xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

16db62eebc7d7b6b9686a9005f15f128903c8bda

6,340

py

Python

mysignal/filter_graph.py

wy2136/wython

0eaa9db335d57052806ae956afe6a34705407628

[ "MIT" ]

1

2022-03-21T21:24:40.000Z

mysignal/filter_graph.py

wy2136/wython

0eaa9db335d57052806ae956afe6a34705407628

[ "MIT" ]

null

mysignal/filter_graph.py

wy2136/wython

0eaa9db335d57052806ae956afe6a34705407628

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Thu Jan 15, 2015 @author: Wenchang Yang """ from __future__ import print_function from .filter import \ _lowpass_ba, _highpass_ba, _bandpass_ba, \ _lowpass_ba_lanczos, _highpass_ba_lanczos import numpy as np import matplotlib.pyplot as plt from scipy.signal import freqz # ---- general filter def show_response(b=None,a=1.0,fbfilt=False, label=None, xtick_labels_T=False, return_data=False): '''Show the signal response function in frequency space given the coefficients of a and b. ''' # parameters if b is None: b = [1./4,]*4 b = np.array(b) a = np.array(a) print ('b = ',b) print ('a = ',a) print ('fbfilt is ',fbfilt) # data w,h = freqz(b,a) xx = w/w[-1]/2 if fbfilt: yy = abs(h**2) else: yy = abs(h) # plot plt.plot(xx, yy, label=label) plt.xlim(0,0.5) plt.axhline(1,color='gray', ls='--') plt.title('b = ' + str(b.round(2)) + '; a = ' + str(a.round(2)), y=1.02) # xtick labels as periods if xtick_labels_T: T = np.array( [2, 4, 10, 100] ) f = 1./T xtick_labels = [str(i) for i in T] plt.xticks(f, xtick_labels) plt.xlabel('$T/T_s$') plt.ylabel('$|R(T/T_s)|$') else: plt.xlabel('$f/f_s$') plt.ylabel('$|R(f/f_s)|$') # return data if return_data: return xx, yy # # ---- Butterworth filter def show_response_lp(lowcut=0.25,fs=1.0,order=2, fbfilt=True,label=None, xtick_labels_T=False, return_data=False): '''Show the lowpass (Butterworth) response function.''' # params print ('lowcut = ',lowcut) print ('fs = ',fs) print ('order = ',order) # data b,a = _lowpass_ba(lowcut=lowcut,fs=fs,order=order) # plot xx, yy = show_response(b, a, fbfilt=fbfilt, label=label, xtick_labels_T=xtick_labels_T, return_data=True) plt.title('$f_{low}/f_s = $ $%.2g$' % (lowcut/fs), y=1) plt.axvline(lowcut,color='gray', ls='--') # return data if return_data: return xx, yy def show_response_hp(highcut=0.25,fs=1.0,order=2, fbfilt=True,label=None, xtick_labels_T=False, return_data=False): '''Show the highpass (Butterworth) response function.''' # params print ('highcut = ',highcut) print ('fs = ',fs) print ('order = ',order) print ('fbfilt is ',fbfilt) # data b,a = _highpass_ba(highcut=highcut,fs=fs,order=order) # plot xx, yy = show_response(b, a, fbfilt=fbfilt, label=label, xtick_labels_T=xtick_labels_T, return_data=True) plt.title('$f_{high}/f_s = $ $%.2g$' % (highcut/fs), y=1) plt.axvline(highcut,color='gray', ls='--') # return data if return_data: return xx, yy def show_response_bp(lowcut=0.125,highcut=0.375,fs=1.0,order=2, fbfilt=True,label=None, xtick_labels_T=False, return_data=False): '''Show the bandpass (Butterworth) response function. ''' # params print ('lowcut = ',lowcut) print ('highcut = ',highcut) print ('fs = ',fs) print ('order = ',order) print ('fbfilt is ',fbfilt) # data b,a = _bandpass_ba(lowcut=lowcut,highcut=highcut,fs=fs,order=order) # plot xx, yy = show_response(b, a, fbfilt=fbfilt, label=label, xtick_labels_T=xtick_labels, return_data=True) plt.title('$f_{high}/f_s = $ $%.2g$, $f_{high}/f_s = $ $%.2g$' % (lowcut/fs, highcut/fs), y=1) plt.axvline(highcut,color='gray', ls='--') plt.axvline(lowcut,color='gray', ls='--') plt.xlabel('$f/f_s$') plt.ylabel('$|R(f/f_s)|$') # return data if return_data: return xx, yy # # ---- Lanczos filter def show_response_lp_lanczos(lowcut=0.25,fs=1.,M=10, fbfilt=True,label=None, xtick_labels_T=False, return_data=False): '''Show the lowpass (Lanczos) response function.''' # params print ('lowcut = ',lowcut) print ('fs = ',fs) print ('M = ',M) print ('fbfilt is ',fbfilt) # data b,a = _lowpass_ba_lanczos(lowcut,fs=fs,M=M) # plot xx, yy = show_response(b, a, fbfilt=fbfilt, label=label, xtick_labels_T=xtick_labels_T, return_data=True) plt.title('$f_{low}/f_s = $ $%.2g$' % (lowcut/fs), y=1) plt.axvline(lowcut,color='gray', ls='--') # return data if return_data: return xx, yy def show_response_hp_lanczos(highcut=0.25, fs=1., M=10, fbfilt=True, label=None, xtick_labels_T=False, return_data=False): '''Show the highpass (Lanczos) response function.''' # params print ('highcut = ',highcut) print ('fs = ',fs) print ('M = ',M) print ('fbfilt is ',fbfilt) # data b,a = _highpass_ba_lanczos(highcut,fs=fs,M=M) # plot xx, yy = show_response(b, a, fbfilt=fbfilt, label=label, xtick_labels_T=xtick_labels_T, return_data=True) plt.title('$f_{high}/f_s = $ $%.2g$' % (highcut/fs), y=1) plt.axvline(highcut,color='gray', ls='--') # return data if return_data: return xx, yy def show_response_bp_lanczos(lowcut=0.125,highcut=0.375,fs=1.0,M=10, fbfilt=True,label=None, xtick_labels_T=False, return_data=False): '''Show the bandpass (Lanczos) response function.''' # params print ('lowcut = ',lowcut) print ('highcut = ',highcut) print ('fs = ',fs) print ('M = ',M) print ('fbfilt is ',fbfilt) # data b,a = _lowpass_ba_lanczos(highcut,fs=fs,M=M) w,hlow = freqz(b,a) b,a = _highpass_ba_lanczos(lowcut,fs=fs,M=M) w,hhigh = freqz(b,a) xx = w/w[-1]/2 if fbfilt: yy = abs(hlow**2*hhigh**2) else: yy = abs(hlow)*abs(hhigh) # plot plt.plot(xx, yy, label=label) plt.title('$f_{high}/f_s = $ $%.2g$, $f_{high}/f_s = $ $%.2g$' % (lowcut/fs, highcut/fs), y=1) plt.axvline(highcut,color='gray', ls='--') plt.axvline(lowcut,color='gray', ls='--') plt.axhline(1,color='gray', ls='--') # xtick labels as periods if xtick_labels_T: T = np.array( [2, 4, 10, 100] ) f = 1./T xtick_labels = [str(i) for i in T] plt.xticks(f, xtick_labels) plt.xlabel('$T/T_s$') plt.ylabel('$|R(T/T_s)|$') else: plt.xlabel('$f/f_s$') plt.ylabel('$|R(f/f_s)|$') # return data if return_data: return xx, yy #

30.776699

134

0.588328

956

6,340

3.753138

0.117155

0.072464

0.060201

0.039019

0.841973

0.802954

0.78874

0.77369

0.748885

0.730491

0

0.021914

0.237066

6,340

205

135

30.926829

0.719868

0.122871

0

0.70229

0

0.015267

0.103813

0

1

0.053435

false

0.068702

0.038168

0

0.145038

0.221374

0

null

0

1

0

1

0

null

0

1

0

8

bc6c24681f5bfa47c7c00668e97fa05ecd0134e2

254

py

Python

app/storage/__init__.py

dolfinus/cryptonite

b90c24d008f4af78f8ed00fc9a30fea4628a443a

[ "MIT" ]

null

app/storage/__init__.py

dolfinus/cryptonite

b90c24d008f4af78f8ed00fc9a30fea4628a443a

[ "MIT" ]

4

2020-03-18T12:04:12.000Z

2020-07-07T19:32:23.000Z

app/storage/__init__.py

dolfinus/cryptonite

b90c24d008f4af78f8ed00fc9a30fea4628a443a

[ "MIT" ]

null

from storage.common.test import TestSingletone, TestItemSingletone, TestResultSingletone, TestAnswerSingletone from storage.common.user import UserSingletone from storage.common.article import ArticleSingletone from storage.db.user import User

50.8

114

0.84252

27

254

7.925926

0.518519

0.205607

0.238318

0

0.114173

254

5

115

50.8

0.951111

0

1

0

true

0

1

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null

1

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1

0

null

0

1

0

1

0

1

0

7

bc826fafba999ea6138297b89cf52cc8a465353b

26,118

py

Python

cogs/kits.py

jeraldlyh/horizon

8898019d79ed168b991a649c1f84b7d1ec4c433d

[ "Apache-2.0" ]

2

2021-07-06T10:42:02.000Z

2021-07-06T11:16:53.000Z

cogs/kits.py

jeraldlyh/horizon

8898019d79ed168b991a649c1f84b7d1ec4c433d

[ "Apache-2.0" ]

null

cogs/kits.py

jeraldlyh/horizon

8898019d79ed168b991a649c1f84b7d1ec4c433d

[ "Apache-2.0" ]

