self.dsl_attain_down = None self.dsl_max_up = None self.dsl_max_down = None self.dsl_min_up_low = None self.dsl_min_down_low = None self.dsl_max_delay_up = None self.dsl_actual_delay_up = None self.dsl_max_delay_down = None self.dsl_actual_delay_down = None self.access_loop_encapsulation = Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.Tags.AccessLoopEncapsulation() self.access_loop_encapsulation.parent = self self._children_name_map["access_loop_encapsulation"] = "access-loop-encapsulation" self._segment_path = lambda: "tags" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.Tags, ['is_service_name', 'is_max_payload', 'is_host_uniq', 'is_relay_session_id', 'is_vendor_specific', 'is_iwf', 'is_remote_id', 'is_circuit_id', 'is_dsl_tag', 'service_name', 'max_payload', 'host_uniq', 'relay_session_id', 'remote_id', 'circuit_id', 'is_dsl_actual_up', 'is_dsl_actual_down', 'is_dsl_min_up', 'is_dsl_min_down', 'is_dsl_attain_up', 'is_dsl_attain_down', 'is_dsl_max_up', 'is_dsl_max_down', 'is_dsl_min_up_low', 'is_dsl_min_down_low', 'is_dsl_max_delay_up', 'is_dsl_actual_delay_up', 'is_dsl_max_delay_down', 'is_dsl_actual_delay_down', 'is_access_loop_encapsulation', 'dsl_actual_up', 'dsl_actual_down', 'dsl_min_up', 'dsl_min_down', 'dsl_attain_up', 'dsl_attain_down', 'dsl_max_up', 'dsl_max_down', 'dsl_min_up_low', 'dsl_min_down_low', 'dsl_max_delay_up', 'dsl_actual_delay_up', 'dsl_max_delay_down', 'dsl_actual_delay_down'], name, value) class AccessLoopEncapsulation(_Entity_): """ Access Loop Encapsulation .. attribute:: data_link Data Link **type**\: int **range:** 0..255 **config**\: False .. attribute:: encaps1 Encaps 1 **type**\: int **range:** 0..255 **config**\: False .. attribute:: encaps2 Encaps 2 **type**\: int **range:** 0..255 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.Tags.AccessLoopEncapsulation, self).__init__() self.yang_name = "access-loop-encapsulation" self.yang_parent_name = "tags" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('data_link', (YLeaf(YType.uint8, 'data-link'), ['int'])), ('encaps1', (YLeaf(YType.uint8, 'encaps1'), ['int'])), ('encaps2', (YLeaf(YType.uint8, 'encaps2'), ['int'])), ]) self.data_link = None self.encaps1 = None self.encaps2 = None self._segment_path = lambda: "access-loop-encapsulation" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.Tags.AccessLoopEncapsulation, ['data_link', 'encaps1', 'encaps2'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.Tags.AccessLoopEncapsulation']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.Tags']['meta_info'] class VlanOuterTag(_Entity_): """ VLAN Outer Tag .. attribute:: ether_type Ethertype. See IEEE 802.1Q for more information **type**\: int **range:** 0..65535 **config**\: False .. attribute:: user_priority User Priority **type**\: int **range:** 0..255 **config**\: False .. attribute:: cfi CFI **type**\: int **range:** 0..255 **config**\: False .. attribute:: vlan_id VLAN ID **type**\: int **range:** 0..65535 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.VlanOuterTag, self).__init__() self.yang_name = "vlan-outer-tag" self.yang_parent_name = "session-idb" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('ether_type', (YLeaf(YType.uint16, 'ether-type'), ['int'])), ('user_priority', (YLeaf(YType.uint8, 'user-priority'), ['int'])), ('cfi', (YLeaf(YType.uint8, 'cfi'), ['int'])), ('vlan_id', (YLeaf(YType.uint16, 'vlan-id'), ['int'])), ]) self.ether_type = None self.user_priority = None self.cfi = None self.vlan_id = None self._segment_path = lambda: "vlan-outer-tag" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.VlanOuterTag, ['ether_type', 'user_priority', 'cfi', 'vlan_id'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.VlanOuterTag']['meta_info'] class VlanInnerTag(_Entity_): """ VLAN Inner Tag .. attribute:: ether_type Ethertype. See IEEE 802.1Q for more information **type**\: int **range:** 0..65535 **config**\: False .. attribute:: user_priority User Priority **type**\: int **range:** 0..255 **config**\: False .. attribute:: cfi CFI **type**\: int **range:** 0..255 **config**\: False .. attribute:: vlan_id VLAN ID **type**\: int **range:** 0..65535 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.VlanInnerTag, self).__init__() self.yang_name = "vlan-inner-tag" self.yang_parent_name = "session-idb" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('ether_type', (YLeaf(YType.uint16, 'ether-type'), ['int'])), ('user_priority', (YLeaf(YType.uint8, 'user-priority'), ['int'])), ('cfi', (YLeaf(YType.uint8, 'cfi'), ['int'])), ('vlan_id', (YLeaf(YType.uint16, 'vlan-id'), ['int'])), ]) self.ether_type = None self.user_priority = None self.cfi = None self.vlan_id = None self._segment_path = lambda: "vlan-inner-tag" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.VlanInnerTag, ['ether_type', 'user_priority', 'cfi', 'vlan_id'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb.VlanInnerTag']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry.SessionIdb']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.DisconnectHistoryUnique.Entry']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.DisconnectHistoryUnique']['meta_info'] class Statistics(_Entity_): """ PPPoE statistics for a given node .. attribute:: packet_counts Packet Counts **type**\: :py:class:`PacketCounts <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.Statistics.PacketCounts>` **config**\: False .. attribute:: packet_error_counts Packet Error Counts **type**\: :py:class:`PacketErrorCounts <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.Statistics.PacketErrorCounts>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.Statistics, self).__init__() self.yang_name = "statistics" self.yang_parent_name = "node" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("packet-counts", ("packet_counts", Pppoe.Nodes.Node.Statistics.PacketCounts)), ("packet-error-counts", ("packet_error_counts", Pppoe.Nodes.Node.Statistics.PacketErrorCounts))]) self._leafs = OrderedDict() self.packet_counts = Pppoe.Nodes.Node.Statistics.PacketCounts() self.packet_counts.parent = self self._children_name_map["packet_counts"] = "packet-counts" self.packet_error_counts = Pppoe.Nodes.Node.Statistics.PacketErrorCounts() self.packet_error_counts.parent = self self._children_name_map["packet_error_counts"] = "packet-error-counts" self._segment_path = lambda: "statistics" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.Statistics, [], name, value) class PacketCounts(_Entity_): """ Packet Counts .. attribute:: padi PADI counts **type**\: :py:class:`Padi <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.Statistics.PacketCounts.Padi>` **config**\: False .. attribute:: pado PADO counts **type**\: :py:class:`Pado <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.Statistics.PacketCounts.Pado>` **config**\: False .. attribute:: padr PADR counts **type**\: :py:class:`Padr <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.Statistics.PacketCounts.Padr>` **config**\: False .. attribute:: pads_success PADS Success counts **type**\: :py:class:`PadsSuccess <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.Statistics.PacketCounts.PadsSuccess>` **config**\: False .. attribute:: pads_error PADS Error counts **type**\: :py:class:`PadsError <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.Statistics.PacketCounts.PadsError>` **config**\: False .. attribute:: padt PADT counts **type**\: :py:class:`Padt <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.Statistics.PacketCounts.Padt>` **config**\: False .. attribute:: session_state Session Stage counts **type**\: :py:class:`SessionState <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.Statistics.PacketCounts.SessionState>` **config**\: False .. attribute:: other Other counts **type**\: :py:class:`Other <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.Statistics.PacketCounts.Other>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.Statistics.PacketCounts, self).__init__() self.yang_name = "packet-counts" self.yang_parent_name = "statistics" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("padi", ("padi", Pppoe.Nodes.Node.Statistics.PacketCounts.Padi)), ("pado", ("pado", Pppoe.Nodes.Node.Statistics.PacketCounts.Pado)), ("padr", ("padr", Pppoe.Nodes.Node.Statistics.PacketCounts.Padr)), ("pads-success", ("pads_success", Pppoe.Nodes.Node.Statistics.PacketCounts.PadsSuccess)), ("pads-error", ("pads_error", Pppoe.Nodes.Node.Statistics.PacketCounts.PadsError)), ("padt", ("padt", Pppoe.Nodes.Node.Statistics.PacketCounts.Padt)), ("session-state", ("session_state", Pppoe.Nodes.Node.Statistics.PacketCounts.SessionState)), ("other", ("other", Pppoe.Nodes.Node.Statistics.PacketCounts.Other))]) self._leafs = OrderedDict() self.padi = Pppoe.Nodes.Node.Statistics.PacketCounts.Padi() self.padi.parent = self self._children_name_map["padi"] = "padi" self.pado = Pppoe.Nodes.Node.Statistics.PacketCounts.Pado() self.pado.parent = self self._children_name_map["pado"] = "pado" self.padr = Pppoe.Nodes.Node.Statistics.PacketCounts.Padr() self.padr.parent = self self._children_name_map["padr"] = "padr" self.pads_success = Pppoe.Nodes.Node.Statistics.PacketCounts.PadsSuccess() self.pads_success.parent = self self._children_name_map["pads_success"] = "pads-success" self.pads_error = Pppoe.Nodes.Node.Statistics.PacketCounts.PadsError() self.pads_error.parent = self self._children_name_map["pads_error"] = "pads-error" self.padt = Pppoe.Nodes.Node.Statistics.PacketCounts.Padt() self.padt.parent = self self._children_name_map["padt"] = "padt" self.session_state = Pppoe.Nodes.Node.Statistics.PacketCounts.SessionState() self.session_state.parent = self self._children_name_map["session_state"] = "session-state" self.other = Pppoe.Nodes.Node.Statistics.PacketCounts.Other() self.other.parent = self self._children_name_map["other"] = "other" self._segment_path = lambda: "packet-counts" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.Statistics.PacketCounts, [], name, value) class Padi(_Entity_): """ PADI counts .. attribute:: sent Sent **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: received Received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dropped Dropped **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.Statistics.PacketCounts.Padi, self).__init__() self.yang_name = "padi" self.yang_parent_name = "packet-counts" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('sent', (YLeaf(YType.uint32, 'sent'), ['int'])), ('received', (YLeaf(YType.uint32, 'received'), ['int'])), ('dropped', (YLeaf(YType.uint32, 'dropped'), ['int'])), ]) self.sent = None self.received = None self.dropped = None self._segment_path = lambda: "padi" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.Statistics.PacketCounts.Padi, ['sent', 'received', 'dropped'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.Statistics.PacketCounts.Padi']['meta_info'] class Pado(_Entity_): """ PADO counts .. attribute:: sent Sent **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: received Received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dropped Dropped **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.Statistics.PacketCounts.Pado, self).__init__() self.yang_name = "pado" self.yang_parent_name = "packet-counts" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('sent', (YLeaf(YType.uint32, 'sent'), ['int'])), ('received', (YLeaf(YType.uint32, 'received'), ['int'])), ('dropped', (YLeaf(YType.uint32, 'dropped'), ['int'])), ]) self.sent = None self.received = None self.dropped = None self._segment_path = lambda: "pado" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.Statistics.PacketCounts.Pado, ['sent', 'received', 'dropped'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.Statistics.PacketCounts.Pado']['meta_info'] class Padr(_Entity_): """ PADR counts .. attribute:: sent Sent **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: received Received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dropped Dropped **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.Statistics.PacketCounts.Padr, self).__init__() self.yang_name = "padr" self.yang_parent_name = "packet-counts" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('sent', (YLeaf(YType.uint32, 'sent'), ['int'])), ('received', (YLeaf(YType.uint32, 'received'), ['int'])), ('dropped', (YLeaf(YType.uint32, 'dropped'), ['int'])), ]) self.sent = None self.received = None self.dropped = None self._segment_path = lambda: "padr" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.Statistics.PacketCounts.Padr, ['sent', 'received', 'dropped'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.Statistics.PacketCounts.Padr']['meta_info'] class PadsSuccess(_Entity_): """ PADS Success counts .. attribute:: sent Sent **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: received Received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dropped Dropped **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.Statistics.PacketCounts.PadsSuccess, self).__init__() self.yang_name = "pads-success" self.yang_parent_name = "packet-counts" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('sent', (YLeaf(YType.uint32, 'sent'), ['int'])), ('received', (YLeaf(YType.uint32, 'received'), ['int'])), ('dropped', (YLeaf(YType.uint32, 'dropped'), ['int'])), ]) self.sent = None self.received = None self.dropped = None self._segment_path = lambda: "pads-success" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.Statistics.PacketCounts.PadsSuccess, ['sent', 'received', 'dropped'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.Statistics.PacketCounts.PadsSuccess']['meta_info'] class PadsError(_Entity_): """ PADS Error counts .. attribute:: sent Sent **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: received Received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dropped Dropped **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.Statistics.PacketCounts.PadsError, self).__init__() self.yang_name = "pads-error" self.yang_parent_name = "packet-counts" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('sent', (YLeaf(YType.uint32, 'sent'), ['int'])), ('received', (YLeaf(YType.uint32, 'received'), ['int'])), ('dropped', (YLeaf(YType.uint32, 'dropped'), ['int'])), ]) self.sent = None self.received = None self.dropped = None self._segment_path = lambda: "pads-error" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.Statistics.PacketCounts.PadsError, ['sent', 'received', 'dropped'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.Statistics.PacketCounts.PadsError']['meta_info'] class Padt(_Entity_): """ PADT counts .. attribute:: sent Sent **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: received Received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dropped Dropped **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.Statistics.PacketCounts.Padt, self).__init__() self.yang_name = "padt" self.yang_parent_name = "packet-counts" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('sent', (YLeaf(YType.uint32, 'sent'), ['int'])), ('received', (YLeaf(YType.uint32, 'received'), ['int'])), ('dropped', (YLeaf(YType.uint32, 'dropped'), ['int'])), ]) self.sent = None self.received = None self.dropped = None self._segment_path = lambda: "padt" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.Statistics.PacketCounts.Padt, ['sent', 'received', 'dropped'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.Statistics.PacketCounts.Padt']['meta_info'] class SessionState(_Entity_): """ Session Stage counts .. attribute:: sent Sent **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: received Received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dropped Dropped **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.Statistics.PacketCounts.SessionState, self).__init__() self.yang_name = "session-state" self.yang_parent_name = "packet-counts" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('sent', (YLeaf(YType.uint32, 'sent'), ['int'])), ('received', (YLeaf(YType.uint32, 'received'), ['int'])), ('dropped', (YLeaf(YType.uint32, 'dropped'), ['int'])), ]) self.sent = None self.received = None self.dropped = None self._segment_path = lambda: "session-state" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.Statistics.PacketCounts.SessionState, ['sent', 'received', 'dropped'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.Statistics.PacketCounts.SessionState']['meta_info'] class Other(_Entity_): """ Other counts .. attribute:: sent Sent **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: received Received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dropped Dropped **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.Statistics.PacketCounts.Other, self).__init__() self.yang_name = "other" self.yang_parent_name = "packet-counts" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('sent', (YLeaf(YType.uint32, 'sent'), ['int'])), ('received', (YLeaf(YType.uint32, 'received'), ['int'])), ('dropped', (YLeaf(YType.uint32, 'dropped'), ['int'])), ]) self.sent = None self.received = None self.dropped = None self._segment_path = lambda: "other" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.Statistics.PacketCounts.Other, ['sent', 'received', 'dropped'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.Statistics.PacketCounts.Other']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.Statistics.PacketCounts']['meta_info'] class PacketErrorCounts(_Entity_): """ Packet Error Counts .. attribute:: no_interface_handle No interface handle **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: no_packet_payload No packet payload **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: no_packet_mac_address No packet mac\-address **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: invalid_version_type_value Invalid version\-type value **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: bad_packet_length Bad packet length **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: unknown_interface Unknown interface **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: pado_received PADO received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: pads_received PADS received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: unknown_packet_type_received Unknown packet type received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: unexpected_session_id_in_packet Unexpected Session\-ID in packet **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: no_service_name_tag No Service\-Name Tag **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: padt_for_unknown_session PADT for unknown session **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: padt_with_wrong_peer_mac PADT with wrong peer\-mac **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: padt_with_wrong_vlan_tags PADT with wrong VLAN tags **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: zero_length_host_uniq Zero\-length Host\-Uniq tag **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: padt_before_pads_sent PADT before PADS sent **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: session_stage_packet_for_unknown_session Session\-stage packet for unknown session **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: session_stage_packet_with_wrong_mac Session\-stage packet with wrong mac **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: session_stage_packet_with_wrong_vlan_tags Session\-stage packet with wrong VLAN tags **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: session_stage_packet_with_no_error Session\-stage packet with no error **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: tag_too_short Tag too short **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: bad_tag_length_field Bad tag\-length field **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: multiple_service_name_tags Multiple Service\-Name tags **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: multiple_max_payload_tags Multiple Max\-Payload tags **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: invalid_max_payload_tag Invalid Max\-Payload tag **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: multiple_vendor_specific_tags Multiple Vendor\-specific tags **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: unexpected_ac_name_tag Unexpected AC\-Name tag **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: unexpected_error_tags Unexpected error tags **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: unknown_tag_received Unknown tag received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: no_iana_code_invendor_tag No IANA code in vendor tag **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: invalid_iana_code_invendor_tag Invalid IANA code in vendor tag **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: vendor_tag_too_short Vendor tag too short **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: bad_vendor_tag_length_field Bad vendor tag length field **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: multiple_host_uniq_tags Multiple Host\-Uniq tags **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: multiple_relay_session_id_tags Multiple relay\-session\-id tags **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: multiple_circuit_id_tags Multiple Circuit\-ID tags **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: multiple_remote_id_tags Multiple Remote\-ID tags **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: invalid_dsl_tag Invalid DSL tag **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: multiple_of_the_same_dsl_tag Multiple of the same DSL tag **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: invalid_iwf_tag Invalid IWF tag **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: multiple_iwf_tags Multiple IWF tags **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: unknownvendor_tag Unknown vendor\-tag **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: no_space_left_in_packet No space left in packet **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: duplicate_host_uniq_tag_received Duplicate Host\-Uniq tag received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: duplicate_relay_session_id_tag_received Duplicate Relay Session ID tag received **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: packet_too_long Packet too long **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: invalid_ale_tag Invalid ALE tag **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: multiple_ale_tags Multiple ALE tags **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: invalid_service_name Invalid Service Name **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: invalid_peer_mac Invalid Peer MAC **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: invalid_vlan_tags Invalid VLAN Tags **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: packet_on_srg_slave Packet Received on SRG Slave **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.Statistics.PacketErrorCounts, self).__init__() self.yang_name = "packet-error-counts" self.yang_parent_name = "statistics" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('no_interface_handle', (YLeaf(YType.uint32, 'no-interface-handle'), ['int'])), ('no_packet_payload', (YLeaf(YType.uint32, 'no-packet-payload'), ['int'])), ('no_packet_mac_address', (YLeaf(YType.uint32, 'no-packet-mac-address'), ['int'])), ('invalid_version_type_value', (YLeaf(YType.uint32, 'invalid-version-type-value'), ['int'])), ('bad_packet_length', (YLeaf(YType.uint32, 'bad-packet-length'), ['int'])), ('unknown_interface', (YLeaf(YType.uint32, 'unknown-interface'), ['int'])), ('pado_received', (YLeaf(YType.uint32, 'pado-received'), ['int'])), ('pads_received', (YLeaf(YType.uint32, 'pads-received'), ['int'])), ('unknown_packet_type_received', (YLeaf(YType.uint32, 'unknown-packet-type-received'), ['int'])), ('unexpected_session_id_in_packet', (YLeaf(YType.uint32, 'unexpected-session-id-in-packet'), ['int'])), ('no_service_name_tag', (YLeaf(YType.uint32, 'no-service-name-tag'), ['int'])), ('padt_for_unknown_session', (YLeaf(YType.uint32, 'padt-for-unknown-session'), ['int'])), ('padt_with_wrong_peer_mac', (YLeaf(YType.uint32, 'padt-with-wrong-peer-mac'), ['int'])), ('padt_with_wrong_vlan_tags', (YLeaf(YType.uint32, 'padt-with-wrong-vlan-tags'), ['int'])), ('zero_length_host_uniq', (YLeaf(YType.uint32, 'zero-length-host-uniq'), ['int'])), ('padt_before_pads_sent', (YLeaf(YType.uint32, 'padt-before-pads-sent'), ['int'])), ('session_stage_packet_for_unknown_session', (YLeaf(YType.uint32, 'session-stage-packet-for-unknown-session'), ['int'])), ('session_stage_packet_with_wrong_mac', (YLeaf(YType.uint32, 'session-stage-packet-with-wrong-mac'), ['int'])), ('session_stage_packet_with_wrong_vlan_tags', (YLeaf(YType.uint32, 'session-stage-packet-with-wrong-vlan-tags'), ['int'])), ('session_stage_packet_with_no_error', (YLeaf(YType.uint32, 'session-stage-packet-with-no-error'), ['int'])), ('tag_too_short', (YLeaf(YType.uint32, 'tag-too-short'), ['int'])), ('bad_tag_length_field', (YLeaf(YType.uint32, 'bad-tag-length-field'), ['int'])), ('multiple_service_name_tags', (YLeaf(YType.uint32, 'multiple-service-name-tags'), ['int'])), ('multiple_max_payload_tags', (YLeaf(YType.uint32, 'multiple-max-payload-tags'), ['int'])), ('invalid_max_payload_tag', (YLeaf(YType.uint32, 'invalid-max-payload-tag'), ['int'])), ('multiple_vendor_specific_tags', (YLeaf(YType.uint32, 'multiple-vendor-specific-tags'), ['int'])), ('unexpected_ac_name_tag', (YLeaf(YType.uint32, 'unexpected-ac-name-tag'), ['int'])), ('unexpected_error_tags', (YLeaf(YType.uint32, 'unexpected-error-tags'), ['int'])), ('unknown_tag_received', (YLeaf(YType.uint32, 'unknown-tag-received'), ['int'])), ('no_iana_code_invendor_tag', (YLeaf(YType.uint32, 'no-iana-code-invendor-tag'), ['int'])), ('invalid_iana_code_invendor_tag', (YLeaf(YType.uint32, 'invalid-iana-code-invendor-tag'), ['int'])), ('vendor_tag_too_short', (YLeaf(YType.uint32, 'vendor-tag-too-short'), ['int'])), ('bad_vendor_tag_length_field', (YLeaf(YType.uint32, 'bad-vendor-tag-length-field'), ['int'])), ('multiple_host_uniq_tags', (YLeaf(YType.uint32, 'multiple-host-uniq-tags'), ['int'])), ('multiple_relay_session_id_tags', (YLeaf(YType.uint32, 'multiple-relay-session-id-tags'), ['int'])), ('multiple_circuit_id_tags', (YLeaf(YType.uint32, 'multiple-circuit-id-tags'), ['int'])), ('multiple_remote_id_tags', (YLeaf(YType.uint32, 'multiple-remote-id-tags'), ['int'])), ('invalid_dsl_tag', (YLeaf(YType.uint32, 'invalid-dsl-tag'), ['int'])), ('multiple_of_the_same_dsl_tag', (YLeaf(YType.uint32, 'multiple-of-the-same-dsl-tag'), ['int'])), ('invalid_iwf_tag', (YLeaf(YType.uint32, 'invalid-iwf-tag'), ['int'])), ('multiple_iwf_tags', (YLeaf(YType.uint32, 'multiple-iwf-tags'), ['int'])), ('unknownvendor_tag', (YLeaf(YType.uint32, 'unknownvendor-tag'), ['int'])), ('no_space_left_in_packet', (YLeaf(YType.uint32, 'no-space-left-in-packet'), ['int'])), ('duplicate_host_uniq_tag_received', (YLeaf(YType.uint32, 'duplicate-host-uniq-tag-received'), ['int'])), ('duplicate_relay_session_id_tag_received', (YLeaf(YType.uint32, 'duplicate-relay-session-id-tag-received'), ['int'])), ('packet_too_long', (YLeaf(YType.uint32, 'packet-too-long'), ['int'])), ('invalid_ale_tag', (YLeaf(YType.uint32, 'invalid-ale-tag'), ['int'])), ('multiple_ale_tags', (YLeaf(YType.uint32, 'multiple-ale-tags'), ['int'])), ('invalid_service_name', (YLeaf(YType.uint32, 'invalid-service-name'), ['int'])), ('invalid_peer_mac', (YLeaf(YType.uint32, 'invalid-peer-mac'), ['int'])), ('invalid_vlan_tags', (YLeaf(YType.uint32, 'invalid-vlan-tags'), ['int'])), ('packet_on_srg_slave', (YLeaf(YType.uint32, 'packet-on-srg-slave'), ['int'])), ]) self.no_interface_handle = None self.no_packet_payload = None self.no_packet_mac_address = None self.invalid_version_type_value = None self.bad_packet_length = None self.unknown_interface = None self.pado_received = None self.pads_received = None self.unknown_packet_type_received = None self.unexpected_session_id_in_packet = None self.no_service_name_tag = None self.padt_for_unknown_session = None self.padt_with_wrong_peer_mac = None self.padt_with_wrong_vlan_tags = None self.zero_length_host_uniq = None self.padt_before_pads_sent = None self.session_stage_packet_for_unknown_session = None self.session_stage_packet_with_wrong_mac = None self.session_stage_packet_with_wrong_vlan_tags = None self.session_stage_packet_with_no_error = None self.tag_too_short = None self.bad_tag_length_field = None self.multiple_service_name_tags = None self.multiple_max_payload_tags = None self.invalid_max_payload_tag = None self.multiple_vendor_specific_tags = None self.unexpected_ac_name_tag = None self.unexpected_error_tags = None self.unknown_tag_received = None self.no_iana_code_invendor_tag = None self.invalid_iana_code_invendor_tag = None self.vendor_tag_too_short = None self.bad_vendor_tag_length_field = None self.multiple_host_uniq_tags = None self.multiple_relay_session_id_tags = None self.multiple_circuit_id_tags = None self.multiple_remote_id_tags = None self.invalid_dsl_tag = None self.multiple_of_the_same_dsl_tag = None self.invalid_iwf_tag = None self.multiple_iwf_tags = None self.unknownvendor_tag = None self.no_space_left_in_packet = None self.duplicate_host_uniq_tag_received = None self.duplicate_relay_session_id_tag_received = None self.packet_too_long = None self.invalid_ale_tag = None self.multiple_ale_tags = None self.invalid_service_name = None self.invalid_peer_mac = None self.invalid_vlan_tags = None self.packet_on_srg_slave = None self._segment_path = lambda: "packet-error-counts" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.Statistics.PacketErrorCounts, ['no_interface_handle', 'no_packet_payload', 'no_packet_mac_address', 'invalid_version_type_value', 'bad_packet_length', 'unknown_interface', 'pado_received', 'pads_received', 'unknown_packet_type_received', 'unexpected_session_id_in_packet', 'no_service_name_tag', 'padt_for_unknown_session', 'padt_with_wrong_peer_mac', 'padt_with_wrong_vlan_tags', 'zero_length_host_uniq', 'padt_before_pads_sent', 'session_stage_packet_for_unknown_session', 'session_stage_packet_with_wrong_mac', 'session_stage_packet_with_wrong_vlan_tags', 'session_stage_packet_with_no_error', 'tag_too_short', 'bad_tag_length_field', 'multiple_service_name_tags', 'multiple_max_payload_tags', 'invalid_max_payload_tag', 'multiple_vendor_specific_tags', 'unexpected_ac_name_tag', 'unexpected_error_tags', 'unknown_tag_received', 'no_iana_code_invendor_tag', 'invalid_iana_code_invendor_tag', 'vendor_tag_too_short', 'bad_vendor_tag_length_field', 'multiple_host_uniq_tags', 'multiple_relay_session_id_tags', 'multiple_circuit_id_tags', 'multiple_remote_id_tags', 'invalid_dsl_tag', 'multiple_of_the_same_dsl_tag', 'invalid_iwf_tag', 'multiple_iwf_tags', 'unknownvendor_tag', 'no_space_left_in_packet', 'duplicate_host_uniq_tag_received', 'duplicate_relay_session_id_tag_received', 'packet_too_long', 'invalid_ale_tag', 'multiple_ale_tags', 'invalid_service_name', 'invalid_peer_mac', 'invalid_vlan_tags', 'packet_on_srg_slave'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.Statistics.PacketErrorCounts']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.Statistics']['meta_info'] class AccessInterface(_Entity_): """ PPPoE access interface information .. attribute:: summaries PPPoE access interface summary information **type**\: :py:class:`Summaries <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.AccessInterface.Summaries>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.AccessInterface, self).__init__() self.yang_name = "access-interface" self.yang_parent_name = "node" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("summaries", ("summaries", Pppoe.Nodes.Node.AccessInterface.Summaries))]) self._leafs = OrderedDict() self.summaries = Pppoe.Nodes.Node.AccessInterface.Summaries() self.summaries.parent = self self._children_name_map["summaries"] = "summaries" self._segment_path = lambda: "access-interface" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.AccessInterface, [], name, value) class Summaries(_Entity_): """ PPPoE access interface summary information .. attribute:: summary Summary information for a PPPoE\-enabled access interface **type**\: list of :py:class:`Summary <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.AccessInterface.Summaries.Summary>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.AccessInterface.Summaries, self).__init__() self.yang_name = "summaries" self.yang_parent_name = "access-interface" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("summary", ("summary", Pppoe.Nodes.Node.AccessInterface.Summaries.Summary))]) self._leafs = OrderedDict() self.summary = YList(self) self._segment_path = lambda: "summaries" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.AccessInterface.Summaries, [], name, value) class Summary(_Entity_): """ Summary information for a PPPoE\-enabled access interface .. attribute:: interface_name (key) PPPoE Access Interface **type**\: str **pattern:** [a\-zA\-Z0\-9.\_/\-]+ **config**\: False .. attribute:: interface_name_xr Interface **type**\: str **pattern:** [a\-zA\-Z0\-9.\_/\-]+ **config**\: False .. attribute:: interface_state Interface State **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: mac_address Mac Address **type**\: str **pattern:** [0\-9a\-fA\-F]{2}(\:[0\-9a\-fA\-F]{2}){5} **config**\: False .. attribute:: bba_group_name BBA Group **type**\: str **config**\: False .. attribute:: is_ready Is Ready **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: sessions Session Count **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: incomplete_sessions Incomplete Session Count **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.AccessInterface.Summaries.Summary, self).__init__() self.yang_name = "summary" self.yang_parent_name = "summaries" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = ['interface_name'] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('interface_name', (YLeaf(YType.str, 'interface-name'), ['str'])), ('interface_name_xr', (YLeaf(YType.str, 'interface-name-xr'), ['str'])), ('interface_state', (YLeaf(YType.uint32, 'interface-state'), ['int'])), ('mac_address', (YLeaf(YType.str, 'mac-address'), ['str'])), ('bba_group_name', (YLeaf(YType.str, 'bba-group-name'), ['str'])), ('is_ready', (YLeaf(YType.int32, 'is-ready'), ['int'])), ('sessions', (YLeaf(YType.uint32, 'sessions'), ['int'])), ('incomplete_sessions', (YLeaf(YType.uint32, 'incomplete-sessions'), ['int'])), ]) self.interface_name = None self.interface_name_xr = None self.interface_state = None self.mac_address = None self.bba_group_name = None self.is_ready = None self.sessions = None self.incomplete_sessions = None self._segment_path = lambda: "summary" + "[interface-name='" + str(self.interface_name) + "']" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.AccessInterface.Summaries.Summary, ['interface_name', 'interface_name_xr', 'interface_state', 'mac_address', 'bba_group_name', 'is_ready', 'sessions', 'incomplete_sessions'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.AccessInterface.Summaries.Summary']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.AccessInterface.Summaries']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.AccessInterface']['meta_info'] class Interfaces(_Entity_): """ Per interface PPPoE operational data .. attribute:: interface Data for a PPPoE interface **type**\: list of :py:class:`Interface <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.Interfaces.Interface>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.Interfaces, self).__init__() self.yang_name = "interfaces" self.yang_parent_name = "node" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("interface", ("interface", Pppoe.Nodes.Node.Interfaces.Interface))]) self._leafs = OrderedDict() self.interface = YList(self) self._segment_path = lambda: "interfaces" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.Interfaces, [], name, value) class Interface(_Entity_): """ Data for a PPPoE interface .. attribute:: interface_name (key) PPPoE Interface **type**\: str **pattern:** [a\-zA\-Z0\-9.\_/\-]+ **config**\: False .. attribute:: tags Tags **type**\: :py:class:`Tags <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.Interfaces.Interface.Tags>` **config**\: False .. attribute:: interface_name_xr Interface **type**\: str **pattern:** [a\-zA\-Z0\-9.\_/\-]+ **config**\: False .. attribute:: access_interface_name Access Interface **type**\: str **pattern:** [a\-zA\-Z0\-9.\_/\-]+ **config**\: False .. attribute:: bba_group_name BBA Group **type**\: str **config**\: False .. attribute:: session_id Session ID **type**\: int **range:** 0..65535 **config**\: False .. attribute:: local_mac_address Local Mac\-Address **type**\: str **pattern:** [0\-9a\-fA\-F]{2}(\:[0\-9a\-fA\-F]{2}){5} **config**\: False .. attribute:: peer_mac_address Peer Mac\-Address **type**\: str **pattern:** [0\-9a\-fA\-F]{2}(\:[0\-9a\-fA\-F]{2}){5} **config**\: False .. attribute:: is_complete Is Complete **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: vlan_outer_id VLAN Outer ID **type**\: int **range:** 0..65535 **config**\: False .. attribute:: vlan_inner_id VLAN Inner ID **type**\: int **range:** 0..65535 **config**\: False .. attribute:: srg_state SRG state **type**\: :py:class:`PppoeMaSessionIdbSrgState <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.PppoeMaSessionIdbSrgState>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.Interfaces.Interface, self).__init__() self.yang_name = "interface" self.yang_parent_name = "interfaces" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = ['interface_name'] self._child_classes = OrderedDict([("tags", ("tags", Pppoe.Nodes.Node.Interfaces.Interface.Tags))]) self._leafs = OrderedDict([ ('interface_name', (YLeaf(YType.str, 'interface-name'), ['str'])), ('interface_name_xr', (YLeaf(YType.str, 'interface-name-xr'), ['str'])), ('access_interface_name', (YLeaf(YType.str, 'access-interface-name'), ['str'])), ('bba_group_name', (YLeaf(YType.str, 'bba-group-name'), ['str'])), ('session_id', (YLeaf(YType.uint16, 'session-id'), ['int'])), ('local_mac_address', (YLeaf(YType.str, 'local-mac-address'), ['str'])), ('peer_mac_address', (YLeaf(YType.str, 'peer-mac-address'), ['str'])), ('is_complete', (YLeaf(YType.int32, 'is-complete'), ['int'])), ('vlan_outer_id', (YLeaf(YType.uint16, 'vlan-outer-id'), ['int'])), ('vlan_inner_id', (YLeaf(YType.uint16, 'vlan-inner-id'), ['int'])), ('srg_state', (YLeaf(YType.enumeration, 'srg-state'), [('ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper', 'PppoeMaSessionIdbSrgState', '')])), ]) self.interface_name = None self.interface_name_xr = None self.access_interface_name = None self.bba_group_name = None self.session_id = None self.local_mac_address = None self.peer_mac_address = None self.is_complete = None self.vlan_outer_id = None self.vlan_inner_id = None self.srg_state = None self.tags = Pppoe.Nodes.Node.Interfaces.Interface.Tags() self.tags.parent = self self._children_name_map["tags"] = "tags" self._segment_path = lambda: "interface" + "[interface-name='" + str(self.interface_name) + "']" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.Interfaces.Interface, ['interface_name', 'interface_name_xr', 'access_interface_name', 'bba_group_name', 'session_id', 'local_mac_address', 'peer_mac_address', 'is_complete', 'vlan_outer_id', 'vlan_inner_id', 'srg_state'], name, value) class Tags(_Entity_): """ Tags .. attribute:: access_loop_encapsulation Access Loop Encapsulation **type**\: :py:class:`AccessLoopEncapsulation <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.Interfaces.Interface.Tags.AccessLoopEncapsulation>` **config**\: False .. attribute:: service_name Service Name **type**\: str **config**\: False .. attribute:: max_payload Max Payload **type**\: int **range:** 0..65535 **config**\: False .. attribute:: host_uniq Host Uniq **type**\: str **pattern:** ([0\-9a\-fA\-F]{2}(\:[0\-9a\-fA\-F]{2})\*)? **config**\: False .. attribute:: relay_session_id Relay Session ID **type**\: str **pattern:** ([0\-9a\-fA\-F]{2}(\:[0\-9a\-fA\-F]{2})\*)? **config**\: False .. attribute:: remote_id Remote ID **type**\: str **config**\: False .. attribute:: circuit_id Circuit ID **type**\: str **config**\: False .. attribute:: is_iwf Is IWF **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: dsl_actual_up DSL Actual Up **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_actual_down DSL Actual Down **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_min_up DSL Min Up **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_min_down DSL Min Down **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_attain_up DSL Attain Up **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_attain_down DSL Attain Down **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_max_up DSL Max Up **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_max_down DSL Max Down **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_min_up_low DSL Min Up Low **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_min_down_low DSL Min Down Low **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_max_delay_up DSL Max Delay Up **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_actual_delay_up DSL Actual Delay Up **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_max_delay_down DSL Max Delay Down **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: dsl_actual_delay_down DSL Actual Delay Down **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.Interfaces.Interface.Tags, self).__init__() self.yang_name = "tags" self.yang_parent_name = "interface" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("access-loop-encapsulation", ("access_loop_encapsulation", Pppoe.Nodes.Node.Interfaces.Interface.Tags.AccessLoopEncapsulation))]) self._leafs = OrderedDict([ ('service_name', (YLeaf(YType.str, 'service-name'), ['str'])), ('max_payload', (YLeaf(YType.uint16, 'max-payload'), ['int'])), ('host_uniq', (YLeaf(YType.str, 'host-uniq'), ['str'])), ('relay_session_id', (YLeaf(YType.str, 'relay-session-id'), ['str'])), ('remote_id', (YLeaf(YType.str, 'remote-id'), ['str'])), ('circuit_id', (YLeaf(YType.str, 'circuit-id'), ['str'])), ('is_iwf', (YLeaf(YType.int32, 'is-iwf'), ['int'])), ('dsl_actual_up', (YLeaf(YType.uint32, 'dsl-actual-up'), ['int'])), ('dsl_actual_down', (YLeaf(YType.uint32, 'dsl-actual-down'), ['int'])), ('dsl_min_up', (YLeaf(YType.uint32, 'dsl-min-up'), ['int'])), ('dsl_min_down', (YLeaf(YType.uint32, 'dsl-min-down'), ['int'])), ('dsl_attain_up', (YLeaf(YType.uint32, 'dsl-attain-up'), ['int'])), ('dsl_attain_down', (YLeaf(YType.uint32, 'dsl-attain-down'), ['int'])), ('dsl_max_up', (YLeaf(YType.uint32, 'dsl-max-up'), ['int'])), ('dsl_max_down', (YLeaf(YType.uint32, 'dsl-max-down'), ['int'])), ('dsl_min_up_low', (YLeaf(YType.uint32, 'dsl-min-up-low'), ['int'])), ('dsl_min_down_low', (YLeaf(YType.uint32, 'dsl-min-down-low'), ['int'])), ('dsl_max_delay_up', (YLeaf(YType.uint32, 'dsl-max-delay-up'), ['int'])), ('dsl_actual_delay_up', (YLeaf(YType.uint32, 'dsl-actual-delay-up'), ['int'])), ('dsl_max_delay_down', (YLeaf(YType.uint32, 'dsl-max-delay-down'), ['int'])), ('dsl_actual_delay_down', (YLeaf(YType.uint32, 'dsl-actual-delay-down'), ['int'])), ]) self.service_name = None self.max_payload = None self.host_uniq = None self.relay_session_id = None self.remote_id = None self.circuit_id = None self.is_iwf = None self.dsl_actual_up = None self.dsl_actual_down = None self.dsl_min_up = None self.dsl_min_down = None self.dsl_attain_up = None self.dsl_attain_down = None self.dsl_max_up = None self.dsl_max_down = None self.dsl_min_up_low = None self.dsl_min_down_low = None self.dsl_max_delay_up = None self.dsl_actual_delay_up = None self.dsl_max_delay_down = None self.dsl_actual_delay_down = None self.access_loop_encapsulation = Pppoe.Nodes.Node.Interfaces.Interface.Tags.AccessLoopEncapsulation() self.access_loop_encapsulation.parent = self self._children_name_map["access_loop_encapsulation"] = "access-loop-encapsulation" self._segment_path = lambda: "tags" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.Interfaces.Interface.Tags, ['service_name', 'max_payload', 'host_uniq', 'relay_session_id', 'remote_id', 'circuit_id', 'is_iwf', 'dsl_actual_up', 'dsl_actual_down', 'dsl_min_up', 'dsl_min_down', 'dsl_attain_up', 'dsl_attain_down', 'dsl_max_up', 'dsl_max_down', 'dsl_min_up_low', 'dsl_min_down_low', 'dsl_max_delay_up', 'dsl_actual_delay_up', 'dsl_max_delay_down', 'dsl_actual_delay_down'], name, value) class AccessLoopEncapsulation(_Entity_): """ Access Loop Encapsulation .. attribute:: data_link Data Link **type**\: int **range:** 0..255 **config**\: False .. attribute:: encaps1 Encaps 1 **type**\: int **range:** 0..255 **config**\: False .. attribute:: encaps2 Encaps 2 **type**\: int **range:** 0..255 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.Interfaces.Interface.Tags.AccessLoopEncapsulation, self).__init__() self.yang_name = "access-loop-encapsulation" self.yang_parent_name = "tags" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('data_link', (YLeaf(YType.uint8, 'data-link'), ['int'])), ('encaps1', (YLeaf(YType.uint8, 'encaps1'), ['int'])), ('encaps2', (YLeaf(YType.uint8, 'encaps2'), ['int'])), ]) self.data_link = None self.encaps1 = None self.encaps2 = None self._segment_path = lambda: "access-loop-encapsulation" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.Interfaces.Interface.Tags.AccessLoopEncapsulation, ['data_link', 'encaps1', 'encaps2'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.Interfaces.Interface.Tags.AccessLoopEncapsulation']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.Interfaces.Interface.Tags']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.Interfaces.Interface']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.Interfaces']['meta_info'] class BbaGroups(_Entity_): """ PPPoE BBA\-Group information .. attribute:: bba_group PPPoE BBA\-Group information **type**\: list of :py:class:`BbaGroup <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups, self).__init__() self.yang_name = "bba-groups" self.yang_parent_name = "node" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("bba-group", ("bba_group", Pppoe.Nodes.Node.BbaGroups.BbaGroup))]) self._leafs = OrderedDict() self.bba_group = YList(self) self._segment_path = lambda: "bba-groups" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups, [], name, value) class BbaGroup(_Entity_): """ PPPoE BBA\-Group information .. attribute:: bba_group_name (key) BBA Group **type**\: str **pattern:** [\\w\\\-\\.\:,\_@#%$\\+=\\\|;]+ **config**\: False .. attribute:: limit_config BBA\-Group limit configuration information **type**\: :py:class:`LimitConfig <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig>` **config**\: False .. attribute:: limits PPPoE session limit information **type**\: :py:class:`Limits <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.Limits>` **config**\: False .. attribute:: throttles PPPoE throttle information **type**\: :py:class:`Throttles <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.Throttles>` **config**\: False .. attribute:: throttle_config BBA\-Group throttle configuration information **type**\: :py:class:`ThrottleConfig <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup, self).__init__() self.yang_name = "bba-group" self.yang_parent_name = "bba-groups" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = ['bba_group_name'] self._child_classes = OrderedDict([("limit-config", ("limit_config", Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig)), ("limits", ("limits", Pppoe.Nodes.Node.BbaGroups.BbaGroup.Limits)), ("throttles", ("throttles", Pppoe.Nodes.Node.BbaGroups.BbaGroup.Throttles)), ("throttle-config", ("throttle_config", Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig))]) self._leafs = OrderedDict([ ('bba_group_name', (YLeaf(YType.str, 'bba-group-name'), ['str'])), ]) self.bba_group_name = None self.limit_config = Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig() self.limit_config.parent = self self._children_name_map["limit_config"] = "limit-config" self.limits = Pppoe.Nodes.Node.BbaGroups.BbaGroup.Limits() self.limits.parent = self self._children_name_map["limits"] = "limits" self.throttles = Pppoe.Nodes.Node.BbaGroups.BbaGroup.Throttles() self.throttles.parent = self self._children_name_map["throttles"] = "throttles" self.throttle_config = Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig() self.throttle_config.parent = self self._children_name_map["throttle_config"] = "throttle-config" self._segment_path = lambda: "bba-group" + "[bba-group-name='" + str(self.bba_group_name) + "']" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup, ['bba_group_name'], name, value) class LimitConfig(_Entity_): """ BBA\-Group limit configuration information .. attribute:: card Card **type**\: :py:class:`Card <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.Card>` **config**\: False .. attribute:: access_intf Access Interface **type**\: :py:class:`AccessIntf <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.AccessIntf>` **config**\: False .. attribute:: mac MAC **type**\: :py:class:`Mac <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.Mac>` **config**\: False .. attribute:: mac_iwf MAC IWF **type**\: :py:class:`MacIwf <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.MacIwf>` **config**\: False .. attribute:: mac_access_interface MAC Access Interface **type**\: :py:class:`MacAccessInterface <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.MacAccessInterface>` **config**\: False .. attribute:: mac_iwf_access_interface MAC IWF Access Interface **type**\: :py:class:`MacIwfAccessInterface <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.MacIwfAccessInterface>` **config**\: False .. attribute:: circuit_id Circuit ID **type**\: :py:class:`CircuitId <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.CircuitId>` **config**\: False .. attribute:: remote_id Remote ID **type**\: :py:class:`RemoteId <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.RemoteId>` **config**\: False .. attribute:: circuit_id_and_remote_id Circuit ID and Remote ID **type**\: :py:class:`CircuitIdAndRemoteId <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.CircuitIdAndRemoteId>` **config**\: False .. attribute:: outer_vlan_id Outer VLAN ID **type**\: :py:class:`OuterVlanId <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.OuterVlanId>` **config**\: False .. attribute:: inner_vlan_id Inner VLAN ID **type**\: :py:class:`InnerVlanId <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.InnerVlanId>` **config**\: False .. attribute:: vlan_id VLAN ID **type**\: :py:class:`VlanId <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.VlanId>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig, self).__init__() self.yang_name = "limit-config" self.yang_parent_name = "bba-group" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("card", ("card", Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.Card)), ("access-intf", ("access_intf", Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.AccessIntf)), ("mac", ("mac", Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.Mac)), ("mac-iwf", ("mac_iwf", Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.MacIwf)), ("mac-access-interface", ("mac_access_interface", Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.MacAccessInterface)), ("mac-iwf-access-interface", ("mac_iwf_access_interface", Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.MacIwfAccessInterface)), ("circuit-id", ("circuit_id", Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.CircuitId)), ("remote-id", ("remote_id", Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.RemoteId)), ("circuit-id-and-remote-id", ("circuit_id_and_remote_id", Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.CircuitIdAndRemoteId)), ("outer-vlan-id", ("outer_vlan_id", Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.OuterVlanId)), ("inner-vlan-id", ("inner_vlan_id", Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.InnerVlanId)), ("vlan-id", ("vlan_id", Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.VlanId))]) self._leafs = OrderedDict() self.card = Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.Card() self.card.parent = self self._children_name_map["card"] = "card" self.access_intf = Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.AccessIntf() self.access_intf.parent = self self._children_name_map["access_intf"] = "access-intf" self.mac = Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.Mac() self.mac.parent = self self._children_name_map["mac"] = "mac" self.mac_iwf = Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.MacIwf() self.mac_iwf.parent = self self._children_name_map["mac_iwf"] = "mac-iwf" self.mac_access_interface = Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.MacAccessInterface() self.mac_access_interface.parent = self self._children_name_map["mac_access_interface"] = "mac-access-interface" self.mac_iwf_access_interface = Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.MacIwfAccessInterface() self.mac_iwf_access_interface.parent = self self._children_name_map["mac_iwf_access_interface"] = "mac-iwf-access-interface" self.circuit_id = Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.CircuitId() self.circuit_id.parent = self self._children_name_map["circuit_id"] = "circuit-id" self.remote_id = Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.RemoteId() self.remote_id.parent = self self._children_name_map["remote_id"] = "remote-id" self.circuit_id_and_remote_id = Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.CircuitIdAndRemoteId() self.circuit_id_and_remote_id.parent = self self._children_name_map["circuit_id_and_remote_id"] = "circuit-id-and-remote-id" self.outer_vlan_id = Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.OuterVlanId() self.outer_vlan_id.parent = self self._children_name_map["outer_vlan_id"] = "outer-vlan-id" self.inner_vlan_id = Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.InnerVlanId() self.inner_vlan_id.parent = self self._children_name_map["inner_vlan_id"] = "inner-vlan-id" self.vlan_id = Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.VlanId() self.vlan_id.parent = self self._children_name_map["vlan_id"] = "vlan-id" self._segment_path = lambda: "limit-config" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig, [], name, value) class Card(_Entity_): """ Card .. attribute:: max_limit Max Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: threshold Threshold **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: radius_override_enabled Radius override is enabled **type**\: int **range:** \-2147483648..2147483647 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.Card, self).__init__() self.yang_name = "card" self.yang_parent_name = "limit-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('max_limit', (YLeaf(YType.uint32, 'max-limit'), ['int'])), ('threshold', (YLeaf(YType.uint32, 'threshold'), ['int'])), ('radius_override_enabled', (YLeaf(YType.int32, 'radius-override-enabled'), ['int'])), ]) self.max_limit = None self.threshold = None self.radius_override_enabled = None self._segment_path = lambda: "card" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.Card, ['max_limit', 'threshold', 'radius_override_enabled'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.Card']['meta_info'] class AccessIntf(_Entity_): """ Access Interface .. attribute:: max_limit Max Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: threshold Threshold **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: radius_override_enabled Radius override is enabled **type**\: int **range:** \-2147483648..2147483647 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.AccessIntf, self).__init__() self.yang_name = "access-intf" self.yang_parent_name = "limit-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('max_limit', (YLeaf(YType.uint32, 'max-limit'), ['int'])), ('threshold', (YLeaf(YType.uint32, 'threshold'), ['int'])), ('radius_override_enabled', (YLeaf(YType.int32, 'radius-override-enabled'), ['int'])), ]) self.max_limit = None self.threshold = None self.radius_override_enabled = None self._segment_path = lambda: "access-intf" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.AccessIntf, ['max_limit', 'threshold', 'radius_override_enabled'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.AccessIntf']['meta_info'] class Mac(_Entity_): """ MAC .. attribute:: max_limit Max Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: threshold Threshold **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: radius_override_enabled Radius override is enabled **type**\: int **range:** \-2147483648..2147483647 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.Mac, self).__init__() self.yang_name = "mac" self.yang_parent_name = "limit-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('max_limit', (YLeaf(YType.uint32, 'max-limit'), ['int'])), ('threshold', (YLeaf(YType.uint32, 'threshold'), ['int'])), ('radius_override_enabled', (YLeaf(YType.int32, 'radius-override-enabled'), ['int'])), ]) self.max_limit = None self.threshold = None self.radius_override_enabled = None self._segment_path = lambda: "mac" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.Mac, ['max_limit', 'threshold', 'radius_override_enabled'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.Mac']['meta_info'] class MacIwf(_Entity_): """ MAC IWF .. attribute:: max_limit Max Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: threshold Threshold **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: radius_override_enabled Radius override is enabled **type**\: int **range:** \-2147483648..2147483647 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.MacIwf, self).__init__() self.yang_name = "mac-iwf" self.yang_parent_name = "limit-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('max_limit', (YLeaf(YType.uint32, 'max-limit'), ['int'])), ('threshold', (YLeaf(YType.uint32, 'threshold'), ['int'])), ('radius_override_enabled', (YLeaf(YType.int32, 'radius-override-enabled'), ['int'])), ]) self.max_limit = None self.threshold = None self.radius_override_enabled = None self._segment_path = lambda: "mac-iwf" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.MacIwf, ['max_limit', 'threshold', 'radius_override_enabled'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.MacIwf']['meta_info'] class MacAccessInterface(_Entity_): """ MAC Access Interface .. attribute:: max_limit Max Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: threshold Threshold **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: radius_override_enabled Radius override is enabled **type**\: int **range:** \-2147483648..2147483647 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.MacAccessInterface, self).__init__() self.yang_name = "mac-access-interface" self.yang_parent_name = "limit-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('max_limit', (YLeaf(YType.uint32, 'max-limit'), ['int'])), ('threshold', (YLeaf(YType.uint32, 'threshold'), ['int'])), ('radius_override_enabled', (YLeaf(YType.int32, 'radius-override-enabled'), ['int'])), ]) self.max_limit = None self.threshold = None self.radius_override_enabled = None self._segment_path = lambda: "mac-access-interface" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.MacAccessInterface, ['max_limit', 'threshold', 'radius_override_enabled'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.MacAccessInterface']['meta_info'] class MacIwfAccessInterface(_Entity_): """ MAC IWF Access Interface .. attribute:: max_limit Max Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: threshold Threshold **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: radius_override_enabled Radius override is enabled **type**\: int **range:** \-2147483648..2147483647 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.MacIwfAccessInterface, self).__init__() self.yang_name = "mac-iwf-access-interface" self.yang_parent_name = "limit-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('max_limit', (YLeaf(YType.uint32, 'max-limit'), ['int'])), ('threshold', (YLeaf(YType.uint32, 'threshold'), ['int'])), ('radius_override_enabled', (YLeaf(YType.int32, 'radius-override-enabled'), ['int'])), ]) self.max_limit = None self.threshold = None self.radius_override_enabled = None self._segment_path = lambda: "mac-iwf-access-interface" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.MacIwfAccessInterface, ['max_limit', 'threshold', 'radius_override_enabled'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.MacIwfAccessInterface']['meta_info'] class CircuitId(_Entity_): """ Circuit ID .. attribute:: max_limit Max Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: threshold Threshold **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: radius_override_enabled Radius override is enabled **type**\: int **range:** \-2147483648..2147483647 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.CircuitId, self).__init__() self.yang_name = "circuit-id" self.yang_parent_name = "limit-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('max_limit', (YLeaf(YType.uint32, 'max-limit'), ['int'])), ('threshold', (YLeaf(YType.uint32, 'threshold'), ['int'])), ('radius_override_enabled', (YLeaf(YType.int32, 'radius-override-enabled'), ['int'])), ]) self.max_limit = None self.threshold = None self.radius_override_enabled = None self._segment_path = lambda: "circuit-id" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.CircuitId, ['max_limit', 'threshold', 'radius_override_enabled'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.CircuitId']['meta_info'] class RemoteId(_Entity_): """ Remote ID .. attribute:: max_limit Max Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: threshold Threshold **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: radius_override_enabled Radius override is enabled **type**\: int **range:** \-2147483648..2147483647 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.RemoteId, self).__init__() self.yang_name = "remote-id" self.yang_parent_name = "limit-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('max_limit', (YLeaf(YType.uint32, 'max-limit'), ['int'])), ('threshold', (YLeaf(YType.uint32, 'threshold'), ['int'])), ('radius_override_enabled', (YLeaf(YType.int32, 'radius-override-enabled'), ['int'])), ]) self.max_limit = None self.threshold = None self.radius_override_enabled = None self._segment_path = lambda: "remote-id" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.RemoteId, ['max_limit', 'threshold', 'radius_override_enabled'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.RemoteId']['meta_info'] class CircuitIdAndRemoteId(_Entity_): """ Circuit ID and Remote ID .. attribute:: max_limit Max Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: threshold Threshold **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: radius_override_enabled Radius override is enabled **type**\: int **range:** \-2147483648..2147483647 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.CircuitIdAndRemoteId, self).__init__() self.yang_name = "circuit-id-and-remote-id" self.yang_parent_name = "limit-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('max_limit', (YLeaf(YType.uint32, 'max-limit'), ['int'])), ('threshold', (YLeaf(YType.uint32, 'threshold'), ['int'])), ('radius_override_enabled', (YLeaf(YType.int32, 'radius-override-enabled'), ['int'])), ]) self.max_limit = None self.threshold = None self.radius_override_enabled = None self._segment_path = lambda: "circuit-id-and-remote-id" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.CircuitIdAndRemoteId, ['max_limit', 'threshold', 'radius_override_enabled'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.CircuitIdAndRemoteId']['meta_info'] class OuterVlanId(_Entity_): """ Outer VLAN ID .. attribute:: max_limit Max Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: threshold Threshold **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: radius_override_enabled Radius override is enabled **type**\: int **range:** \-2147483648..2147483647 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.OuterVlanId, self).__init__() self.yang_name = "outer-vlan-id" self.yang_parent_name = "limit-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('max_limit', (YLeaf(YType.uint32, 'max-limit'), ['int'])), ('threshold', (YLeaf(YType.uint32, 'threshold'), ['int'])), ('radius_override_enabled', (YLeaf(YType.int32, 'radius-override-enabled'), ['int'])), ]) self.max_limit = None self.threshold = None self.radius_override_enabled = None self._segment_path = lambda: "outer-vlan-id" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.OuterVlanId, ['max_limit', 'threshold', 'radius_override_enabled'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.OuterVlanId']['meta_info'] class InnerVlanId(_Entity_): """ Inner VLAN ID .. attribute:: max_limit Max Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: threshold Threshold **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: radius_override_enabled Radius override is enabled **type**\: int **range:** \-2147483648..2147483647 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.InnerVlanId, self).__init__() self.yang_name = "inner-vlan-id" self.yang_parent_name = "limit-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('max_limit', (YLeaf(YType.uint32, 'max-limit'), ['int'])), ('threshold', (YLeaf(YType.uint32, 'threshold'), ['int'])), ('radius_override_enabled', (YLeaf(YType.int32, 'radius-override-enabled'), ['int'])), ]) self.max_limit = None self.threshold = None self.radius_override_enabled = None self._segment_path = lambda: "inner-vlan-id" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.InnerVlanId, ['max_limit', 'threshold', 'radius_override_enabled'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.InnerVlanId']['meta_info'] class VlanId(_Entity_): """ VLAN ID .. attribute:: max_limit Max Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: threshold Threshold **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: radius_override_enabled Radius override is enabled **type**\: int **range:** \-2147483648..2147483647 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.VlanId, self).__init__() self.yang_name = "vlan-id" self.yang_parent_name = "limit-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('max_limit', (YLeaf(YType.uint32, 'max-limit'), ['int'])), ('threshold', (YLeaf(YType.uint32, 'threshold'), ['int'])), ('radius_override_enabled', (YLeaf(YType.int32, 'radius-override-enabled'), ['int'])), ]) self.max_limit = None self.threshold = None self.radius_override_enabled = None self._segment_path = lambda: "vlan-id" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.VlanId, ['max_limit', 'threshold', 'radius_override_enabled'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig.VlanId']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.LimitConfig']['meta_info'] class Limits(_Entity_): """ PPPoE session limit information .. attribute:: limit PPPoE session limit state **type**\: list of :py:class:`Limit <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.Limits.Limit>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.Limits, self).__init__() self.yang_name = "limits" self.yang_parent_name = "bba-group" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("limit", ("limit", Pppoe.Nodes.Node.BbaGroups.BbaGroup.Limits.Limit))]) self._leafs = OrderedDict() self.limit = YList(self) self._segment_path = lambda: "limits" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.Limits, [], name, value) class Limit(_Entity_): """ PPPoE session limit state .. attribute:: interface_name Access Interface **type**\: str **pattern:** [a\-zA\-Z0\-9.\_/\-]+ **config**\: False .. attribute:: mac_address MAC address **type**\: str **pattern:** [0\-9a\-fA\-F]{2}(\:[0\-9a\-fA\-F]{2}){5} **config**\: False .. attribute:: iwf IWF flag **type**\: bool **config**\: False .. attribute:: circuit_id Circuit ID **type**\: str **pattern:** [\\w\\\-\\.\:,\_@#%$\\+=\\\|;]+ **config**\: False .. attribute:: remote_id Remote ID **type**\: str **pattern:** [\\w\\\-\\.\:,\_@#%$\\+=\\\|;]+ **config**\: False .. attribute:: outer_vlan_id Outer VLAN ID **type**\: int **range:** 0..4095 **config**\: False .. attribute:: inner_vlan_id Inner VLAN ID **type**\: int **range:** 0..4095 **config**\: False .. attribute:: state State **type**\: :py:class:`PppoeMaLimitState <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.PppoeMaLimitState>` **config**\: False .. attribute:: session_count Session Count **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: radius_override_set Overridden limit has been set **type**\: int **range:** \-2147483648..2147483647 **config**\: False .. attribute:: override_limit Overridden limit if set **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.Limits.Limit, self).__init__() self.yang_name = "limit" self.yang_parent_name = "limits" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('interface_name', (YLeaf(YType.str, 'interface-name'), ['str'])), ('mac_address', (YLeaf(YType.str, 'mac-address'), ['str'])), ('iwf', (YLeaf(YType.boolean, 'iwf'), ['bool'])), ('circuit_id', (YLeaf(YType.str, 'circuit-id'), ['str'])), ('remote_id', (YLeaf(YType.str, 'remote-id'), ['str'])), ('outer_vlan_id', (YLeaf(YType.uint32, 'outer-vlan-id'), ['int'])), ('inner_vlan_id', (YLeaf(YType.uint32, 'inner-vlan-id'), ['int'])), ('state', (YLeaf(YType.enumeration, 'state'), [('ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper', 'PppoeMaLimitState', '')])), ('session_count', (YLeaf(YType.uint32, 'session-count'), ['int'])), ('radius_override_set', (YLeaf(YType.int32, 'radius-override-set'), ['int'])), ('override_limit', (YLeaf(YType.uint32, 'override-limit'), ['int'])), ]) self.interface_name = None self.mac_address = None self.iwf = None self.circuit_id = None self.remote_id = None self.outer_vlan_id = None self.inner_vlan_id = None self.state = None self.session_count = None self.radius_override_set = None self.override_limit = None self._segment_path = lambda: "limit" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.Limits.Limit, ['interface_name', 'mac_address', 'iwf', 'circuit_id', 'remote_id', 'outer_vlan_id', 'inner_vlan_id', 'state', 'session_count', 'radius_override_set', 'override_limit'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.Limits.Limit']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.Limits']['meta_info'] class Throttles(_Entity_): """ PPPoE throttle information .. attribute:: throttle PPPoE session throttle state **type**\: list of :py:class:`Throttle <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.Throttles.Throttle>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.Throttles, self).__init__() self.yang_name = "throttles" self.yang_parent_name = "bba-group" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("throttle", ("throttle", Pppoe.Nodes.Node.BbaGroups.BbaGroup.Throttles.Throttle))]) self._leafs = OrderedDict() self.throttle = YList(self) self._segment_path = lambda: "throttles" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.Throttles, [], name, value) class Throttle(_Entity_): """ PPPoE session throttle state .. attribute:: interface_name Access Interface **type**\: str **pattern:** [a\-zA\-Z0\-9.\_/\-]+ **config**\: False .. attribute:: mac_address MAC address **type**\: str **pattern:** [0\-9a\-fA\-F]{2}(\:[0\-9a\-fA\-F]{2}){5} **config**\: False .. attribute:: iwf IWF flag **type**\: bool **config**\: False .. attribute:: circuit_id Circuit ID **type**\: str **pattern:** [\\w\\\-\\.\:,\_@#%$\\+=\\\|;]+ **config**\: False .. attribute:: remote_id Remote ID **type**\: str **pattern:** [\\w\\\-\\.\:,\_@#%$\\+=\\\|;]+ **config**\: False .. attribute:: outer_vlan_id Outer VLAN ID **type**\: int **range:** 0..4095 **config**\: False .. attribute:: inner_vlan_id Inner VLAN ID **type**\: int **range:** 0..4095 **config**\: False .. attribute:: state State **type**\: :py:class:`PppoeMaThrottleState <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.PppoeMaThrottleState>` **config**\: False .. attribute:: time_left Time left in seconds **type**\: int **range:** 0..4294967295 **config**\: False **units**\: second .. attribute:: since_reset Number of seconds since counters reset **type**\: int **range:** 0..4294967295 **config**\: False **units**\: second .. attribute:: padi_count PADI Count **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: padr_count PADR Count **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.Throttles.Throttle, self).__init__() self.yang_name = "throttle" self.yang_parent_name = "throttles" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('interface_name', (YLeaf(YType.str, 'interface-name'), ['str'])), ('mac_address', (YLeaf(YType.str, 'mac-address'), ['str'])), ('iwf', (YLeaf(YType.boolean, 'iwf'), ['bool'])), ('circuit_id', (YLeaf(YType.str, 'circuit-id'), ['str'])), ('remote_id', (YLeaf(YType.str, 'remote-id'), ['str'])), ('outer_vlan_id', (YLeaf(YType.uint32, 'outer-vlan-id'), ['int'])), ('inner_vlan_id', (YLeaf(YType.uint32, 'inner-vlan-id'), ['int'])), ('state', (YLeaf(YType.enumeration, 'state'), [('ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper', 'PppoeMaThrottleState', '')])), ('time_left', (YLeaf(YType.uint32, 'time-left'), ['int'])), ('since_reset', (YLeaf(YType.uint32, 'since-reset'), ['int'])), ('padi_count', (YLeaf(YType.uint32, 'padi-count'), ['int'])), ('padr_count', (YLeaf(YType.uint32, 'padr-count'), ['int'])), ]) self.interface_name = None self.mac_address = None self.iwf = None self.circuit_id = None self.remote_id = None self.outer_vlan_id = None self.inner_vlan_id = None self.state = None self.time_left = None self.since_reset = None self.padi_count = None self.padr_count = None self._segment_path = lambda: "throttle" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.Throttles.Throttle, ['interface_name', 'mac_address', 'iwf', 'circuit_id', 'remote_id', 'outer_vlan_id', 'inner_vlan_id', 'state', 'time_left', 'since_reset', 'padi_count', 'padr_count'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.Throttles.Throttle']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.Throttles']['meta_info'] class ThrottleConfig(_Entity_): """ BBA\-Group throttle configuration information .. attribute:: mac MAC **type**\: :py:class:`Mac <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.Mac>` **config**\: False .. attribute:: mac_access_interface MAC Access Interface **type**\: :py:class:`MacAccessInterface <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.MacAccessInterface>` **config**\: False .. attribute:: mac_iwf_access_interface MAC IWF Access Interface **type**\: :py:class:`MacIwfAccessInterface <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.MacIwfAccessInterface>` **config**\: False .. attribute:: circuit_id Circuit ID **type**\: :py:class:`CircuitId <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.CircuitId>` **config**\: False .. attribute:: remote_id Remote ID **type**\: :py:class:`RemoteId <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.RemoteId>` **config**\: False .. attribute:: circuit_id_and_remote_id Circuit ID and Remote ID **type**\: :py:class:`CircuitIdAndRemoteId <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.CircuitIdAndRemoteId>` **config**\: False .. attribute:: outer_vlan_id Outer VLAN ID **type**\: :py:class:`OuterVlanId <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.OuterVlanId>` **config**\: False .. attribute:: inner_vlan_id Inner VLAN ID **type**\: :py:class:`InnerVlanId <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.InnerVlanId>` **config**\: False .. attribute:: vlan_id VLAN ID **type**\: :py:class:`VlanId <ydk.models.cisco_ios_xr.Cisco_IOS_XR_subscriber_pppoe_ma_oper.Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.VlanId>` **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig, self).__init__() self.yang_name = "throttle-config" self.yang_parent_name = "bba-group" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("mac", ("mac", Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.Mac)), ("mac-access-interface", ("mac_access_interface", Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.MacAccessInterface)), ("mac-iwf-access-interface", ("mac_iwf_access_interface", Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.MacIwfAccessInterface)), ("circuit-id", ("circuit_id", Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.CircuitId)), ("remote-id", ("remote_id", Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.RemoteId)), ("circuit-id-and-remote-id", ("circuit_id_and_remote_id", Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.CircuitIdAndRemoteId)), ("outer-vlan-id", ("outer_vlan_id", Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.OuterVlanId)), ("inner-vlan-id", ("inner_vlan_id", Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.InnerVlanId)), ("vlan-id", ("vlan_id", Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.VlanId))]) self._leafs = OrderedDict() self.mac = Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.Mac() self.mac.parent = self self._children_name_map["mac"] = "mac" self.mac_access_interface = Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.MacAccessInterface() self.mac_access_interface.parent = self self._children_name_map["mac_access_interface"] = "mac-access-interface" self.mac_iwf_access_interface = Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.MacIwfAccessInterface() self.mac_iwf_access_interface.parent = self self._children_name_map["mac_iwf_access_interface"] = "mac-iwf-access-interface" self.circuit_id = Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.CircuitId() self.circuit_id.parent = self self._children_name_map["circuit_id"] = "circuit-id" self.remote_id = Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.RemoteId() self.remote_id.parent = self self._children_name_map["remote_id"] = "remote-id" self.circuit_id_and_remote_id = Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.CircuitIdAndRemoteId() self.circuit_id_and_remote_id.parent = self self._children_name_map["circuit_id_and_remote_id"] = "circuit-id-and-remote-id" self.outer_vlan_id = Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.OuterVlanId() self.outer_vlan_id.parent = self self._children_name_map["outer_vlan_id"] = "outer-vlan-id" self.inner_vlan_id = Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.InnerVlanId() self.inner_vlan_id.parent = self self._children_name_map["inner_vlan_id"] = "inner-vlan-id" self.vlan_id = Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.VlanId() self.vlan_id.parent = self self._children_name_map["vlan_id"] = "vlan-id" self._segment_path = lambda: "throttle-config" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig, [], name, value) class Mac(_Entity_): """ MAC .. attribute:: limit Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: request_period Request Period **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: blocking_period Blocking Period **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.Mac, self).__init__() self.yang_name = "mac" self.yang_parent_name = "throttle-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('limit', (YLeaf(YType.uint32, 'limit'), ['int'])), ('request_period', (YLeaf(YType.uint32, 'request-period'), ['int'])), ('blocking_period', (YLeaf(YType.uint32, 'blocking-period'), ['int'])), ]) self.limit = None self.request_period = None self.blocking_period = None self._segment_path = lambda: "mac" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.Mac, ['limit', 'request_period', 'blocking_period'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.Mac']['meta_info'] class MacAccessInterface(_Entity_): """ MAC Access Interface .. attribute:: limit Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: request_period Request Period **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: blocking_period Blocking Period **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.MacAccessInterface, self).__init__() self.yang_name = "mac-access-interface" self.yang_parent_name = "throttle-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('limit', (YLeaf(YType.uint32, 'limit'), ['int'])), ('request_period', (YLeaf(YType.uint32, 'request-period'), ['int'])), ('blocking_period', (YLeaf(YType.uint32, 'blocking-period'), ['int'])), ]) self.limit = None self.request_period = None self.blocking_period = None self._segment_path = lambda: "mac-access-interface" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.MacAccessInterface, ['limit', 'request_period', 'blocking_period'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.MacAccessInterface']['meta_info'] class MacIwfAccessInterface(_Entity_): """ MAC IWF Access Interface .. attribute:: limit Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: request_period Request Period **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: blocking_period Blocking Period **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.MacIwfAccessInterface, self).__init__() self.yang_name = "mac-iwf-access-interface" self.yang_parent_name = "throttle-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('limit', (YLeaf(YType.uint32, 'limit'), ['int'])), ('request_period', (YLeaf(YType.uint32, 'request-period'), ['int'])), ('blocking_period', (YLeaf(YType.uint32, 'blocking-period'), ['int'])), ]) self.limit = None self.request_period = None self.blocking_period = None self._segment_path = lambda: "mac-iwf-access-interface" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.MacIwfAccessInterface, ['limit', 'request_period', 'blocking_period'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.MacIwfAccessInterface']['meta_info'] class CircuitId(_Entity_): """ Circuit ID .. attribute:: limit Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: request_period Request Period **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: blocking_period Blocking Period **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.CircuitId, self).__init__() self.yang_name = "circuit-id" self.yang_parent_name = "throttle-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('limit', (YLeaf(YType.uint32, 'limit'), ['int'])), ('request_period', (YLeaf(YType.uint32, 'request-period'), ['int'])), ('blocking_period', (YLeaf(YType.uint32, 'blocking-period'), ['int'])), ]) self.limit = None self.request_period = None self.blocking_period = None self._segment_path = lambda: "circuit-id" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.CircuitId, ['limit', 'request_period', 'blocking_period'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.CircuitId']['meta_info'] class RemoteId(_Entity_): """ Remote ID .. attribute:: limit Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: request_period Request Period **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: blocking_period Blocking Period **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.RemoteId, self).__init__() self.yang_name = "remote-id" self.yang_parent_name = "throttle-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('limit', (YLeaf(YType.uint32, 'limit'), ['int'])), ('request_period', (YLeaf(YType.uint32, 'request-period'), ['int'])), ('blocking_period', (YLeaf(YType.uint32, 'blocking-period'), ['int'])), ]) self.limit = None self.request_period = None self.blocking_period = None self._segment_path = lambda: "remote-id" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.RemoteId, ['limit', 'request_period', 'blocking_period'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.RemoteId']['meta_info'] class CircuitIdAndRemoteId(_Entity_): """ Circuit ID and Remote ID .. attribute:: limit Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: request_period Request Period **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: blocking_period Blocking Period **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.CircuitIdAndRemoteId, self).__init__() self.yang_name = "circuit-id-and-remote-id" self.yang_parent_name = "throttle-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('limit', (YLeaf(YType.uint32, 'limit'), ['int'])), ('request_period', (YLeaf(YType.uint32, 'request-period'), ['int'])), ('blocking_period', (YLeaf(YType.uint32, 'blocking-period'), ['int'])), ]) self.limit = None self.request_period = None self.blocking_period = None self._segment_path = lambda: "circuit-id-and-remote-id" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.CircuitIdAndRemoteId, ['limit', 'request_period', 'blocking_period'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.CircuitIdAndRemoteId']['meta_info'] class OuterVlanId(_Entity_): """ Outer VLAN ID .. attribute:: limit Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: request_period Request Period **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: blocking_period Blocking Period **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.OuterVlanId, self).__init__() self.yang_name = "outer-vlan-id" self.yang_parent_name = "throttle-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('limit', (YLeaf(YType.uint32, 'limit'), ['int'])), ('request_period', (YLeaf(YType.uint32, 'request-period'), ['int'])), ('blocking_period', (YLeaf(YType.uint32, 'blocking-period'), ['int'])), ]) self.limit = None self.request_period = None self.blocking_period = None self._segment_path = lambda: "outer-vlan-id" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.OuterVlanId, ['limit', 'request_period', 'blocking_period'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.OuterVlanId']['meta_info'] class InnerVlanId(_Entity_): """ Inner VLAN ID .. attribute:: limit Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: request_period Request Period **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: blocking_period Blocking Period **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.InnerVlanId, self).__init__() self.yang_name = "inner-vlan-id" self.yang_parent_name = "throttle-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('limit', (YLeaf(YType.uint32, 'limit'), ['int'])), ('request_period', (YLeaf(YType.uint32, 'request-period'), ['int'])), ('blocking_period', (YLeaf(YType.uint32, 'blocking-period'), ['int'])), ]) self.limit = None self.request_period = None self.blocking_period = None self._segment_path = lambda: "inner-vlan-id" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.InnerVlanId, ['limit', 'request_period', 'blocking_period'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.InnerVlanId']['meta_info'] class VlanId(_Entity_): """ VLAN ID .. attribute:: limit Limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: request_period Request Period **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: blocking_period Blocking Period **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.VlanId, self).__init__() self.yang_name = "vlan-id" self.yang_parent_name = "throttle-config" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('limit', (YLeaf(YType.uint32, 'limit'), ['int'])), ('request_period', (YLeaf(YType.uint32, 'request-period'), ['int'])), ('blocking_period', (YLeaf(YType.uint32, 'blocking-period'), ['int'])), ]) self.limit = None self.request_period = None self.blocking_period = None self._segment_path = lambda: "vlan-id" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.VlanId, ['limit', 'request_period', 'blocking_period'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig.VlanId']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup.ThrottleConfig']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups.BbaGroup']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.BbaGroups']['meta_info'] class SummaryTotal(_Entity_): """ PPPoE statistics for a given node .. attribute:: ready_access_interfaces Ready Access Interface Count **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: not_ready_access_interfaces Not Ready Access Interface Count **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: complete_sessions Complete Session Count **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: incomplete_sessions Incomplete Session Count **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: flow_control_limit Flow Control credit limit **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: flow_control_in_flight_sessions Flow Control In\-Flight Count **type**\: int **range:** 0..4294967295 **config**\: False .. attribute:: flow_control_dropped_sessions Flow Control Drop Count **type**\: int **range:** 0..18446744073709551615 **config**\: False .. attribute:: flow_control_disconnected_sessions Flow Control Disconnected Count **type**\: int **range:** 0..18446744073709551615 **config**\: False .. attribute:: flow_control_successful_sessions Flow Control Success Count, sessions completing call flow **type**\: int **range:** 0..18446744073709551615 **config**\: False .. attribute:: pppoema_subscriber_infra_flow_control PPPoEMASubscriberInfraFlowControl **type**\: int **range:** 0..4294967295 **config**\: False """ _prefix = 'subscriber-pppoe-ma-oper' _revision = '2019-10-07' def __init__(self): if sys.version_info > (3,): super().__init__() else: super(Pppoe.Nodes.Node.SummaryTotal, self).__init__() self.yang_name = "summary-total" self.yang_parent_name = "node" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('ready_access_interfaces', (YLeaf(YType.uint32, 'ready-access-interfaces'), ['int'])), ('not_ready_access_interfaces', (YLeaf(YType.uint32, 'not-ready-access-interfaces'), ['int'])), ('complete_sessions', (YLeaf(YType.uint32, 'complete-sessions'), ['int'])), ('incomplete_sessions', (YLeaf(YType.uint32, 'incomplete-sessions'), ['int'])), ('flow_control_limit', (YLeaf(YType.uint32, 'flow-control-limit'), ['int'])), ('flow_control_in_flight_sessions', (YLeaf(YType.uint32, 'flow-control-in-flight-sessions'), ['int'])), ('flow_control_dropped_sessions', (YLeaf(YType.uint64, 'flow-control-dropped-sessions'), ['int'])), ('flow_control_disconnected_sessions', (YLeaf(YType.uint64, 'flow-control-disconnected-sessions'), ['int'])), ('flow_control_successful_sessions', (YLeaf(YType.uint64, 'flow-control-successful-sessions'), ['int'])), ('pppoema_subscriber_infra_flow_control', (YLeaf(YType.uint32, 'pppoema-subscriber-infra-flow-control'), ['int'])), ]) self.ready_access_interfaces = None self.not_ready_access_interfaces = None self.complete_sessions = None self.incomplete_sessions = None self.flow_control_limit = None self.flow_control_in_flight_sessions = None self.flow_control_dropped_sessions = None self.flow_control_disconnected_sessions = None self.flow_control_successful_sessions = None self.pppoema_subscriber_infra_flow_control = None self._segment_path = lambda: "summary-total" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Pppoe.Nodes.Node.SummaryTotal, ['ready_access_interfaces', 'not_ready_access_interfaces', 'complete_sessions', 'incomplete_sessions', 'flow_control_limit', 'flow_control_in_flight_sessions', 'flow_control_dropped_sessions', 'flow_control_disconnected_sessions', 'flow_control_successful_sessions', 'pppoema_subscriber_infra_flow_control'], name, value) @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node.SummaryTotal']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes.Node']['meta_info'] @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe.Nodes']['meta_info'] def clone_ptr(self): self._top_entity = Pppoe() return self._top_entity @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_subscriber_pppoe_ma_oper as meta return meta._meta_table['Pppoe']['meta_info']

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70c71f6a2a9fedcf44a326e3f8807e55775d225f

11,048

py

Python

http_test.py

is-already-taken/py-jira-cli

1f34cad61f8c20064024d7755d2ff8c56ae94a2a

[ "MIT" ]

null

http_test.py

is-already-taken/py-jira-cli

1f34cad61f8c20064024d7755d2ff8c56ae94a2a

[ "MIT" ]

null

http_test.py

is-already-taken/py-jira-cli

1f34cad61f8c20064024d7755d2ff8c56ae94a2a

[ "MIT" ]

null

import unittest from mock import patch, Mock, MagicMock import fudge from fudge.inspector import arg import pycurl import http import mox class HttpTest(unittest.TestCase): @fudge.patch("pycurl.Curl") @fudge.patch("StringIO.StringIO") def test_method_post(self, Curl_Mock, StringIO_Mock): (StringIO_Mock.expects_call() .returns_fake() .provides("write") .provides("getvalue").returns("RESPONSE DATA")) mock = (Curl_Mock.expects_call() .returns_fake()) # the method under test will call a method that has # been passed via setopt(pycurl.WRITEFUNCTION, ...) # Intercept the call to define cookies that the # server would send def get_header_fn(option, value): if option == pycurl.HEADERFUNCTION: value("Set-Cookie: new-cookie=1") mock.expects('setopt').with_args(pycurl.VERBOSE, 0) mock.expects('setopt').with_args(pycurl.URL, "http://host/path") mock.expects('setopt').with_args(pycurl.POST, 1) mock.expects('setopt').with_args(pycurl.POSTFIELDSIZE, len("REQUEST DATA")) mock.expects('setopt').with_args(pycurl.POSTFIELDS, "REQUEST DATA") mock.expects('setopt').with_args(pycurl.HTTPHEADER, ["Hdr-A: 1", "Hdr-B: 2"]) mock.expects('setopt').with_args(pycurl.COOKIE, "") mock.provides('setopt').calls(get_header_fn) mock.expects('setopt').with_args(pycurl.WRITEFUNCTION, arg.any()) mock.expects('perform') mock.has_attr(RESPONSE_CODE="RESPONSE_CODE_MOCK") mock.provides('getinfo').calls(lambda _: 200) h = http.Http() (status, buf, cookies) = h.method("POST", "http://host/path", "REQUEST DATA", headers=["Hdr-A: 1", "Hdr-B: 2"]) assert status == 200 assert buf == "RESPONSE DATA" assert cookies == ["new-cookie=1"] @fudge.patch("pycurl.Curl") @fudge.patch("StringIO.StringIO") def test_method_post_dict_data(self, Curl_Mock, StringIO_Mock): (StringIO_Mock.expects_call() .returns_fake() .provides("write") .provides("getvalue").returns("RESPONSE DATA")) mock = (Curl_Mock.expects_call() .returns_fake()) # the method under test will call a method that has # been passed via setopt(pycurl.WRITEFUNCTION, ...) # Intercept the call to define cookies that the # server would send def get_header_fn(option, value): if option == pycurl.HEADERFUNCTION: value("Set-Cookie: new-cookie=1") mock.expects('setopt').with_args(pycurl.VERBOSE, 0) mock.expects('setopt').with_args(pycurl.URL, "http://host/path") mock.expects('setopt').with_args(pycurl.POST, 1) mock.expects('setopt').with_args(pycurl.POSTFIELDSIZE, len("data1=A&data2=B")) mock.expects('setopt').with_args(pycurl.POSTFIELDS, "data1=A&data2=B") mock.expects('setopt').with_args(pycurl.HTTPHEADER, [ "Hdr-A: 1", "Hdr-B: 2", "Content-Type: application/x-www-form-urlencoded; charset=UTF-8" ]) mock.expects('setopt').with_args(pycurl.COOKIE, "") mock.provides('setopt').calls(get_header_fn) mock.expects('setopt').with_args(pycurl.WRITEFUNCTION, arg.any()) mock.expects('perform') mock.has_attr(RESPONSE_CODE="RESPONSE_CODE_MOCK") mock.provides('getinfo').calls(lambda _: 200) h = http.Http() (status, buf, cookies) = h.method("POST", "http://host/path", {"data1": "A", "data2": "B"}, headers=["Hdr-A: 1", "Hdr-B: 2"]) assert status == 200 assert buf == "RESPONSE DATA" assert cookies == ["new-cookie=1"] @fudge.patch("pycurl.Curl") @fudge.patch("StringIO.StringIO") def test_method_post_no_data(self, Curl_Mock, StringIO_Mock): mock = (Curl_Mock.expects_call() .returns_fake()) mock.expects('setopt').with_args(pycurl.VERBOSE, 0) mock.expects('setopt').with_args(pycurl.URL, "http://host/path") h = http.Http() self.assertRaises(Exception, h.method, "POST", None) @fudge.patch("pycurl.Curl") @fudge.patch("StringIO.StringIO") def test_method_put(self, Curl_Mock, StringIO_Mock): (StringIO_Mock.expects_call() .returns_fake() .provides("write") .provides("getvalue").returns("RESPONSE DATA")) mock = (Curl_Mock.expects_call() .returns_fake()) # the method under test will call a method that has # been passed via setopt(pycurl.WRITEFUNCTION, ...) # Intercept the call to define cookies that the # server would send def get_header_fn(option, value): if option == pycurl.HEADERFUNCTION: value("Set-Cookie: new-cookie=1") mock.expects('setopt').with_args(pycurl.VERBOSE, 0) mock.expects('setopt').with_args(pycurl.URL, "http://host/path") mock.expects('setopt').with_args(pycurl.CUSTOMREQUEST, "PUT") mock.expects('setopt').with_args(pycurl.POSTFIELDSIZE, len("REQUEST DATA")) mock.expects('setopt').with_args(pycurl.POSTFIELDS, "REQUEST DATA") mock.expects('setopt').with_args(pycurl.HTTPHEADER, ["Hdr-A: 1", "Hdr-B: 2"]) mock.expects('setopt').with_args(pycurl.COOKIE, "") mock.provides('setopt').calls(get_header_fn) mock.expects('setopt').with_args(pycurl.WRITEFUNCTION, arg.any()) mock.expects('perform') mock.has_attr(RESPONSE_CODE="RESPONSE_CODE_MOCK") mock.provides('getinfo').calls(lambda _: 200) h = http.Http() (status, buf, cookies) = h.method("PUT", "http://host/path", "REQUEST DATA", headers=["Hdr-A: 1", "Hdr-B: 2"]) assert status == 200 assert buf == "RESPONSE DATA" assert cookies == ["new-cookie=1"] @fudge.patch("pycurl.Curl") @fudge.patch("StringIO.StringIO") def test_method_put_dict_data(self, Curl_Mock, StringIO_Mock): (StringIO_Mock.expects_call() .returns_fake() .provides("write") .provides("getvalue").returns("RESPONSE DATA")) mock = (Curl_Mock.expects_call() .returns_fake()) # the method under test will call a method that has # been passed via setopt(pycurl.WRITEFUNCTION, ...) # Intercept the call to define cookies that the # server would send def get_header_fn(option, value): if option == pycurl.HEADERFUNCTION: value("Set-Cookie: new-cookie=1") mock.expects('setopt').with_args(pycurl.VERBOSE, 0) mock.expects('setopt').with_args(pycurl.URL, "http://host/path") mock.expects('setopt').with_args(pycurl.CUSTOMREQUEST, "PUT") mock.expects('setopt').with_args(pycurl.POSTFIELDSIZE, len("data1=A&data2=B")) mock.expects('setopt').with_args(pycurl.POSTFIELDS, "data1=A&data2=B") mock.expects('setopt').with_args(pycurl.HTTPHEADER, [ "Hdr-A: 1", "Hdr-B: 2", "Content-Type: application/x-www-form-urlencoded; charset=UTF-8" ]) mock.expects('setopt').with_args(pycurl.COOKIE, "") mock.provides('setopt').calls(get_header_fn) mock.expects('setopt').with_args(pycurl.WRITEFUNCTION, arg.any()) mock.expects('perform') mock.has_attr(RESPONSE_CODE="RESPONSE_CODE_MOCK") mock.provides('getinfo').calls(lambda _: 200) h = http.Http() (status, buf, cookies) = h.method("PUT", "http://host/path", {"data1": "A", "data2": "B"}, headers=["Hdr-A: 1", "Hdr-B: 2"]) assert status == 200 assert buf == "RESPONSE DATA" assert cookies == ["new-cookie=1"] @fudge.patch("pycurl.Curl") @fudge.patch("StringIO.StringIO") def test_method_post_no_data(self, Curl_Mock, StringIO_Mock): mock = (Curl_Mock.expects_call() .returns_fake()) mock.expects('setopt').with_args(pycurl.VERBOSE, 0) mock.expects('setopt').with_args(pycurl.URL, "http://host/path") h = http.Http() self.assertRaises(Exception, h.method, "PUT", None) @fudge.patch("pycurl.Curl") @fudge.patch("StringIO.StringIO") def test_method_get(self, Curl_Mock, StringIO_Mock): (StringIO_Mock.expects_call() .returns_fake() .provides("write") .provides("getvalue").returns("RESPONSE DATA")) mock = (Curl_Mock.expects_call() .returns_fake()) # the method under test will call a method that has # been passed via setopt(pycurl.WRITEFUNCTION, ...) # Intercept the call to define cookies that the # server would send def get_header_fn(option, value): if option == pycurl.HEADERFUNCTION: value("Set-Cookie: new-cookie=1") mock.expects('setopt').with_args(pycurl.VERBOSE, 0) mock.expects('setopt').with_args(pycurl.URL, "http://host/path") mock.expects('setopt').with_args(pycurl.HTTPGET, 1) mock.expects('setopt').with_args(pycurl.HTTPHEADER, [ "Hdr-A: 1", "Hdr-B: 2" ]) mock.expects('setopt').with_args(pycurl.COOKIE, "") mock.provides('setopt').calls(get_header_fn) mock.expects('setopt').with_args(pycurl.WRITEFUNCTION, arg.any()) mock.expects('perform') mock.has_attr(RESPONSE_CODE="RESPONSE_CODE_MOCK") mock.provides('getinfo').calls(lambda _: 200) h = http.Http() (status, buf, cookies) = h.method("GET", "http://host/path", headers=["Hdr-A: 1", "Hdr-B: 2"]) assert status == 200 assert buf == "RESPONSE DATA" assert cookies == ["new-cookie=1"] @fudge.patch("pycurl.Curl") @fudge.patch("StringIO.StringIO") def test_method_raise_http_exception_on_perform_fail(self, Curl_Mock, StringIO_Mock): (StringIO_Mock.expects_call() .returns_fake() .provides("write") .provides("getvalue").returns("RESPONSE DATA")) mock = (Curl_Mock.expects_call() .returns_fake()) def raise_perform_error(): raise pycurl.error(42, "PyCURL Exception") mock.provides('setopt') mock.provides('perform').calls(raise_perform_error) mock.has_attr(RESPONSE_CODE="RESPONSE_CODE_MOCK") h = http.Http() self.assertRaises(http.HttpError, h.method, "GET", None) @fudge.patch("pycurl.Curl") @fudge.patch("StringIO.StringIO") def test_method_raise_original_exception_on_perform_fail(self, Curl_Mock, StringIO_Mock): (StringIO_Mock.expects_call() .returns_fake() .provides("write") .provides("getvalue").returns("RESPONSE DATA")) mock = (Curl_Mock.expects_call() .returns_fake()) class CustomException(Exception): def __init__(self, msg): pass def raise_perform_error(): raise CustomException("Custom exception") mock.provides('setopt') mock.provides('perform').calls(raise_perform_error) mock.has_attr(RESPONSE_CODE="RESPONSE_CODE_MOCK") h = http.Http() self.assertRaises(CustomException, h.method, "GET", None) def setUp(self): self.mox = mox.Mox() def tearDown(self): self.mox.UnsetStubs() def test_get(self): h = http.Http() self.mox.StubOutWithMock(h, "method") h.method("GET", "http://host/path", None, ["Hdr-A: 1"], ["cookie=abc"]).AndReturn( (200, "Response", ["set-cookie-a=1", "set-cookie-b=2"]) ) self.mox.ReplayAll() h.get("http://host/path", ["Hdr-A: 1"], ["cookie=abc"]) self.mox.VerifyAll() def test_post(self): h = http.Http() self.mox.StubOutWithMock(h, "method") h.method("POST", "http://host/path", "DATA", ["Hdr-A: 1"], ["cookie=abc"]).AndReturn( (200, "Response", ["set-cookie-a=1", "set-cookie-b=2"]) ) self.mox.ReplayAll() h.post("http://host/path", "DATA", ["Hdr-A: 1"], ["cookie=abc"]) self.mox.VerifyAll() def test_put(self): h = http.Http() self.mox.StubOutWithMock(h, "method") h.method("PUT", "http://host/path", "DATA", ["Hdr-A: 1"], ["cookie=abc"]).AndReturn( (200, "Response", ["set-cookie-a=1", "set-cookie-b=2"]) ) self.mox.ReplayAll() h.put("http://host/path", "DATA", ["Hdr-A: 1"], ["cookie=abc"]) self.mox.VerifyAll()

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0.694334

1,538

11,048

4.849805

0.083225

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0.095723

0.118246

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0.004167

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0

null

0

1

0

1

0

null

0

7

cb106380db181ede1cf45d142b895ff39406132c

3,763

py

Python

mitorch/models/darknet.py

shonohs/shtorch_models

afc20dbc9fd272a74ca08ec460401721b1476e72

[ "MIT" ]

3

2020-06-26T11:30:33.000Z

2021-01-23T07:42:25.000Z

mitorch/models/darknet.py

shonohs/shtorch_models

afc20dbc9fd272a74ca08ec460401721b1476e72

[ "MIT" ]

null

mitorch/models/darknet.py

shonohs/shtorch_models

afc20dbc9fd272a74ca08ec460401721b1476e72

[ "MIT" ]

2

2020-04-22T16:19:28.000Z

2020-06-11T09:06:37.000Z

""" YOLO9000: Better, Faster, Stronger (https://arxiv.org/pdf/1612.08242) """ import collections import torch from .model import Model from .modules import Conv2dAct class Darknet19(Model): def __init__(self): super().__init__(1024) self.features = torch.nn.Sequential(collections.OrderedDict([ ('conv0', Conv2dAct(3, 32, kernel_size=3, padding=1, activation='leaky_relu')), ('pool0', torch.nn.MaxPool2d(kernel_size=2, stride=2)), ('conv1', Conv2dAct(32, 64, kernel_size=3, padding=1, activation='leaky_relu')), ('pool1', torch.nn.MaxPool2d(kernel_size=2, stride=2)), ('conv2', Conv2dAct(64, 128, kernel_size=3, padding=1, activation='leaky_relu')), ('conv3', Conv2dAct(128, 64, kernel_size=1, activation='leaky_relu')), ('conv4', Conv2dAct(64, 128, kernel_size=3, padding=1, activation='leaky_relu')), ('pool2', torch.nn.MaxPool2d(kernel_size=2, stride=2)), ('conv5', Conv2dAct(128, 256, kernel_size=3, padding=1, activation='leaky_relu')), ('conv6', Conv2dAct(256, 128, kernel_size=1, activation='leaky_relu')), ('conv7', Conv2dAct(128, 256, kernel_size=3, padding=1, activation='leaky_relu')), ('pool3', torch.nn.MaxPool2d(kernel_size=2, stride=2)), ('conv8', Conv2dAct(256, 512, kernel_size=3, padding=1, activation='leaky_relu')), ('conv9', Conv2dAct(512, 256, kernel_size=1, activation='leaky_relu')), ('conv10', Conv2dAct(256, 512, kernel_size=3, padding=1, activation='leaky_relu')), ('conv11', Conv2dAct(512, 256, kernel_size=1, activation='leaky_relu')), ('conv12', Conv2dAct(256, 512, kernel_size=3, padding=1, activation='leaky_relu')), ('pool4', torch.nn.MaxPool2d(kernel_size=2, stride=2)), ('conv13', Conv2dAct(512, 1024, kernel_size=3, padding=1, activation='leaky_relu')), ('conv14', Conv2dAct(1024, 512, kernel_size=1, activation='leaky_relu')), ('conv15', Conv2dAct(512, 1024, kernel_size=3, padding=1, activation='leaky_relu')), ('conv16', Conv2dAct(1024, 512, kernel_size=1, activation='leaky_relu')), ('conv17', Conv2dAct(512, 1024, kernel_size=3, padding=1, activation='leaky_relu')), ('pool5', torch.nn.AdaptiveAvgPool2d(1)), ('flatten', torch.nn.Flatten())])) class TinyDarknet(Model): """Base model for TinyYoloV2""" def __init__(self): super().__init__(1024) self.features = torch.nn.Sequential(collections.OrderedDict([ ('conv0', Conv2dAct(3, 16, kernel_size=3, padding=1, activation='leaky_relu')), ('pool0', torch.nn.MaxPool2d(kernel_size=2, stride=2)), ('conv1', Conv2dAct(16, 32, kernel_size=3, padding=1, activation='leaky_relu')), ('pool1', torch.nn.MaxPool2d(kernel_size=2, stride=2)), ('conv2', Conv2dAct(32, 64, kernel_size=3, padding=1, activation='leaky_relu')), ('pool2', torch.nn.MaxPool2d(kernel_size=2, stride=2)), ('conv3', Conv2dAct(64, 128, kernel_size=3, padding=1, activation='leaky_relu')), ('pool3', torch.nn.MaxPool2d(kernel_size=2, stride=2)), ('conv4', Conv2dAct(128, 256, kernel_size=3, padding=1, activation='leaky_relu')), ('pool4', torch.nn.MaxPool2d(kernel_size=2, stride=2)), ('conv5', Conv2dAct(256, 512, kernel_size=3, padding=1, activation='leaky_relu')), ('pool5', torch.nn.MaxPool2d(kernel_size=2, stride=1)), ('conv6', Conv2dAct(512, 1024, kernel_size=3, padding=1, activation='leaky_relu')), ('pool6', torch.nn.AdaptiveAvgPool2d(1)), ('flatten', torch.nn.Flatten())]))

61.688525

96

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0.164147

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null

0

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null

0

7

cba37bc88e0f9cb4d890049b9e44ae109ad6ce85

20,278

py

Python

integration/python/integration_api/api/kms_api.py

sumit4-ttn/SDK

b3ae385e5415e47ac70abd0b3fdeeaeee9aa7cff

[ "Apache-2.0" ]

null

integration/python/integration_api/api/kms_api.py

sumit4-ttn/SDK

b3ae385e5415e47ac70abd0b3fdeeaeee9aa7cff

[ "Apache-2.0" ]

null

integration/python/integration_api/api/kms_api.py

sumit4-ttn/SDK

b3ae385e5415e47ac70abd0b3fdeeaeee9aa7cff

[ "Apache-2.0" ]

null

# coding: utf-8 """ Hydrogen Integration API The Hydrogen Integration API # noqa: E501 OpenAPI spec version: 1.2.1 Contact: info@hydrogenplatform.com Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from integration_api.api_client import ApiClient class KMSApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def create_kms_using_post(self, kms_config, **kwargs): # noqa: E501 """Create an secret key # noqa: E501 Create an secret key. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_kms_using_post(kms_config, async_req=True) >>> result = thread.get() :param async_req bool :param KmsConfig kms_config: kmsConfig (required) :return: KmsConfig If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.create_kms_using_post_with_http_info(kms_config, **kwargs) # noqa: E501 else: (data) = self.create_kms_using_post_with_http_info(kms_config, **kwargs) # noqa: E501 return data def create_kms_using_post_with_http_info(self, kms_config, **kwargs): # noqa: E501 """Create an secret key # noqa: E501 Create an secret key. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_kms_using_post_with_http_info(kms_config, async_req=True) >>> result = thread.get() :param async_req bool :param KmsConfig kms_config: kmsConfig (required) :return: KmsConfig If the method is called asynchronously, returns the request thread. """ all_params = ['kms_config'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_kms_using_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'kms_config' is set if ('kms_config' not in params or params['kms_config'] is None): raise ValueError("Missing the required parameter `kms_config` when calling `create_kms_using_post`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'kms_config' in params: body_params = params['kms_config'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/kms', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='KmsConfig', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_kms_using_delete(self, kms_id, **kwargs): # noqa: E501 """Delete an secret key value # noqa: E501 Permanently delete an secret key value under a tenant. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_kms_using_delete(kms_id, async_req=True) >>> result = thread.get() :param async_req bool :param str kms_id: KMS Id (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_kms_using_delete_with_http_info(kms_id, **kwargs) # noqa: E501 else: (data) = self.delete_kms_using_delete_with_http_info(kms_id, **kwargs) # noqa: E501 return data def delete_kms_using_delete_with_http_info(self, kms_id, **kwargs): # noqa: E501 """Delete an secret key value # noqa: E501 Permanently delete an secret key value under a tenant. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_kms_using_delete_with_http_info(kms_id, async_req=True) >>> result = thread.get() :param async_req bool :param str kms_id: KMS Id (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['kms_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_kms_using_delete" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'kms_id' is set if ('kms_id' not in params or params['kms_id'] is None): raise ValueError("Missing the required parameter `kms_id` when calling `delete_kms_using_delete`") # noqa: E501 collection_formats = {} path_params = {} if 'kms_id' in params: path_params['kms_id'] = params['kms_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/kms/{kms_id}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_kms_all_using_get(self, **kwargs): # noqa: E501 """List all KMS Clients # noqa: E501 Get details for all clients registered with your firm. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_kms_all_using_get(async_req=True) >>> result = thread.get() :param async_req bool :param bool ascending: ascending :param str order_by: order_by :param int page: page :param int size: size :return: PageKmsConfig If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_kms_all_using_get_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_kms_all_using_get_with_http_info(**kwargs) # noqa: E501 return data def get_kms_all_using_get_with_http_info(self, **kwargs): # noqa: E501 """List all KMS Clients # noqa: E501 Get details for all clients registered with your firm. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_kms_all_using_get_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param bool ascending: ascending :param str order_by: order_by :param int page: page :param int size: size :return: PageKmsConfig If the method is called asynchronously, returns the request thread. """ all_params = ['ascending', 'order_by', 'page', 'size'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_kms_all_using_get" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'ascending' in params: query_params.append(('ascending', params['ascending'])) # noqa: E501 if 'order_by' in params: query_params.append(('order_by', params['order_by'])) # noqa: E501 if 'page' in params: query_params.append(('page', params['page'])) # noqa: E501 if 'size' in params: query_params.append(('size', params['size'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/kms', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PageKmsConfig', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_kms_using_get(self, kms_id, **kwargs): # noqa: E501 """Retrieve an secret key value # noqa: E501 Retrieve the information for a specific value associated with a Secret key. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_kms_using_get(kms_id, async_req=True) >>> result = thread.get() :param async_req bool :param str kms_id: KMS Id (required) :return: KmsConfig If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_kms_using_get_with_http_info(kms_id, **kwargs) # noqa: E501 else: (data) = self.get_kms_using_get_with_http_info(kms_id, **kwargs) # noqa: E501 return data def get_kms_using_get_with_http_info(self, kms_id, **kwargs): # noqa: E501 """Retrieve an secret key value # noqa: E501 Retrieve the information for a specific value associated with a Secret key. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_kms_using_get_with_http_info(kms_id, async_req=True) >>> result = thread.get() :param async_req bool :param str kms_id: KMS Id (required) :return: KmsConfig If the method is called asynchronously, returns the request thread. """ all_params = ['kms_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_kms_using_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'kms_id' is set if ('kms_id' not in params or params['kms_id'] is None): raise ValueError("Missing the required parameter `kms_id` when calling `get_kms_using_get`") # noqa: E501 collection_formats = {} path_params = {} if 'kms_id' in params: path_params['kms_id'] = params['kms_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/kms/{kms_id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='KmsConfig', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def update_kms_using_put(self, kms_config, kms_id, **kwargs): # noqa: E501 """Update an Key Value # noqa: E501 Update the information for an key value. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_kms_using_put(kms_config, kms_id, async_req=True) >>> result = thread.get() :param async_req bool :param KmsConfig kms_config: kmsConfig (required) :param str kms_id: kms_id (required) :return: KmsConfig If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.update_kms_using_put_with_http_info(kms_config, kms_id, **kwargs) # noqa: E501 else: (data) = self.update_kms_using_put_with_http_info(kms_config, kms_id, **kwargs) # noqa: E501 return data def update_kms_using_put_with_http_info(self, kms_config, kms_id, **kwargs): # noqa: E501 """Update an Key Value # noqa: E501 Update the information for an key value. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_kms_using_put_with_http_info(kms_config, kms_id, async_req=True) >>> result = thread.get() :param async_req bool :param KmsConfig kms_config: kmsConfig (required) :param str kms_id: kms_id (required) :return: KmsConfig If the method is called asynchronously, returns the request thread. """ all_params = ['kms_config', 'kms_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method update_kms_using_put" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'kms_config' is set if ('kms_config' not in params or params['kms_config'] is None): raise ValueError("Missing the required parameter `kms_config` when calling `update_kms_using_put`") # noqa: E501 # verify the required parameter 'kms_id' is set if ('kms_id' not in params or params['kms_id'] is None): raise ValueError("Missing the required parameter `kms_id` when calling `update_kms_using_put`") # noqa: E501 collection_formats = {} path_params = {} if 'kms_id' in params: path_params['kms_id'] = params['kms_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'kms_config' in params: body_params = params['kms_config'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/kms/{kms_id}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='KmsConfig', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

37.973783

126

0.606273

2,429

20,278

4.784273

0.070811

0.053007

0.024094

0.030978

0.93572

0.921177

0.912142

0.898115

0.886843

0.879787

0

0.017356

0.303876

20,278

533

127

38.045028

0.805894

0.329766

0

0.775801

1

0

0.174715

0.039066

0

1

0.039146

false

0

0.014235

0

0.11032

0

null

0

1

0

1

0

null

0

8

cbaaee0d302d117cdb6d9d75a88bdc9c72a41a76

37

py

Python

PTA/GPLT/L1-Python/052.py

cnsteven/online-judge

60ee841a97e2bc0dc9c7b23fe5daa186898ab8b7

[ "MIT" ]

1

2019-05-04T10:28:32.000Z

PTA/GPLT/L1-Python/052.py

cnsteven/online-judge

60ee841a97e2bc0dc9c7b23fe5daa186898ab8b7

[ "MIT" ]

null

PTA/GPLT/L1-Python/052.py

cnsteven/online-judge

60ee841a97e2bc0dc9c7b23fe5daa186898ab8b7

[ "MIT" ]

3

2020-12-31T04:36:38.000Z

2021-07-25T07:39:31.000Z

print("2018\nwo3 men2 yao4 ying2 !")

18.5

36

0.702703

6

37

4.333333

1

0

0.25

0.135135

37

1

37

0.5625

0

0.72973

0

1

0

true

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

7

1dd63ddd5437b84599364158b368a03e67d1f772

204

py

Python

updatesproducer/db/iupdates_repository.py

AppleteeYT/Iris

b60deb6575820253bad50b48b9b39023d6440fd4

[ "Apache-2.0" ]

null

updatesproducer/db/iupdates_repository.py

AppleteeYT/Iris

b60deb6575820253bad50b48b9b39023d6440fd4

[ "Apache-2.0" ]

null

updatesproducer/db/iupdates_repository.py

AppleteeYT/Iris

b60deb6575820253bad50b48b9b39023d6440fd4

[ "Apache-2.0" ]

null

from abc import ABC class IUpdatesRepository(ABC): def get_user_latest_update_time(self, user_id): pass def set_user_latest_update_time(self, user_id, latest_update_time): pass

20.4

71

0.735294

30

204

4.6

0.5

0.26087

0.347826

0.289855

0.434783

0

0.205882

204

9

72

22.666667

0.851852

0

0.333333

0

1

0.333333

false

0.333333

0.166667

0

0.666667

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

1de14650e1908bf351d8d6fbd904977694fb8686

271

py

Python

pyra_pytorch/__init__.py

vlbthambawita/pyra-pip

2b4056045ca5b9618571deb7c05ab05ef7476d2c

[ "MIT" ]

null

pyra_pytorch/__init__.py

vlbthambawita/pyra-pip

2b4056045ca5b9618571deb7c05ab05ef7476d2c

[ "MIT" ]

1

2021-11-17T13:45:26.000Z

2022-01-19T20:19:07.000Z

pyra_pytorch/__init__.py

vlbthambawita/pyra-pytorch

2b4056045ca5b9618571deb7c05ab05ef7476d2c

[ "MIT" ]

null

from pyra_pytorch.pyra_pytorch import DatasetWithGridEncoding as PYRADataset from pyra_pytorch.pyra_pytorch import DatasetWithGridEncodingFromFilePaths as PYRADatasetFromPaths from pyra_pytorch.pyra_pytorch import DatasetWithGridEncodingFromDataFrame as PYRADatasetFromDF

90.333333

98

0.926199

27

271

9.074074

0.407407

0.269388

0.183673

0.232653

0.391837

0

0.062731

271

3

99

90.333333

0.964567

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

380386814488c6da3e4d7673dcbea1de845baba0

7,513

py

Python

TransmitRF_OK.py

PJCzx/Rx-Tx

74b9dc20a4d3f2164c4e66265749398f18596c9d

[ "MIT" ]

2

2017-11-21T19:53:06.000Z

2019-07-31T12:40:23.000Z

TransmitRF_OK.py

PJCzx/Rx-Tx

74b9dc20a4d3f2164c4e66265749398f18596c9d

[ "MIT" ]

null

TransmitRF_OK.py

PJCzx/Rx-Tx

74b9dc20a4d3f2164c4e66265749398f18596c9d

[ "MIT" ]

2

2020-10-02T08:14:39.000Z

2021-02-22T03:52:14.000Z

import time import sys import RPi.GPIO as GPIO up = 'up' up_1 = '101011100110111011011110101001000111111101111111111110100110110000' up_2 = '101011100110111011011110101001000111111101111111111011011101111110' down = 'down' down_1 = '101011100110111011011110101001000111111101111111110111100101000000' down_2 = '101011100110111011011110101001000111111101111111111011011101111110' stop = 'stop' stop_1 = '101011100110111011011110101001000111111101111111111011100110000000' pause = 0.5 short_delay = 0.00018 long_delay = 0.00058 extended_delay = 0.00518 half_code_delay = 0.01033 NUM_ATTEMPTS = 4 TRANSMIT_PIN = 23 print "var settings done" def transmit_code(code): '''Transmit a chosen code string using the GPIO transmitter''' print "entering code" GPIO.setmode(GPIO.BCM) GPIO.setup(TRANSMIT_PIN, GPIO.OUT) GPIO.output(TRANSMIT_PIN, 0) time.sleep(pause) # UP COMMAND if code is up or code == 100: print "going up" for t in range(NUM_ATTEMPTS): print "entering for %s on %s" % (t, NUM_ATTEMPTS) GPIO.output(TRANSMIT_PIN, 1) time.sleep(extended_delay) for i in up_1: if i == '1': GPIO.output(TRANSMIT_PIN, 1) time.sleep(short_delay) GPIO.output(TRANSMIT_PIN, 0) time.sleep(long_delay) print " 1 sent" elif i == '0': GPIO.output(TRANSMIT_PIN, 1) time.sleep(long_delay) GPIO.output(TRANSMIT_PIN, 0) time.sleep(short_delay) print " 0 sent" else: continue GPIO.output(TRANSMIT_PIN, 0) time.sleep(extended_delay) print " extended delay sent" print "out of for loop up_1" time.sleep(half_code_delay) print "adding half code delay" for t in range(NUM_ATTEMPTS): print "entering for %s on %s" % (t, NUM_ATTEMPTS) GPIO.output(TRANSMIT_PIN, 1) time.sleep(extended_delay) for i in up_2: if i == '1': GPIO.output(TRANSMIT_PIN, 1) time.sleep(short_delay) GPIO.output(TRANSMIT_PIN, 0) time.sleep(long_delay) print " 1 sent" elif i == '0': GPIO.output(TRANSMIT_PIN, 1) time.sleep(long_delay) GPIO.output(TRANSMIT_PIN, 0) time.sleep(short_delay) print " 0 sent" else: continue GPIO.output(TRANSMIT_PIN, 0) time.sleep(extended_delay) print " extended delay sent" print "out of for loop up_2" print "out of if up" # END UP COMMAND # DOWN COMMAND if code is down or code == 0: print "going down" for t in range(NUM_ATTEMPTS): print "entering for %s on %s" % (t, NUM_ATTEMPTS) GPIO.output(TRANSMIT_PIN, 1) time.sleep(extended_delay) for i in down_1: if i == '1': GPIO.output(TRANSMIT_PIN, 1) time.sleep(short_delay) GPIO.output(TRANSMIT_PIN, 0) time.sleep(long_delay) print " 1 sent" elif i == '0': GPIO.output(TRANSMIT_PIN, 1) time.sleep(long_delay) GPIO.output(TRANSMIT_PIN, 0) time.sleep(short_delay) print " 0 sent" else: continue GPIO.output(TRANSMIT_PIN, 0) time.sleep(extended_delay) print " extended delay sent" print "out of for loop down_1" time.sleep(half_code_delay) print "adding half code delay" for t in range(NUM_ATTEMPTS): print "entering for %s on %s" % (t, NUM_ATTEMPTS) GPIO.output(TRANSMIT_PIN, 1) time.sleep(extended_delay) for i in down_2: if i == '1': GPIO.output(TRANSMIT_PIN, 1) time.sleep(short_delay) GPIO.output(TRANSMIT_PIN, 0) time.sleep(long_delay) print " 1 sent" elif i == '0': GPIO.output(TRANSMIT_PIN, 1) time.sleep(long_delay) GPIO.output(TRANSMIT_PIN, 0) time.sleep(short_delay) print " 0 sent" else: continue GPIO.output(TRANSMIT_PIN, 0) time.sleep(extended_delay) print " extended delay sent" print "out of for loop down_2" print "out of if down" # END DOWN COMMAND # STOP COMMAND if code is stop or (code < 100 and code > 0): print "stopping" for t in range(NUM_ATTEMPTS): print "entering for %s on %s" % (t, NUM_ATTEMPTS) GPIO.output(TRANSMIT_PIN, 1) time.sleep(extended_delay) for i in stop_1: if i == '1': GPIO.output(TRANSMIT_PIN, 1) time.sleep(short_delay) GPIO.output(TRANSMIT_PIN, 0) time.sleep(long_delay) print " 1 sent" elif i == '0': GPIO.output(TRANSMIT_PIN, 1) time.sleep(long_delay) GPIO.output(TRANSMIT_PIN, 0) time.sleep(short_delay) print " 0 sent" else: continue GPIO.output(TRANSMIT_PIN, 0) time.sleep(extended_delay) print " extended delay sent" print "out of for loop stop_1" # time.sleep(half_code_delay) # print "adding half code delay" # for t in range(NUM_ATTEMPTS): # print "entering for %s on %s" % (t, NUM_ATTEMPTS) # GPIO.output(TRANSMIT_PIN, 1) # time.sleep(extended_delay) # for i in stop_2: # if i == '1': # GPIO.output(TRANSMIT_PIN, 1) # time.sleep(short_delay) # GPIO.output(TRANSMIT_PIN, 0) # time.sleep(long_delay) # print " 1 sent" # elif i == '0': # GPIO.output(TRANSMIT_PIN, 1) # time.sleep(long_delay) # GPIO.output(TRANSMIT_PIN, 0) # time.sleep(short_delay) # print " 0 sent" # else: # continue # GPIO.output(TRANSMIT_PIN, 0) # time.sleep(extended_delay) # print " extended delay sent" # print "out of for loop stop_2" print "out of if stop" # END STOP COMMAND GPIO.output(TRANSMIT_PIN, 0) time.sleep(half_code_delay) GPIO.cleanup() if __name__ == '__main__': for argument in sys.argv[1:]: exec('transmit_code(' + str(argument) + ')')

37.009852

78

0.491947

806

7,513

4.425558

0.101737

0.103448

0.191758

0.223717

0.74208

0.727502

0.710121

0

0.103929

0.427526

7,513

202

79

37.193069

0.725413

0.117796

0

0.704403

0

0.143579

0.052124

0

null

0

0.018868

null

0.220126

0

null

0

1

0

1

0

1

0

null

0

1

0

9

381962801f11372636adf11aac6c677fdfa7a264

5,242

py

Python

mimo/abstraction.py

pnickl/mimo

81c4bbd2594e2136445009eae752ab8a1602a1cf

[ "MIT" ]

3

2020-05-19T12:01:48.000Z

2020-10-15T11:51:37.000Z

mimo/abstraction.py

pnickl/mimo

81c4bbd2594e2136445009eae752ab8a1602a1cf

[ "MIT" ]

null

mimo/abstraction.py

pnickl/mimo

81c4bbd2594e2136445009eae752ab8a1602a1cf

[ "MIT" ]

null

import abc import copy from operator import add, sub from functools import reduce from future.utils import with_metaclass from mimo.util.data import islist # Base classes class Distribution(with_metaclass(abc.ABCMeta, object)): @abc.abstractmethod def rvs(self, size=1): # random variates (samples) pass @abc.abstractmethod def log_likelihood(self, x): """ log likelihood (either log probability mass function or log probability density function) of x, which has the same type as the output of rvs() """ pass @abc.abstractmethod def mean(self): pass @abc.abstractmethod def mode(self): pass @abc.abstractmethod def log_partition(self): pass @abc.abstractmethod def entropy(self): pass class BayesianDistribution(with_metaclass(abc.ABCMeta, Distribution)): @abc.abstractmethod def empirical_bayes(self, data): """ (optional) set hyperparameters via empirical bayes e.g. treat argument as a pseudo-dataset for exponential family """ raise NotImplementedError # Algorithm interfaces for inference in distributions @abc.abstractmethod def resample(self, data=[]): pass @abc.abstractmethod def copy_sample(self): """ return an object copy suitable for making lists of posterior samples (override this method to prevent copying shared structures into each sample) """ return copy.deepcopy(self) @abc.abstractmethod def resample_and_copy(self): self.resample() return self.copy_sample() @abc.abstractmethod def expected_log_likelihood(self, data): pass @abc.abstractmethod def meanfield_update(self, data, weights): pass @abc.abstractmethod def variational_lowerbound(self): raise NotImplementedError @abc.abstractmethod def meanfield_sgdstep(self, stats, weights, prob, stepsize): pass @abc.abstractmethod def max_likelihood(self, data, weights=None): """ sets the parameters set to their maximum likelihood values given the (weighted) data """ pass @property def nb_params(self): raise NotImplementedError @abc.abstractmethod def max_aposteriori(self, data, weights=None): """ sets the parameters to their MAP values given the (weighted) data analogous to max_likelihood but includes hyperparameters """ pass class Conditional(with_metaclass(abc.ABCMeta, object)): @abc.abstractmethod def rvs(self, x): # random variates (samples) pass @abc.abstractmethod def log_likelihood(self, y, x): """ log likelihood (either log probability mass function or log probability density function) of y, which has the same type as the output of rvs() x is a conditional variable of the density """ pass @abc.abstractmethod def mean(self, x): pass @abc.abstractmethod def mode(self, x): pass @abc.abstractmethod def log_partition(self): pass @abc.abstractmethod def entropy(self): pass class BayesianConditional(with_metaclass(abc.ABCMeta, Conditional)): def empirical_bayes(self, data): """ (optional) set hyperparameters via empirical bayes e.g. treat argument as a pseudo-dataset for exponential family """ raise NotImplementedError @abc.abstractmethod def resample(self, data=[]): pass def resample_and_copy(self): self.resample() return self.copy_sample() @abc.abstractmethod def expected_log_likelihood(self, x): pass @abc.abstractmethod def meanfield_update(self, data, weights): pass def variational_lowerbound(self): raise NotImplementedError @abc.abstractmethod def meanfield_sgdstep(self, stats, weights, prob, stepsize): pass @abc.abstractmethod def max_likelihood(self, data, weights=None): """ sets the parameters set to their maximum likelihood values given the (weighted) data """ pass @property def nb_params(self): raise NotImplementedError @abc.abstractmethod def max_aposteriori(self, data, weights=None): """ sets the parameters to their MAP values given the (weighted) data analogous to max_likelihood but includes hyperparameters """ pass class Statistics(tuple): def __new__(cls, x): return tuple.__new__(Statistics, x) def __add__(self, y): gsum = lambda x, y: reduce(lambda a, b: list(map(add, a, b)) if islist(x, y) else a + b, [x, y]) return Statistics(tuple(map(gsum, self, y))) def __sub__(self, y): gsub = lambda x, y: reduce(lambda a, b: list(map(sub, a, b)) if islist(x, y) else a - b, [x, y]) return Statistics(tuple(map(gsub, self, y))) def __mul__(self, a): return Statistics(a * e for e in self) def __rmul__(self, a): return Statistics(a * e for e in self)

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699d391a3f400c4143515472e690f2751f026a68

81,481

py

Python

examples/subsystem/spacecraft_parsed_classes.py

WinstonPais/hydrus

0d1ccaa8fd2512d815f32c627327d0ce4770c220

[ "MIT" ]

214

2017-02-06T17:52:18.000Z

2022-02-14T08:42:34.000Z

examples/subsystem/spacecraft_parsed_classes.py

WinstonPais/hydrus

0d1ccaa8fd2512d815f32c627327d0ce4770c220

[ "MIT" ]

447

2016-12-16T11:33:43.000Z

2022-02-25T10:44:14.000Z

examples/subsystem/spacecraft_parsed_classes.py

WinstonPais/hydrus

0d1ccaa8fd2512d815f32c627327d0ce4770c220

[ "MIT" ]

233

2017-05-30T08:33:05.000Z

2022-03-04T12:05:17.000Z

"""Parsed classes generated by hydra-openapi-parser(https://github.com/HTTP-APIs/hydra-openapi-parser) for spacecraft data.""" parsed_classes = [ { "@type": "Class", "supportedProperty": [ { "@type": "SupportedProperty", "title": "isSubsystemOf", "property": "http://ontology.projectchronos.eu/spacecraft/isSubsystemOf", "description": "subject is a device or a system of devices that is subsystem of a wider system or device", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isComponentOf", "property": "http://ontology.projectchronos.eu/spacecraft/isComponentOf", "description": "the subject is a member of a wider artifact, that is a set of artifacts", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "hasSubSystem", "property": "http://ontology.projectchronos.eu/spacecraft/hasSubSystem", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isDeployedIn", "property": "http://ontology.projectchronos.eu/spacecraft/isDeployedIn", "description": "the environment in which a device or a system of devices is designed to work", "readonly": "false", "required": "false", "writeonly": "false" } ], "title": "cubicMillimeters", "supportedOperation": [ { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/cubicMillimeters", "label": "Creates a new cubicMillimeters entity", "method": "POST", "@id": "_:cubicMillimeters_create", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/cubicMillimeters" }, { "statusCodes": [ { "code": 404, "description": "If the cubicMillimeters entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/cubicMillimeters", "label": "Replaces an existing cubicMillimeters entity", "method": "PUT", "@id": "_:cubicMillimeters_replace", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/cubicMillimeters" }, { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "null", "label": "Deletes a cubicMillimeters entity", "method": "DELETE", "@id": "_:cubicMillimeters_delete", "description": "null", "expects": "null" }, { "statusCodes": [ { "code": 404, "description": "If the cubicMillimeters entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/cubicMillimeters", "label": "Retrieves a cubicMillimeters entity", "method": "GET", "@id": "_:cubicMillimeters_retrieve", "description": "null", "expects": "null" } ], "description": "unit of measure for volume", "@id": "http://ontology.projectchronos.eu/subsystems/cubicMillimeters" }, { "@type": "Class", "supportedProperty": [ { "@type": "SupportedProperty", "title": "isSubsystemOf", "property": "http://ontology.projectchronos.eu/spacecraft/isSubsystemOf", "description": "subject is a device or a system of devices that is subsystem of a wider system or device", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isComponentOf", "property": "http://ontology.projectchronos.eu/spacecraft/isComponentOf", "description": "the subject is a member of a wider artifact, that is a set of artifacts", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "hasSubSystem", "property": "http://ontology.projectchronos.eu/spacecraft/hasSubSystem", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isDeployedIn", "property": "http://ontology.projectchronos.eu/spacecraft/isDeployedIn", "description": "the environment in which a device or a system of devices is designed to work", "readonly": "false", "required": "false", "writeonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsytems/objective", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsytems/isComponentOf", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasWireOutWith", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasWireInWith", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/maxWorkingTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/minWorkingTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasVoltage", "writeonly": "false", "readonly": "false" } ], "title": "Spacecraft_Detector", "supportedOperation": [ { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Detector", "label": "Creates a new Spacecraft_Detector entity", "method": "POST", "@id": "_:Spacecraft_Detector_create", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Detector" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_Detector entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Detector", "label": "Replaces an existing Spacecraft_Detector entity", "method": "PUT", "@id": "_:Spacecraft_Detector_replace", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Detector" }, { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "null", "label": "Deletes a Spacecraft_Detector entity", "method": "DELETE", "@id": "_:Spacecraft_Detector_delete", "description": "null", "expects": "null" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_Detector entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Detector", "label": "Retrieves a Spacecraft_Detector entity", "method": "GET", "@id": "_:Spacecraft_Detector_retrieve", "description": "null", "expects": "null" } ], "description": "A space detector is a sensor supported by another device that let it collect data, that is deployed into a spacecraft and works outside Earth lower atmosphere", "@id": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Detector" }, { "@type": "Class", "supportedProperty": [ { "@type": "SupportedProperty", "title": "isSubsystemOf", "property": "http://ontology.projectchronos.eu/spacecraft/isSubsystemOf", "description": "subject is a device or a system of devices that is subsystem of a wider system or device", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isComponentOf", "property": "http://ontology.projectchronos.eu/spacecraft/isComponentOf", "description": "the subject is a member of a wider artifact, that is a set of artifacts", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "hasSubSystem", "property": "http://ontology.projectchronos.eu/spacecraft/hasSubSystem", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "embedSensor", "property": "http://ontology.projectchronos.eu/subsystems/embedSensor", "description": "a subsystem that holds a sensor", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isDeployedIn", "property": "http://ontology.projectchronos.eu/spacecraft/isDeployedIn", "description": "the environment in which a device or a system of devices is designed to work", "readonly": "false", "required": "false", "writeonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsytems/function", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/typeOfPropellant", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasSpecificImpulse", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/maxWorkingTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/minWorkingTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/subSystemType", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasWireInWith", "writeonly": "false", "readonly": "false" } ], "title": "Spacecraft_Propulsion", "supportedOperation": [ { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Propulsion", "label": "Creates a new Spacecraft_Propulsion entity", "method": "POST", "@id": "_:Spacecraft_Propulsion_create", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Propulsion" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_Propulsion entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Propulsion", "label": "Replaces an existing Spacecraft_Propulsion entity", "method": "PUT", "@id": "_:Spacecraft_Propulsion_replace", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Propulsion" }, { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "null", "label": "Deletes a Spacecraft_Propulsion entity", "method": "DELETE", "@id": "_:Spacecraft_Propulsion_delete", "description": "null", "expects": "null" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_Propulsion entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Propulsion", "label": "Retrieves a Spacecraft_Propulsion entity", "method": "GET", "@id": "_:Spacecraft_Propulsion_retrieve", "description": "null", "expects": "null" } ], "description": "Complex devices-subsystems used for impelling (processes of applying a force which results in translational motion) a spacecraft, in the specific http://umbel.org/umbel/rc/ProjectilePropelling", "@id": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Propulsion" }, { "@type": "Class", "supportedProperty": [ { "@type": "SupportedProperty", "title": "isSubsystemOf", "property": "http://ontology.projectchronos.eu/spacecraft/isSubsystemOf", "description": "subject is a device or a system of devices that is subsystem of a wider system or device", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isComponentOf", "property": "http://ontology.projectchronos.eu/spacecraft/isComponentOf", "description": "the subject is a member of a wider artifact, that is a set of artifacts", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "hasSubSystem", "property": "http://ontology.projectchronos.eu/spacecraft/hasSubSystem", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "embedSensor", "property": "http://ontology.projectchronos.eu/subsystems/embedSensor", "description": "a subsystem that holds a sensor", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isDeployedIn", "property": "http://ontology.projectchronos.eu/spacecraft/isDeployedIn", "description": "the environment in which a device or a system of devices is designed to work", "readonly": "false", "required": "false", "writeonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsytems/function", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasEfficiency", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasVoltage", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/subSystemType", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/maxWorkingTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/minWorkingTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasWireOutWith", "writeonly": "false", "readonly": "false" } ], "title": "Spacecraft_PrimaryPower", "supportedOperation": [ { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_PrimaryPower", "label": "Creates a new Spacecraft_PrimaryPower entity", "method": "POST", "@id": "_:Spacecraft_PrimaryPower_create", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_PrimaryPower" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_PrimaryPower entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_PrimaryPower", "label": "Replaces an existing Spacecraft_PrimaryPower entity", "method": "PUT", "@id": "_:Spacecraft_PrimaryPower_replace", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_PrimaryPower" }, { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "null", "label": "Deletes a Spacecraft_PrimaryPower entity", "method": "DELETE", "@id": "_:Spacecraft_PrimaryPower_delete", "description": "null", "expects": "null" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_PrimaryPower entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_PrimaryPower", "label": "Retrieves a Spacecraft_PrimaryPower entity", "method": "GET", "@id": "_:Spacecraft_PrimaryPower_retrieve", "description": "null", "expects": "null" } ], "description": "Complex devices-subsystems used for collecting energy.", "@id": "http://ontology.projectchronos.eu/subsystems/Spacecraft_PrimaryPower" }, { "@type": "Class", "supportedProperty": [ { "@type": "SupportedProperty", "title": "isSubsystemOf", "property": "http://ontology.projectchronos.eu/spacecraft/isSubsystemOf", "description": "subject is a device or a system of devices that is subsystem of a wider system or device", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isComponentOf", "property": "http://ontology.projectchronos.eu/spacecraft/isComponentOf", "description": "the subject is a member of a wider artifact, that is a set of artifacts", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "hasSubSystem", "property": "http://ontology.projectchronos.eu/spacecraft/hasSubSystem", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "embedSensor", "property": "http://ontology.projectchronos.eu/subsystems/embedSensor", "description": "a subsystem that holds a sensor", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isDeployedIn", "property": "http://ontology.projectchronos.eu/spacecraft/isDeployedIn", "description": "the environment in which a device or a system of devices is designed to work", "readonly": "false", "required": "false", "writeonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsytems/function", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/subSystemType", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasWireInWith", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/maxWorkingTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/minWorkingTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasWireOutWith", "writeonly": "false", "readonly": "false" } ], "title": "Spacecraft_BackupPower", "supportedOperation": [ { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_BackupPower", "label": "Creates a new Spacecraft_BackupPower entity", "method": "POST", "@id": "_:Spacecraft_BackupPower_create", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_BackupPower" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_BackupPower entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_BackupPower", "label": "Replaces an existing Spacecraft_BackupPower entity", "method": "PUT", "@id": "_:Spacecraft_BackupPower_replace", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_BackupPower" }, { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "null", "label": "Deletes a Spacecraft_BackupPower entity", "method": "DELETE", "@id": "_:Spacecraft_BackupPower_delete", "description": "null", "expects": "null" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_BackupPower entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_BackupPower", "label": "Retrieves a Spacecraft_BackupPower entity", "method": "GET", "@id": "_:Spacecraft_BackupPower_retrieve", "description": "null", "expects": "null" } ], "description": "Complex devices-subsystems used for storing energy.", "@id": "http://ontology.projectchronos.eu/subsystems/Spacecraft_BackupPower" }, { "@type": "Class", "supportedProperty": [ { "@type": "SupportedProperty", "title": "isSubsystemOf", "property": "http://ontology.projectchronos.eu/spacecraft/isSubsystemOf", "description": "subject is a device or a system of devices that is subsystem of a wider system or device", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isComponentOf", "property": "http://ontology.projectchronos.eu/spacecraft/isComponentOf", "description": "the subject is a member of a wider artifact, that is a set of artifacts", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "hasSubSystem", "property": "http://ontology.projectchronos.eu/spacecraft/hasSubSystem", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "embedSensor", "property": "http://ontology.projectchronos.eu/subsystems/embedSensor", "description": "a subsystem that holds a sensor", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isDeployedIn", "property": "http://ontology.projectchronos.eu/spacecraft/isDeployedIn", "description": "the environment in which a device or a system of devices is designed to work", "readonly": "false", "required": "false", "writeonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsytems/function", "writeonly": "false", "readonly": "false" } ], "title": "Spacecraft_Thermal", "supportedOperation": [ { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Thermal", "label": "Creates a new Spacecraft_Thermal entity", "method": "POST", "@id": "_:Spacecraft_Thermal_create", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Thermal" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_Thermal entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Thermal", "label": "Replaces an existing Spacecraft_Thermal entity", "method": "PUT", "@id": "_:Spacecraft_Thermal_replace", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Thermal" }, { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "null", "label": "Deletes a Spacecraft_Thermal entity", "method": "DELETE", "@id": "_:Spacecraft_Thermal_delete", "description": "null", "expects": "null" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_Thermal entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Thermal", "label": "Retrieves a Spacecraft_Thermal entity", "method": "GET", "@id": "_:Spacecraft_Thermal_retrieve", "description": "null", "expects": "null" } ], "description": "Shields, shells or any device insulation from/reflecting radiation exploiting emission and absorption events", "@id": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Thermal" }, { "@type": "Class", "supportedProperty": [ { "@type": "SupportedProperty", "title": "isSubsystemOf", "property": "http://ontology.projectchronos.eu/spacecraft/isSubsystemOf", "description": "subject is a device or a system of devices that is subsystem of a wider system or device", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isComponentOf", "property": "http://ontology.projectchronos.eu/spacecraft/isComponentOf", "description": "the subject is a member of a wider artifact, that is a set of artifacts", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "hasSubSystem", "property": "http://ontology.projectchronos.eu/spacecraft/hasSubSystem", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isDeployedIn", "property": "http://ontology.projectchronos.eu/spacecraft/isDeployedIn", "description": "the environment in which a device or a system of devices is designed to work", "readonly": "false", "required": "false", "writeonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/subSystemType", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/maxWorkingTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/minWorkingTemperature", "writeonly": "false", "readonly": "false" } ], "title": "Spacecraft_Thermal_PassiveDevice", "supportedOperation": [ { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Thermal_PassiveDevice", "label": "Creates a new Spacecraft_Thermal_PassiveDevice entity", "method": "POST", "@id": "_:Spacecraft_Thermal_PassiveDevice_create", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Thermal_PassiveDevice" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_Thermal_PassiveDevice entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Thermal_PassiveDevice", "label": "Replaces an existing Spacecraft_Thermal_PassiveDevice entity", "method": "PUT", "@id": "_:Spacecraft_Thermal_PassiveDevice_replace", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Thermal_PassiveDevice" }, { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "null", "label": "Deletes a Spacecraft_Thermal_PassiveDevice entity", "method": "DELETE", "@id": "_:Spacecraft_Thermal_PassiveDevice_delete", "description": "null", "expects": "null" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_Thermal_PassiveDevice entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Thermal_PassiveDevice", "label": "Retrieves a Spacecraft_Thermal_PassiveDevice entity", "method": "GET", "@id": "_:Spacecraft_Thermal_PassiveDevice_retrieve", "description": "null", "expects": "null" } ], "description": "They are passive because they mostly transform radiation into heating/cooling ", "@id": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Thermal_PassiveDevice" }, { "@type": "Class", "supportedProperty": [ { "@type": "SupportedProperty", "title": "isSubsystemOf", "property": "http://ontology.projectchronos.eu/spacecraft/isSubsystemOf", "description": "subject is a device or a system of devices that is subsystem of a wider system or device", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isComponentOf", "property": "http://ontology.projectchronos.eu/spacecraft/isComponentOf", "description": "the subject is a member of a wider artifact, that is a set of artifacts", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "hasSubSystem", "property": "http://ontology.projectchronos.eu/spacecraft/hasSubSystem", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isDeployedIn", "property": "http://ontology.projectchronos.eu/spacecraft/isDeployedIn", "description": "the environment in which a device or a system of devices is designed to work", "readonly": "false", "required": "false", "writeonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/subSystemType", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasWireInWith", "writeonly": "false", "readonly": "false" } ], "title": "Spacecraft_Thermal_ActiveDevice", "supportedOperation": [ { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Thermal_ActiveDevice", "label": "Creates a new Spacecraft_Thermal_ActiveDevice entity", "method": "POST", "@id": "_:Spacecraft_Thermal_ActiveDevice_create", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Thermal_ActiveDevice" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_Thermal_ActiveDevice entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Thermal_ActiveDevice", "label": "Replaces an existing Spacecraft_Thermal_ActiveDevice entity", "method": "PUT", "@id": "_:Spacecraft_Thermal_ActiveDevice_replace", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Thermal_ActiveDevice" }, { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "null", "label": "Deletes a Spacecraft_Thermal_ActiveDevice entity", "method": "DELETE", "@id": "_:Spacecraft_Thermal_ActiveDevice_delete", "description": "null", "expects": "null" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_Thermal_ActiveDevice entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Thermal_ActiveDevice", "label": "Retrieves a Spacecraft_Thermal_ActiveDevice entity", "method": "GET", "@id": "_:Spacecraft_Thermal_ActiveDevice_retrieve", "description": "null", "expects": "null" } ], "description": "Complex devices-subsystems used to protect sensors or electronic devices from over/under-heating, like refrigeration absorption.", "@id": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Thermal_ActiveDevice" }, { "@type": "Class", "supportedProperty": [ { "@type": "SupportedProperty", "title": "isSubsystemOf", "property": "http://ontology.projectchronos.eu/spacecraft/isSubsystemOf", "description": 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"http://ontology.projectchronos.eu/spacecraft/isDeployedIn", "description": "the environment in which a device or a system of devices is designed to work", "readonly": "false", "required": "false", "writeonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsytems/function", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/maxWorkingTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/minWorkingTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/standsMaxTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/subSystemType", "writeonly": "false", "readonly": "false" } ], "title": "Spacecraft_Structure", "supportedOperation": [ { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Structure", "label": "Creates a new Spacecraft_Structure entity", "method": "POST", "@id": "_:Spacecraft_Structure_create", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Structure" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_Structure entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Structure", "label": "Replaces an existing Spacecraft_Structure entity", "method": "PUT", "@id": "_:Spacecraft_Structure_replace", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Structure" }, { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "null", "label": "Deletes a Spacecraft_Structure entity", "method": "DELETE", "@id": "_:Spacecraft_Structure_delete", "description": "null", "expects": "null" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_Structure entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Structure", "label": "Retrieves a Spacecraft_Structure entity", "method": "GET", "@id": "_:Spacecraft_Structure_retrieve", "description": "null", "expects": "null" } ], "description": "It's the skeleton and framework of the spacecraft.", "@id": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Structure" }, { "@type": "Class", "supportedProperty": [ { "@type": "SupportedProperty", "title": "isSubsystemOf", "property": "http://ontology.projectchronos.eu/spacecraft/isSubsystemOf", "description": "subject is a device or a system of devices that is subsystem of a wider system or device", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isComponentOf", "property": "http://ontology.projectchronos.eu/spacecraft/isComponentOf", "description": "the subject is a member of a wider artifact, that is a set of artifacts", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "hasSubSystem", "property": "http://ontology.projectchronos.eu/spacecraft/hasSubSystem", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "embedSensor", "property": "http://ontology.projectchronos.eu/subsystems/embedSensor", "description": "a subsystem that holds a sensor", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isDeployedIn", "property": "http://ontology.projectchronos.eu/spacecraft/isDeployedIn", "description": "the environment in which a device or a system of devices is designed to work", "readonly": "false", "required": "false", "writeonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsytems/function", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasVoltage", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasMaxClock", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasMinClock", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasDataStorage", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasDataStorageExternal", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasRAM", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasMinTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasMaxTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/subSystemType", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/maxWorkingTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/minWorkingTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasWireOutWith", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasWireInWith", "writeonly": "false", "readonly": "false" } ], "title": "Spacecraft_CDH", "supportedOperation": [ { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_CDH", "label": "Creates a new Spacecraft_CDH entity", "method": "POST", "@id": "_:Spacecraft_CDH_create", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_CDH" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_CDH entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_CDH", "label": "Replaces an existing Spacecraft_CDH entity", "method": "PUT", "@id": "_:Spacecraft_CDH_replace", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_CDH" }, { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "null", "label": "Deletes a Spacecraft_CDH entity", "method": "DELETE", "@id": "_:Spacecraft_CDH_delete", "description": "null", "expects": "null" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_CDH entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_CDH", "label": "Retrieves a Spacecraft_CDH entity", "method": "GET", "@id": "_:Spacecraft_CDH_retrieve", "description": "null", "expects": "null" } ], "description": "The DH system shall: Enable HK and science data flow \u2013 Housekeeping data (Temperatures, Pressures, Voltages, Currents, Status,...) \u2013 Attitude data \u2013 Payload data (e.g., Science data) - Receive and distribute commands - Perform TM and TC protocols - Distribute timing signals - Synchronization of data \u2013 Time stamping of data - Provide data storage - Execute commands and schedules - Control subsystems and payloads - Monitor spacecraft health - Make autonomous decisions - Perform data compression.", "@id": "http://ontology.projectchronos.eu/subsystems/Spacecraft_CDH" }, { "@type": "Class", "supportedProperty": [ { "@type": "SupportedProperty", "title": "isSubsystemOf", "property": "http://ontology.projectchronos.eu/spacecraft/isSubsystemOf", "description": "subject is a device or a system of devices that is subsystem of a wider system or device", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isComponentOf", "property": "http://ontology.projectchronos.eu/spacecraft/isComponentOf", "description": "the subject is a member of a wider artifact, that is a set of artifacts", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "hasSubSystem", "property": "http://ontology.projectchronos.eu/spacecraft/hasSubSystem", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "embedSensor", "property": "http://ontology.projectchronos.eu/subsystems/embedSensor", "description": "a subsystem that holds a sensor", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isDeployedIn", "property": "http://ontology.projectchronos.eu/spacecraft/isDeployedIn", "description": "the environment in which a device or a system of devices is designed to work", "readonly": "false", "required": "false", "writeonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsytems/function", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasMinTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasMaxTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/subSystemType", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasWireOutWith", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/maxWorkingTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/minWorkingTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasWireInWith", "writeonly": "false", "readonly": "false" } ], "title": "Spacecraft_Communication", "supportedOperation": [ { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Communication", "label": "Creates a new Spacecraft_Communication entity", "method": "POST", "@id": "_:Spacecraft_Communication_create", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Communication" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_Communication entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Communication", "label": "Replaces an existing Spacecraft_Communication entity", "method": "PUT", "@id": "_:Spacecraft_Communication_replace", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Communication" }, { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "null", "label": "Deletes a Spacecraft_Communication entity", "method": "DELETE", "@id": "_:Spacecraft_Communication_delete", "description": "null", "expects": "null" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_Communication entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Communication", "label": "Retrieves a Spacecraft_Communication entity", "method": "GET", "@id": "_:Spacecraft_Communication_retrieve", "description": "null", "expects": "null" } ], "description": "Complex devices-subsystems used for transmitting/receiving radio waves.", "@id": "http://ontology.projectchronos.eu/subsystems/Spacecraft_Communication" }, { "@type": "Class", "supportedProperty": [ { "@type": "SupportedProperty", "title": "isSubsystemOf", "property": "http://ontology.projectchronos.eu/spacecraft/isSubsystemOf", "description": "subject is a device or a system of devices that is subsystem of a wider system or device", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isComponentOf", "property": "http://ontology.projectchronos.eu/spacecraft/isComponentOf", "description": "the subject is a member of a wider artifact, that is a set of artifacts", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "hasSubSystem", "property": "http://ontology.projectchronos.eu/spacecraft/hasSubSystem", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "embedSensor", "property": "http://ontology.projectchronos.eu/subsystems/embedSensor", "description": "a subsystem that holds a sensor", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isDeployedIn", "property": "http://ontology.projectchronos.eu/spacecraft/isDeployedIn", "description": "the environment in which a device or a system of devices is designed to work", "readonly": "false", "required": "false", "writeonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsytems/function", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/standsMaxTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/maxWorkingTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/minWorkingTemperature", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/subSystemType", "writeonly": "false", "readonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasWireOutWith", "writeonly": "false", "readonly": "false" } ], "title": "Spacecraft_AODCS", "supportedOperation": [ { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_AODCS", "label": "Creates a new Spacecraft_AODCS entity", "method": "POST", "@id": "_:Spacecraft_AODCS_create", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_AODCS" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_AODCS entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_AODCS", "label": "Replaces an existing Spacecraft_AODCS entity", "method": "PUT", "@id": "_:Spacecraft_AODCS_replace", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_AODCS" }, { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "null", "label": "Deletes a Spacecraft_AODCS entity", "method": "DELETE", "@id": "_:Spacecraft_AODCS_delete", "description": "null", "expects": "null" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_AODCS entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_AODCS", "label": "Retrieves a Spacecraft_AODCS entity", "method": "GET", "@id": "_:Spacecraft_AODCS_retrieve", "description": "null", "expects": "null" } ], "description": "Complex devices-subsystems used to set the direction and the position of the spacecraft, it controls flight dynamics.", "@id": "http://ontology.projectchronos.eu/subsystems/Spacecraft_AODCS" }, { "@type": "Class", "supportedProperty": [ { "@type": "SupportedProperty", "title": "isSubsystemOf", "property": "http://ontology.projectchronos.eu/spacecraft/isSubsystemOf", "description": "subject is a device or a system of devices that is subsystem of a wider system or device", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isComponentOf", "property": "http://ontology.projectchronos.eu/spacecraft/isComponentOf", "description": "the subject is a member of a wider artifact, that is a set of artifacts", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "hasSubSystem", "property": "http://ontology.projectchronos.eu/spacecraft/hasSubSystem", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isDeployedIn", "property": "http://ontology.projectchronos.eu/spacecraft/isDeployedIn", "description": "the environment in which a device or a system of devices is designed to work", "readonly": "false", "required": "false", "writeonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasWireInWith", "writeonly": "false", "readonly": "false" } ], "title": "Spacecraft_AODCS_Active", "supportedOperation": [ { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_AODCS_ActiveDevice", "label": "Creates a new Spacecraft_AODCS_Active entity", "method": "POST", "@id": "_:Spacecraft_AODCS_Active_create", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_AODCS_ActiveDevice" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_AODCS_Active entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_AODCS_ActiveDevice", "label": "Replaces an existing Spacecraft_AODCS_Active entity", "method": "PUT", "@id": "_:Spacecraft_AODCS_Active_replace", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_AODCS_ActiveDevice" }, { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "null", "label": "Deletes a Spacecraft_AODCS_Active entity", "method": "DELETE", "@id": "_:Spacecraft_AODCS_Active_delete", "description": "null", "expects": "null" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_AODCS_Active entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_AODCS_ActiveDevice", "label": "Retrieves a Spacecraft_AODCS_Active entity", "method": "GET", "@id": "_:Spacecraft_AODCS_Active_retrieve", "description": "null", "expects": "null" } ], "description": "Do NOT use any additional power from the spacecraft generator", "@id": "http://ontology.projectchronos.eu/subsystems/Spacecraft_AODCS_ActiveDevice" }, { "@type": "Class", "supportedProperty": [ { "@type": "SupportedProperty", "title": "isSubsystemOf", "property": "http://ontology.projectchronos.eu/spacecraft/isSubsystemOf", "description": "subject is a device or a system of devices that is subsystem of a wider system or device", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isComponentOf", "property": "http://ontology.projectchronos.eu/spacecraft/isComponentOf", "description": "the subject is a member of a wider artifact, that is a set of artifacts", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "hasSubSystem", "property": "http://ontology.projectchronos.eu/spacecraft/hasSubSystem", "readonly": "false", "required": "false", "writeonly": "false" }, { "@type": "SupportedProperty", "title": "isDeployedIn", "property": "http://ontology.projectchronos.eu/spacecraft/isDeployedIn", "description": "the environment in which a device or a system of devices is designed to work", "readonly": "false", "required": "false", "writeonly": "false" }, { "required": "false", "@type": "SupportedProperty", "property": "http://ontology.projectchronos.eu/subsystems/hasWireInWith", "writeonly": "false", "readonly": "false" } ], "title": "Spacecraft_AODCS_PassiveDevice", "supportedOperation": [ { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_AODCS_PassiveDevice", "label": "Creates a new Spacecraft_AODCS_PassiveDevice entity", "method": "POST", "@id": "_:Spacecraft_AODCS_PassiveDevice_create", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_AODCS_PassiveDevice" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_AODCS_PassiveDevice entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_AODCS_PassiveDevice", "label": "Replaces an existing Spacecraft_AODCS_PassiveDevice entity", "method": "PUT", "@id": "_:Spacecraft_AODCS_PassiveDevice_replace", "description": "null", "expects": "http://ontology.projectchronos.eu/subsystems/Spacecraft_AODCS_PassiveDevice" }, { "statusCodes": [], "@type": "hydraspec:Operation", "returns": "null", "label": "Deletes a Spacecraft_AODCS_PassiveDevice entity", "method": "DELETE", "@id": "_:Spacecraft_AODCS_PassiveDevice_delete", "description": "null", "expects": "null" }, { "statusCodes": [ { "code": 404, "description": "If the Spacecraft_AODCS_PassiveDevice entity wasn't found." } ], "@type": "hydraspec:Operation", "returns": "http://ontology.projectchronos.eu/subsystems/Spacecraft_AODCS_PassiveDevice", "label": "Retrieves a Spacecraft_AODCS_PassiveDevice entity", "method": "GET", "@id": "_:Spacecraft_AODCS_PassiveDevice_retrieve", "description": "null", "expects": "null" } ], "description": "DO use any additional power from the spacecraft generator", "@id": "http://ontology.projectchronos.eu/subsystems/Spacecraft_AODCS_PassiveDevice" } ]