null

import pymongo import discord import random import datetime import time import pytz import os from discord.ext import commands from cogs.utils.misc import level_up from cogs.utils.checks import is_donator, has_registered, is_economy_channel from cogs.utils.embed import (passembed, errorembed) class Kits(commands.Cog): def __init__(self, bot): self.bot = bot self.client = pymongo.MongoClient(os.getenv("MONGO_DB")) self.db = self.client.get_database('Users') self.records = self.db.horizon_database self.classDict = { 'Soldier':['Sash Sergeant', 'Shock Trooper', 'Commando', 'Special Forces', 'Bullet Storm'], 'Constructor':['BASE', 'Heavy BASE', 'MEGABASE', 'Riot Control', 'Warden'], 'Ninja':['Assassin', 'Deadly Blade', 'Dim Mak', 'Harvester', 'Shuriken Master'], 'Outlander':['Pathfinder', 'Reclaimer', 'Recon Scout', 'T.E.D.D Shot', 'Trailblazer'] } def kitEmbed(self, ctx, amount, exp): embed = discord.Embed(color=discord.Color.from_hsv(random.random(), 1, 1)) embed.set_author(name=f'{ctx.command.name.capitalize()} Kit', icon_url=ctx.author.avatar_url) embed.add_field(name='Rewards', value=f'Wood: **+{round(amount)}**<:Wood:585780105696116736>\n Experience: **+{round(exp)}**<:BattlePass:585742444092456960>') embed.set_footer(text='Type `.cd` to check your kit cooldowns') return embed @commands.command(aliases=['dl']) @has_registered() @is_economy_channel() async def daily(self, ctx): amount = 150 exp = 200 try: userData = self.records.find({'userID':str(ctx.author.id)}) for x in userData: timeData = str(x['Kits']['Daily']) woodData = float(x['Currencies']['Wood']) expData = float(x['Profile']['Experience']) jobData = str(x['RPG']['Job']) classData = str(x['RPG']['Class']) # Converts date from database to compare availableTime = datetime.datetime.strptime(timeData, '%Y-%m-%d %H:%M:%S.%f%z') # Current Time currentTime = datetime.datetime.now(tz=pytz.timezone('Asia/Singapore')) # Current Time in seconds if currentTime > availableTime: # Use this format to update database formatTime = (datetime.datetime.now(tz=pytz.timezone('Asia/Singapore')) + datetime.timedelta(days=1)).strftime('%Y-%m-%d %H:%M:%S.%f%z') jobAdvancementBonus = self.classDict[classData].index(jobData) + 1 if jobData != 'None' else 1 if jobData != 'None' else 1 kitAmount = amount*jobAdvancementBonus if classData else amount kitExp = exp*jobAdvancementBonus if classData else exp woodData += kitAmount expData += kitExp dataUpdate = { 'Kits.Daily':formatTime, 'Currencies.Wood':woodData, 'Profile.Experience':expData } update = self.records.update_one({'userID':str(ctx.author.id)}, {'$set':dataUpdate}) await level_up(ctx) await ctx.send(ctx.author.mention) embed = self.kitEmbed(ctx, kitAmount, kitExp) return await ctx.send(embed=embed) else: eembed = errorembed(description=f'{ctx.author.mention} You are currently on cooldown. Type ``.cd`` to check your cooldowns.') return await ctx.send(embed=eembed) except Exception as e: print(e) # Use this format to update database formatTime = (datetime.datetime.now(tz=pytz.timezone('Asia/Singapore')) + datetime.timedelta(days=1)).strftime('%Y-%m-%d %H:%M:%S.%f%z') jobAdvancementBonus = self.classDict[classData].index(jobData) + 1 if jobData != 'None' else 1 kitAmount = amount*jobAdvancementBonus if classData else amount kitExp = exp*jobAdvancementBonus if classData else exp woodData += kitAmount expData += kitExp dataUpdate = { 'Kits.Daily':formatTime, 'Currencies.Wood':woodData, 'Profile.Experience':expData } update = self.records.update_one({'userID':str(ctx.author.id)}, {'$set':dataUpdate}) await level_up(ctx) await ctx.send(ctx.author.mention) embed = self.kitEmbed(ctx, kitAmount, kitExp) return await ctx.send(embed=embed) @commands.command(aliases=['wk']) @has_registered() @is_economy_channel() async def weekly(self, ctx): amount = 2000 exp = 3500 try: userData = self.records.find({'userID':str(ctx.author.id)}) for x in userData: timeData = str(x['Kits']['Weekly']) woodData = float(x['Currencies']['Wood']) expData = float(x['Profile']['Experience']) jobData = str(x['RPG']['Job']) classData = str(x['RPG']['Class']) # Converts date from database to compare availableTime = datetime.datetime.strptime(timeData, '%Y-%m-%d %H:%M:%S.%f%z') # Current Time currentTime = datetime.datetime.now(tz=pytz.timezone('Asia/Singapore')) # Current Time in seconds if currentTime > availableTime: # Use this format to update database formatTime = (datetime.datetime.now(tz=pytz.timezone('Asia/Singapore')) + datetime.timedelta(days=7)).strftime('%Y-%m-%d %H:%M:%S.%f%z') jobAdvancementBonus = self.classDict[classData].index(jobData) + 1 if jobData != 'None' else 1 kitAmount = amount*jobAdvancementBonus if classData else amount kitExp = exp*jobAdvancementBonus if classData else exp woodData += kitAmount expData += kitExp dataUpdate = { 'Kits.Weekly':formatTime, 'Currencies.Wood':woodData, 'Profile.Experience':expData } update = self.records.update_one({'userID':str(ctx.author.id)}, {'$set':dataUpdate}) await level_up(ctx) await ctx.send(ctx.author.mention) embed = self.kitEmbed(ctx, kitAmount, kitExp) return await ctx.send(embed=embed) else: eembed = errorembed(description=f'{ctx.author.mention} You are currently on cooldown. Type ``.cd`` to check your cooldowns.') return await ctx.send(embed=eembed) except: # Use this format to update database formatTime = (datetime.datetime.now(tz=pytz.timezone('Asia/Singapore')) + datetime.timedelta(days=7)).strftime('%Y-%m-%d %H:%M:%S.%f%z') jobAdvancementBonus = self.classDict[classData].index(jobData) + 1 if jobData != 'None' else 1 kitAmount = amount*jobAdvancementBonus if classData else amount kitExp = exp*jobAdvancementBonus if classData else exp woodData += kitAmount expData += kitExp dataUpdate = { 'Kits.Weekly':formatTime, 'Currencies.Wood':woodData, 'Profile.Experience':expData } update = self.records.update_one({'userID':str(ctx.author.id)}, {'$set':dataUpdate}) await level_up(ctx) await ctx.send(ctx.author.mention) embed = self.kitEmbed(ctx, kitAmount, kitExp) return await ctx.send(embed=embed) @commands.command(aliases=['sp']) @has_registered() @is_economy_channel() @commands.has_any_role('Titan Donator', 'Mystic Donator', 'Immortal Donator') async def supporter(self, ctx): amount = 350 exp = 500 try: userData = self.records.find({'userID':str(ctx.author.id)}) for x in userData: timeData = str(x['Kits']['Supporter']) woodData = float(x['Currencies']['Wood']) expData = float(x['Profile']['Experience']) jobData = str(x['RPG']['Job']) classData = str(x['RPG']['Class']) # Converts date from database to compare availableTime = datetime.datetime.strptime(timeData, '%Y-%m-%d %H:%M:%S.%f%z') # Current Time currentTime = datetime.datetime.now(tz=pytz.timezone('Asia/Singapore')) # Current Time in seconds if currentTime > availableTime: # Use this format to update database formatTime = (datetime.datetime.now(tz=pytz.timezone('Asia/Singapore')) + datetime.timedelta(days=1)).strftime('%Y-%m-%d %H:%M:%S.%f%z') jobAdvancementBonus = self.classDict[classData].index(jobData) + 1 if jobData != 'None' else 1 kitAmount = amount*jobAdvancementBonus if classData else amount kitExp = exp*jobAdvancementBonus if classData else exp woodData += kitAmount expData += kitExp dataUpdate = { 'Kits.Supporter':formatTime, 'Currencies.Wood':woodData, 'Profile.Experience':expData } update = self.records.update_one({'userID':str(ctx.author.id)}, {'$set':dataUpdate}) await level_up(ctx) await ctx.send(ctx.author.mention) embed = self.kitEmbed(ctx, kitAmount, kitExp) return await ctx.send(embed=embed) else: eembed = errorembed(description=f'{ctx.author.mention} You are currently on cooldown. Type ``.cd`` to check your cooldowns.') return await ctx.send(embed=eembed) except: # Use this format to update database formatTime = (datetime.datetime.now(tz=pytz.timezone('Asia/Singapore')) + datetime.timedelta(days=1)).strftime('%Y-%m-%d %H:%M:%S.%f%z') jobAdvancementBonus = self.classDict[classData].index(jobData) + 1 if jobData != 'None' else 1 kitAmount = amount*jobAdvancementBonus if classData else amount kitExp = exp*jobAdvancementBonus if classData else exp woodData += kitAmount expData += kitExp dataUpdate = { 'Kits.Supporter':formatTime, 'Currencies.Wood':woodData, 'Profile.Experience':expData } update = self.records.update_one({'userID':str(ctx.author.id)}, {'$set':dataUpdate}) await level_up(ctx) await ctx.send(ctx.author.mention) embed = self.kitEmbed(ctx, kitAmount, kitExp) return await ctx.send(embed=embed) @supporter.error async def supporter_error(self, ctx, error): if isinstance(error, commands.MissingAnyRole): supporterRole = discord.utils.get(ctx.message.guild.roles, name='Titan Donator').mention eembed = errorembed(description=f'{ctx.author.mention} Want to claim this **Supporter** kit? You have to minimally be a {supporterRole}') return await ctx.send(embed=eembed) @commands.command(aliases=['nt']) @has_registered() @is_economy_channel() @commands.has_any_role('Nitro Booster') async def nitro(self, ctx): amount = 250 exp = 400 try: userData = self.records.find({'userID':str(ctx.author.id)}) for x in userData: timeData = str(x['Kits']['Nitro']) woodData = float(x['Currencies']['Wood']) expData = float(x['Profile']['Experience']) jobData = str(x['RPG']['Job']) classData = str(x['RPG']['Class']) # Converts date from database to compare availableTime = datetime.datetime.strptime(timeData, '%Y-%m-%d %H:%M:%S.%f%z') # Current Time currentTime = datetime.datetime.now(tz=pytz.timezone('Asia/Singapore')) # Current Time in seconds if currentTime > availableTime: # Use this format to update database formatTime = (datetime.datetime.now(tz=pytz.timezone('Asia/Singapore')) + datetime.timedelta(days=1)).strftime('%Y-%m-%d %H:%M:%S.%f%z') jobAdvancementBonus = self.classDict[classData].index(jobData) + 1 if jobData != 'None' else 1 kitAmount = amount*jobAdvancementBonus if classData else amount kitExp = exp*jobAdvancementBonus if classData else exp woodData += kitAmount expData += kitExp dataUpdate = { 'Kits.Nitro':formatTime, 'Currencies.Wood':woodData, 'Profile.Experience':expData } update = self.records.update_one({'userID':str(ctx.author.id)}, {'$set':dataUpdate}) await level_up(ctx) await ctx.send(ctx.author.mention) embed = self.kitEmbed(ctx, kitAmount, kitExp) return await ctx.send(embed=embed) else: eembed = errorembed(description=f'{ctx.author.mention} You are currently on cooldown. Type ``.cd`` to check your cooldowns.') return await ctx.send(embed=eembed) except: # Use this format to update database formatTime = (datetime.datetime.now(tz=pytz.timezone('Asia/Singapore')) + datetime.timedelta(days=1)).strftime('%Y-%m-%d %H:%M:%S.%f%z') jobAdvancementBonus = self.classDict[classData].index(jobData) + 1 if jobData != 'None' else 1 kitAmount = amount*jobAdvancementBonus if classData else amount kitExp = exp*jobAdvancementBonus if classData else exp woodData += kitAmount expData += kitExp dataUpdate = { 'Kits.Nitro':formatTime, 'Currencies.Wood':woodData, 'Profile.Experience':expData } update = self.records.update_one({'userID':str(ctx.author.id)}, {'$set':dataUpdate}) await level_up(ctx) await ctx.send(ctx.author.mention) embed = self.kitEmbed(ctx, kitAmount, kitExp) return await ctx.send(embed=embed) @nitro.error async def nitro_error(self, ctx, error): if isinstance(error, commands.MissingAnyRole): nitroRole = discord.utils.get(ctx.message.guild.roles, name='Nitro Booster').mention eembed = errorembed(description=f'{ctx.author.mention} Want to claim this **Nitro** kit? You have to be a {nitroRole}') return await ctx.send(embed=eembed) @commands.command(aliases=['v']) @has_registered() @is_economy_channel() async def vote(self, ctx, user:discord.User): if user == ctx.author: eembed = errorembed(description=f"{ctx.author.mention} You can't upvote yourself. Good try though! <:PepeHugs:541252355518365718>") return await ctx.send(embed=eembed) # Checks if User is inside Database try: userList = [x['userID'] for x in self.records.find({})] if str(ctx.author.id) not in userList: eembed = errorembed(description=f'{ctx.author.mention} You are currently not registered yet. Kindly type ``.register`` to be registered.') return await ctx.send(embed=eembed) elif str(user.id) not in userList: eembed = errorembed(description=f'{ctx.author.mention} {user.mention} has not registered yet.') return await ctx.send(embed=eembed) except: pass try: userData = self.records.find({'userID':str(ctx.author.id)}) for x in userData: voteData = str(x['Kits']['Votes']) # Converts date from database to compare availableTime = datetime.datetime.strptime(voteData, '%Y-%m-%d %H:%M:%S.%f%z') # Current Time currentTime = datetime.datetime.now(tz=pytz.timezone('Asia/Singapore')) # Current Time in seconds if currentTime > availableTime: userData = self.records.find({'userID':str(user.id)}) for x in userData: repData = int(x['Profile']['Rep']) repData += 1 dataUpdate = { 'Profile.Rep':repData } update = self.records.update_one({'userID':str(user.id)}, {'$set':dataUpdate}) # Use this format to update database formatTime = (datetime.datetime.now(tz=pytz.timezone('Asia/Singapore')) + datetime.timedelta(days=1)).strftime('%Y-%m-%d %H:%M:%S.%f%z') dataUpdate = { 'Kits.Votes':formatTime } update = self.records.update_one({'userID':str(ctx.author.id)}, {'$set':dataUpdate}) pembed = passembed(description=f'{ctx.author.mention} You have successfully added reputation for {user.mention}.') return await ctx.send(embed=pembed) else: eembed = errorembed(description=f'{ctx.author.mention} You are currently on cooldown. Type ``.cd`` to check your cooldowns.') return await ctx.send(embed=eembed) except Exception: userData = self.records.find({'userID':str(user.id)}) for x in userData: repData = int(x['Profile']['Rep']) repData += 1 dataUpdate = { 'Profile.Rep':repData } update = self.records.update_one({'userID':str(user.id)}, {'$set':dataUpdate}) # Use this format to update database formatTime = (datetime.datetime.now(tz=pytz.timezone('Asia/Singapore')) + datetime.timedelta(days=1)).strftime('%Y-%m-%d %H:%M:%S.%f%z') dataUpdate = { 'Kits.Votes':formatTime } update = self.records.update_one({'userID':str(ctx.author.id)}, {'$set':dataUpdate}) pembed = passembed(description=f'{ctx.author.mention} You have successfully added reputation for {user.mention}.') return await ctx.send(embed=pembed) @vote.error async def vote_error(self, ctx, error): if isinstance(error, commands.MissingRequiredArgument): eembed = errorembed(description='Kindly indicate the User that you wish to upvote.') return await ctx.send(embed=eembed) @commands.command(aliases=['cd']) @has_registered() @is_economy_channel() async def cooldown(self, ctx): userData = self.records.find({'userID':str(ctx.author.id)}) for x in userData: dailyData = str(x['Kits']['Daily']) weeklyData = str(x['Kits']['Weekly']) supporterData = str(x['Kits']['Supporter']) nitroData = str(x['Kits']['Nitro']) voteData = str(x['Kits']['Votes']) # Daily Cooldown try: # Usable Time timeFormat = datetime.datetime.strptime(dailyData, '%Y-%m-%d %H:%M:%S.%f%z') timeInSeconds = time.mktime(timeFormat.timetuple()) # Current Time timeNow = datetime.datetime.now(tz=pytz.timezone('Asia/Singapore')) timeNowInSeconds = time.mktime(timeNow.timetuple()) # Before rounding off cooldownHours = ((timeInSeconds - timeNowInSeconds)/60)/60 coolDownMins = float('.' + str(round(((timeInSeconds - timeNowInSeconds)/60)/60, 3)).split('.')[1])*60 if int(cooldownHours) < 0: dailyCooldown = '• You have not claimed your **Daily** kit yet.' else: # After rounding off coolDownMins = round(coolDownMins) coolDownHours = str(cooldownHours).split('.')[0] dailyCooldown = '• ' + str(coolDownHours) + 'H ' + str(coolDownMins) + 'M' except Exception: dailyCooldown = '• You have not claimed your **Daily** kit yet.' # Weekly Cooldown try: # Usable Time timeFormat = datetime.datetime.strptime(weeklyData, '%Y-%m-%d %H:%M:%S.%f%z') timeInSeconds = time.mktime(timeFormat.timetuple()) # Current Time timeNow = datetime.datetime.now(tz=pytz.timezone('Asia/Singapore')) timeNowInSeconds = time.mktime(timeNow.timetuple()) # Before rounding off coolDownHours = float('.' + str(round((((timeInSeconds - timeNowInSeconds)/60)/60)/24, 4)).split('.')[1])*24 coolDownDays = (((timeInSeconds - timeNowInSeconds)/60)/60)/24 if int(coolDownDays) < 0: weeklyCooldown = '• You have not claimed your **Weekly** kit yet.' else: # After rounding off coolDownHours = round(coolDownHours) coolDownDays = str(coolDownDays).split('.')[0] weeklyCooldown = '• ' + str(coolDownDays) + 'D ' + str(coolDownHours) + 'H' except Exception: weeklyCooldown = '• You have not claimed your **Weekly** kit yet.' # Supporter Cooldown try: # Usable Time timeFormat = datetime.datetime.strptime(supporterData, '%Y-%m-%d %H:%M:%S.%f%z') timeInSeconds = time.mktime(timeFormat.timetuple()) # Current Time timeNow = datetime.datetime.now(tz=pytz.timezone('Asia/Singapore')) timeNowInSeconds = time.mktime(timeNow.timetuple()) # Before rounding off coolDownMins = float('.' + str(round(((timeInSeconds - timeNowInSeconds)/60)/60, 3)).split('.')[1])*60 cooldownHours = ((timeInSeconds - timeNowInSeconds)/60)/60 if int(cooldownHours) < 0: supporterCooldown = '• You have not claimed your **Supporter** kit yet.' else: # After rounding off coolDownMins = round(coolDownMins) coolDownHours = str(cooldownHours).split('.')[0] supporterCooldown = '• ' + str(coolDownHours) + 'H ' + str(coolDownMins) + 'M' except Exception: supporterCooldown = '• You have not claimed your **Supporter** kit yet.' # Nitro Cooldown try: # Usable Time timeFormat = datetime.datetime.strptime(nitroData, '%Y-%m-%d %H:%M:%S.%f%z') timeInSeconds = time.mktime(timeFormat.timetuple()) # Current Time timeNow = datetime.datetime.now(tz=pytz.timezone('Asia/Singapore')) timeNowInSeconds = time.mktime(timeNow.timetuple()) # Before rounding off coolDownMins = float('.' + str(round(((timeInSeconds - timeNowInSeconds)/60)/60, 3)).split('.')[1])*60 cooldownHours = ((timeInSeconds - timeNowInSeconds)/60)/60 if int(cooldownHours) < 0: nitroCooldown = '• You have not claimed your **Nitro** kit yet.' else: # After rounding off coolDownMins = round(coolDownMins) coolDownHours = str(cooldownHours).split('.')[0] nitroCooldown = '• ' + str(coolDownHours) + 'H ' + str(coolDownMins) + 'M' except Exception: nitroCooldown = '• You have not claimed your **Nitro** kit yet.' # Vote Cooldown try: # Usable Time timeFormat = datetime.datetime.strptime(voteData, '%Y-%m-%d %H:%M:%S.%f%z') timeInSeconds = time.mktime(timeFormat.timetuple()) # Current Time timeNow = datetime.datetime.now(tz=pytz.timezone('Asia/Singapore')) timeNowInSeconds = time.mktime(timeNow.timetuple()) # Before rounding off coolDownMins = float('.' + str(round(((timeInSeconds - timeNowInSeconds)/60)/60, 3)).split('.')[1])*60 cooldownHours = ((timeInSeconds - timeNowInSeconds)/60)/60 if int(cooldownHours) < 0: voteCooldown = '• You have not **voted** anyone today yet.' else: # After rounding off coolDownMins = round(coolDownMins) coolDownHours = str(cooldownHours).split('.')[0] voteCooldown = '• ' + str(coolDownHours) + 'H ' + str(coolDownMins) + 'M' except Exception: voteCooldown = '• You have not **voted** anyone today yet.' # Embed Cooldown Message embed = discord.Embed(title='Kit Cooldowns', color=discord.Color.from_hsv(random.random(), 1, 1), timestamp=datetime.datetime.now(tz=pytz.timezone('Asia/Singapore'))) embed.set_author(name=ctx.author.name, icon_url=ctx.author.avatar_url) embed.add_field(name='⏰ Daily', value=dailyCooldown) embed.add_field(name='📅 Weekly', value=weeklyCooldown) embed.add_field(name='💎 Supporter', value=supporterCooldown) embed.add_field(name='⚡ Nitro', value=nitroCooldown) embed.add_field(name='🌟 Votes', value=voteCooldown) embed.set_footer(text=ctx.guild.name, icon_url=ctx.guild.icon_url) await ctx.send(embed=embed) # Adding the cog to main script def setup(bot): bot.add_cog(Kits(bot))

47.401089

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1

0

null

0

7

bc91fd856ccf6f6f9af6b5ea68da15419f17a37d

11,860

py

Python

cm_lex/Frames.py

UKPLab/acl2021-metaphor-generation-conceptual

2db0c927ad2e89792030dbdcf0eddd78e18d8e85

[ "Apache-2.0" ]

6

2021-05-25T13:15:13.000Z

2022-01-05T06:15:26.000Z

cm_lex/Frames.py

UKPLab/acl2021-metaphor-generation-conceptual

2db0c927ad2e89792030dbdcf0eddd78e18d8e85

[ "Apache-2.0" ]

3

2021-07-25T23:17:29.000Z

2021-09-26T14:00:23.000Z

cm_lex/Frames.py

UKPLab/acl2021-metaphor-generation-conceptual

2db0c927ad2e89792030dbdcf0eddd78e18d8e85

[ "Apache-2.0" ]

1

2021-09-07T12:03:18.000Z

""" Set of frame names """ frames = {'Emergency_fire', 'Being_in_effect', 'Continued_state_of_affairs', 'Taking', 'Plants', 'Traversing', 'Representative', 'Size', 'Stinginess', 'Becoming_a_member', 'Run_risk', 'Trendiness', 'Certainty', 'Motion', 'Measure_mass', 'Emotions_by_stimulus', 'Fleeing', 'Being_wet', 'Sign', 'Rope_manipulation', 'Repel', 'Departing', 'Volubility', 'Contingency', 'Surviving', 'Left_to_do', 'Protest', 'Medical_professionals', 'Exporting', 'Firefighting', 'Scarcity', 'Emotions_of_mental_activity', 'Cognitive_connection', 'Relational_natural_features', 'Interior_profile_relation', 'Type', 'Becoming_aware', 'Part_ordered_segments', 'First_rank', 'Conferring_benefit', 'Being_in_control', 'Recovery', 'Color', 'Identity', 'Telling', 'Strictness', 'Limitation', 'Coming_up_with', 'Partitive', 'Commutative_statement', 'Activity_ready_state', 'Vocalizations', 'Evoking', 'Surrounding', 'Quantity', 'Activity_resume', 'Dead_or_alive', 'Subjective_influence', 'Becoming_attached', 'Contrition', 'Institutions', 'Duplication', 'System_complexity', 'Enforcing', 'Businesses', 'Reveal_secret', 'Endangering', 'Waking_up', 'Jury_deliberation', 'Sending', 'Text_creation', 'Operate_vehicle', 'Change_post-state', 'Optical_image', 'Social_event', 'Installing', 'Fire_burning', 'Connectors', 'Economy', 'Personal_relationship', 'Filling', 'Amounting_to', 'Possibility', 'Possession', 'Thriving', 'Storing', 'Version_sequence', 'Accoutrements', 'Execute_plan', 'Completeness', 'Documents', 'Cause_to_end', 'Destroying', 'Rejuvenation', 'Manipulate_into_doing', 'Food_gathering', 'Origin', 'Disgraceful_situation', 'State_continue', 'Summarizing', 'Remainder', 'Terrorism', 'Weather', 'Suitability', 'Ineffability', 'Manufacturing', 'Commerce_scenario', 'Trust', 'Residence', 'Absorb_heat', 'Replacing', 'Soaking_up', 'Dynamism', 'Rashness', 'Hunting', 'Electricity', 'Gradable_proximity', 'Change_of_leadership', 'Sharing', 'Inspecting', 'Process_end', 'Bringing', 'Expend_resource', 'Feigning', 'Foreign_or_domestic_country', 'Abundance', 'Candidness', 'Measure_volume', 'Law_enforcement_agency', 'Being_obligatory', 'Communication_manner', 'Ranked_expectation', 'Preference', 'Noise_makers', 'Body_movement', 'Measure_by_action', 'People_by_residence', 'Perception_active', 'Lending', 'Gusto', 'Just_found_out', 'Leadership', 'Remembering_experience', 'Social_interaction_evaluation', 'Simple_name', 'Judgment', 'Destiny', 'Emotion_directed', 'Aiming', 'Performing_arts', 'Locative_relation', 'Inhibit_movement', 'Obscurity', 'Prohibiting_or_licensing', 'Likelihood', 'Reading_perception', 'Cause_to_make_progress', 'Grinding', 'Difficulty', 'Motion_directional', 'People_by_age', 'Memory', 'Self_control', 'Conduct', 'Body_description_holistic', 'Activity_stop', 'Abounding_with', 'Sex', 'Color_qualities', 'People_by_origin', 'Path_traveled', 'Compliance', 'Physical_artworks', 'Occupy_rank', 'Being_in_category', 'Diversity', 'Coming_to_believe', 'Rewards_and_punishments', 'Execution', 'Supporting', 'Triggering', 'Communication_means', 'Process_continue', 'Aggregate', 'Taking_time', 'Typicality', 'Sacrificing_for', 'Publishing', 'Having_or_lacking_access', 'Idiosyncrasy', 'Reasoning', 'Evaluative_comparison', 'Commercial_transaction', 'Lively_place', 'Weapon', 'Temperature', 'Releasing', 'Breaking_out_captive', 'Chemical_potency', 'Isolated_places', 'Legal_rulings', 'Word_relations', 'Success_or_failure', 'Quantified_mass', 'Medical_specialties', 'Locale', 'Change_of_consistency', 'Intoxicants', 'Sent_items', 'Earnings_and_losses', 'Cause_emotion', 'Wagering', 'Judicial_body', 'Desiring', 'Scrutiny', 'Cause_to_perceive', 'Pattern', 'Craft', 'Communication_response', 'Arriving', 'Distinctiveness', 'Desirable_event', 'Chatting', 'Alternatives', 'Separating', 'Experiencer_obj', 'Expressing_publicly', 'Level_of_force_exertion', 'Frequency', 'Non-commutative_statement', 'Rotting', 'Being_in_captivity', 'Cause_change', 'Arranging', 'Activity_ongoing', 'Level_of_force_resistance', 'Sociability', 'Losing_someone', 'Undergo_transformation', 'Event', 'Patrolling', 'Increment', 'Correctness', 'Daring', 'Evidence', 'Chemical-sense_description', 'Recording', 'Being_up_to_it', 'Political_locales', 'Undergoing', 'Change_posture', 'Text', 'Existence', 'Killing', 'Improvement_or_decline', 'Questioning', 'Control', 'Front_for', 'Connecting_architecture', 'Custom', 'Coincidence', 'Renunciation', 'Shopping', 'Affirm_or_deny', 'Ground_up', 'Negation', 'Means', 'Misdeed', 'Putting_out_fire', 'Part_whole', 'Practice', 'Natural_features', 'Fields', 'Removing', 'Colonization', 'Age', 'Secrecy_status', 'Translating', 'Beat_opponent', 'Vehicle', 'Health_response', 'Placing', 'Sentencing', 'Being_attached', 'Becoming_dry', 'Deny_or_grant_permission', 'Preventing_or_letting', 'Familiarity', 'Part_piece', 'Part_inner_outer', 'Emptying', 'Omen', 'Agriculture', 'Dressing', 'Infecting', 'Armor', 'Commerce_sell', 'Apply_heat', 'Distributed_position', 'Notification_of_charges', 'Locale_by_use', 'Hunting_success_or_failure', 'Sign_agreement', 'Statement', 'Finish_competition', 'Body_mark', 'Concessive', 'Imitating', 'Extreme_value', 'Mathematical_relationship', 'Revenge', 'Timetable', 'Probability', 'Unattributed_information', 'Linguistic_meaning', 'Purpose', 'Commitment', 'Heralding', 'Hedging', 'Planting', 'Activity_pause', 'Attack', 'Temporal_subregion', 'Cause_to_start', 'Building', 'Heat_potential', 'Preliminaries', 'Estimating', 'Speak_on_topic', '_', 'Biological_urge', 'Law', 'Substance', 'Make_noise', 'Terms_of_agreement', 'Choosing', 'Artificiality', 'Satisfying', 'Measure_linear_extent', 'Locating', 'Reforming_a_system', 'Sounds', 'Ordinal_numbers', 'Make_agreement_on_action', 'Locale_by_event', 'Besieging', 'Shoot_projectiles', 'Frugality', 'Delivery', 'Morality_evaluation', 'Membership', 'Cause_to_resume', 'Capability', 'Part_orientational', 'Alliance', 'Dimension', 'Project', 'State_of_entity', 'Board_vehicle', 'Explaining_the_facts', 'Becoming', 'Being_questionable', 'Fall_asleep', 'Achieving_first', 'Network', 'Cause_to_fragment', 'Experience_bodily_harm', 'Passing', 'Response', 'Manipulate_into_shape', 'Warning', 'Being_born', 'Cause_to_experience', 'Obviousness', 'Attempt_suasion', 'Toxic_substance', 'Emotion_active', 'Sufficiency', 'Commonality', 'Ammunition', 'Change_event_duration', 'Giving', 'Make_cognitive_connection', 'Appellations', 'Fairness_evaluation', 'Wealthiness', 'Deception_success', 'Cure', 'Damaging', 'Experimentation', 'Buildings', 'Expensiveness', 'Arraignment', 'Time_vector', 'Biological_classification', 'Operational_testing', 'Rebellion', 'Desirability', 'Theft', 'Attempt', 'Fame', 'Animals', 'Causation', 'Aesthetics', 'Predicting', 'Opinion', 'Cogitation', 'Come_together', 'Performers', 'Employing', 'Ingredients', 'Needing', 'Cause_change_of_consistency', 'Renting', 'Excreting', 'Guilt_or_innocence', 'Taking_captive', 'Gesture', 'Verification', 'Protecting', 'Shapes', 'Punctual_perception', 'Accomplishment', 'Commerce_buy', 'Amalgamation', 'Feeling', 'Labeling', 'Create_physical_artwork', 'Degree', 'Impression', 'Becoming_silent', 'Give_impression', 'Process_start', 'Objective_influence', 'Being_necessary', 'Resolve_problem', 'Sharpness', 'Offering', 'Adopt_selection', 'Partiality', 'Activity_finish', 'Cause_change_of_position_on_a_scale', 'Forging', 'Indigenous_origin', 'Rite', 'Competition', 'Body_parts', 'Boundary', 'Social_desirability', 'Imprisonment', 'Expertise', 'Suasion', 'Judgment_direct_address', 'Meet_specifications', 'Manipulation', 'Mental_stimulus_stimulus_focus', 'Luck', 'Identicality', 'Used_up', 'Processing_materials', 'Participation', 'Active_substance', 'Quitting_a_place', 'Product_line', 'Being_located', 'Hostile_encounter', 'Public_services', 'Precipitation', 'Military', 'Intentionally_create', 'Catastrophe', 'Building_subparts', 'Presence', 'Change_event_time', 'Range', 'Roadways', 'Commerce_pay', 'Judgment_communication', 'Exchange', 'Go_into_shape', 'Actually_occurring_entity', 'Architectural_part', 'Position_on_a_scale', 'Taking_sides', 'Duration_relation', 'Path_shape', 'Similarity', 'Conquering', 'Fighting_activity', 'Travel', 'Kinship', 'Attending', 'People', 'Store', 'Exemplar', 'Direction', 'Hiding_objects', 'Prison', 'Vehicle_subpart', 'People_by_morality', 'Relative_time', 'Required_event', 'Addiction', 'Moving_in_place', 'Subordinates_and_superiors', 'Ingestion', 'Committing_crime', 'Preserving', 'Transfer', 'Money', 'Emphasizing', 'People_by_jurisdiction', 'Gathering_up', 'Cause_motion', 'Negative_conditional', 'Gizmo', 'Precariousness', 'Bearing_arms', 'Using', 'Collaboration', 'Perception_experience', 'Sole_instance', 'Submitting_documents', 'Have_associated', 'Posing_as', 'Be_in_agreement_on_action', 'Scope', 'Mass_motion', 'People_by_religion', 'Clothing_parts', 'Surrendering_possession', 'Cause_harm', 'Ingest_substance', 'Activity_start', 'Operating_a_system', 'Entity', 'Forming_relationships', 'Motion_noise', 'Eclipse', 'Smuggling', 'Cause_expansion', 'Progression', 'Willingness', 'Margin_of_resolution', 'Light_movement', 'Interrupt_process', 'Adjacency', 'Cotheme', 'Activity_done_state', 'Cardinal_numbers', 'Judgment_of_intensity', 'Sleep', 'Wearing', 'Corporal_punishment', 'Attitude_description', 'Activity_prepare', 'Dominate_situation', 'Goal', 'Complaining', 'Measure_area', 'Cause_change_of_strength', 'Instance', 'Information', 'Erasing', 'Deserving', 'Discussion', 'Research', 'Mining', 'Undergo_change', 'Being_named', 'Getting', 'Records', 'Being_employed', 'Clothing', 'System', 'Attaching', 'Legality', 'Artifact', 'Visiting', 'Thermodynamic_phase', 'Temporal_collocation', 'Awareness', 'Thwarting', 'Successful_action', 'Name_conferral', 'Trap', 'Catching_fire', 'Death', 'Defending', 'Adducing', 'Categorization', 'Reliance', 'Piracy', 'Importing', 'Being_obligated', 'Experiencer_focus', 'Fluidic_motion', 'Expectation', 'Prevent_or_allow_possession', 'Relation', 'Endeavor_failure', 'Criminal_investigation', 'Kidnapping', 'Education_teaching', 'Differentiation', 'Individual_history', 'Request', 'Hindering', 'Regard', 'Medical_instruments', 'Hospitality', 'Responsibility', 'Stimulus_focus', 'Degree_of_processing', 'Containers', 'Temporal_pattern', 'Measurable_attributes', 'Importance', 'Giving_in', 'Reason', 'Impact', 'Avoiding', 'Grasp', 'Leaving_traces', 'Self_motion', 'Food', 'Agree_or_refuse_to_act', 'Change_resistance', 'Imposing_obligation', 'Topic', 'People_by_vocation', 'Deciding', 'Surpassing', 'Duration_description', 'Intentionally_act', 'Openness', 'Be_on_alert', 'Waiting', 'Sound_level', 'Cause_to_move_in_place', 'Forgiveness', 'Quarreling', 'Proportional_quantity', 'Rescuing', 'Capacity', 'Mental_property', 'Simultaneity', 'Member_of_military', 'Dispersal', 'Reporting', 'Firing', 'Calendric_unit', 'Appointing', 'Usefulness', 'Setting_fire', 'Event_instance', 'Assessing', 'Organization', 'Proper_reference', 'Reserving', 'Communicate_categorization', 'Predicament', 'Risky_situation', 'Assistance', 'Sound_movement', 'Guest_and_host', 'Posture', 'Performers_and_roles', 'Prominence', 'Change_position_on_a_scale', 'Tolerating', 'Breaking_off', 'Being_at_risk', 'Inclusion', 'Biological_area', 'Hair_configuration', 'Change_of_phase', 'Presentation_of_mitigation', 'Opportunity', 'Proportion', 'Invading', 'Receiving', 'Being_operational', 'Rate_description', 'Medical_conditions', 'Cause_to_make_noise', 'Location_of_light', 'Encoding', 'Breathing', 'Claim_ownership', 'Contacting', 'Spatial_contact', 'Rest', 'Change_of_temperature', 'Coming_to_be', 'Respond_to_proposal', 'Attention', 'Process', 'Non-gradable_proximity', 'Supply', 'Accompaniment', 'Facial_expression', 'Sensation', 'Seeking_to_achieve', 'Directional_locative_relation', 'Team', 'Source_of_getting', 'Verdict', 'Stage_of_progress', 'Intentional_traversing'}

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1

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1

0

7

bcb09e7320aa41ff74b4f36b5ecccb2401f053c0

43,097

bzl

Python

dotnet/private/stdlib/2.1.502-runtime.bzl

samhowes/rules_dotnet

1a7e62866cdc03748fe4c9817b49108513af4ffd

[ "Apache-2.0" ]

1

2018-07-04T19:49:53.000Z

dotnet/private/stdlib/2.1.502-runtime.bzl

tomaszstrejczek/rules_dotnet

2192d6810674c7a836f66b8ee90f420cfe1ff261

[ "Apache-2.0" ]

1

2018-08-20T02:34:12.000Z

dotnet/private/stdlib/2.1.502-runtime.bzl

samhowes/rules_dotnet

1a7e62866cdc03748fe4c9817b49108513af4ffd

[ "Apache-2.0" ]