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385d0679b11e93153f900ea52a913ca0757ce446

17,023

py

Python

tf_quant_finance/models/hull_white/swaption_test.py

DevarakondaV/tf-quant-finance

4502b843ca138c2ae8ad77978a2cf52fa38dbbe5

[ "Apache-2.0" ]

null

tf_quant_finance/models/hull_white/swaption_test.py

DevarakondaV/tf-quant-finance

4502b843ca138c2ae8ad77978a2cf52fa38dbbe5

[ "Apache-2.0" ]

null

tf_quant_finance/models/hull_white/swaption_test.py

DevarakondaV/tf-quant-finance

4502b843ca138c2ae8ad77978a2cf52fa38dbbe5

[ "Apache-2.0" ]

null

# Lint as: python3 # Copyright 2020 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Tests for cap_floor.py.""" from absl.testing import parameterized import numpy as np import tensorflow.compat.v2 as tf import tf_quant_finance as tff from tensorflow.python.framework import test_util # pylint: disable=g-direct-tensorflow-import @test_util.run_all_in_graph_and_eager_modes class HullWhiteSwaptionTest(parameterized.TestCase, tf.test.TestCase): def setUp(self): self.mean_reversion_1d = [0.03] self.volatility_1d = [0.02] self.volatility_time_dep_1d = [0.01, 0.02] self.mean_reversion_2d = [0.03, 0.03] self.volatility_2d = [0.02, 0.02] self.expiries = np.array([1.0]) self.float_leg_start_times = np.array([1.0, 1.25, 1.5, 1.75]) self.float_leg_end_times = np.array([1.25, 1.5, 1.75, 2.0]) self.fixed_leg_payment_times = np.array([1.25, 1.5, 1.75, 2.0]) self.float_leg_daycount_fractions = 0.25 * np.ones_like( self.float_leg_start_times) self.fixed_leg_daycount_fractions = 0.25 * np.ones_like( self.fixed_leg_payment_times) self.fixed_leg_coupon = 0.011 * np.ones_like(self.fixed_leg_payment_times) self.expiries_1d = np.array([1.0, 1.0]) self.float_leg_start_times_1d = np.array([[1.0, 1.25, 1.5, 1.75], [1.0, 1.25, 1.5, 1.75]]) self.float_leg_end_times_1d = np.array([[1.25, 1.5, 1.75, 2.0], [1.25, 1.5, 1.75, 2.0]]) self.fixed_leg_payment_times_1d = np.array([[1.25, 1.5, 1.75, 2.0], [1.25, 1.5, 1.75, 2.0]]) self.float_leg_daycount_fractions_1d = 0.25 * np.ones_like( self.float_leg_start_times_1d) self.fixed_leg_daycount_fractions_1d = 0.25 * np.ones_like( self.fixed_leg_payment_times_1d) self.fixed_leg_coupon_1d = 0.011 * np.ones_like( self.fixed_leg_payment_times_1d) self.expiries_2d = np.array([[1.0, 1.0], [1.0, 1.0]]) self.float_leg_start_times_2d = np.array([[[1.0, 1.25, 1.5, 1.75], [1.0, 1.25, 1.5, 1.75]], [[1.0, 1.25, 1.5, 1.75], [1.0, 1.25, 1.5, 1.75]]]) self.float_leg_end_times_2d = np.array([[[1.25, 1.5, 1.75, 2.0], [1.25, 1.5, 1.75, 2.0]], [[1.25, 1.5, 1.75, 2.0], [1.25, 1.5, 1.75, 2.0]]]) self.fixed_leg_payment_times_2d = np.array([[[1.25, 1.5, 1.75, 2.0], [1.25, 1.5, 1.75, 2.0]], [[1.25, 1.5, 1.75, 2.0], [1.25, 1.5, 1.75, 2.0]]]) self.float_leg_daycount_fractions_2d = 0.25 * np.ones_like( self.float_leg_start_times_2d) self.fixed_leg_daycount_fractions_2d = 0.25 * np.ones_like( self.fixed_leg_payment_times_2d) self.fixed_leg_coupon_2d = 0.011 * np.ones_like( self.fixed_leg_payment_times_2d) super(HullWhiteSwaptionTest, self).setUp() @parameterized.named_parameters( { 'testcase_name': 'analytic', 'use_analytic_pricing': True, 'error_tol': 1e-8, }, { 'testcase_name': 'simulation', 'use_analytic_pricing': False, 'error_tol': 1e-3, }) def test_correctness_1d(self, use_analytic_pricing, error_tol): """Tests model with constant parameters in 1 dimension.""" # 1y x 1y swaption with quarterly payments. dtype = tf.float64 zero_rate_fn = lambda x: 0.01 * tf.ones_like(x, dtype=dtype) price = tff.models.hull_white.swaption_price( expiries=self.expiries, floating_leg_start_times=self.float_leg_start_times, floating_leg_end_times=self.float_leg_end_times, fixed_leg_payment_times=self.fixed_leg_payment_times, floating_leg_daycount_fractions=self.float_leg_daycount_fractions, fixed_leg_daycount_fractions=self.fixed_leg_daycount_fractions, fixed_leg_coupon=self.fixed_leg_coupon, reference_rate_fn=zero_rate_fn, notional=100., dim=1, mean_reversion=self.mean_reversion_1d, volatility=self.volatility_1d, use_analytic_pricing=use_analytic_pricing, num_samples=500000, time_step=0.1, random_type=tff.math.random.RandomType.PSEUDO_ANTITHETIC, seed=0, dtype=dtype) self.assertEqual(price.dtype, dtype) self.assertAllEqual(price.shape, [1, 1]) price = self.evaluate(price) self.assertAllClose(price, [[0.7163243383624043]], rtol=error_tol, atol=error_tol) @parameterized.named_parameters( { 'testcase_name': 'analytic', 'use_analytic_pricing': True, 'error_tol': 1e-8, }, { 'testcase_name': 'simulation', 'use_analytic_pricing': False, 'error_tol': 5e-3, }) def test_receiver_1d(self, use_analytic_pricing, error_tol): """Tests model with constant parameters in 1 dimension.""" # 1y x 1y receiver swaption with quarterly payments. dtype = tf.float64 zero_rate_fn = lambda x: 0.01 * tf.ones_like(x, dtype=dtype) price = tff.models.hull_white.swaption_price( expiries=self.expiries, floating_leg_start_times=self.float_leg_start_times, floating_leg_end_times=self.float_leg_end_times, fixed_leg_payment_times=self.fixed_leg_payment_times, floating_leg_daycount_fractions=self.float_leg_daycount_fractions, fixed_leg_daycount_fractions=self.fixed_leg_daycount_fractions, fixed_leg_coupon=self.fixed_leg_coupon, reference_rate_fn=zero_rate_fn, notional=100., dim=1, mean_reversion=self.mean_reversion_1d, volatility=self.volatility_1d, is_payer_swaption=False, use_analytic_pricing=use_analytic_pricing, num_samples=500000, time_step=0.1, random_type=tff.math.random.RandomType.PSEUDO_ANTITHETIC, seed=0, dtype=dtype) self.assertEqual(price.dtype, dtype) self.assertAllEqual(price.shape, [1, 1]) price = self.evaluate(price) self.assertAllClose(price, [[0.813482544626056]], rtol=error_tol, atol=error_tol) @parameterized.named_parameters( { 'testcase_name': 'analytic', 'use_analytic_pricing': True, 'error_tol': 1e-8, }, { 'testcase_name': 'simulation', 'use_analytic_pricing': False, 'error_tol': 1e-3, }) def test_time_dep_1d(self, use_analytic_pricing, error_tol): """Tests model with time-dependent parameters in 1 dimension.""" # 1y x 1y swaption with quarterly payments. dtype = tf.float64 zero_rate_fn = lambda x: 0.01 * tf.ones_like(x, dtype=dtype) volatility = tff.math.piecewise.PiecewiseConstantFunc( jump_locations=[0.5], values=self.volatility_time_dep_1d, dtype=dtype) price = tff.models.hull_white.swaption_price( expiries=self.expiries, floating_leg_start_times=self.float_leg_start_times, floating_leg_end_times=self.float_leg_end_times, fixed_leg_payment_times=self.fixed_leg_payment_times, floating_leg_daycount_fractions=self.float_leg_daycount_fractions, fixed_leg_daycount_fractions=self.fixed_leg_daycount_fractions, fixed_leg_coupon=self.fixed_leg_coupon, reference_rate_fn=zero_rate_fn, notional=100., dim=1, mean_reversion=self.mean_reversion_1d, volatility=volatility, use_analytic_pricing=use_analytic_pricing, num_samples=1000000, time_step=0.1, random_type=tff.math.random.RandomType.PSEUDO_ANTITHETIC, seed=0, dtype=dtype) self.assertEqual(price.dtype, dtype) self.assertAllEqual(price.shape, [1, 1]) price = self.evaluate(price) self.assertAllClose(price, [[0.5593057004094042]], rtol=error_tol, atol=error_tol) @parameterized.named_parameters( { 'testcase_name': 'analytic', 'use_analytic_pricing': True, 'error_tol': 1e-8, }, { 'testcase_name': 'simulation', 'use_analytic_pricing': False, 'error_tol': 1e-3, }) def test_1d_batch_1d(self, use_analytic_pricing, error_tol): """Tests 1-d batch.""" dtype = tf.float64 zero_rate_fn = lambda x: 0.01 * tf.ones_like(x, dtype=dtype) price = tff.models.hull_white.swaption_price( expiries=self.expiries_1d, floating_leg_start_times=self.float_leg_start_times_1d, floating_leg_end_times=self.float_leg_end_times_1d, fixed_leg_payment_times=self.fixed_leg_payment_times_1d, floating_leg_daycount_fractions=self.float_leg_daycount_fractions_1d, fixed_leg_daycount_fractions=self.fixed_leg_daycount_fractions_1d, fixed_leg_coupon=self.fixed_leg_coupon_1d, reference_rate_fn=zero_rate_fn, notional=100., dim=1, mean_reversion=self.mean_reversion_1d, volatility=self.volatility_1d, use_analytic_pricing=use_analytic_pricing, num_samples=500000, time_step=0.1, random_type=tff.math.random.RandomType.PSEUDO_ANTITHETIC, seed=0, dtype=dtype) self.assertEqual(price.dtype, dtype) self.assertAllEqual(price.shape, [2, 1]) price = self.evaluate(price) self.assertAllClose(price, [[0.7163243383624043], [0.7163243383624043]], rtol=error_tol, atol=error_tol) @parameterized.named_parameters( { 'testcase_name': 'analytic', 'use_analytic_pricing': True, 'error_tol': 1e-8, }, { 'testcase_name': 'simulation', 'use_analytic_pricing': False, 'error_tol': 1e-3, }) def test_2d_batch_1d(self, use_analytic_pricing, error_tol): """Tests 2-d batch.""" dtype = tf.float64 zero_rate_fn = lambda x: 0.01 * tf.ones_like(x, dtype=dtype) price = tff.models.hull_white.swaption_price( expiries=self.expiries_2d, floating_leg_start_times=self.float_leg_start_times_2d, floating_leg_end_times=self.float_leg_end_times_2d, fixed_leg_payment_times=self.fixed_leg_payment_times_2d, floating_leg_daycount_fractions=self.float_leg_daycount_fractions_2d, fixed_leg_daycount_fractions=self.fixed_leg_daycount_fractions_2d, fixed_leg_coupon=self.fixed_leg_coupon_2d, reference_rate_fn=zero_rate_fn, notional=100., dim=1, mean_reversion=self.mean_reversion_1d, volatility=self.volatility_1d, use_analytic_pricing=use_analytic_pricing, num_samples=500000, time_step=0.1, random_type=tff.math.random.RandomType.PSEUDO_ANTITHETIC, seed=0, dtype=dtype) self.assertEqual(price.dtype, dtype) self.assertAllEqual(price.shape, [2, 2, 1]) price = self.evaluate(price) expected = [ 0.7163243383624043, 0.7163243383624043, 0.7163243383624043, 0.7163243383624043 ] self.assertAllClose( price, tf.reshape(expected, (2, 2, 1)), rtol=error_tol, atol=error_tol) @parameterized.named_parameters( { 'testcase_name': 'analytic', 'use_analytic_pricing': True, 'error_tol': 1e-8, }, { 'testcase_name': 'simulation', 'use_analytic_pricing': False, 'error_tol': 1e-3, }) def test_correctness_2d(self, use_analytic_pricing, error_tol): """Tests model with constant parameters in 2 dimensions.""" # 1y x 1y swaption with quarterly payments. dtype = tf.float64 zero_rate_fn = lambda x: 0.01 * tf.ones_like(x, dtype=dtype) price = tff.models.hull_white.swaption_price( expiries=self.expiries, floating_leg_start_times=self.float_leg_start_times, floating_leg_end_times=self.float_leg_end_times, fixed_leg_payment_times=self.fixed_leg_payment_times, floating_leg_daycount_fractions=self.float_leg_daycount_fractions, fixed_leg_daycount_fractions=self.fixed_leg_daycount_fractions, fixed_leg_coupon=self.fixed_leg_coupon, reference_rate_fn=zero_rate_fn, notional=100., dim=2, mean_reversion=self.mean_reversion_2d, volatility=self.volatility_2d, use_analytic_pricing=use_analytic_pricing, num_samples=500000, time_step=0.1, random_type=tff.math.random.RandomType.PSEUDO_ANTITHETIC, seed=0, dtype=dtype) self.assertEqual(price.dtype, dtype) self.assertAllEqual(price.shape, [1, 2]) price = self.evaluate(price) self.assertAllClose(price, [[0.7163243383624043, 0.7163243383624043]], rtol=error_tol, atol=error_tol) @parameterized.named_parameters( { 'testcase_name': 'analytic', 'use_analytic_pricing': True, 'error_tol': 1e-8, }, { 'testcase_name': 'simulation', 'use_analytic_pricing': False, 'error_tol': 5e-3, }) def test_1d_batch_2d(self, use_analytic_pricing, error_tol): """Tests 1-d batch.""" dtype = tf.float64 zero_rate_fn = lambda x: 0.01 * tf.ones_like(x, dtype=dtype) price = tff.models.hull_white.swaption_price( expiries=self.expiries_1d, floating_leg_start_times=self.float_leg_start_times_1d, floating_leg_end_times=self.float_leg_end_times_1d, fixed_leg_payment_times=self.fixed_leg_payment_times_1d, floating_leg_daycount_fractions=self.float_leg_daycount_fractions_1d, fixed_leg_daycount_fractions=self.fixed_leg_daycount_fractions_1d, fixed_leg_coupon=self.fixed_leg_coupon_1d, reference_rate_fn=zero_rate_fn, notional=100., dim=2, mean_reversion=self.mean_reversion_2d, volatility=self.volatility_2d, use_analytic_pricing=use_analytic_pricing, num_samples=500000, time_step=0.1, random_type=tff.math.random.RandomType.PSEUDO_ANTITHETIC, seed=0, dtype=dtype) self.assertEqual(price.dtype, dtype) self.assertAllEqual(price.shape, [2, 2]) price = self.evaluate(price) self.assertAllClose(price, [[0.7163243383624043, 0.7163243383624043], [0.7163243383624043, 0.7163243383624043]], rtol=error_tol, atol=error_tol) @parameterized.named_parameters( { 'testcase_name': 'analytic', 'use_analytic_pricing': True, 'error_tol': 1e-8, }, { 'testcase_name': 'simulation', 'use_analytic_pricing': False, 'error_tol': 1e-3, }) def test_2d_batch_2d(self, use_analytic_pricing, error_tol): """Tests 2-d batch.""" dtype = tf.float64 zero_rate_fn = lambda x: 0.01 * tf.ones_like(x, dtype=dtype) price = tff.models.hull_white.swaption_price( expiries=self.expiries_2d, floating_leg_start_times=self.float_leg_start_times_2d, floating_leg_end_times=self.float_leg_end_times_2d, fixed_leg_payment_times=self.fixed_leg_payment_times_2d, floating_leg_daycount_fractions=self.float_leg_daycount_fractions_2d, fixed_leg_daycount_fractions=self.fixed_leg_daycount_fractions_2d, fixed_leg_coupon=self.fixed_leg_coupon_2d, reference_rate_fn=zero_rate_fn, notional=100., dim=2, mean_reversion=self.mean_reversion_2d, volatility=self.volatility_2d, use_analytic_pricing=use_analytic_pricing, num_samples=500000, time_step=0.1, random_type=tff.math.random.RandomType.PSEUDO_ANTITHETIC, seed=0, dtype=dtype) self.assertEqual(price.dtype, dtype) self.assertAllEqual(price.shape, [2, 2, 2]) price = self.evaluate(price) expected = [ 0.7163243383624043, 0.7163243383624043, 0.7163243383624043, 0.7163243383624043, 0.7163243383624043, 0.7163243383624043, 0.7163243383624043, 0.7163243383624043 ] self.assertAllClose( price, tf.reshape(expected, (2, 2, 2)), rtol=error_tol, atol=error_tol) if __name__ == '__main__': tf.test.main()

39.588372

95

0.654526

2,253

17,023

4.616511

0.091878

0.048457

0.069224

0.048072

0.891068

0.881934

0.87482

0.871743

0.867128

0.857321

0

0.07582

0.24226

17,023

429

96

39.680653

0.730522

0.064442

0

0.769022

0

0.051948

0

0.065217

1

0.024457

false

0

0.013587

0

0.040761

0

null

0

1

0

1

0

null

0

7

38a65634ecff5d4b18121209124fbe177454c571

2,151

py

Python

SOLO/preprocess/finger_flag.py

youngster-all/Unified-Gesture

8d20e051f2b692244c38a4d016629f13fe81c200

[ "MIT" ]

1

2019-12-24T17:00:11.000Z

SOLO/preprocess/finger_flag.py

youngster-all/Unified-Gesture

8d20e051f2b692244c38a4d016629f13fe81c200

[ "MIT" ]

null

SOLO/preprocess/finger_flag.py

youngster-all/Unified-Gesture

8d20e051f2b692244c38a4d016629f13fe81c200

[ "MIT" ]

1

2019-12-24T17:39:46.000Z

""" Considering the presence of the finger in a dataset as True else False """ class Finger: def __int__(self): pass def SingleOne(self): thumb = False index = True middle = False ring = False pinky = False return thumb, index, middle, ring, pinky def SingleTwo(self): thumb = False index = True middle = True ring = False pinky = False return thumb, index, middle, ring, pinky def SingleThree(self): thumb = False index = True middle = True ring = True pinky = False return thumb, index, middle, ring, pinky def SingleFour(self): thumb = False index = True middle = True ring = True pinky = True return thumb, index, middle, ring, pinky def SingleFive(self): thumb = True index = True middle = True ring = True pinky = True return thumb, index, middle, ring, pinky def SingleSix(self): thumb = True index = False middle = False ring = False pinky = True return thumb, index, middle, ring, pinky def SingleSeven(self): thumb = True index = True middle = False ring = False pinky = True return thumb, index, middle, ring, pinky def SingleEight(self): thumb = True index = True middle = False ring = False pinky = False return thumb, index, middle, ring, pinky def SingleNine(self): thumb = False index = True middle = False ring = False pinky = False return thumb, index, middle, ring, pinky def SingleGood(self): thumb = True index = False middle = False ring = False pinky = False return thumb, index, middle, ring, pinky def SingleBad(self): thumb = True index = False middle = False ring = False pinky = False return thumb, index, middle, ring, pinky

22.642105

78

0.529521

228

2,151

4.97807

0.149123

0.087225

0.155066

0.213216

0.828194

0.81674

0.787665

0.753304

0

0.404463

2,151

94

79

22.882979

0.886027

0.032543

0

0.825

0

1

0.15

false

0.0125

0

0.3

0

null

0

1

0

1

0

null

0

8

38c6019efc701dfea699498e04c5c5a3c717adfd

1,846

py

Python

Python/web.py

2000jedi/WebViewer

5211abb9f9c50f87b4f21a68b9533b2ec1e89a9f

[ "MIT" ]

null

Python/web.py

2000jedi/WebViewer

5211abb9f9c50f87b4f21a68b9533b2ec1e89a9f

[ "MIT" ]

null

Python/web.py

2000jedi/WebViewer

5211abb9f9c50f87b4f21a68b9533b2ec1e89a9f

[ "MIT" ]

null

import requests from tomorrow import threads class Get: def __init__(self, url, param=None, special=None, after_complete=None): self.url = url self.param = {} if param is None else param self.special = special self.result = "" self.completed = False self.thread = None self.after_complete_param = after_complete def after_completed(self): pass @threads(5, timeout=30) def get(self): if self.special is None: self.result = requests.get(self.url, params=self.param, timeout=10).text elif self.special == 'json': self.result = requests.get(self.url, params=self.param).json() elif self.special == 'binary': self.result = requests.get(self.url, params=self.param).content else: self.result = 'Cannot detect mode ', self.special self.completed = True self.after_completed() class Post: def __init__(self, url, param=None, special=None, after_complete=None): self.url = url self.param = {} if param is None else param self.special = special self.result = "" self.completed = False self.thread = None self.after_complete_param = after_complete def after_completed(self): pass @threads(5, timeout=30) def post(self): if self.special is None: self.result = requests.post(self.url, params=self.param).text elif self.special == 'json': self.result = requests.post(self.url, params=self.param).json() elif self.special == 'binary': self.result = requests.post(self.url, params=self.param).content else: self.result = 'Cannot detect mode ', self.special self.completed = True self.after_completed()

32.385965

84

0.609426

228

1,846

4.846491

0.171053

0.063348

0.097738

0.092308

0.934842

0.893213

0.727602

0

0.006047

0.283315

1,846

56

85

32.964286

0.829176

0

0.75

0

0.031419

0

1

0.125

false

0.041667

0

0.208333

0

null

0

1

0

1

0

null

0

7

38c92f5e52afe146cbe6c9a59e5b018789f3bd6d

62

py

Python

examples/math.log2/ex1.py

mcorne/python-by-example

15339c0909c84b51075587a6a66391100971c033

[ "MIT" ]

null

examples/math.log2/ex1.py

mcorne/python-by-example

15339c0909c84b51075587a6a66391100971c033

[ "MIT" ]

null

examples/math.log2/ex1.py

mcorne/python-by-example

15339c0909c84b51075587a6a66391100971c033

[ "MIT" ]

null

import math print(math.log2(65536)) print(math.log(65536, 2))

15.5

25

0.741935

11

62

4.181818

0.636364

0.391304

0

0.210526

0.080645

62

3

26

20.666667

0.596491

0

1

0

true

0

0.333333

0

0.333333

0.666667

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

1

0

7

aa6e893ca857e185710e8a740d1ce5f80b12f466

16,078

py

Python

ListSnippets/lsSnips.py

MooersLab/jupyterlabpymolpysnipsplus

b886750d63372434df53d4d6d7cdad6cb02ae4e7

[ "MIT" ]

null

ListSnippets/lsSnips.py

MooersLab/jupyterlabpymolpysnipsplus

b886750d63372434df53d4d6d7cdad6cb02ae4e7

[ "MIT" ]

null

ListSnippets/lsSnips.py

MooersLab/jupyterlabpymolpysnipsplus

b886750d63372434df53d4d6d7cdad6cb02ae4e7

[ "MIT" ]

null

# Description: List all snips by tab trigger and description. # Source: placeHolder """ cmd.do('"""Tab trigger Description') cmd.do('--------------------------- --------------------------------------------------------------------------------------------------------------------------------------------------------------------') cmd.do('antialias Set antialias to get smooth edges') cmd.do('ao Ambient occlussion.') cmd.do('aveB4resiX AveBResiX, prints the resiude number and the average bfactor.') cmd.do(' Uses reduce and lambda, builtin Python functional porgramming functions.') cmd.do(' Note that you need to convert the length of the list of Bfactors from an integer to a float before division into the sum.') cmd.do('averageB Uses a regular list as opposed to PyMOL"s stored list. Edit the selection as needed.') cmd.do('bs Ball and stick representation.') cmd.do('bu Biological unit.') cmd.do('carvedDensity Carved electron density.') cmd.do('cblind Color blindness.') cmd.do('centerpi Center pi.') cmd.do('coordinate Coordinate covalent bonds to metals and H-bonds friom RNA.') cmd.do('cribbon Color ribbon H red, strand yellow, loop green.') cmd.do('cspheres Colored spheres.') cmd.do('discreteCartoonColoring Turn on discrete colors between secondary structure elements.') cmd.do('distance H-bond distances.') cmd.do('doubleBond Valence bond.') cmd.do('drawHbonds Draw H-bonds.') cmd.do('duplicateObject Duplicate object.') cmd.do('ellipcol Set ellipsoid color.') cmd.do('extractPartObj Create a new object from part of an existing object.') cmd.do('fasta Print Fasta from PDB file.') cmd.do('fetch2FoFc Fetch 2FoFc map.') cmd.do('fetchCIF Fetch cif file.') cmd.do('fetchFoFc Fetch fofc map.') cmd.do('fetchPath Set path for location to save fetched pdb files.') cmd.do('filledRing Filled rings in nucleic acids.') cmd.do('findHbonds Find hbonds around a residue.') cmd.do('fog Blur the background atoms.') cmd.do('getCoordinates Get coordinates.') cmd.do('hbond Hbond setup.') cmd.do('hbonddash H-bond dashes.') cmd.do('hideSelection Trun off magenta squares on current selection.') cmd.do('hidealtloc Hide alt loc.') cmd.do('internalGUImode2 Makes the background of the internal gui transparent with the viewport extended into this region of the gui. This may be a useful mode for workshops.') cmd.do('internalGUIwidth Set the width of the internal gui.') cmd.do('labelCAs Label the CA atoms with the Ala333 style format') cmd.do('labelMainChain Label the main chain atoms by resn,resi,atom name.') cmd.do('labelResnResi Label CA atom with residue name and residue number.') cmd.do('labelSS Label SS.') cmd.do('labelWatersHOH Label waters HOH.') cmd.do('labelWatersW Label waters W.') cmd.do('loadPDBbs Load PDB ball-and-stick.') cmd.do('loadPDBfile Load a pdb file in the current directory.') cmd.do('loadPDBnb Load PDB nb spheres.') cmd.do('lsSnips List all snips by tab trigger and description') cmd.do('lspymolrc Print list of active pymolrc files.') cmd.do('molscriptRibbon Molscript ribbons.') cmd.do('ms Measure surface area.') cmd.do('oneLetter One letter amino acid.') cmd.do('pearl The pearl effect is made with two spheres with the outer sphere being transparent.') cmd.do('printBs Print the B-factors of a residue.') cmd.do('printBs2digits Print B-values for a residue with the B"s rounded off to two decimal places.') cmd.do('printBspartB Print B factors of part B of a rsidues.') cmd.do('printDoc Print document string of a function.') cmd.do('printNameB4ResiX Print name and b-factor for a rsidue. You can change this to a named selection or a residue range ( e.g., resi 133:155). Use the noH variant if H atoms are present.') cmd.do('printResiResnNameB4ResiX Print resn, resi, atom name, and b-factor.') cmd.do('printResiResnNameB4ResiXNoH Print name and b-factor for a rsidue. You can change this to a named selection or a residue range ( e.g., resi 133:155). The noH variant.') cmd.do('pseudolabel Position label with pseudoatom.') cmd.do('puttyCartoon Create a putty cartoon.') cmd.do('ringMode Set the ring mode to a value between 0 and 6 in cartoons of nucleic acids.') cmd.do('rmwater Remove waters from molecular object.') cmd.do('rotate Rotate about axis.') cmd.do('rv Return settings in rounded format.') cmd.do('savePNG Save a png file of current scene to the current directory.') cmd.do('saxsEnvelope Display SAXS envelope') cmd.do('sc111 Display all symmetry mates in one unit cell. Asumes supercell.py (sse PyMOL Wiki) is in $HOME/Scripts/PyMOLscripts/.') cmd.do('sc222 Run Tom Holder"s supercell script to generate three cells in all directions.') cmd.do('scaleRadiusColor Scale the radius and color of atoms as spheres by property in the B-value column.') cmd.do('selectAllBut Select all nitrogen atom in a selelction except from lysine.') cmd.do('selectAtomsAround Select atoms within a radius around a ligand.') cmd.do('selectChain Select a chain.') cmd.do('selectElement Select atoms by elemnt.') cmd.do('selectHelices Select atoms by alpha helices.') cmd.do('selectLoops Select atoms by beta loops.') cmd.do('selectName Select atoms by name.') cmd.do('selectResi Select residues by a range of numbers.') cmd.do('selectResidues Select residues by name.') cmd.do('selectResiduesAround Select residues within a radius around a ligand.') cmd.do('selectStrands Select atoms by beta strands.') cmd.do('setcolor Set color name to a RGB code.') cmd.do('setpath Set additional path for PyMOL to search on startup') cmd.do('sidehChainHelper In cartoons, hide the backbone atoms of selected residues when showing then as sticks.') cmd.do('sigDigits Set number of decimals places to show in distance labels.') cmd.do('sigang Set angle labels to display 2 decimals places') cmd.do('sigdist set distance labels to display 2 decimals') cmd.do('solventRadius Set radius of ball used to make solvent accessible surface.') cmd.do('spng Save png flle with timestamp') cmd.do('spse Save pse flle with timestamp') cmd.do('stack Base-stacking figure.') cmd.do('stereoDraw Stereo draw.') cmd.do('stereoRay Stereo ray.') cmd.do('threeMaps Three electron density.') cmd.do('turnAboutAxis Turn about axis.') cmd.do('undoSelection Undo a selection.') cmd.do('volumeRamp Volume ramp.') cmd.do('writeCommandReference2HTML Write the command reference to html file in the present working directory."""') """ cmd.do('"""Tab trigger Description') cmd.do('--------------------------- --------------------------------------------------------------------------------------------------------------------------------------------------------------------') cmd.do('antialias Set antialias to get smooth edges') cmd.do('ao Ambient occlussion.') cmd.do('aveB4resiX AveBResiX, prints the resiude number and the average bfactor.') cmd.do(' Uses reduce and lambda, builtin Python functional porgramming functions.') cmd.do(' Note that you need to convert the length of the list of Bfactors from an integer to a float before division into the sum.') cmd.do('averageB Uses a regular list as opposed to PyMOL"s stored list. Edit the selection as needed.') cmd.do('bs Ball and stick representation.') cmd.do('bu Biological unit.') cmd.do('carvedDensity Carved electron density.') cmd.do('cblind Color blindness.') cmd.do('centerpi Center pi.') cmd.do('coordinate Coordinate covalent bonds to metals and H-bonds friom RNA.') cmd.do('cribbon Color ribbon H red, strand yellow, loop green.') cmd.do('cspheres Colored spheres.') cmd.do('discreteCartoonColoring Turn on discrete colors between secondary structure elements.') cmd.do('distance H-bond distances.') cmd.do('doubleBond Valence bond.') cmd.do('drawHbonds Draw H-bonds.') cmd.do('duplicateObject Duplicate object.') cmd.do('ellipcol Set ellipsoid color.') cmd.do('extractPartObj Create a new object from part of an existing object.') cmd.do('fasta Print Fasta from PDB file.') cmd.do('fetch2FoFc Fetch 2FoFc map.') cmd.do('fetchCIF Fetch cif file.') cmd.do('fetchFoFc Fetch fofc map.') cmd.do('fetchPath Set path for location to save fetched pdb files.') cmd.do('filledRing Filled rings in nucleic acids.') cmd.do('findHbonds Find hbonds around a residue.') cmd.do('fog Blur the background atoms.') cmd.do('getCoordinates Get coordinates.') cmd.do('hbond Hbond setup.') cmd.do('hbonddash H-bond dashes.') cmd.do('hideSelection Trun off magenta squares on current selection.') cmd.do('hidealtloc Hide alt loc.') cmd.do('internalGUImode2 Makes the background of the internal gui transparent with the viewport extended into this region of the gui. This may be a useful mode for workshops.') cmd.do('internalGUIwidth Set the width of the internal gui.') cmd.do('labelCAs Label the CA atoms with the Ala333 style format') cmd.do('labelMainChain Label the main chain atoms by resn,resi,atom name.') cmd.do('labelResnResi Label CA atom with residue name and residue number.') cmd.do('labelSS Label SS.') cmd.do('labelWatersHOH Label waters HOH.') cmd.do('labelWatersW Label waters W.') cmd.do('loadPDBbs Load PDB ball-and-stick.') cmd.do('loadPDBfile Load a pdb file in the current directory.') cmd.do('loadPDBnb Load PDB nb spheres.') cmd.do('lsSnips List all snips by tab trigger and description') cmd.do('lspymolrc Print list of active pymolrc files.') cmd.do('molscriptRibbon Molscript ribbons.') cmd.do('ms Measure surface area.') cmd.do('oneLetter One letter amino acid.') cmd.do('pearl The pearl effect is made with two spheres with the outer sphere being transparent.') cmd.do('printBs Print the B-factors of a residue.') cmd.do('printBs2digits Print B-values for a residue with the B"s rounded off to two decimal places.') cmd.do('printBspartB Print B factors of part B of a rsidues.') cmd.do('printDoc Print document string of a function.') cmd.do('printNameB4ResiX Print name and b-factor for a rsidue. You can change this to a named selection or a residue range ( e.g., resi 133:155). Use the noH variant if H atoms are present.') cmd.do('printResiResnNameB4ResiX Print resn, resi, atom name, and b-factor.') cmd.do('printResiResnNameB4ResiXNoH Print name and b-factor for a rsidue. You can change this to a named selection or a residue range ( e.g., resi 133:155). The noH variant.') cmd.do('pseudolabel Position label with pseudoatom.') cmd.do('puttyCartoon Create a putty cartoon.') cmd.do('ringMode Set the ring mode to a value between 0 and 6 in cartoons of nucleic acids.') cmd.do('rmwater Remove waters from molecular object.') cmd.do('rotate Rotate about axis.') cmd.do('rv Return settings in rounded format.') cmd.do('savePNG Save a png file of current scene to the current directory.') cmd.do('saxsEnvelope Display SAXS envelope') cmd.do('sc111 Display all symmetry mates in one unit cell. Asumes supercell.py (sse PyMOL Wiki) is in $HOME/Scripts/PyMOLscripts/.') cmd.do('sc222 Run Tom Holder"s supercell script to generate three cells in all directions.') cmd.do('scaleRadiusColor Scale the radius and color of atoms as spheres by property in the B-value column.') cmd.do('selectAllBut Select all nitrogen atom in a selelction except from lysine.') cmd.do('selectAtomsAround Select atoms within a radius around a ligand.') cmd.do('selectChain Select a chain.') cmd.do('selectElement Select atoms by elemnt.') cmd.do('selectHelices Select atoms by alpha helices.') cmd.do('selectLoops Select atoms by beta loops.') cmd.do('selectName Select atoms by name.') cmd.do('selectResi Select residues by a range of numbers.') cmd.do('selectResidues Select residues by name.') cmd.do('selectResiduesAround Select residues within a radius around a ligand.') cmd.do('selectStrands Select atoms by beta strands.') cmd.do('setcolor Set color name to a RGB code.') cmd.do('setpath Set additional path for PyMOL to search on startup') cmd.do('sidehChainHelper In cartoons, hide the backbone atoms of selected residues when showing then as sticks.') cmd.do('sigDigits Set number of decimals places to show in distance labels.') cmd.do('sigang Set angle labels to display 2 decimals places') cmd.do('sigdist set distance labels to display 2 decimals') cmd.do('solventRadius Set radius of ball used to make solvent accessible surface.') cmd.do('spng Save png flle with timestamp') cmd.do('spse Save pse flle with timestamp') cmd.do('stack Base-stacking figure.') cmd.do('stereoDraw Stereo draw.') cmd.do('stereoRay Stereo ray.') cmd.do('threeMaps Three electron density.') cmd.do('turnAboutAxis Turn about axis.') cmd.do('undoSelection Undo a selection.') cmd.do('volumeRamp Volume ramp.') cmd.do('writeCommandReference2HTML Write the command reference to html file in the present working directory."""')

78.429268

203

0.581167

1,967

16,078

4.750381

0.207931

0.10595

0.013913

0.00899

0.997003

0.992937

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0.006171

0.314654

16,078

204

78.813725

0.841819

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1

0

0.040404

0.859362

0.039967

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null

0

null

0.080808

0

null

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1

0

1

0

1

0

null

0

1

0

9

aac7dbfb66184565b1385fd5ab8b4051592b2949

158

py

Python

gym_rock_paper_scissors/envs/__init__.py

kyuhyoung/gym-rock-paper-scissors

f527c9f0835193008f04575bca1b63a815c44c8a

[ "MIT" ]

5

2020-02-17T16:29:22.000Z

2022-01-24T15:42:49.000Z

gym_rock_paper_scissors/envs/__init__.py

kyuhyoung/gym-rock-paper-scissors

f527c9f0835193008f04575bca1b63a815c44c8a

[ "MIT" ]

1

2019-01-15T16:09:36.000Z

gym_rock_paper_scissors/envs/__init__.py

kyuhyoung/gym-rock-paper-scissors

f527c9f0835193008f04575bca1b63a815c44c8a

[ "MIT" ]

3

2019-01-09T09:44:54.000Z

2021-09-06T01:04:25.000Z

from gym_rock_paper_scissors.envs.rock_paper_scissors_env import RockPaperScissorsEnv from gym_rock_paper_scissors.envs.rock_paper_scissors_env import Action

52.666667

85

0.924051

24

158

5.583333

0.416667

0.268657

0.507463

0.238806

0.80597

0

0.050633

158

2

86

79

0.893333

0

1

0

true

0

1

0

1

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1

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null

1

0

1

0

null

0

1

0

1

0

1

0

14

2ab604647bc9df25816461629b74d3d51fe8c25e

10,570

py

Python

test/integration_tests/test_web_cli_e2e.py

babatana/stograde

c1c447e99c44c23cef9dd857e669861f3708ae77

[ "MIT" ]

null

test/integration_tests/test_web_cli_e2e.py

babatana/stograde

c1c447e99c44c23cef9dd857e669861f3708ae77

[ "MIT" ]

null

test/integration_tests/test_web_cli_e2e.py

babatana/stograde

c1c447e99c44c23cef9dd857e669861f3708ae77

[ "MIT" ]

null

import os import sys from unittest import mock import pytest from stograde.common import chdir from stograde.toolkit.__main__ import main from stograde.webapp import server _dir = os.path.dirname(os.path.realpath(__file__)) @pytest.mark.datafiles(os.path.join(_dir, 'fixtures', 'web_tests')) def test_stograde_web_student_menu(datafiles, capsys): args = [sys.argv[0]] + ['web', '--port', '1500', 'hw2', '--skip-repo-update', '--skip-spec-update', '--skip-version-check', '--skip-dependency-check'] with chdir(str(datafiles)): with mock.patch('stograde.webapp.web_cli.prompt') as mock_prompt: with mock.patch('sys.argv', args): mock_prompt.side_effect = [] try: main() raise AssertionError except StopIteration: pass assert mock_prompt.call_args[0][0][0] == { 'type': 'list', 'name': 'student', 'message': 'Choose student', 'choices': ['QUIT', 'student6', 'student7 NO SUBMISSION', 'student8'], } assert mock_prompt.call_count == 1 out, _ = capsys.readouterr() assert out == 'Loading repos. Please wait...\n' @pytest.mark.datafiles(os.path.join(_dir, 'fixtures', 'web_tests')) def test_stograde_web_student_menu_blank(datafiles, capsys): args = [sys.argv[0]] + ['web', '--port', '1501', 'hw2', '--skip-repo-update', '--skip-spec-update', '--skip-version-check', '--skip-dependency-check'] with chdir(str(datafiles)): with mock.patch('stograde.webapp.web_cli.prompt') as mock_prompt: with mock.patch('sys.argv', args): mock_prompt.side_effect = [None] main() assert mock_prompt.call_count == 1 out, _ = capsys.readouterr() assert out == 'Loading repos. Please wait...\n' @pytest.mark.datafiles(os.path.join(_dir, 'fixtures', 'web_tests')) def test_stograde_web_student_menu_quit(datafiles, capsys): args = [sys.argv[0]] + ['web', '--port', '1502', 'hw2', '--skip-repo-update', '--skip-spec-update', '--skip-version-check', '--skip-dependency-check'] with chdir(str(datafiles)): with mock.patch('stograde.webapp.web_cli.prompt') as mock_prompt: with mock.patch('sys.argv', args): mock_prompt.side_effect = [{'student': 'QUIT'}] main() assert mock_prompt.call_count == 1 out, _ = capsys.readouterr() assert out == 'Loading repos. Please wait...\n' @pytest.mark.datafiles(os.path.join(_dir, 'fixtures', 'web_tests')) def test_stograde_web_student_menu_student_no_submission(datafiles, capsys): args = [sys.argv[0]] + ['web', '--port', '1503', 'hw2', '--skip-repo-update', '--skip-spec-update', '--skip-version-check', '--skip-dependency-check'] with chdir(str(datafiles)): with mock.patch('stograde.webapp.web_cli.prompt') as mock_prompt: with mock.patch('sys.argv', args): mock_prompt.side_effect = [{'student': 'student7 NO SUBMISSION'}] try: main() raise AssertionError except StopIteration: pass assert mock_prompt.call_args[0][0][0] == { 'type': 'list', 'name': 'student', 'message': 'Choose student', 'choices': ['QUIT', 'student6', 'student7 NO SUBMISSION', 'student8'], } assert mock_prompt.call_count == 2 out, _ = capsys.readouterr() assert out == 'Loading repos. Please wait...\n' @pytest.mark.datafiles(os.path.join(_dir, 'fixtures', 'web_tests')) def test_stograde_web_file_menu(datafiles, capsys): args = [sys.argv[0]] + ['web', '--port', '1504', 'hw2', '--skip-repo-update', '--skip-spec-update', '--skip-version-check', '--skip-dependency-check'] with chdir(str(datafiles)): with mock.patch('stograde.webapp.web_cli.prompt') as mock_prompt: with mock.patch('sys.argv', args): mock_prompt.side_effect = [{'student': 'student6'}] try: main() raise AssertionError except StopIteration: pass assert mock_prompt.call_args[0][0][0] == { 'type': 'list', 'name': 'file', 'message': 'Choose file', 'choices': ['BACK', 'second.cpp', 'third.cpp'], } assert mock_prompt.call_count == 2 out, _ = capsys.readouterr() assert out == 'Loading repos. Please wait...\nProcessing...\n' @pytest.mark.datafiles(os.path.join(_dir, 'fixtures', 'web_tests')) def test_stograde_web_file_menu_missing_files(datafiles, capsys): args = [sys.argv[0]] + ['web', '--port', '1505', 'hw2', '--skip-repo-update', '--skip-spec-update', '--skip-version-check', '--skip-dependency-check'] with chdir(str(datafiles)): with mock.patch('stograde.webapp.web_cli.prompt') as mock_prompt: with mock.patch('sys.argv', args): mock_prompt.side_effect = [{'student': 'student8'}] try: main() raise AssertionError except StopIteration: pass assert mock_prompt.call_args[0][0][0] == { 'type': 'list', 'name': 'file', 'message': 'Choose file', 'choices': ['BACK', 'second.cpp MISSING', 'third.cpp MISSING (OPTIONAL)'], } assert mock_prompt.call_count == 2 out, _ = capsys.readouterr() assert out == 'Loading repos. Please wait...\nProcessing...\n' @pytest.mark.datafiles(os.path.join(_dir, 'fixtures', 'web_tests')) def test_stograde_web_file_menu_back(datafiles, capsys): args = [sys.argv[0]] + ['web', '--port', '1506', 'hw2', '--skip-repo-update', '--skip-spec-update', '--skip-version-check', '--skip-dependency-check'] with chdir(str(datafiles)): with mock.patch('stograde.webapp.web_cli.prompt') as mock_prompt: with mock.patch('sys.argv', args): mock_prompt.side_effect = [{'student': 'student6'}, {'file': 'BACK'}] try: main() raise AssertionError except StopIteration: pass assert mock_prompt.call_args[0][0][0] == { 'type': 'list', 'name': 'student', 'message': 'Choose student', 'choices': ['QUIT', 'student6', 'student7 NO SUBMISSION', 'student8'], } assert mock_prompt.call_count == 3 out, _ = capsys.readouterr() assert out == 'Loading repos. Please wait...\nProcessing...\n' @pytest.mark.datafiles(os.path.join(_dir, 'fixtures', 'web_tests')) def test_stograde_web_file_menu_blank(datafiles, capsys): args = [sys.argv[0]] + ['web', '--port', '1507', 'hw2', '--skip-repo-update', '--skip-spec-update', '--skip-version-check', '--skip-dependency-check'] with chdir(str(datafiles)): with mock.patch('stograde.webapp.web_cli.prompt') as mock_prompt: with mock.patch('sys.argv', args): mock_prompt.side_effect = [{'student': 'student6'}, None] try: main() raise AssertionError except StopIteration: pass assert mock_prompt.call_args[0][0][0] == { 'type': 'list', 'name': 'student', 'message': 'Choose student', 'choices': ['QUIT', 'student6', 'student7 NO SUBMISSION', 'student8'], } assert mock_prompt.call_count == 3 out, _ = capsys.readouterr() assert out == 'Loading repos. Please wait...\nProcessing...\n' @pytest.mark.datafiles(os.path.join(_dir, 'fixtures', 'web_tests')) def test_stograde_web_file_menu_file(datafiles, capsys): args = [sys.argv[0]] + ['web', '--port', '1508', 'hw2', '--skip-repo-update', '--skip-spec-update', '--skip-version-check', '--skip-dependency-check'] with chdir(str(datafiles)): with mock.patch('stograde.webapp.web_cli.prompt') as mock_prompt: with mock.patch('sys.argv', args): mock_prompt.side_effect = [{'student': 'student6'}, {'file': 'second.cpp'}] assert server.work_dir == '.' try: main() raise AssertionError except StopIteration: pass assert mock_prompt.call_args[0][0][0] == { 'type': 'list', 'name': 'file', 'message': 'Choose file', 'choices': ['BACK', 'second.cpp', 'third.cpp'], } assert mock_prompt.call_count == 3 assert server.work_dir != '.' out, _ = capsys.readouterr() assert out == 'Loading repos. Please wait...\nProcessing...\n' @pytest.mark.datafiles(os.path.join(_dir, 'fixtures', 'web_tests')) def test_stograde_web_not_web_spec(datafiles, capsys): args = [sys.argv[0]] + ['web', '--port', '1509', 'hw1', '--skip-repo-update', '--skip-spec-update', '--skip-version-check', '--skip-dependency-check'] with chdir(str(datafiles)): try: with mock.patch('sys.argv', args): main() raise AssertionError except SystemExit: pass out, _ = capsys.readouterr() assert out == 'No web files in assignment hw1\n'

38.297101

94

0.509934

1,064

10,570

4.915414

0.100564

0.06501

0.047228

0.061185

0.910899

0.905545

0.900765

0.861759

0.848757

0

0.015663

0.341627

10,570

275

95

38.436364

0.735882

0

0.771028

0

0.243141

0.058657

0

0.168224

1

0.046729

false

0.037383

0.03271

0

0.079439

0

null

0

1

0

1

0

null

0

7

2aeb3bf179dfb29a08f6c9294819616464c9f038

1,813

py

Python

ai-lab/envs/maze_env.py

GiacomoFerro/ai-lab-2019

0483f2138d6ab9f0d62a983f676640e04b333469

[ "MIT" ]

6

2020-03-25T07:58:24.000Z

2021-12-26T05:53:32.000Z

ai-lab/envs/maze_env.py

GiacomoFerro/ai-lab-2019

0483f2138d6ab9f0d62a983f676640e04b333469

[ "MIT" ]

2

2020-03-20T18:10:49.000Z

2021-11-29T12:27:51.000Z

ai-lab/envs/maze_env.py

GiacomoFerro/ai-lab-2019

0483f2138d6ab9f0d62a983f676640e04b333469

[ "MIT" ]

3

2022-02-03T16:40:08.000Z

2022-02-06T17:28:11.000Z

from envs.obsgrid_env import ObsGrid class SmallMazeEnv(ObsGrid): """ Small fully observable maze environment with deterministic actions """ def __init__(self): actions = {0: "L", 1: "R", 2: "U", 3: "D"} grid = [ ["C", "C", "S", "C"], ["C", "C", "W", "C"], ["C", "C", "C", "C"], ["C", "W", "W", "W"], ["C", "C", "C", "G"] ] rewards = {"C": 0, "S": 0, "G": 1} actdyn = {0: {0: 1.0}, 1: {1: 1.0}, 2: {2: 1.0}, 3: {3: 1.0}} super().__init__(actions, grid, actdyn, rewards) class GrdMazeEnv(ObsGrid): """ Small fully observable maze environment with deterministic actions where greedy search is optimal and expands less states than A* """ def __init__(self): actions = {0: "L", 1: "R", 2: "U", 3: "D"} grid = [ ["C", "C", "C", "S"], ["C", "C", "W", "C"], ["C", "C", "C", "C"], ["C", "W", "W", "W"], ["C", "C", "C", "G"] ] rewards = {"C": 0, "S": 0, "G": 1} actdyn = {0: {0: 1.0}, 1: {1: 1.0}, 2: {2: 1.0}, 3: {3: 1.0}} super().__init__(actions, grid, actdyn, rewards) class BlockedMazeEnv(ObsGrid): """ Small fully observable maze environment with deterministic actions where a solution does not exist """ def __init__(self): actions = {0: "L", 1: "R", 2: "U", 3: "D"} grid = [ ["C", "C", "S", "C"], ["C", "C", "W", "C"], ["C", "C", "C", "C"], ["C", "C", "W", "W"], ["C", "C", "W", "G"] ] rewards = {"C": 0, "S": 0, "G": 1} actdyn = {0: {0: 1.0}, 1: {1: 1.0}, 2: {2: 1.0}, 3: {3: 1.0}} super().__init__(actions, grid, actdyn, rewards)

31.807018

118

0.405957

245

1,813

2.902041

0.208163

0.084388

0.075949

0.056259

0.800281

0.797468

0.793249

0.700422

0

0.058081

0.344732

1,813

56

119

32.375

0.540404

0.162714

0

0.75

0

0.055177

0

1

0.075

false

0

0.025

0

0.175

0

null

0

1

0

1

0

null

0

7

631c169c21eb0be5ac8947cfe49dd81343dcb21f

27,200

py

Python

DIKB/evidence-entry-audit-trail.py

dbmi-pitt/DIKB-Evidence-analytics

9ffd629db30c41ced224ff2afdf132ce9276ae3f

[ "MIT" ]