1

2018-08-03T03:31:00.000Z

"Define stdlibs" load("@io_bazel_rules_dotnet//dotnet/private:rules/stdlib.bzl", "core_stdlib_internal") load("@io_bazel_rules_dotnet//dotnet/private:rules/libraryset.bzl", "core_libraryset") def define_runtime(): "Declares stdlibs" core_stdlib_internal( name = "microsoft.win32.registry.dll", version = "4.1.1.0", ref = ":core/shared/Microsoft.NETCore.App/2.1.6/Microsoft.Win32.Registry.dll", stdlib_path = ":core/shared/Microsoft.NETCore.App/2.1.6/Microsoft.Win32.Registry.dll", deps = [ ":system.runtime.dll", ":system.resources.resourcemanager.dll", ":system.runtime.interopservices.dll", ":system.runtime.extensions.dll", ":system.security.accesscontrol.dll", ":system.security.principal.windows.dll", ":system.collections.dll", ":system.buffers.dll", ":system.memory.dll", ], ) core_stdlib_internal( name = "sos.netcore.dll", version = "1.0.0.0", ref = ":core/shared/Microsoft.NETCore.App/2.1.6/SOS.NETCore.dll", stdlib_path = ":core/shared/Microsoft.NETCore.App/2.1.6/SOS.NETCore.dll", deps = [ ":system.runtime.dll", ":system.runtime.interopservices.dll", ":system.reflection.metadata.dll", ":system.collections.dll", ":system.io.dll", ":system.collections.immutable.dll", ":system.diagnostics.debug.dll", ":system.runtime.extensions.dll", ":system.io.filesystem.dll", ], ) core_stdlib_internal( name = "system.io.filesystem.accesscontrol.dll", version = "4.0.3.0", ref = ":core/shared/Microsoft.NETCore.App/2.1.6/System.IO.FileSystem.AccessControl.dll", stdlib_path = ":core/shared/Microsoft.NETCore.App/2.1.6/System.IO.FileSystem.AccessControl.dll", deps = [ ":system.runtime.dll", ":system.resources.resourcemanager.dll", ":system.runtime.extensions.dll", ":system.io.filesystem.dll", ":system.security.accesscontrol.dll", ":system.security.principal.windows.dll", ":system.collections.nongeneric.dll", ], ) core_stdlib_internal( name = "system.io.pipes.accesscontrol.dll", version = "4.0.3.0", ref = ":core/shared/Microsoft.NETCore.App/2.1.6/System.IO.Pipes.AccessControl.dll", stdlib_path = ":core/shared/Microsoft.NETCore.App/2.1.6/System.IO.Pipes.AccessControl.dll", deps = [ ":system.runtime.dll", ":system.resources.resourcemanager.dll", ":system.io.pipes.dll", ], ) core_stdlib_internal( name = "system.private.corelib.dll", version = "4.0.0.0", ref = ":core/shared/Microsoft.NETCore.App/2.1.6/System.Private.CoreLib.dll", stdlib_path = ":core/shared/Microsoft.NETCore.App/2.1.6/System.Private.CoreLib.dll", deps = [ ], ) core_stdlib_internal( name = "system.private.datacontractserialization.dll", version = "4.1.4.0", ref = ":core/shared/Microsoft.NETCore.App/2.1.6/System.Private.DataContractSerialization.dll", stdlib_path = ":core/shared/Microsoft.NETCore.App/2.1.6/System.Private.DataContractSerialization.dll", deps = [ ":system.runtime.dll", ":system.resources.resourcemanager.dll", ":system.runtime.extensions.dll", ":system.xml.readerwriter.dll", ":system.text.encoding.extensions.dll", ":system.threading.tasks.dll", ":system.diagnostics.debug.dll", ":system.collections.dll", ":system.reflection.emit.lightweight.dll", ":system.reflection.emit.ilgeneration.dll", ":system.reflection.primitives.dll", ":system.runtime.serialization.primitives.dll", ":system.xml.xmlserializer.dll", ":system.collections.nongeneric.dll", ":system.runtime.serialization.formatters.dll", ":system.threading.dll", ":system.linq.dll", ":system.text.regularexpressions.dll", ":system.xml.xdocument.dll", ":system.collections.specialized.dll", ], ) core_stdlib_internal( name = "system.private.uri.dll", version = "4.0.5.0", ref = ":core/shared/Microsoft.NETCore.App/2.1.6/System.Private.Uri.dll", stdlib_path = ":core/shared/Microsoft.NETCore.App/2.1.6/System.Private.Uri.dll", deps = [ ":system.private.corelib.dll", ], ) core_stdlib_internal( name = "system.private.xml.dll", version = "4.0.1.0", ref = ":core/shared/Microsoft.NETCore.App/2.1.6/System.Private.Xml.dll", stdlib_path = ":core/shared/Microsoft.NETCore.App/2.1.6/System.Private.Xml.dll", deps = [ ":system.runtime.dll", ":system.resources.resourcemanager.dll", ":system.runtime.interopservices.dll", ":system.runtime.extensions.dll", ":system.collections.dll", ":system.diagnostics.debug.dll", ":system.security.cryptography.algorithms.dll", ":system.threading.tasks.dll", ":system.diagnostics.tracesource.dll", ":system.text.regularexpressions.dll", ":system.net.primitives.dll", ":system.net.requests.dll", ":system.text.encoding.extensions.dll", ":system.reflection.emit.dll", ":system.reflection.emit.ilgeneration.dll", ":system.collections.nongeneric.dll", ":system.reflection.primitives.dll", ":system.collections.specialized.dll", ":system.collections.concurrent.dll", ":system.linq.expressions.dll", ":system.threading.dll", ":system.diagnostics.tools.dll", ":system.reflection.emit.lightweight.dll", ":system.objectmodel.dll", ":system.memory.dll", ":system.threading.thread.dll", ":system.linq.dll", ":system.io.filesystem.dll", ], ) core_stdlib_internal( name = "system.private.xml.linq.dll", version = "4.0.1.0", ref = ":core/shared/Microsoft.NETCore.App/2.1.6/System.Private.Xml.Linq.dll", stdlib_path = ":core/shared/Microsoft.NETCore.App/2.1.6/System.Private.Xml.Linq.dll", deps = [ ":system.runtime.dll", ":system.resources.resourcemanager.dll", ":system.private.xml.dll", ":system.diagnostics.debug.dll", ":system.collections.dll", ":system.runtime.extensions.dll", ":system.diagnostics.tools.dll", ":system.threading.dll", ":system.threading.tasks.dll", ":system.linq.dll", ], ) core_stdlib_internal( name = "system.security.accesscontrol.dll", version = "4.1.1.0", ref = ":core/shared/Microsoft.NETCore.App/2.1.6/System.Security.AccessControl.dll", stdlib_path = ":core/shared/Microsoft.NETCore.App/2.1.6/System.Security.AccessControl.dll", deps = [ ":system.runtime.dll", ":system.resources.resourcemanager.dll", ":system.runtime.interopservices.dll", ":system.runtime.extensions.dll", ":system.security.principal.windows.dll", ":system.collections.dll", ":system.threading.dll", ":system.threading.thread.dll", ":system.collections.nongeneric.dll", ":microsoft.win32.primitives.dll", ], ) core_stdlib_internal( name = "system.security.cryptography.cng.dll", version = "4.3.1.0", ref = ":core/shared/Microsoft.NETCore.App/2.1.6/System.Security.Cryptography.Cng.dll", stdlib_path = ":core/shared/Microsoft.NETCore.App/2.1.6/System.Security.Cryptography.Cng.dll", deps = [ ":system.runtime.dll", ":system.resources.resourcemanager.dll", ":system.runtime.interopservices.dll", ":system.runtime.extensions.dll", ":system.security.cryptography.encoding.dll", ":system.security.cryptography.primitives.dll", ":system.security.cryptography.algorithms.dll", ":system.collections.concurrent.dll", ":system.buffers.dll", ":system.memory.dll", ], ) core_stdlib_internal( name = "system.security.cryptography.openssl.dll", version = "4.1.1.0", ref = ":core/shared/Microsoft.NETCore.App/2.1.6/System.Security.Cryptography.OpenSsl.dll", stdlib_path = ":core/shared/Microsoft.NETCore.App/2.1.6/System.Security.Cryptography.OpenSsl.dll", deps = [ ":system.runtime.dll", ":system.resources.resourcemanager.dll", ":system.runtime.interopservices.dll", ":system.runtime.extensions.dll", ":system.security.cryptography.algorithms.dll", ":system.security.cryptography.primitives.dll", ], ) core_stdlib_internal( name = "system.security.principal.windows.dll", version = "4.1.1.1", ref = ":core/shared/Microsoft.NETCore.App/2.1.6/System.Security.Principal.Windows.dll", stdlib_path = ":core/shared/Microsoft.NETCore.App/2.1.6/System.Security.Principal.Windows.dll", deps = [ ":system.runtime.dll", ":system.resources.resourcemanager.dll", ":system.runtime.interopservices.dll", ":system.runtime.extensions.dll", ":system.collections.dll", ":system.security.claims.dll", ":system.security.principal.dll", ":system.threading.dll", ":system.diagnostics.debug.dll", ":microsoft.win32.primitives.dll", ], ) core_libraryset( name = "runtime", deps = select({ "@bazel_tools//src/conditions:windows": [ ":microsoft.csharp.dll", ":microsoft.visualbasic.dll", ":microsoft.win32.primitives.dll", ":microsoft.win32.registry.dll", ":mscorlib.dll", ":netstandard.dll", ":sos.netcore.dll", ":system.appcontext.dll", ":system.buffers.dll", ":system.collections.concurrent.dll", ":system.collections.dll", ":system.collections.immutable.dll", ":system.collections.nongeneric.dll", ":system.collections.specialized.dll", ":system.componentmodel.annotations.dll", ":system.componentmodel.dataannotations.dll", ":system.componentmodel.dll", ":system.componentmodel.eventbasedasync.dll", ":system.componentmodel.primitives.dll", ":system.componentmodel.typeconverter.dll", ":system.configuration.dll", ":system.console.dll", ":system.core.dll", ":system.data.common.dll", ":system.data.dll", ":system.diagnostics.contracts.dll", ":system.diagnostics.debug.dll", ":system.diagnostics.diagnosticsource.dll", ":system.diagnostics.fileversioninfo.dll", ":system.diagnostics.process.dll", ":system.diagnostics.stacktrace.dll", ":system.diagnostics.textwritertracelistener.dll", ":system.diagnostics.tools.dll", ":system.diagnostics.tracesource.dll", ":system.diagnostics.tracing.dll", ":system.dll", ":system.drawing.dll", ":system.drawing.primitives.dll", ":system.dynamic.runtime.dll", ":system.globalization.calendars.dll", ":system.globalization.dll", ":system.globalization.extensions.dll", ":system.io.compression.brotli.dll", ":system.io.compression.dll", ":system.io.compression.filesystem.dll", ":system.io.compression.zipfile.dll", ":system.io.dll", ":system.io.filesystem.accesscontrol.dll", ":system.io.filesystem.dll", ":system.io.filesystem.driveinfo.dll", ":system.io.filesystem.primitives.dll", ":system.io.filesystem.watcher.dll", ":system.io.isolatedstorage.dll", ":system.io.memorymappedfiles.dll", ":system.io.pipes.accesscontrol.dll", ":system.io.pipes.dll", ":system.io.unmanagedmemorystream.dll", ":system.linq.dll", ":system.linq.expressions.dll", ":system.linq.parallel.dll", ":system.linq.queryable.dll", ":system.memory.dll", ":system.net.dll", ":system.net.http.dll", ":system.net.httplistener.dll", ":system.net.mail.dll", ":system.net.nameresolution.dll", ":system.net.networkinformation.dll", ":system.net.ping.dll", ":system.net.primitives.dll", ":system.net.requests.dll", ":system.net.security.dll", ":system.net.servicepoint.dll", ":system.net.sockets.dll", ":system.net.webclient.dll", ":system.net.webheadercollection.dll", ":system.net.webproxy.dll", ":system.net.websockets.client.dll", ":system.net.websockets.dll", ":system.numerics.dll", ":system.numerics.vectors.dll", ":system.objectmodel.dll", ":system.private.corelib.dll", ":system.private.datacontractserialization.dll", ":system.private.uri.dll", ":system.private.xml.dll", ":system.private.xml.linq.dll", ":system.reflection.dispatchproxy.dll", ":system.reflection.dll", ":system.reflection.emit.dll", ":system.reflection.emit.ilgeneration.dll", ":system.reflection.emit.lightweight.dll", ":system.reflection.extensions.dll", ":system.reflection.metadata.dll", ":system.reflection.primitives.dll", ":system.reflection.typeextensions.dll", ":system.resources.reader.dll", ":system.resources.resourcemanager.dll", ":system.resources.writer.dll", ":system.runtime.compilerservices.visualc.dll", ":system.runtime.dll", ":system.runtime.extensions.dll", ":system.runtime.handles.dll", ":system.runtime.interopservices.dll", ":system.runtime.interopservices.runtimeinformation.dll", ":system.runtime.interopservices.windowsruntime.dll", ":system.runtime.loader.dll", ":system.runtime.numerics.dll", ":system.runtime.serialization.dll", ":system.runtime.serialization.formatters.dll", ":system.runtime.serialization.json.dll", ":system.runtime.serialization.primitives.dll", ":system.runtime.serialization.xml.dll", ":system.security.accesscontrol.dll", ":system.security.claims.dll", ":system.security.cryptography.algorithms.dll", ":system.security.cryptography.cng.dll", ":system.security.cryptography.csp.dll", ":system.security.cryptography.encoding.dll", ":system.security.cryptography.openssl.dll", ":system.security.cryptography.primitives.dll", ":system.security.cryptography.x509certificates.dll", ":system.security.dll", ":system.security.principal.dll", ":system.security.principal.windows.dll", ":system.security.securestring.dll", ":system.servicemodel.web.dll", ":system.serviceprocess.dll", ":system.text.encoding.dll", ":system.text.encoding.extensions.dll", ":system.text.regularexpressions.dll", ":system.threading.dll", ":system.threading.overlapped.dll", ":system.threading.tasks.dataflow.dll", ":system.threading.tasks.dll", ":system.threading.tasks.extensions.dll", ":system.threading.tasks.parallel.dll", ":system.threading.thread.dll", ":system.threading.threadpool.dll", ":system.threading.timer.dll", ":system.transactions.dll", ":system.transactions.local.dll", ":system.valuetuple.dll", ":system.web.dll", ":system.web.httputility.dll", ":system.windows.dll", ":system.xml.dll", ":system.xml.linq.dll", ":system.xml.readerwriter.dll", ":system.xml.serialization.dll", ":system.xml.xdocument.dll", ":system.xml.xmldocument.dll", ":system.xml.xmlserializer.dll", ":system.xml.xpath.dll", ":system.xml.xpath.xdocument.dll", ":windowsbase.dll", ], "@bazel_tools//src/conditions:darwin": [ ":microsoft.csharp.dll", ":microsoft.visualbasic.dll", ":microsoft.win32.primitives.dll", ":microsoft.win32.registry.dll", ":mscorlib.dll", ":netstandard.dll", ":sos.netcore.dll", ":system.appcontext.dll", ":system.buffers.dll", ":system.collections.concurrent.dll", ":system.collections.dll", ":system.collections.immutable.dll", ":system.collections.nongeneric.dll", ":system.collections.specialized.dll", ":system.componentmodel.annotations.dll", ":system.componentmodel.dataannotations.dll", ":system.componentmodel.dll", ":system.componentmodel.eventbasedasync.dll", ":system.componentmodel.primitives.dll", ":system.componentmodel.typeconverter.dll", ":system.configuration.dll", ":system.console.dll", ":system.core.dll", ":system.data.common.dll", ":system.data.dll", ":system.diagnostics.contracts.dll", ":system.diagnostics.debug.dll", ":system.diagnostics.diagnosticsource.dll", ":system.diagnostics.fileversioninfo.dll", ":system.diagnostics.process.dll", ":system.diagnostics.stacktrace.dll", ":system.diagnostics.textwritertracelistener.dll", ":system.diagnostics.tools.dll", ":system.diagnostics.tracesource.dll", ":system.diagnostics.tracing.dll", ":system.dll", ":system.drawing.dll", ":system.drawing.primitives.dll", ":system.dynamic.runtime.dll", ":system.globalization.calendars.dll", ":system.globalization.dll", ":system.globalization.extensions.dll", ":system.io.compression.brotli.dll", ":system.io.compression.dll", ":system.io.compression.filesystem.dll", ":system.io.compression.zipfile.dll", ":system.io.dll", ":system.io.filesystem.accesscontrol.dll", ":system.io.filesystem.dll", ":system.io.filesystem.driveinfo.dll", ":system.io.filesystem.primitives.dll", ":system.io.filesystem.watcher.dll", ":system.io.isolatedstorage.dll", ":system.io.memorymappedfiles.dll", ":system.io.pipes.accesscontrol.dll", ":system.io.pipes.dll", ":system.io.unmanagedmemorystream.dll", ":system.linq.dll", ":system.linq.expressions.dll", ":system.linq.parallel.dll", ":system.linq.queryable.dll", ":system.memory.dll", ":system.net.dll", ":system.net.http.dll", ":system.net.httplistener.dll", ":system.net.mail.dll", ":system.net.nameresolution.dll", ":system.net.networkinformation.dll", ":system.net.ping.dll", ":system.net.primitives.dll", ":system.net.requests.dll", ":system.net.security.dll", ":system.net.servicepoint.dll", ":system.net.sockets.dll", ":system.net.webclient.dll", ":system.net.webheadercollection.dll", ":system.net.webproxy.dll", ":system.net.websockets.client.dll", ":system.net.websockets.dll", ":system.numerics.dll", ":system.numerics.vectors.dll", ":system.objectmodel.dll", ":system.private.corelib.dll", ":system.private.datacontractserialization.dll", ":system.private.uri.dll", ":system.private.xml.dll", ":system.private.xml.linq.dll", ":system.reflection.dispatchproxy.dll", ":system.reflection.dll", ":system.reflection.emit.dll", ":system.reflection.emit.ilgeneration.dll", ":system.reflection.emit.lightweight.dll", ":system.reflection.extensions.dll", ":system.reflection.metadata.dll", ":system.reflection.primitives.dll", ":system.reflection.typeextensions.dll", ":system.resources.reader.dll", ":system.resources.resourcemanager.dll", ":system.resources.writer.dll", ":system.runtime.compilerservices.visualc.dll", ":system.runtime.dll", ":system.runtime.extensions.dll", ":system.runtime.handles.dll", ":system.runtime.interopservices.dll", ":system.runtime.interopservices.runtimeinformation.dll", ":system.runtime.interopservices.windowsruntime.dll", ":system.runtime.loader.dll", ":system.runtime.numerics.dll", ":system.runtime.serialization.dll", ":system.runtime.serialization.formatters.dll", ":system.runtime.serialization.json.dll", ":system.runtime.serialization.primitives.dll", ":system.runtime.serialization.xml.dll", ":system.security.accesscontrol.dll", ":system.security.claims.dll", ":system.security.cryptography.algorithms.dll", ":system.security.cryptography.cng.dll", ":system.security.cryptography.csp.dll", ":system.security.cryptography.encoding.dll", ":system.security.cryptography.openssl.dll", ":system.security.cryptography.primitives.dll", ":system.security.cryptography.x509certificates.dll", ":system.security.dll", ":system.security.principal.dll", ":system.security.principal.windows.dll", ":system.security.securestring.dll", ":system.servicemodel.web.dll", ":system.serviceprocess.dll", ":system.text.encoding.dll", ":system.text.encoding.extensions.dll", ":system.text.regularexpressions.dll", ":system.threading.dll", ":system.threading.overlapped.dll", ":system.threading.tasks.dataflow.dll", ":system.threading.tasks.dll", ":system.threading.tasks.extensions.dll", ":system.threading.tasks.parallel.dll", ":system.threading.thread.dll", ":system.threading.threadpool.dll", ":system.threading.timer.dll", ":system.transactions.dll", ":system.transactions.local.dll", ":system.valuetuple.dll", ":system.web.dll", ":system.web.httputility.dll", ":system.windows.dll", ":system.xml.dll", ":system.xml.linq.dll", ":system.xml.readerwriter.dll", ":system.xml.serialization.dll", ":system.xml.xdocument.dll", ":system.xml.xmldocument.dll", ":system.xml.xmlserializer.dll", ":system.xml.xpath.dll", ":system.xml.xpath.xdocument.dll", ":windowsbase.dll", ], "//conditions:default": [ ":microsoft.csharp.dll", ":microsoft.visualbasic.dll", ":microsoft.win32.primitives.dll", ":microsoft.win32.registry.dll", ":mscorlib.dll", ":netstandard.dll", ":sos.netcore.dll", ":system.appcontext.dll", ":system.buffers.dll", ":system.collections.concurrent.dll", ":system.collections.dll", ":system.collections.immutable.dll", ":system.collections.nongeneric.dll", ":system.collections.specialized.dll", ":system.componentmodel.annotations.dll", ":system.componentmodel.dataannotations.dll", ":system.componentmodel.dll", ":system.componentmodel.eventbasedasync.dll", ":system.componentmodel.primitives.dll", ":system.componentmodel.typeconverter.dll", ":system.configuration.dll", ":system.console.dll", ":system.core.dll", ":system.data.common.dll", ":system.data.dll", ":system.diagnostics.contracts.dll", ":system.diagnostics.debug.dll", ":system.diagnostics.diagnosticsource.dll", ":system.diagnostics.fileversioninfo.dll", ":system.diagnostics.process.dll", ":system.diagnostics.stacktrace.dll", ":system.diagnostics.textwritertracelistener.dll", ":system.diagnostics.tools.dll", ":system.diagnostics.tracesource.dll", ":system.diagnostics.tracing.dll", ":system.dll", ":system.drawing.dll", ":system.drawing.primitives.dll", ":system.dynamic.runtime.dll", ":system.globalization.calendars.dll", ":system.globalization.dll", ":system.globalization.extensions.dll", ":system.io.compression.brotli.dll", ":system.io.compression.dll", ":system.io.compression.filesystem.dll", ":system.io.compression.zipfile.dll", ":system.io.dll", ":system.io.filesystem.accesscontrol.dll", ":system.io.filesystem.dll", ":system.io.filesystem.driveinfo.dll", ":system.io.filesystem.primitives.dll", ":system.io.filesystem.watcher.dll", ":system.io.isolatedstorage.dll", ":system.io.memorymappedfiles.dll", ":system.io.pipes.accesscontrol.dll", ":system.io.pipes.dll", ":system.io.unmanagedmemorystream.dll", ":system.linq.dll", ":system.linq.expressions.dll", ":system.linq.parallel.dll", ":system.linq.queryable.dll", ":system.memory.dll", ":system.net.dll", ":system.net.http.dll", ":system.net.httplistener.dll", ":system.net.mail.dll", ":system.net.nameresolution.dll", ":system.net.networkinformation.dll", ":system.net.ping.dll", ":system.net.primitives.dll", ":system.net.requests.dll", ":system.net.security.dll", ":system.net.servicepoint.dll", ":system.net.sockets.dll", ":system.net.webclient.dll", ":system.net.webheadercollection.dll", ":system.net.webproxy.dll", ":system.net.websockets.client.dll", ":system.net.websockets.dll", ":system.numerics.dll", ":system.numerics.vectors.dll", ":system.objectmodel.dll", ":system.private.corelib.dll", ":system.private.datacontractserialization.dll", ":system.private.uri.dll", ":system.private.xml.dll", ":system.private.xml.linq.dll", ":system.reflection.dispatchproxy.dll", ":system.reflection.dll", ":system.reflection.emit.dll", ":system.reflection.emit.ilgeneration.dll", ":system.reflection.emit.lightweight.dll", ":system.reflection.extensions.dll", ":system.reflection.metadata.dll", ":system.reflection.primitives.dll", ":system.reflection.typeextensions.dll", ":system.resources.reader.dll", ":system.resources.resourcemanager.dll", ":system.resources.writer.dll", ":system.runtime.compilerservices.visualc.dll", ":system.runtime.dll", ":system.runtime.extensions.dll", ":system.runtime.handles.dll", ":system.runtime.interopservices.dll", ":system.runtime.interopservices.runtimeinformation.dll", ":system.runtime.interopservices.windowsruntime.dll", ":system.runtime.loader.dll", ":system.runtime.numerics.dll", ":system.runtime.serialization.dll", ":system.runtime.serialization.formatters.dll", ":system.runtime.serialization.json.dll", ":system.runtime.serialization.primitives.dll", ":system.runtime.serialization.xml.dll", ":system.security.accesscontrol.dll", ":system.security.claims.dll", ":system.security.cryptography.algorithms.dll", ":system.security.cryptography.cng.dll", ":system.security.cryptography.csp.dll", ":system.security.cryptography.encoding.dll", ":system.security.cryptography.openssl.dll", ":system.security.cryptography.primitives.dll", ":system.security.cryptography.x509certificates.dll", ":system.security.dll", ":system.security.principal.dll", ":system.security.principal.windows.dll", ":system.security.securestring.dll", ":system.servicemodel.web.dll", ":system.serviceprocess.dll", ":system.text.encoding.dll", ":system.text.encoding.extensions.dll", ":system.text.regularexpressions.dll", ":system.threading.dll", ":system.threading.overlapped.dll", ":system.threading.tasks.dataflow.dll", ":system.threading.tasks.dll", ":system.threading.tasks.extensions.dll", ":system.threading.tasks.parallel.dll", ":system.threading.thread.dll", ":system.threading.threadpool.dll", ":system.threading.timer.dll", ":system.transactions.dll", ":system.transactions.local.dll", ":system.valuetuple.dll", ":system.web.dll", ":system.web.httputility.dll", ":system.windows.dll", ":system.xml.dll", ":system.xml.linq.dll", ":system.xml.readerwriter.dll", ":system.xml.serialization.dll", ":system.xml.xdocument.dll", ":system.xml.xmldocument.dll", ":system.xml.xmlserializer.dll", ":system.xml.xpath.dll", ":system.xml.xpath.xdocument.dll", ":windowsbase.dll", ], }), data = select({ "@bazel_tools//src/conditions:windows": [ ":core/shared/Microsoft.NETCore.App/2.1.6/.version", ":core/shared/Microsoft.NETCore.App/2.1.6/api-ms-win-core-console-l1-1-0.dll", ":core/shared/Microsoft.NETCore.App/2.1.6/api-ms-win-core-datetime-l1-1-0.dll", ":core/shared/Microsoft.NETCore.App/2.1.6/api-ms-win-core-debug-l1-1-0.dll", ":core/shared/Microsoft.NETCore.App/2.1.6/api-ms-win-core-errorhandling-l1-1-0.dll", ":core/shared/Microsoft.NETCore.App/2.1.6/api-ms-win-core-file-l1-1-0.dll", ":core/shared/Microsoft.NETCore.App/2.1.6/api-ms-win-core-file-l1-2-0.dll", ":core/shared/Microsoft.NETCore.App/2.1.6/api-ms-win-core-file-l2-1-0.dll", ":core/shared/Microsoft.NETCore.App/2.1.6/api-ms-win-core-handle-l1-1-0.dll", ":core/shared/Microsoft.NETCore.App/2.1.6/api-ms-win-core-heap-l1-1-0.dll", 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":core/shared/Microsoft.NETCore.App/2.1.6/libsos.so", ":core/shared/Microsoft.NETCore.App/2.1.6/libsosplugin.so", ":core/shared/Microsoft.NETCore.App/2.1.6/Microsoft.NETCore.App.deps.json", ":core/shared/Microsoft.NETCore.App/2.1.6/sosdocsunix.txt", ":core/shared/Microsoft.NETCore.App/2.1.6/System.Globalization.Native.so", ":core/shared/Microsoft.NETCore.App/2.1.6/System.IO.Compression.Native.a", ":core/shared/Microsoft.NETCore.App/2.1.6/System.IO.Compression.Native.so", ":core/shared/Microsoft.NETCore.App/2.1.6/System.Native.a", ":core/shared/Microsoft.NETCore.App/2.1.6/System.Native.so", ":core/shared/Microsoft.NETCore.App/2.1.6/System.Net.Http.Native.a", ":core/shared/Microsoft.NETCore.App/2.1.6/System.Net.Http.Native.so", ":core/shared/Microsoft.NETCore.App/2.1.6/System.Net.Security.Native.a", ":core/shared/Microsoft.NETCore.App/2.1.6/System.Net.Security.Native.so", ":core/shared/Microsoft.NETCore.App/2.1.6/System.Security.Cryptography.Native.OpenSsl.a", 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bcc2810968b4b65fb452fde81b962f4accc9d557

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Python

tests/test_04_automark.py

aaronsewall/pytest-dependency

db34c5451891629ad54a18e8a5e6a45b7ec968f8

[ "Apache-2.0" ]

1

2018-07-17T13:35:40.000Z

tests/test_04_automark.py

aaronsewall/pytest-dependency

db34c5451891629ad54a18e8a5e6a45b7ec968f8

[ "Apache-2.0" ]

null

tests/test_04_automark.py

aaronsewall/pytest-dependency

db34c5451891629ad54a18e8a5e6a45b7ec968f8

[ "Apache-2.0" ]

1

2019-05-10T17:17:56.000Z

"""Test the automark_dependency option. """ import pytest def test_not_set(ctestdir): """No pytest.ini file, e.g. automark_dependency is not set. Since automark_dependency defaults to false and test_a is not marked, the outcome of test_a will not be recorded. As a result, test_b will be skipped due to a missing dependency. """ ctestdir.makepyfile(""" import pytest def test_a(): pass @pytest.mark.dependency(depends=["test_a"]) def test_b(): pass """) result = ctestdir.runpytest("--verbose", "-rs") result.assert_outcomes(passed=1, skipped=1, failed=0) result.stdout.fnmatch_lines(""" *::test_a PASSED *::test_b SKIPPED """) def test_set_false(ctestdir): """A pytest.ini is present, automark_dependency is set to false. Since automark_dependency is set to false and test_a is not marked, the outcome of test_a will not be recorded. As a result, test_b will be skipped due to a missing dependency. """ ctestdir.makefile('.ini', pytest=""" [pytest] automark_dependency = false console_output_style = classic """) ctestdir.makepyfile(""" import pytest def test_a(): pass @pytest.mark.dependency(depends=["test_a"]) def test_b(): pass """) result = ctestdir.runpytest("--verbose", "-rs") result.assert_outcomes(passed=1, skipped=1, failed=0) result.stdout.fnmatch_lines(""" *::test_a PASSED *::test_b SKIPPED """) def test_set_true(ctestdir): """A pytest.ini is present, automark_dependency is set to false. Since automark_dependency is set to true, the outcome of test_a will be recorded, even though it is not marked. As a result, test_b will be skipped due to a missing dependency. """ ctestdir.makefile('.ini', pytest=""" [pytest] automark_dependency = true console_output_style = classic """) ctestdir.makepyfile(""" import pytest def test_a(): pass @pytest.mark.dependency(depends=["test_a"]) def test_b(): pass """) result = ctestdir.runpytest("--verbose", "-rs") result.assert_outcomes(passed=2, skipped=0, failed=0) result.stdout.fnmatch_lines(""" *::test_a PASSED *::test_b PASSED """)

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4c52b1d4678332266abc0f066ec4ba4a6cd572a7

44

py

Python

test_data/parse_retree/expected/character_set/common_escaping/source.py

aas-core-works/aas-core-codegen

afec2cf363b6cb69816e7724a2b58626e2165869

[ "MIT" ]

5

2021-12-29T12:55:34.000Z

2022-03-01T17:57:21.000Z

test_data/parse_retree/expected/character_set/common_escaping/source.py

aas-core-works/aas-core-codegen

afec2cf363b6cb69816e7724a2b58626e2165869

[ "MIT" ]

10

2021-12-29T02:15:55.000Z

2022-03-09T11:04:22.000Z

test_data/parse_retree/expected/character_set/common_escaping/source.py

aas-core-works/aas-core-codegen

afec2cf363b6cb69816e7724a2b58626e2165869

[ "MIT" ]

2

2021-12-29T01:42:12.000Z

2022-02-15T13:46:33.000Z

"[\\^\\xab\\uc0de\\U0010ffff\\-\\[\\]\\\\]"

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7

4c77b14f6a9fca902052cdf6b329407a84bec5b7

3,049

py

Python

authnzerver/actions/email_templates.py

waqasbhatti/authnzerver

d40fa38601f4f11e966fc52e11ad6fe1116bb145

[ "MIT" ]

3

2019-06-02T12:57:08.000Z

2020-04-01T14:00:12.000Z

authnzerver/actions/email_templates.py

waqasbhatti/authnzerver

d40fa38601f4f11e966fc52e11ad6fe1116bb145

[ "MIT" ]

7

2020-03-17T21:55:41.000Z

2020-07-07T22:58:48.000Z

authnzerver/actions/email_templates.py

waqasbhatti/authnzerver

d40fa38601f4f11e966fc52e11ad6fe1116bb145

[ "MIT" ]