3

2015-06-08T17:58:54.000Z

2022-03-10T18:49:44.000Z

DIKB/evidence-entry-audit-trail.py

dbmi-pitt/DIKB-Evidence-analytics

9ffd629db30c41ced224ff2afdf132ce9276ae3f

[ "MIT" ]

null

DIKB/evidence-entry-audit-trail.py

dbmi-pitt/DIKB-Evidence-analytics

9ffd629db30c41ced224ff2afdf132ce9276ae3f

[ "MIT" ]

null

# # ### an audit trail of evidence entries from command line # # from DIKB_Utils import * # # from DIKB import * # # from DrugModel import * # # from EvidenceModel import * # # ev = EvidenceBase("evidence","123") # # dikb = DIKB("dikb","123", ev) # # dikb.unpickleKB("../var/DIKB/dikb.pickle") # # ev.unpickleKB("../var/evidence-base/ev.pickle") # # ev.renotifyObservers() # # ''' # # a = ContValAssertion("erythromycin","increases_auc","midazolam") # # e1 = PKStudy() # # e1.create("10579141","midazolam: 15mg po; erythromycin 500 mg tidx7 d, po; change in AUC: 220", "rct1", "boycer", "01302006", 15.0, 500.0, 2.2) # # a.insertEvidence("for", e1) # # ev.addAssertion(a) # # ev.objects["erythromycin_increases_auc_midazolam"].ready_for_classification = True # # dikb.pickleKB("../var/DIKB/dikb.pickle") # # ev.pickleKB("../var/evidence-base/ev.pickle") # # a = ContValAssertion("diltiazem","increases_auc","midazolam") # # e1 = PKStudy() # # e1.create("10579141","midazolam: 15mg po; diltiazem 60 mg tidx3 d, po; change in AUC: 380", "rct1", "boycer", "01302006", 15, 60.0, 3.8) # # a.insertEvidence("for", e1) # # ev.addAssertion(a) # # ev.objects["diltiazem_increases_auc_midazolam"].ready_for_classification = True # # dikb.pickleKB("../var/DIKB/dikb.pickle") # # ev.pickleKB("../var/evidence-base/ev.pickle") # # ''' # # # # # a = ContValAssertion("itraconazole", "increases_auc" ,"midazolam") # # e1 = PKStudy() # # e1.create("8181191", "# volunteers: 9; midazolam: 7.5mg po; itraconazole 200mg tidx4 d, po; change in AUC: 10-15", "rct1","boycer", "01312006" , 7.5, 200, 15) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["itraconazole_increases_auc_midazolam"].ready_for_classification = True # # # # # a = ContValAssertion("itraconazole", "increases_auc" ,"midazolam") # # e1 = PKStudy() # # e1.create("8527290", "#volunteers: 20; midazolam: 7.5mg po; itraconazole 100mg tidx d, po; change in AUC: 6-fold", "rct1","boycer", "01312006" , 7.5, 100, 6) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # # # # a = ContValAssertion("itraconazole", "increases_auc" ,"midazolam") # # e1 = PKStudy() # # e1.create("8623953", "#volunteers: 12; midazolam: 7.5mg po; itraconazole 200mg tidx 6d, po; change in AUC: 3.5-7 fold", "rct1","boycer", "01312006" ,7.5, 200, 7.0) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # # # # a = ContValAssertion("ketoconazole", "increases_auc" ,"midazolam") # # e1 = PKStudy() # # e1.create("8181191", "#volunteers: 9; midazolam: 7.5mg po; ketoconazole 400mg tidx 4d, po; change in AUC: 10-15", "rct1","boycer", "01312006" , 7.5, 400, 15) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["ketoconazole_increases_auc_midazolam"].ready_for_classification = True # # # # # a = ContValAssertion("itraconazole", "increases_auc" ,"alprazolam") # # e1 = PKStudy() # # e1.create("9784084", "#volunteers: 10; alprazolam: .8mg po; itraconazole 200mg tidx 6d, po; change in AUC: 1.6", "rct1","boycer", "01312006", .8, 200, 1.6) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["itraconazole_increases_auc_alprazolam"].ready_for_classification = True # # # # # a = ContValAssertion("itraconazole", "increases_auc" ,"triazolam") # # e1 = PKStudy() # # e1.create("7995001", "#volunteers: 9; triazolam: .25mg po; itraconazole 200mg tidx 4d, po; change in AUC: 26", "rct1","boycer", "01312006", .25, 200, 26) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["itraconazole_increases_auc_triazolam"].ready_for_classification = True # # # # # a = ContValAssertion("itraconazole", "increases_auc" ,"triazolam") # # e1 = PKStudy() # # e1.create("8841155", "#volunteers: 10; triazolam: .25mg po; itraconazole 200mg tidx 1d, po; change in AUC: 2.6", "rct1","boycer", "01312006", .25, 200, 2.6) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["itraconazole_increases_auc_triazolam"].ready_for_classification = True # # # # # a = ContValAssertion("itraconazole", "increases_auc" ,"simvastatin") # # e1 = PKStudy() # # e1.create("9542477", "#volunteers: 10; simvastatin: 40mg po; itraconazole 200mg tidx 4d, po; change in AUC: 10", "rct1","boycer", "01312006", 40, 200, 10) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["itraconazole_increases_auc_simvastatin"].ready_for_classification = True # # # # # a = ContValAssertion("itraconazole", "increases_auc" ,"lovastatin") # # e1 = PKStudy() # # e1.create("8689812", "#volunteers: 12; lovastatin: 40mg po; itraconazole 200mg tidx 4d, po; change in AUC: 35", "rct1","boycer", "01312006", 40,200 , 35 ) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["itraconazole_increases_auc_lovastatin"].ready_for_classification = True # # # # # a = ContValAssertion("itraconazole", "increases_auc" ,"lovastatin") # # e1 = PKStudy() # # e1.create("9690949", "#volunteers: 10; lovastatin: 40mg po; itraconazole 100mg tidx 4d, po; change in AUC: 13.8", "rct1","boycer", "01312006",40 ,100 ,13.8) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["itraconazole_increases_auc_lovastatin"].ready_for_classification = True # # # # # a = ContValAssertion("itraconazole", "increases_auc" ,"fluvastatin") # # e1 = PKStudy() # # e1.create("9690949", "(as summarized in UW DIDB) #volunteers: 10; fluvastatin: 40mg po; itraconazole 100mg tidx 4d, po; change in AUC: 13.6", "rct1","boycer", "01312006", 40, 100, 13.6) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["itraconazole_increases_auc_fluvastatin"].ready_for_classification = True # # # # # a = ContValAssertion("itraconazole", "increases_auc" ,"atorvastatin") # # e1 = PKStudy() # # e1.create("11061579", "#volunteers: 18; atorvastatin: 20mg po; itraconazole 200mg tidx 5d, po; change in AUC: 150%", "rct1","boycer", "01312006", 20, 200, 1.5) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["itraconazole_increases_auc_atorvastatin"].ready_for_classification = True # # # # # a = ContValAssertion("itraconazole", "increases_auc" ,"pravastatin") # # e1 = PKStudy() # # e1.create("11061579", "#volunteers: 18; pravastatin: 40mg po; itraconazole 200mg tidx 5d, po; change in AUC: 51%", "rct1","boycer", "01312006", 40, 200, .5) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["itraconazole_increases_auc_pravastatin"].ready_for_classification = True # # # # # a = ContValAssertion("itraconazole", "increases_auc" ,"pravastatin") # # e1 = PKStudy() # # e1.create("9542477", "#volunteers: 10; pravastatin: 40mg po; itraconazole 200mg tidx 4d, po; change in AUC: 71.6%", "rct1","boycer", "01312006", 40, 200, .7) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["itraconazole_increases_auc_pravastatin"].ready_for_classification = True # # # # # a = ContValAssertion("itraconazole", "increases_auc" ,"rosuvastatin") # # e1 = PKStudy() # # e1.create("12709722", "#volunteers: 14; rosuvastatin: 80mg po; itraconazole 200mg tidx 5d, po; change in AUC: 26.4%", "rct1","boycer", "01312006", 80,200 , .26 ) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["itraconazole_increases_auc_rosuvastatin"].ready_for_classification = True # # # # # a = ContValAssertion("itraconazole", "increases_auc" ,"rosuvastatin") # # e1 = PKStudy() # # e1.create("12709722", "#volunteers: 12; rosuvastatin: 10mg po; itraconazole 200mg tidx 5d, po; change in AUC: .37.3%", "rct1","boycer", "01312006", 10,200 , .37) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["itraconazole_increases_auc_rosuvastatin"].ready_for_classification = True # # # # # a = ContValAssertion("erythromycin", "increases_auc" ,"alprazolam") # # e1 = PKStudy() # # e1.create("8646822", "#volunteers: 12; alprazolam: 0.8mg po; erythromycin 400mg tidx d, po; change in AUC: 147.2% ", "rct1","boycer", "01312006", .8, 400, 1.47) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["erythromycin_increases_auc_alprazolam"].ready_for_classification = True # # # # # a = ContValAssertion("erythromycin", "increases_auc" ,"triazolam") # # e1 = PKStudy() # # e1.create("3771812", "#volunteers: 16; triazolam: 0.5mg po; erythromycin 333mg tidx 3d, po; change in AUC: 106% ", "rct1","boycer", "01312006", 0.5, 333, 1.06) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["erythromycin_increases_auc_triazolam"].ready_for_classification = True # # # # # a = ContValAssertion("erythromycin", "increases_auc" ,"triazolam") # # e1 = PKStudy() # # e1.create("9757151", "#volunteers: 12; triazolam: .125mg po; erythromycin 500mg tidx 2d, po; change in AUC: 280%", "rct1","boycer", "01312006", .125, 500, 2.8) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["erythromycin_increases_auc_triazolam"].ready_for_classification = True # # # # # a = ContValAssertion("erythromycin", "increases_auc" ,"simvastatin") # # e1 = PKStudy() # # e1.create("9728898", "(as summarized in UW DIDB) #volunteers: 12; simvastatin: 40mg po; erythromycin 500mg tidx 2d, po; change in AUC: 521.5%", "rct1","boycer", "01312006", 40, 500, 5.22) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["erythromycin_increases_auc_simvastatin"].ready_for_classification = True # # # # # a = ContValAssertion("erythromycin", "increases_auc" ,"atorvastatin") # # e1 = PKStudy() # # e1.create("10234598", "(as summarized in UW DIDB) #volunteers: 11; atorvastatin: 10mg po; erythromycin 500mg tidx 11d, po; change in AUC: 32.5%", "rct1","boycer", "01312006", 10, 500, .33) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["erythromycin_increases_auc_atorvastatin"].ready_for_classification = True # # # # # a = ContValAssertion("ketoconazole", "increases_auc" ,"alprazolam") # # e1 = PKStudy() # # e1.create("9757147", "(as summarized in UW DIDB) #volunteers: 7; alprazolam: 1mg po; ketoconazole 200mg tidx 4d, po; change in AUC: 298.3% ", "rct1","boycer", "01312006",1 ,200 , 2.98 ) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["ketoconazole_increases_auc_alprazolam"].ready_for_classification = True # # # # # a = ContValAssertion("ketoconazole", "increases_auc" ,"alprazolam") # # e1 = PKStudy() # # e1.create("10634135", "(as summarized in UW DIDB) #volunteers: 4; alprazolam: 1mg po; ketoconazole 200mg tidx 2d, po; change in AUC: 76% ", "rct1","boycer", "01312006", 1, 200, .76) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["ketoconazole_increases_auc_alprazolam"].ready_for_classification = True # # # # # a = ContValAssertion("ketoconazole", "increases_auc" ,"triazolam") # # e1 = PKStudy() # # e1.create("9757147", "(as summarized in UW DIDB) #volunteers: 6; triazolam: .25mg po; ketoconazole 200mg tidx 4d, po; change in AUC: 1271.7%", "rct1","boycer", "01312006", .25 , 200 , 12.7 ) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["ketoconazole_increases_auc_triazolam"].ready_for_classification = True # # # # # a = ContValAssertion("fluconazole", "increases_auc" ,"triazolam") # # e1 = PKStudy() # # e1.create("8904618", "(as summarized in UW DIDB) #volunteers: 8; triazolam: .25mg po; fluconazole 100mg tidx 4d, po; change in AUC: 105.4%", "rct1","boycer", "01312006", .25,100 , 1.05) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["fluconazole_increases_auc_triazolam"].ready_for_classification = True # # # # # a = ContValAssertion("fluconazole", "increases_auc" ,"triazolam") # # e1 = PKStudy() # # e1.create("8904618", "(as summarized in UW DIDB) #volunteers: 8; triazolam: .25mg po; fluconazole 200mg tidx 4d, po; change in AUC: 342.4%", "rct1","boycer", "01312006", .25, 200, 3.42) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["fluconazole_increases_auc_triazolam"].ready_for_classification = True # # # # # a = ContValAssertion("fluconazole", "increases_auc" ,"triazolam") # # e1 = PKStudy() # # e1.create("8904618", "(as summarized in UW DIDB) #volunteers: 8; triazolam: .25mg po; fluconazole 50mg tidx 4d, po; change in AUC: 63%", "rct1","boycer", "01312006", .25, 50, .63) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["fluconazole_increases_auc_triazolam"].ready_for_classification = True # # # # # a = ContValAssertion("fluconazole", "increases_auc" ,"triazolam") # # e1 = PKStudy() # # e1.create("8730978", "(as summarized in UW DIDB) #volunteers: 12; triazolam: .25mg po; fluconazole 100mg tidx 4d, po; change in AUC: 145.9%", "rct1","boycer", "01312006", .25, 100, 1.46) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["fluconazole_increases_auc_triazolam"].ready_for_classification = True # # # # # a = ContValAssertion("fluconazole", "increases_auc" ,"fluvastatin") # # e1 = PKStudy() # # e1.create("10952477", "(as summarized in UW DIDB) #volunteers: 12; fluvastatin: 40mg po; fluconazole 400 mg on day 1 and 200 mg on days 2-4 mg tidx 4d, po; change in AUC: 83.7% ", "rct1","boycer", "01312006", 40, 400, .84) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["fluconazole_increases_auc_fluvastatin"].ready_for_classification = True # # # # # a = ContValAssertion("fluconazole", "increases_auc" ,"pravastatin") # # e1 = PKStudy() # # e1.create("10952477", "(as summarized in UW DIDB) #volunteers: 12; pravastatin: 40mg po; fluconazole 400 mg on day 1 and 200 mg on days 2-4; change in AUC: 35.8%", "rct1","boycer", "01312006", 40, 200, .36) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["fluconazole_increases_auc_pravastatin"].ready_for_classification = True # # # # # a = ContValAssertion("fluconazole", "increases_auc" ,"midazolam") # # e1 = PKStudy() # # e1.create("16172814", "(as summarized in UW DIDB) #volunteers: 12; midazolam: 3mg po; fluconazole 100mg single dose, po; change in AUC: 116.4% ", "rct1","boycer", "01312006", 3 ,100 , 1.16 ) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["fluconazole_increases_auc_midazolam"].ready_for_classification = True # # # # # a = ContValAssertion("fluconazole", "increases_auc" ,"midazolam") # # e1 = PKStudy() # # e1.create("16172814", "(as summarized in UW DIDB) #volunteers: 12; midazolam: 3mg po; fluconazole 200mg single dose, po; change in AUC: 231.9%", "rct1","boycer", "01312006", 3, 200, 2.32) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["fluconazole_increases_auc_midazolam"].ready_for_classification = True # # # # # a = ContValAssertion("fluconazole", "increases_auc" ,"midazolam") # # e1 = PKStudy() # # e1.create("16172814", "(as summarized in UW DIDB) #volunteers: 12; midazolam: 3mg po; fluconazole 400mg single dose, po; change in AUC: 393% ", "rct1","boycer", "01312006", 3 ,400 , 3.93) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["fluconazole_increases_auc_midazolam"].ready_for_classification = True # # # # # a = ContValAssertion("fluconazole", "increases_auc" ,"midazolam") # # e1 = PKStudy() # # e1.create("8623953", "(as summarized in UW DIDB) #volunteers: 12; midazolam: 7.5mg po; fluconazole 400 mg at D1 and then 200 mg (5 days); change in AUC: 259.8%", "rct1","boycer", "01312006",7.5 , 400, 2.6) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["fluconazole_increases_auc_midazolam"].ready_for_classification = True # # # # # a = ContValAssertion("ketoconazole", "increases_auc" ,"midazolam") # # e1 = PKStudy() # # e1.create("10579473", "(as summarized in UW DIDB) #volunteers: 9 ; midazolam: 6mg po; ketoconazole 200mg tidx 1.5d, po; change in AUC: 1261.6%", "rct1","boycer", "01312006", 6, 200, 12.62) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["ketoconazole_increases_auc_midazolam"].ready_for_classification = True # # # # # a = ContValAssertion("ketoconazole", "increases_auc" ,"midazolam") # # e1 = PKStudy() # # e1.create("14551182", "(as summarized in UW DIDB) #volunteers: 10; midazolam: 10mg po; ketoconazole 200mg tidx 12d, po; change in AUC: 772+-596 ", "rct1","boycer", "01312006", 10, 200, 7.72) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["ketoconazole_increases_auc_midazolam"].ready_for_classification = True # # # # # a = ContValAssertion("erythromycin", "increases_auc" ,"midazolam") # # e1 = PKStudy() # # e1.create("8720318", "(as summarized in UW DIDB) #volunteers: 12; midazolam: 15mg po; erythromycin 500mg tidx 5d, po; change in AUC: 281.4%", "rct1","boycer", "01312006", 15, 500, 2.81) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["erythromycin_increases_auc_midazolam"].ready_for_classification = True # # # # # a = ContValAssertion("erythromycin", "increases_auc" ,"midazolam") # # e1 = PKStudy() # # e1.create("8453848", "(as summarized in UW DIDB) #volunteers: 12; midazolam: 15mg po; erythromycin 500mg tidx 7d, po; change in AUC: 341.7%", "rct1","boycer", "01312006", 15, 500, 3.42) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["erythromycin_increases_auc_midazolam"].ready_for_classification = True # # # # # a = ContValAssertion("clarithromycin", "increases_auc" ,"midazolam") # # e1 = PKStudy() # # e1.create("8880291", "(as summarized in UW DIDB) #volunteers: 12; midazolam: 15mg po; clarithromycin 250mg bid, po; change in AUC: 257.2%", "rct1","boycer", "01312006", 15, 250, 2.57) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["clarithromycin_increases_auc_midazolam"].ready_for_classification = False # # # # # a = ContValAssertion("clarithromycin", "increases_auc" ,"simvastatin") # # e1 = PKStudy() # # e1.create("15518608", "(as summarized in UW DIDB) #volunteers: 15; simvastatin: 40mg once daily on days 1-7 alone and with clarithromycin on days 10-17; clarithromycin 500mg BID on days 10-18; change in AUC: 895.5%", "rct1","boycer", "01312006", 40, 500, 8.96) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["clarithromycin_increases_auc_simvastatin"].ready_for_classification = False # # # # # a = ContValAssertion("clarithromycin", "increases_auc" ,"pravastatin") # # e1 = PKStudy() # # e1.create("15518608", "(as summarized in UW DIDB) #volunteers: 15; pravastatin: 40mg once daily on days 1-7 alone and with clarithromycin on days 10-17; clarithromycin 500mg BID on days 10-18; change in AUC: 111.1%", "rct1","boycer", "01312006", 40, 500, 1.11) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["clarithromycin_increases_auc_pravastatin"].ready_for_classification = False # # # # # a = ContValAssertion("clarithromycin", "increases_auc" ,"atorvastatin") # # e1 = PKStudy() # # e1.create("15518608", "(as summarized in UW DIDB) #volunteers: 15; atorvastatin: 80mg once daily on days 1-7 alone and with clarithromycin on days 10-17; clarithromycin 500mg BID on days 10-18; change in AUC: 345.1%", "rct1","boycer", "01312006", 80, 500, 3.45) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["clarithromycin_increases_auc_atorvastatin"].ready_for_classification = False # # # # # a = ContValAssertion("clarithromycin", "increases_auc" ,"atorvastatin") # # e1 = PKStudy() # # e1.create("11936570", "(as summarized in UW DIDB) #volunteers: 24; atorvastatin: 10mg po, once daily; clarithromycin 500mg tidx 3d, po, bid, from day 6 to day 8 of atorvastatin treatment; change in AUC: 81.9%", "rct1","boycer", "01312006", 10, 500, .82) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["clarithromycin_increases_auc_atorvastatin"].ready_for_classification = False # # # # # a = ContValAssertion("clarithromycin", "increases_auc" ,"triazolam") # # e1 = PKStudy() # # e1.create("9757151", "(as summarized in UW DIDB) #volunteers: 12; triazolam: 0.125mg po single dose, 1h after the 3rd dose of clarithromycin or placebo; clarithromycin 500mg tidx 2d, po; change in AUC: 425.5%", "rct1","boycer", "01312006", 0.125, 500, 4.255) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["clarithromycin_increases_auc_triazolam"].ready_for_classification = False # # # # # a = ContValAssertion("nefazodone", "increases_auc" ,"midazolam") # # e1 = PKStudy() # # e1.create("14551182", "(as summarized in UW DIDB) #volunteers: 10; midazolam: 10mg single dose of midazolam oral solution (prepared as a 1:1 mixture of injectable midazolam and flavored, dye-free syrup), alone and 1 hour after the last dose of nefazodone; nefazodone 200 mg bid (100 mg bid for 5 days and 200 mg bid for 7 days); change in AUC: 444%", "rct1","boycer", "01312006", 10, 200, 4.44) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["nefazodone_increases_auc_midazolam"].ready_for_classification = False # # # # # a = ContValAssertion("nefazodone", "increases_auc" ,"alprazolam") # # e1 = PKStudy() # # e1.create("8748428", "(as summarized in UW DIDB) #volunteers: 48; alprazolam: 1mg bid po 7days; nefazodone 200mg bidx 7d, po; change in AUC:98% ", "rct1","boycer", "01312006", 1, 200, .98) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["nefazodone_increases_auc_alprazolam"].ready_for_classification = False # # # # # a = ContValAssertion("nefazodone", "increases_auc" ,"alprazolam") # # e1 = PKStudy() # # e1.create("14709940", "(as summarized in UW DIDB) #volunteers: 16 (CYP2D6 EMs); alprazolam: 2mg po single dose before and on the last day of nefazodone therapy; nefazodone 400mg BID; 200 mg/day for 3 days then 400 mg/day for 5 days, po; change in AUC: 47.3%", "rct1","boycer", "01312006", 2, 400, .473) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["nefazodone_increases_auc_alprazolam"].ready_for_classification = False # # # # # a = ContValAssertion("nefazodone", "increases_auc" ,"triazolam") # # e1 = PKStudy() # # e1.create("8830062", "(as summarized in UW DIDB) #volunteers: 12; triazolam: .25mg po; nefazodone 200mg bidx 7d, po; change in AUC: 289.9%", "rct1","boycer", "01312006", .25, 200, 2.899) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["nefazodone_increases_auc_triazolam"].ready_for_classification = False # # # # # a = ContValAssertion("diltiazem", "increases_auc" ,"midazolam") # # e1 = PKStudy() # # e1.create("8198928", "(as summarized in UW DIDB) #volunteers: 9; midazolam: 15mg po; diltiazem 60mg tidx 2d, po; change in AUC: 275%", "rct1","boycer", "01312006", 15, 60, 2.75) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["diltiazem_increases_auc_midazolam"].ready_for_classification = False # # # # # a = ContValAssertion("diltiazem", "increases_auc" ,"triazolam") # # e1 = PKStudy() # # e1.create("8612379", "(as summarized in UW DIDB) #volunteers: 10; triazolam: .25mg po; diltiazem 60mg tidx 2d, po; change in AUC: 238.1", "rct1","boycer", "01312006", .25, 60, 2.381) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["diltiazem_increases_auc_triazolam"].ready_for_classification = False # # # # # a = ContValAssertion("diltiazem", "increases_auc" ,"triazolam") # # e1 = PKStudy() # # e1.create("9146848", "(as summarized in UW DIDB) #volunteers: 7; triazolam: 0.25mg po; diltiazem 60mg tid for 3 days and 1 hour before triazolam intake, po; change in AUC: 127.5%", "rct1","boycer", "01312006", .25, 60, 1.275) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["diltiazem_increases_auc_triazolam"].ready_for_classification = False # # # # # a = ContValAssertion("diltiazem", "increases_auc" ,"simvastatin") # # e1 = PKStudy() # # e1.create("10741630", "(as summarized in UW DIDB) #volunteers: 10; simvastatin: 20mg po; diltiazem 120mg bid 2wks, po; change in AUC: 381.4% ", "rct1","boycer", "01312006", 20, 120, 3.814) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["diltiazem_increases_auc_simvastatin"].ready_for_classification = False # # # # # a = ContValAssertion("diltiazem", "increases_auc" ,"lovastatin") # # e1 = PKStudy() # # e1.create("9797793", "(as summarized in UW DIDB) #volunteers: 10; lovastatin: 20mg po; diltiazem 120mg bid x 2wks, po; change in AUC: 257.2%", "rct1","boycer", "01312006", 20, 120, 2.572) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["diltiazem_increases_auc_lovastatin"].ready_for_classification = False # # # # # a = ContValAssertion("diltiazem", "increases_auc" ,"pravastatin") # # e1 = PKStudy() # # e1.create("9797793", "(as summarized in UW DIDB) #volunteers: 10; pravastatin: 20mg po; diltiazem 120mg bid x 2wks, po; change in AUC: 2.7%", "rct1","boycer", "01312006", 20, 120, .027) # # a.insertEvidence( "for", e1) # # ev.addAssertion(a) # # ev.objects["diltiazem_increases_auc_pravastatin"].ready_for_classification = False # # # # # dikb.pickleKB("../var/DIKB/dikb.pickle") # # ev.pickleKB("../var/evidence-base/ev.pickle") # ########### fraction cleared by # a = Assertion_m_discrete('alprazolam', 'fraction_cleared_by', 'cyp3a4') # e1 = EvidenceContinousVal() # e1.create("16236041","alprazolam - f_mCYP: 0.80", 'est1', 'boycer', '02062006', 0.8) # a.insertEvidence( "for", e1) # ev.addAssertion(a) # # # a = Assertion_m_discrete('midazolam', 'fraction_cleared_by', 'cyp3a4') # e1 = EvidenceContinousVal() # e1.create("16236041","midazolam - f_mCYP: 0.99", 'est3', 'boycer', '02062006', 0.99) # a.insertEvidence( "for", e1) # ev.addAssertion(a) # a = Assertion_m_discrete('midazolam', 'fraction_cleared_by', 'cyp3a4') # e1 = EvidenceContinousVal() # e1.create("16236041","midazolam - f_mCYP: 0.94", 'est1', 'boycer', '02062006', 0.99) # a.insertEvidence( "for", e1) # ev.addAssertion(a) # ## # a = Assertion_m_discrete('simvastatin', 'fraction_cleared_by', 'cyp3a4') # e1 = EvidenceContinousVal() # e1.create("16236041","simvastatin - f_mCYP: 0.99", 'est2', 'boycer', '02062006', 0.99) # a.insertEvidence( "for", e1) # ev.addAssertion(a) # # # a = Assertion_m_discrete('triazolam', 'fraction_cleared_by', 'cyp3a4') # e1 = EvidenceContinousVal() # e1.create("16236041","triazolam - f_mCYP: 0.98", 'est3', 'boycer', '02062006', 0.98) # a.insertEvidence( "for", e1) # ev.addAssertion(a) # a = Assertion_m_discrete('triazolam', 'fraction_cleared_by', 'cyp3a4') # e1 = EvidenceContinousVal() # e1.create("16236041","triazolam - f_mCYP: 0.92", 'est1', 'boycer', '02062006', 0.92) # a.insertEvidence( "for", e1) # ev.addAssertion(a) # ## # a = Assertion_m_discrete('lovastatin', 'fraction_cleared_by', 'cyp3a4') # e1 = EvidenceContinousVal() # e1.create("16236041","lovastatin - f_mCYP: 0.99", 'est2', 'boycer', '02062006', 0.99) # a.insertEvidence( "for", e1) # ev.addAssertion(a) # # # a1 = Assertion_continuous_s_val('phenytoin','bioavailability','continuous_value') # e1 = EvidenceContinousVal() # e1.create("Goodman and Gillman 10th Ed", "90.0%", 'ast', 'boycer', '02142006', 90.0) # a1.evidence_for.append(e1) # ev.addAssertion(a1) # ev.objects['phenytoin_bioavailability_continuous_value'].ready_for_classification = True # # # dikb.pickleKB("../var/DIKB/dikb.pickle") # ev.pickleKB("../var/evidence-base/ev.pickle")

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null

0

1

0

8

2d575fcb23b46ecb39a34623e34997a8f2eb162b

4,762

py

Python

src/feat/vocabulary.py

linminhtoo/megan

2d598be264217ec0815ac2ef3df5a05252b865b3

[ "MIT" ]

29

2020-10-07T14:00:54.000Z

2022-02-06T13:14:46.000Z

src/feat/vocabulary.py

linminhtoo/megan

2d598be264217ec0815ac2ef3df5a05252b865b3

[ "MIT" ]

4

2021-01-14T21:24:46.000Z

2021-05-31T07:11:37.000Z

src/feat/vocabulary.py

linminhtoo/megan

2d598be264217ec0815ac2ef3df5a05252b865b3

[ "MIT" ]

13

2020-10-22T03:37:05.000Z

2022-03-01T12:27:54.000Z

""" Vocabulary of all possible reaction generation actions """ # Found on Maxus092 and USPTO-50k train+valid DEFAULT_ACTION_VOCABULARY = [ ('change_atom', (1, 0, 0, 0)), ('change_atom', (0, 0, 1, 1)), ('change_atom', (-1, 0, 0, 0)), ('change_atom', (0, 0, 0, 0)), ('change_atom', (0, 1, 1, 0)), ('change_atom', (0, 1, 0, 0)), ('change_atom', (1, 0, 0, 1)), ('change_atom', (0, 0, 1, 0)), ('change_atom', (-1, 0, 0, 1)), ('change_atom', (0, 0, 0, 1)), ('change_atom', (0, 2, 0, 0)), ('change_atom', (1, 0, 1, 0)), ('change_atom', (0, 2, 1, 0)), ('change_atom', (3, 0, 0, 0)), ('change_atom', (1, 0, 1, 1)), ('change_bond', (2, 2)), ('change_bond', (2, 3)), ('change_bond', (2, 0)), ('change_bond', (1, 0)), ('change_bond', (12, 0)), ('change_bond', (3, 0)), ('change_bond', (None, None)), ('add_atom', ((1, 0), (14, 0, 0, 0, 0))), ('add_atom', ((2, 0), (7, -1, 0, 0, 0))), ('add_atom', ((2, 0), (16, 0, 0, 1, 0))), ('add_atom', ((2, 0), (16, 0, 1, 0, 0))), ('add_atom', ((1, 0), (7, 0, 0, 0, 1))), ('add_atom', ((1, 0), (12, 1, 0, 0, 0))), ('add_atom', ((1, 0), (9, 0, 0, 0, 0))), ('add_atom', ((3, 0), (7, 0, 0, 0, 0))), ('add_atom', ((1, 0), (15, 0, 0, 1, 0))), ('add_atom', ((12, 0), (8, 0, 0, 0, 1))), ('add_atom', ((1, 0), (83, 0, 0, 0, 0))), ('add_atom', ((1, 0), (34, 0, 0, 0, 0))), ('add_atom', ((2, 0), (15, 1, 0, 0, 0))), ('add_atom', ((2, 0), (50, 0, 0, 0, 0))), ('add_atom', ((2, 2), (7, 0, 0, 0, 0))), ('add_atom', ((1, 0), (16, -1, 0, 0, 0))), ('add_atom', ((1, 0), (35, 0, 0, 0, 0))), ('add_atom', ((1, 0), (8, 1, 0, 0, 0))), ('add_atom', ((1, 0), (13, 1, 0, 0, 0))), ('add_atom', ((1, 0), (15, 0, 0, 0, 0))), ('add_atom', ((1, 0), (15, 0, 0, 0, 1))), ('add_atom', ((2, 0), (6, 0, 0, 0, 0))), ('add_atom', ((3, 0), (6, 0, 0, 0, 0))), ('add_atom', ((2, 0), (5, 0, 0, 0, 0))), ('add_atom', ((1, 0), (82, 3, 0, 0, 0))), ('add_atom', ((1, 0), (30, 1, 0, 0, 0))), ('add_atom', ((1, 0), (13, -1, 0, 0, 0))), ('add_atom', ((1, 0), (8, -1, 0, 0, 0))), ('add_atom', ((3, 0), (6, -1, 0, 0, 0))), ('add_atom', ((2, 0), (6, 0, 0, 0, 1))), ('add_atom', ((1, 0), (6, 0, 2, 0, 0))), ('add_atom', ((1, 0), (5, 2, 0, 0, 0))), ('add_atom', ((1, 0), (11, 0, 0, 0, 0))), ('add_atom', ((1, 0), (16, 0, 0, 0, 0))), ('add_atom', ((12, 0), (16, 0, 0, 0, 1))), ('add_atom', ((2, 0), (8, 0, 0, 0, 0))), ('add_atom', ((1, 0), (7, -1, 0, 0, 0))), ('add_atom', ((1, 0), (7, 1, 0, 0, 1))), ('add_atom', ((1, 0), (16, 0, 0, 1, 0))), ('add_atom', ((1, 0), (16, 0, 1, 0, 0))), ('add_atom', ((1, 0), (33, 1, 0, 0, 0))), ('add_atom', ((12, 0), (8, 1, 0, 0, 1))), ('add_atom', ((2, 0), (14, 0, 0, 0, 0))), ('add_atom', ((1, 0), (17, 0, 0, 0, 0))), ('add_atom', ((1, 0), (6, 0, 2, 1, 0))), ('add_atom', ((1, 0), (53, 1, 0, 1, 0))), ('add_atom', ((1, 0), (6, 0, 0, 0, 1))), ('add_atom', ((2, 0), (7, 0, 0, 0, 0))), ('add_atom', ((1, 0), (53, 0, 0, 0, 0))), ('add_atom', ((1, 0), (16, 0, 2, 0, 0))), ('add_atom', ((2, 0), (16, 0, 0, 0, 0))), ('add_atom', ((2, 2), (6, 0, 0, 0, 0))), ('add_atom', ((1, 0), (6, -1, 0, 0, 0))), ('add_atom', ((1, 0), (30, 0, 0, 0, 0))), ('add_atom', ((1, 0), (19, 0, 0, 0, 0))), ('add_atom', ((1, 0), (16, 1, 0, 0, 0))), ('add_atom', ((2, 3), (7, 0, 0, 0, 0))), ('add_atom', ((1, 0), (7, 1, 0, 0, 0))), ('add_atom', ((2, 3), (6, 0, 0, 0, 0))), ('add_atom', ((12, 0), (7, 1, 0, 0, 1))), ('add_atom', ((1, 0), (30, 2, 0, 0, 0))), ('add_atom', ((1, 0), (5, 0, 0, 0, 0))), ('add_atom', ((1, 0), (50, 0, 0, 0, 0))), ('add_atom', ((12, 0), (7, 1, 0, 1, 1))), ('add_atom', ((12, 0), (7, 0, 0, 1, 1))), ('add_atom', ((1, 0), (5, -1, 0, 0, 0))), ('add_atom', ((2, 0), (15, 0, 0, 0, 0))), ('add_atom', ((12, 0), (16, 1, 0, 0, 1))), ('add_atom', ((12, 0), (7, 0, 0, 0, 1))), ('add_atom', ((1, 0), (7, 0, 0, 0, 0))), ('add_atom', ((1, 0), (14, 0, 2, 0, 0))), ('add_atom', ((1, 0), (6, 0, 0, 0, 0))), ('add_atom', ((12, 0), (6, 0, 0, 0, 1))), ('add_atom', ((1, 0), (6, 0, 1, 1, 0))), ('add_atom', ((1, 0), (15, 1, 0, 0, 0))), ('add_atom', ((1, 0), (1, 0, 0, 0, 0))), ('add_atom', ((2, 0), (7, 1, 0, 0, 0))), ('add_atom', ((1, 0), (13, 0, 0, 0, 0))), ('add_atom', ((1, 0), (53, 1, 0, 0, 0))), ('add_atom', ((1, 0), (12, 0, 0, 0, 0))), ('add_atom', ((1, 0), (3, 0, 0, 0, 0))), ('add_atom', ((1, 0), (8, 0, 0, 0, 0))), ('add_atom', ((1, 0), (6, 0, 1, 0, 0))), ('add_atom', ((1, 0), (29, 0, 0, 0, 0))), ('add_ring', 'benzene'), ('stop', ) ]

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1

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1

0

1

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null

0

10

2dda8d6be0fd481092d5a4c068a5829826ae3e90

3,461

py

Python

test/line_test.py

TimeExceed/draw.py

361dceda86a983815f48b898b3d6c75c776f6aa0

[ "BSD-3-Clause" ]

null

test/line_test.py

TimeExceed/draw.py

361dceda86a983815f48b898b3d6c75c776f6aa0

[ "BSD-3-Clause" ]

null

test/line_test.py

TimeExceed/draw.py

361dceda86a983815f48b898b3d6c75c776f6aa0

[ "BSD-3-Clause" ]

null

import testa from fathom import Point, ORIGIN import fathom.tikz as tikz import fathom.colors as colors import fathom.line_styles as line_styles @testa.is_(expect=r''' \documentclass[UTF8]{ctexart} \usepackage[a0paper]{geometry} \usepackage{tikz} \usetikzlibrary{arrows.meta,arrows} \pagestyle{empty} \begin{document} \begin{tikzpicture}[>=Stealth] \draw (0.00cm,0.00cm) -- (1.00cm,0.00cm); \end{tikzpicture} \end{document} ''') def draw_line(): canvas = tikz.Canvas() canvas.new_line(src=ORIGIN, dst=Point(1, 0)) return canvas.draw() @testa.is_(expect=r''' \documentclass[UTF8]{ctexart} \usepackage[a0paper]{geometry} \usepackage{tikz} \usetikzlibrary{arrows.meta,arrows} \pagestyle{empty} \begin{document} \begin{tikzpicture}[>=Stealth] \draw[->] (0.00cm,0.00cm) -- (1.00cm,0.00cm); \end{tikzpicture} \end{document} ''') def draw_arrow(): canvas = tikz.Canvas() canvas.new_arrow(src=ORIGIN, dst=Point(1, 0)) return canvas.draw() @testa.is_(expect=r''' \documentclass[UTF8]{ctexart} \usepackage[a0paper]{geometry} \usepackage{tikz} \usetikzlibrary{arrows.meta,arrows} \pagestyle{empty} \begin{document} \begin{tikzpicture}[>=Stealth] \draw[<->] (0.00cm,0.00cm) -- (1.00cm,0.00cm); \end{tikzpicture} \end{document} ''') def draw_dblarrow(): canvas = tikz.Canvas() canvas.new_dblarrow(src=ORIGIN, dst=Point(1, 0)) return canvas.draw() @testa.is_(expect=r''' \documentclass[UTF8]{ctexart} \usepackage[a0paper]{geometry} \usepackage{tikz} \usetikzlibrary{arrows.meta,arrows} \pagestyle{empty} \begin{document} \begin{tikzpicture}[>=Stealth] \draw[<-] (0.00cm,0.00cm) -- (1.00cm,0.00cm); \end{tikzpicture} \end{document} ''') def draw_backward_arrow(): canvas = tikz.Canvas() canvas.new_backward_arrow(src=ORIGIN, dst=Point(1, 0)) return canvas.draw() @testa.is_(expect=r''' \documentclass[UTF8]{ctexart} \usepackage[a0paper]{geometry} \usepackage{tikz} \usetikzlibrary{arrows.meta,arrows} \pagestyle{empty} \begin{document} \begin{tikzpicture}[>=Stealth] \draw (1.00cm,0.00cm) -- (3.00cm,0.00cm); \end{tikzpicture} \end{document} ''') def line_from_shape(): canvas = tikz.Canvas() c0 = canvas.new_circle(center=ORIGIN, radius=1, pen_color=colors.INVISIBLE) canvas.new_line(src=c0, dst=Point(3, 0)) return canvas.draw() @testa.is_(expect=r''' \documentclass[UTF8]{ctexart} \usepackage[a0paper]{geometry} \usepackage{tikz} \usetikzlibrary{arrows.meta,arrows} \pagestyle{empty} \begin{document} \begin{tikzpicture}[>=Stealth] \draw (0.00cm,0.00cm) -- (2.00cm,0.00cm); \end{tikzpicture} \end{document} ''') def line_to_shape(): canvas = tikz.Canvas() c1 = canvas.new_circle( center=Point(3, 0), radius=1, pen_color=colors.INVISIBLE) canvas.new_line(src=ORIGIN, dst=c1) return canvas.draw() @testa.is_(expect=r''' \documentclass[UTF8]{ctexart} \usepackage[a0paper]{geometry} \usepackage{tikz} \usetikzlibrary{arrows.meta,arrows} \pagestyle{empty} \begin{document} \begin{tikzpicture}[>=Stealth] \draw (1.00cm,0.00cm) -- (2.00cm,0.00cm); \end{tikzpicture} \end{document} ''') def line_between_shapes(): canvas = tikz.Canvas() c0 = canvas.new_circle( center=ORIGIN, radius=1, pen_color=colors.INVISIBLE) c1 = canvas.new_circle( center=Point(3, 0), radius=1, pen_color=colors.INVISIBLE) canvas.new_line(src=c0, dst=c1) return canvas.draw() if __name__ == '__main__': testa.main()

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5.154348

0.130435

0.040067

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0.041333

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0.878532

0.843948

0.826655

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3,461

148

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0.737447

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0.765152

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0.143939

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null

0

1

0

1

0

null

0

7

933655f6de74ef6b59471554326f5dcb858943e5

1,752

py

Python

tests.py

nikita7957/curs

c422be3ad2d517f2862cfe227b3232b0d41e7230

[ "MIT" ]

null

tests.py

nikita7957/curs

c422be3ad2d517f2862cfe227b3232b0d41e7230

[ "MIT" ]

8

2017-06-01T16:28:31.000Z

2017-06-01T16:34:02.000Z

tests.py

nikita7957/curs

c422be3ad2d517f2862cfe227b3232b0d41e7230

[ "MIT" ]

null

import pytest from Search import dfs @pytest.mark.parametrize('graph, node, expected', [ ({'A': (['B', 'C']), 'B': (['A', 'D', 'E']), 'C': (['A', 'F']), 'D': (['B']), 'E': (['B', 'F']), 'F': (['C', 'E'])},'B',"['B', 'A', 'C', 'F', 'E', 'D']") ]) def test_node_B(graph, node, expected): assert str (dfs(graph,node)) == expected @pytest.mark.parametrize('graph, node, expected', [ ({'A': (['B', 'C']), 'B': (['A', 'D', 'E']), 'C': (['A', 'F']), 'D': (['B']), 'E': (['B', 'F']), 'F': (['C', 'E'])},'A',"['A', 'B', 'D', 'E', 'F', 'C']") ]) def test_node_A(graph, node, expected): assert str (dfs(graph,node)) == expected @pytest.mark.parametrize('graph, node, expected', [ ({'A': (['B', 'C']), 'B': (['A', 'D', 'E']), 'C': (['A', 'F']), 'D': (['B']), 'E': (['B', 'F']), 'F': (['C', 'E'])},'Q','error') ]) def test_NonExistent_Node(graph, node, expected): assert str (dfs(graph,node)) == expected @pytest.mark.parametrize('graph, node, expected', [ ({'A': (['B', 'C']), 'B': (['A', 'D', 'E']), 'C': (['A', 'F']), 'D': (['B'])},'F','error') ]) def test_Unconnected_Node(graph, node, expected): assert str (dfs(graph,node)) == expected @pytest.mark.parametrize('graph, node, expected', [ ({'A': (['A'])},'A','error') ]) def test_Endless_Graph(graph, node, expected): assert str (dfs(graph,node)) == expected def test_docs(): assert open('DOCS.md') != None def test_license(): assert open('LICENSE') != None

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null

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1

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1

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null

0

7

87bbdb885d7fcd9d26b34ce531e2a27fb08ae289

685

py

Python

src/C-Python/Polyquine.py

graph-paper/Polyquine

50872251b457da3be7b386933260b4f0231fc83b

[ "WTFPL" ]

1

2021-11-30T12:32:45.000Z

src/C-Python/Polyquine.py

graph-paper/Polyquine

50872251b457da3be7b386933260b4f0231fc83b

[ "WTFPL" ]

null

src/C-Python/Polyquine.py

graph-paper/Polyquine

50872251b457da3be7b386933260b4f0231fc83b

[ "WTFPL" ]

null

#if false a=""" #endif int main(){char*b="#if false%ca=%c%c%c%c#endif%cint main(){char*b=%c%s%c;printf(b,10,34,34,34,10,10,34,b,34,10,10,34,34,34,10,10,10,34,34,10,10);}%c#if false%c%c%c%c%cq=chr(34)%cn=chr(10)%cs=%c#if false%%ca=%%c%%c%%c%%s%%c%%c%%c%%cq=chr(34)%%cn=chr(10)%%cs=%%c%%s%%c%%cprint(s %%%% (n,q,q,q,a,q,q,q,n,n,n,q,s,q,n,n))%%c#endif%c%cprint(s %% (n,q,q,q,a,q,q,q,n,n,n,q,s,q,n,n))%c#endif";printf(b,10,34,34,34,10,10,34,b,34,10,10,34,34,34,10,10,10,34,34,10,10);} #if false """ q=chr(34) n=chr(10) s="#if false%ca=%c%c%c%s%c%c%c%cq=chr(34)%cn=chr(10)%cs=%c%s%c%cprint(s %% (n,q,q,q,a,q,q,q,n,n,n,q,s,q,n,n))%c#endif" print(s % (n,q,q,q,a,q,q,q,n,n,n,q,s,q,n,n)) #endif

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10

87f621e9202aea32a776fc18de4b0d27ba3f8d4f

6,060

py

Python

Dataset.py

wangzhen21/neural_collaborative_filtering

0eaa23ef1d6411382cf07c3ddf735e27920853d3

[ "Apache-2.0" ]

null

Dataset.py

wangzhen21/neural_collaborative_filtering

0eaa23ef1d6411382cf07c3ddf735e27920853d3

[ "Apache-2.0" ]

null

Dataset.py

wangzhen21/neural_collaborative_filtering

0eaa23ef1d6411382cf07c3ddf735e27920853d3

[ "Apache-2.0" ]

null

''' Created on Aug 8, 2016 Processing datasets. @author: Xiangnan He (xiangnanhe@gmail.com) ''' import scipy.sparse as sp import numpy as np from tqdm import tqdm class Dataset(object): ''' classdocs ''' def __init__(self, path): ''' Constructor ''' self.trainMatrix = self.load_rating_file_as_matrix(path + ".train.rating") self.testRatings = self.load_rating_file_as_list(path + ".test.rating") self.testNegatives = self.load_negative_file(path + ".test.negative") assert len(self.testRatings) == len(self.testNegatives) self.num_users, self.num_items = self.trainMatrix.shape def load_rating_file_as_list(self, filename): ratingList = [] with open(filename, "r") as f: line = f.readline() while line != None and line != "": arr = line.split("\t") user, item = int(arr[0]), int(arr[1]) ratingList.append([user, item]) line = f.readline() return ratingList def load_negative_file(self, filename): negativeList = [] with open(filename, "r") as f: line = f.readline() while line != None and line != "": arr = line.split("\t") negatives = [] for x in arr[1: ]: negatives.append(int(x)) negativeList.append(negatives) line = f.readline() return negativeList def load_rating_file_as_matrix(self, filename): ''' Read .rating file and Return dok matrix. The first line of .rating file is: num_users\t num_items ''' # Get number of users and items num_users, num_items = 0, 0 with open(filename, "r") as f: line = f.readline() while line != None and line != "": arr = line.split("\t") u, i = int(arr[0]), int(arr[1]) num_users = max(num_users, u) num_items = max(num_items, i) line = f.readline() # Construct matrix mat = sp.dok_matrix((num_users+1, num_items+1), dtype=np.float32) with open(filename, "r") as f: line = f.readline() while line != None and line != "": arr = line.split("\t") user, item, rating = int(arr[0]), int(arr[1]), float(arr[2]) if (rating > 0): mat[user, item] = 1.0 line = f.readline() return mat class Datasetstance(object): ''' classdocs ''' def __init__(self, path): ''' Constructor ''' self.trainMatrix,self.trainstanceMatrix,self.stance_num = self.load_rating_file_as_matrix(path + ".train.rating.stance") self.stance_num += 1 self.testRatings = self.load_rating_file_as_list(path + ".test.rating.stance") self.testNegatives,self.testNegativesDre = self.load_negative_file(path + ".test.negtive.stance.newindex",path + ".test.negtive.flag.stance.newindex") assert len(self.testRatings) == len(self.testNegatives) self.num_users, self.num_items = self.trainMatrix.shape def load_rating_file_as_list(self, filename): ratingList = [] with open(filename, "r") as f: line = f.readline() while line != None and line != "": arr = line.split("\t") user, item,stance = int(arr[0]), int(arr[1]),int(arr[5]) if stance > self.stance_num: stance = self.stance_num ratingList.append([user, item,stance]) line = f.readline() return ratingList def load_negative_file(self, filename,filename2): negativeList = [] negativedireList = [] with open(filename, "r") as f: line = f.readline() while line != None and line != "": arr = line.split("\t") negatives = [] for x in arr[1:]: negatives.append(int(x)) negativeList.append(negatives) line = f.readline() with open(filename2, "r") as f: line = f.readline() while line != None and line != "": arr = line.split("\t") negatives = [] for x in arr[1:]: negatives.append(int(x)) negativedireList.append(negatives) line = f.readline() return negativeList,negativedireList def load_rating_file_as_matrix(self, filename): ''' Read .rating file and Return dok matrix. The first line of .rating file is: num_users\t num_items ''' # Get number of users and items num_users, num_items,num_stance = 0, 0,0 with open(filename, "r") as f: line = f.readline() while line != None and line != "": arr = line.split("\t") u, i,s = int(arr[0]), int(arr[1]),int(arr[5]) num_users = max(num_users, u) num_items = max(num_items, i) num_stance = max(num_stance,s) line = f.readline() # Construct matrix mat = sp.dok_matrix((num_users + 1, num_items + 1), dtype=np.float32) matstance = sp.dok_matrix((num_users + 1, num_items + 1), dtype=np.float32) iline = 0 with open(filename, "r") as f: line = f.readline() while line != None and line != "": i+=1 if i%10000 == 0: print i arr = line.split("\t") user, item, rating,stance = int(arr[0]), int(arr[1]), float(arr[2]),int(arr[5]) if (rating > 0): mat[user, item] = 1.0 matstance[user, item] = stance line = f.readline() return mat,matstance,num_stance

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0.702128

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37.407407

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0.669421

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0

null

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null

0

1

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7

35547523db1b96ef712d0d6000a31e97a06de366

215

py

Python

src/dicom_parser/utils/__init__.py

GalBenZvi/dicom_parser

fc3e892ebf99c4e5d62cb5e7de7df341baf445fe

[ "MIT" ]

11

2020-08-08T21:41:54.000Z

2021-07-27T12:48:31.000Z

src/dicom_parser/utils/__init__.py

GalBenZvi/dicom_parser

fc3e892ebf99c4e5d62cb5e7de7df341baf445fe

[ "MIT" ]

45

2020-03-03T14:32:16.000Z

2021-07-30T16:42:17.000Z

src/dicom_parser/utils/__init__.py

GalBenZvi/dicom_parser

fc3e892ebf99c4e5d62cb5e7de7df341baf445fe

[ "MIT" ]

6

2021-10-19T09:19:22.000Z

2022-03-13T19:26:10.000Z

""" Utilities for the *dicom_parser* package. """ from dicom_parser.utils.parse_tag import parse_tag from dicom_parser.utils.read_file import read_file from dicom_parser.utils.requires_pandas import requires_pandas

30.714286

62

0.84186

33

215

5.181818

0.454545

0.25731

0.263158

0.350877

0

0.088372

215

6

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35.833333

0.872449

0.190698

0

1

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true

0

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1

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1

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null

0

1

0

1

0

1

0

7

3585d76803397660d5f34deb383686e20e17f0c5

12,465

py

Python

conformal_blocks/test/test_simple_lie_algebra.py

mjschust/conformal-blocks

7f6c551f506b3ebf5e0f73eb9b4cadaeee2a02b9

[ "MIT" ]

null

conformal_blocks/test/test_simple_lie_algebra.py

mjschust/conformal-blocks

7f6c551f506b3ebf5e0f73eb9b4cadaeee2a02b9

[ "MIT" ]

1

2017-04-20T23:15:32.000Z

conformal_blocks/test/test_simple_lie_algebra.py

mjschust/conformal-blocks

7f6c551f506b3ebf5e0f73eb9b4cadaeee2a02b9

[ "MIT" ]

null

''' Created on Nov 19, 2016 @author: mjschust ''' from __future__ import division import unittest import conformal_blocks.cbbundle as cbd class Test(unittest.TestCase): def test_sl2_char(self): liealg = cbd.TypeALieAlgebra(1) wt = tuple([0]) self.assertEqual(1, liealg.get_rep_dim(wt), "Dimension not correct") dom_char = liealg.get_dominant_character(wt) char_wt = tuple([0]) self.assertTrue(char_wt in dom_char, "Character incorrect") self.assertEqual(1, dom_char[char_wt], "Character incorrect") wt = tuple([1]) self.assertEqual(2, liealg.get_rep_dim(wt), "Dimension not correct") dom_char = liealg.get_dominant_character(wt) char_wt = tuple([1]) self.assertTrue(char_wt in dom_char, "Character incorrect") self.assertEqual(1, dom_char[char_wt], "Character incorrect") wt = tuple([2]) self.assertEqual(3, liealg.get_rep_dim(wt), "Dimension not correct") dom_char = liealg.get_dominant_character(wt) char_wt = tuple([2]) self.assertTrue(char_wt in dom_char, "Character incorrect") self.assertEqual(1, dom_char[char_wt], "Character incorrect") char_wt = tuple([0]) self.assertTrue(char_wt in dom_char, "Character incorrect") self.assertEqual(1, dom_char[char_wt], "Character incorrect") def test_sl3_char(self): liealg = cbd.TypeALieAlgebra(2) wt = (0, 0) self.assertEqual(1, liealg.get_rep_dim(wt), "Dimension not correct") dom_char = liealg.get_dominant_character(wt) char_wt = tuple([0, 0]) self.assertTrue(char_wt in dom_char, "Character incorrect") self.assertEqual(1, dom_char[char_wt], "Character incorrect") wt = (1, 0) self.assertEqual(3, liealg.get_rep_dim(wt), "Dimension not correct") dom_char = liealg.get_dominant_character(wt) char_wt = tuple([1, 0]) self.assertTrue(char_wt in dom_char, "Character incorrect") self.assertEqual(1, dom_char[char_wt], "Character incorrect") wt = (0, 1) self.assertEqual(3, liealg.get_rep_dim(wt), "Dimension not correct") dom_char = liealg.get_dominant_character(wt) char_wt = tuple([1, 0]) self.assertFalse(char_wt in dom_char, "Character incorrect") char_wt = tuple([0, 1]) self.assertTrue(char_wt in dom_char, "Character incorrect") self.assertEqual(1, dom_char[char_wt], "Character incorrect") wt = (1, 1) self.assertEqual(8, liealg.get_rep_dim(wt), "Dimension not correct") dom_char = liealg.get_dominant_character(wt) char_wt = tuple([1, 1]) self.assertTrue(char_wt in dom_char, "Character incorrect") self.assertEqual(1, dom_char[char_wt], "Character incorrect") char_wt = tuple([0, 0]) self.assertTrue(char_wt in dom_char, "Character incorrect") self.assertEqual(2, dom_char[char_wt], "Character incorrect") wt = (2, 1) self.assertEqual(15, liealg.get_rep_dim(wt), "Dimension not correct") dom_char = liealg.get_dominant_character(wt) char_wt = tuple([2, 1]) self.assertTrue(char_wt in dom_char, "Character incorrect") self.assertEqual(1, dom_char[char_wt], "Character incorrect") char_wt = tuple([1, 0]) self.assertTrue(char_wt in dom_char, "Character incorrect") self.assertEqual(2, dom_char[char_wt], "Character incorrect") char_wt = tuple([0, 2]) self.assertTrue(char_wt in dom_char, "Character incorrect") self.assertEqual(1, dom_char[char_wt], "Character incorrect") def test_sl4_char(self): liealg = cbd.TypeALieAlgebra(3) wt = tuple([0, 0, 0]) self.assertEqual(1, liealg.get_rep_dim(wt), "Dimension not correct") dom_char = liealg.get_dominant_character(wt) char_wt = tuple([0, 0, 0]) self.assertTrue(char_wt in dom_char, "Character incorrect") self.assertEqual(1, dom_char[char_wt], "Character incorrect") wt = tuple([1, 0, 0]) self.assertEqual(4, liealg.get_rep_dim(wt), "Dimension not correct") dom_char = liealg.get_dominant_character(wt) char_wt = tuple([1, 0, 0]) self.assertTrue(char_wt in dom_char, "Character incorrect") self.assertEqual(1, dom_char[char_wt], "Character incorrect") wt = tuple([0, 0, 1]) self.assertEqual(4, liealg.get_rep_dim(wt), "Dimension not correct") dom_char = liealg.get_dominant_character(wt) char_wt = tuple([1, 0, 0]) self.assertFalse(char_wt in dom_char, "Character incorrect") char_wt = tuple([0, 0, 1]) self.assertTrue(char_wt in dom_char, "Character incorrect") self.assertEqual(1, dom_char[char_wt], "Character incorrect") wt = tuple([0, 1, 0]) self.assertEqual(6, liealg.get_rep_dim(wt), "Dimension not correct") dom_char = liealg.get_dominant_character(wt) char_wt = tuple([0, 1, 0]) self.assertTrue(char_wt in dom_char, "Character incorrect") self.assertEqual(1, dom_char[char_wt], "Character incorrect") wt = tuple([1, 1, 1]) self.assertEqual(64, liealg.get_rep_dim(wt), "Dimension not correct") dom_char = liealg.get_dominant_character(wt) char_wt = tuple([1, 1, 1]) self.assertTrue(char_wt in dom_char, "Character incorrect") self.assertEqual(1, dom_char[char_wt], "Character incorrect") char_wt = tuple([2, 0, 0]) self.assertTrue(char_wt in dom_char, "Character incorrect") self.assertEqual(2, dom_char[char_wt], "Character incorrect") char_wt = tuple([0, 1, 0]) self.assertTrue(char_wt in dom_char, "Character incorrect") self.assertEqual(4, dom_char[char_wt], "Character incorrect") char_wt = tuple([0, 0, 2]) self.assertTrue(char_wt in dom_char, "Character incorrect") self.assertEqual(2, dom_char[char_wt], "Character incorrect") def test_sl2_tensor(self): liealg = cbd.TypeALieAlgebra(1) decomp = liealg.tensor((0,), (0,)) dec_wt = tuple([0]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") decomp = liealg.tensor((0,), (1,)) dec_wt = tuple([1]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") decomp = liealg.tensor((1,), (1,)) dec_wt = tuple([2]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") dec_wt = tuple([0]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") decomp = liealg.tensor((2,), (1,)) dec_wt = tuple([3]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") dec_wt = tuple([1]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") decomp = liealg.tensor((5,), (2,)) dec_wt = tuple([7]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") dec_wt = tuple([5]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") dec_wt = tuple([3]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") def test_sl2_fusion(self): liealg = cbd.TypeALieAlgebra(1) decomp = liealg.fusion((0,), (0,),1) dec_wt = tuple([0]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") decomp = liealg.fusion((0,), (1,), 1) dec_wt = tuple([1]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") decomp = liealg.fusion((1,), (1,),1) dec_wt = tuple([2]) self.assertFalse(dec_wt in decomp, "Tensor decomp incorrect") dec_wt = tuple([0]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") decomp = liealg.fusion((1,), (1,),2) dec_wt = tuple([2]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") dec_wt = tuple([0]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") decomp = liealg.fusion((5,), (2,),7) dec_wt = tuple([7]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") dec_wt = tuple([5]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") dec_wt = tuple([3]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") decomp = liealg.fusion((5,), (2,),6) dec_wt = tuple([7]) self.assertFalse(dec_wt in decomp, "Tensor decomp incorrect") dec_wt = tuple([5]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") dec_wt = tuple([3]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") decomp = liealg.fusion((5,), (2,),5) dec_wt = tuple([7]) self.assertFalse(dec_wt in decomp, "Tensor decomp incorrect") dec_wt = tuple([5]) self.assertFalse(dec_wt in decomp and decomp[dec_wt] > 0, "Tensor decomp incorrect") dec_wt = tuple([3]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") def test_sl2_multi_fusion(self): liealg = cbd.TypeALieAlgebra(1) wt1 = tuple([0]) wt2 = tuple([1]) decomp = liealg.multi_fusion([wt1, wt2, wt2], 1) dec_wt = tuple([2]) self.assertFalse(dec_wt in decomp, "Tensor decomp incorrect") dec_wt = tuple([0]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") decomp = liealg.multi_fusion([wt2, wt2, wt2], 1) dec_wt = tuple([1]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") wt1 = tuple([4]) wt2 = tuple([2]) decomp = liealg.multi_fusion([wt2, wt2, wt2], 4) dec_wt = tuple([4]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") dec_wt = tuple([2]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(3, decomp[dec_wt], "Tensor decomp incorrect") dec_wt = tuple([0]) self.assertTrue(dec_wt in decomp, "Tensor decomp incorrect") self.assertEqual(1, decomp[dec_wt], "Tensor decomp incorrect") def test_degree(self): liealg = cbd.TypeALieAlgebra(1) wt1 = tuple([1]) wt2 = tuple([3]) wt3 = tuple([5]) #self.assertEqual(1, liealg.degree(wt1,wt2,wt2,wt3, 5), "Degree incorrect") #self.assertEqual(0, liealg.degree(wt1, wt2, wt2, wt3, 6), "Degree incorrect") liealg = cbd.TypeALieAlgebra(4) wt1 = tuple([0, 1, 0, 0]) wt2 = tuple([0, 0, 1, 0]) #self.assertEqual(2, liealg.degree(wt1, wt1, wt2, wt2, 1), "Degree incorrect") if __name__ == "__main__": #import sys;sys.argv = ['', 'Test.testSL2OrbitIter','Test.testSL2Tensor','Test.testSL2Fusion','testSL2MultiFusion','testDegree'] unittest.main()

44.838129

132

0.638347

1,663

12,465

4.612147

0.045099

0.056063

0.150587

0.127119

0.916037

0.899087

0.884224

0.856584

0.855671

0

0.028917

0.231528

12,465

278

133

44.83813

0.771792

0.031929

0

0.686695

0

0.19441

0

0.472103

1

0.030043

false

0

0.012876

0

0.04721

0

null

0

1

0

null

0

1

0

7

ea99f957e2e4b5f2e4a0243a71803f19ce1b0216

314

py

Python

autokeras/backend/tensorflow/__init__.py

chosungsu/autokeras

ab0b10a003b65093bc4b756540e9a865a1f625a5

[ "MIT" ]

1

2019-04-16T00:28:02.000Z

autokeras/backend/tensorflow/__init__.py

chosungsu/autokeras

ab0b10a003b65093bc4b756540e9a865a1f625a5

[ "MIT" ]

6

2020-01-28T23:06:50.000Z

2022-02-10T01:19:01.000Z

autokeras/backend/tensorflow/__init__.py

chosungsu/autokeras

ab0b10a003b65093bc4b756540e9a865a1f625a5

[ "MIT" ]

2

2019-04-24T05:52:50.000Z

2022-02-19T13:30:21.000Z

from autokeras.backend.tensorflow.model import produce_model from autokeras.backend.tensorflow.data_transformer import ImageDataTransformer from autokeras.backend.tensorflow.model_trainer import ModelTrainer from autokeras.backend.tensorflow.loss_function import * from autokeras.backend.tensorflow.metric import *