2

2020-03-04T06:56:27.000Z

2020-03-24T08:39:11.000Z

# -*- coding: utf-8 -*- # email_templates.py - Waqas Bhatti (waqas.afzal.bhatti@gmail.com) - Jul 2020 # License: MIT - see the LICENSE file for the full text. """ This contains simple default verification email templates. """ SIGNUP_VERIFICATION_EMAIL_SUBJECT = ( '[{server_name}] Please verify your account sign up request' ) SIGNUP_VERIFICATION_EMAIL_TEMPLATE = '''\ Hello, This is an automated message from the {server_name} at: {server_baseurl}. We received an account sign up request for: {user_email}. This request was made using the browser: {browser_identifier} from the IP address: {ip_address}. Please enter this code: {verification_code} into the account verification form at: {server_baseurl}{account_verify_url} to verify that you made this request. This code will expire on {verification_expiry} You will also need to enter your email address and password to log in. If you do not recognize the browser and IP address above or did not initiate this request, someone else may have used your email address in error. Feel free to ignore this email. You can see your IP address here: https://www.google.com/search?q=my+ip+address Thanks, {server_name} admins {server_baseurl} ''' FORGOTPASS_VERIFICATION_EMAIL_SUBJECT = ( '[{server_name}] Please verify your password reset request' ) FORGOTPASS_VERIFICATION_EMAIL_TEMPLATE = '''\ Hello, This is an automated message from the {server_name} at: {server_baseurl}. We received a password reset request for: {user_email}. This request was initiated using the browser: {browser_identifier} from the IP address: {ip_address}. Please enter this code: {verification_code} into the password reset form at: {server_baseurl}{password_forgot_url} to verify that you made this request. This code will expire on {verification_expiry} If you do not recognize the browser and IP address above or did not initiate this request, someone else may have used your email address in error. Feel free to ignore this email. You can see your IP address here: https://www.google.com/search?q=my+ip+address Thanks, {server_name} admins {server_baseurl} ''' CHANGEPASS_VERIFICATION_EMAIL_SUBJECT = ( '[{server_name}] Please verify your password change request' ) CHANGEPASS_VERIFICATION_EMAIL_TEMPLATE = '''\ Hello, This is an automated message from the {server_name} at: {server_baseurl}. We received a password change request for: {user_email}. This request was initiated using the browser: {browser_identifier} from the IP address: {ip_address}. Please enter this code: {verification_code} into the account verification form at: {server_baseurl}{password_change_url} to verify that you made this request. This code will expire on {verification_expiry} If you do not recognize the browser and IP address above or did not initiate this request, someone else may have used your email address in error. Feel free to ignore this email. You can see your IP address here: https://www.google.com/search?q=my+ip+address Thanks, {server_name} admins {server_baseurl} '''

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null

0

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9

d5b1d3e274548693fce2945f177390f5dcc11aa2

37,476

py

Python

rnnlayer.py

wentaozhu/recurrent-attention-for-QA-SQUAD-based-on-keras

40a895e55eb8571120ee70c5b7e32319be1d5627

[ "MIT" ]

28

2017-03-12T17:28:28.000Z

2020-06-12T11:17:04.000Z

rnnlayer.py

wentaozhu/recurrent-attention-for-QA-SQUAD-based-on-keras

40a895e55eb8571120ee70c5b7e32319be1d5627

[ "MIT" ]

2

2017-06-01T19:18:27.000Z

2017-09-07T01:05:23.000Z

rnnlayer.py

wentaozhu/recurrent-attention-for-QA-SQUAD-based-on-keras

40a895e55eb8571120ee70c5b7e32319be1d5627

[ "MIT" ]