62.8

78

0.88535

37

314

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0.405405

0.237226

0.364964

0.547445

0.255474

0

0.06051

314

5

79

62.8

0.928814

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1

0

true

0

1

0

1

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1

0

1

0

null

0

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1

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1

0

7

5768b07c44a4c6bcef8baaeca555bc48dcc4b0f2

18,172

py

Python

svsim/compare/sc21_compare/cirq/cirq_qft_n15.py

yukwangmin/SV-Sim

1b6b71cb490e7a1eac3d6ebc24777590d48378de

[ "MIT" ]

null

svsim/compare/sc21_compare/cirq/cirq_qft_n15.py

yukwangmin/SV-Sim

1b6b71cb490e7a1eac3d6ebc24777590d48378de

[ "MIT" ]

null

svsim/compare/sc21_compare/cirq/cirq_qft_n15.py

yukwangmin/SV-Sim

1b6b71cb490e7a1eac3d6ebc24777590d48378de

[ "MIT" ]

null

import time import cirq import numpy as np from functools import reduce def u1(p_lambda): return cirq.MatrixGate(np.array([[1, 0], [0, np.exp(1j*p_lambda)]])) q = [cirq.NamedQubit('q' + str(i)) for i in range(15)] circuit = cirq.Circuit( cirq.H(q[0]), u1(0.785398163397448)(q[1]), u1(0.392699081698724)(q[2]), u1(0.196349540849362)(q[3]), u1(0.098174770424681)(q[4]), u1(0.0490873852123405)(q[5]), u1(0.0245436926061703)(q[6]), u1(0.0122718463030851)(q[7]), u1(0.00613592315154256)(q[8]), u1(0.00306796157577128)(q[9]), u1(0.00153398078788564)(q[10]), u1(7.66990393942821e-4)(q[11]), u1(3.8349519697141e-4)(q[12]), u1(1.91747598485705e-4)(q[13]), u1(9.58737992428526e-5)(q[14]), cirq.CNOT(q[1], q[0]), u1(-0.785398163397448)(q[0]), cirq.CNOT(q[1], q[0]), u1(0.785398163397448)(q[0]), cirq.H(q[1]), cirq.CNOT(q[2], q[0]), u1(-0.392699081698724)(q[0]), cirq.CNOT(q[2], q[0]), u1(0.392699081698724)(q[0]), u1(0.785398163397448)(q[2]), cirq.CNOT(q[2], q[1]), u1(-0.785398163397448)(q[1]), cirq.CNOT(q[2], q[1]), u1(0.785398163397448)(q[1]), cirq.H(q[2]), cirq.CNOT(q[3], q[0]), u1(-0.196349540849362)(q[0]), cirq.CNOT(q[3], q[0]), u1(0.196349540849362)(q[0]), u1(0.392699081698724)(q[3]), cirq.CNOT(q[3], q[1]), u1(-0.392699081698724)(q[1]), cirq.CNOT(q[3], q[1]), u1(0.392699081698724)(q[1]), u1(0.785398163397448)(q[3]), cirq.CNOT(q[3], q[2]), u1(-0.785398163397448)(q[2]), cirq.CNOT(q[3], q[2]), u1(0.785398163397448)(q[2]), cirq.H(q[3]), cirq.CNOT(q[4], q[0]), u1(-0.098174770424681)(q[0]), cirq.CNOT(q[4], q[0]), u1(0.098174770424681)(q[0]), u1(0.196349540849362)(q[4]), cirq.CNOT(q[4], q[1]), u1(-0.196349540849362)(q[1]), cirq.CNOT(q[4], q[1]), u1(0.196349540849362)(q[1]), u1(0.392699081698724)(q[4]), cirq.CNOT(q[4], q[2]), u1(-0.392699081698724)(q[2]), cirq.CNOT(q[4], q[2]), u1(0.392699081698724)(q[2]), u1(0.785398163397448)(q[4]), cirq.CNOT(q[4], q[3]), u1(-0.785398163397448)(q[3]), cirq.CNOT(q[4], q[3]), u1(0.785398163397448)(q[3]), cirq.H(q[4]), cirq.CNOT(q[5], q[0]), u1(-0.0490873852123405)(q[0]), cirq.CNOT(q[5], q[0]), u1(0.0490873852123405)(q[0]), u1(0.098174770424681)(q[5]), cirq.CNOT(q[5], q[1]), u1(-0.098174770424681)(q[1]), cirq.CNOT(q[5], q[1]), u1(0.098174770424681)(q[1]), u1(0.196349540849362)(q[5]), cirq.CNOT(q[5], q[2]), u1(-0.196349540849362)(q[2]), cirq.CNOT(q[5], q[2]), u1(0.196349540849362)(q[2]), u1(0.392699081698724)(q[5]), cirq.CNOT(q[5], q[3]), u1(-0.392699081698724)(q[3]), cirq.CNOT(q[5], q[3]), u1(0.392699081698724)(q[3]), u1(0.785398163397448)(q[5]), cirq.CNOT(q[5], q[4]), u1(-0.785398163397448)(q[4]), cirq.CNOT(q[5], q[4]), u1(0.785398163397448)(q[4]), cirq.H(q[5]), cirq.CNOT(q[6], q[0]), u1(-0.0245436926061703)(q[0]), cirq.CNOT(q[6], q[0]), u1(0.0245436926061703)(q[0]), u1(0.0490873852123405)(q[6]), cirq.CNOT(q[6], q[1]), u1(-0.0490873852123405)(q[1]), cirq.CNOT(q[6], q[1]), u1(0.0490873852123405)(q[1]), u1(0.098174770424681)(q[6]), cirq.CNOT(q[6], q[2]), u1(-0.098174770424681)(q[2]), cirq.CNOT(q[6], q[2]), u1(0.098174770424681)(q[2]), u1(0.196349540849362)(q[6]), cirq.CNOT(q[6], q[3]), u1(-0.196349540849362)(q[3]), cirq.CNOT(q[6], q[3]), u1(0.196349540849362)(q[3]), u1(0.392699081698724)(q[6]), cirq.CNOT(q[6], q[4]), u1(-0.392699081698724)(q[4]), cirq.CNOT(q[6], q[4]), u1(0.392699081698724)(q[4]), u1(0.785398163397448)(q[6]), cirq.CNOT(q[6], q[5]), u1(-0.785398163397448)(q[5]), cirq.CNOT(q[6], q[5]), u1(0.785398163397448)(q[5]), cirq.H(q[6]), cirq.CNOT(q[7], q[0]), u1(-0.0122718463030851)(q[0]), cirq.CNOT(q[7], q[0]), u1(0.0122718463030851)(q[0]), u1(0.0245436926061703)(q[7]), cirq.CNOT(q[7], q[1]), u1(-0.0245436926061703)(q[1]), cirq.CNOT(q[7], q[1]), u1(0.0245436926061703)(q[1]), u1(0.0490873852123405)(q[7]), cirq.CNOT(q[7], q[2]), u1(-0.0490873852123405)(q[2]), cirq.CNOT(q[7], q[2]), u1(0.0490873852123405)(q[2]), u1(0.098174770424681)(q[7]), cirq.CNOT(q[7], q[3]), u1(-0.098174770424681)(q[3]), cirq.CNOT(q[7], q[3]), u1(0.098174770424681)(q[3]), u1(0.196349540849362)(q[7]), cirq.CNOT(q[7], q[4]), u1(-0.196349540849362)(q[4]), cirq.CNOT(q[7], q[4]), u1(0.196349540849362)(q[4]), u1(0.392699081698724)(q[7]), cirq.CNOT(q[7], q[5]), u1(-0.392699081698724)(q[5]), cirq.CNOT(q[7], q[5]), u1(0.392699081698724)(q[5]), u1(0.785398163397448)(q[7]), cirq.CNOT(q[7], q[6]), u1(-0.785398163397448)(q[6]), cirq.CNOT(q[7], q[6]), u1(0.785398163397448)(q[6]), cirq.H(q[7]), cirq.CNOT(q[8], q[0]), u1(-0.00613592315154256)(q[0]), cirq.CNOT(q[8], q[0]), u1(0.00613592315154256)(q[0]), u1(0.0122718463030851)(q[8]), cirq.CNOT(q[8], q[1]), u1(-0.0122718463030851)(q[1]), cirq.CNOT(q[8], q[1]), u1(0.0122718463030851)(q[1]), u1(0.0245436926061703)(q[8]), cirq.CNOT(q[8], q[2]), u1(-0.0245436926061703)(q[2]), cirq.CNOT(q[8], q[2]), u1(0.0245436926061703)(q[2]), u1(0.0490873852123405)(q[8]), cirq.CNOT(q[8], q[3]), u1(-0.0490873852123405)(q[3]), cirq.CNOT(q[8], q[3]), u1(0.0490873852123405)(q[3]), u1(0.098174770424681)(q[8]), cirq.CNOT(q[8], q[4]), u1(-0.098174770424681)(q[4]), cirq.CNOT(q[8], q[4]), u1(0.098174770424681)(q[4]), u1(0.196349540849362)(q[8]), cirq.CNOT(q[8], q[5]), u1(-0.196349540849362)(q[5]), cirq.CNOT(q[8], q[5]), u1(0.196349540849362)(q[5]), u1(0.392699081698724)(q[8]), cirq.CNOT(q[8], q[6]), u1(-0.392699081698724)(q[6]), cirq.CNOT(q[8], q[6]), u1(0.392699081698724)(q[6]), u1(0.785398163397448)(q[8]), cirq.CNOT(q[8], q[7]), u1(-0.785398163397448)(q[7]), cirq.CNOT(q[8], q[7]), u1(0.785398163397448)(q[7]), cirq.H(q[8]), cirq.CNOT(q[9], q[0]), u1(-0.00306796157577128)(q[0]), cirq.CNOT(q[9], q[0]), u1(0.00306796157577128)(q[0]), u1(0.00613592315154256)(q[9]), cirq.CNOT(q[9], q[1]), u1(-0.00613592315154256)(q[1]), cirq.CNOT(q[9], q[1]), u1(0.00613592315154256)(q[1]), u1(0.0122718463030851)(q[9]), cirq.CNOT(q[9], q[2]), u1(-0.0122718463030851)(q[2]), cirq.CNOT(q[9], q[2]), u1(0.0122718463030851)(q[2]), u1(0.0245436926061703)(q[9]), cirq.CNOT(q[9], q[3]), u1(-0.0245436926061703)(q[3]), cirq.CNOT(q[9], q[3]), u1(0.0245436926061703)(q[3]), u1(0.0490873852123405)(q[9]), cirq.CNOT(q[9], q[4]), u1(-0.0490873852123405)(q[4]), cirq.CNOT(q[9], q[4]), u1(0.0490873852123405)(q[4]), u1(0.098174770424681)(q[9]), cirq.CNOT(q[9], q[5]), u1(-0.098174770424681)(q[5]), cirq.CNOT(q[9], q[5]), u1(0.098174770424681)(q[5]), u1(0.196349540849362)(q[9]), cirq.CNOT(q[9], q[6]), u1(-0.196349540849362)(q[6]), cirq.CNOT(q[9], q[6]), u1(0.196349540849362)(q[6]), u1(0.392699081698724)(q[9]), cirq.CNOT(q[9], q[7]), u1(-0.392699081698724)(q[7]), cirq.CNOT(q[9], q[7]), u1(0.392699081698724)(q[7]), u1(0.785398163397448)(q[9]), cirq.CNOT(q[9], q[8]), u1(-0.785398163397448)(q[8]), cirq.CNOT(q[9], q[8]), u1(0.785398163397448)(q[8]), cirq.H(q[9]), cirq.CNOT(q[10], q[0]), u1(-0.00153398078788564)(q[0]), cirq.CNOT(q[10], q[0]), u1(0.00153398078788564)(q[0]), u1(0.00306796157577128)(q[10]), cirq.CNOT(q[10], q[1]), u1(-0.00306796157577128)(q[1]), cirq.CNOT(q[10], q[1]), u1(0.00306796157577128)(q[1]), u1(0.00613592315154256)(q[10]), cirq.CNOT(q[10], q[2]), u1(-0.00613592315154256)(q[2]), cirq.CNOT(q[10], q[2]), u1(0.00613592315154256)(q[2]), u1(0.0122718463030851)(q[10]), cirq.CNOT(q[10], q[3]), u1(-0.0122718463030851)(q[3]), cirq.CNOT(q[10], q[3]), u1(0.0122718463030851)(q[3]), u1(0.0245436926061703)(q[10]), cirq.CNOT(q[10], q[4]), u1(-0.0245436926061703)(q[4]), cirq.CNOT(q[10], q[4]), u1(0.0245436926061703)(q[4]), u1(0.0490873852123405)(q[10]), cirq.CNOT(q[10], q[5]), u1(-0.0490873852123405)(q[5]), cirq.CNOT(q[10], q[5]), u1(0.0490873852123405)(q[5]), u1(0.098174770424681)(q[10]), cirq.CNOT(q[10], q[6]), u1(-0.098174770424681)(q[6]), cirq.CNOT(q[10], q[6]), u1(0.098174770424681)(q[6]), u1(0.196349540849362)(q[10]), cirq.CNOT(q[10], q[7]), u1(-0.196349540849362)(q[7]), cirq.CNOT(q[10], q[7]), u1(0.196349540849362)(q[7]), u1(0.392699081698724)(q[10]), cirq.CNOT(q[10], q[8]), u1(-0.392699081698724)(q[8]), cirq.CNOT(q[10], q[8]), u1(0.392699081698724)(q[8]), u1(0.785398163397448)(q[10]), cirq.CNOT(q[10], q[9]), u1(-0.785398163397448)(q[9]), cirq.CNOT(q[10], q[9]), u1(0.785398163397448)(q[9]), cirq.H(q[10]), cirq.CNOT(q[11], q[0]), u1(-7.66990393942821e-4)(q[0]), cirq.CNOT(q[11], q[0]), u1(7.66990393942821e-4)(q[0]), u1(0.00153398078788564)(q[11]), cirq.CNOT(q[11], q[1]), u1(-0.00153398078788564)(q[1]), cirq.CNOT(q[11], q[1]), u1(0.00153398078788564)(q[1]), u1(0.00306796157577128)(q[11]), cirq.CNOT(q[11], q[2]), u1(-0.00306796157577128)(q[2]), cirq.CNOT(q[11], q[2]), u1(0.00306796157577128)(q[2]), u1(0.00613592315154256)(q[11]), cirq.CNOT(q[11], q[3]), u1(-0.00613592315154256)(q[3]), cirq.CNOT(q[11], q[3]), u1(0.00613592315154256)(q[3]), u1(0.0122718463030851)(q[11]), cirq.CNOT(q[11], q[4]), u1(-0.0122718463030851)(q[4]), cirq.CNOT(q[11], q[4]), u1(0.0122718463030851)(q[4]), u1(0.0245436926061703)(q[11]), cirq.CNOT(q[11], q[5]), u1(-0.0245436926061703)(q[5]), cirq.CNOT(q[11], q[5]), u1(0.0245436926061703)(q[5]), u1(0.0490873852123405)(q[11]), cirq.CNOT(q[11], q[6]), u1(-0.0490873852123405)(q[6]), cirq.CNOT(q[11], q[6]), u1(0.0490873852123405)(q[6]), u1(0.098174770424681)(q[11]), cirq.CNOT(q[11], q[7]), u1(-0.098174770424681)(q[7]), cirq.CNOT(q[11], q[7]), u1(0.098174770424681)(q[7]), u1(0.196349540849362)(q[11]), cirq.CNOT(q[11], q[8]), u1(-0.196349540849362)(q[8]), cirq.CNOT(q[11], q[8]), u1(0.196349540849362)(q[8]), u1(0.392699081698724)(q[11]), cirq.CNOT(q[11], q[9]), u1(-0.392699081698724)(q[9]), cirq.CNOT(q[11], q[9]), u1(0.392699081698724)(q[9]), u1(0.785398163397448)(q[11]), cirq.CNOT(q[11], q[10]), u1(-0.785398163397448)(q[10]), cirq.CNOT(q[11], q[10]), u1(0.785398163397448)(q[10]), cirq.H(q[11]), cirq.CNOT(q[12], q[0]), u1(-3.8349519697141e-4)(q[0]), cirq.CNOT(q[12], q[0]), u1(3.8349519697141e-4)(q[0]), u1(7.66990393942821e-4)(q[12]), cirq.CNOT(q[12], q[1]), u1(-7.66990393942821e-4)(q[1]), cirq.CNOT(q[12], q[1]), u1(7.66990393942821e-4)(q[1]), u1(0.00153398078788564)(q[12]), cirq.CNOT(q[12], q[2]), u1(-0.00153398078788564)(q[2]), cirq.CNOT(q[12], q[2]), u1(0.00153398078788564)(q[2]), u1(0.00306796157577128)(q[12]), cirq.CNOT(q[12], q[3]), u1(-0.00306796157577128)(q[3]), cirq.CNOT(q[12], q[3]), u1(0.00306796157577128)(q[3]), u1(0.00613592315154256)(q[12]), cirq.CNOT(q[12], q[4]), u1(-0.00613592315154256)(q[4]), cirq.CNOT(q[12], q[4]), u1(0.00613592315154256)(q[4]), u1(0.0122718463030851)(q[12]), cirq.CNOT(q[12], q[5]), u1(-0.0122718463030851)(q[5]), cirq.CNOT(q[12], q[5]), u1(0.0122718463030851)(q[5]), u1(0.0245436926061703)(q[12]), cirq.CNOT(q[12], q[6]), u1(-0.0245436926061703)(q[6]), cirq.CNOT(q[12], q[6]), u1(0.0245436926061703)(q[6]), u1(0.0490873852123405)(q[12]), cirq.CNOT(q[12], q[7]), u1(-0.0490873852123405)(q[7]), cirq.CNOT(q[12], q[7]), u1(0.0490873852123405)(q[7]), u1(0.098174770424681)(q[12]), cirq.CNOT(q[12], q[8]), u1(-0.098174770424681)(q[8]), cirq.CNOT(q[12], q[8]), u1(0.098174770424681)(q[8]), u1(0.196349540849362)(q[12]), cirq.CNOT(q[12], q[9]), u1(-0.196349540849362)(q[9]), cirq.CNOT(q[12], q[9]), u1(0.196349540849362)(q[9]), u1(0.392699081698724)(q[12]), cirq.CNOT(q[12], q[10]), u1(-0.392699081698724)(q[10]), cirq.CNOT(q[12], q[10]), u1(0.392699081698724)(q[10]), u1(0.785398163397448)(q[12]), cirq.CNOT(q[12], q[11]), u1(-0.785398163397448)(q[11]), cirq.CNOT(q[12], q[11]), u1(0.785398163397448)(q[11]), cirq.H(q[12]), cirq.CNOT(q[13], q[0]), u1(-1.91747598485705e-4)(q[0]), cirq.CNOT(q[13], q[0]), u1(1.91747598485705e-4)(q[0]), u1(3.8349519697141e-4)(q[13]), cirq.CNOT(q[13], q[1]), u1(-3.8349519697141e-4)(q[1]), cirq.CNOT(q[13], q[1]), u1(3.8349519697141e-4)(q[1]), u1(7.66990393942821e-4)(q[13]), cirq.CNOT(q[13], q[2]), u1(-7.66990393942821e-4)(q[2]), cirq.CNOT(q[13], q[2]), u1(7.66990393942821e-4)(q[2]), u1(0.00153398078788564)(q[13]), cirq.CNOT(q[13], q[3]), u1(-0.00153398078788564)(q[3]), cirq.CNOT(q[13], q[3]), u1(0.00153398078788564)(q[3]), u1(0.00306796157577128)(q[13]), cirq.CNOT(q[13], q[4]), u1(-0.00306796157577128)(q[4]), cirq.CNOT(q[13], q[4]), u1(0.00306796157577128)(q[4]), u1(0.00613592315154256)(q[13]), cirq.CNOT(q[13], q[5]), u1(-0.00613592315154256)(q[5]), cirq.CNOT(q[13], q[5]), u1(0.00613592315154256)(q[5]), u1(0.0122718463030851)(q[13]), cirq.CNOT(q[13], q[6]), u1(-0.0122718463030851)(q[6]), cirq.CNOT(q[13], q[6]), u1(0.0122718463030851)(q[6]), u1(0.0245436926061703)(q[13]), cirq.CNOT(q[13], q[7]), u1(-0.0245436926061703)(q[7]), cirq.CNOT(q[13], q[7]), u1(0.0245436926061703)(q[7]), u1(0.0490873852123405)(q[13]), cirq.CNOT(q[13], q[8]), u1(-0.0490873852123405)(q[8]), cirq.CNOT(q[13], q[8]), u1(0.0490873852123405)(q[8]), u1(0.098174770424681)(q[13]), cirq.CNOT(q[13], q[9]), u1(-0.098174770424681)(q[9]), cirq.CNOT(q[13], q[9]), u1(0.098174770424681)(q[9]), u1(0.196349540849362)(q[13]), cirq.CNOT(q[13], q[10]), u1(-0.196349540849362)(q[10]), cirq.CNOT(q[13], q[10]), u1(0.196349540849362)(q[10]), u1(0.392699081698724)(q[13]), cirq.CNOT(q[13], q[11]), u1(-0.392699081698724)(q[11]), cirq.CNOT(q[13], q[11]), u1(0.392699081698724)(q[11]), u1(0.785398163397448)(q[13]), cirq.CNOT(q[13], q[12]), u1(-0.785398163397448)(q[12]), cirq.CNOT(q[13], q[12]), u1(0.785398163397448)(q[12]), cirq.H(q[13]), cirq.CNOT(q[14], q[0]), u1(-9.58737992428526e-5)(q[0]), cirq.CNOT(q[14], q[0]), u1(9.58737992428526e-5)(q[0]), u1(1.91747598485705e-4)(q[14]), cirq.CNOT(q[14], q[1]), u1(-1.91747598485705e-4)(q[1]), cirq.CNOT(q[14], q[1]), u1(1.91747598485705e-4)(q[1]), u1(3.8349519697141e-4)(q[14]), cirq.CNOT(q[14], q[2]), u1(-3.8349519697141e-4)(q[2]), cirq.CNOT(q[14], q[2]), u1(3.8349519697141e-4)(q[2]), u1(7.66990393942821e-4)(q[14]), cirq.CNOT(q[14], q[3]), u1(-7.66990393942821e-4)(q[3]), cirq.CNOT(q[14], q[3]), u1(7.66990393942821e-4)(q[3]), u1(0.00153398078788564)(q[14]), cirq.CNOT(q[14], q[4]), u1(-0.00153398078788564)(q[4]), cirq.CNOT(q[14], q[4]), u1(0.00153398078788564)(q[4]), u1(0.00306796157577128)(q[14]), cirq.CNOT(q[14], q[5]), u1(-0.00306796157577128)(q[5]), cirq.CNOT(q[14], q[5]), u1(0.00306796157577128)(q[5]), u1(0.00613592315154256)(q[14]), cirq.CNOT(q[14], q[6]), u1(-0.00613592315154256)(q[6]), cirq.CNOT(q[14], q[6]), u1(0.00613592315154256)(q[6]), u1(0.0122718463030851)(q[14]), cirq.CNOT(q[14], q[7]), u1(-0.0122718463030851)(q[7]), cirq.CNOT(q[14], q[7]), u1(0.0122718463030851)(q[7]), u1(0.0245436926061703)(q[14]), cirq.CNOT(q[14], q[8]), u1(-0.0245436926061703)(q[8]), cirq.CNOT(q[14], q[8]), u1(0.0245436926061703)(q[8]), u1(0.0490873852123405)(q[14]), cirq.CNOT(q[14], q[9]), u1(-0.0490873852123405)(q[9]), cirq.CNOT(q[14], q[9]), u1(0.0490873852123405)(q[9]), u1(0.098174770424681)(q[14]), cirq.CNOT(q[14], q[10]), u1(-0.098174770424681)(q[10]), cirq.CNOT(q[14], q[10]), u1(0.098174770424681)(q[10]), u1(0.196349540849362)(q[14]), cirq.CNOT(q[14], q[11]), u1(-0.196349540849362)(q[11]), cirq.CNOT(q[14], q[11]), u1(0.196349540849362)(q[11]), u1(0.392699081698724)(q[14]), cirq.CNOT(q[14], q[12]), u1(-0.392699081698724)(q[12]), cirq.CNOT(q[14], q[12]), u1(0.392699081698724)(q[12]), u1(0.785398163397448)(q[14]), cirq.CNOT(q[14], q[13]), u1(-0.785398163397448)(q[13]), cirq.CNOT(q[14], q[13]), u1(0.785398163397448)(q[13]), cirq.H(q[14]), cirq.measure(q[0], key='c0'), cirq.measure(q[1], key='c1'), cirq.measure(q[2], key='c2'), cirq.measure(q[3], key='c3'), cirq.measure(q[4], key='c4'), cirq.measure(q[5], key='c5'), cirq.measure(q[6], key='c6'), cirq.measure(q[7], key='c7'), cirq.measure(q[8], key='c8'), cirq.measure(q[9], key='c9'), cirq.measure(q[10], key='c10'), cirq.measure(q[11], key='c11'), cirq.measure(q[12], key='c12'), cirq.measure(q[13], key='c13'), cirq.measure(q[14], key='c14') ) start = time.time() simulator = cirq.Simulator() result = simulator.run(circuit, repetitions=1) result_dict = dict(result.multi_measurement_histogram(keys=['c0', 'c1', 'c2', 'c3', 'c4', 'c5', 'c6', 'c7', 'c8', 'c9', 'c10', 'c11', 'c12', 'c13', 'c14'])) keys = list(map(lambda arr: reduce(lambda x, y: str(x) + str(y), arr[::-1]), result_dict.keys())) counts = dict(zip(keys,[value for value in result_dict.values()])) #print(counts) end = time.time() print("qft_n15 simulate on Cirq:" + str(end-start))

31.603478

156

0.557836

3,136

18,172

3.229911

0.031888

0.084411

0.186593

0.078784

0.914997

0.907

0.824267

0.785073

0.698588

0

0.436435

0.170207

18,172

574

157

31.658537

0.235294

0.000715

0

0.538462

0

0.005287

0

1

0.001748

false

0

0.006993

0.001748

0.01049

0.001748

0

null

0

1

0

1

0

1

0

1

0

1

0

null

0

8

579b246c661c3a0a8eae9e959fbac7d19ca37939

35,723

py

Python

package/ja_pytest_v2.py

wolfmib/ja_slot_line

6d617fbff7239c4405209e943ae9c16f88a1f32f

[ "MIT" ]

null

package/ja_pytest_v2.py

wolfmib/ja_slot_line

6d617fbff7239c4405209e943ae9c16f88a1f32f

[ "MIT" ]

null

package/ja_pytest_v2.py

wolfmib/ja_slot_line

6d617fbff7239c4405209e943ae9c16f88a1f32f

[ "MIT" ]

null

import copy """ let's test pytest. v1: meet basic symbol-win-lines: only for 3, 4 , 5 line wins 🌟🌟🌟🌟 v2: add S1: 3 (counts), 4(counts), 5(counts) winning scores. """ # slot for 25 lines # thanks to mary for implement... line_25_setting = [ [1,1,1,1,1], # 1 [0,0,0,0,0], # 2 [2,2,2,2,2], # 3 [0,1,2,1,0], # 4 [2,1,0,1,2], # 5 [0,0,1,0,0], # 6 [2,2,1,2,2], # 7 [1,2,2,2,1], # 8 [1,0,0,0,1], # 9 [1,0,1,0,1], # 10 [1,2,1,2,1], # 11 [0,1,0,1,0], # 12 [2,1,2,1,2], # 13 [1,1,0,1,1], # 14 [1,1,2,1,1], # 15 [0,1,1,1,0], # 16 [2,1,1,1,2], # 17 [0,2,0,2,0], # 18 [2,0,2,0,2], # 19 [0,2,2,2,0], # 20 [2,0,0,0,2], # 21 [0,0,2,0,0], # 22 [2,2,0,2,2], # 23 [0,2,1,2,0], # 24 [2,0,1,0,2] # 25 ] line_obj_bet_rate = { "H1": {2: 2, 3: 30, 4: 200, 5: 750}, "H2": {2: 2, 3: 30, 4: 100, 5: 750}, "H3": {2: 0, 3: 25, 4: 75, 5: 400}, "H4": {2: 0, 3: 20, 4: 75, 5: 300}, "H5": {2: 0, 3: 20, 4: 50, 5: 300}, "L1": {2: 0, 3: 15, 4: 30, 5: 150}, "L2": {2: 0, 3: 15, 4: 30, 5: 150}, "L3": {2: 0, 3: 10, 4: 25, 5: 130}, "L4": {2: 0, 3: 10, 4: 25, 5: 130}, "L5": {2: 0, 3: 5, 4: 20, 5: 100}, "L6": {2: 2, 3: 5, 4: 20, 5: 100}, "W1": {2: 35, 3: 250, 4: 2500, 5: 10000}, "S1": {2: 2, 3: 5, 4: 20, 5: 500}, } # 🌟🌟🌟🌟: add the S1 # :also add the H1-H5, L1-L5 2 cases. line_obj_25_test_coverage = { "H1": { 2: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 3: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 4: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 5: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False} }, "H2": { 2: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 3: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 4: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 5: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False} }, "H3": { 2: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 3: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 4: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 5: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False} }, "H4": { 2: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 3: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 4: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 5: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False} }, "H5": { 2: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 3: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 4: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 5: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False} }, "L1": { 2: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 3: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 4: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 5: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False} }, "L2": { 2: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 3: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 4: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 5: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False} }, "L3": { 2: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 3: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 4: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 5: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False} }, "L4": { 2: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 3: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 4: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 5: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False} }, "L5": { 2: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 3: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 4: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 5: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False} }, "L6": { 2: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 3: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 4: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 5: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False} }, "W1": { 2: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 3: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 4: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False}, 5: {1:False, 2:False, 3:False, 4:False, 5:False, 6:False, 7:False, 8:False, 9:False, 10:False, 11:False, 12:False, 13:False, 14:False, 15:False, 16:False, 17:False, 18:False, 19:False, 20:False, 21:False, 22:False, 23:False, 24:False, 25:False} }, "S1":{ 2:{ 1: False}, 3:{ 1: False}, 4:{ 1: False}, 5:{ 1: False} } } def test_non_wild(input_obj,input_list): test_list = copy.deepcopy(input_list) if input_obj in test_list: while input_obj in test_list: test_list.remove(input_obj) while "W1" in test_list: test_list.remove("W1") else: return False if not test_list: return True else: return False ## 說明 ## 通常系統判斷W1-3蓮, 利用這個確認此盤面是否是4連 True: 是, False: 不是 ## input_obj = "W1" ## input_list = ["W1","W1","W1","W1"] return True ## input_obj = "W1" ## input_list = ["W1","W1","W1","H1"] return False def test_wild_v1(input_obj, input_list): test_list = copy.deepcopy(input_list) if input_obj in test_list: while "W1" in test_list: test_list.remove("W1") else: return False # 表示input_list 中全部都是wilds, test_list is empty now. if not test_list: return True # 表示input_list 中不全然是wilds, test_list is NOT empty else: return False class agent(): def __init__(self): print("🧪 :[ja_pytest]: Please tune the parameter in the script so that the test will working with correct setting_informaiton") print("🧪 :[ja_pytest]: you get it ?") input() self.line_setting = line_25_setting self.line_obj_bet_rate = line_obj_bet_rate self.line_obj_25_test_coverage = line_obj_25_test_coverage print(self.line_setting) print("-------") print(self.line_obj_bet_rate) print("---------") input("🧪 :[ja_pytest]: confirm two setting !") print("------------") print(self.line_obj_25_test_coverage) print("------------") input("🧪 :[ja_pytest]: confirm test coverage map !\n") # 🌟🌟🌟: how_many_cases: v2 version. add new cases S1. cnt = 0 for any_obj in self.line_obj_25_test_coverage: for any_win_line in self.line_obj_25_test_coverage[any_obj]: tem_len = len(self.line_obj_25_test_coverage[any_obj][any_win_line]) cnt += tem_len print("🧪 :[ja_pytest]: load ", any_obj, " ",any_win_line, " ", tem_len, " total_size = ",cnt) self.how_many_cases = cnt self.passed_cases = 0 input("🧪 :[ja_pytest]: total test cases = %4d, current passed cases = %2d \n"%(self.how_many_cases,self.passed_cases)) # Wild notification print("🧪 : This test will apply only 'W1' for step_2_test_line_index() testing ") input("[ja_pytest]: do you copy ?") # H1, 3 -> 50 # H1, 4 -> 80 for example # if match, return True, if False return False def step_1_test_bet_amount(self,test_bet_rate,input_obj,input_win_line): if test_bet_rate == self.line_obj_bet_rate[input_obj][input_win_line]: return True else: print("🧪 :[ja_pytest]: raised error with test_bet_amount") print("test_bet_rate = ", test_bet_rate, " self.line_obj_rate[%s][%d] = "%(input_obj,input_win_line),self.line_obj_bet_rate[input_obj][input_win_line]) assert test_bet_rate == self.line_obj_bet_rate[input_obj][input_win_line] # W1 or (W1, W2 ) pairs ,depend on slot-game, implement by your self. # now the case is that "it's W1 only" def step_2_test_line_index(self,test_line_index,input_obj,input_win_line,input_list_r): # 💡: quick error_diaplay_function. def __show_step_2_error_info(ii_test_line_index,ii_obj,ii_win_line,ii_list_r): ui_line_index = ii_test_line_index + 1 print("ii_test_line_index = ",ui_line_index) print("ii_obj = ",ii_obj) print("ii_win_line = ",ii_win_line) print("ii_list_r = ",ii_list_r) # 🌟🌟🌟: add S1 Cases if input_obj == "S1": print("[ja_pytest]: meet S1 cases") # the S1 , 3, 4, 5 only have one test_line_index each assert test_line_index == 1 # count S1 again s1_check_cnts = 0 for any_col_list in input_list_r: for any_obj in any_col_list: if any_obj == "S1": s1_check_cnts += 1 if s1_check_cnts != input_win_line: # 💡 讓我指引你一盞明燈 __show_step_2_error_info(test_line_index,input_obj,input_win_line,input_list_r) return False else: return True # 🌟🌟🌟: implement the 2, 3, 4, 5 win_line later... 🙃 else: obj_1 = input_list_r[0][self.line_setting[test_line_index][0]] obj_2 = input_list_r[1][self.line_setting[test_line_index][1]] obj_3 = input_list_r[2][self.line_setting[test_line_index][2]] obj_4 = input_list_r[3][self.line_setting[test_line_index][3]] obj_5 = input_list_r[4][self.line_setting[test_line_index][4]] # consider non-wild case and in the line_setting dict: if input_obj in self.line_obj_bet_rate: # add error_cases, input_win_line might be 4 or 5 if input_win_line == 3: # check error_case win_line=5 check_win_5_list = [obj_1,obj_2,obj_3,obj_4,obj_5] res = test_non_wild(input_obj,check_win_5_list) if res == True: print("[ja_pytest]: False: judge win_line 3, but the win_line is 5 ") # 💡 __show_step_2_error_info(test_line_index,input_obj,input_win_line,input_list_r) # didn't pass test return False else: pass # check error_case win_line = 4 check_win_4_list = [obj_1,obj_2,obj_3,obj_4] res = test_non_wild(input_obj,check_win_4_list) if res == True: print("[ja_pytest]: False: judge win_line 3, but the win_line is 4") # 💡 __show_step_2_error_info(test_line_index,input_obj,input_win_line,input_list_r) # didn't pass test return False else: pass # check it's 3 line or not check_win_3_list = [obj_1,obj_2,obj_3] res = test_non_wild(input_obj,check_win_3_list) if res == True: pass else: print("[ja_pytest]: False: judge win_line 3, but the win_line is not") # 💡 __show_step_2_error_info(test_line_index,input_obj,input_win_line,input_list_r) # didn't pass test return False # add error case, input_win_line= 5 elif input_win_line == 4: # check error_case win_line=5 check_win_5_list = [obj_1,obj_2,obj_3,obj_4,obj_5] res = test_non_wild(input_obj,check_win_5_list) if res == True: print("[ja_pytest]: False: judge win_line 4, but the win_line is 5") # 💡 __show_step_2_error_info(test_line_index,input_obj,input_win_line,input_list_r) # didn't pass test return False else: pass # check it's 4 line or not check_win_4_list = [obj_1,obj_2,obj_3,obj_4] res = test_non_wild(input_obj,check_win_4_list) if res == True: pass else: print("[ja_pytest]: False: judge win_line 4, but the win_line is not") # 💡 __show_step_2_error_info(test_line_index,input_obj,input_win_line,input_list_r) # didn't pass test return False elif input_win_line == 5: # check it's 5 line or not check_win_5_list = [obj_1,obj_2,obj_3,obj_4,obj_5] res = test_non_wild(input_obj,check_win_5_list) if res == True: pass else: print("[ja_pytest]: False: judge win_line 5, but the win_line is not") # 💡 __show_step_2_error_info(test_line_index,input_obj,input_win_line,input_list_r) # didn't pass test return False elif input_win_line == 2: # check it's 2 line or not check_win_2_list = [obj_1,obj_2] res = test_non_wild(input_obj,check_win_2_list) if res == True: pass else: print("[ja_pytest]: False: judge win_line 2, but the win_line is not") # 💡 __show_step_2_error_info(test_line_index,input_obj,input_win_line,input_list_r) # didn't pass test return False else: print("[ja_pytest]: False: unspport win_line 3 or 4 or 5: ",input_win_line) return False # Remove all false cases, the rest case is pass. return True return True # consider the "Wild case" elif input_obj == "W1": # add error_cases, input_win_line might be 4 or 5 if input_win_line == 3: # check error_case win_line=5 check_win_5_list = [obj_1,obj_2,obj_3,obj_4,obj_5] res = test_wild_v1(input_obj,check_win_5_list) if res == True: print("[ja_pytest]: False: judge win_line 3, but the win_line is 5") # didn't pass test return False else: pass # check error_case win_line = 4 check_win_4_list = [obj_1,obj_2,obj_3,obj_4] res = test_wild_v1(input_obj,check_win_4_list) if res == True: print("[ja_pytest]: False: judge win_line 3, but the win_line is 4") # didn't pass test return False else: pass # check it's 3 line or not check_win_3_list = [obj_1,obj_2,obj_3] res = test_wild_v1(input_obj,check_win_3_list) if res == True: pass else: print("[ja_pytest]: False: judge win_line 3, but the win_line is not") # didn't pass test return False elif input_win_line == 4: # check error_case win_line=5 check_win_5_list = [obj_1,obj_2,obj_3,obj_4,obj_5] res = test_wild_v1(input_obj,check_win_5_list) if res == True: print("[ja_pytest]: False: judge win_line 3, but the win_line is 5") # didn't pass test return False else: pass # check it's 4 line or not check_win_4_list = [obj_1,obj_2,obj_3,obj_4] res = test_wild_v1(input_obj,check_win_4_list) if res == True: pass else: print("[ja_pytest]: False: judge win_line 4, but the win_line is not") # didn't pass test return False elif input_win_line == 5: # check it's 5 line or not check_win_5_list = [obj_1,obj_2,obj_3,obj_4,obj_5] res = test_wild_v1(input_obj,check_win_5_list) if res == True: pass else: print("[ja_pytest]: False: judge win_line 5, but the win_line is not") # didn't pass test return False elif input_win_line == 2: # check error_case win_line=5 check_win_5_list = [obj_1,obj_2,obj_3,obj_4,obj_5] res = test_wild_v1(input_obj,check_win_5_list) if res == True: print("[ja_pytest]: False: judge win_line 2, but the win_line is 5") # didn't pass test return False else: pass # check error_case win_line = 4 check_win_4_list = [obj_1,obj_2,obj_3,obj_4] res = test_wild_v1(input_obj,check_win_4_list) if res == True: print("[ja_pytest]: False: judge win_line 2, but the win_line is 4") # didn't pass test return False else: pass # check error_case win_line = 3 check_win_3_list = [obj_1,obj_2,obj_3] res = test_wild_v1(input_obj,check_win_3_list) if res == True: print("[ja_pytest]: False: judge win_line 2, but the win_line is 3") # didn't pass test return False else: pass # check it's 2 line or not check_win_2_list = [obj_1,obj_2] res = test_wild_v1(input_obj,check_win_2_list) if res == True: pass else: print("[ja_pytest]: False: judge win_line 2, but the win_line is not") # didn't pass test return False else: print("[ja_pytest]: False: unspport win_line 3 or 4 or 5: ",input_win_line) return False # Remove all false cases, the rest case is pass. return True return True else: print("Error: The obj: %s is not in the line_obj_dict: \n %s \n"%(input_obj,self.line_obj_bet_rate)) return False # # 🌟🌟🌟: add S1 Cases def step_3_test_win_line_20_gain_v1(self,test_gain,input_obj,input_win_line,input_line_index): if input_obj == "S1": expected_gain = self.line_obj_bet_rate[input_obj][input_win_line] # 🌟: S1 input_line_index = 1 if test_gain == expected_gain: if self.line_obj_25_test_coverage[input_obj][input_win_line][input_line_index] == True: pass else: self.line_obj_25_test_coverage[input_obj][input_win_line][input_line_index] = True print("[ja_pytest][keyword_pytest_coverage]: current test_coverage updated: obj: %s win_line: %d ui_line_index %d "%(input_obj,input_win_line,input_line_index)) # 💡 # self.show_test_coverage() return True else: return False else: # Jason: gain = bet_rate / 25 expected_gain = float(self.line_obj_bet_rate[input_obj][input_win_line] / 25) print("test_gain = ",test_gain) print("expec gain ",expected_gain) if test_gain == expected_gain: # Debug: print("[Debug]: the line_index = ",input_line_index) # Debug: input() # Debug: print("[ja_pytest]: pass case obj: %s , win_line: %2d , ui_line_index: %2d ,gain: %.4f"%(input_obj,input_win_line,input_line_index+1,expected_gain)) # Debug: print("[Debug]: input_obj ",input_obj) # Debug: print("[Debug]: input_win_line ",input_win_line) # Debug: print("[Debug]: input_line_index ",input_line_index) # Set the test_coverage: # 🌟: for non-S1 symbols, we add index +1 , for ui_purpose. ui_line_index = input_line_index + 1 if self.line_obj_25_test_coverage[input_obj][input_win_line][ui_line_index] == True: pass else: self.line_obj_25_test_coverage[input_obj][input_win_line][ui_line_index] = True print("[ja_pytest][keyword_pytest_coverage]: current test_coverage updated: obj: %s win_line: %d ui_line_index %d "%(input_obj,input_win_line,ui_line_index)) # 💡 #self.show_test_coverage() return True else: return False # 🌟🌟🌟: v2 version optimized the coding to meet different win_line between (W1, H1, H2) to others. def show_test_coverage(self,key="slot_04"): if key == "slot_04": for any_obj in self.line_obj_25_test_coverage: for any_win_line in self.line_obj_25_test_coverage[any_obj]: print("\n---------Symbol: %s WinLine: %d------------------------"%(any_obj,any_win_line)) print(self.line_obj_25_test_coverage) """ 之前v1 程式的拉.... for any_obj in self.line_obj_25_test_coverage: if any_obj == "W1" or any_obj == "H1" or any_obj == "H2": print("\n---------------%s----------------"%any_obj) print("----------- 3 ------------") print(line_obj_25_test_coverage[any_obj][3]) print("----------- 4 ------------") print(line_obj_25_test_coverage[any_obj][4]) print("----------- 5 ------------") print(line_obj_25_test_coverage[any_obj][5]) print("-----------------------------------\n") """ # 🌟🌟🌟: v2 version optimzed the coding to meet different win_line between (W1, H1, H2) to others. def show_test_cases_coverage(self): # Recalculate again self.passed_cases = 0 for any_obj in self.line_obj_25_test_coverage: for any_win_line in self.line_obj_25_test_coverage[any_obj]: for any_line_index in self.line_obj_25_test_coverage[any_obj][any_win_line]: if self.line_obj_25_test_coverage[any_obj][any_win_line][any_line_index]: self.passed_cases += 1 else: pass print("🧪: how_many_cases = ",self.how_many_cases) print("🧪: how_many_cases_pass = ",self.passed_cases) print("🧪: Test coerage. = %.4f"%float(self.passed_cases/self.how_many_cases)) """ [{'win_obj': 'H2', 'win_line': 3, 'win_list_r': [['W1', 'L2', 'L1'], ['W1', 'L1', 'L4'], ['H2', 'H4', 'L6'], ['L6', 'L4', 'H2'], ['S1', 'L5', 'H4']], 'win_gain': 0.0, 'win_line_index': 1, 'win_bet_rate': 40.0}, {'win_obj': 'W1', 'win_line': 2, 'win_list_r': [['W1', 'L2', 'L1'], ['W1', 'L1', 'L4'], ['H2', 'H4', 'L6'], ['L6', 'L4', 'H2'], ['S1', 'L5', 'H4']], 'win_gain': 2.0, 'win_line_index': 5, 'win_bet_rate': 40.0}] test_gain = 0.0 expec gain 2.0 bug H4-4: gain = 0.0 ? [{'win_obj': 'H1', 'win_line': 4, 'win_list_r': [['S1', 'H3', 'W1'], ['H3', 'W1', 'L2'], ['H3', 'W1', 'L2'], ['L5', 'H1', 'L6'], ['L5', 'H4', 'L6']], 'win_gain': 0.0, 'win_line_index': 10, 'win_bet_rate': 500.0 } Root cause: W-3 pay score = 500 , it's equal to H1-4 pay score = 500 as well... causing the wild_gain ~ obj_gain, so the code didn't assign current_gain in this case.. Fix after chaning the W-3 pay scores from 500 to 600 """ if __name__ == "__main__": """ win_obj = "H1" win_line = 3 print("win_obj = ",win_obj) print("win_line = ",win_line) print("win_bet = ",line_obj_bet_rate[win_obj][win_line]) for any_obj in line_obj_25_test_coverage: print("\n---------------%s----------------"%any_obj) print(line_obj_25_test_coverage[any_obj]) print("-----------------------------------\n") """ test_agent = agent() test_agent.show_test_cases_coverage()

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Python

nest_py/tests/unit/db/test_db_ops_utils.py

KnowEnG/platform

7356fabf5e2db4171ef1f910514436b69ecaa701

[ "MIT" ]

2

2020-02-12T22:20:51.000Z

2020-07-31T03:19:51.000Z

nest_py/tests/unit/db/test_db_ops_utils.py

KnowEnG/platform

7356fabf5e2db4171ef1f910514436b69ecaa701

[ "MIT" ]

1

2021-06-02T00:29:02.000Z

nest_py/tests/unit/db/test_db_ops_utils.py

KnowEnG/platform

7356fabf5e2db4171ef1f910514436b69ecaa701

[ "MIT" ]

1

2018-01-03T22:56:27.000Z

import pytest import nest_py.core.db.db_ops_utils as db_ops_utils def test_validate_configs(): """Tests __init__.""" # no app with pytest.raises(AttributeError): db_ops_utils._validate_user_configs(None) # no DEMO_AUTHENTICATION_ACCOUNTS key in config with pytest.raises(AttributeError): db_ops_utils._validate_user_configs([]) # duplicate usernames with pytest.raises(AttributeError): db_ops_utils._validate_user_configs( [ { 'username': 'demouser', 'password': 'demopass', 'given_name': 'Demo', 'family_name': 'User', }, { 'username': 'demouser', 'password': 'otherpass', 'given_name': 'Other', 'family_name': 'User', } ]) # no username with pytest.raises(AttributeError): db_ops_utils._validate_user_configs( [{ 'password': 'demopass', 'given_name': 'Demo', 'family_name': 'User'}]) # no password with pytest.raises(AttributeError): db_ops_utils._validate_user_configs( [{ 'username': 'demouser', 'given_name': 'Demo', 'family_name': 'User'}]) # no given_name with pytest.raises(AttributeError): db_ops_utils._validate_user_configs( [{ 'username': 'demouser', 'password': 'demopass', 'family_name': 'User'}]) # no family_name with pytest.raises(AttributeError): db_ops_utils._validate_user_configs( [{ 'username': 'demouser', 'password': 'demopass', 'given_name': 'Demo'}]) # empty username with pytest.raises(AttributeError) as exc: db_ops_utils._validate_user_configs( [{ 'username': '', 'password': 'demopass', 'given_name': 'Demo', 'family_name': 'User'}]) assert str(exc.value) == 'username cannot be empty' # empty password with pytest.raises(AttributeError) as exc: db_ops_utils._validate_user_configs( [{ 'username': 'demouser', 'password': '', 'given_name': 'Demo', 'family_name': 'User'}]) assert str(exc.value) == 'password cannot be empty' # empty given_name with pytest.raises(AttributeError) as exc: db_ops_utils._validate_user_configs( [{ 'username': 'demouser', 'password': 'demopass', 'given_name': '', 'family_name': 'User'}]) assert str(exc.value) == 'given_name cannot be empty' # empty family_name with pytest.raises(AttributeError) as exc: db_ops_utils._validate_user_configs( [{ 'username': 'demouser', 'password': 'demopass', 'given_name': 'Demo', 'family_name': ''}]) assert str(exc.value) == 'family_name cannot be empty' # spaces-only username with pytest.raises(AttributeError) as exc: db_ops_utils._validate_user_configs( [{ 'username': ' ', 'password': 'demopass', 'given_name': 'Demo', 'family_name': 'User'}]) assert str(exc.value) == 'username cannot be empty' # spaces-only password with pytest.raises(AttributeError) as exc: db_ops_utils._validate_user_configs( [{ 'username': 'demouser', 'password': ' ', 'given_name': 'Demo', 'family_name': 'User'}]) assert str(exc.value) == 'password cannot be empty' # space-only given_name with pytest.raises(AttributeError) as exc: db_ops_utils._validate_user_configs( [{ 'username': 'demouser', 'password': 'demopass', 'given_name': ' ', 'family_name': 'User'}]) assert str(exc.value) == 'given_name cannot be empty' # spaces-only family_name with pytest.raises(AttributeError) as exc: db_ops_utils._validate_user_configs( [{ 'username': 'demouser', 'password': 'demopass', 'given_name': 'Demo', 'family_name': ' '}]) assert str(exc.value) == 'family_name cannot be empty' # username w/ spaces with pytest.raises(AttributeError) as exc: db_ops_utils._validate_user_configs( [{ 'username': 'demouser ', 'password': 'demopass', 'given_name': 'Demo', 'family_name': 'User'}]) assert str(exc.value) == \ 'DEMO_AUTHENTICATION_USERNAME cannot contain spaces' # password w/ spaces with pytest.raises(AttributeError): db_ops_utils._validate_user_configs( [{ 'username': 'demouser', 'password': 'demopass ', 'given_name': 'Demo', 'family_name': 'User'}]) assert str(exc.value) == \ 'DEMO_AUTHENTICATION_PASSWORD cannot contain spaces' # good username and password db_ops_utils._validate_user_configs( [ { 'username': 'demouser', 'userid': 11, 'password': 'demopass', 'given_name': 'Demo', 'family_name': 'User', }, { 'username': 'otheruser', 'userid': 12, 'password': 'otherpass', 'given_name': 'Other', 'family_name': 'User', } ]) return

33.534091

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null

0

1

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9

17e4d856cbfec58bccddf7b3542411ae951b419b

8,097

py

Python

tests/test_factories/test_algorithms.py

j2slab/MLStudio

7d7c4b1073617968c28f0e496020e4720b552451

[ "BSD-3-Clause" ]

1

2019-05-13T01:07:23.000Z

tests/test_factories/test_algorithms.py

DecisionScients/MLStudio

7d7c4b1073617968c28f0e496020e4720b552451

[ "BSD-3-Clause" ]

1

2020-04-11T22:14:42.000Z

tests/test_factories/test_algorithms.py

decisionscients/MLStudio

7d7c4b1073617968c28f0e496020e4720b552451

[ "BSD-3-Clause" ]

null

# -*- coding:utf-8 -*- # =========================================================================== # # Project : MLStudio # # File : \test_algorithms.py # # Python : 3.8.3 # # --------------------------------------------------------------------------- # # Author : John James # # Company : nov8.ai # # Email : jjames@nov8.ai # # URL : https://github.com/nov8ai/MLStudio # # --------------------------------------------------------------------------- # # Created : Friday, August 7th 2020, 4:57:39 am # # Last Modified : Friday, August 7th 2020, 4:57:39 am # # Modified By : John James (jjames@nov8.ai) # # --------------------------------------------------------------------------- # # License : BSD # # Copyright (c) 2020 nov8.ai # # =========================================================================== # import numpy as np import pytest from pytest import mark from mlstudio.factories.algorithms import GradientDescent from mlstudio.supervised.algorithms.optimization.observers import early_stop from mlstudio.supervised.algorithms.optimization.observers import learning_rate from mlstudio.supervised.algorithms.optimization.services import loss, regularizers from mlstudio.supervised.algorithms.optimization.services import activations # --------------------------------------------------------------------------- # @mark.factories class GDFactoryTests: def test_regression_factories(self): # Test #1: Immutable parameters: estimator = GradientDescent().regressor(eta0=0.05, epochs=2000, batch_size=32, val_size=0.4, theta_init=5, verbose=True, random_state=5, check_gradient=True) assert estimator.eta0 == 0.05, "eta0 error" assert estimator.epochs == 2000, "epochs error" assert estimator.batch_size == 32, "batch_size error" assert estimator.val_size == 0.4, "val_size error" assert estimator.theta_init == 5, "theta_init error" assert estimator.verbose == True, "verbose error" assert estimator.random_state == 5, "random_state error" assert estimator.check_gradient == True, "check_gradient error" # Test #2: Loss estimator = GradientDescent().regressor(loss=loss.Quadratic(regularizer=regularizers.L2())) assert "L2" in estimator.loss.regularizer.name, "Loss initialization error" # Test #3: Data Processor assert "Regression" in estimator.data_processor.__class__.__name__, "Data processor error" # Test #4: Optimizer assert "Gradient" in estimator.optimizer.name, "Optimizer error" # Test #5: Scorer assert "R2" in estimator.scorer.name, "Scorer error" # Test #6: Early stop estimator = GradientDescent().regressor(early_stop=early_stop.EarlyStop()) assert "Early" in estimator.early_stop.name, "Early stop error" # Test #7: Learning rate estimator = GradientDescent().regressor(learning_rate=learning_rate.TimeDecay()) assert "Time" in estimator.learning_rate.name, "Learning rate error" def test_binaryclass_factories(self): # Test #1: Immutable parameters: estimator = GradientDescent().binaryclass(eta0=0.05, epochs=2000, batch_size=32, val_size=0.4, theta_init=5, verbose=True, random_state=5, check_gradient=True) assert estimator.eta0 == 0.05, "eta0 error" assert estimator.epochs == 2000, "epochs error" assert estimator.batch_size == 32, "batch_size error" assert estimator.val_size == 0.4, "val_size error" assert estimator.theta_init == 5, "theta_init error" assert estimator.verbose == True, "verbose error" assert estimator.random_state == 5, "random_state error" assert estimator.check_gradient == True, "check_gradient error" # Test #2: Loss estimator = GradientDescent().binaryclass(loss=loss.CrossEntropy(regularizer=regularizers.L2())) assert "L2" in estimator.loss.regularizer.name, "Loss initialization error" # Test #3: Data Processor assert "Binary" in estimator.data_processor.__class__.__name__, "Data processor error" # Test #4: Optimizer assert "Gradient" in estimator.optimizer.name, "Optimizer error" # Test #5: Scorer assert "accuracy" in estimator.scorer.name, "Scorer error" # Test #6: Early stop estimator = GradientDescent().binaryclass(early_stop=early_stop.EarlyStop()) assert "Early" in estimator.early_stop.name, "Early stop error" # Test #7: Learning rate estimator = GradientDescent().binaryclass(learning_rate=learning_rate.TimeDecay()) assert "Time" in estimator.learning_rate.name, "Learning rate error" def test_multiclass_factories(self): # Test #1: Immutable parameters: estimator = GradientDescent().multiclass(eta0=0.05, epochs=2000, batch_size=32, val_size=0.4, theta_init=5, verbose=True, random_state=5, check_gradient=True) assert estimator.eta0 == 0.05, "eta0 error" assert estimator.epochs == 2000, "epochs error" assert estimator.batch_size == 32, "batch_size error" assert estimator.val_size == 0.4, "val_size error" assert estimator.theta_init == 5, "theta_init error" assert estimator.verbose == True, "verbose error" assert estimator.random_state == 5, "random_state error" assert estimator.check_gradient == True, "check_gradient error" # Test #2: Loss estimator = GradientDescent().multiclass(loss=loss.CategoricalCrossEntropy(regularizer=regularizers.L2())) assert "L2" in estimator.loss.regularizer.name, "Loss initialization error" # Test #3: Data Processor assert "Multi" in estimator.data_processor.__class__.__name__, "Data processor error" # Test #4: Optimizer assert "Gradient" in estimator.optimizer.name, "Optimizer error" # Test #5: Scorer assert "accuracy" in estimator.scorer.name, "Scorer error" # Test #6: Early stop estimator = GradientDescent().multiclass(early_stop=early_stop.EarlyStop()) assert "Early" in estimator.early_stop.name, "Early stop error" # Test #7: Learning rate estimator = GradientDescent().multiclass(learning_rate=learning_rate.TimeDecay()) assert "Time" in estimator.learning_rate.name, "Learning rate error"

68.042017

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0

null

0

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null

0

1

0

7

17f702499b92c956471715ec020c5fdf28e58822

8,085

py

Python

Apps/FileExplorer/app.py

miyucode/MaxPyOS

d329b3d6be01006c92ac84fc44823139eb2daa39

[ "MIT" ]

2

2022-03-06T17:17:36.000Z

2022-03-08T11:33:03.000Z

Apps/FileExplorer/app.py

miyucode/MaxPyOS

d329b3d6be01006c92ac84fc44823139eb2daa39

[ "MIT" ]

null

Apps/FileExplorer/app.py

miyucode/MaxPyOS

d329b3d6be01006c92ac84fc44823139eb2daa39

[ "MIT" ]

null

from UI.Menu import menu from tkinter import * from tkinter.scrolledtext import ScrolledText from Apps.Notepad.app import notepad, openFile import tkinter.filedialog as fd import tkinter.messagebox as mb import os def fileexplorer(): app = Tk() app.title("MaxPyOS - File Explorer") app.geometry("800x500") app.resizable(False, False) app.iconbitmap("Apps/FileExplorer/icons/fileexplorer-icon.ico") def delete_folder(): dir_to_delete = fd.askdirectory(title="Which folder to delete?", initialdir="System/Users/User/Desktop") if dir_to_delete == "": mb.showerror(title="Error!", message="We\'re not enable to delete this folder !") i = 0 files = os.listdir("System/Users/User/Desktop/") listbox = Listbox(app, selectbackground='SteelBlue', font=("Arial", 10)) listbox.place(relx=0, rely=0, relheight=1, relwidth=1) scrollbar = Scrollbar(listbox, orient=VERTICAL, command=listbox.yview) scrollbar.pack(side=RIGHT, fill=Y) listbox.config(yscrollcommand=scrollbar.set) while i < len(files): listbox.insert(END, files[i]) i += 1 else: os.rmdir(dir_to_delete) mb.showinfo('MaxPyOS - File Explorer','Folder has been deleted with success.') i = 0 files = os.listdir("System/Users/User/Desktop/") listbox = Listbox(app, selectbackground='SteelBlue', font=("Arial", 10)) listbox.place(relx=0, rely=0, relheight=1, relwidth=1) scrollbar = Scrollbar(listbox, orient=VERTICAL, command=listbox.yview) scrollbar.pack(side=RIGHT, fill=Y) listbox.config(yscrollcommand=scrollbar.set) while i < len(files): listbox.insert(END, files[i]) i += 1 def updatelist(): i = 0 files = os.listdir("System/Users/User/Desktop/") listbox = Listbox(app, selectbackground='SteelBlue', font=("Arial", 10)) listbox.place(relx=0, rely=0, relheight=1, relwidth=1) scrollbar = Scrollbar(listbox, orient=VERTICAL, command=listbox.yview) scrollbar.pack(side=RIGHT, fill=Y) listbox.config(yscrollcommand=scrollbar.set) while i < len(files): listbox.insert(END, files[i]) i += 1 def copy_file(): file_to_copy = fd.askopenfilename(title='Choose a file to copy', filetypes=[("All files", "*.*")], initialdir="System/Users/User/Desktop") dir_to_copy_to = fd.askdirectory(title="In which folder to copy to?", initialdir="System/Users/User/Desktop") if file_to_copy == "": mb.showerror(title="Error!", message='We\'re not enable to copy this file !') i = 0 files = os.listdir("System/Users/User/Desktop/") listbox = Listbox(app, selectbackground='SteelBlue', font=("Arial", 10)) listbox.place(relx=0, rely=0, relheight=1, relwidth=1) scrollbar = Scrollbar(listbox, orient=VERTICAL, command=listbox.yview) scrollbar.pack(side=RIGHT, fill=Y) listbox.config(yscrollcommand=scrollbar.set) while i < len(files): listbox.insert(END, files[i]) i += 1 else: if dir_to_copy_to == "": mb.showerror(title="Error!", message='We\'re not enable to copy this file !') i = 0 files = os.listdir("System/Users/User/Desktop/") listbox = Listbox(app, selectbackground='SteelBlue', font=("Arial", 10)) listbox.place(relx=0, rely=0, relheight=1, relwidth=1) scrollbar = Scrollbar(listbox, orient=VERTICAL, command=listbox.yview) scrollbar.pack(side=RIGHT, fill=Y) listbox.config(yscrollcommand=scrollbar.set) while i < len(files): listbox.insert(END, files[i]) i += 1 else: try: shutil.copy(file_to_copy, dir_to_copy_to) mb.showinfo(title='File copied!', message='Your desired file has been copied to your desired location') i = 0 files = os.listdir("System/Users/User/Desktop/") listbox = Listbox(app, selectbackground='SteelBlue', font=("Arial", 10)) listbox.place(relx=0, rely=0, relheight=1, relwidth=1) scrollbar = Scrollbar(listbox, orient=VERTICAL, command=listbox.yview) scrollbar.pack(side=RIGHT, fill=Y) listbox.config(yscrollcommand=scrollbar.set) while i < len(files): listbox.insert(END, files[i]) i += 1 except: mb.showerror(title='Error!', message='We were unable to copy your file to the desired location. Please try again') i = 0 files = os.listdir("System/Users/User/Desktop/") listbox = Listbox(app, selectbackground='SteelBlue', font=("Arial", 10)) listbox.place(relx=0, rely=0, relheight=1, relwidth=1) scrollbar = Scrollbar(listbox, orient=VERTICAL, command=listbox.yview) scrollbar.pack(side=RIGHT, fill=Y) listbox.config(yscrollcommand=scrollbar.set) while i < len(files): listbox.insert(END, files[i]) i += 1 def delete_file(): file = fd.askopenfilename(title='Choose a file to delete', filetypes=[("All files", "*.*")], initialdir="System/Users/User/Desktop") if file == "": mb.showerror(title="Error!", message='We\'re not enable to delete this file !') i = 0 files = os.listdir("System/Users/User/Desktop/") listbox = Listbox(app, selectbackground='SteelBlue', font=("Arial", 10)) listbox.place(relx=0, rely=0, relheight=1, relwidth=1) scrollbar = Scrollbar(listbox, orient=VERTICAL, command=listbox.yview) scrollbar.pack(side=RIGHT, fill=Y) listbox.config(yscrollcommand=scrollbar.set) while i < len(files): listbox.insert(END, files[i]) i += 1 else: os.remove(os.path.abspath(file)) mb.showinfo('MaxPyOS - File Explorer', message='File has been deleted with success.') i = 0 files = os.listdir("System/Users/User/Desktop/") listbox = Listbox(app, selectbackground='SteelBlue', font=("Arial", 10)) listbox.place(relx=0, rely=0, relheight=1, relwidth=1) scrollbar = Scrollbar(listbox, orient=VERTICAL, command=listbox.yview) scrollbar.pack(side=RIGHT, fill=Y) listbox.config(yscrollcommand=scrollbar.set) while i < len(files): listbox.insert(END, files[i]) i += 1 def open_file(): file = fd.askopenfilename(title='Choose a file of any type', filetypes=[("All files", "*.*")], initialdir="System/Users/User/Desktop") if file == "": mb.showerror(title="Error!", message='We\'re not enable to open this file !') i = 0 files = os.listdir("System/Users/User/Desktop/") listbox = Listbox(app, selectbackground='SteelBlue', font=("Arial", 10)) listbox.place(relx=0, rely=0, relheight=1, relwidth=1) scrollbar = Scrollbar(listbox, orient=VERTICAL, command=listbox.yview) scrollbar.pack(side=RIGHT, fill=Y) listbox.config(yscrollcommand=scrollbar.set) while i < len(files): listbox.insert(END, files[i]) i += 1 else: i = 0 files = os.listdir("System/Users/User/Desktop/") listbox = Listbox(app, selectbackground='SteelBlue', font=("Arial", 10)) listbox.place(relx=0, rely=0, relheight=1, relwidth=1) scrollbar = Scrollbar(listbox, orient=VERTICAL, command=listbox.yview) scrollbar.pack(side=RIGHT, fill=Y) listbox.config(yscrollcommand=scrollbar.set) while i < len(files): listbox.insert(END, files[i]) i += 1 split_file = os.path.splitext(file) file_extension = split_file[1] if file_extension == ".txt": openFile(file) else: os.startfile(os.path.abspath(file)) def list_files_in_folder(): i = 0 files = os.listdir("System/Users/User/Desktop/") listbox = Listbox(app, selectbackground='SteelBlue', font=("Arial", 10)) listbox.place(relx=0, rely=0, relheight=1, relwidth=1) scrollbar = Scrollbar(listbox, orient=VERTICAL, command=listbox.yview) scrollbar.pack(side=RIGHT, fill=Y) listbox.config(yscrollcommand=scrollbar.set) while i < len(files): listbox.insert(END, files[i]) i += 1 list_files_in_folder() menubar = Menu(app) file = Menu(menubar, tearoff=0) file.add_command(label="Open a file", command=open_file) file.add_command(label="Delete a file", command=delete_file) file.add_command(label="Copy a file", command=copy_file) file.add_separator() file.add_command(label="Delete a folder", command=delete_folder) file.add_separator() file.add_command(label="Update", command=updatelist) menubar.add_cascade(label="File", menu=file) app.config(menu=menubar) app.mainloop()

39.827586

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0

null

0

1

0

1

0

null

0

7

17ff0d9d5eb2ce39fcab161c498b012dd2fa99a2

100

py

Python

tests/test_code/py/subset_find_exception/two.py

FreddyZeng/code2flow

37e45ca4340289f8ceec79b3fe5131c401387c58

[ "MIT" ]

1

2022-03-16T13:44:35.000Z

tests/test_code/py/subset_find_exception/two.py

FreddyZeng/code2flow

37e45ca4340289f8ceec79b3fe5131c401387c58

[ "MIT" ]

null

tests/test_code/py/subset_find_exception/two.py

FreddyZeng/code2flow

37e45ca4340289f8ceec79b3fe5131c401387c58

[ "MIT" ]

null

def private(): pass class Abra: def func(): private() class Cadabra: def func(): private()

9.090909

14

0.63

13

100

4.846154

0.538462

0.222222

0.444444

0

0.22

100

10

15

10

0.807692

0

0.5

0

1

0.375

true

0.125

0

0.625

0

1

0

null

1

0

null

0

1

0

1

0

7

a4db11eb6825dc0c21af9965b5f0079d90d18566

61

py

Python

enjoy/005_20210731/e02.py

fkubota/enjoy-vim

f1f87ff569ebeea3b84993add200a2c7125cab7a

[ "MIT" ]

26

2021-02-19T11:59:05.000Z

2022-03-07T02:36:18.000Z

enjoy/005_20210731/e02.py

fkubota/enjoy-vim

f1f87ff569ebeea3b84993add200a2c7125cab7a

[ "MIT" ]

5

2021-02-19T13:18:20.000Z

2021-02-28T23:59:08.000Z

enjoy/005_20210731/e02.py

fkubota/enjoy-vim

f1f87ff569ebeea3b84993add200a2c7125cab7a

[ "MIT" ]

null

''' 'b': (3, 4) を 'c': 5に ''' func('hoge', **{'b': (3, 4)})

10.166667

29

0.295082

11

61

1.636364

0.727273

0.222222

0.333333

0

0.104167

0.213115

61

5

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12.2

0.270833

0.344262

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true

0

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null

1

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1

0

1

0

null

0

1

0

7

a4ffbee14c3e15c49b1d90c8429e0d7888c81f14

188,268

py

Python

dingtalk/python/alibabacloud_dingtalk/calendar_1_0/models.py

aliyun/dingtalk-sdk

ab4f856b8cfe94f6b69f10a0730a2e5a7d4901c5

[ "Apache-2.0" ]

15

2020-08-27T04:10:26.000Z

2022-03-07T06:25:42.000Z

dingtalk/python/alibabacloud_dingtalk/calendar_1_0/models.py

aliyun/dingtalk-sdk

ab4f856b8cfe94f6b69f10a0730a2e5a7d4901c5

[ "Apache-2.0" ]

1

2020-09-27T01:30:46.000Z

2021-12-29T09:15:34.000Z

dingtalk/python/alibabacloud_dingtalk/calendar_1_0/models.py

aliyun/dingtalk-sdk

ab4f856b8cfe94f6b69f10a0730a2e5a7d4901c5

[ "Apache-2.0" ]