18

2017-04-29T06:32:17.000Z

2021-03-03T07:17:06.000Z

# -*- coding: utf-8 -*- from __future__ import absolute_import import numpy as np from keras import backend as K from keras.regularizers import l2 from keras.callbacks import * # from visualizer import * from keras.models import * from keras.optimizers import * from keras.utils.np_utils import to_categorical#, accuracy from keras.layers.core import * from keras.layers import Input, Embedding, LSTM, Dense, merge, TimeDistributed, Recurrent def time_distributed_dense(x, w, b=None, dropout=None, input_dim=None, units=None, timesteps=None): """Apply `y . w + b` for every temporal slice y of x. # Arguments x: input tensor. w: weight matrix. b: optional bias vector. dropout: wether to apply dropout (same dropout mask for every temporal slice of the input). input_dim: integer; optional dimensionality of the input. units: integer; optional dimensionality of the output. timesteps: integer; optional number of timesteps. # Returns Output tensor. """ if not input_dim: input_dim = K.shape(x)[2] if not timesteps: timesteps = K.shape(x)[1] if not units: units = K.shape(w)[1] if dropout is not None and 0. < dropout < 1.: # apply the same dropout pattern at every timestep ones = K.ones_like(K.reshape(x[:, 0, :], (-1, input_dim))) dropout_matrix = K.dropout(ones, dropout) expanded_dropout_matrix = K.repeat(dropout_matrix, timesteps) x = K.in_train_phase(x * expanded_dropout_matrix, x) # collapse time dimension and batch dimension together x = K.reshape(x, (-1, input_dim)) x = K.dot(x, w) if b: x += b # reshape to 3D tensor if K.backend() == 'tensorflow': x = K.reshape(x, K.stack([-1, timesteps, units])) x.set_shape([None, None, units]) else: x = K.reshape(x, (-1, timesteps, units)) return x class Attention(Recurrent): """Attention Recurrent Unit - Bengio et al. ICLR 2015. # Arguments units: dimension of the internal projections and the final output. h: we use it as attention to process the input init: weight initialization function. Can be the name of an existing function (str), or a Theano function (see: [initializations](../initializations.md)). inner_init: initialization function of the inner cells. activation: activation function. Can be the name of an existing function (str), or a Theano function (see: [activations](../activations.md)). inner_activation: activation function for the inner cells. W_regularizer: instance of [WeightRegularizer](../regularizers.md) (eg. L1 or L2 regularization), applied to the input weights matrices. U_regularizer: instance of [WeightRegularizer](../regularizers.md) (eg. L1 or L2 regularization), applied to the recurrent weights matrices. b_regularizer: instance of [WeightRegularizer](../regularizers.md), applied to the bias. dropout_W: float between 0 and 1. Fraction of the input units to drop for input gates. dropout_U: float between 0 and 1. Fraction of the input units to drop for recurrent connections. """ def __init__(self, units, h, h_dim, kernel_initializer='glorot_uniform', recurrent_initializer='orthogonal', #activation='tanh', inner_activation='hard_sigmoid', #W_regularizer=None, U_regularizer=None, b_regularizer=None, #dropout_W=0., dropout_U=0., **kwargs): self.units = units self.h = h[:,-1,:] self.h_dim = h_dim self.kernel_initializer = initializers.get(kernel_initializer) self.recurrent_initializer = initializers.get(recurrent_initializer) #self.activation = activations.get(activation) #self.inner_activation = activations.get(inner_activation) #self.W_regularizer = regularizers.get(W_regularizer) #self.U_regularizer = regularizers.get(U_regularizer) #self.b_regularizer = regularizers.get(b_regularizer) #self.dropout_W = dropout_W #self.dropout_U = dropout_U #if self.dropout_W or self.dropout_U: # self.uses_learning_phase = True super(Attention, self).__init__(**kwargs) def build(self, input_shape): self.input_spec = [InputSpec(shape=input_shape)] self.input_dim = input_shape[2] if self.stateful: self.reset_states() else: # initial states: all-zero tensor of shape (units) self.states = [None] self.Wa = self.add_weight((self.units, self.units), initializer=self.kernel_initializer, name='{}_Wa'.format(self.name)) self.Ua = self.add_weight((self.h_dim, self.units), initializer=self.recurrent_initializer, name='{}_Ua'.format(self.name)) self.Va = self.add_weight((self.units,1), initializer=self.kernel_initializer, name='{}_Va'.format(self.name)) self.Wzr = self.add_weight((self.input_dim, 2 * self.units), initializer=self.kernel_initializer, name='{}_Wzr'.format(self.name)) self.Uzr = self.add_weight((self.units, 2 * self.units), initializer=self.recurrent_initializer, name='{}_Wzr'.format(self.name)) self.Czr = self.add_weight((self.h_dim, 2 * self.units), initializer=self.recurrent_initializer, name='{}_Czr'.format(self.name)) self.W = self.add_weight((self.input_dim, self.units), initializer=self.kernel_initializer, name='{}_W'.format(self.name)) self.U = self.add_weight((self.units, self.units), initializer=self.recurrent_initializer, name='{}_U'.format(self.name)) self.C = self.add_weight((self.h_dim, self.units), initializer=self.recurrent_initializer, name='{}_C'.format(self.name)) #if self.initial_weights is not None: # self.set_weights(self.initial_weights) # del self.initial_weights self.built = True def reset_states(self): assert self.stateful, 'Layer must be stateful.' input_shape = self.input_spec[0].shape if not input_shape[0]: raise ValueError('If a RNN is stateful, a complete ' 'input_shape must be provided ' '(including batch size).') if hasattr(self, 'states'): K.set_value(self.states[0], np.zeros((input_shape[0], self.units))) else: self.states = [K.zeros((input_shape[0], self.units))] def preprocess_input(self, inputs, training=None): #if self.consume_less == 'cpu': # input_shape = K.int_shape(x) # input_dim = input_shape[2] # timesteps = input_shape[1] # x_z = time_distributed_dense(x, self.W_z, self.b_z, self.dropout_W, # input_dim, self.units, timesteps) # x_r = time_distributed_dense(x, self.W_r, self.b_r, self.dropout_W, # input_dim, self.units, timesteps) # x_h = time_distributed_dense(x, self.W_h, self.b_h, self.dropout_W, # input_dim, self.units, timesteps) # return K.concatenate([x_z, x_r, x_h], axis=2) #else: # return x self.ha = time_distributed_dense(self.h, self.Ua) return inputs def step(self, inputs, states): h_tm1 = states[0] # previous memory #B_U = states[1] # dropout matrices for recurrent units #B_W = states[2] h_tm1a = K.dot(h_tm1, self.Wa) eij = K.dot(K.tanh(K.repeat(h_tm1a, K.shape(self.h)[1]) + self.ha), self.Va) eijs = K.squeeze(eij, -1) alphaij = K.softmax(eijs) # batchsize * lenh h batchsize * lenh * ndim ci = K.permute_dimensions(K.permute_dimensions(self.h, [2,0,1]) * alphaij, [1,2,0]) cisum = K.sum(ci, axis=1) #print(K.shape(cisum), cisum.shape, ci.shape, self.h.shape, alphaij.shape, x.shape) zr = K.sigmoid(K.dot(inputs, self.Wzr) + K.dot(h_tm1, self.Uzr) + K.dot(cisum, self.Czr)) zi = zr[:, :self.units] ri = zr[:, self.units: 2 * self.units] si_ = K.tanh(K.dot(inputs, self.W) + K.dot(ri*h_tm1, self.U) + K.dot(cisum, self.C)) si = (1-zi) * h_tm1 + zi * si_ return si, [si] #h_tm1, [h_tm1] '''if self.consume_less == 'gpu': matrix_x = K.dot(x * B_W[0], self.W) + self.b matrix_inner = K.dot(h_tm1 * B_U[0], self.U[:, :2 * self.units]) x_z = matrix_x[:, :self.units] x_r = matrix_x[:, self.units: 2 * self.units] inner_z = matrix_inner[:, :self.units] inner_r = matrix_inner[:, self.units: 2 * self.units] z = self.inner_activation(x_z + inner_z) r = self.inner_activation(x_r + inner_r) x_h = matrix_x[:, 2 * self.units:] inner_h = K.dot(r * h_tm1 * B_U[0], self.U[:, 2 * self.units:]) hh = self.activation(x_h + inner_h) else: if self.consume_less == 'cpu': x_z = x[:, :self.units] x_r = x[:, self.units: 2 * self.units] x_h = x[:, 2 * self.units:] elif self.consume_less == 'mem': x_z = K.dot(x * B_W[0], self.W_z) + self.b_z x_r = K.dot(x * B_W[1], self.W_r) + self.b_r x_h = K.dot(x * B_W[2], self.W_h) + self.b_h else: raise ValueError('Unknown `consume_less` mode.') z = self.inner_activation(x_z + K.dot(h_tm1 * B_U[0], self.U_z)) r = self.inner_activation(x_r + K.dot(h_tm1 * B_U[1], self.U_r)) hh = self.activation(x_h + K.dot(r * h_tm1 * B_U[2], self.U_h)) h = z * h_tm1 + (1 - z) * hh return h, [h]''' def get_constants(self, inputs, training=None): constants = [] '''if 0 < self.dropout_U < 1: ones = K.ones_like(K.reshape(x[:, 0, 0], (-1, 1))) ones = K.tile(ones, (1, self.units)) B_U = [K.in_train_phase(K.dropout(ones, self.dropout_U), ones) for _ in range(3)] constants.append(B_U) else: constants.append([K.cast_to_floatx(1.) for _ in range(3)]) if 0 < self.dropout_W < 1: input_shape = K.int_shape(x) input_dim = input_shape[-1] ones = K.ones_like(K.reshape(x[:, 0, 0], (-1, 1))) ones = K.tile(ones, (1, int(input_dim))) B_W = [K.in_train_phase(K.dropout(ones, self.dropout_W), ones) for _ in range(3)] constants.append(B_W) else:''' constants.append([K.cast_to_floatx(1.) for _ in range(3)]) return constants def get_config(self): config = {'units': self.units, 'kernel_initializer': initializers.serialize(self.kernel_initializer), 'recurrent_initializer': initializers.serialize(self.recurrent_initializer)} base_config = super(SimpleAttention, self).get_config() return dict(list(base_config.items()) + list(config.items())) class SimpleAttention(Recurrent): """Attention Recurrent Unit - Bengio et al. ICLR 2015. # Arguments units: dimension of the internal projections and the final output. h: we use it as attention to process the input init: weight initialization function. Can be the name of an existing function (str), or a Theano function (see: [initializations](../initializations.md)). inner_init: initialization function of the inner cells. activation: activation function. Can be the name of an existing function (str), or a Theano function (see: [activations](../activations.md)). inner_activation: activation function for the inner cells. W_regularizer: instance of [WeightRegularizer](../regularizers.md) (eg. L1 or L2 regularization), applied to the input weights matrices. U_regularizer: instance of [WeightRegularizer](../regularizers.md) (eg. L1 or L2 regularization), applied to the recurrent weights matrices. b_regularizer: instance of [WeightRegularizer](../regularizers.md), applied to the bias. dropout_W: float between 0 and 1. Fraction of the input units to drop for input gates. dropout_U: float between 0 and 1. Fraction of the input units to drop for recurrent connections. """ def __init__(self, units, h, h_dim, kernel_initializer='glorot_uniform', recurrent_initializer='orthogonal', #activation='tanh', inner_activation='hard_sigmoid', #W_regularizer=None, U_regularizer=None, b_regularizer=None, #dropout_W=0., dropout_U=0., **kwargs): self.units = units self.h = h self.h_dim = h_dim self.kernel_initializer = initializers.get(kernel_initializer) self.recurrent_initializer = initializers.get(recurrent_initializer) #self.activation = activations.get(activation) #self.inner_activation = activations.get(inner_activation) #self.W_regularizer = regularizers.get(W_regularizer) #self.U_regularizer = regularizers.get(U_regularizer) #self.b_regularizer = regularizers.get(b_regularizer) #self.dropout_W = dropout_W #self.dropout_U = dropout_U #if self.dropout_W or self.dropout_U: # self.uses_learning_phase = True super(SimpleAttention, self).__init__(**kwargs) def build(self, input_shape): self.input_spec = [InputSpec(shape=input_shape)] self.input_dim = input_shape[2] if self.stateful: self.reset_states() else: # initial states: all-zero tensor of shape (units) self.states = [None] self.Wa = self.add_weight((self.units, self.units), initializer=self.kernel_initializer, name='{}_Wa'.format(self.name)) self.Ua = self.add_weight((self.h_dim, self.units), initializer=self.recurrent_initializer, name='{}_Ua'.format(self.name)) self.Va = self.add_weight((self.units,1), initializer=self.kernel_initializer, name='{}_Va'.format(self.name)) self.Wzr = self.add_weight((self.input_dim, 2 * self.units), initializer=self.kernel_initializer, name='{}_Wzr'.format(self.name)) self.Uzr = self.add_weight((self.units, 2 * self.units), initializer=self.recurrent_initializer, name='{}_Wzr'.format(self.name)) self.Czr = self.add_weight((self.h_dim, 2 * self.units), initializer=self.recurrent_initializer, name='{}_Czr'.format(self.name)) self.W = self.add_weight((self.input_dim, self.units), initializer=self.kernel_initializer, name='{}_W'.format(self.name)) self.U = self.add_weight((self.units, self.units), initializer=self.recurrent_initializer, name='{}_U'.format(self.name)) self.C = self.add_weight((self.h_dim, self.units), initializer=self.recurrent_initializer, name='{}_C'.format(self.name)) #if self.initial_weights is not None: # self.set_weights(self.initial_weights) # del self.initial_weights self.built = True def reset_states(self): assert self.stateful, 'Layer must be stateful.' input_shape = self.input_spec[0].shape if not input_shape[0]: raise ValueError('If a RNN is stateful, a complete ' 'input_shape must be provided ' '(including batch size).') if hasattr(self, 'states'): K.set_value(self.states[0], np.zeros((input_shape[0], self.units))) else: self.states = [K.zeros((input_shape[0], self.units))] def preprocess_input(self, inputs, training=None): #if self.consume_less == 'cpu': # input_shape = K.int_shape(x) # input_dim = input_shape[2] # timesteps = input_shape[1] # x_z = time_distributed_dense(x, self.W_z, self.b_z, self.dropout_W, # input_dim, self.units, timesteps) # x_r = time_distributed_dense(x, self.W_r, self.b_r, self.dropout_W, # input_dim, self.units, timesteps) # x_h = time_distributed_dense(x, self.W_h, self.b_h, self.dropout_W, # input_dim, self.units, timesteps) # return K.concatenate([x_z, x_r, x_h], axis=2) #else: # return x self.ha = K.dot(self.h, self.Ua) #time_distributed_dense(self.h, self.Ua) return inputs def step(self, inputs, states): h_tm1 = states[0] # previous memory #B_U = states[1] # dropout matrices for recurrent units #B_W = states[2] h_tm1a = K.dot(h_tm1, self.Wa) eij = K.dot(K.tanh(h_tm1a + self.ha), self.Va) eijs = K.repeat_elements(eij, self.h_dim, axis=1) #alphaij = K.softmax(eijs) # batchsize * lenh h batchsize * lenh * ndim #ci = K.permute_dimensions(K.permute_dimensions(self.h, [2,0,1]) * alphaij, [1,2,0]) #cisum = K.sum(ci, axis=1) cisum = eijs*self.h #print(K.shape(cisum), cisum.shape, ci.shape, self.h.shape, alphaij.shape, x.shape) zr = K.sigmoid(K.dot(inputs, self.Wzr) + K.dot(h_tm1, self.Uzr) + K.dot(cisum, self.Czr)) zi = zr[:, :self.units] ri = zr[:, self.units: 2 * self.units] si_ = K.tanh(K.dot(inputs, self.W) + K.dot(ri*h_tm1, self.U) + K.dot(cisum, self.C)) si = (1-zi) * h_tm1 + zi * si_ return si, [si] #h_tm1, [h_tm1] '''if self.consume_less == 'gpu': matrix_x = K.dot(x * B_W[0], self.W) + self.b matrix_inner = K.dot(h_tm1 * B_U[0], self.U[:, :2 * self.units]) x_z = matrix_x[:, :self.units] x_r = matrix_x[:, self.units: 2 * self.units] inner_z = matrix_inner[:, :self.units] inner_r = matrix_inner[:, self.units: 2 * self.units] z = self.inner_activation(x_z + inner_z) r = self.inner_activation(x_r + inner_r) x_h = matrix_x[:, 2 * self.units:] inner_h = K.dot(r * h_tm1 * B_U[0], self.U[:, 2 * self.units:]) hh = self.activation(x_h + inner_h) else: if self.consume_less == 'cpu': x_z = x[:, :self.units] x_r = x[:, self.units: 2 * self.units] x_h = x[:, 2 * self.units:] elif self.consume_less == 'mem': x_z = K.dot(x * B_W[0], self.W_z) + self.b_z x_r = K.dot(x * B_W[1], self.W_r) + self.b_r x_h = K.dot(x * B_W[2], self.W_h) + self.b_h else: raise ValueError('Unknown `consume_less` mode.') z = self.inner_activation(x_z + K.dot(h_tm1 * B_U[0], self.U_z)) r = self.inner_activation(x_r + K.dot(h_tm1 * B_U[1], self.U_r)) hh = self.activation(x_h + K.dot(r * h_tm1 * B_U[2], self.U_h)) h = z * h_tm1 + (1 - z) * hh return h, [h]''' def get_constants(self, inputs, training=None): constants = [] '''if 0 < self.dropout_U < 1: ones = K.ones_like(K.reshape(x[:, 0, 0], (-1, 1))) ones = K.tile(ones, (1, self.units)) B_U = [K.in_train_phase(K.dropout(ones, self.dropout_U), ones) for _ in range(3)] constants.append(B_U) else: constants.append([K.cast_to_floatx(1.) for _ in range(3)]) if 0 < self.dropout_W < 1: input_shape = K.int_shape(x) input_dim = input_shape[-1] ones = K.ones_like(K.reshape(x[:, 0, 0], (-1, 1))) ones = K.tile(ones, (1, int(input_dim))) B_W = [K.in_train_phase(K.dropout(ones, self.dropout_W), ones) for _ in range(3)] constants.append(B_W) else:''' constants.append([K.cast_to_floatx(1.) for _ in range(3)]) return constants def get_config(self): config = {'units': self.units, 'kernel_initializer': initializers.serialize(self.kernel_initializer), 'recurrent_initializer': initializers.serialize(self.recurrent_initializer)} base_config = super(SimpleAttention, self).get_config() return dict(list(base_config.items()) + list(config.items())) class SSimpleAttention(Recurrent): """Attention Recurrent Unit - Bengio et al. ICLR 2015. # Arguments units: dimension of the internal projections and the final output. h: we use it as attention to process the input init: weight initialization function. Can be the name of an existing function (str), or a Theano function (see: [initializations](../initializations.md)). inner_init: initialization function of the inner cells. activation: activation function. Can be the name of an existing function (str), or a Theano function (see: [activations](../activations.md)). inner_activation: activation function for the inner cells. W_regularizer: instance of [WeightRegularizer](../regularizers.md) (eg. L1 or L2 regularization), applied to the input weights matrices. U_regularizer: instance of [WeightRegularizer](../regularizers.md) (eg. L1 or L2 regularization), applied to the recurrent weights matrices. b_regularizer: instance of [WeightRegularizer](../regularizers.md), applied to the bias. dropout_W: float between 0 and 1. Fraction of the input units to drop for input gates. dropout_U: float between 0 and 1. Fraction of the input units to drop for recurrent connections. """ def __init__(self, units, h, h_dim, kernel_initializer='glorot_uniform', recurrent_initializer='orthogonal', #activation='tanh', inner_activation='hard_sigmoid', #W_regularizer=None, U_regularizer=None, b_regularizer=None, #dropout_W=0., dropout_U=0., **kwargs): self.units = units self.h = h[:,-1,:] self.h_dim = h_dim self.kernel_initializer = initializers.get(kernel_initializer) self.recurrent_initializer = initializers.get(recurrent_initializer) #self.activation = activations.get(activation) #self.inner_activation = activations.get(inner_activation) #self.W_regularizer = regularizers.get(W_regularizer) #self.U_regularizer = regularizers.get(U_regularizer) #self.b_regularizer = regularizers.get(b_regularizer) #self.dropout_W = dropout_W #self.dropout_U = dropout_U #if self.dropout_W or self.dropout_U: # self.uses_learning_phase = True super(SSimpleAttention, self).__init__(**kwargs) def build(self, input_shape): self.input_spec = [InputSpec(shape=input_shape)] self.input_dim = input_shape[2] if self.stateful: self.reset_states() else: # initial states: all-zero tensor of shape (units) self.states = [None] self.Wa = self.add_weight((self.units, self.units), initializer=self.kernel_initializer, name='{}_Wa'.format(self.name)) self.Ua = self.add_weight((self.h_dim, self.units), initializer=self.recurrent_initializer, name='{}_Ua'.format(self.name)) self.Va = self.add_weight((self.units,1), initializer=self.kernel_initializer, name='{}_Va'.format(self.name)) self.Wzr = self.add_weight((self.input_dim, 2 * self.units), initializer=self.kernel_initializer, name='{}_Wzr'.format(self.name)) self.Uzr = self.add_weight((self.units, 2 * self.units), initializer=self.recurrent_initializer, name='{}_Wzr'.format(self.name)) self.Czr = self.add_weight((self.h_dim, 2 * self.units), initializer=self.recurrent_initializer, name='{}_Czr'.format(self.name)) self.W = self.add_weight((self.input_dim, self.units), initializer=self.kernel_initializer, name='{}_W'.format(self.name)) self.U = self.add_weight((self.units, self.units), initializer=self.recurrent_initializer, name='{}_U'.format(self.name)) self.C = self.add_weight((self.h_dim, self.units), initializer=self.recurrent_initializer, name='{}_C'.format(self.name)) #if self.initial_weights is not None: # self.set_weights(self.initial_weights) # del self.initial_weights self.built = True def reset_states(self): assert self.stateful, 'Layer must be stateful.' input_shape = self.input_spec[0].shape if not input_shape[0]: raise ValueError('If a RNN is stateful, a complete ' 'input_shape must be provided ' '(including batch size).') if hasattr(self, 'states'): K.set_value(self.states[0], np.zeros((input_shape[0], self.units))) else: self.states = [K.zeros((input_shape[0], self.units))] def preprocess_input(self, inputs, training=None): #if self.consume_less == 'cpu': # input_shape = K.int_shape(x) # input_dim = input_shape[2] # timesteps = input_shape[1] # x_z = time_distributed_dense(x, self.W_z, self.b_z, self.dropout_W, # input_dim, self.units, timesteps) # x_r = time_distributed_dense(x, self.W_r, self.b_r, self.dropout_W, # input_dim, self.units, timesteps) # x_h = time_distributed_dense(x, self.W_h, self.b_h, self.dropout_W, # input_dim, self.units, timesteps) # return K.concatenate([x_z, x_r, x_h], axis=2) #else: # return x self.ha = K.dot(self.h, self.Ua) #time_distributed_dense(self.h, self.Ua) return inputs def step(self, inputs, states): h_tm1 = states[0] # previous memory #B_U = states[1] # dropout matrices for recurrent units #B_W = states[2] h_tm1a = K.dot(h_tm1, self.Wa) eij = K.dot(K.tanh(h_tm1a + self.ha), self.Va) eijs = K.repeat_elements(eij, self.h_dim, axis=1) #alphaij = K.softmax(eijs) # batchsize * lenh h batchsize * lenh * ndim #ci = K.permute_dimensions(K.permute_dimensions(self.h, [2,0,1]) * alphaij, [1,2,0]) #cisum = K.sum(ci, axis=1) cisum = eijs*self.h #print(K.shape(cisum), cisum.shape, ci.shape, self.h.shape, alphaij.shape, x.shape) zr = K.sigmoid(K.dot(inputs, self.Wzr) + K.dot(h_tm1, self.Uzr) + K.dot(cisum, self.Czr)) zi = zr[:, :self.units] ri = zr[:, self.units: 2 * self.units] si_ = K.tanh(K.dot(inputs, self.W) + K.dot(ri*h_tm1, self.U) + K.dot(cisum, self.C)) si = (1-zi) * h_tm1 + zi * si_ return si, [si] #h_tm1, [h_tm1] '''if self.consume_less == 'gpu': matrix_x = K.dot(x * B_W[0], self.W) + self.b matrix_inner = K.dot(h_tm1 * B_U[0], self.U[:, :2 * self.units]) x_z = matrix_x[:, :self.units] x_r = matrix_x[:, self.units: 2 * self.units] inner_z = matrix_inner[:, :self.units] inner_r = matrix_inner[:, self.units: 2 * self.units] z = self.inner_activation(x_z + inner_z) r = self.inner_activation(x_r + inner_r) x_h = matrix_x[:, 2 * self.units:] inner_h = K.dot(r * h_tm1 * B_U[0], self.U[:, 2 * self.units:]) hh = self.activation(x_h + inner_h) else: if self.consume_less == 'cpu': x_z = x[:, :self.units] x_r = x[:, self.units: 2 * self.units] x_h = x[:, 2 * self.units:] elif self.consume_less == 'mem': x_z = K.dot(x * B_W[0], self.W_z) + self.b_z x_r = K.dot(x * B_W[1], self.W_r) + self.b_r x_h = K.dot(x * B_W[2], self.W_h) + self.b_h else: raise ValueError('Unknown `consume_less` mode.') z = self.inner_activation(x_z + K.dot(h_tm1 * B_U[0], self.U_z)) r = self.inner_activation(x_r + K.dot(h_tm1 * B_U[1], self.U_r)) hh = self.activation(x_h + K.dot(r * h_tm1 * B_U[2], self.U_h)) h = z * h_tm1 + (1 - z) * hh return h, [h]''' def get_constants(self, inputs, training=None): constants = [] '''if 0 < self.dropout_U < 1: ones = K.ones_like(K.reshape(x[:, 0, 0], (-1, 1))) ones = K.tile(ones, (1, self.units)) B_U = [K.in_train_phase(K.dropout(ones, self.dropout_U), ones) for _ in range(3)] constants.append(B_U) else: constants.append([K.cast_to_floatx(1.) for _ in range(3)]) if 0 < self.dropout_W < 1: input_shape = K.int_shape(x) input_dim = input_shape[-1] ones = K.ones_like(K.reshape(x[:, 0, 0], (-1, 1))) ones = K.tile(ones, (1, int(input_dim))) B_W = [K.in_train_phase(K.dropout(ones, self.dropout_W), ones) for _ in range(3)] constants.append(B_W) else:''' constants.append([K.cast_to_floatx(1.) for _ in range(3)]) return constants def get_config(self): config = {'units': self.units, 'kernel_initializer': initializers.serialize(self.kernel_initializer), 'recurrent_initializer': initializers.serialize(self.recurrent_initializer)} base_config = super(SSimpleAttention, self).get_config() return dict(list(base_config.items()) + list(config.items())) class SimpleAttention2(Recurrent): def __init__(self, units, h_dim, kernel_initializer='glorot_uniform', recurrent_initializer='orthogonal', **kwargs): self.units = units self.h_dim = h_dim self.kernel_initializer = initializers.get(kernel_initializer) self.recurrent_initializer = initializers.get(recurrent_initializer) super(SimpleAttention2, self).__init__(**kwargs) def build(self, input_shape): self.input_spec = [InputSpec(shape=input_shape)] self.input_dim = input_shape[2] - self.h_dim if self.stateful: self.reset_states() else: self.states = [None] self.Wa = self.add_weight((self.units, self.units), initializer=self.recurrent_initializer, name='{}_Wa'.format(self.name)) self.Ua = self.add_weight((self.h_dim, self.units), initializer=self.recurrent_initializer, name='{}_Ua'.format(self.name)) self.Va = self.add_weight((self.units,1), initializer=self.recurrent_initializer, name='{}_Va'.format(self.name)) self.Wzr = self.add_weight((self.input_dim, 2 * self.units), initializer=self.recurrent_initializer, name='{}_Wzr'.format(self.name)) self.Uzr = self.add_weight((self.units, 2 * self.units), initializer=self.recurrent_initializer, name='{}_Wzr'.format(self.name)) self.Czr = self.add_weight((self.h_dim, 2 * self.units), initializer=self.recurrent_initializer, name='{}_Czr'.format(self.name)) self.W = self.add_weight((self.input_dim, self.units), initializer=self.recurrent_initializer, name='{}_W'.format(self.name)) self.U = self.add_weight((self.units, self.units), initializer=self.recurrent_initializer, name='{}_U'.format(self.name)) self.C = self.add_weight((self.h_dim, self.units), initializer=self.recurrent_initializer, name='{}_C'.format(self.name)) self.built = True def reset_states(self): assert self.stateful, 'Layer must be stateful.' input_shape = self.input_spec[0].shape if not input_shape[0]: raise ValueError('If a RNN is stateful, a complete ' 'input_shape must be provided ' '(including batch size).') if hasattr(self, 'states'): K.set_value(self.states[0], np.zeros((input_shape[0], self.units))) else: self.states = [K.zeros((input_shape[0], self.units))] def preprocess_input(self, inputs, training=None): #self.ha = K.dot(self.h, self.Ua) #time_distributed_dense(self.h, self.Ua) return inputs def step(self, inputs, states): h_tm1 = states[0] # previous memory #B_U = states[1] # dropout matrices for recurrent units #B_W = states[2] h_tm1a = K.dot(h_tm1, self.Wa) eij = K.dot(K.tanh(h_tm1a + K.dot(inputs[:, :self.h_dim], self.Ua)), self.Va) eijs = K.repeat_elements(eij, self.h_dim, axis=1) #alphaij = K.softmax(eijs) # batchsize * lenh h batchsize * lenh * ndim #ci = K.permute_dimensions(K.permute_dimensions(self.h, [2,0,1]) * alphaij, [1,2,0]) #cisum = K.sum(ci, axis=1) cisum = eijs*inputs[:, :self.h_dim] #print(K.shape(cisum), cisum.shape, ci.shape, self.h.shape, alphaij.shape, x.shape) zr = K.sigmoid(K.dot(inputs[:, self.h_dim:], self.Wzr) + K.dot(h_tm1, self.Uzr) + K.dot(cisum, self.Czr)) zi = zr[:, :self.units] ri = zr[:, self.units: 2 * self.units] si_ = K.tanh(K.dot(inputs[:, self.h_dim:], self.W) + K.dot(ri*h_tm1, self.U) + K.dot(cisum, self.C)) si = (1-zi) * h_tm1 + zi * si_ return si, [si] #h_tm1, [h_tm1] def get_constants(self, inputs, training=None): constants = [] constants.append([K.cast_to_floatx(1.) for _ in range(3)]) return constants def get_config(self): config = {'units': self.units, 'kernel_initializer': initializers.serialize(self.kernel_initializer), 'recurrent_initializer': initializers.serialize(self.recurrent_initializer)} base_config = super(SimpleAttention2, self).get_config() return dict(list(base_config.items()) + list(config.items()))