5

2020-08-27T04:07:44.000Z

2021-12-03T02:55:20.000Z

# -*- coding: utf-8 -*- # This file is auto-generated, don't edit it. Thanks. from Tea.model import TeaModel from typing import Dict, List, Any class CreateAclsHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class CreateAclsRequestScope(TeaModel): def __init__( self, scope_type: str = None, user_id: str = None, ): # 权限类型 self.scope_type = scope_type # 用户id self.user_id = user_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.scope_type is not None: result['scopeType'] = self.scope_type if self.user_id is not None: result['userId'] = self.user_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('scopeType') is not None: self.scope_type = m.get('scopeType') if m.get('userId') is not None: self.user_id = m.get('userId') return self class CreateAclsRequest(TeaModel): def __init__( self, privilege: str = None, send_msg: bool = None, scope: CreateAclsRequestScope = None, ): # 对日历的访问权限 self.privilege = privilege # 是否向授权人发消息 self.send_msg = send_msg # 权限范围 self.scope = scope def validate(self): if self.scope: self.scope.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.privilege is not None: result['privilege'] = self.privilege if self.send_msg is not None: result['sendMsg'] = self.send_msg if self.scope is not None: result['scope'] = self.scope.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('privilege') is not None: self.privilege = m.get('privilege') if m.get('sendMsg') is not None: self.send_msg = m.get('sendMsg') if m.get('scope') is not None: temp_model = CreateAclsRequestScope() self.scope = temp_model.from_map(m['scope']) return self class CreateAclsResponseBodyScope(TeaModel): def __init__( self, scope_type: str = None, user_id: str = None, ): # 权限类型 self.scope_type = scope_type # 用户id self.user_id = user_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.scope_type is not None: result['scopeType'] = self.scope_type if self.user_id is not None: result['userId'] = self.user_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('scopeType') is not None: self.scope_type = m.get('scopeType') if m.get('userId') is not None: self.user_id = m.get('userId') return self class CreateAclsResponseBody(TeaModel): def __init__( self, privilege: str = None, acl_id: str = None, scope: CreateAclsResponseBodyScope = None, ): # 对日历的访问权限 self.privilege = privilege # acl资源ID self.acl_id = acl_id # 权限范围 self.scope = scope def validate(self): if self.scope: self.scope.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.privilege is not None: result['privilege'] = self.privilege if self.acl_id is not None: result['aclId'] = self.acl_id if self.scope is not None: result['scope'] = self.scope.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('privilege') is not None: self.privilege = m.get('privilege') if m.get('aclId') is not None: self.acl_id = m.get('aclId') if m.get('scope') is not None: temp_model = CreateAclsResponseBodyScope() self.scope = temp_model.from_map(m['scope']) return self class CreateAclsResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: CreateAclsResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = CreateAclsResponseBody() self.body = temp_model.from_map(m['body']) return self class ListAclsHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class ListAclsResponseBodyAclsScope(TeaModel): def __init__( self, user_id: str = None, scope_type: str = None, ): # 用户id self.user_id = user_id # 权限类型 self.scope_type = scope_type def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.user_id is not None: result['userId'] = self.user_id if self.scope_type is not None: result['scopeType'] = self.scope_type return result def from_map(self, m: dict = None): m = m or dict() if m.get('userId') is not None: self.user_id = m.get('userId') if m.get('scopeType') is not None: self.scope_type = m.get('scopeType') return self class ListAclsResponseBodyAcls(TeaModel): def __init__( self, privilege: str = None, acl_id: str = None, scope: ListAclsResponseBodyAclsScope = None, ): # 权限信息 self.privilege = privilege # acl资源ID self.acl_id = acl_id # 权限范围 self.scope = scope def validate(self): if self.scope: self.scope.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.privilege is not None: result['privilege'] = self.privilege if self.acl_id is not None: result['aclId'] = self.acl_id if self.scope is not None: result['scope'] = self.scope.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('privilege') is not None: self.privilege = m.get('privilege') if m.get('aclId') is not None: self.acl_id = m.get('aclId') if m.get('scope') is not None: temp_model = ListAclsResponseBodyAclsScope() self.scope = temp_model.from_map(m['scope']) return self class ListAclsResponseBody(TeaModel): def __init__( self, acls: List[ListAclsResponseBodyAcls] = None, ): # 访问控制列表 self.acls = acls def validate(self): if self.acls: for k in self.acls: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['acls'] = [] if self.acls is not None: for k in self.acls: result['acls'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() self.acls = [] if m.get('acls') is not None: for k in m.get('acls'): temp_model = ListAclsResponseBodyAcls() self.acls.append(temp_model.from_map(k)) return self class ListAclsResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: ListAclsResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = ListAclsResponseBody() self.body = temp_model.from_map(m['body']) return self class RespondEventHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class RespondEventRequest(TeaModel): def __init__( self, response_status: str = None, ): self.response_status = response_status def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.response_status is not None: result['responseStatus'] = self.response_status return result def from_map(self, m: dict = None): m = m or dict() if m.get('responseStatus') is not None: self.response_status = m.get('responseStatus') return self class RespondEventResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, ): self.headers = headers def validate(self): self.validate_required(self.headers, 'headers') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') return self class GenerateCaldavAccountHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, ding_uid: str = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers # 授权本次调用的用户id，该字段有值时认为本次调用已被授权访问该用户可以访问的所有数据 self.ding_uid = ding_uid self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.ding_uid is not None: result['dingUid'] = self.ding_uid if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('dingUid') is not None: self.ding_uid = m.get('dingUid') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GenerateCaldavAccountRequest(TeaModel): def __init__( self, device: str = None, ): # 设备名称 self.device = device def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.device is not None: result['device'] = self.device return result def from_map(self, m: dict = None): m = m or dict() if m.get('device') is not None: self.device = m.get('device') return self class GenerateCaldavAccountResponseBody(TeaModel): def __init__( self, server_address: str = None, username: str = None, password: str = None, ): self.server_address = server_address self.username = username self.password = password def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.server_address is not None: result['serverAddress'] = self.server_address if self.username is not None: result['username'] = self.username if self.password is not None: result['password'] = self.password return result def from_map(self, m: dict = None): m = m or dict() if m.get('serverAddress') is not None: self.server_address = m.get('serverAddress') if m.get('username') is not None: self.username = m.get('username') if m.get('password') is not None: self.password = m.get('password') return self class GenerateCaldavAccountResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GenerateCaldavAccountResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GenerateCaldavAccountResponseBody() self.body = temp_model.from_map(m['body']) return self class GetScheduleHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetScheduleRequest(TeaModel): def __init__( self, user_ids: List[str] = None, start_time: str = None, end_time: str = None, ): # 待查询的用户列表 self.user_ids = user_ids # 查询开始时间 self.start_time = start_time # 查询结束时间 self.end_time = end_time def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.user_ids is not None: result['userIds'] = self.user_ids if self.start_time is not None: result['startTime'] = self.start_time if self.end_time is not None: result['endTime'] = self.end_time return result def from_map(self, m: dict = None): m = m or dict() if m.get('userIds') is not None: self.user_ids = m.get('userIds') if m.get('startTime') is not None: self.start_time = m.get('startTime') if m.get('endTime') is not None: self.end_time = m.get('endTime') return self class GetScheduleResponseBodyScheduleInformationScheduleItemsStart(TeaModel): def __init__( self, date: str = None, date_time: str = None, time_zone: str = None, ): # 开始日期 self.date = date # 开始时间戳，按照ISO 8601格式 self.date_time = date_time # 所属时区 self.time_zone = time_zone def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.date is not None: result['date'] = self.date if self.date_time is not None: result['dateTime'] = self.date_time if self.time_zone is not None: result['timeZone'] = self.time_zone return result def from_map(self, m: dict = None): m = m or dict() if m.get('date') is not None: self.date = m.get('date') if m.get('dateTime') is not None: self.date_time = m.get('dateTime') if m.get('timeZone') is not None: self.time_zone = m.get('timeZone') return self class GetScheduleResponseBodyScheduleInformationScheduleItemsEnd(TeaModel): def __init__( self, date: str = None, date_time: str = None, time_zone: str = None, ): # 结束日期 self.date = date # 结束时间戳，按照ISO 8601格式 self.date_time = date_time # 时间戳所属时区 self.time_zone = time_zone def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.date is not None: result['date'] = self.date if self.date_time is not None: result['dateTime'] = self.date_time if self.time_zone is not None: result['timeZone'] = self.time_zone return result def from_map(self, m: dict = None): m = m or dict() if m.get('date') is not None: self.date = m.get('date') if m.get('dateTime') is not None: self.date_time = m.get('dateTime') if m.get('timeZone') is not None: self.time_zone = m.get('timeZone') return self class GetScheduleResponseBodyScheduleInformationScheduleItems(TeaModel): def __init__( self, status: str = None, start: GetScheduleResponseBodyScheduleInformationScheduleItemsStart = None, end: GetScheduleResponseBodyScheduleInformationScheduleItemsEnd = None, ): # 状态: - BUSY：繁忙, - TENTATIVE：暂定繁忙 self.status = status # 开始时间，表示一个日期，或者一个带时区的时间戳 self.start = start # 结束时间，表示一个日期，或者一个带时区的时间戳 self.end = end def validate(self): if self.start: self.start.validate() if self.end: self.end.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.status is not None: result['status'] = self.status if self.start is not None: result['start'] = self.start.to_map() if self.end is not None: result['end'] = self.end.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('status') is not None: self.status = m.get('status') if m.get('start') is not None: temp_model = GetScheduleResponseBodyScheduleInformationScheduleItemsStart() self.start = temp_model.from_map(m['start']) if m.get('end') is not None: temp_model = GetScheduleResponseBodyScheduleInformationScheduleItemsEnd() self.end = temp_model.from_map(m['end']) return self class GetScheduleResponseBodyScheduleInformation(TeaModel): def __init__( self, user_id: str = None, error: str = None, schedule_items: List[GetScheduleResponseBodyScheduleInformationScheduleItems] = None, ): # 用户userId self.user_id = user_id # 异常描述 self.error = error self.schedule_items = schedule_items def validate(self): if self.schedule_items: for k in self.schedule_items: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.user_id is not None: result['userId'] = self.user_id if self.error is not None: result['error'] = self.error result['scheduleItems'] = [] if self.schedule_items is not None: for k in self.schedule_items: result['scheduleItems'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() if m.get('userId') is not None: self.user_id = m.get('userId') if m.get('error') is not None: self.error = m.get('error') self.schedule_items = [] if m.get('scheduleItems') is not None: for k in m.get('scheduleItems'): temp_model = GetScheduleResponseBodyScheduleInformationScheduleItems() self.schedule_items.append(temp_model.from_map(k)) return self class GetScheduleResponseBody(TeaModel): def __init__( self, schedule_information: List[GetScheduleResponseBodyScheduleInformation] = None, ): # 闲忙信息 self.schedule_information = schedule_information def validate(self): if self.schedule_information: for k in self.schedule_information: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['scheduleInformation'] = [] if self.schedule_information is not None: for k in self.schedule_information: result['scheduleInformation'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() self.schedule_information = [] if m.get('scheduleInformation') is not None: for k in m.get('scheduleInformation'): temp_model = GetScheduleResponseBodyScheduleInformation() self.schedule_information.append(temp_model.from_map(k)) return self class GetScheduleResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetScheduleResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetScheduleResponseBody() self.body = temp_model.from_map(m['body']) return self class ConvertLegacyEventIdHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, ding_org_id: str = None, ding_uid: str = None, ding_access_token_type: str = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers # 授权本次调用的企业id，该字段有值时认为本次调用已被授权访问该企业下的所有数据 self.ding_org_id = ding_org_id # 授权本次调用的用户id，该字段有值时认为本次调用已被授权访问该用户可以访问的所有数据 self.ding_uid = ding_uid # 授权类型 self.ding_access_token_type = ding_access_token_type self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.ding_org_id is not None: result['dingOrgId'] = self.ding_org_id if self.ding_uid is not None: result['dingUid'] = self.ding_uid if self.ding_access_token_type is not None: result['dingAccessTokenType'] = self.ding_access_token_type if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('dingOrgId') is not None: self.ding_org_id = m.get('dingOrgId') if m.get('dingUid') is not None: self.ding_uid = m.get('dingUid') if m.get('dingAccessTokenType') is not None: self.ding_access_token_type = m.get('dingAccessTokenType') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class ConvertLegacyEventIdRequest(TeaModel): def __init__( self, legacy_event_ids: Dict[str, str] = None, ): self.legacy_event_ids = legacy_event_ids def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.legacy_event_ids is not None: result['legacyEventIds'] = self.legacy_event_ids return result def from_map(self, m: dict = None): m = m or dict() if m.get('legacyEventIds') is not None: self.legacy_event_ids = m.get('legacyEventIds') return self class ConvertLegacyEventIdResponseBody(TeaModel): def __init__( self, legacy_event_id_map: Dict[str, Any] = None, ): # legacyEventIdMap self.legacy_event_id_map = legacy_event_id_map def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.legacy_event_id_map is not None: result['legacyEventIdMap'] = self.legacy_event_id_map return result def from_map(self, m: dict = None): m = m or dict() if m.get('legacyEventIdMap') is not None: self.legacy_event_id_map = m.get('legacyEventIdMap') return self class ConvertLegacyEventIdResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: ConvertLegacyEventIdResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = ConvertLegacyEventIdResponseBody() self.body = temp_model.from_map(m['body']) return self class RemoveAttendeeHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class RemoveAttendeeRequestAttendeesToRemove(TeaModel): def __init__( self, id: str = None, ): self.id = id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.id is not None: result['id'] = self.id return result def from_map(self, m: dict = None): m = m or dict() if m.get('id') is not None: self.id = m.get('id') return self class RemoveAttendeeRequest(TeaModel): def __init__( self, attendees_to_remove: List[RemoveAttendeeRequestAttendeesToRemove] = None, ): self.attendees_to_remove = attendees_to_remove def validate(self): if self.attendees_to_remove: for k in self.attendees_to_remove: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['attendeesToRemove'] = [] if self.attendees_to_remove is not None: for k in self.attendees_to_remove: result['attendeesToRemove'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() self.attendees_to_remove = [] if m.get('attendeesToRemove') is not None: for k in m.get('attendeesToRemove'): temp_model = RemoveAttendeeRequestAttendeesToRemove() self.attendees_to_remove.append(temp_model.from_map(k)) return self class RemoveAttendeeResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, ): self.headers = headers def validate(self): self.validate_required(self.headers, 'headers') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') return self class AddAttendeeHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class AddAttendeeRequestAttendeesToAdd(TeaModel): def __init__( self, id: str = None, ): self.id = id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.id is not None: result['id'] = self.id return result def from_map(self, m: dict = None): m = m or dict() if m.get('id') is not None: self.id = m.get('id') return self class AddAttendeeRequest(TeaModel): def __init__( self, attendees_to_add: List[AddAttendeeRequestAttendeesToAdd] = None, ): self.attendees_to_add = attendees_to_add def validate(self): if self.attendees_to_add: for k in self.attendees_to_add: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['attendeesToAdd'] = [] if self.attendees_to_add is not None: for k in self.attendees_to_add: result['attendeesToAdd'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() self.attendees_to_add = [] if m.get('attendeesToAdd') is not None: for k in m.get('attendeesToAdd'): temp_model = AddAttendeeRequestAttendeesToAdd() self.attendees_to_add.append(temp_model.from_map(k)) return self class AddAttendeeResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, ): self.headers = headers def validate(self): self.validate_required(self.headers, 'headers') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') return self class CreateEventHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class CreateEventRequestStart(TeaModel): def __init__( self, date: str = None, date_time: str = None, time_zone: str = None, ): # 日程开始日期，如果是全天日程必须有值，非全天日程必须留空，格式：yyyy-MM-dd self.date = date # 日程开始时间，非全天日程必须有值，全天日程必须留空，格式为ISO-8601的date-time格式 self.date_time = date_time # 日程开始时间所属时区，非全天日程必须有值，全天日程必须留空，tz database name格式，参考：https://en.wikipedia.org/wiki/List_of_tz_database_time_zones self.time_zone = time_zone def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.date is not None: result['date'] = self.date if self.date_time is not None: result['dateTime'] = self.date_time if self.time_zone is not None: result['timeZone'] = self.time_zone return result def from_map(self, m: dict = None): m = m or dict() if m.get('date') is not None: self.date = m.get('date') if m.get('dateTime') is not None: self.date_time = m.get('dateTime') if m.get('timeZone') is not None: self.time_zone = m.get('timeZone') return self class CreateEventRequestEnd(TeaModel): def __init__( self, date: str = None, date_time: str = None, time_zone: str = None, ): # 日程结束日期，如果是全天日程必须有值，非全天日程必须留空，格式：yyyy-MM-dd self.date = date # 日程结束时间，非全天日程必须有值，全天日程必须留空，格式为ISO-8601的date-time格式 self.date_time = date_time # 日程结束时间所属时区，非全天日程必须有值，全天日程必须留空，tz database name格式，参考：https://en.wikipedia.org/wiki/List_of_tz_database_time_zones self.time_zone = time_zone def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.date is not None: result['date'] = self.date if self.date_time is not None: result['dateTime'] = self.date_time if self.time_zone is not None: result['timeZone'] = self.time_zone return result def from_map(self, m: dict = None): m = m or dict() if m.get('date') is not None: self.date = m.get('date') if m.get('dateTime') is not None: self.date_time = m.get('dateTime') if m.get('timeZone') is not None: self.time_zone = m.get('timeZone') return self class CreateEventRequestRecurrencePattern(TeaModel): def __init__( self, type: str = None, day_of_month: int = None, days_of_week: str = None, index: str = None, interval: int = None, ): # 循环规则类型： daily：每interval天 weekly：每interval周的第daysOfWeek天 absoluteMonthly：每interval月的第dayOfMonth天 relativeMonthly：每interval月的第index周的第daysOfWeek天 absoluteYearly：每interval年 # self.type = type self.day_of_month = day_of_month self.days_of_week = days_of_week self.index = index self.interval = interval def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.day_of_month is not None: result['dayOfMonth'] = self.day_of_month if self.days_of_week is not None: result['daysOfWeek'] = self.days_of_week if self.index is not None: result['index'] = self.index if self.interval is not None: result['interval'] = self.interval return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('dayOfMonth') is not None: self.day_of_month = m.get('dayOfMonth') if m.get('daysOfWeek') is not None: self.days_of_week = m.get('daysOfWeek') if m.get('index') is not None: self.index = m.get('index') if m.get('interval') is not None: self.interval = m.get('interval') return self class CreateEventRequestRecurrenceRange(TeaModel): def __init__( self, type: str = None, end_date: str = None, number_of_occurrences: int = None, ): self.type = type self.end_date = end_date self.number_of_occurrences = number_of_occurrences def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.end_date is not None: result['endDate'] = self.end_date if self.number_of_occurrences is not None: result['numberOfOccurrences'] = self.number_of_occurrences return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('endDate') is not None: self.end_date = m.get('endDate') if m.get('numberOfOccurrences') is not None: self.number_of_occurrences = m.get('numberOfOccurrences') return self class CreateEventRequestRecurrence(TeaModel): def __init__( self, pattern: CreateEventRequestRecurrencePattern = None, range: CreateEventRequestRecurrenceRange = None, ): # 循环规则 self.pattern = pattern self.range = range def validate(self): if self.pattern: self.pattern.validate() if self.range: self.range.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.pattern is not None: result['pattern'] = self.pattern.to_map() if self.range is not None: result['range'] = self.range.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('pattern') is not None: temp_model = CreateEventRequestRecurrencePattern() self.pattern = temp_model.from_map(m['pattern']) if m.get('range') is not None: temp_model = CreateEventRequestRecurrenceRange() self.range = temp_model.from_map(m['range']) return self class CreateEventRequestAttendees(TeaModel): def __init__( self, id: str = None, ): self.id = id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.id is not None: result['id'] = self.id return result def from_map(self, m: dict = None): m = m or dict() if m.get('id') is not None: self.id = m.get('id') return self class CreateEventRequestLocation(TeaModel): def __init__( self, display_name: str = None, ): self.display_name = display_name def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.display_name is not None: result['displayName'] = self.display_name return result def from_map(self, m: dict = None): m = m or dict() if m.get('displayName') is not None: self.display_name = m.get('displayName') return self class CreateEventRequestReminders(TeaModel): def __init__( self, method: str = None, minutes: int = None, ): self.method = method self.minutes = minutes def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.method is not None: result['method'] = self.method if self.minutes is not None: result['minutes'] = self.minutes return result def from_map(self, m: dict = None): m = m or dict() if m.get('method') is not None: self.method = m.get('method') if m.get('minutes') is not None: self.minutes = m.get('minutes') return self class CreateEventRequestOnlineMeetingInfo(TeaModel): def __init__( self, type: str = None, ): self.type = type def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') return self class CreateEventRequest(TeaModel): def __init__( self, summary: str = None, description: str = None, start: CreateEventRequestStart = None, end: CreateEventRequestEnd = None, is_all_day: bool = None, recurrence: CreateEventRequestRecurrence = None, attendees: List[CreateEventRequestAttendees] = None, location: CreateEventRequestLocation = None, reminders: List[CreateEventRequestReminders] = None, online_meeting_info: CreateEventRequestOnlineMeetingInfo = None, extra: Dict[str, str] = None, ): # 日程标题 self.summary = summary # 日程描述 self.description = description # 日程开始时间 self.start = start # 日程结束时间 self.end = end # 是否为全天日程 self.is_all_day = is_all_day # 日程循环规则 self.recurrence = recurrence self.attendees = attendees self.location = location self.reminders = reminders self.online_meeting_info = online_meeting_info # 扩展信息 self.extra = extra def validate(self): if self.start: self.start.validate() if self.end: self.end.validate() if self.recurrence: self.recurrence.validate() if self.attendees: for k in self.attendees: if k: k.validate() if self.location: self.location.validate() if self.reminders: for k in self.reminders: if k: k.validate() if self.online_meeting_info: self.online_meeting_info.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.summary is not None: result['summary'] = self.summary if self.description is not None: result['description'] = self.description if self.start is not None: result['start'] = self.start.to_map() if self.end is not None: result['end'] = self.end.to_map() if self.is_all_day is not None: result['isAllDay'] = self.is_all_day if self.recurrence is not None: result['recurrence'] = self.recurrence.to_map() result['attendees'] = [] if self.attendees is not None: for k in self.attendees: result['attendees'].append(k.to_map() if k else None) if self.location is not None: result['location'] = self.location.to_map() result['reminders'] = [] if self.reminders is not None: for k in self.reminders: result['reminders'].append(k.to_map() if k else None) if self.online_meeting_info is not None: result['onlineMeetingInfo'] = self.online_meeting_info.to_map() if self.extra is not None: result['extra'] = self.extra return result def from_map(self, m: dict = None): m = m or dict() if m.get('summary') is not None: self.summary = m.get('summary') if m.get('description') is not None: self.description = m.get('description') if m.get('start') is not None: temp_model = CreateEventRequestStart() self.start = temp_model.from_map(m['start']) if m.get('end') is not None: temp_model = CreateEventRequestEnd() self.end = temp_model.from_map(m['end']) if m.get('isAllDay') is not None: self.is_all_day = m.get('isAllDay') if m.get('recurrence') is not None: temp_model = CreateEventRequestRecurrence() self.recurrence = temp_model.from_map(m['recurrence']) self.attendees = [] if m.get('attendees') is not None: for k in m.get('attendees'): temp_model = CreateEventRequestAttendees() self.attendees.append(temp_model.from_map(k)) if m.get('location') is not None: temp_model = CreateEventRequestLocation() self.location = temp_model.from_map(m['location']) self.reminders = [] if m.get('reminders') is not None: for k in m.get('reminders'): temp_model = CreateEventRequestReminders() self.reminders.append(temp_model.from_map(k)) if m.get('onlineMeetingInfo') is not None: temp_model = CreateEventRequestOnlineMeetingInfo() self.online_meeting_info = temp_model.from_map(m['onlineMeetingInfo']) if m.get('extra') is not None: self.extra = m.get('extra') return self class CreateEventResponseBodyStart(TeaModel): def __init__( self, date: str = None, date_time: str = None, time_zone: str = None, ): self.date = date self.date_time = date_time self.time_zone = time_zone def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.date is not None: result['date'] = self.date if self.date_time is not None: result['dateTime'] = self.date_time if self.time_zone is not None: result['timeZone'] = self.time_zone return result def from_map(self, m: dict = None): m = m or dict() if m.get('date') is not None: self.date = m.get('date') if m.get('dateTime') is not None: self.date_time = m.get('dateTime') if m.get('timeZone') is not None: self.time_zone = m.get('timeZone') return self class CreateEventResponseBodyEnd(TeaModel): def __init__( self, date: str = None, date_time: str = None, time_zone: str = None, ): self.date = date self.date_time = date_time self.time_zone = time_zone def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.date is not None: result['date'] = self.date if self.date_time is not None: result['dateTime'] = self.date_time if self.time_zone is not None: result['timeZone'] = self.time_zone return result def from_map(self, m: dict = None): m = m or dict() if m.get('date') is not None: self.date = m.get('date') if m.get('dateTime') is not None: self.date_time = m.get('dateTime') if m.get('timeZone') is not None: self.time_zone = m.get('timeZone') return self class CreateEventResponseBodyRecurrencePattern(TeaModel): def __init__( self, type: str = None, day_of_month: int = None, days_of_week: str = None, index: str = None, interval: int = None, ): self.type = type self.day_of_month = day_of_month self.days_of_week = days_of_week self.index = index self.interval = interval def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.day_of_month is not None: result['dayOfMonth'] = self.day_of_month if self.days_of_week is not None: result['daysOfWeek'] = self.days_of_week if self.index is not None: result['index'] = self.index if self.interval is not None: result['interval'] = self.interval return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('dayOfMonth') is not None: self.day_of_month = m.get('dayOfMonth') if m.get('daysOfWeek') is not None: self.days_of_week = m.get('daysOfWeek') if m.get('index') is not None: self.index = m.get('index') if m.get('interval') is not None: self.interval = m.get('interval') return self class CreateEventResponseBodyRecurrenceRange(TeaModel): def __init__( self, type: str = None, end_date: str = None, number_of_occurrences: int = None, ): self.type = type self.end_date = end_date self.number_of_occurrences = number_of_occurrences def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.end_date is not None: result['endDate'] = self.end_date if self.number_of_occurrences is not None: result['numberOfOccurrences'] = self.number_of_occurrences return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('endDate') is not None: self.end_date = m.get('endDate') if m.get('numberOfOccurrences') is not None: self.number_of_occurrences = m.get('numberOfOccurrences') return self class CreateEventResponseBodyRecurrence(TeaModel): def __init__( self, pattern: CreateEventResponseBodyRecurrencePattern = None, range: CreateEventResponseBodyRecurrenceRange = None, ): self.pattern = pattern self.range = range def validate(self): if self.pattern: self.pattern.validate() if self.range: self.range.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.pattern is not None: result['pattern'] = self.pattern.to_map() if self.range is not None: result['range'] = self.range.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('pattern') is not None: temp_model = CreateEventResponseBodyRecurrencePattern() self.pattern = temp_model.from_map(m['pattern']) if m.get('range') is not None: temp_model = CreateEventResponseBodyRecurrenceRange() self.range = temp_model.from_map(m['range']) return self class CreateEventResponseBodyAttendees(TeaModel): def __init__( self, id: str = None, display_name: str = None, response_status: str = None, self_: bool = None, ): self.id = id self.display_name = display_name # 回复状态 self.response_status = response_status self.self_ = self_ def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.id is not None: result['id'] = self.id if self.display_name is not None: result['displayName'] = self.display_name if self.response_status is not None: result['responseStatus'] = self.response_status if self.self_ is not None: result['self'] = self.self_ return result def from_map(self, m: dict = None): m = m or dict() if m.get('id') is not None: self.id = m.get('id') if m.get('displayName') is not None: self.display_name = m.get('displayName') if m.get('responseStatus') is not None: self.response_status = m.get('responseStatus') if m.get('self') is not None: self.self_ = m.get('self') return self class CreateEventResponseBodyOrganizer(TeaModel): def __init__( self, id: str = None, display_name: str = None, response_status: str = None, self_: bool = None, ): self.id = id # 用户名 self.display_name = display_name # 回复状态 self.response_status = response_status self.self_ = self_ def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.id is not None: result['id'] = self.id if self.display_name is not None: result['displayName'] = self.display_name if self.response_status is not None: result['responseStatus'] = self.response_status if self.self_ is not None: result['self'] = self.self_ return result def from_map(self, m: dict = None): m = m or dict() if m.get('id') is not None: self.id = m.get('id') if m.get('displayName') is not None: self.display_name = m.get('displayName') if m.get('responseStatus') is not None: self.response_status = m.get('responseStatus') if m.get('self') is not None: self.self_ = m.get('self') return self class CreateEventResponseBodyLocation(TeaModel): def __init__( self, display_name: str = None, ): self.display_name = display_name def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.display_name is not None: result['displayName'] = self.display_name return result def from_map(self, m: dict = None): m = m or dict() if m.get('displayName') is not None: self.display_name = m.get('displayName') return self class CreateEventResponseBodyReminders(TeaModel): def __init__( self, method: str = None, minutes: str = None, ): self.method = method self.minutes = minutes def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.method is not None: result['method'] = self.method if self.minutes is not None: result['minutes'] = self.minutes return result def from_map(self, m: dict = None): m = m or dict() if m.get('method') is not None: self.method = m.get('method') if m.get('minutes') is not None: self.minutes = m.get('minutes') return self class CreateEventResponseBodyOnlineMeetingInfo(TeaModel): def __init__( self, type: str = None, conference_id: str = None, url: str = None, extra_info: Dict[str, Any] = None, ): self.type = type self.conference_id = conference_id self.url = url self.extra_info = extra_info def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.conference_id is not None: result['conferenceId'] = self.conference_id if self.url is not None: result['url'] = self.url if self.extra_info is not None: result['extraInfo'] = self.extra_info return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('conferenceId') is not None: self.conference_id = m.get('conferenceId') if m.get('url') is not None: self.url = m.get('url') if m.get('extraInfo') is not None: self.extra_info = m.get('extraInfo') return self class CreateEventResponseBody(TeaModel): def __init__( self, id: str = None, summary: str = None, description: str = None, start: CreateEventResponseBodyStart = None, end: CreateEventResponseBodyEnd = None, is_all_day: bool = None, recurrence: CreateEventResponseBodyRecurrence = None, attendees: List[CreateEventResponseBodyAttendees] = None, organizer: CreateEventResponseBodyOrganizer = None, location: CreateEventResponseBodyLocation = None, reminders: List[CreateEventResponseBodyReminders] = None, create_time: str = None, update_time: str = None, online_meeting_info: CreateEventResponseBodyOnlineMeetingInfo = None, ): self.id = id self.summary = summary self.description = description # 日程开始时间 self.start = start self.end = end self.is_all_day = is_all_day self.recurrence = recurrence self.attendees = attendees self.organizer = organizer self.location = location self.reminders = reminders # 创建时间 self.create_time = create_time # 更新时间 self.update_time = update_time self.online_meeting_info = online_meeting_info def validate(self): if self.start: self.start.validate() if self.end: self.end.validate() if self.recurrence: self.recurrence.validate() if self.attendees: for k in self.attendees: if k: k.validate() if self.organizer: self.organizer.validate() if self.location: self.location.validate() if self.reminders: for k in self.reminders: if k: k.validate() if self.online_meeting_info: self.online_meeting_info.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.id is not None: result['id'] = self.id if self.summary is not None: result['summary'] = self.summary if self.description is not None: result['description'] = self.description if self.start is not None: result['start'] = self.start.to_map() if self.end is not None: result['end'] = self.end.to_map() if self.is_all_day is not None: result['isAllDay'] = self.is_all_day if self.recurrence is not None: result['recurrence'] = self.recurrence.to_map() result['attendees'] = [] if self.attendees is not None: for k in self.attendees: result['attendees'].append(k.to_map() if k else None) if self.organizer is not None: result['organizer'] = self.organizer.to_map() if self.location is not None: result['location'] = self.location.to_map() result['reminders'] = [] if self.reminders is not None: for k in self.reminders: result['reminders'].append(k.to_map() if k else None) if self.create_time is not None: result['createTime'] = self.create_time if self.update_time is not None: result['updateTime'] = self.update_time if self.online_meeting_info is not None: result['onlineMeetingInfo'] = self.online_meeting_info.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('id') is not None: self.id = m.get('id') if m.get('summary') is not None: self.summary = m.get('summary') if m.get('description') is not None: self.description = m.get('description') if m.get('start') is not None: temp_model = CreateEventResponseBodyStart() self.start = temp_model.from_map(m['start']) if m.get('end') is not None: temp_model = CreateEventResponseBodyEnd() self.end = temp_model.from_map(m['end']) if m.get('isAllDay') is not None: self.is_all_day = m.get('isAllDay') if m.get('recurrence') is not None: temp_model = CreateEventResponseBodyRecurrence() self.recurrence = temp_model.from_map(m['recurrence']) self.attendees = [] if m.get('attendees') is not None: for k in m.get('attendees'): temp_model = CreateEventResponseBodyAttendees() self.attendees.append(temp_model.from_map(k)) if m.get('organizer') is not None: temp_model = CreateEventResponseBodyOrganizer() self.organizer = temp_model.from_map(m['organizer']) if m.get('location') is not None: temp_model = CreateEventResponseBodyLocation() self.location = temp_model.from_map(m['location']) self.reminders = [] if m.get('reminders') is not None: for k in m.get('reminders'): temp_model = CreateEventResponseBodyReminders() self.reminders.append(temp_model.from_map(k)) if m.get('createTime') is not None: self.create_time = m.get('createTime') if m.get('updateTime') is not None: self.update_time = m.get('updateTime') if m.get('onlineMeetingInfo') is not None: temp_model = CreateEventResponseBodyOnlineMeetingInfo() self.online_meeting_info = temp_model.from_map(m['onlineMeetingInfo']) return self class CreateEventResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: CreateEventResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = CreateEventResponseBody() self.body = temp_model.from_map(m['body']) return self class ListCalendarsHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class ListCalendarsResponseBodyResponseCalendars(TeaModel): def __init__( self, id: str = None, summary: str = None, description: str = None, time_zone: str = None, e_tag: str = None, type: str = None, privilege: str = None, ): # 日历id self.id = id # 日历标题 self.summary = summary # 日历描述 self.description = description # 时区 self.time_zone = time_zone # Calendar资源的ETag，用于检测该Calendar以及内部的Event是否有被更新 self.e_tag = e_tag # 日历类型 self.type = type # 权限信息 self.privilege = privilege def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.id is not None: result['id'] = self.id if self.summary is not None: result['summary'] = self.summary if self.description is not None: result['description'] = self.description if self.time_zone is not None: result['timeZone'] = self.time_zone if self.e_tag is not None: result['eTag'] = self.e_tag if self.type is not None: result['type'] = self.type if self.privilege is not None: result['privilege'] = self.privilege return result def from_map(self, m: dict = None): m = m or dict() if m.get('id') is not None: self.id = m.get('id') if m.get('summary') is not None: self.summary = m.get('summary') if m.get('description') is not None: self.description = m.get('description') if m.get('timeZone') is not None: self.time_zone = m.get('timeZone') if m.get('eTag') is not None: self.e_tag = m.get('eTag') if m.get('type') is not None: self.type = m.get('type') if m.get('privilege') is not None: self.privilege = m.get('privilege') return self class ListCalendarsResponseBodyResponse(TeaModel): def __init__( self, calendars: List[ListCalendarsResponseBodyResponseCalendars] = None, ): self.calendars = calendars def validate(self): if self.calendars: for k in self.calendars: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['calendars'] = [] if self.calendars is not None: for k in self.calendars: result['calendars'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() self.calendars = [] if m.get('calendars') is not None: for k in m.get('calendars'): temp_model = ListCalendarsResponseBodyResponseCalendars() self.calendars.append(temp_model.from_map(k)) return self class ListCalendarsResponseBody(TeaModel): def __init__( self, response: ListCalendarsResponseBodyResponse = None, ): # 日历信息 self.response = response def validate(self): if self.response: self.response.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.response is not None: result['response'] = self.response.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('response') is not None: temp_model = ListCalendarsResponseBodyResponse() self.response = temp_model.from_map(m['response']) return self class ListCalendarsResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: ListCalendarsResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = ListCalendarsResponseBody() self.body = temp_model.from_map(m['body']) return self class GetSignInListHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetSignInListRequest(TeaModel): def __init__( self, max_results: int = None, next_token: str = None, type: str = None, ): # 查询返回结果数（上限200） self.max_results = max_results self.next_token = next_token # 签到信息类型（check_in，not_yet_check_in) self.type = type def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.max_results is not None: result['maxResults'] = self.max_results if self.next_token is not None: result['nextToken'] = self.next_token if self.type is not None: result['type'] = self.type return result def from_map(self, m: dict = None): m = m or dict() if m.get('maxResults') is not None: self.max_results = m.get('maxResults') if m.get('nextToken') is not None: self.next_token = m.get('nextToken') if m.get('type') is not None: self.type = m.get('type') return self class GetSignInListResponseBodyUsers(TeaModel): def __init__( self, user_id: str = None, display_name: str = None, check_in_time: int = None, ): self.user_id = user_id # 用户名 self.display_name = display_name # 签到时间 self.check_in_time = check_in_time def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.user_id is not None: result['userId'] = self.user_id if self.display_name is not None: result['displayName'] = self.display_name if self.check_in_time is not None: result['checkInTime'] = self.check_in_time return result def from_map(self, m: dict = None): m = m or dict() if m.get('userId') is not None: self.user_id = m.get('userId') if m.get('displayName') is not None: self.display_name = m.get('displayName') if m.get('checkInTime') is not None: self.check_in_time = m.get('checkInTime') return self class GetSignInListResponseBody(TeaModel): def __init__( self, next_token: str = None, users: List[GetSignInListResponseBodyUsers] = None, ): # 翻页token self.next_token = next_token # 签到信息 self.users = users def validate(self): if self.users: for k in self.users: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.next_token is not None: result['nextToken'] = self.next_token result['users'] = [] if self.users is not None: for k in self.users: result['users'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() if m.get('nextToken') is not None: self.next_token = m.get('nextToken') self.users = [] if m.get('users') is not None: for k in m.get('users'): temp_model = GetSignInListResponseBodyUsers() self.users.append(temp_model.from_map(k)) return self class GetSignInListResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetSignInListResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetSignInListResponseBody() self.body = temp_model.from_map(m['body']) return self class DeleteAclHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class DeleteAclResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, ): self.headers = headers def validate(self): self.validate_required(self.headers, 'headers') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') return self class DeleteEventHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class DeleteEventResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, ): self.headers = headers def validate(self): self.validate_required(self.headers, 'headers') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') return self class ListEventsHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class ListEventsRequest(TeaModel): def __init__( self, time_min: str = None, time_max: str = None, show_deleted: bool = None, max_results: int = None, next_token: str = None, sync_token: str = None, ): # 查询开始时间 self.time_min = time_min # 查询截止时间 self.time_max = time_max # 是否返回删除事件 self.show_deleted = show_deleted # 查询返回结果数 self.max_results = max_results # 查询翻页token self.next_token = next_token # 增量查询token self.sync_token = sync_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.time_min is not None: result['timeMin'] = self.time_min if self.time_max is not None: result['timeMax'] = self.time_max if self.show_deleted is not None: result['showDeleted'] = self.show_deleted if self.max_results is not None: result['maxResults'] = self.max_results if self.next_token is not None: result['nextToken'] = self.next_token if self.sync_token is not None: result['syncToken'] = self.sync_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('timeMin') is not None: self.time_min = m.get('timeMin') if m.get('timeMax') is not None: self.time_max = m.get('timeMax') if m.get('showDeleted') is not None: self.show_deleted = m.get('showDeleted') if m.get('maxResults') is not None: self.max_results = m.get('maxResults') if m.get('nextToken') is not None: self.next_token = m.get('nextToken') if m.get('syncToken') is not None: self.sync_token = m.get('syncToken') return self class ListEventsResponseBodyEventsStart(TeaModel): def __init__( self, date: str = None, date_time: str = None, time_zone: str = None, ): # 日期，格式：yyyyMMdd self.date = date # 时间戳，按照ISO 8601格式 self.date_time = date_time # 时区 self.time_zone = time_zone def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.date is not None: result['date'] = self.date if self.date_time is not None: result['dateTime'] = self.date_time if self.time_zone is not None: result['timeZone'] = self.time_zone return result def from_map(self, m: dict = None): m = m or dict() if m.get('date') is not None: self.date = m.get('date') if m.get('dateTime') is not None: self.date_time = m.get('dateTime') if m.get('timeZone') is not None: self.time_zone = m.get('timeZone') return self class ListEventsResponseBodyEventsEnd(TeaModel): def __init__( self, date: str = None, date_time: str = None, time_zone: str = None, ): self.date = date self.date_time = date_time self.time_zone = time_zone def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.date is not None: result['date'] = self.date if self.date_time is not None: result['dateTime'] = self.date_time if self.time_zone is not None: result['timeZone'] = self.time_zone return result def from_map(self, m: dict = None): m = m or dict() if m.get('date') is not None: self.date = m.get('date') if m.get('dateTime') is not None: self.date_time = m.get('dateTime') if m.get('timeZone') is not None: self.time_zone = m.get('timeZone') return self class ListEventsResponseBodyEventsRecurrencePattern(TeaModel): def __init__( self, type: str = None, day_of_month: int = None, days_of_week: str = None, index: str = None, interval: int = None, ): # 循环模式类型(type: daily, weekly, absoluteMonthly, relativeMonthly, absoluteYearly, relativeYearly) self.type = type self.day_of_month = day_of_month self.days_of_week = days_of_week self.index = index self.interval = interval def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.day_of_month is not None: result['dayOfMonth'] = self.day_of_month if self.days_of_week is not None: result['daysOfWeek'] = self.days_of_week if self.index is not None: result['index'] = self.index if self.interval is not None: result['interval'] = self.interval return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('dayOfMonth') is not None: self.day_of_month = m.get('dayOfMonth') if m.get('daysOfWeek') is not None: self.days_of_week = m.get('daysOfWeek') if m.get('index') is not None: self.index = m.get('index') if m.get('interval') is not None: self.interval = m.get('interval') return self class ListEventsResponseBodyEventsRecurrenceRange(TeaModel): def __init__( self, type: str = None, end_date: str = None, number_of_occurrences: int = None, ): # 范围类型(endDate, noEnd, numbered) self.type = type self.end_date = end_date self.number_of_occurrences = number_of_occurrences def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.end_date is not None: result['endDate'] = self.end_date if self.number_of_occurrences is not None: result['numberOfOccurrences'] = self.number_of_occurrences return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('endDate') is not None: self.end_date = m.get('endDate') if m.get('numberOfOccurrences') is not None: self.number_of_occurrences = m.get('numberOfOccurrences') return self class ListEventsResponseBodyEventsRecurrence(TeaModel): def __init__( self, pattern: ListEventsResponseBodyEventsRecurrencePattern = None, range: ListEventsResponseBodyEventsRecurrenceRange = None, ): # 重复模式 self.pattern = pattern # 重复范围 self.range = range def validate(self): if self.pattern: self.pattern.validate() if self.range: self.range.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.pattern is not None: result['pattern'] = self.pattern.to_map() if self.range is not None: result['range'] = self.range.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('pattern') is not None: temp_model = ListEventsResponseBodyEventsRecurrencePattern() self.pattern = temp_model.from_map(m['pattern']) if m.get('range') is not None: temp_model = ListEventsResponseBodyEventsRecurrenceRange() self.range = temp_model.from_map(m['range']) return self class ListEventsResponseBodyEventsAttendees(TeaModel): def __init__( self, id: str = None, display_name: str = None, response_status: str = None, self_: bool = None, ): # 用户id self.id = id # 用户名 self.display_name = display_name # 回复状态 self.response_status = response_status # 是否是当前登陆用户 self.self_ = self_ def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.id is not None: result['id'] = self.id if self.display_name is not None: result['displayName'] = self.display_name if self.response_status is not None: result['responseStatus'] = self.response_status if self.self_ is not None: result['self'] = self.self_ return result def from_map(self, m: dict = None): m = m or dict() if m.get('id') is not None: self.id = m.get('id') if m.get('displayName') is not None: self.display_name = m.get('displayName') if m.get('responseStatus') is not None: self.response_status = m.get('responseStatus') if m.get('self') is not None: self.self_ = m.get('self') return self class ListEventsResponseBodyEventsOrganizer(TeaModel): def __init__( self, id: str = None, display_name: str = None, response_status: str = None, self_: bool = None, ): # 用户id self.id = id # 用户名 self.display_name = display_name # 回复状态 self.response_status = response_status # 是否是当前登陆用户 self.self_ = self_ def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.id is not None: result['id'] = self.id if self.display_name is not None: result['displayName'] = self.display_name if self.response_status is not None: result['responseStatus'] = self.response_status if self.self_ is not None: result['self'] = self.self_ return result def from_map(self, m: dict = None): m = m or dict() if m.get('id') is not None: self.id = m.get('id') if m.get('displayName') is not None: self.display_name = m.get('displayName') if m.get('responseStatus') is not None: self.response_status = m.get('responseStatus') if m.get('self') is not None: self.self_ = m.get('self') return self class ListEventsResponseBodyEventsLocation(TeaModel): def __init__( self, display_name: str = None, ): # 展示名称 self.display_name = display_name def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.display_name is not None: result['displayName'] = self.display_name return result def from_map(self, m: dict = None): m = m or dict() if m.get('displayName') is not None: self.display_name = m.get('displayName') return self class ListEventsResponseBodyEventsOnlineMeetingInfo(TeaModel): def __init__( self, type: str = None, conference_id: str = None, url: str = None, extra_info: Dict[str, Any] = None, ): self.type = type self.conference_id = conference_id self.url = url self.extra_info = extra_info def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.conference_id is not None: result['conferenceId'] = self.conference_id if self.url is not None: result['url'] = self.url if self.extra_info is not None: result['extraInfo'] = self.extra_info return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('conferenceId') is not None: self.conference_id = m.get('conferenceId') if m.get('url') is not None: self.url = m.get('url') if m.get('extraInfo') is not None: self.extra_info = m.get('extraInfo') return self class ListEventsResponseBodyEventsReminders(TeaModel): def __init__( self, method: str = None, minutes: str = None, ): self.method = method self.minutes = minutes def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.method is not None: result['method'] = self.method if self.minutes is not None: result['minutes'] = self.minutes return result def from_map(self, m: dict = None): m = m or dict() if m.get('method') is not None: self.method = m.get('method') if m.get('minutes') is not None: self.minutes = m.get('minutes') return self class ListEventsResponseBodyEvents(TeaModel): def __init__( self, id: str = None, summary: str = None, description: str = None, start: ListEventsResponseBodyEventsStart = None, end: ListEventsResponseBodyEventsEnd = None, is_all_day: bool = None, recurrence: ListEventsResponseBodyEventsRecurrence = None, attendees: List[ListEventsResponseBodyEventsAttendees] = None, organizer: ListEventsResponseBodyEventsOrganizer = None, location: ListEventsResponseBodyEventsLocation = None, series_master_id: str = None, create_time: str = None, update_time: str = None, status: str = None, online_meeting_info: ListEventsResponseBodyEventsOnlineMeetingInfo = None, reminders: List[ListEventsResponseBodyEventsReminders] = None, ): # 日程事件id self.id = id # 日程标题 self.summary = summary # 日程描述 self.description = description # 日程开始时间 self.start = start # 日程结束时间 self.end = end # 是否为全天日程 self.is_all_day = is_all_day # 日程重复规则 self.recurrence = recurrence # 日程参与人 self.attendees = attendees # 日程组织人 self.organizer = organizer # 日程地点 self.location = location # 重复日程的主日程id，非重复日程为空 self.series_master_id = series_master_id # 创建时间 self.create_time = create_time # 更新时间 self.update_time = update_time # 日程状态 self.status = status self.online_meeting_info = online_meeting_info self.reminders = reminders def validate(self): if self.start: self.start.validate() if self.end: self.end.validate() if self.recurrence: self.recurrence.validate() if self.attendees: for k in self.attendees: if k: k.validate() if self.organizer: self.organizer.validate() if self.location: self.location.validate() if self.online_meeting_info: self.online_meeting_info.validate() if self.reminders: for k in self.reminders: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.id is not None: result['id'] = self.id if self.summary is not None: result['summary'] = self.summary if self.description is not None: result['description'] = self.description if self.start is not None: result['start'] = self.start.to_map() if self.end is not None: result['end'] = self.end.to_map() if self.is_all_day is not None: result['isAllDay'] = self.is_all_day if self.recurrence is not None: result['recurrence'] = self.recurrence.to_map() result['attendees'] = [] if self.attendees is not None: for k in self.attendees: result['attendees'].append(k.to_map() if k else None) if self.organizer is not None: result['organizer'] = self.organizer.to_map() if self.location is not None: result['location'] = self.location.to_map() if self.series_master_id is not None: result['seriesMasterId'] = self.series_master_id if self.create_time is not None: result['createTime'] = self.create_time if self.update_time is not None: result['updateTime'] = self.update_time if self.status is not None: result['status'] = self.status if self.online_meeting_info is not None: result['onlineMeetingInfo'] = self.online_meeting_info.to_map() result['reminders'] = [] if self.reminders is not None: for k in self.reminders: result['reminders'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() if m.get('id') is not None: self.id = m.get('id') if m.get('summary') is not None: self.summary = m.get('summary') if m.get('description') is not None: self.description = m.get('description') if m.get('start') is not None: temp_model = ListEventsResponseBodyEventsStart() self.start = temp_model.from_map(m['start']) if m.get('end') is not None: temp_model = ListEventsResponseBodyEventsEnd() self.end = temp_model.from_map(m['end']) if m.get('isAllDay') is not None: self.is_all_day = m.get('isAllDay') if m.get('recurrence') is not None: temp_model = ListEventsResponseBodyEventsRecurrence() self.recurrence = temp_model.from_map(m['recurrence']) self.attendees = [] if m.get('attendees') is not None: for k in m.get('attendees'): temp_model = ListEventsResponseBodyEventsAttendees() self.attendees.append(temp_model.from_map(k)) if m.get('organizer') is not None: temp_model = ListEventsResponseBodyEventsOrganizer() self.organizer = temp_model.from_map(m['organizer']) if m.get('location') is not None: temp_model = ListEventsResponseBodyEventsLocation() self.location = temp_model.from_map(m['location']) if m.get('seriesMasterId') is not None: self.series_master_id = m.get('seriesMasterId') if m.get('createTime') is not None: self.create_time = m.get('createTime') if m.get('updateTime') is not None: self.update_time = m.get('updateTime') if m.get('status') is not None: self.status = m.get('status') if m.get('onlineMeetingInfo') is not None: temp_model = ListEventsResponseBodyEventsOnlineMeetingInfo() self.online_meeting_info = temp_model.from_map(m['onlineMeetingInfo']) self.reminders = [] if m.get('reminders') is not None: for k in m.get('reminders'): temp_model = ListEventsResponseBodyEventsReminders() self.reminders.append(temp_model.from_map(k)) return self class ListEventsResponseBody(TeaModel): def __init__( self, next_token: str = None, events: List[ListEventsResponseBodyEvents] = None, sync_token: str = None, ): # 翻页token self.next_token = next_token # 日程 self.events = events # 增量同步token self.sync_token = sync_token def validate(self): if self.events: for k in self.events: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.next_token is not None: result['nextToken'] = self.next_token result['events'] = [] if self.events is not None: for k in self.events: result['events'].append(k.to_map() if k else None) if self.sync_token is not None: result['syncToken'] = self.sync_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('nextToken') is not None: self.next_token = m.get('nextToken') self.events = [] if m.get('events') is not None: for k in m.get('events'): temp_model = ListEventsResponseBodyEvents() self.events.append(temp_model.from_map(k)) if m.get('syncToken') is not None: self.sync_token = m.get('syncToken') return self class ListEventsResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: ListEventsResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = ListEventsResponseBody() self.body = temp_model.from_map(m['body']) return self class ListEventsViewHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class ListEventsViewRequest(TeaModel): def __init__( self, time_min: str = None, time_max: str = None, max_results: int = None, next_token: str = None, ): # 查询开始时间 self.time_min = time_min # 查询截止时间 self.time_max = time_max # 查询返回结果数 self.max_results = max_results # 查询翻页token self.next_token = next_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.time_min is not None: result['timeMin'] = self.time_min if self.time_max is not None: result['timeMax'] = self.time_max if self.max_results is not None: result['maxResults'] = self.max_results if self.next_token is not None: result['nextToken'] = self.next_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('timeMin') is not None: self.time_min = m.get('timeMin') if m.get('timeMax') is not None: self.time_max = m.get('timeMax') if m.get('maxResults') is not None: self.max_results = m.get('maxResults') if m.get('nextToken') is not None: self.next_token = m.get('nextToken') return self class ListEventsViewResponseBodyEventsStart(TeaModel): def __init__( self, date: str = None, date_time: str = None, time_zone: str = None, ): # 日期，格式：yyyyMMdd self.date = date # 时间戳，按照ISO 8601格式 self.date_time = date_time # 时区 self.time_zone = time_zone def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.date is not None: result['date'] = self.date if self.date_time is not None: result['dateTime'] = self.date_time if self.time_zone is not None: result['timeZone'] = self.time_zone return result def from_map(self, m: dict = None): m = m or dict() if m.get('date') is not None: self.date = m.get('date') if m.get('dateTime') is not None: self.date_time = m.get('dateTime') if m.get('timeZone') is not None: self.time_zone = m.get('timeZone') return self class ListEventsViewResponseBodyEventsEnd(TeaModel): def __init__( self, date: str = None, date_time: str = None, time_zone: str = None, ): self.date = date self.date_time = date_time self.time_zone = time_zone def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.date is not None: result['date'] = self.date if self.date_time is not None: result['dateTime'] = self.date_time if self.time_zone is not None: result['timeZone'] = self.time_zone return result def from_map(self, m: dict = None): m = m or dict() if m.get('date') is not None: self.date = m.get('date') if m.get('dateTime') is not None: self.date_time = m.get('dateTime') if m.get('timeZone') is not None: self.time_zone = m.get('timeZone') return self class ListEventsViewResponseBodyEventsRecurrencePattern(TeaModel): def __init__( self, type: str = None, day_of_month: int = None, days_of_week: str = None, index: str = None, interval: int = None, ): # 循环模式类型(type: daily, weekly, absoluteMonthly, relativeMonthly, absoluteYearly, relativeYearly) self.type = type self.day_of_month = day_of_month self.days_of_week = days_of_week self.index = index self.interval = interval def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.day_of_month is not None: result['dayOfMonth'] = self.day_of_month if self.days_of_week is not None: result['daysOfWeek'] = self.days_of_week if self.index is not None: result['index'] = self.index if self.interval is not None: result['interval'] = self.interval return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('dayOfMonth') is not None: self.day_of_month = m.get('dayOfMonth') if m.get('daysOfWeek') is not None: self.days_of_week = m.get('daysOfWeek') if m.get('index') is not None: self.index = m.get('index') if m.get('interval') is not None: self.interval = m.get('interval') return self class ListEventsViewResponseBodyEventsRecurrenceRange(TeaModel): def __init__( self, type: str = None, end_date: str = None, number_of_occurrences: int = None, ): # 范围类型(endDate, noEnd, numbered) self.type = type self.end_date = end_date self.number_of_occurrences = number_of_occurrences def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.end_date is not None: result['endDate'] = self.end_date if self.number_of_occurrences is not None: result['numberOfOccurrences'] = self.number_of_occurrences return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('endDate') is not None: self.end_date = m.get('endDate') if m.get('numberOfOccurrences') is not None: self.number_of_occurrences = m.get('numberOfOccurrences') return self class ListEventsViewResponseBodyEventsRecurrence(TeaModel): def __init__( self, pattern: ListEventsViewResponseBodyEventsRecurrencePattern = None, range: ListEventsViewResponseBodyEventsRecurrenceRange = None, ): # 重复模式 self.pattern = pattern # 重复范围 self.range = range def validate(self): if self.pattern: self.pattern.validate() if self.range: self.range.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.pattern is not None: result['pattern'] = self.pattern.to_map() if self.range is not None: result['range'] = self.range.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('pattern') is not None: temp_model = ListEventsViewResponseBodyEventsRecurrencePattern() self.pattern = temp_model.from_map(m['pattern']) if m.get('range') is not None: temp_model = ListEventsViewResponseBodyEventsRecurrenceRange() self.range = temp_model.from_map(m['range']) return self class ListEventsViewResponseBodyEventsAttendees(TeaModel): def __init__( self, id: str = None, display_name: str = None, response_status: str = None, self_: bool = None, ): # 用户id self.id = id # 用户名 self.display_name = display_name # 回复状态 self.response_status = response_status # 是否是当前登陆用户 self.self_ = self_ def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.id is not None: result['id'] = self.id if self.display_name is not None: result['displayName'] = self.display_name if self.response_status is not None: result['responseStatus'] = self.response_status if self.self_ is not None: result['self'] = self.self_ return result def from_map(self, m: dict = None): m = m or dict() if m.get('id') is not None: self.id = m.get('id') if m.get('displayName') is not None: self.display_name = m.get('displayName') if m.get('responseStatus') is not None: self.response_status = m.get('responseStatus') if m.get('self') is not None: self.self_ = m.get('self') return self class ListEventsViewResponseBodyEventsOrganizer(TeaModel): def __init__( self, id: str = None, display_name: str = None, response_status: str = None, self_: bool = None, ): # 用户id self.id = id # 用户名 self.display_name = display_name # 回复状态 self.response_status = response_status # 是否是当前登陆用户 self.self_ = self_ def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.id is not None: result['id'] = self.id if self.display_name is not None: result['displayName'] = self.display_name if self.response_status is not None: result['responseStatus'] = self.response_status if self.self_ is not None: result['self'] = self.self_ return result def from_map(self, m: dict = None): m = m or dict() if m.get('id') is not None: self.id = m.get('id') if m.get('displayName') is not None: self.display_name = m.get('displayName') if m.get('responseStatus') is not None: self.response_status = m.get('responseStatus') if m.get('self') is not None: self.self_ = m.get('self') return self class ListEventsViewResponseBodyEventsLocation(TeaModel): def __init__( self, display_name: str = None, ): # 展示名称 self.display_name = display_name def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.display_name is not None: result['displayName'] = self.display_name return result def from_map(self, m: dict = None): m = m or dict() if m.get('displayName') is not None: self.display_name = m.get('displayName') return self class ListEventsViewResponseBodyEventsOnlineMeetingInfo(TeaModel): def __init__( self, type: str = None, conference_id: str = None, url: str = None, extra_info: Dict[str, Any] = None, ): self.type = type self.conference_id = conference_id self.url = url self.extra_info = extra_info def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.conference_id is not None: result['conferenceId'] = self.conference_id if self.url is not None: result['url'] = self.url if self.extra_info is not None: result['extraInfo'] = self.extra_info return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('conferenceId') is not None: self.conference_id = m.get('conferenceId') if m.get('url') is not None: self.url = m.get('url') if m.get('extraInfo') is not None: self.extra_info = m.get('extraInfo') return self class ListEventsViewResponseBodyEvents(TeaModel): def __init__( self, id: str = None, summary: str = None, description: str = None, start: ListEventsViewResponseBodyEventsStart = None, end: ListEventsViewResponseBodyEventsEnd = None, is_all_day: bool = None, recurrence: ListEventsViewResponseBodyEventsRecurrence = None, attendees: List[ListEventsViewResponseBodyEventsAttendees] = None, organizer: ListEventsViewResponseBodyEventsOrganizer = None, location: ListEventsViewResponseBodyEventsLocation = None, series_master_id: str = None, create_time: str = None, update_time: str = None, status: str = None, online_meeting_info: ListEventsViewResponseBodyEventsOnlineMeetingInfo = None, ): # 日程事件id self.id = id # 日程标题 self.summary = summary # 日程描述 self.description = description # 日程开始时间 self.start = start # 日程结束时间 self.end = end # 是否为全天日程 self.is_all_day = is_all_day # 日程重复规则 self.recurrence = recurrence # 日程参与人 self.attendees = attendees # 日程组织人 self.organizer = organizer # 日程地点 self.location = location # 重复日程的主日程id，非重复日程为空 self.series_master_id = series_master_id # 创建时间 self.create_time = create_time # 更新时间 self.update_time = update_time # 日程状态 self.status = status self.online_meeting_info = online_meeting_info def validate(self): if self.start: self.start.validate() if self.end: self.end.validate() if self.recurrence: self.recurrence.validate() if self.attendees: for k in self.attendees: if k: k.validate() if self.organizer: self.organizer.validate() if self.location: self.location.validate() if self.online_meeting_info: self.online_meeting_info.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.id is not None: result['id'] = self.id if self.summary is not None: result['summary'] = self.summary if self.description is not None: result['description'] = self.description if self.start is not None: result['start'] = self.start.to_map() if self.end is not None: result['end'] = self.end.to_map() if self.is_all_day is not None: result['isAllDay'] = self.is_all_day if self.recurrence is not None: result['recurrence'] = self.recurrence.to_map() result['attendees'] = [] if self.attendees is not None: for k in self.attendees: result['attendees'].append(k.to_map() if k else None) if self.organizer is not None: result['organizer'] = self.organizer.to_map() if self.location is not None: result['location'] = self.location.to_map() if self.series_master_id is not None: result['seriesMasterId'] = self.series_master_id if self.create_time is not None: result['createTime'] = self.create_time if self.update_time is not None: result['updateTime'] = self.update_time if self.status is not None: result['status'] = self.status if self.online_meeting_info is not None: result['onlineMeetingInfo'] = self.online_meeting_info.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('id') is not None: self.id = m.get('id') if m.get('summary') is not None: self.summary = m.get('summary') if m.get('description') is not None: self.description = m.get('description') if m.get('start') is not None: temp_model = ListEventsViewResponseBodyEventsStart() self.start = temp_model.from_map(m['start']) if m.get('end') is not None: temp_model = ListEventsViewResponseBodyEventsEnd() self.end = temp_model.from_map(m['end']) if m.get('isAllDay') is not None: self.is_all_day = m.get('isAllDay') if m.get('recurrence') is not None: temp_model = ListEventsViewResponseBodyEventsRecurrence() self.recurrence = temp_model.from_map(m['recurrence']) self.attendees = [] if m.get('attendees') is not None: for k in m.get('attendees'): temp_model = ListEventsViewResponseBodyEventsAttendees() self.attendees.append(temp_model.from_map(k)) if m.get('organizer') is not None: temp_model = ListEventsViewResponseBodyEventsOrganizer() self.organizer = temp_model.from_map(m['organizer']) if m.get('location') is not None: temp_model = ListEventsViewResponseBodyEventsLocation() self.location = temp_model.from_map(m['location']) if m.get('seriesMasterId') is not None: self.series_master_id = m.get('seriesMasterId') if m.get('createTime') is not None: self.create_time = m.get('createTime') if m.get('updateTime') is not None: self.update_time = m.get('updateTime') if m.get('status') is not None: self.status = m.get('status') if m.get('onlineMeetingInfo') is not None: temp_model = ListEventsViewResponseBodyEventsOnlineMeetingInfo() self.online_meeting_info = temp_model.from_map(m['onlineMeetingInfo']) return self class ListEventsViewResponseBody(TeaModel): def __init__( self, next_token: str = None, events: List[ListEventsViewResponseBodyEvents] = None, ): # 翻页token self.next_token = next_token # 日程 self.events = events def validate(self): if self.events: for k in self.events: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.next_token is not None: result['nextToken'] = self.next_token result['events'] = [] if self.events is not None: for k in self.events: result['events'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() if m.get('nextToken') is not None: self.next_token = m.get('nextToken') self.events = [] if m.get('events') is not None: for k in m.get('events'): temp_model = ListEventsViewResponseBodyEvents() self.events.append(temp_model.from_map(k)) return self class ListEventsViewResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: ListEventsViewResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = ListEventsViewResponseBody() self.body = temp_model.from_map(m['body']) return self class SignInHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class SignInResponseBody(TeaModel): def __init__( self, check_in_time: int = None, ): # 签到时间戳 self.check_in_time = check_in_time def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.check_in_time is not None: result['checkInTime'] = self.check_in_time return result def from_map(self, m: dict = None): m = m or dict() if m.get('checkInTime') is not None: self.check_in_time = m.get('checkInTime') return self class SignInResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: SignInResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = SignInResponseBody() self.body = temp_model.from_map(m['body']) return self class GetEventHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetEventRequest(TeaModel): def __init__( self, max_attendees: int = None, ): # 返回参与人，上限500人，默认为0 self.max_attendees = max_attendees def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.max_attendees is not None: result['maxAttendees'] = self.max_attendees return result def from_map(self, m: dict = None): m = m or dict() if m.get('maxAttendees') is not None: self.max_attendees = m.get('maxAttendees') return self class GetEventResponseBodyStart(TeaModel): def __init__( self, date: str = None, date_time: str = None, time_zone: str = None, ): # 日期，格式：yyyyMMdd self.date = date # 时间戳，按照ISO 8601格式 self.date_time = date_time # 时区 self.time_zone = time_zone def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.date is not None: result['date'] = self.date if self.date_time is not None: result['dateTime'] = self.date_time if self.time_zone is not None: result['timeZone'] = self.time_zone return result def from_map(self, m: dict = None): m = m or dict() if m.get('date') is not None: self.date = m.get('date') if m.get('dateTime') is not None: self.date_time = m.get('dateTime') if m.get('timeZone') is not None: self.time_zone = m.get('timeZone') return self class GetEventResponseBodyEnd(TeaModel): def __init__( self, date: str = None, date_time: str = None, time_zone: str = None, ): self.date = date self.date_time = date_time self.time_zone = time_zone def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.date is not None: result['date'] = self.date if self.date_time is not None: result['dateTime'] = self.date_time if self.time_zone is not None: result['timeZone'] = self.time_zone return result def from_map(self, m: dict = None): m = m or dict() if m.get('date') is not None: self.date = m.get('date') if m.get('dateTime') is not None: self.date_time = m.get('dateTime') if m.get('timeZone') is not None: self.time_zone = m.get('timeZone') return self class GetEventResponseBodyRecurrencePattern(TeaModel): def __init__( self, type: str = None, day_of_month: int = None, days_of_week: str = None, index: str = None, interval: int = None, ): # 循环模式类型(type: daily, weekly, absoluteMonthly, relativeMonthly, absoluteYearly, relativeYearly) self.type = type self.day_of_month = day_of_month self.days_of_week = days_of_week self.index = index self.interval = interval def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.day_of_month is not None: result['dayOfMonth'] = self.day_of_month if self.days_of_week is not None: result['daysOfWeek'] = self.days_of_week if self.index is not None: result['index'] = self.index if self.interval is not None: result['interval'] = self.interval return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('dayOfMonth') is not None: self.day_of_month = m.get('dayOfMonth') if m.get('daysOfWeek') is not None: self.days_of_week = m.get('daysOfWeek') if m.get('index') is not None: self.index = m.get('index') if m.get('interval') is not None: self.interval = m.get('interval') return self class GetEventResponseBodyRecurrenceRange(TeaModel): def __init__( self, type: str = None, end_date: str = None, number_of_occurrences: int = None, ): # 范围类型(endDate, noEnd, numbered) self.type = type self.end_date = end_date self.number_of_occurrences = number_of_occurrences def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.end_date is not None: result['endDate'] = self.end_date if self.number_of_occurrences is not None: result['numberOfOccurrences'] = self.number_of_occurrences return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('endDate') is not None: self.end_date = m.get('endDate') if m.get('numberOfOccurrences') is not None: self.number_of_occurrences = m.get('numberOfOccurrences') return self class GetEventResponseBodyRecurrence(TeaModel): def __init__( self, pattern: GetEventResponseBodyRecurrencePattern = None, range: GetEventResponseBodyRecurrenceRange = None, ): # 重复模式 self.pattern = pattern # 重复范围 self.range = range def validate(self): if self.pattern: self.pattern.validate() if self.range: self.range.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.pattern is not None: result['pattern'] = self.pattern.to_map() if self.range is not None: result['range'] = self.range.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('pattern') is not None: temp_model = GetEventResponseBodyRecurrencePattern() self.pattern = temp_model.from_map(m['pattern']) if m.get('range') is not None: temp_model = GetEventResponseBodyRecurrenceRange() self.range = temp_model.from_map(m['range']) return self class GetEventResponseBodyAttendees(TeaModel): def __init__( self, id: str = None, display_name: str = None, response_status: str = None, self_: bool = None, ): self.id = id # 用户名 self.display_name = display_name # 回复状态 self.response_status = response_status # 是否是当前登陆用户 self.self_ = self_ def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.id is not None: result['id'] = self.id if self.display_name is not None: result['displayName'] = self.display_name if self.response_status is not None: result['responseStatus'] = self.response_status if self.self_ is not None: result['self'] = self.self_ return result def from_map(self, m: dict = None): m = m or dict() if m.get('id') is not None: self.id = m.get('id') if m.get('displayName') is not None: self.display_name = m.get('displayName') if m.get('responseStatus') is not None: self.response_status = m.get('responseStatus') if m.get('self') is not None: self.self_ = m.get('self') return self class GetEventResponseBodyOrganizer(TeaModel): def __init__( self, id: str = None, display_name: str = None, response_status: str = None, self_: bool = None, ): self.id = id # 用户名 self.display_name = display_name # 回复状态 self.response_status = response_status # 是否是当前登陆用户 self.self_ = self_ def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.id is not None: result['id'] = self.id if self.display_name is not None: result['displayName'] = self.display_name if self.response_status is not None: result['responseStatus'] = self.response_status if self.self_ is not None: result['self'] = self.self_ return result def from_map(self, m: dict = None): m = m or dict() if m.get('id') is not None: self.id = m.get('id') if m.get('displayName') is not None: self.display_name = m.get('displayName') if m.get('responseStatus') is not None: self.response_status = m.get('responseStatus') if m.get('self') is not None: self.self_ = m.get('self') return self class GetEventResponseBodyLocation(TeaModel): def __init__( self, display_name: str = None, ): self.display_name = display_name def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.display_name is not None: result['displayName'] = self.display_name return result def from_map(self, m: dict = None): m = m or dict() if m.get('displayName') is not None: self.display_name = m.get('displayName') return self class GetEventResponseBodyReminders(TeaModel): def __init__( self, method: str = None, minutes: str = None, ): self.method = method self.minutes = minutes def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.method is not None: result['method'] = self.method if self.minutes is not None: result['minutes'] = self.minutes return result def from_map(self, m: dict = None): m = m or dict() if m.get('method') is not None: self.method = m.get('method') if m.get('minutes') is not None: self.minutes = m.get('minutes') return self class GetEventResponseBodyOnlineMeetingInfo(TeaModel): def __init__( self, type: str = None, conference_id: str = None, url: str = None, extra_info: Dict[str, Any] = None, ): self.type = type self.conference_id = conference_id self.url = url self.extra_info = extra_info def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.conference_id is not None: result['conferenceId'] = self.conference_id if self.url is not None: result['url'] = self.url if self.extra_info is not None: result['extraInfo'] = self.extra_info return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('conferenceId') is not None: self.conference_id = m.get('conferenceId') if m.get('url') is not None: self.url = m.get('url') if m.get('extraInfo') is not None: self.extra_info = m.get('extraInfo') return self class GetEventResponseBody(TeaModel): def __init__( self, id: str = None, summary: str = None, description: str = None, status: str = None, start: GetEventResponseBodyStart = None, end: GetEventResponseBodyEnd = None, is_all_day: bool = None, recurrence: GetEventResponseBodyRecurrence = None, attendees: List[GetEventResponseBodyAttendees] = None, organizer: GetEventResponseBodyOrganizer = None, location: GetEventResponseBodyLocation = None, series_master_id: str = None, create_time: str = None, update_time: str = None, reminders: List[GetEventResponseBodyReminders] = None, online_meeting_info: GetEventResponseBodyOnlineMeetingInfo = None, ): self.id = id # 日程标题 self.summary = summary # 日程描述 self.description = description # 日程状态 self.status = status # 日程开始时间 self.start = start # 日程结束时间 self.end = end # 是否为全天日程 self.is_all_day = is_all_day self.recurrence = recurrence self.attendees = attendees self.organizer = organizer self.location = location # 重复日程的主日程id，非重复日程为空 self.series_master_id = series_master_id # 创建时间 self.create_time = create_time # 更新时间 self.update_time = update_time self.reminders = reminders self.online_meeting_info = online_meeting_info def validate(self): if self.start: self.start.validate() if self.end: self.end.validate() if self.recurrence: self.recurrence.validate() if self.attendees: for k in self.attendees: if k: k.validate() if self.organizer: self.organizer.validate() if self.location: self.location.validate() if self.reminders: for k in self.reminders: if k: k.validate() if self.online_meeting_info: self.online_meeting_info.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.id is not None: result['id'] = self.id if self.summary is not None: result['summary'] = self.summary if self.description is not None: result['description'] = self.description if self.status is not None: result['status'] = self.status if self.start is not None: result['start'] = self.start.to_map() if self.end is not None: result['end'] = self.end.to_map() if self.is_all_day is not None: result['isAllDay'] = self.is_all_day if self.recurrence is not None: result['recurrence'] = self.recurrence.to_map() result['attendees'] = [] if self.attendees is not None: for k in self.attendees: result['attendees'].append(k.to_map() if k else None) if self.organizer is not None: result['organizer'] = self.organizer.to_map() if self.location is not None: result['location'] = self.location.to_map() if self.series_master_id is not None: result['seriesMasterId'] = self.series_master_id if self.create_time is not None: result['createTime'] = self.create_time if self.update_time is not None: result['updateTime'] = self.update_time result['reminders'] = [] if self.reminders is not None: for k in self.reminders: result['reminders'].append(k.to_map() if k else None) if self.online_meeting_info is not None: result['onlineMeetingInfo'] = self.online_meeting_info.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('id') is not None: self.id = m.get('id') if m.get('summary') is not None: self.summary = m.get('summary') if m.get('description') is not None: self.description = m.get('description') if m.get('status') is not None: self.status = m.get('status') if m.get('start') is not None: temp_model = GetEventResponseBodyStart() self.start = temp_model.from_map(m['start']) if m.get('end') is not None: temp_model = GetEventResponseBodyEnd() self.end = temp_model.from_map(m['end']) if m.get('isAllDay') is not None: self.is_all_day = m.get('isAllDay') if m.get('recurrence') is not None: temp_model = GetEventResponseBodyRecurrence() self.recurrence = temp_model.from_map(m['recurrence']) self.attendees = [] if m.get('attendees') is not None: for k in m.get('attendees'): temp_model = GetEventResponseBodyAttendees() self.attendees.append(temp_model.from_map(k)) if m.get('organizer') is not None: temp_model = GetEventResponseBodyOrganizer() self.organizer = temp_model.from_map(m['organizer']) if m.get('location') is not None: temp_model = GetEventResponseBodyLocation() self.location = temp_model.from_map(m['location']) if m.get('seriesMasterId') is not None: self.series_master_id = m.get('seriesMasterId') if m.get('createTime') is not None: self.create_time = m.get('createTime') if m.get('updateTime') is not None: self.update_time = m.get('updateTime') self.reminders = [] if m.get('reminders') is not None: for k in m.get('reminders'): temp_model = GetEventResponseBodyReminders() self.reminders.append(temp_model.from_map(k)) if m.get('onlineMeetingInfo') is not None: temp_model = GetEventResponseBodyOnlineMeetingInfo() self.online_meeting_info = temp_model.from_map(m['onlineMeetingInfo']) return self class GetEventResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetEventResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetEventResponseBody() self.body = temp_model.from_map(m['body']) return self class CheckInHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class CheckInResponseBody(TeaModel): def __init__( self, check_in_time: int = None, ): # 签到时间戳 self.check_in_time = check_in_time def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.check_in_time is not None: result['checkInTime'] = self.check_in_time return result def from_map(self, m: dict = None): m = m or dict() if m.get('checkInTime') is not None: self.check_in_time = m.get('checkInTime') return self class CheckInResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: CheckInResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = CheckInResponseBody() self.body = temp_model.from_map(m['body']) return self class PatchEventHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class PatchEventRequestStart(TeaModel): def __init__( self, date: str = None, date_time: str = None, time_zone: str = None, ): self.date = date self.date_time = date_time self.time_zone = time_zone def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.date is not None: result['date'] = self.date if self.date_time is not None: result['dateTime'] = self.date_time if self.time_zone is not None: result['timeZone'] = self.time_zone return result def from_map(self, m: dict = None): m = m or dict() if m.get('date') is not None: self.date = m.get('date') if m.get('dateTime') is not None: self.date_time = m.get('dateTime') if m.get('timeZone') is not None: self.time_zone = m.get('timeZone') return self class PatchEventRequestEnd(TeaModel): def __init__( self, date: str = None, date_time: str = None, time_zone: str = None, ): self.date = date self.date_time = date_time self.time_zone = time_zone def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.date is not None: result['date'] = self.date if self.date_time is not None: result['dateTime'] = self.date_time if self.time_zone is not None: result['timeZone'] = self.time_zone return result def from_map(self, m: dict = None): m = m or dict() if m.get('date') is not None: self.date = m.get('date') if m.get('dateTime') is not None: self.date_time = m.get('dateTime') if m.get('timeZone') is not None: self.time_zone = m.get('timeZone') return self class PatchEventRequestRecurrencePattern(TeaModel): def __init__( self, type: str = None, day_of_month: int = None, days_of_week: str = None, index: str = None, interval: int = None, ): self.type = type self.day_of_month = day_of_month self.days_of_week = days_of_week self.index = index self.interval = interval def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.day_of_month is not None: result['dayOfMonth'] = self.day_of_month if self.days_of_week is not None: result['daysOfWeek'] = self.days_of_week if self.index is not None: result['index'] = self.index if self.interval is not None: result['interval'] = self.interval return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('dayOfMonth') is not None: self.day_of_month = m.get('dayOfMonth') if m.get('daysOfWeek') is not None: self.days_of_week = m.get('daysOfWeek') if m.get('index') is not None: self.index = m.get('index') if m.get('interval') is not None: self.interval = m.get('interval') return self class PatchEventRequestRecurrenceRange(TeaModel): def __init__( self, type: str = None, end_date: str = None, number_of_occurrences: int = None, ): self.type = type self.end_date = end_date self.number_of_occurrences = number_of_occurrences def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.end_date is not None: result['endDate'] = self.end_date if self.number_of_occurrences is not None: result['numberOfOccurrences'] = self.number_of_occurrences return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('endDate') is not None: self.end_date = m.get('endDate') if m.get('numberOfOccurrences') is not None: self.number_of_occurrences = m.get('numberOfOccurrences') return self class PatchEventRequestRecurrence(TeaModel): def __init__( self, pattern: PatchEventRequestRecurrencePattern = None, range: PatchEventRequestRecurrenceRange = None, ): self.pattern = pattern self.range = range def validate(self): if self.pattern: self.pattern.validate() if self.range: self.range.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.pattern is not None: result['pattern'] = self.pattern.to_map() if self.range is not None: result['range'] = self.range.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('pattern') is not None: temp_model = PatchEventRequestRecurrencePattern() self.pattern = temp_model.from_map(m['pattern']) if m.get('range') is not None: temp_model = PatchEventRequestRecurrenceRange() self.range = temp_model.from_map(m['range']) return self class PatchEventRequestAttendees(TeaModel): def __init__( self, id: str = None, ): self.id = id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.id is not None: result['id'] = self.id return result def from_map(self, m: dict = None): m = m or dict() if m.get('id') is not None: self.id = m.get('id') return self class PatchEventRequestLocation(TeaModel): def __init__( self, display_name: str = None, ): self.display_name = display_name def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.display_name is not None: result['displayName'] = self.display_name return result def from_map(self, m: dict = None): m = m or dict() if m.get('displayName') is not None: self.display_name = m.get('displayName') return self class PatchEventRequestReminders(TeaModel): def __init__( self, method: str = None, minutes: int = None, ): self.method = method self.minutes = minutes def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.method is not None: result['method'] = self.method if self.minutes is not None: result['minutes'] = self.minutes return result def from_map(self, m: dict = None): m = m or dict() if m.get('method') is not None: self.method = m.get('method') if m.get('minutes') is not None: self.minutes = m.get('minutes') return self class PatchEventRequest(TeaModel): def __init__( self, summary: str = None, id: str = None, description: str = None, start: PatchEventRequestStart = None, end: PatchEventRequestEnd = None, is_all_day: bool = None, recurrence: PatchEventRequestRecurrence = None, attendees: List[PatchEventRequestAttendees] = None, location: PatchEventRequestLocation = None, extra: Dict[str, str] = None, reminders: List[PatchEventRequestReminders] = None, ): # 日程标题 self.summary = summary # 日程id self.id = id self.description = description # 日程开始时间 self.start = start self.end = end self.is_all_day = is_all_day self.recurrence = recurrence self.attendees = attendees self.location = location # 扩展信息 self.extra = extra self.reminders = reminders def validate(self): if self.start: self.start.validate() if self.end: self.end.validate() if self.recurrence: self.recurrence.validate() if self.attendees: for k in self.attendees: if k: k.validate() if self.location: self.location.validate() if self.reminders: for k in self.reminders: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.summary is not None: result['summary'] = self.summary if self.id is not None: result['id'] = self.id if self.description is not None: result['description'] = self.description if self.start is not None: result['start'] = self.start.to_map() if self.end is not None: result['end'] = self.end.to_map() if self.is_all_day is not None: result['isAllDay'] = self.is_all_day if self.recurrence is not None: result['recurrence'] = self.recurrence.to_map() result['attendees'] = [] if self.attendees is not None: for k in self.attendees: result['attendees'].append(k.to_map() if k else None) if self.location is not None: result['location'] = self.location.to_map() if self.extra is not None: result['extra'] = self.extra result['reminders'] = [] if self.reminders is not None: for k in self.reminders: result['reminders'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() if m.get('summary') is not None: self.summary = m.get('summary') if m.get('id') is not None: self.id = m.get('id') if m.get('description') is not None: self.description = m.get('description') if m.get('start') is not None: temp_model = PatchEventRequestStart() self.start = temp_model.from_map(m['start']) if m.get('end') is not None: temp_model = PatchEventRequestEnd() self.end = temp_model.from_map(m['end']) if m.get('isAllDay') is not None: self.is_all_day = m.get('isAllDay') if m.get('recurrence') is not None: temp_model = PatchEventRequestRecurrence() self.recurrence = temp_model.from_map(m['recurrence']) self.attendees = [] if m.get('attendees') is not None: for k in m.get('attendees'): temp_model = PatchEventRequestAttendees() self.attendees.append(temp_model.from_map(k)) if m.get('location') is not None: temp_model = PatchEventRequestLocation() self.location = temp_model.from_map(m['location']) if m.get('extra') is not None: self.extra = m.get('extra') self.reminders = [] if m.get('reminders') is not None: for k in m.get('reminders'): temp_model = PatchEventRequestReminders() self.reminders.append(temp_model.from_map(k)) return self class PatchEventResponseBodyStart(TeaModel): def __init__( self, date: str = None, date_time: str = None, time_zone: str = None, ): self.date = date self.date_time = date_time self.time_zone = time_zone def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.date is not None: result['date'] = self.date if self.date_time is not None: result['dateTime'] = self.date_time if self.time_zone is not None: result['timeZone'] = self.time_zone return result def from_map(self, m: dict = None): m = m or dict() if m.get('date') is not None: self.date = m.get('date') if m.get('dateTime') is not None: self.date_time = m.get('dateTime') if m.get('timeZone') is not None: self.time_zone = m.get('timeZone') return self class PatchEventResponseBodyEnd(TeaModel): def __init__( self, date: str = None, date_time: str = None, time_zone: str = None, ): self.date = date self.date_time = date_time self.time_zone = time_zone def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.date is not None: result['date'] = self.date if self.date_time is not None: result['dateTime'] = self.date_time if self.time_zone is not None: result['timeZone'] = self.time_zone return result def from_map(self, m: dict = None): m = m or dict() if m.get('date') is not None: self.date = m.get('date') if m.get('dateTime') is not None: self.date_time = m.get('dateTime') if m.get('timeZone') is not None: self.time_zone = m.get('timeZone') return self class PatchEventResponseBodyRecurrencePattern(TeaModel): def __init__( self, type: str = None, day_of_month: int = None, days_of_week: str = None, index: str = None, interval: int = None, ): self.type = type self.day_of_month = day_of_month self.days_of_week = days_of_week self.index = index self.interval = interval def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.day_of_month is not None: result['dayOfMonth'] = self.day_of_month if self.days_of_week is not None: result['daysOfWeek'] = self.days_of_week if self.index is not None: result['index'] = self.index if self.interval is not None: result['interval'] = self.interval return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('dayOfMonth') is not None: self.day_of_month = m.get('dayOfMonth') if m.get('daysOfWeek') is not None: self.days_of_week = m.get('daysOfWeek') if m.get('index') is not None: self.index = m.get('index') if m.get('interval') is not None: self.interval = m.get('interval') return self class PatchEventResponseBodyRecurrenceRange(TeaModel): def __init__( self, type: str = None, end_date: str = None, number_of_occurrences: int = None, ): self.type = type self.end_date = end_date self.number_of_occurrences = number_of_occurrences def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.end_date is not None: result['endDate'] = self.end_date if self.number_of_occurrences is not None: result['numberOfOccurrences'] = self.number_of_occurrences return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('endDate') is not None: self.end_date = m.get('endDate') if m.get('numberOfOccurrences') is not None: self.number_of_occurrences = m.get('numberOfOccurrences') return self class PatchEventResponseBodyRecurrence(TeaModel): def __init__( self, pattern: PatchEventResponseBodyRecurrencePattern = None, range: PatchEventResponseBodyRecurrenceRange = None, ): self.pattern = pattern self.range = range def validate(self): if self.pattern: self.pattern.validate() if self.range: self.range.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.pattern is not None: result['pattern'] = self.pattern.to_map() if self.range is not None: result['range'] = self.range.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('pattern') is not None: temp_model = PatchEventResponseBodyRecurrencePattern() self.pattern = temp_model.from_map(m['pattern']) if m.get('range') is not None: temp_model = PatchEventResponseBodyRecurrenceRange() self.range = temp_model.from_map(m['range']) return self class PatchEventResponseBodyAttendees(TeaModel): def __init__( self, id: str = None, display_name: str = None, response_status: str = None, self_: bool = None, ): self.id = id # 用户名 self.display_name = display_name # 回复状态 self.response_status = response_status # 是否是当前登陆用户 self.self_ = self_ def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.id is not None: result['id'] = self.id if self.display_name is not None: result['displayName'] = self.display_name if self.response_status is not None: result['responseStatus'] = self.response_status if self.self_ is not None: result['self'] = self.self_ return result def from_map(self, m: dict = None): m = m or dict() if m.get('id') is not None: self.id = m.get('id') if m.get('displayName') is not None: self.display_name = m.get('displayName') if m.get('responseStatus') is not None: self.response_status = m.get('responseStatus') if m.get('self') is not None: self.self_ = m.get('self') return self class PatchEventResponseBodyOrganizer(TeaModel): def __init__( self, id: str = None, display_name: str = None, response_status: str = None, self_: bool = None, ): self.id = id # 用户名 self.display_name = display_name # 回复状态 self.response_status = response_status # 是否是当前登陆用户 self.self_ = self_ def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.id is not None: result['id'] = self.id if self.display_name is not None: result['displayName'] = self.display_name if self.response_status is not None: result['responseStatus'] = self.response_status if self.self_ is not None: result['self'] = self.self_ return result def from_map(self, m: dict = None): m = m or dict() if m.get('id') is not None: self.id = m.get('id') if m.get('displayName') is not None: self.display_name = m.get('displayName') if m.get('responseStatus') is not None: self.response_status = m.get('responseStatus') if m.get('self') is not None: self.self_ = m.get('self') return self class PatchEventResponseBodyLocation(TeaModel): def __init__( self, display_name: str = None, ): self.display_name = display_name def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.display_name is not None: result['displayName'] = self.display_name return result def from_map(self, m: dict = None): m = m or dict() if m.get('displayName') is not None: self.display_name = m.get('displayName') return self class PatchEventResponseBodyReminders(TeaModel): def __init__( self, method: str = None, minutes: str = None, ): self.method = method self.minutes = minutes def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.method is not None: result['method'] = self.method if self.minutes is not None: result['minutes'] = self.minutes return result def from_map(self, m: dict = None): m = m or dict() if m.get('method') is not None: self.method = m.get('method') if m.get('minutes') is not None: self.minutes = m.get('minutes') return self class PatchEventResponseBody(TeaModel): def __init__( self, id: str = None, summary: str = None, description: str = None, start: PatchEventResponseBodyStart = None, end: PatchEventResponseBodyEnd = None, is_all_day: bool = None, recurrence: PatchEventResponseBodyRecurrence = None, attendees: List[PatchEventResponseBodyAttendees] = None, organizer: PatchEventResponseBodyOrganizer = None, location: PatchEventResponseBodyLocation = None, reminders: List[PatchEventResponseBodyReminders] = None, create_time: str = None, update_time: str = None, ): self.id = id self.summary = summary self.description = description # 日程开始时间 self.start = start self.end = end self.is_all_day = is_all_day self.recurrence = recurrence self.attendees = attendees self.organizer = organizer self.location = location self.reminders = reminders # 创建时间 self.create_time = create_time # 更新时间 self.update_time = update_time def validate(self): if self.start: self.start.validate() if self.end: self.end.validate() if self.recurrence: self.recurrence.validate() if self.attendees: for k in self.attendees: if k: k.validate() if self.organizer: self.organizer.validate() if self.location: self.location.validate() if self.reminders: for k in self.reminders: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.id is not None: result['id'] = self.id if self.summary is not None: result['summary'] = self.summary if self.description is not None: result['description'] = self.description if self.start is not None: result['start'] = self.start.to_map() if self.end is not None: result['end'] = self.end.to_map() if self.is_all_day is not None: result['isAllDay'] = self.is_all_day if self.recurrence is not None: result['recurrence'] = self.recurrence.to_map() result['attendees'] = [] if self.attendees is not None: for k in self.attendees: result['attendees'].append(k.to_map() if k else None) if self.organizer is not None: result['organizer'] = self.organizer.to_map() if self.location is not None: result['location'] = self.location.to_map() result['reminders'] = [] if self.reminders is not None: for k in self.reminders: result['reminders'].append(k.to_map() if k else None) if self.create_time is not None: result['createTime'] = self.create_time if self.update_time is not None: result['updateTime'] = self.update_time return result def from_map(self, m: dict = None): m = m or dict() if m.get('id') is not None: self.id = m.get('id') if m.get('summary') is not None: self.summary = m.get('summary') if m.get('description') is not None: self.description = m.get('description') if m.get('start') is not None: temp_model = PatchEventResponseBodyStart() self.start = temp_model.from_map(m['start']) if m.get('end') is not None: temp_model = PatchEventResponseBodyEnd() self.end = temp_model.from_map(m['end']) if m.get('isAllDay') is not None: self.is_all_day = m.get('isAllDay') if m.get('recurrence') is not None: temp_model = PatchEventResponseBodyRecurrence() self.recurrence = temp_model.from_map(m['recurrence']) self.attendees = [] if m.get('attendees') is not None: for k in m.get('attendees'): temp_model = PatchEventResponseBodyAttendees() self.attendees.append(temp_model.from_map(k)) if m.get('organizer') is not None: temp_model = PatchEventResponseBodyOrganizer() self.organizer = temp_model.from_map(m['organizer']) if m.get('location') is not None: temp_model = PatchEventResponseBodyLocation() self.location = temp_model.from_map(m['location']) self.reminders = [] if m.get('reminders') is not None: for k in m.get('reminders'): temp_model = PatchEventResponseBodyReminders() self.reminders.append(temp_model.from_map(k)) if m.get('createTime') is not None: self.create_time = m.get('createTime') if m.get('updateTime') is not None: self.update_time = m.get('updateTime') return self class PatchEventResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: PatchEventResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = PatchEventResponseBody() self.body = temp_model.from_map(m['body']) return self

30.017219

180

0.565853

22,991

188,268

4.466748

0.019703

0.049808

0.089654

0.060909

0.856828

0.845543

0.840265

0.832056

0.827801

0.820527

0

0.000287

0.334396

188,268

6,271

181

30.022006

0.819227

0.013066

0

0.903857

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false

0.019958

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0.22299

0

null

0

1

0

1

0

null

0

8

3505e19a49ba5949851a1ac32a5e6b7506d89bef

11,139

py

Python

Tic Tac Toe/tic-tac-toe.py

Tess314/python-projects

01d2e85d717c8b31b78bc21219baf5c0cfd48e91

[ "Apache-2.0" ]

null

Tic Tac Toe/tic-tac-toe.py

Tess314/python-projects

01d2e85d717c8b31b78bc21219baf5c0cfd48e91

[ "Apache-2.0" ]

null

Tic Tac Toe/tic-tac-toe.py

Tess314/python-projects

01d2e85d717c8b31b78bc21219baf5c0cfd48e91

[ "Apache-2.0" ]

null

import pygame pygame.init() size = width, height = 550, 540 screen = pygame.display.set_mode(size) pygame.display.set_caption("Tic Tac Toe") # drawing on screen zero = pygame.draw.rect(screen, (255, 255, 255), (20, 20, 150, 150)) first = pygame.draw.rect(screen, (255, 255, 255), (200, 20, 150, 150)) second = pygame.draw.rect(screen, (255, 255, 255), (380, 20, 150, 150)) third = pygame.draw.rect(screen, (255, 255, 255), (20, 190, 150, 150)) fourth = pygame.draw.rect(screen, (255, 255, 255), (200, 190, 150, 150)) fifth = pygame.draw.rect(screen, (255, 255, 255), (380, 190, 150, 150)) sixth = pygame.draw.rect(screen, (255, 255, 255), (20, 360, 150, 150)) seventh = pygame.draw.rect(screen, (255, 255, 255), (200, 360, 150, 150)) eighth = pygame.draw.rect(screen, (255, 255, 255), (380, 360, 150, 150)) running = True # 0: red, 1: yellow, 2: idle / empty gameState = [2, 2, 2, 2, 2, 2, 2, 2, 2] winningPositions = [[0, 1, 2], [3, 4, 5], [6, 7, 8], [0, 3, 6], [1, 4, 7], [2, 5, 8], [0, 4, 8], [2, 4, 6]] activePlayer = 0 while running: for event in pygame.event.get(): if event.type == pygame.QUIT: running = False if event.type == pygame.MOUSEBUTTONDOWN: if zero.collidepoint(event.pos): if gameState[0] == 2: gameState[0] = activePlayer if activePlayer == 0: pygame.draw.rect(screen, (255, 0, 0), (45, 45, 100, 100)) activePlayer = 1 else: pygame.draw.rect(screen, (0, 255, 0), (45, 45, 100, 100)) activePlayer = 0 for winningPos in winningPositions: if gameState[winningPos[0]] == gameState[winningPos[1]] and gameState[winningPos[1]] == \ gameState[winningPos[2]]: if gameState[winningPos[0]] != 2: if activePlayer == 0: print("Green has won") running = False elif activePlayer == 1: print("Red has won") running = False if first.collidepoint(event.pos): if gameState[1] == 2: gameState[1] = activePlayer if activePlayer == 0: pygame.draw.rect(screen, (255, 0, 0), (225, 45, 100, 100)) activePlayer = 1 else: pygame.draw.rect(screen, (0, 255, 0), (225, 45, 100, 100)) activePlayer = 0 for winningPos in winningPositions: if gameState[winningPos[0]] == gameState[winningPos[1]] and gameState[winningPos[1]] == \ gameState[winningPos[2]]: if gameState[winningPos[0]] != 2: if activePlayer == 0: print("Green has won") running = False elif activePlayer == 1: print("Red has won") running = False if second.collidepoint(event.pos): if gameState[2] == 2: gameState[2] = activePlayer if activePlayer == 0: pygame.draw.rect(screen, (255, 0, 0), (405, 45, 100, 100)) activePlayer = 1 else: pygame.draw.rect(screen, (0, 255, 0), (405, 45, 100, 100)) activePlayer = 0 for winningPos in winningPositions: if gameState[winningPos[0]] == gameState[winningPos[1]] and gameState[winningPos[1]] == \ gameState[winningPos[2]]: if gameState[winningPos[0]] != 2: if activePlayer == 0: print("Green has won") running = False elif activePlayer == 1: print("Red has won") running = False if third.collidepoint(event.pos): if gameState[3] == 2: gameState[3] = activePlayer if activePlayer == 0: pygame.draw.rect(screen, (255, 0, 0), (45, 215, 100, 100)) activePlayer = 1 else: pygame.draw.rect(screen, (0, 255, 0), (45, 215, 100, 100)) activePlayer = 0 for winningPos in winningPositions: if gameState[winningPos[0]] == gameState[winningPos[1]] and gameState[winningPos[1]] == \ gameState[winningPos[2]]: if gameState[winningPos[0]] != 2: if activePlayer == 0: print("Green has won") running = False elif activePlayer == 1: print("Red has won") running = False if fourth.collidepoint(event.pos): if gameState[4] == 2: gameState[4] = activePlayer if activePlayer == 0: pygame.draw.rect(screen, (255, 0, 0), (225, 215, 100, 100)) activePlayer = 1 else: pygame.draw.rect(screen, (0, 255, 0), (225, 215, 100, 100)) activePlayer = 0 for winningPos in winningPositions: if gameState[winningPos[0]] == gameState[winningPos[1]] and gameState[winningPos[1]] == \ gameState[winningPos[2]]: if gameState[winningPos[0]] != 2: if activePlayer == 0: print("Green has won") running = False elif activePlayer == 1: print("Red has won") running = False if fifth.collidepoint(event.pos): if gameState[5] == 2: gameState[5] = activePlayer if activePlayer == 0: pygame.draw.rect(screen, (255, 0, 0), (405, 215, 100, 100)) activePlayer = 1 else: pygame.draw.rect(screen, (0, 255, 0), (405, 215, 100, 100)) activePlayer = 0 for winningPos in winningPositions: if gameState[winningPos[0]] == gameState[winningPos[1]] and gameState[winningPos[1]] == \ gameState[winningPos[2]]: if gameState[winningPos[0]] != 2: if activePlayer == 0: print("Green has won") running = False elif activePlayer == 1: print("Red has won") running = False if sixth.collidepoint(event.pos): if gameState[6] == 2: gameState[6] = activePlayer if activePlayer == 0: pygame.draw.rect(screen, (255, 0, 0), (45, 385, 100, 100)) activePlayer = 1 else: pygame.draw.rect(screen, (0, 255, 0), (45, 385, 100, 100)) activePlayer = 0 for winningPos in winningPositions: if gameState[winningPos[0]] == gameState[winningPos[1]] and gameState[winningPos[1]] == \ gameState[winningPos[2]]: if gameState[winningPos[0]] != 2: if activePlayer == 0: print("Green has won") running = False elif activePlayer == 1: print("Red has won") running = False if seventh.collidepoint(event.pos): if gameState[7] == 2: gameState[7] = activePlayer if activePlayer == 0: pygame.draw.rect(screen, (255, 0, 0), (225, 385, 100, 100)) activePlayer = 1 else: pygame.draw.rect(screen, (0, 255, 0), (225, 385, 100, 100)) activePlayer = 0 for winningPos in winningPositions: if gameState[winningPos[0]] == gameState[winningPos[1]] and gameState[winningPos[1]] == \ gameState[winningPos[2]]: if gameState[winningPos[0]] != 2: if activePlayer == 0: print("Green has won") running = False elif activePlayer == 1: print("Red has won") running = False if eighth.collidepoint(event.pos): if gameState[8] == 2: gameState[8] = activePlayer if activePlayer == 0: pygame.draw.rect(screen, (255, 0, 0), (405, 385, 100, 100)) activePlayer = 1 else: pygame.draw.rect(screen, (0, 255, 0), (405, 385, 100, 100)) activePlayer = 0 for winningPos in winningPositions: if gameState[winningPos[0]] == gameState[winningPos[1]] and gameState[winningPos[1]] == \ gameState[winningPos[2]]: if gameState[winningPos[0]] != 2: if activePlayer == 0: print("Green has won") running = False elif activePlayer == 1: print("Red has won") running = False pygame.display.update() pygame.quit()

46.028926

114

0.396176

951

11,139

4.638276

0.085174

0.193834

0.085695

0.122421

0.857175

0.793924

0.727273

0

0.117093

0.504713

11,139

241

115

46.219917

0.682436

0.004668

0

0.653061

0

0.020935

0

1

0

false

0

0.005102

0

0.005102

0.091837

0

null

0

1

0

1

0

null

0

7

351798eb97f31a3dff2f82010c79bf3a03f4084f

67

py

Python

pyclesperanto_prototype/_tier11/__init__.py

elsandal/pyclesperanto_prototype

7bda828813b86b44b63d73d5e8f466d9769cded1

[ "BSD-3-Clause" ]

2

2020-07-01T06:20:44.000Z

2020-07-01T09:36:48.000Z

pyclesperanto_prototype/_tier11/__init__.py

elsandal/pyclesperanto_prototype

7bda828813b86b44b63d73d5e8f466d9769cded1

[ "BSD-3-Clause" ]

null

pyclesperanto_prototype/_tier11/__init__.py

elsandal/pyclesperanto_prototype

7bda828813b86b44b63d73d5e8f466d9769cded1

[ "BSD-3-Clause" ]

1

2020-06-29T18:40:54.000Z

from ._reduce_labels_to_centroids import reduce_labels_to_centroids

67

0.940299

10

67

5.6

0.6

0.428571

0.5

0.821429

0

0.044776

67

1

67

0.875

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

3525befe73618719729248ff71b6633a3b06e13c

4,217

py

Python

UserAgentRandom/TianYanSpider.py

MrJianLiang/test_obj

e6898d746e92e576f96f432ee2355f8c912e7d1e

[ "Apache-2.0" ]

null

UserAgentRandom/TianYanSpider.py

MrJianLiang/test_obj

e6898d746e92e576f96f432ee2355f8c912e7d1e

[ "Apache-2.0" ]

null

UserAgentRandom/TianYanSpider.py

MrJianLiang/test_obj

e6898d746e92e576f96f432ee2355f8c912e7d1e

[ "Apache-2.0" ]

null

import requests import time import random # def headers(): # # 随机更换user-agents # agents = [ # 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.87 Safari/537.36', # 'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:46.0) Gecko/20100101 Firefox/46.0', # 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.87 Safari/537.36 OPR/37.0.2178.32', # 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/534.57.2 (KHTML, like Gecko) Version/5.1.7 Safari/534.57.2', # 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36', # 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36', # 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2486.0 Safari/537.36 Edge/13.10586', # 'Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko', # 'Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.1; WOW64; Trident/6.0)', # 'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0)', # 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.106 BIDUBrowser/8.3 Safari/537.36', # 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Maxthon/4.9.2.1000 Chrome/39.0.2146.0 Safari/537.36', # 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.80 Safari/537.36 Core/1.47.277.400 QQBrowser/9.4.7658.400', # 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 UBrowser/5.6.12150.8 Safari/537.36', # 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.122 Safari/537.36 SE 2.X MetaSr 1.0', # ] # Agent = random.choice(agents) # headers = { # "User-Agent": Agent, # } # return headers class UserAgentOne(): def random_ua(self): import random # 随机更换UA agents = [ 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.87 Safari/537.36', 'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:46.0) Gecko/20100101 Firefox/46.0', 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.87 Safari/537.36 OPR/37.0.2178.32', 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/534.57.2 (KHTML, like Gecko) Version/5.1.7 Safari/534.57.2', 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36', 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.101 Safari/537.36', 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/46.0.2486.0 Safari/537.36 Edge/13.10586', 'Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko', 'Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.1; WOW64; Trident/6.0)', 'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0)', 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.106 BIDUBrowser/8.3 Safari/537.36', 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Maxthon/4.9.2.1000 Chrome/39.0.2146.0 Safari/537.36', 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.80 Safari/537.36 Core/1.47.277.400 QQBrowser/9.4.7658.400', 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 UBrowser/5.6.12150.8 Safari/537.36', 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/38.0.2125.122 Safari/537.36 SE 2.X MetaSr 1.0', ] agents = random.choice(agents) # print(agents) return agents if __name__ == '__main__': ua = UserAgentOne() ua_rand = ua.random_ua() print(ua_rand)

70.283333

164

0.640977

738

4,217

3.646341

0.131436

0.074322

0.100334

0.154589

0.901524

0

0.226282

0.195162

4,217

60

165

70.283333

0.566588

0.469528

0

0.137931

0

0.517241

0.738009

0.009955

0

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0.034483

false

0

0.137931

0

0.241379

0.034483

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null

0

1

0

1

0

1

0

null

0

9

3541f99c908b6af282f185155caa84cd714057e1

2,618

py

Python

problems/p008.py

VincentHaring/python_project-euler

b6845047097a61b0487ad15a0c40c703a307c7b5

[ "MIT" ]

null

problems/p008.py

VincentHaring/python_project-euler

b6845047097a61b0487ad15a0c40c703a307c7b5

[ "MIT" ]

null

problems/p008.py

VincentHaring/python_project-euler

b6845047097a61b0487ad15a0c40c703a307c7b5

[ "MIT" ]

null

""" Problem 8 The four adjacent digits in the 1000-digit number that have the greatest product are 9 × 9 × 8 × 9 = 5832. 73167176531330624919225119674426574742355349194934 96983520312774506326239578318016984801869478851843 85861560789112949495459501737958331952853208805511 12540698747158523863050715693290963295227443043557 66896648950445244523161731856403098711121722383113 62229893423380308135336276614282806444486645238749 30358907296290491560440772390713810515859307960866 70172427121883998797908792274921901699720888093776 65727333001053367881220235421809751254540594752243 52584907711670556013604839586446706324415722155397 53697817977846174064955149290862569321978468622482 83972241375657056057490261407972968652414535100474 82166370484403199890008895243450658541227588666881 16427171479924442928230863465674813919123162824586 17866458359124566529476545682848912883142607690042 24219022671055626321111109370544217506941658960408 07198403850962455444362981230987879927244284909188 84580156166097919133875499200524063689912560717606 05886116467109405077541002256983155200055935729725 71636269561882670428252483600823257530420752963450 Find the thirteen adjacent digits in the 1000-digit number that have the greatest product. What is the value of this product? """ from helper import * def p8(): n = ( '73167176531330624919225119674426574742355349194934' '96983520312774506326239578318016984801869478851843' '85861560789112949495459501737958331952853208805511' '12540698747158523863050715693290963295227443043557' '66896648950445244523161731856403098711121722383113' '62229893423380308135336276614282806444486645238749' '30358907296290491560440772390713810515859307960866' '70172427121883998797908792274921901699720888093776' '65727333001053367881220235421809751254540594752243' '52584907711670556013604839586446706324415722155397' '53697817977846174064955149290862569321978468622482' '83972241375657056057490261407972968652414535100474' '82166370484403199890008895243450658541227588666881' '16427171479924442928230863465674813919123162824586' '17866458359124566529476545682848912883142607690042' '24219022671055626321111109370544217506941658960408' '07198403850962455444362981230987879927244284909188' '84580156166097919133875499200524063689912560717606' '05886116467109405077541002256983155200055935729725' '71636269561882670428252483600823257530420752963450' ) s = 13 l = [] for i in range((len(n)-s)+1): c = 1 for j in range(i,i+s): c *= int(n[j]) l.append(c) return max(l) if __name__ == "__main__": print("Problem 8: %d" % p8())

34.447368

125

0.880443

131

2,618

17.557252

0.534351

0.006957

0.013913

0.016522

0.921739

0

0.839486

0.079068

2,618

76

126

34.447368

0.113231

0.483193

0

0.758544

0.742942

0

1

0

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0.029412

false

0

0.029412

0

0.088235

0.029412

0

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null

0

1

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1

0

1

0

1

null

1

0

12

102b708fa1ed4cb2a73e19b5b09ef9ce2b4e9ae2

8,498

py

Python

tests/test_memocell_utils.py

hoefer-lab/memocell

5dc08d121e64fbde1ccdce86f0f1390e6918d255

[ "MIT" ]

null

tests/test_memocell_utils.py

hoefer-lab/memocell

5dc08d121e64fbde1ccdce86f0f1390e6918d255

[ "MIT" ]

null

tests/test_memocell_utils.py

hoefer-lab/memocell

5dc08d121e64fbde1ccdce86f0f1390e6918d255

[ "MIT" ]

1

2021-05-25T12:54:51.000Z

# for package testing with pytest call # in upper directory "$ python setup.py pytest" # or in this directory "$ py.test test_memocell_[...].py" # or after pip installation $py.test --pyargs memocell$ import pytest import memocell as me import numpy as np class TestUtilsModule(object): def test_utils_phase_type_from_erlang_1(self): a, S = me.utils.phase_type_from_erlang(0.2, 1) np.testing.assert_allclose(a, np.array([[1.]])) np.testing.assert_allclose(S, np.array([[-0.2]])) def test_utils_phase_type_from_erlang_1_pdf(self): a, S = me.utils.phase_type_from_erlang(0.2, 1) x = np.linspace(0.0, 20.0, num=11, endpoint=True) y = me.utils.phase_type_pdf(a, S, x) np.testing.assert_allclose(y, np.array([0.2 , 0.13406401, 0.08986579, 0.06023884, 0.0403793 , 0.02706706, 0.01814359, 0.01216201, 0.00815244, 0.00546474, 0.00366313]), rtol=1e-06, atol=1e-06) def test_utils_phase_type_from_erlang_5(self): a, S = me.utils.phase_type_from_erlang(0.2, 5) np.testing.assert_allclose(a, np.array([[1., 0., 0., 0., 0.]])) np.testing.assert_allclose(S, np.array([[-1., 1., 0., 0., 0.], [ 0., -1., 1., 0., 0.], [ 0., 0., -1., 1., 0.], [ 0., 0., 0., -1., 1.], [ 0., 0., 0., 0., -1.]])) def test_utils_phase_type_from_erlang_5_pdf(self): a, S = me.utils.phase_type_from_erlang(0.2, 5) x = np.linspace(0.0, 20.0, num=11, endpoint=True) y = me.utils.phase_type_pdf(a, S, x) np.testing.assert_allclose(y, np.array([0.00000000e+00, 9.02235222e-02, 1.95366815e-01, 1.33852618e-01, 5.72522885e-02, 1.89166374e-02, 5.30859947e-03, 1.33100030e-03, 3.07296050e-04, 6.66159314e-05, 1.37410241e-05]), rtol=1e-06, atol=1e-06) def test_utils_phase_type_from_parallel_erlang2_exp(self): a, S = me.utils.phase_type_from_parallel_erlang2(0.2, 0.1, 1, 1) np.testing.assert_allclose(a, np.array([[1.]])) np.testing.assert_allclose(S, np.array([[-0.3]])) def test_utils_phase_type_from_parallel_erlang2_22(self): a, S = me.utils.phase_type_from_parallel_erlang2(0.2, 0.1, 2, 2) np.testing.assert_allclose(a, np.array([[1., 0., 0.]])) np.testing.assert_allclose(S, np.array([[-0.6, 0.4, 0.2], [ 0. , -0.4, 0. ], [ 0. , 0. , -0.2]])) def test_utils_phase_type_from_parallel_erlang2_12(self): a, S = me.utils.phase_type_from_parallel_erlang2(0.2, 0.1, 1, 2) np.testing.assert_allclose(a, np.array([[1., 0.]])) np.testing.assert_allclose(S, np.array([[-0.4, 0.2], [ 0. , -0.2]])) def test_utils_phase_type_from_parallel_erlang2_21(self): a, S = me.utils.phase_type_from_parallel_erlang2(0.2, 0.1, 2, 1) np.testing.assert_allclose(a, np.array([[1., 0.]])) np.testing.assert_allclose(S, np.array([[-0.5, 0.4], [ 0. , -0.4]])) def test_utils_phase_type_from_parallel_erlang2(self): a, S = me.utils.phase_type_from_parallel_erlang2(0.2, 0.1, 5, 8) np.testing.assert_allclose(a, np.array([[1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]])) np.testing.assert_allclose(S, np.array([[-1.8, 1. , 0. , 0. , 0. , 0.8, 0. , 0. , 0. , 0. , 0. , 0. ], [ 0. , -1. , 1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ], [ 0. , 0. , -1. , 1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ], [ 0. , 0. , 0. , -1. , 1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ], [ 0. , 0. , 0. , 0. , -1. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ], [ 0. , 0. , 0. , 0. , 0. , -0.8, 0.8, 0. , 0. , 0. , 0. , 0. ], [ 0. , 0. , 0. , 0. , 0. , 0. , -0.8, 0.8, 0. , 0. , 0. , 0. ], [ 0. , 0. , 0. , 0. , 0. , 0. , 0. , -0.8, 0.8, 0. , 0. , 0. ], [ 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , -0.8, 0.8, 0. , 0. ], [ 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , -0.8, 0.8, 0. ], [ 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , -0.8, 0.8], [ 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , -0.8]])) def test_utils_phase_type_from_parallel_erlang2_pdf(self): a, S = me.utils.phase_type_from_parallel_erlang2(0.2, 0.1, 5, 8) x = np.linspace(0.0, 20.0, num=11, endpoint=True) y = me.utils.phase_type_pdf(a, S, x) np.testing.assert_allclose(y, np.array([0. , 0.06827431, 0.13007684, 0.10767396, 0.07956391, 0.0543326 , 0.03245024, 0.01689615, 0.00782326, 0.00329188, 0.00128175]), rtol=1e-06, atol=1e-06) def test_utils_phase_type_from_parallel_erlang3_exp(self): a, S = me.utils.phase_type_from_parallel_erlang3(0.2, 0.1, 0.05, 1, 1, 1) np.testing.assert_allclose(a, np.array([[1.]])) np.testing.assert_allclose(S, np.array([[-0.35]])) def test_utils_phase_type_from_parallel_erlang3_222(self): a, S = me.utils.phase_type_from_parallel_erlang3(0.2, 0.1, 0.05, 2, 2, 2) np.testing.assert_allclose(a, np.array([[1., 0., 0., 0.]])) np.testing.assert_allclose(S, np.array([[-0.7, 0.4, 0.2, 0.1], [ 0. , -0.4, 0. , 0. ], [ 0. , 0. , -0.2, 0. ], [ 0. , 0. , 0. , -0.1]])) def test_utils_phase_type_from_parallel_erlang3_112(self): a, S = me.utils.phase_type_from_parallel_erlang3(0.2, 0.1, 0.05, 1, 1, 2) np.testing.assert_allclose(a, np.array([[1., 0.]])) np.testing.assert_allclose(S, np.array([[-0.4, 0.1], [ 0. , -0.1]])) def test_utils_phase_type_from_parallel_erlang3_221(self): a, S = me.utils.phase_type_from_parallel_erlang3(0.2, 0.1, 0.05, 2, 2, 1) np.testing.assert_allclose(a, np.array([[1., 0., 0.]])) np.testing.assert_allclose(S, np.array([[-0.65, 0.4 , 0.2 ], [ 0. , -0.4 , 0. ], [ 0. , 0. , -0.2 ]])) def test_utils_phase_type_from_parallel_erlang3(self): a, S = me.utils.phase_type_from_parallel_erlang3(0.2, 0.1, 0.05, 2, 4, 3) np.testing.assert_allclose(a, np.array([[1., 0., 0., 0., 0., 0., 0.]])) np.testing.assert_allclose(S, np.array([[-0.95, 0.4 , 0.4 , 0. , 0. , 0.15, 0. ], [ 0. , -0.4 , 0. , 0. , 0. , 0. , 0. ], [ 0. , 0. , -0.4 , 0.4 , 0. , 0. , 0. ], [ 0. , 0. , 0. , -0.4 , 0.4 , 0. , 0. ], [ 0. , 0. , 0. , 0. , -0.4 , 0. , 0. ], [ 0. , 0. , 0. , 0. , 0. , -0.15, 0.15], [ 0. , 0. , 0. , 0. , 0. , 0. , -0.15]])) def test_utils_phase_type_from_parallel_erlang3_pdf(self): a, S = me.utils.phase_type_from_parallel_erlang3(0.2, 0.1, 0.05, 2, 4, 3) x = np.linspace(0.0, 20.0, num=11, endpoint=True) y = me.utils.phase_type_pdf(a, S, x) np.testing.assert_allclose(y, np.array([0. , 0.10223638, 0.09316866, 0.07696751, 0.0596036 , 0.04347545, 0.03037457, 0.02071724, 0.01403341, 0.00957331, 0.0066425 ]), rtol=1e-06, atol=1e-06)

61.57971

121

0.438103

1,205

8,498

2.918672

0.102905

0.121126

0.143304

0.155815

0.816889

0.813193

0.807222

0.805232

0.714529

0.713961

0

0.18619

0.388209

8,498

137

122

62.029197

0.490287

0.022594

0

0.278261

0

0.243478

1

0.13913

false

0

0.026087

0

0.173913

0

null

0

1

0

1

0

null

0

7

1053e3201c852bc0fce9712ba304d757daff0281

87,888

py

Python

rcnn_dff/symbol/symbol_vgg.py

tonysy/mx-rcnn-flow

b78c3c964c802bb874d673170d7452e7a573a998

[ "Apache-2.0" ]

2

2018-01-31T02:47:42.000Z

2019-07-05T03:48:54.000Z

rcnn_dff/symbol/symbol_vgg.py

tonysy/mx-rcnn-flow

b78c3c964c802bb874d673170d7452e7a573a998

[ "Apache-2.0" ]

null

rcnn_dff/symbol/symbol_vgg.py

tonysy/mx-rcnn-flow

b78c3c964c802bb874d673170d7452e7a573a998

[ "Apache-2.0" ]

null

import mxnet as mx from collections import OrderedDict import proposal import proposal_target import rcnn_iou_loss import rpn_iou_loss import sample_anchors import sample_rois from ..config import config from symbol_flow import conv_unit, stereo_scale_net, feature_warp, feature_propagate, feature_propagate_share def get_vgg_conv(data): """ shared convolutional layers :param data: Symbol :return: Symbol """ # group 1 conv1_1 = mx.symbol.Convolution( data=data, kernel=(3, 3), pad=(1, 1), num_filter=64, workspace=2048, name="conv1_1") relu1_1 = mx.symbol.Activation(data=conv1_1, act_type="relu", name="relu1_1") conv1_2 = mx.symbol.Convolution( data=relu1_1, kernel=(3, 3), pad=(1, 1), num_filter=64, workspace=2048, name="conv1_2") relu1_2 = mx.symbol.Activation(data=conv1_2, act_type="relu", name="relu1_2") pool1 = mx.symbol.Pooling( data=relu1_2, pool_type="max", kernel=(2, 2), stride=(2, 2), name="pool1") # group 2 conv2_1 = mx.symbol.Convolution( data=pool1, kernel=(3, 3), pad=(1, 1), num_filter=128, workspace=2048, name="conv2_1") relu2_1 = mx.symbol.Activation(data=conv2_1, act_type="relu", name="relu2_1") conv2_2 = mx.symbol.Convolution( data=relu2_1, kernel=(3, 3), pad=(1, 1), num_filter=128, workspace=2048, name="conv2_2") relu2_2 = mx.symbol.Activation(data=conv2_2, act_type="relu", name="relu2_2") pool2 = mx.symbol.Pooling( data=relu2_2, pool_type="max", kernel=(2, 2), stride=(2, 2), name="pool2") # group 3 conv3_1 = mx.symbol.Convolution( data=pool2, kernel=(3, 3), pad=(1, 1), num_filter=256, workspace=2048, name="conv3_1") relu3_1 = mx.symbol.Activation(data=conv3_1, act_type="relu", name="relu3_1") conv3_2 = mx.symbol.Convolution( data=relu3_1, kernel=(3, 3), pad=(1, 1), num_filter=256, workspace=2048, name="conv3_2") relu3_2 = mx.symbol.Activation(data=conv3_2, act_type="relu", name="relu3_2") conv3_3 = mx.symbol.Convolution( data=relu3_2, kernel=(3, 3), pad=(1, 1), num_filter=256, workspace=2048, name="conv3_3") relu3_3 = mx.symbol.Activation(data=conv3_3, act_type="relu", name="relu3_3") pool3 = mx.symbol.Pooling( data=relu3_3, pool_type="max", kernel=(2, 2), stride=(2, 2), name="pool3") # group 4 conv4_1 = mx.symbol.Convolution( data=pool3, kernel=(3, 3), pad=(1, 1), num_filter=512, workspace=2048, name="conv4_1") relu4_1 = mx.symbol.Activation(data=conv4_1, act_type="relu", name="relu4_1") conv4_2 = mx.symbol.Convolution( data=relu4_1, kernel=(3, 3), pad=(1, 1), num_filter=512, workspace=2048, name="conv4_2") relu4_2 = mx.symbol.Activation(data=conv4_2, act_type="relu", name="relu4_2") conv4_3 = mx.symbol.Convolution( data=relu4_2, kernel=(3, 3), pad=(1, 1), num_filter=512, workspace=2048, name="conv4_3") relu4_3 = mx.symbol.Activation(data=conv4_3, act_type="relu", name="relu4_3") pool4 = mx.symbol.Pooling( data=relu4_3, pool_type="max", kernel=(2, 2), stride=(2, 2), name="pool4") # group 5 conv5_1 = mx.symbol.Convolution( data=pool4, kernel=(3, 3), pad=(1, 1), num_filter=512, workspace=2048, name="conv5_1") relu5_1 = mx.symbol.Activation(data=conv5_1, act_type="relu", name="relu5_1") conv5_2 = mx.symbol.Convolution( data=relu5_1, kernel=(3, 3), pad=(1, 1), num_filter=512, workspace=2048, name="conv5_2") relu5_2 = mx.symbol.Activation(data=conv5_2, act_type="relu", name="relu5_2") conv5_3 = mx.symbol.Convolution( data=relu5_2, kernel=(3, 3), pad=(1, 1), num_filter=512, workspace=2048, name="conv5_3") relu5_3 = mx.symbol.Activation(data=conv5_3, act_type="relu", name="relu5_3") return relu5_3 def get_vgg_rcnn(num_classes=config.NUM_CLASSES): """ Fast R-CNN with VGG 16 conv layers :param num_classes: used to determine output size :return: Symbol """ data = mx.symbol.Variable(name="data") rois = mx.symbol.Variable(name='rois') label = mx.symbol.Variable(name='label') bbox_target = mx.symbol.Variable(name='bbox_target') bbox_weight = mx.symbol.Variable(name='bbox_weight') # reshape input rois = mx.symbol.Reshape(data=rois, shape=(-1, 5), name='rois_reshape') label = mx.symbol.Reshape(data=label, shape=(-1, ), name='label_reshape') bbox_target = mx.symbol.Reshape(data=bbox_target, shape=(-1, 4 * num_classes), name='bbox_target_reshape') bbox_weight = mx.symbol.Reshape(data=bbox_weight, shape=(-1, 4 * num_classes), name='bbox_weight_reshape') # shared convolutional layers relu5_3 = get_vgg_conv(data) # Fast R-CNN roi_pool = mx.symbol.ROIPooling( name='roi_pool', data=relu5_3, rois=rois, pooled_size=(7, 7), spatial_scale=1.0 / config.RCNN_FEAT_STRIDE) if config.RCNN_CTX_WINDOW: roi_pool_ctx = mx.symbol.ROIPooling( name='roi_pool_ctx', data=relu5_3, rois=rois, pooled_size=(7, 7), spatial_scale=1.0 / config.RCNN_FEAT_STRIDE, pad=0.25) roi_pool_concat = mx.symbol.Concat(roi_pool, roi_pool_ctx, name='roi_pool_concat') roi_pool_red = mx.symbol.Convolution( data=roi_pool_concat, num_filter=512, kernel=(1, 1), stride=(1, 1), name='roi_pool_ctx_red') roi_pool = mx.symbol.Activation(data=roi_pool_red, act_type='relu', name='roi_pool_relu') # group 6 flatten = mx.symbol.Flatten(data=roi_pool, name="flatten") fc6 = mx.symbol.FullyConnected(data=flatten, num_hidden=4096, name="fc6") relu6 = mx.symbol.Activation(data=fc6, act_type="relu", name="relu6") drop6 = mx.symbol.Dropout(data=relu6, p=0.5, name="drop6") # group 7 fc7 = mx.symbol.FullyConnected(data=drop6, num_hidden=4096, name="fc7") relu7 = mx.symbol.Activation(data=fc7, act_type="relu", name="relu7") drop7 = mx.symbol.Dropout(data=relu7, p=0.5, name="drop7") # classification cls_score = mx.symbol.FullyConnected(name='cls_score', data=drop7, num_hidden=num_classes) cls_prob = mx.symbol.SoftmaxOutput(name='cls_prob', data=cls_score, label=label, normalization='batch', is_hidden_layer=config.TRAIN.RCNN_OHEM) # bounding box regression bbox_pred = mx.symbol.FullyConnected(name='bbox_pred', data=drop7, num_hidden=num_classes * 4) if config.RCNN_IOU_LOSS: bbox_loss_ = mx.symbol.Custom(data=bbox_pred, bbox_target=bbox_target, bbox_weight=bbox_weight, rois=rois, op_type='rcnn_iou_loss', name='bbox_loss_', num_classes=num_classes) else: bbox_loss_ = bbox_weight * mx.symbol.smooth_l1(name='bbox_loss_', scalar=1.0, data=(bbox_pred - bbox_target)) if config.TRAIN.RCNN_OHEM: group = mx.symbol.Custom( cls_prob=cls_prob, bbox_loss=bbox_loss_, label=label, rois=rois, bbox_pred=bbox_pred, name='rcnn_ohem', op_type='sample_rois', batch_images=config.TRAIN.BATCH_IMAGES, batch_size=config.TRAIN.BATCH_ROIS, nms_threshold=config.TRAIN.RCNN_OHEM_NMS, iou_loss=config.RCNN_IOU_LOSS, transform=config.TRAIN.RCNN_OHEM_TRANSFORM, ignore=config.TRAIN.RCNN_OHEM_IGNORE) rcnn_group = [group[0], group[1], group[2], group[3]] for ind, name, last_shape in zip(range(len(rcnn_group)), ['cls_prob', 'bbox_loss', 'cls_mask', 'bbox_mask'], [num_classes, num_classes * 4, num_classes, num_classes * 4]): rcnn_group[ind] = mx.symbol.Reshape(data=rcnn_group[ind], shape=(config.TRAIN.BATCH_IMAGES, -1, last_shape), name=name + '_reshape') else: bbox_loss = mx.sym.MakeLoss(name='bbox_loss', data=bbox_loss_, grad_scale=1.0 / config.TRAIN.BATCH_ROIS) rcnn_group = [cls_prob, bbox_loss] for ind, name, last_shape in zip(range(len(rcnn_group)), ['cls_prob', 'bbox_loss'], [num_classes, num_classes * 4]): rcnn_group[ind] = mx.symbol.Reshape(data=rcnn_group[ind], shape=(config.TRAIN.BATCH_IMAGES, -1, last_shape), name=name + '_reshape') # group output group = mx.symbol.Group(rcnn_group) return group def get_vgg_rcnn_test(num_classes=config.NUM_CLASSES): """ Fast R-CNN Network with VGG :param num_classes: used to determine output size :return: Symbol """ data = mx.symbol.Variable(name="data") rois = mx.symbol.Variable(name='rois') # reshape rois rois = mx.symbol.Reshape(data=rois, shape=(-1, 5), name='rois_reshape') # shared convolutional layer relu5_3 = get_vgg_conv(data) # Fast R-CNN roi_pool = mx.symbol.ROIPooling( name='roi_pool', data=relu5_3, rois=rois, pooled_size=(7, 7), spatial_scale=1.0 / config.RCNN_FEAT_STRIDE) if config.RCNN_CTX_WINDOW: roi_pool_ctx = mx.symbol.ROIPooling( name='roi_pool_ctx', data=relu5_3, rois=rois, pooled_size=(7, 7), spatial_scale=1.0 / config.RCNN_FEAT_STRIDE, pad=0.25) roi_pool_concat = mx.symbol.Concat(roi_pool, roi_pool_ctx, name='roi_pool_concat') roi_pool_red = mx.symbol.Convolution( data=roi_pool_concat, num_filter=512, kernel=(1, 1), stride=(1, 1), name='roi_pool_ctx_red') roi_pool = mx.symbol.Activation(data=roi_pool_red, act_type='relu', name='roi_pool_relu') # group 6 flatten = mx.symbol.Flatten(data=roi_pool, name="flatten") fc6 = mx.symbol.FullyConnected(data=flatten, num_hidden=4096, name="fc6") relu6 = mx.symbol.Activation(data=fc6, act_type="relu", name="relu6") drop6 = mx.symbol.Dropout(data=relu6, p=0.5, name="drop6") # group 7 fc7 = mx.symbol.FullyConnected(data=drop6, num_hidden=4096, name="fc7") relu7 = mx.symbol.Activation(data=fc7, act_type="relu", name="relu7") drop7 = mx.symbol.Dropout(data=relu7, p=0.5, name="drop7") # classification cls_score = mx.symbol.FullyConnected(name='cls_score', data=drop7, num_hidden=num_classes) cls_prob = mx.symbol.SoftmaxOutput(name='cls_prob', data=cls_score) # bounding box regression bbox_pred = mx.symbol.FullyConnected(name='bbox_pred', data=drop7, num_hidden=num_classes * 4) # reshape output cls_prob = mx.symbol.Reshape(data=cls_prob, shape=(config.TEST.BATCH_IMAGES, -1, num_classes), name='cls_prob_reshape') bbox_pred = mx.symbol.Reshape(data=bbox_pred, shape=(config.TEST.BATCH_IMAGES, -1, 4 * num_classes), name='bbox_pred_reshape') # group output group = mx.symbol.Group([cls_prob, bbox_pred]) return group def get_vgg_rpn(num_anchors=config.NUM_ANCHORS): """ Region Proposal Network with VGG :param num_anchors: used to determine output size :return: Symbol """ data = mx.symbol.Variable(name="data") label = mx.symbol.Variable(name='label') bbox_target = mx.symbol.Variable(name='bbox_target') bbox_weight = mx.symbol.Variable(name='bbox_weight') # shared convolutional layers relu5_3 = get_vgg_conv(data) # RPN rpn_conv = mx.symbol.Convolution( data=relu5_3, kernel=(3, 3), pad=(1, 1), num_filter=512, name="rpn_conv_3x3") rpn_relu = mx.symbol.Activation(data=rpn_conv, act_type="relu", name="rpn_relu") rpn_cls_score = mx.symbol.Convolution( data=rpn_relu, kernel=(1, 1), pad=(0, 0), num_filter=2 * num_anchors, name="rpn_cls_score") rpn_bbox_pred = mx.symbol.Convolution( data=rpn_relu, kernel=(1, 1), pad=(0, 0), num_filter=4 * num_anchors, name="rpn_bbox_pred") # prepare rpn data rpn_cls_score_reshape = mx.symbol.Reshape( data=rpn_cls_score, shape=(0, 2, -1, 0), name="rpn_cls_score_reshape") # classification cls_prob = mx.symbol.SoftmaxOutput(data=rpn_cls_score_reshape, label=label, multi_output=True, normalization='valid', use_ignore=True, ignore_label=-1, is_hidden_layer=config.TRAIN.RPN_OHEM, name="cls_prob") # bounding box regression if config.RPN_IOU_LOSS: bbox_loss_ = mx.symbol.Custom(data=rpn_bbox_pred, bbox_target=bbox_target, bbox_weight=bbox_weight, op_type='rpn_iou_loss', name='bbox_loss_', feature_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS)) else: bbox_loss_ = bbox_weight * mx.symbol.smooth_l1(name='bbox_loss_', scalar=3.0, data=(rpn_bbox_pred - bbox_target)) if config.TRAIN.RPN_OHEM: group = mx.symbol.Custom( cls_prob=cls_prob, bbox_loss=bbox_loss_, label=label, bbox_pred=rpn_bbox_pred, name='rpn_ohem', op_type='sample_anchors', feature_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TRAIN.RPN_OHEM_ANCHORS, rpn_batch_size=config.TRAIN.RPN_BATCH_SIZE, nms_threshold=config.TRAIN.RPN_OHEM_NMS, iou_loss=config.RPN_IOU_LOSS, transform=config.TRAIN.RPN_OHEM_TRANSFORM, ignore=config.TRAIN.RPN_OHEM_IGNORE, np_ratio=config.TRAIN.RPN_OHEM_NP_RATIO) rpn_group = [group[0], group[1], group[2], group[3]] else: bbox_loss = mx.sym.MakeLoss(name='rpn_bbox_loss', data=bbox_loss_, grad_scale=1.0 / config.TRAIN.RPN_BATCH_SIZE) rpn_group = [cls_prob, bbox_loss] # group output group = mx.symbol.Group(rpn_group) return group def get_vgg_rpn_test(num_anchors=config.NUM_ANCHORS): """ Region Proposal Network with VGG :param num_anchors: used to determine output size :return: Symbol """ data = mx.symbol.Variable(name="data") im_info = mx.symbol.Variable(name="im_info") # shared convolutional layers relu5_3 = get_vgg_conv(data) # RPN rpn_conv = mx.symbol.Convolution( data=relu5_3, kernel=(3, 3), pad=(1, 1), num_filter=512, name="rpn_conv_3x3") rpn_relu = mx.symbol.Activation(data=rpn_conv, act_type="relu", name="rpn_relu") rpn_cls_score = mx.symbol.Convolution( data=rpn_relu, kernel=(1, 1), pad=(0, 0), num_filter=2 * num_anchors, name="rpn_cls_score") rpn_bbox_pred = mx.symbol.Convolution( data=rpn_relu, kernel=(1, 1), pad=(0, 0), num_filter=4 * num_anchors, name="rpn_bbox_pred") # ROI Proposal rpn_cls_score_reshape = mx.symbol.Reshape( data=rpn_cls_score, shape=(0, 2, -1, 0), name="rpn_cls_score_reshape") rpn_cls_prob = mx.symbol.SoftmaxActivation( data=rpn_cls_score_reshape, mode="channel", name="rpn_cls_prob") rpn_cls_prob_reshape = mx.symbol.Reshape( data=rpn_cls_prob, shape=(0, 2 * num_anchors, -1, 0), name='rpn_cls_prob_reshape') if config.TEST.CXX_PROPOSAL: group = mx.symbol.Proposal( cls_prob=rpn_cls_prob_reshape, bbox_pred=rpn_bbox_pred, im_info=im_info, name='rois', output_score=True, feature_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TEST.PROPOSAL_PRE_NMS_TOP_N, rpn_post_nms_top_n=config.TEST.PROPOSAL_POST_NMS_TOP_N, threshold=config.TEST.PROPOSAL_NMS_THRESH, rpn_min_size=config.TEST.PROPOSAL_MIN_SIZE, iou_loss=config.RPN_IOU_LOSS) else: group = mx.symbol.Custom( cls_prob=rpn_cls_prob_reshape, bbox_pred=rpn_bbox_pred, im_info=im_info, name='rois', output_score=True, op_type='proposal', feat_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TEST.PROPOSAL_PRE_NMS_TOP_N, rpn_post_nms_top_n=config.TEST.PROPOSAL_POST_NMS_TOP_N, threshold=config.TEST.PROPOSAL_NMS_THRESH, rpn_min_size=config.TEST.PROPOSAL_MIN_SIZE, iou_loss=config.RPN_IOU_LOSS) # rois = group[0] # score = group[1] return group def get_vgg_test(num_classes=config.NUM_CLASSES, num_anchors=config.NUM_ANCHORS): """ Faster R-CNN test with VGG 16 conv layers :param num_classes: used to determine output size :param num_anchors: used to determine output size :return: Symbol """ data = mx.symbol.Variable(name="data") im_info = mx.symbol.Variable(name="im_info") # shared convolutional layers relu5_3 = get_vgg_conv(data) # RPN rpn_conv = mx.symbol.Convolution( data=relu5_3, kernel=(3, 3), pad=(1, 1), num_filter=512, name="rpn_conv_3x3") rpn_relu = mx.symbol.Activation(data=rpn_conv, act_type="relu", name="rpn_relu") rpn_cls_score = mx.symbol.Convolution( data=rpn_relu, kernel=(1, 1), pad=(0, 0), num_filter=2 * num_anchors, name="rpn_cls_score") rpn_bbox_pred = mx.symbol.Convolution( data=rpn_relu, kernel=(1, 1), pad=(0, 0), num_filter=4 * num_anchors, name="rpn_bbox_pred") # ROI Proposal rpn_cls_score_reshape = mx.symbol.Reshape( data=rpn_cls_score, shape=(0, 2, -1, 0), name="rpn_cls_score_reshape") rpn_cls_prob = mx.symbol.SoftmaxActivation( data=rpn_cls_score_reshape, mode="channel", name="rpn_cls_prob") rpn_cls_prob_reshape = mx.symbol.Reshape( data=rpn_cls_prob, shape=(0, 2 * num_anchors, -1, 0), name='rpn_cls_prob_reshape') if config.TEST.CXX_PROPOSAL: rois = mx.symbol.Proposal( cls_prob=rpn_cls_prob_reshape, bbox_pred=rpn_bbox_pred, im_info=im_info, name='rois', feature_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TEST.RPN_PRE_NMS_TOP_N, rpn_post_nms_top_n=config.TEST.RPN_POST_NMS_TOP_N, threshold=config.TEST.RPN_NMS_THRESH, rpn_min_size=config.TEST.RPN_MIN_SIZE, iou_loss=config.RPN_IOU_LOSS) else: rois = mx.symbol.Custom( cls_prob=rpn_cls_prob_reshape, bbox_pred=rpn_bbox_pred, im_info=im_info, name='rois', op_type='proposal', feat_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TEST.RPN_PRE_NMS_TOP_N, rpn_post_nms_top_n=config.TEST.RPN_POST_NMS_TOP_N, threshold=config.TEST.RPN_NMS_THRESH, rpn_min_size=config.TEST.RPN_MIN_SIZE, iou_loss=config.RPN_IOU_LOSS) # Fast R-CNN roi_pool = mx.symbol.ROIPooling( name='roi_pool', data=relu5_3, rois=rois, pooled_size=(7, 7), spatial_scale=1.0 / config.RCNN_FEAT_STRIDE) if config.RCNN_CTX_WINDOW: roi_pool_ctx = mx.symbol.ROIPooling( name='roi_pool_ctx', data=relu5_3, rois=rois, pooled_size=(7, 7), spatial_scale=1.0 / config.RCNN_FEAT_STRIDE, pad=0.25) roi_pool_concat = mx.symbol.Concat(roi_pool, roi_pool_ctx, name='roi_pool_concat') roi_pool_red = mx.symbol.Convolution( data=roi_pool_concat, num_filter=512, kernel=(1, 1), stride=(1, 1), name='roi_pool_ctx_red') roi_pool = mx.symbol.Activation(data=roi_pool_red, act_type='relu', name='roi_pool_relu') # group 6 flatten = mx.symbol.Flatten(data=roi_pool, name="flatten") fc6 = mx.symbol.FullyConnected(data=flatten, num_hidden=4096, name="fc6") relu6 = mx.symbol.Activation(data=fc6, act_type="relu", name="relu6") drop6 = mx.symbol.Dropout(data=relu6, p=0.5, name="drop6") # group 7 fc7 = mx.symbol.FullyConnected(data=drop6, num_hidden=4096, name="fc7") relu7 = mx.symbol.Activation(data=fc7, act_type="relu", name="relu7") drop7 = mx.symbol.Dropout(data=relu7, p=0.5, name="drop7") # classification cls_score = mx.symbol.FullyConnected(name='cls_score', data=drop7, num_hidden=num_classes) cls_prob = mx.symbol.SoftmaxOutput(name='cls_prob', data=cls_score) # bounding box regression bbox_pred = mx.symbol.FullyConnected(name='bbox_pred', data=drop7, num_hidden=num_classes * 4) # reshape output cls_prob = mx.symbol.Reshape(data=cls_prob, shape=(config.TEST.BATCH_IMAGES, -1, num_classes), name='cls_prob_reshape') bbox_pred = mx.symbol.Reshape(data=bbox_pred, shape=(config.TEST.BATCH_IMAGES, -1, 4 * num_classes), name='bbox_pred_reshape') # group output group = mx.symbol.Group([rois, cls_prob, bbox_pred]) return group def get_vgg_train(num_classes=config.NUM_CLASSES, num_anchors=config.NUM_ANCHORS): """ Faster R-CNN end-to-end with VGG 16 conv layers :param num_classes: used to determine output size :param num_anchors: used to determine output size :return: Symbol """ data = mx.symbol.Variable(name="data") im_info = mx.symbol.Variable(name="im_info") gt_boxes = mx.symbol.Variable(name="gt_boxes") rpn_label = mx.symbol.Variable(name='label') rpn_bbox_target = mx.symbol.Variable(name='bbox_target') rpn_bbox_weight = mx.symbol.Variable(name='bbox_weight') # shared convolutional layers relu5_3 = get_vgg_conv(data) # RPN layers rpn_conv = mx.symbol.Convolution( data=relu5_3, kernel=(3, 3), pad=(1, 1), num_filter=512, name="rpn_conv_3x3") rpn_relu = mx.symbol.Activation(data=rpn_conv, act_type="relu", name="rpn_relu") rpn_cls_score = mx.symbol.Convolution( data=rpn_relu, kernel=(1, 1), pad=(0, 0), num_filter=2 * num_anchors, name="rpn_cls_score") rpn_bbox_pred = mx.symbol.Convolution( data=rpn_relu, kernel=(1, 1), pad=(0, 0), num_filter=4 * num_anchors, name="rpn_bbox_pred") # prepare rpn data rpn_cls_score_reshape = mx.symbol.Reshape( data=rpn_cls_score, shape=(0, 2, -1, 0), name="rpn_cls_score_reshape") # classification rpn_cls_prob = mx.symbol.SoftmaxOutput(data=rpn_cls_score_reshape, label=rpn_label, multi_output=True, normalization='valid', use_ignore=True, ignore_label=-1, is_hidden_layer=config.TRAIN.RPN_OHEM, name="rpn_cls_prob") # bounding box regression if config.RPN_IOU_LOSS: rpn_bbox_loss_ = mx.symbol.Custom(data=rpn_bbox_pred, bbox_target=rpn_bbox_target, bbox_weight=rpn_bbox_weight, op_type='rpn_iou_loss', name='rpn_bbox_loss_', feature_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS)) else: rpn_bbox_loss_ = rpn_bbox_weight * mx.symbol.smooth_l1(name='rpn_bbox_loss_', scalar=3.0, data=(rpn_bbox_pred - rpn_bbox_target)) # rpn output if config.TRAIN.RPN_OHEM: group = mx.symbol.Custom( cls_prob=rpn_cls_prob, bbox_loss=rpn_bbox_loss_, label=rpn_label, bbox_pred=rpn_bbox_pred, name='rpn_ohem', op_type='sample_anchors', feature_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TRAIN.RPN_OHEM_ANCHORS, rpn_batch_size=config.TRAIN.RPN_BATCH_SIZE, nms_threshold=config.TRAIN.RPN_OHEM_NMS, iou_loss=config.RPN_IOU_LOSS, transform=config.TRAIN.RPN_OHEM_TRANSFORM, ignore=config.TRAIN.RPN_OHEM_IGNORE, np_ratio=config.TRAIN.RPN_OHEM_NP_RATIO) rpn_group = [group[0], group[1], group[2], group[3]] else: rpn_bbox_loss = mx.sym.MakeLoss(name='rpn_bbox_loss', data=rpn_bbox_loss_, grad_scale=1.0 / config.TRAIN.RPN_BATCH_SIZE) rpn_group = [rpn_cls_prob, rpn_bbox_loss] # ROI proposal rpn_cls_act = mx.symbol.SoftmaxActivation( data=rpn_cls_score_reshape, mode="channel", name="rpn_cls_act") rpn_cls_act_reshape = mx.symbol.Reshape( data=rpn_cls_act, shape=(0, 2 * num_anchors, -1, 0), name='rpn_cls_act_reshape') if config.TRAIN.CXX_PROPOSAL: rois = mx.symbol.Proposal( cls_prob=rpn_cls_act_reshape, bbox_pred=rpn_bbox_pred, im_info=im_info, name='rois', feature_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TRAIN.RPN_PRE_NMS_TOP_N, rpn_post_nms_top_n=config.TRAIN.RPN_POST_NMS_TOP_N, threshold=config.TRAIN.RPN_NMS_THRESH, rpn_min_size=config.TRAIN.RPN_MIN_SIZE, iou_loss=config.RPN_IOU_LOSS) else: rois = mx.symbol.Custom( cls_prob=rpn_cls_act_reshape, bbox_pred=rpn_bbox_pred, im_info=im_info, name='rois', op_type='proposal', feat_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TRAIN.RPN_PRE_NMS_TOP_N, rpn_post_nms_top_n=config.TRAIN.RPN_POST_NMS_TOP_N, threshold=config.TRAIN.RPN_NMS_THRESH, rpn_min_size=config.TRAIN.RPN_MIN_SIZE, iou_loss=config.RPN_IOU_LOSS) # ROI proposal target gt_boxes_reshape = mx.symbol.Reshape(data=gt_boxes, shape=(-1, 5), name='gt_boxes_reshape') if config.TRAIN.RCNN_OHEM: group = mx.symbol.Custom(rois=rois, gt_boxes=gt_boxes_reshape, op_type='proposal_target', num_classes=num_classes, batch_images=config.TRAIN.BATCH_IMAGES, batch_rois=config.TRAIN.RCNN_OHEM_ROIS, ohem=config.TRAIN.RCNN_OHEM) else: group = mx.symbol.Custom(rois=rois, gt_boxes=gt_boxes_reshape, op_type='proposal_target', num_classes=num_classes, batch_images=config.TRAIN.BATCH_IMAGES, batch_rois=config.TRAIN.BATCH_ROIS, fg_fraction=config.TRAIN.FG_FRACTION) rois = group[0] label = group[1] bbox_target = group[2] bbox_weight = group[3] # Fast R-CNN roi_pool = mx.symbol.ROIPooling( name='roi_pool', data=relu5_3, rois=rois, pooled_size=(7, 7), spatial_scale=1.0 / config.RCNN_FEAT_STRIDE) if config.RCNN_CTX_WINDOW: roi_pool_ctx = mx.symbol.ROIPooling( name='roi_pool_ctx', data=relu5_3, rois=rois, pooled_size=(7, 7), spatial_scale=1.0 / config.RCNN_FEAT_STRIDE, pad=0.25) roi_pool_concat = mx.symbol.Concat(roi_pool, roi_pool_ctx, name='roi_pool_concat') roi_pool_red = mx.symbol.Convolution( data=roi_pool_concat, num_filter=512, kernel=(1, 1), stride=(1, 1), name='roi_pool_ctx_red') roi_pool = mx.symbol.Activation(data=roi_pool_red, act_type='relu', name='roi_pool_relu') # group 6 flatten = mx.symbol.Flatten(data=roi_pool, name="flatten") fc6 = mx.symbol.FullyConnected(data=flatten, num_hidden=4096, name="fc6") relu6 = mx.symbol.Activation(data=fc6, act_type="relu", name="relu6") drop6 = mx.symbol.Dropout(data=relu6, p=0.5, name="drop6") # group 7 fc7 = mx.symbol.FullyConnected(data=drop6, num_hidden=4096, name="fc7") relu7 = mx.symbol.Activation(data=fc7, act_type="relu", name="relu7") drop7 = mx.symbol.Dropout(data=relu7, p=0.5, name="drop7") # classification cls_score = mx.symbol.FullyConnected(name='cls_score', data=drop7, num_hidden=num_classes) cls_prob = mx.symbol.SoftmaxOutput(name='cls_prob', data=cls_score, label=label, normalization='batch', is_hidden_layer=config.TRAIN.RCNN_OHEM) # bounding box regression bbox_pred = mx.symbol.FullyConnected(name='bbox_pred', data=drop7, num_hidden=num_classes * 4) if config.RCNN_IOU_LOSS: bbox_loss_ = mx.symbol.Custom(data=bbox_pred, bbox_target=bbox_target, bbox_weight=bbox_weight, rois=rois, op_type='rcnn_iou_loss', name='bbox_loss_', num_classes=num_classes) else: bbox_loss_ = bbox_weight * mx.symbol.smooth_l1(name='bbox_loss_', scalar=1.0, data=(bbox_pred - bbox_target)) if config.TRAIN.RCNN_OHEM: group = mx.symbol.Custom( cls_prob=cls_prob, bbox_loss=bbox_loss_, label=label, rois=rois, bbox_pred=bbox_pred, name='rcnn_ohem', op_type='sample_rois', batch_images=config.TRAIN.BATCH_IMAGES, batch_size=config.TRAIN.BATCH_ROIS, nms_threshold=config.TRAIN.RCNN_OHEM_NMS, iou_loss=config.RPN_IOU_LOSS, transform=config.TRAIN.RCNN_OHEM_TRANSFORM, ignore=config.TRAIN.RCNN_OHEM_IGNORE) rcnn_group = [group[0], group[1], group[2], group[3]] for ind, name, last_shape in zip(range(len(rcnn_group)), ['cls_prob', 'bbox_loss', 'cls_mask', 'bbox_mask'], [num_classes, num_classes * 4, num_classes, num_classes * 4]): rcnn_group[ind] = mx.symbol.Reshape(data=rcnn_group[ind], shape=(config.TRAIN.BATCH_IMAGES, -1, last_shape), name=name + '_reshape') else: bbox_loss = mx.sym.MakeLoss(name='bbox_loss', data=bbox_loss_, grad_scale=1.0 / config.TRAIN.BATCH_ROIS) rcnn_group = [cls_prob, bbox_loss] for ind, name, last_shape in zip(range(len(rcnn_group)), ['cls_prob', 'bbox_loss'], [num_classes, num_classes * 4]): rcnn_group[ind] = mx.symbol.Reshape(data=rcnn_group[ind], shape=(config.TRAIN.BATCH_IMAGES, -1, last_shape), name=name + '_reshape') # append label label = mx.symbol.Reshape(data=label, shape=(config.TRAIN.BATCH_IMAGES, -1), name='label_reshape') rcnn_group += [mx.symbol.BlockGrad(label, name='label_blockgrad')] group = mx.symbol.Group(rpn_group + rcnn_group) return group def get_vgg_acc_test(num_classes=config.NUM_CLASSES, num_anchors=config.NUM_ANCHORS): """ Faster R-CNN test with VGG 16 conv layers :param num_classes: used to determine output size :param num_anchors: used to determine output size :return: Symbol """ data = mx.symbol.Variable(name="data") im_info = mx.symbol.Variable(name="im_info") # group 1 conv1_1 = mx.symbol.Convolution( data=data, kernel=(3, 3), pad=(1, 1), num_filter=32, workspace=2048, name="conv1_1") relu1_1 = mx.symbol.Activation(data=conv1_1, act_type="relu", name="relu1_1") conv1_2 = mx.symbol.Convolution( data=relu1_1, kernel=(3, 3), pad=(1, 1), num_filter=32, workspace=2048, name="conv1_2") relu1_2 = mx.symbol.Activation(data=conv1_2, act_type="relu", name="relu1_2") pool1 = mx.symbol.Pooling( data=relu1_2, pool_type="max", kernel=(2, 2), stride=(2, 2), name="pool1") # group 2 conv2_1 = mx.symbol.Convolution( data=pool1, kernel=(3, 3), pad=(1, 1), num_filter=64, workspace=2048, name="conv2_1") relu2_1 = mx.symbol.Activation(data=conv2_1, act_type="relu", name="relu2_1") conv2_2 = mx.symbol.Convolution( data=relu2_1, kernel=(3, 3), pad=(1, 1), num_filter=64, workspace=2048, name="conv2_2") relu2_2 = mx.symbol.Activation(data=conv2_2, act_type="relu", name="relu2_2") pool2 = mx.symbol.Pooling( data=relu2_2, pool_type="max", kernel=(2, 2), stride=(2, 2), name="pool2") # group 3 conv3_1 = mx.symbol.Convolution( data=pool2, kernel=(3, 3), pad=(1, 1), num_filter=64, workspace=2048, name="conv3_1") relu3_1 = mx.symbol.Activation(data=conv3_1, act_type="relu", name="relu3_1") conv3_2 = mx.symbol.Convolution( data=relu3_1, kernel=(3, 3), pad=(1, 1), num_filter=64, workspace=2048, name="conv3_2") relu3_2 = mx.symbol.Activation(data=conv3_2, act_type="relu", name="relu3_2") conv3_3 = mx.symbol.Convolution( data=relu3_2, kernel=(3, 3), pad=(1, 1), num_filter=128, workspace=2048, name="conv3_3") relu3_3 = mx.symbol.Activation(data=conv3_3, act_type="relu", name="relu3_3") pool3 = mx.symbol.Pooling( data=relu3_3, pool_type="max", kernel=(2, 2), stride=(2, 2), name="pool3") # group 4 conv4_1 = mx.symbol.Convolution( data=pool3, kernel=(3, 3), pad=(1, 1), num_filter=128, workspace=2048, name="conv4_1") relu4_1 = mx.symbol.Activation(data=conv4_1, act_type="relu", name="relu4_1") conv4_2 = mx.symbol.Convolution( data=relu4_1, kernel=(3, 3), pad=(1, 1), num_filter=128, workspace=2048, name="conv4_2") relu4_2 = mx.symbol.Activation(data=conv4_2, act_type="relu", name="relu4_2") conv4_3 = mx.symbol.Convolution( data=relu4_2, kernel=(3, 3), pad=(1, 1), num_filter=128, workspace=2048, name="conv4_3") relu4_3 = mx.symbol.Activation(data=conv4_3, act_type="relu", name="relu4_3") pool4 = mx.symbol.Pooling( data=relu4_3, pool_type="max", kernel=(2, 2), stride=(2, 2), name="pool4") # group 5 conv5_1 = mx.symbol.Convolution( data=pool4, kernel=(3, 3), pad=(1, 1), num_filter=128, workspace=2048, name="conv5_1") relu5_1 = mx.symbol.Activation(data=conv5_1, act_type="relu", name="relu5_1") conv5_2 = mx.symbol.Convolution( data=relu5_1, kernel=(3, 3), pad=(1, 1), num_filter=128, workspace=2048, name="conv5_2") relu5_2 = mx.symbol.Activation(data=conv5_2, act_type="relu", name="relu5_2") conv5_3 = mx.symbol.Convolution( data=relu5_2, kernel=(3, 3), pad=(1, 1), num_filter=128, workspace=2048, name="conv5_3") relu5_3 = mx.symbol.Activation(data=conv5_3, act_type="relu", name="relu5_3") # shared convolutional layers conv_feat = relu5_3 # RPN rpn_conv = mx.symbol.Convolution( data=conv_feat, kernel=(3, 3), pad=(1, 1), num_filter=512, name="rpn_conv_3x3") rpn_relu = mx.symbol.Activation(data=rpn_conv, act_type="relu", name="rpn_relu") rpn_cls_score = mx.symbol.Convolution( data=rpn_relu, kernel=(1, 1), pad=(0, 0), num_filter=2 * num_anchors, name="rpn_cls_score") rpn_bbox_pred = mx.symbol.Convolution( data=rpn_relu, kernel=(1, 1), pad=(0, 0), num_filter=4 * num_anchors, name="rpn_bbox_pred") # ROI Proposal rpn_cls_score_reshape = mx.symbol.Reshape( data=rpn_cls_score, shape=(0, 2, -1, 0), name="rpn_cls_score_reshape") rpn_cls_prob = mx.symbol.SoftmaxActivation( data=rpn_cls_score_reshape, mode="channel", name="rpn_cls_prob") rpn_cls_prob_reshape = mx.symbol.Reshape( data=rpn_cls_prob, shape=(0, 2 * num_anchors, -1, 0), name='rpn_cls_prob_reshape') if config.TEST.CXX_PROPOSAL: rois = mx.symbol.Proposal( cls_prob=rpn_cls_prob_reshape, bbox_pred=rpn_bbox_pred, im_info=im_info, name='rois', feature_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TEST.RPN_PRE_NMS_TOP_N, rpn_post_nms_top_n=config.TEST.RPN_POST_NMS_TOP_N, threshold=config.TEST.RPN_NMS_THRESH, rpn_min_size=config.TEST.RPN_MIN_SIZE, iou_loss=config.RPN_IOU_LOSS) else: rois = mx.symbol.Custom( cls_prob=rpn_cls_prob_reshape, bbox_pred=rpn_bbox_pred, im_info=im_info, name='rois', op_type='proposal', feat_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TEST.RPN_PRE_NMS_TOP_N, rpn_post_nms_top_n=config.TEST.RPN_POST_NMS_TOP_N, threshold=config.TEST.RPN_NMS_THRESH, rpn_min_size=config.TEST.RPN_MIN_SIZE, iou_loss=config.RPN_IOU_LOSS) # Fast R-CNN roi_pool = mx.symbol.ROIPooling( name='roi_pool', data=conv_feat, rois=rois, pooled_size=(7, 7), spatial_scale=1.0 / config.RCNN_FEAT_STRIDE) if config.RCNN_CTX_WINDOW: roi_pool_ctx = mx.symbol.ROIPooling( name='roi_pool_ctx', data=conv_feat, rois=rois, pooled_size=(7, 7), spatial_scale=1.0 / config.RCNN_FEAT_STRIDE, pad=0.25) roi_pool_concat = mx.symbol.Concat(roi_pool, roi_pool_ctx, name='roi_pool_concat') roi_pool_red = mx.symbol.Convolution( data=roi_pool_concat, num_filter=512, kernel=(1, 1), stride=(1, 1), name='roi_pool_ctx_red') roi_pool = mx.symbol.Activation(data=roi_pool_red, act_type='relu', name='roi_pool_relu') # group 6 flatten = mx.symbol.Flatten(data=roi_pool, name="flatten") fc6 = mx.symbol.FullyConnected(data=flatten, num_hidden=512, name="fc6") relu6 = mx.symbol.Activation(data=fc6, act_type="relu", name="relu6") drop6 = mx.symbol.Dropout(data=relu6, p=0.5, name="drop6") # group 7 fc7 = mx.symbol.FullyConnected(data=drop6, num_hidden=512, name="fc7") relu7 = mx.symbol.Activation(data=fc7, act_type="relu", name="relu7") drop7 = mx.symbol.Dropout(data=relu7, p=0.5, name="drop7") # classification cls_score = mx.symbol.FullyConnected(name='cls_score', data=drop7, num_hidden=num_classes) cls_prob = mx.symbol.SoftmaxOutput(name='cls_prob', data=cls_score) # bounding box regression bbox_pred = mx.symbol.FullyConnected(name='bbox_pred', data=drop7, num_hidden=num_classes * 4) # reshape output cls_prob = mx.symbol.Reshape(data=cls_prob, shape=(config.TEST.BATCH_IMAGES, -1, num_classes), name='cls_prob_reshape') bbox_pred = mx.symbol.Reshape(data=bbox_pred, shape=(config.TEST.BATCH_IMAGES, -1, 4 * num_classes), name='bbox_pred_reshape') # group output group = mx.symbol.Group([rois, cls_prob, bbox_pred]) return group def get_vgg_dilate_conv(data): """ vgg-16 shared convolutional layers,use dilated convolution in group 5 :param data: Symbol :return: Symbol """ # ====group 1 conv1_1 = mx.symbol.Convolution(data=data, kernel=(3,3), pad=(1,1), \ num_filter=64, name='conv1_1') relu1_1 = mx.symbol.Activation(data=conv1_1, act_type='relu', \ name='relu1_1') conv1_2 = mx.symbol.Convolution(data=relu1_1,kernel=(3,3), pad=(1,1), \ num_filter=64, name='conv1_2') relu1_2 = mx.symbol.Activation(data=conv1_2, act_type='relu', \ name='relu1_2') pool1 = mx.symbol.Pooling(data=relu1_2, pool_type="max", kernel=(2,2), \ stride=(2,2), name="pool1") # ======group 2 conv2_1 = mx.symbol.Convolution(data=pool1, kernel=(3,3), pad=(1,1), \ num_filter=128, name='conv2_1') relu2_1 = mx.symbol.Activation(data=conv2_1, act_type="relu", \ name="relu2_1") conv2_2 = mx.symbol.Convolution(data=relu2_1, kernel=(3,3), pad=(1,1), \ num_filter=128, name="conv2_2") relu2_2 = mx.symbol.Activation(data=conv2_2, act_type="relu", \ name="relu2_2") pool2 = mx.symbol.Pooling(data=relu2_2, pool_type="max",kernel=(2,2), \ stride=(2,2), name="pool2") # ======group 3 conv3_1 = mx.symbol.Convolution(data=pool2, kernel=(3,3), pad=(1,1), \ num_filter=256, name="conv3_1") relu3_1 = mx.symbol.Activation(data=conv3_1, act_type='relu', \ name='relu3_1') conv3_2 = mx.symbol.Convolution(data=relu3_1, kernel=(3,3), pad=(1,1), \ num_filter=256, name='conv3_2') relu3_2 = mx.symbol.Activation(data=conv3_2, act_type='relu', \ name='relu3_2') conv3_3 = mx.symbol.Convolution(data=relu3_2, kernel=(3,3), pad=(1,1), \ num_filter=256, name="conv3_3") relu3_3 = mx.symbol.Activation(data=conv3_3, act_type='relu', \ name='relu3_3') pool3 = mx.symbol.Pooling(data=relu3_3, pool_type='max', kernel=(2,2), \ stride=(2,2), name="pool3") # ======group 4 conv4_1 = mx.symbol.Convolution(data=pool3, kernel=(3,3), pad=(1, 1), \ num_filter=512, name='conv4_1') relu4_1 = mx.symbol.Activation(data=conv4_1, act_type='relu', \ name='relu4_1') conv4_2 = mx.symbol.Convolution(data=relu4_1,kernel=(3,3), pad=(1,1), \ num_filter=512, name='conv4_2') relu4_2 = mx.symbol.Activation(data=conv4_1,act_type='relu',\ name='relu4_2') conv4_3 = mx.symbol.Convolution(data=relu4_2,kernel=(3,3), pad=(1,1), \ num_filter=512, name='conv4_3') relu4_3 = mx.symbol.Activation(data=conv4_3, act_type='relu', \ name='relu4_3') pool4 = mx.symbol.Pooling(data=relu4_3,pool_type='max', kernel=(2,2), \ stride=(2,2), name='pool4') # ======group5 # ======use dilation conv conv5_1 = mx.symbol.Convolution(data=pool4, kernel=(3,3), pad=(2,2), \ dilate=(2,2), num_filter=512, \ name='conv5_1') relu5_1 = mx.symbol.Activation(data=conv5_1, act_type='relu', \ name='relu5_1') conv5_2 = mx.symbol.Convolution(data=relu5_1, kernel=(3,3), pad=(2,2), \ dilate=(2,2), num_filter=512, \ name='conv5_2') relu5_2 = mx.symbol.Activation(data=conv5_2, act_type='relu', \ name='relu5_2') conv5_3 = mx.symbol.Convolution(data=relu5_2, kernel=(3,3), pad=(2,2), \ dilate=(2,2), num_filter=512, \ name='conv5_3') relu5_3 = mx.symbol.Activation(data=conv5_3, act_type='relu', \ name='relu5_3') return relu5_3 def get_vgg_train_dff(num_classes=config.NUM_CLASSES, num_anchors=config.NUM_ANCHORS): """ Faster R-CNN end-to-end with VGG 16 conv layers Edited for deep feature flow, use flownet warp feature :param num_classes: used to determine output size :param num_anchors: used to determine output size :return: Symbol """ data = mx.symbol.Variable(name="data") data2 = mx.symbol.Variable(name="data2") im_info = mx.symbol.Variable(name="im_info") gt_boxes = mx.symbol.Variable(name="gt_boxes") rpn_label = mx.symbol.Variable(name='label') rpn_bbox_target = mx.symbol.Variable(name='bbox_target') rpn_bbox_weight = mx.symbol.Variable(name='bbox_weight') # shared convolutional layers # relu5_3 = get_vgg_conv(data) relu5_3 = get_vgg_dilate_conv(data2) relu5_3, _, _ = feature_propagate(relu5_3, data, data2) # flownet = stereo_scale_net(data*config.FLOW_SCALE_FACTOR, \ # data2*config.FLOW_SCALE_FACTOR,\ # net_type='flow') # flow = flownet[0] # scale = flownet[1] # scale_avg = mx.sym.Pooling(data=scale*0.125, pool_type='avg',\ # kernel=(8,8),stride=(8,8),name="scale_avg") # flow_avg = mx.sym.Pooling(data=flow*0.125, pool_type='avg',\ # kernel=(8,8),stride=(8,8),name="flow_avg") # # flow_grid = mx.symbol.GridGenerator(data=flow_avg,transform_type='warp',\ # name='flow_grid') # warp_res = mx.symbol.BilinearSampler(data=relu5_3,grid=flow_grid,\ # name='warp_res') # # relu5_3 = warp_res * scale_avg # RPN layers rpn_conv = mx.symbol.Convolution( data=relu5_3, kernel=(3, 3), pad=(1, 1), num_filter=512, name="rpn_conv_3x3") rpn_relu = mx.symbol.Activation(data=rpn_conv, act_type="relu", name="rpn_relu") rpn_cls_score = mx.symbol.Convolution( data=rpn_relu, kernel=(1, 1), pad=(0, 0), num_filter=2 * num_anchors, name="rpn_cls_score") rpn_bbox_pred = mx.symbol.Convolution( data=rpn_relu, kernel=(1, 1), pad=(0, 0), num_filter=4 * num_anchors, name="rpn_bbox_pred") # prepare rpn data rpn_cls_score_reshape = mx.symbol.Reshape( data=rpn_cls_score, shape=(0, 2, -1, 0), name="rpn_cls_score_reshape") # classification rpn_cls_prob = mx.symbol.SoftmaxOutput(data=rpn_cls_score_reshape, label=rpn_label, multi_output=True, normalization='valid', use_ignore=True, ignore_label=-1, is_hidden_layer=config.TRAIN.RPN_OHEM, name="rpn_cls_prob") # bounding box regression if config.RPN_IOU_LOSS: rpn_bbox_loss_ = mx.symbol.Custom(data=rpn_bbox_pred, bbox_target=rpn_bbox_target, bbox_weight=rpn_bbox_weight, op_type='rpn_iou_loss', name='rpn_bbox_loss_', feature_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS)) else: rpn_bbox_loss_ = rpn_bbox_weight * mx.symbol.smooth_l1(name='rpn_bbox_loss_', scalar=3.0, data=(rpn_bbox_pred - rpn_bbox_target)) # rpn output if config.TRAIN.RPN_OHEM: group = mx.symbol.Custom( cls_prob=rpn_cls_prob, bbox_loss=rpn_bbox_loss_, label=rpn_label, bbox_pred=rpn_bbox_pred, name='rpn_ohem', op_type='sample_anchors', feature_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TRAIN.RPN_OHEM_ANCHORS, rpn_batch_size=config.TRAIN.RPN_BATCH_SIZE, nms_threshold=config.TRAIN.RPN_OHEM_NMS, iou_loss=config.RPN_IOU_LOSS, transform=config.TRAIN.RPN_OHEM_TRANSFORM, ignore=config.TRAIN.RPN_OHEM_IGNORE, np_ratio=config.TRAIN.RPN_OHEM_NP_RATIO) rpn_group = [group[0], group[1], group[2], group[3]] else: rpn_bbox_loss = mx.sym.MakeLoss(name='rpn_bbox_loss', data=rpn_bbox_loss_, grad_scale=1.0 / config.TRAIN.RPN_BATCH_SIZE) rpn_group = [rpn_cls_prob, rpn_bbox_loss] # ROI proposal rpn_cls_act = mx.symbol.SoftmaxActivation( data=rpn_cls_score_reshape, mode="channel", name="rpn_cls_act") rpn_cls_act_reshape = mx.symbol.Reshape( data=rpn_cls_act, shape=(0, 2 * num_anchors, -1, 0), name='rpn_cls_act_reshape') if config.TRAIN.CXX_PROPOSAL: rois = mx.symbol.Proposal( cls_prob=rpn_cls_act_reshape, bbox_pred=rpn_bbox_pred, im_info=im_info, name='rois', feature_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TRAIN.RPN_PRE_NMS_TOP_N, rpn_post_nms_top_n=config.TRAIN.RPN_POST_NMS_TOP_N, threshold=config.TRAIN.RPN_NMS_THRESH, rpn_min_size=config.TRAIN.RPN_MIN_SIZE, iou_loss=config.RPN_IOU_LOSS) else: rois = mx.symbol.Custom( cls_prob=rpn_cls_act_reshape, bbox_pred=rpn_bbox_pred, im_info=im_info, name='rois', op_type='proposal', feat_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TRAIN.RPN_PRE_NMS_TOP_N, rpn_post_nms_top_n=config.TRAIN.RPN_POST_NMS_TOP_N, threshold=config.TRAIN.RPN_NMS_THRESH, rpn_min_size=config.TRAIN.RPN_MIN_SIZE, iou_loss=config.RPN_IOU_LOSS) # ROI proposal target gt_boxes_reshape = mx.symbol.Reshape(data=gt_boxes, shape=(-1, 5), name='gt_boxes_reshape') if config.TRAIN.RCNN_OHEM: group = mx.symbol.Custom(rois=rois, gt_boxes=gt_boxes_reshape, op_type='proposal_target', num_classes=num_classes, batch_images=config.TRAIN.BATCH_IMAGES, batch_rois=config.TRAIN.RCNN_OHEM_ROIS, ohem=config.TRAIN.RCNN_OHEM) else: group = mx.symbol.Custom(rois=rois, gt_boxes=gt_boxes_reshape, op_type='proposal_target', num_classes=num_classes, batch_images=config.TRAIN.BATCH_IMAGES, batch_rois=config.TRAIN.BATCH_ROIS, fg_fraction=config.TRAIN.FG_FRACTION) rois = group[0] label = group[1] bbox_target = group[2] bbox_weight = group[3] # Fast R-CNN roi_pool = mx.symbol.ROIPooling( name='roi_pool', data=relu5_3, rois=rois, pooled_size=(7, 7), spatial_scale=1.0 / config.RCNN_FEAT_STRIDE) if config.RCNN_CTX_WINDOW: roi_pool_ctx = mx.symbol.ROIPooling( name='roi_pool_ctx', data=relu5_3, rois=rois, pooled_size=(7, 7), spatial_scale=1.0 / config.RCNN_FEAT_STRIDE, pad=0.25) roi_pool_concat = mx.symbol.Concat(roi_pool, roi_pool_ctx, name='roi_pool_concat') roi_pool_red = mx.symbol.Convolution( data=roi_pool_concat, num_filter=512, kernel=(1, 1), stride=(1, 1), name='roi_pool_ctx_red') roi_pool = mx.symbol.Activation(data=roi_pool_red, act_type='relu', name='roi_pool_relu') # group 6 flatten = mx.symbol.Flatten(data=roi_pool, name="flatten") fc6 = mx.symbol.FullyConnected(data=flatten, num_hidden=4096, name="fc6") relu6 = mx.symbol.Activation(data=fc6, act_type="relu", name="relu6") drop6 = mx.symbol.Dropout(data=relu6, p=0.5, name="drop6") # group 7 fc7 = mx.symbol.FullyConnected(data=drop6, num_hidden=4096, name="fc7") relu7 = mx.symbol.Activation(data=fc7, act_type="relu", name="relu7") drop7 = mx.symbol.Dropout(data=relu7, p=0.5, name="drop7") # classification cls_score = mx.symbol.FullyConnected(name='cls_score', data=drop7, num_hidden=num_classes) cls_prob = mx.symbol.SoftmaxOutput(name='cls_prob', data=cls_score, label=label, normalization='batch', is_hidden_layer=config.TRAIN.RCNN_OHEM) # bounding box regression bbox_pred = mx.symbol.FullyConnected(name='bbox_pred', data=drop7, num_hidden=num_classes * 4) if config.RCNN_IOU_LOSS: bbox_loss_ = mx.symbol.Custom(data=bbox_pred, bbox_target=bbox_target, bbox_weight=bbox_weight, rois=rois, op_type='rcnn_iou_loss', name='bbox_loss_', num_classes=num_classes) else: bbox_loss_ = bbox_weight * mx.symbol.smooth_l1(name='bbox_loss_', scalar=1.0, data=(bbox_pred - bbox_target)) if config.TRAIN.RCNN_OHEM: group = mx.symbol.Custom( cls_prob=cls_prob, bbox_loss=bbox_loss_, label=label, rois=rois, bbox_pred=bbox_pred, name='rcnn_ohem', op_type='sample_rois', batch_images=config.TRAIN.BATCH_IMAGES, batch_size=config.TRAIN.BATCH_ROIS, nms_threshold=config.TRAIN.RCNN_OHEM_NMS, iou_loss=config.RPN_IOU_LOSS, transform=config.TRAIN.RCNN_OHEM_TRANSFORM, ignore=config.TRAIN.RCNN_OHEM_IGNORE) rcnn_group = [group[0], group[1], group[2], group[3]] for ind, name, last_shape in zip(range(len(rcnn_group)), ['cls_prob', 'bbox_loss', 'cls_mask', 'bbox_mask'], [num_classes, num_classes * 4, num_classes, num_classes * 4]): rcnn_group[ind] = mx.symbol.Reshape(data=rcnn_group[ind], shape=(config.TRAIN.BATCH_IMAGES, -1, last_shape), name=name + '_reshape') else: bbox_loss = mx.sym.MakeLoss(name='bbox_loss', data=bbox_loss_, grad_scale=1.0 / config.TRAIN.BATCH_ROIS) rcnn_group = [cls_prob, bbox_loss] for ind, name, last_shape in zip(range(len(rcnn_group)), ['cls_prob', 'bbox_loss'], [num_classes, num_classes * 4]): rcnn_group[ind] = mx.symbol.Reshape(data=rcnn_group[ind], shape=(config.TRAIN.BATCH_IMAGES, -1, last_shape), name=name + '_reshape') # append label label = mx.symbol.Reshape(data=label, shape=(config.TRAIN.BATCH_IMAGES, -1), name='label_reshape') rcnn_group += [mx.symbol.BlockGrad(label, name='label_blockgrad')] group = mx.symbol.Group(rpn_group + rcnn_group) return group def get_vgg_test_dff(num_classes=config.NUM_CLASSES, num_anchors=config.NUM_ANCHORS): """ Faster R-CNN test with VGG 16 conv layers :param num_classes: used to determine output size :param num_anchors: used to determine output size :return: Symbol """ data = mx.symbol.Variable(name="data") data2 = mx.symbol.Variable(name="data2") im_info = mx.symbol.Variable(name="im_info") # shared convolutional layers # relu5_3 = get_vgg_conv(data) relu5_3 = get_vgg_dilate_conv(data2) relu5_3, flow, flow_avg = feature_propagate(relu5_3, data, data2) # flownet = stereo_scale_net(data*config.FLOW_SCALE_FACTOR, \ # data2*config.FLOW_SCALE_FACTOR,\ # net_type='flow') # flow = flownet[0] # scale = flownet[1] # scale_avg = mx.sym.Pooling(data=scale*0.125, pool_type='avg',\ # kernel=(8,8),stride=(8,8),name="scale_avg") # flow_avg = mx.sym.Pooling(data=flow*0.125, pool_type='avg',\ # kernel=(8,8),stride=(8,8),name="flow_avg") # # flow_grid = mx.symbol.GridGenerator(data=flow_avg,transform_type='warp',\ # name='flow_grid') # warp_res = mx.symbol.BilinearSampler(data=relu5_3,grid=flow_grid,\ # name='warp_res') # # relu5_3 = warp_res * scale_avg # RPN rpn_conv = mx.symbol.Convolution( data=relu5_3, kernel=(3, 3), pad=(1, 1), num_filter=512, name="rpn_conv_3x3") rpn_relu = mx.symbol.Activation(data=rpn_conv, act_type="relu", name="rpn_relu") rpn_cls_score = mx.symbol.Convolution( data=rpn_relu, kernel=(1, 1), pad=(0, 0), num_filter=2 * num_anchors, name="rpn_cls_score") rpn_bbox_pred = mx.symbol.Convolution( data=rpn_relu, kernel=(1, 1), pad=(0, 0), num_filter=4 * num_anchors, name="rpn_bbox_pred") # ROI Proposal rpn_cls_score_reshape = mx.symbol.Reshape( data=rpn_cls_score, shape=(0, 2, -1, 0), name="rpn_cls_score_reshape") rpn_cls_prob = mx.symbol.SoftmaxActivation( data=rpn_cls_score_reshape, mode="channel", name="rpn_cls_prob") rpn_cls_prob_reshape = mx.symbol.Reshape( data=rpn_cls_prob, shape=(0, 2 * num_anchors, -1, 0), name='rpn_cls_prob_reshape') if config.TEST.CXX_PROPOSAL: rois = mx.symbol.Proposal( cls_prob=rpn_cls_prob_reshape, bbox_pred=rpn_bbox_pred, im_info=im_info, name='rois', feature_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TEST.RPN_PRE_NMS_TOP_N, rpn_post_nms_top_n=config.TEST.RPN_POST_NMS_TOP_N, threshold=config.TEST.RPN_NMS_THRESH, rpn_min_size=config.TEST.RPN_MIN_SIZE, iou_loss=config.RPN_IOU_LOSS) else: rois = mx.symbol.Custom( cls_prob=rpn_cls_prob_reshape, bbox_pred=rpn_bbox_pred, im_info=im_info, name='rois', op_type='proposal', feat_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TEST.RPN_PRE_NMS_TOP_N, rpn_post_nms_top_n=config.TEST.RPN_POST_NMS_TOP_N, threshold=config.TEST.RPN_NMS_THRESH, rpn_min_size=config.TEST.RPN_MIN_SIZE, iou_loss=config.RPN_IOU_LOSS) # Fast R-CNN roi_pool = mx.symbol.ROIPooling( name='roi_pool', data=relu5_3, rois=rois, pooled_size=(7, 7), spatial_scale=1.0 / config.RCNN_FEAT_STRIDE) if config.RCNN_CTX_WINDOW: roi_pool_ctx = mx.symbol.ROIPooling( name='roi_pool_ctx', data=relu5_3, rois=rois, pooled_size=(7, 7), spatial_scale=1.0 / config.RCNN_FEAT_STRIDE, pad=0.25) roi_pool_concat = mx.symbol.Concat(roi_pool, roi_pool_ctx, name='roi_pool_concat') roi_pool_red = mx.symbol.Convolution( data=roi_pool_concat, num_filter=512, kernel=(1, 1), stride=(1, 1), name='roi_pool_ctx_red') roi_pool = mx.symbol.Activation(data=roi_pool_red, act_type='relu', name='roi_pool_relu') # group 6 flatten = mx.symbol.Flatten(data=roi_pool, name="flatten") fc6 = mx.symbol.FullyConnected(data=flatten, num_hidden=4096, name="fc6") relu6 = mx.symbol.Activation(data=fc6, act_type="relu", name="relu6") drop6 = mx.symbol.Dropout(data=relu6, p=0.5, name="drop6") # group 7 fc7 = mx.symbol.FullyConnected(data=drop6, num_hidden=4096, name="fc7") relu7 = mx.symbol.Activation(data=fc7, act_type="relu", name="relu7") drop7 = mx.symbol.Dropout(data=relu7, p=0.5, name="drop7") # classification cls_score = mx.symbol.FullyConnected(name='cls_score', data=drop7, num_hidden=num_classes) cls_prob = mx.symbol.SoftmaxOutput(name='cls_prob', data=cls_score) # bounding box regression bbox_pred = mx.symbol.FullyConnected(name='bbox_pred', data=drop7, num_hidden=num_classes * 4) # reshape output cls_prob = mx.symbol.Reshape(data=cls_prob, shape=(config.TEST.BATCH_IMAGES, -1, num_classes), name='cls_prob_reshape') bbox_pred = mx.symbol.Reshape(data=bbox_pred, shape=(config.TEST.BATCH_IMAGES, -1, 4 * num_classes), name='bbox_pred_reshape') # group output # group = mx.symbol.Group([rois, cls_prob, bbox_pred]) group = mx.symbol.Group([rois, cls_prob, bbox_pred, flow, flow_avg]) return group def get_vgg_train_dff_cycle(num_classes=config.NUM_CLASSES, num_anchors=config.NUM_ANCHORS): """ Faster R-CNN end-to-end with VGG 16 conv layers Edited for deep feature flow, use flownet warp feature :param num_classes: used to determine output size :param num_anchors: used to determine output size :return: Symbol """ data = mx.symbol.Variable(name="data") data2 = mx.symbol.Variable(name="data2") im_info = mx.symbol.Variable(name="im_info") gt_boxes = mx.symbol.Variable(name="gt_boxes") rpn_label = mx.symbol.Variable(name='label') rpn_bbox_target = mx.symbol.Variable(name='bbox_target') rpn_bbox_weight = mx.symbol.Variable(name='bbox_weight') param_variable_list = [mx.sym.Variable(item) for item in config.SHARE_PARAMS_LIST] param_dic = dict(zip(config.SHARE_PARAMS_LIST, param_variable_list)) print param_dic # shared convolutional layers # relu5_3 = get_vgg_conv(data) # relu5_3 = get_vgg_dilate_conv(data2) # relu5_3, _, _ = feature_propagate(relu5_3, data, data2) # Cycle rcnn_dff # Prev_Image ------> Curr_Image # | # | # v # Prev_Feature <----- Curr_Feature # # Curr_Image ------> Prev_Image # | # | # v # Curr_Feature <----- Prev_Feature src_feature = get_vgg_dilate_conv(data) temp_feature, _, _ = feature_propagate_share(param_dic, src_feature, data2, data) dst_feature, _, _ = feature_propagate_share(param_dic, temp_feature, data, data2) relu5_3 = dst_feature # RPN layers rpn_conv = mx.symbol.Convolution( data=relu5_3, kernel=(3, 3), pad=(1, 1), num_filter=512, name="rpn_conv_3x3") rpn_relu = mx.symbol.Activation(data=rpn_conv, act_type="relu", name="rpn_relu") rpn_cls_score = mx.symbol.Convolution( data=rpn_relu, kernel=(1, 1), pad=(0, 0), num_filter=2 * num_anchors, name="rpn_cls_score") rpn_bbox_pred = mx.symbol.Convolution( data=rpn_relu, kernel=(1, 1), pad=(0, 0), num_filter=4 * num_anchors, name="rpn_bbox_pred") # prepare rpn data rpn_cls_score_reshape = mx.symbol.Reshape( data=rpn_cls_score, shape=(0, 2, -1, 0), name="rpn_cls_score_reshape") # classification rpn_cls_prob = mx.symbol.SoftmaxOutput(data=rpn_cls_score_reshape, label=rpn_label, multi_output=True, normalization='valid', use_ignore=True, ignore_label=-1, is_hidden_layer=config.TRAIN.RPN_OHEM, name="rpn_cls_prob") # bounding box regression if config.RPN_IOU_LOSS: rpn_bbox_loss_ = mx.symbol.Custom(data=rpn_bbox_pred, bbox_target=rpn_bbox_target, bbox_weight=rpn_bbox_weight, op_type='rpn_iou_loss', name='rpn_bbox_loss_', feature_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS)) else: rpn_bbox_loss_ = rpn_bbox_weight * mx.symbol.smooth_l1(name='rpn_bbox_loss_', scalar=3.0, data=(rpn_bbox_pred - rpn_bbox_target)) # rpn output if config.TRAIN.RPN_OHEM: group = mx.symbol.Custom( cls_prob=rpn_cls_prob, bbox_loss=rpn_bbox_loss_, label=rpn_label, bbox_pred=rpn_bbox_pred, name='rpn_ohem', op_type='sample_anchors', feature_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TRAIN.RPN_OHEM_ANCHORS, rpn_batch_size=config.TRAIN.RPN_BATCH_SIZE, nms_threshold=config.TRAIN.RPN_OHEM_NMS, iou_loss=config.RPN_IOU_LOSS, transform=config.TRAIN.RPN_OHEM_TRANSFORM, ignore=config.TRAIN.RPN_OHEM_IGNORE, np_ratio=config.TRAIN.RPN_OHEM_NP_RATIO) rpn_group = [group[0], group[1], group[2], group[3]] else: rpn_bbox_loss = mx.sym.MakeLoss(name='rpn_bbox_loss', data=rpn_bbox_loss_, grad_scale=1.0 / config.TRAIN.RPN_BATCH_SIZE) rpn_group = [rpn_cls_prob, rpn_bbox_loss] # ROI proposal rpn_cls_act = mx.symbol.SoftmaxActivation( data=rpn_cls_score_reshape, mode="channel", name="rpn_cls_act") rpn_cls_act_reshape = mx.symbol.Reshape( data=rpn_cls_act, shape=(0, 2 * num_anchors, -1, 0), name='rpn_cls_act_reshape') if config.TRAIN.CXX_PROPOSAL: rois = mx.symbol.Proposal( cls_prob=rpn_cls_act_reshape, bbox_pred=rpn_bbox_pred, im_info=im_info, name='rois', feature_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TRAIN.RPN_PRE_NMS_TOP_N, rpn_post_nms_top_n=config.TRAIN.RPN_POST_NMS_TOP_N, threshold=config.TRAIN.RPN_NMS_THRESH, rpn_min_size=config.TRAIN.RPN_MIN_SIZE, iou_loss=config.RPN_IOU_LOSS) else: rois = mx.symbol.Custom( cls_prob=rpn_cls_act_reshape, bbox_pred=rpn_bbox_pred, im_info=im_info, name='rois', op_type='proposal', feat_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TRAIN.RPN_PRE_NMS_TOP_N, rpn_post_nms_top_n=config.TRAIN.RPN_POST_NMS_TOP_N, threshold=config.TRAIN.RPN_NMS_THRESH, rpn_min_size=config.TRAIN.RPN_MIN_SIZE, iou_loss=config.RPN_IOU_LOSS) # ROI proposal target gt_boxes_reshape = mx.symbol.Reshape(data=gt_boxes, shape=(-1, 5), name='gt_boxes_reshape') if config.TRAIN.RCNN_OHEM: group = mx.symbol.Custom(rois=rois, gt_boxes=gt_boxes_reshape, op_type='proposal_target', num_classes=num_classes, batch_images=config.TRAIN.BATCH_IMAGES, batch_rois=config.TRAIN.RCNN_OHEM_ROIS, ohem=config.TRAIN.RCNN_OHEM) else: group = mx.symbol.Custom(rois=rois, gt_boxes=gt_boxes_reshape, op_type='proposal_target', num_classes=num_classes, batch_images=config.TRAIN.BATCH_IMAGES, batch_rois=config.TRAIN.BATCH_ROIS, fg_fraction=config.TRAIN.FG_FRACTION) rois = group[0] label = group[1] bbox_target = group[2] bbox_weight = group[3] # Fast R-CNN roi_pool = mx.symbol.ROIPooling( name='roi_pool', data=relu5_3, rois=rois, pooled_size=(7, 7), spatial_scale=1.0 / config.RCNN_FEAT_STRIDE) if config.RCNN_CTX_WINDOW: roi_pool_ctx = mx.symbol.ROIPooling( name='roi_pool_ctx', data=relu5_3, rois=rois, pooled_size=(7, 7), spatial_scale=1.0 / config.RCNN_FEAT_STRIDE, pad=0.25) roi_pool_concat = mx.symbol.Concat(roi_pool, roi_pool_ctx, name='roi_pool_concat') roi_pool_red = mx.symbol.Convolution( data=roi_pool_concat, num_filter=512, kernel=(1, 1), stride=(1, 1), name='roi_pool_ctx_red') roi_pool = mx.symbol.Activation(data=roi_pool_red, act_type='relu', name='roi_pool_relu') # group 6 flatten = mx.symbol.Flatten(data=roi_pool, name="flatten") fc6 = mx.symbol.FullyConnected(data=flatten, num_hidden=4096, name="fc6") relu6 = mx.symbol.Activation(data=fc6, act_type="relu", name="relu6") drop6 = mx.symbol.Dropout(data=relu6, p=0.5, name="drop6") # group 7 fc7 = mx.symbol.FullyConnected(data=drop6, num_hidden=4096, name="fc7") relu7 = mx.symbol.Activation(data=fc7, act_type="relu", name="relu7") drop7 = mx.symbol.Dropout(data=relu7, p=0.5, name="drop7") # classification cls_score = mx.symbol.FullyConnected(name='cls_score', data=drop7, num_hidden=num_classes) cls_prob = mx.symbol.SoftmaxOutput(name='cls_prob', data=cls_score, label=label, normalization='batch', is_hidden_layer=config.TRAIN.RCNN_OHEM) # bounding box regression bbox_pred = mx.symbol.FullyConnected(name='bbox_pred', data=drop7, num_hidden=num_classes * 4) if config.RCNN_IOU_LOSS: bbox_loss_ = mx.symbol.Custom(data=bbox_pred, bbox_target=bbox_target, bbox_weight=bbox_weight, rois=rois, op_type='rcnn_iou_loss', name='bbox_loss_', num_classes=num_classes) else: bbox_loss_ = bbox_weight * mx.symbol.smooth_l1(name='bbox_loss_', scalar=1.0, data=(bbox_pred - bbox_target)) if config.TRAIN.RCNN_OHEM: group = mx.symbol.Custom( cls_prob=cls_prob, bbox_loss=bbox_loss_, label=label, rois=rois, bbox_pred=bbox_pred, name='rcnn_ohem', op_type='sample_rois', batch_images=config.TRAIN.BATCH_IMAGES, batch_size=config.TRAIN.BATCH_ROIS, nms_threshold=config.TRAIN.RCNN_OHEM_NMS, iou_loss=config.RPN_IOU_LOSS, transform=config.TRAIN.RCNN_OHEM_TRANSFORM, ignore=config.TRAIN.RCNN_OHEM_IGNORE) rcnn_group = [group[0], group[1], group[2], group[3]] for ind, name, last_shape in zip(range(len(rcnn_group)), ['cls_prob', 'bbox_loss', 'cls_mask', 'bbox_mask'], [num_classes, num_classes * 4, num_classes, num_classes * 4]): rcnn_group[ind] = mx.symbol.Reshape(data=rcnn_group[ind], shape=(config.TRAIN.BATCH_IMAGES, -1, last_shape), name=name + '_reshape') else: bbox_loss = mx.sym.MakeLoss(name='bbox_loss', data=bbox_loss_, grad_scale=1.0 / config.TRAIN.BATCH_ROIS) rcnn_group = [cls_prob, bbox_loss] for ind, name, last_shape in zip(range(len(rcnn_group)), ['cls_prob', 'bbox_loss'], [num_classes, num_classes * 4]): rcnn_group[ind] = mx.symbol.Reshape(data=rcnn_group[ind], shape=(config.TRAIN.BATCH_IMAGES, -1, last_shape), name=name + '_reshape') # append label label = mx.symbol.Reshape(data=label, shape=(config.TRAIN.BATCH_IMAGES, -1), name='label_reshape') rcnn_group += [mx.symbol.BlockGrad(label, name='label_blockgrad')] group = mx.symbol.Group(rpn_group + rcnn_group) return group def get_embedding_feature(feature_input,embedding_param_dic): embedding_conv1 = mx.symbol.Convolution(data=feature_input, kernel=(1, 1), \ pad=(0, 0), num_filter=512, name="embedding_conv1",\ weight=embedding_param_dic['embedding_conv1_weight'],\ bias=embedding_param_dic['embedding_conv1_bias']) embedding_conv2 = mx.symbol.Convolution(data=embedding_conv1, kernel=(1, 1),\ pad=(1, 1), num_filter=512, name="embedding_conv2",\ weight=embedding_param_dic['embedding_conv2_weight'],\ bias=embedding_param_dic['embedding_conv2_bias']) embedding_conv3 = mx.symbol.Convolution(data=embedding_conv2, kernel=(1, 1),\ pad=(0, 0), num_filter=512, name="embedding_conv3",\ weight=embedding_param_dic['embedding_conv3_weight'],\ bias=embedding_param_dic['embedding_conv3_bias']) embedding_flatten = mx.symbol.Flatten(data=embedding_conv3, name='embedding_flatten') return embedding_flatten def get_feature_aggregation(relu5_3_dict): """ Flow Feature Aggregation use weight from similarity measurement. :param relu5_3_dict: nearby feature from flow warp :return: Symbol """ embedding_param_variable_list = [mx.sym.Variable(item) for item in config.EMBEDDING_PARAMS_LIST ] embedding_param_dic = dict(zip(config.EMBEDDING_PARAMS_LIST, embedding_param_variable_list)) embedding_dict = {} for item in relu5_3_dict.keys(): embedding_dict[item] = get_embedding_feature(relu5_3_dict[item],embedding_param_dic) ref_feature = embedding_dict['data'] # l2 distance of ref_feature (name = 'data') ref_length_sqr = mx.symbol.dot(ref_feature ,mx.symbol.Reshape(ref_feature, shape=(-1,))) ref_length = mx.symbol.sqrt(ref_length_sqr) score_dict = {} dot_product_dict = {} l2_product_dict = {} for item in embedding_dict.keys(): curr_feature = embedding_dict[item] # mx.symbol.Reshape(ref_feature, shape=(-1,)) dot_product = mx.symbol.dot(curr_feature, mx.symbol.Reshape(ref_feature,\ shape=(-1,)), \ name='dot_product_{}'.format(item)) dot_product = mx.symbol.Reshape(dot_product, shape=(1,)) dot_product_dict[item] = dot_product # l2 distance of curr_feature (name = item, e.g. 'prev_1, next_1') curr_length_sqr = mx.symbol.dot(curr_feature ,mx.symbol.Reshape(curr_feature, shape=(-1,))) curr_length = mx.symbol.sqrt(curr_length_sqr) l2_product = curr_length * ref_length l2_product = mx.symbol.Reshape(l2_product, shape=(1,)) score_dict[item] = mx.symbol.exp( dot_product / l2_product , name='score_{}'.format(item)) arg_shape, output_shape, aux_shape = embedding_dict['data'].infer_shape(data=(2, 3, 384, 1280)) print '####dot_product:',arg_shape, output_shape, aux_shape # calculate the weight of every feature weight_dict = {} weight_sum = score_dict['data'] for item in score_dict.keys(): if item != 'data': weight_sum += score_dict[item] for item in score_dict.keys(): weight_dict[item] = score_dict[item] / weight_sum relu5_3 = relu5_3_dict['data'] for item in weight_dict.keys(): relu5_3_temp = mx.symbol.broadcast_mul(lhs=relu5_3_dict[item], rhs=weight_dict[item]) relu5_3 += relu5_3_temp relu5_3 -= relu5_3_dict['data'] return relu5_3 def get_vgg_train_ffa(num_classes=config.NUM_CLASSES, num_anchors=config.NUM_ANCHORS): """ Flow Feature Aggregation Faster R-CNN end-to-end with VGG 16 conv layers Edited for deep feature flow, use flownet warp feature :param num_classes: used to determine output size :param num_anchors: used to determine output size :return: Symbol """ # flow share param param_variable_list = [mx.sym.Variable(item) for item in config.SHARE_PARAMS_LIST] param_dic = dict(zip(config.SHARE_PARAMS_LIST, param_variable_list)) # create data dict to store curr image and nearby image data_dict = {} for i in range(config.FRAMES_FEATURE_AGGREGATION): data_dict['prev_{}'.format(i+1)] = mx.symbol.Variable(name='prev_{}'.format(i+1)) data_dict['next_{}'.format(i+1)] = mx.symbol.Variable(name='next_{}'.format(i+1)) data_dict['data'] = mx.symbol.Variable(name="data") im_info = mx.symbol.Variable(name="im_info") gt_boxes = mx.symbol.Variable(name="gt_boxes") rpn_label = mx.symbol.Variable(name='label') rpn_bbox_target = mx.symbol.Variable(name='bbox_target') rpn_bbox_weight = mx.symbol.Variable(name='bbox_weight') # direct feature from rcnn (relu5_3 reference) relu5_3_ref = get_vgg_dilate_conv(data_dict['data']) # create feature dict to store ref feature and nearby features relu5_3_dict = {} for item in data_dict.keys(): # use flow to get feature relu5_3_dict[item], _, _ = feature_propagate_share(item, param_dic, \ relu5_3_ref, \ data_dict[item],\ data_dict['data']) relu5_3_dict['data'] = relu5_3_ref # feature aggregation use neary features relu5_3 = get_feature_aggregation(relu5_3_dict) # RPN layers rpn_conv = mx.symbol.Convolution( data=relu5_3, kernel=(3, 3), pad=(1, 1), num_filter=512, name="rpn_conv_3x3") rpn_relu = mx.symbol.Activation(data=rpn_conv, act_type="relu", name="rpn_relu") rpn_cls_score = mx.symbol.Convolution( data=rpn_relu, kernel=(1, 1), pad=(0, 0), num_filter=2 * num_anchors, name="rpn_cls_score") rpn_bbox_pred = mx.symbol.Convolution( data=rpn_relu, kernel=(1, 1), pad=(0, 0), num_filter=4 * num_anchors, name="rpn_bbox_pred") # prepare rpn data rpn_cls_score_reshape = mx.symbol.Reshape( data=rpn_cls_score, shape=(0, 2, -1, 0), name="rpn_cls_score_reshape") # classification rpn_cls_prob = mx.symbol.SoftmaxOutput(data=rpn_cls_score_reshape, label=rpn_label, multi_output=True, normalization='valid', use_ignore=True, ignore_label=-1, is_hidden_layer=config.TRAIN.RPN_OHEM, name="rpn_cls_prob") # bounding box regression if config.RPN_IOU_LOSS: rpn_bbox_loss_ = mx.symbol.Custom(data=rpn_bbox_pred, bbox_target=rpn_bbox_target, bbox_weight=rpn_bbox_weight, op_type='rpn_iou_loss', name='rpn_bbox_loss_', feature_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS)) else: rpn_bbox_loss_ = rpn_bbox_weight * mx.symbol.smooth_l1(name='rpn_bbox_loss_', scalar=3.0, data=(rpn_bbox_pred - rpn_bbox_target)) # rpn output if config.TRAIN.RPN_OHEM: group = mx.symbol.Custom( cls_prob=rpn_cls_prob, bbox_loss=rpn_bbox_loss_, label=rpn_label, bbox_pred=rpn_bbox_pred, name='rpn_ohem', op_type='sample_anchors', feature_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TRAIN.RPN_OHEM_ANCHORS, rpn_batch_size=config.TRAIN.RPN_BATCH_SIZE, nms_threshold=config.TRAIN.RPN_OHEM_NMS, iou_loss=config.RPN_IOU_LOSS, transform=config.TRAIN.RPN_OHEM_TRANSFORM, ignore=config.TRAIN.RPN_OHEM_IGNORE, np_ratio=config.TRAIN.RPN_OHEM_NP_RATIO) rpn_group = [group[0], group[1], group[2], group[3]] else: rpn_bbox_loss = mx.sym.MakeLoss(name='rpn_bbox_loss', data=rpn_bbox_loss_, grad_scale=1.0 / config.TRAIN.RPN_BATCH_SIZE) rpn_group = [rpn_cls_prob, rpn_bbox_loss] # ROI proposal rpn_cls_act = mx.symbol.SoftmaxActivation( data=rpn_cls_score_reshape, mode="channel", name="rpn_cls_act") rpn_cls_act_reshape = mx.symbol.Reshape( data=rpn_cls_act, shape=(0, 2 * num_anchors, -1, 0), name='rpn_cls_act_reshape') if config.TRAIN.CXX_PROPOSAL: rois = mx.symbol.Proposal( cls_prob=rpn_cls_act_reshape, bbox_pred=rpn_bbox_pred, im_info=im_info, name='rois', feature_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TRAIN.RPN_PRE_NMS_TOP_N, rpn_post_nms_top_n=config.TRAIN.RPN_POST_NMS_TOP_N, threshold=config.TRAIN.RPN_NMS_THRESH, rpn_min_size=config.TRAIN.RPN_MIN_SIZE, iou_loss=config.RPN_IOU_LOSS) else: rois = mx.symbol.Custom( cls_prob=rpn_cls_act_reshape, bbox_pred=rpn_bbox_pred, im_info=im_info, name='rois', op_type='proposal', feat_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TRAIN.RPN_PRE_NMS_TOP_N, rpn_post_nms_top_n=config.TRAIN.RPN_POST_NMS_TOP_N, threshold=config.TRAIN.RPN_NMS_THRESH, rpn_min_size=config.TRAIN.RPN_MIN_SIZE, iou_loss=config.RPN_IOU_LOSS) # ROI proposal target gt_boxes_reshape = mx.symbol.Reshape(data=gt_boxes, shape=(-1, 5), name='gt_boxes_reshape') if config.TRAIN.RCNN_OHEM: group = mx.symbol.Custom(rois=rois, gt_boxes=gt_boxes_reshape, op_type='proposal_target', num_classes=num_classes, batch_images=config.TRAIN.BATCH_IMAGES, batch_rois=config.TRAIN.RCNN_OHEM_ROIS, ohem=config.TRAIN.RCNN_OHEM) else: group = mx.symbol.Custom(rois=rois, gt_boxes=gt_boxes_reshape, op_type='proposal_target', num_classes=num_classes, batch_images=config.TRAIN.BATCH_IMAGES, batch_rois=config.TRAIN.BATCH_ROIS, fg_fraction=config.TRAIN.FG_FRACTION) rois = group[0] label = group[1] bbox_target = group[2] bbox_weight = group[3] # Fast R-CNN roi_pool = mx.symbol.ROIPooling( name='roi_pool', data=relu5_3, rois=rois, pooled_size=(7, 7), spatial_scale=1.0 / config.RCNN_FEAT_STRIDE) if config.RCNN_CTX_WINDOW: roi_pool_ctx = mx.symbol.ROIPooling( name='roi_pool_ctx', data=relu5_3, rois=rois, pooled_size=(7, 7), spatial_scale=1.0 / config.RCNN_FEAT_STRIDE, pad=0.25) roi_pool_concat = mx.symbol.Concat(roi_pool, roi_pool_ctx, name='roi_pool_concat') roi_pool_red = mx.symbol.Convolution( data=roi_pool_concat, num_filter=512, kernel=(1, 1), stride=(1, 1), name='roi_pool_ctx_red') roi_pool = mx.symbol.Activation(data=roi_pool_red, act_type='relu', name='roi_pool_relu') # group 6 flatten = mx.symbol.Flatten(data=roi_pool, name="flatten") fc6 = mx.symbol.FullyConnected(data=flatten, num_hidden=4096, name="fc6") relu6 = mx.symbol.Activation(data=fc6, act_type="relu", name="relu6") drop6 = mx.symbol.Dropout(data=relu6, p=0.5, name="drop6") # group 7 fc7 = mx.symbol.FullyConnected(data=drop6, num_hidden=4096, name="fc7") relu7 = mx.symbol.Activation(data=fc7, act_type="relu", name="relu7") drop7 = mx.symbol.Dropout(data=relu7, p=0.5, name="drop7") # classification cls_score = mx.symbol.FullyConnected(name='cls_score', data=drop7, num_hidden=num_classes) cls_prob = mx.symbol.SoftmaxOutput(name='cls_prob', data=cls_score, label=label, normalization='batch', is_hidden_layer=config.TRAIN.RCNN_OHEM) # bounding box regression bbox_pred = mx.symbol.FullyConnected(name='bbox_pred', data=drop7, num_hidden=num_classes * 4) if config.RCNN_IOU_LOSS: bbox_loss_ = mx.symbol.Custom(data=bbox_pred, bbox_target=bbox_target, bbox_weight=bbox_weight, rois=rois, op_type='rcnn_iou_loss', name='bbox_loss_', num_classes=num_classes) else: bbox_loss_ = bbox_weight * mx.symbol.smooth_l1(name='bbox_loss_', scalar=1.0, data=(bbox_pred - bbox_target)) if config.TRAIN.RCNN_OHEM: group = mx.symbol.Custom( cls_prob=cls_prob, bbox_loss=bbox_loss_, label=label, rois=rois, bbox_pred=bbox_pred, name='rcnn_ohem', op_type='sample_rois', batch_images=config.TRAIN.BATCH_IMAGES, batch_size=config.TRAIN.BATCH_ROIS, nms_threshold=config.TRAIN.RCNN_OHEM_NMS, iou_loss=config.RPN_IOU_LOSS, transform=config.TRAIN.RCNN_OHEM_TRANSFORM, ignore=config.TRAIN.RCNN_OHEM_IGNORE) rcnn_group = [group[0], group[1], group[2], group[3]] for ind, name, last_shape in zip(range(len(rcnn_group)), ['cls_prob', 'bbox_loss', 'cls_mask', 'bbox_mask'], [num_classes, num_classes * 4, num_classes, num_classes * 4]): rcnn_group[ind] = mx.symbol.Reshape(data=rcnn_group[ind], shape=(config.TRAIN.BATCH_IMAGES, -1, last_shape), name=name + '_reshape') else: bbox_loss = mx.sym.MakeLoss(name='bbox_loss', data=bbox_loss_, grad_scale=1.0 / config.TRAIN.BATCH_ROIS) rcnn_group = [cls_prob, bbox_loss] for ind, name, last_shape in zip(range(len(rcnn_group)), ['cls_prob', 'bbox_loss'], [num_classes, num_classes * 4]): rcnn_group[ind] = mx.symbol.Reshape(data=rcnn_group[ind], shape=(config.TRAIN.BATCH_IMAGES, -1, last_shape), name=name + '_reshape') # append label label = mx.symbol.Reshape(data=label, shape=(config.TRAIN.BATCH_IMAGES, -1), name='label_reshape') rcnn_group += [mx.symbol.BlockGrad(label, name='label_blockgrad')] group = mx.symbol.Group(rpn_group + rcnn_group) return group def get_vgg_test_ffa(num_classes=config.NUM_CLASSES, num_anchors=config.NUM_ANCHORS): """ Faster R-CNN test with VGG 16 conv layers :param num_classes: used to determine output size :param num_anchors: used to determine output size :return: Symbol """ param_variable_list = [mx.sym.Variable(item) for item in config.SHARE_PARAMS_LIST] param_dic = dict(zip(config.SHARE_PARAMS_LIST, param_variable_list)) data_dict = {} for i in range(config.FRAMES_FEATURE_AGGREGATION): data_dict['prev_{}'.format(i+1)] = mx.symbol.Variable(name='prev_{}'.format(i+1)) data_dict['next_{}'.format(i+1)] = mx.symbol.Variable(name='next_{}'.format(i+1)) data_dict['data'] = mx.symbol.Variable(name="data") # data = data_dict['data'] im_info = mx.symbol.Variable(name="im_info") gt_boxes = mx.symbol.Variable(name="gt_boxes") rpn_label = mx.symbol.Variable(name='label') rpn_bbox_target = mx.symbol.Variable(name='bbox_target') rpn_bbox_weight = mx.symbol.Variable(name='bbox_weight') # shared convolutional layers # relu5_3 = get_vgg_conv(data) relu5_3_ref = get_vgg_dilate_conv(data_dict['data']) arg_shape, output_shape, aux_shape = relu5_3_ref.infer_shape(data=(1, 3, 384, 1280)) print 'aaaaaa relu5_3_ref:',arg_shape, output_shape, aux_shape relu5_3_dict = {} for item in data_dict.keys(): # print "#####", data_dict[item].list_arguments() # feature_propagate_share(param_dic, src_feature, data2, data) relu5_3_dict[item], flow, flow_avg = feature_propagate_share(item, param_dic, relu5_3_ref, data_dict[item], data_dict['data']) # print "~~~~~~", relu5_3_dict[item].list_arguments() relu5_3_dict['data'] = relu5_3_ref # print "flow flow flow", relu5_3_dict['prev_1'].list_arguments() relu5_3 = get_feature_aggregation(relu5_3_dict) # RPN rpn_conv = mx.symbol.Convolution( data=relu5_3, kernel=(3, 3), pad=(1, 1), num_filter=512, name="rpn_conv_3x3") rpn_relu = mx.symbol.Activation(data=rpn_conv, act_type="relu", name="rpn_relu") rpn_cls_score = mx.symbol.Convolution( data=rpn_relu, kernel=(1, 1), pad=(0, 0), num_filter=2 * num_anchors, name="rpn_cls_score") rpn_bbox_pred = mx.symbol.Convolution( data=rpn_relu, kernel=(1, 1), pad=(0, 0), num_filter=4 * num_anchors, name="rpn_bbox_pred") # ROI Proposal rpn_cls_score_reshape = mx.symbol.Reshape( data=rpn_cls_score, shape=(0, 2, -1, 0), name="rpn_cls_score_reshape") rpn_cls_prob = mx.symbol.SoftmaxActivation( data=rpn_cls_score_reshape, mode="channel", name="rpn_cls_prob") rpn_cls_prob_reshape = mx.symbol.Reshape( data=rpn_cls_prob, shape=(0, 2 * num_anchors, -1, 0), name='rpn_cls_prob_reshape') if config.TEST.CXX_PROPOSAL: rois = mx.symbol.Proposal( cls_prob=rpn_cls_prob_reshape, bbox_pred=rpn_bbox_pred, im_info=im_info, name='rois', feature_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TEST.RPN_PRE_NMS_TOP_N, rpn_post_nms_top_n=config.TEST.RPN_POST_NMS_TOP_N, threshold=config.TEST.RPN_NMS_THRESH, rpn_min_size=config.TEST.RPN_MIN_SIZE, iou_loss=config.RPN_IOU_LOSS) else: rois = mx.symbol.Custom( cls_prob=rpn_cls_prob_reshape, bbox_pred=rpn_bbox_pred, im_info=im_info, name='rois', op_type='proposal', feat_stride=config.RPN_FEAT_STRIDE, scales=tuple(config.ANCHOR_SCALES), ratios=tuple(config.ANCHOR_RATIOS), rpn_pre_nms_top_n=config.TEST.RPN_PRE_NMS_TOP_N, rpn_post_nms_top_n=config.TEST.RPN_POST_NMS_TOP_N, threshold=config.TEST.RPN_NMS_THRESH, rpn_min_size=config.TEST.RPN_MIN_SIZE, iou_loss=config.RPN_IOU_LOSS) # Fast R-CNN roi_pool = mx.symbol.ROIPooling( name='roi_pool', data=relu5_3, rois=rois, pooled_size=(7, 7), spatial_scale=1.0 / config.RCNN_FEAT_STRIDE) if config.RCNN_CTX_WINDOW: roi_pool_ctx = mx.symbol.ROIPooling( name='roi_pool_ctx', data=relu5_3, rois=rois, pooled_size=(7, 7), spatial_scale=1.0 / config.RCNN_FEAT_STRIDE, pad=0.25) roi_pool_concat = mx.symbol.Concat(roi_pool, roi_pool_ctx, name='roi_pool_concat') roi_pool_red = mx.symbol.Convolution( data=roi_pool_concat, num_filter=512, kernel=(1, 1), stride=(1, 1), name='roi_pool_ctx_red') roi_pool = mx.symbol.Activation(data=roi_pool_red, act_type='relu', name='roi_pool_relu') # group 6 flatten = mx.symbol.Flatten(data=roi_pool, name="flatten") fc6 = mx.symbol.FullyConnected(data=flatten, num_hidden=4096, name="fc6") relu6 = mx.symbol.Activation(data=fc6, act_type="relu", name="relu6") drop6 = mx.symbol.Dropout(data=relu6, p=0.5, name="drop6") # group 7 fc7 = mx.symbol.FullyConnected(data=drop6, num_hidden=4096, name="fc7") relu7 = mx.symbol.Activation(data=fc7, act_type="relu", name="relu7") drop7 = mx.symbol.Dropout(data=relu7, p=0.5, name="drop7") # classification cls_score = mx.symbol.FullyConnected(name='cls_score', data=drop7, num_hidden=num_classes) cls_prob = mx.symbol.SoftmaxOutput(name='cls_prob', data=cls_score) # bounding box regression bbox_pred = mx.symbol.FullyConnected(name='bbox_pred', data=drop7, num_hidden=num_classes * 4) # reshape output cls_prob = mx.symbol.Reshape(data=cls_prob, shape=(config.TEST.BATCH_IMAGES, -1, num_classes), name='cls_prob_reshape') bbox_pred = mx.symbol.Reshape(data=bbox_pred, shape=(config.TEST.BATCH_IMAGES, -1, 4 * num_classes), name='bbox_pred_reshape') # group output group = mx.symbol.Group([rois, cls_prob, bbox_pred]) # group = mx.symbol.Group([rois, cls_prob, bbox_pred, flow, flow_avg]) return group

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105b61b3fa692247bb72d2917e9a498607d16513

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py

Python

tests/common.py

pyexcel-renderers/pyexcel-echarts

37200195c8ffe0fe4cc13754f322989accaa3548

[ "BSD-3-Clause" ]

2

2018-10-14T16:10:33.000Z

2019-08-28T19:24:18.000Z

tests/common.py

pyexcel/pyexcel-echarts

37200195c8ffe0fe4cc13754f322989accaa3548

[ "BSD-3-Clause" ]

1

2018-03-04T09:02:51.000Z

tests/common.py

pyexcel/pyexcel-echarts

37200195c8ffe0fe4cc13754f322989accaa3548

[ "BSD-3-Clause" ]

null

import os def get_fixtures(file_name): return os.path.join("docs", "source", "data", file_name)

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