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0.931884

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null

0

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1

0

null

0

7

d5f343ecaf2139fc94489f520f1bd1c5dd3f1372

5,752

py

Python

restraintlib/lib/PO4_terminal_C3.py

mkowiel/restraintlib

32de01d67ae290a45f3199e90c729acc258a6249

[ "BSD-3-Clause" ]

null

restraintlib/lib/PO4_terminal_C3.py

mkowiel/restraintlib

32de01d67ae290a45f3199e90c729acc258a6249

[ "BSD-3-Clause" ]

1

2021-11-11T18:45:10.000Z

restraintlib/lib/PO4_terminal_C3.py

mkowiel/restraintlib

32de01d67ae290a45f3199e90c729acc258a6249

[ "BSD-3-Clause" ]

null

PO4_3_TERMINAL_PDB_CODES = ['A', 'C', 'G', 'T', 'U', 'DA', 'DC', 'DG', 'DT', 'DU', 'IC', 'IG'] PO4_3_TERMINAL_ATOM_NAMES = { 'P': 'P', 'OP1': 'OP1', 'O1P': 'OP1', 'OP2': 'OP2', 'O2P': 'OP2', "OP3": "OP3", "O3P": "OP3", "O3'": "O3'", "O3*": "O3'", "C3'": "C3'", "C3*": "C3'", } PO4_3_TERMINAL_ATOM_RES = { 'P': 0, 'OP1': 0, 'OP2': 0, "OP3": 0, "O3'": -1, "C3'": -1, } PO4_3_TERMINAL_REQUIRED_CONDITION = { ("P", "O3'", 2.0, 0, -1), ("P", "OP1", 2.0, 0, 0), ("P", "OP2", 2.0, 0, 0), ("P", "OP3", 2.0, 0, 0), ("C3'", "O3'", 2.0, -1, -1), } PO4_3_TERMINAL_DISTANCE_MEASURE = { 'measure': 'euclidean_angles', 'restraint_names': ['aO1O2', 'aO1O3', 'aO1O5', 'aO2O3', 'aO2O5', 'aO3O5'] } PO4_3_TERMINAL_CONDITION_DISTANCE_MEASURE = { 'measure': 'euclidean_angles', 'restraint_names': ['tC3O3P4O5', 'tC5O5P4O3'] } PO4_3_TERMINAL_RESTRAINTS = [ { "conditions": [], "name": "PO4_Terminal==C3_0", "restraints": [ ["angle", "aO1O2", ["OP1", "P", "OP2"], 111.7, 1.0], ["angle", "aO1O3", ["OP1", "P", "OP3"], 114.0, 0.7], ["angle", "aO1O5", ["OP1", "P", "O3'"], 107.5, 0.7], ["angle", "aO2O3", ["OP2", "P", "OP3"], 112.8, 1.0], ["angle", "aO2O5", ["OP2", "P", "O3'"], 107.2, 0.8], ["angle", "aO3O5", ["OP3", "P", "O3'"], 102.8, 1.2], ["angle", "aP4O5C5", ["P", "O3'", "C3'"], 119.0, 2.2], ["dist", "dO1P4", ["OP1", "P"], 1.514, 0.009], ["dist", "dO2P4", ["OP2", "P"], 1.52, 0.009], ["dist", "dO3P4", ["OP3", "P"], 1.514, 0.01], ["dist", "dO5P4", ["O3'", "P"], 1.622, 0.009] ] }, { "conditions": [], "name": "PO4_Terminal==C3_1", "restraints": [ ["angle", "aO1O2", ["OP1", "P", "OP2"], 114.0, 0.7], ["angle", "aO1O3", ["OP1", "P", "OP3"], 111.7, 1.0], ["angle", "aO1O5", ["OP1", "P", "O3'"], 107.5, 0.7], ["angle", "aO2O3", ["OP2", "P", "OP3"], 112.8, 1.0], ["angle", "aO2O5", ["OP2", "P", "O3'"], 102.8, 1.2], ["angle", "aO3O5", ["OP3", "P", "O3'"], 107.2, 0.8], ["angle", "aP4O5C5", ["P", "O3'", "C3'"], 119.0, 2.2], ["dist", "dO1P4", ["OP1", "P"], 1.514, 0.009], ["dist", "dO2P4", ["OP2", "P"], 1.514, 0.01], ["dist", "dO3P4", ["OP3", "P"], 1.52, 0.009], ["dist", "dO5P4", ["O3'", "P"], 1.622, 0.009] ] }, { "conditions": [], "name": "PO4_Terminal==C3_2", "restraints": [ ["angle", "aO1O2", ["OP1", "P", "OP2"], 111.7, 1.0], ["angle", "aO1O3", ["OP1", "P", "OP3"], 112.8, 1.0], ["angle", "aO1O5", ["OP1", "P", "O3'"], 107.2, 0.8], ["angle", "aO2O3", ["OP2", "P", "OP3"], 114.0, 0.7], ["angle", "aO2O5", ["OP2", "P", "O3'"], 107.5, 0.7], ["angle", "aO3O5", ["OP3", "P", "O3'"], 102.8, 1.2], ["angle", "aP4O5C5", ["P", "O3'", "C3'"], 119.0, 2.2], ["dist", "dO1P4", ["OP1", "P"], 1.52, 0.009], ["dist", "dO2P4", ["OP2", "P"], 1.514, 0.009], ["dist", "dO3P4", ["OP3", "P"], 1.514, 0.01], ["dist", "dO5P4", ["O3'", "P"], 1.622, 0.009] ] }, { "conditions": [], "name": "PO4_Terminal==C3_3", "restraints": [ ["angle", "aO1O2", ["OP1", "P", "OP2"], 114.0, 0.7], ["angle", "aO1O3", ["OP1", "P", "OP3"], 112.8, 1.0], ["angle", "aO1O5", ["OP1", "P", "O3'"], 102.8, 1.2], ["angle", "aO2O3", ["OP2", "P", "OP3"], 111.7, 1.0], ["angle", "aO2O5", ["OP2", "P", "O3'"], 107.5, 0.7], ["angle", "aO3O5", ["OP3", "P", "O3'"], 107.2, 0.8], ["angle", "aP4O5C5", ["P", "O3'", "C3'"], 119.0, 2.2], ["dist", "dO1P4", ["OP1", "P"], 1.514, 0.01], ["dist", "dO2P4", ["OP2", "P"], 1.514, 0.009], ["dist", "dO3P4", ["OP3", "P"], 1.52, 0.009], ["dist", "dO5P4", ["O3'", "P"], 1.622, 0.009] ] }, { "conditions": [], "name": "PO4_Terminal==C3_4", "restraints": [ ["angle", "aO1O2", ["OP1", "P", "OP2"], 112.8, 1.0], ["angle", "aO1O3", ["OP1", "P", "OP3"], 111.7, 1.0], ["angle", "aO1O5", ["OP1", "P", "O3'"], 107.2, 0.8], ["angle", "aO2O3", ["OP2", "P", "OP3"], 114.0, 0.7], ["angle", "aO2O5", ["OP2", "P", "O3'"], 102.8, 1.2], ["angle", "aO3O5", ["OP3", "P", "O3'"], 107.5, 0.7], ["angle", "aP4O5C5", ["P", "O3'", "C3'"], 119.0, 2.2], ["dist", "dO1P4", ["OP1", "P"], 1.52, 0.009], ["dist", "dO2P4", ["OP2", "P"], 1.514, 0.01], ["dist", "dO3P4", ["OP3", "P"], 1.514, 0.009], ["dist", "dO5P4", ["O3'", "P"], 1.622, 0.009] ] }, { "conditions": [], "name": "PO4_Terminal=C3_5", "restraints": [ ["angle", "aO1O2", ["OP1", "P", "OP2"], 112.8, 1.0], ["angle", "aO1O3", ["OP1", "P", "OP3"], 114.0, 0.7], ["angle", "aO1O5", ["OP1", "P", "O3'"], 102.8, 1.2], ["angle", "aO2O3", ["OP2", "P", "OP3"], 111.7, 1.0], ["angle", "aO2O5", ["OP2", "P", "O3'"], 107.2, 0.8], ["angle", "aO3O5", ["OP3", "P", "O3'"], 107.5, 0.7], ["angle", "aP4O5C5", ["P", "O3'", "C3'"], 119.0, 2.2], ["dist", "dO1P4", ["OP1", "P"], 1.514, 0.01], ["dist", "dO2P4", ["OP2", "P"], 1.52, 0.009], ["dist", "dO3P4", ["OP3", "P"], 1.514, 0.009], ["dist", "dO5P4", ["O3'", "P"], 1.622, 0.009] ] } ]

38.604027

94

0.370654

741

5,752

2.817814

0.097166

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0.04023

0.034483

0.846743

0.829023

0.780172

0

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0.303547

5,752

148

95

38.864865

0.324763

0

0.567376

0

0.266388

0

1

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false

0

null

0

1

0

1

0

null

0

7

910b6b88ea975d920aecefb4438de57674798b7a

39,787

py

Python

hermes_fix/message_lib/FIX_4_1/fix_messages.py

yabov/hermes_fix

0a5e89fd15903a7ee0929e82b39879362e2e1008

[ "Apache-2.0" ]

2

2020-02-20T15:00:35.000Z

2020-02-21T19:27:53.000Z

hermes_fix/message_lib/FIX_4_1/fix_messages.py

yabov/hermes_fix

0a5e89fd15903a7ee0929e82b39879362e2e1008

[ "Apache-2.0" ]

3

2020-02-21T03:25:35.000Z

2020-02-21T18:37:42.000Z

hermes_fix/message_lib/FIX_4_1/fix_messages.py

yabov/hermes_fix

0a5e89fd15903a7ee0929e82b39879362e2e1008

[ "Apache-2.0" ]

null

from ... import fix_message from . import fields from . import field_types BEGINSTRING = 'FIX.4.1' MESSAGE_TYPES = {} class Header(fix_message.MessageBase): def __init__(self): super().__init__() register_StandardHeader_component(self) class Trailer(fix_message.MessageBase): def __init__(self): super().__init__() register_StandardTrailer_component(self) ##############Begin Repeating Groups############### class NoIOIQualifiersGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.IOIQualifier, False) class NoRelatedSymGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.RelatdSym, False) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.SecurityDesc, False) class LinesOfTextGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.Text, True) class NoOrdersGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.ClOrdID, False) self.register_field(fields.OrderID, False) self.register_field(fields.SecondaryOrderID, False) self.register_field(fields.ListID, False) self.register_field(fields.WaveNo, False) class NoExecsGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.LastShares, False) self.register_field(fields.ExecID, False) self.register_field(fields.LastPx, False) self.register_field(fields.LastCapacity, False) class NoAllocsGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.AllocAccount, False) self.register_field(fields.AllocShares, True) self.register_field(fields.ProcessCode, False) self.register_field(fields.BrokerOfCredit, False) self.register_field(fields.NotifyBrokerOfCredit, False) self.register_field(fields.AllocHandlInst, False) self.register_field(fields.AllocText, False) self.register_field(fields.ExecBroker, False) self.register_field(fields.ClientID, False) self.register_field(fields.Commission, False) self.register_field(fields.CommType, False) self.register_field(fields.AllocAvgPx, False) self.register_field(fields.AllocNetMoney, False) self.register_field(fields.SettlCurrAmt, False) self.register_field(fields.SettlCurrency, False) self.register_field(fields.SettlCurrFxRate, False) self.register_field(fields.SettlCurrFxRateCalc, False) self.register_field(fields.AccruedInterestAmt, False) self.register_field(fields.SettlInstMode, False) self.register_group(fields.NoMiscFees, NoMiscFeesGroup, False) class NoMiscFeesGroup(fix_message.FIXGroup): def __init__(self, value = None): super().__init__(value) self.register_field(fields.MiscFeeAmt, False) self.register_field(fields.MiscFeeCurr, False) self.register_field(fields.MiscFeeType, False) ##############End Repeating Groups############### ##############Begin Componenets############### def register_StandardHeader_component(self): self.register_field(fields.BeginString, True) self.register_field(fields.BodyLength, True) self.register_field(fields.MsgType, True) self.register_field(fields.SenderCompID, True) self.register_field(fields.TargetCompID, True) self.register_field(fields.OnBehalfOfCompID, False) self.register_field(fields.DeliverToCompID, False) self.register_field(fields.SecureDataLen, False) self.register_field(fields.SecureData, False) self.register_field(fields.MsgSeqNum, True) self.register_field(fields.SenderSubID, False) self.register_field(fields.SenderLocationID, False) self.register_field(fields.TargetSubID, False) self.register_field(fields.TargetLocationID, False) self.register_field(fields.OnBehalfOfSubID, False) self.register_field(fields.OnBehalfOfLocationID, False) self.register_field(fields.DeliverToSubID, False) self.register_field(fields.DeliverToLocationID, False) self.register_field(fields.PossDupFlag, False) self.register_field(fields.PossResend, False) self.register_field(fields.SendingTime, True) self.register_field(fields.OrigSendingTime, False) def register_StandardTrailer_component(self): self.register_field(fields.SignatureLength, False) self.register_field(fields.Signature, False) self.register_field(fields.CheckSum, True) ##############End Componenets############### class Heartbeat(fix_message.MessageBase): _msgtype = '0' _msgcat = 'admin' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.TestReqID, False) MESSAGE_TYPES['0'] = Heartbeat class TestRequest(fix_message.MessageBase): _msgtype = '1' _msgcat = 'admin' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.TestReqID, True) MESSAGE_TYPES['1'] = TestRequest class ResendRequest(fix_message.MessageBase): _msgtype = '2' _msgcat = 'admin' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.BeginSeqNo, True) self.register_field(fields.EndSeqNo, True) MESSAGE_TYPES['2'] = ResendRequest class Reject(fix_message.MessageBase): _msgtype = '3' _msgcat = 'admin' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.RefSeqNum, True) self.register_field(fields.Text, False) MESSAGE_TYPES['3'] = Reject class SequenceReset(fix_message.MessageBase): _msgtype = '4' _msgcat = 'admin' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.GapFillFlag, False) self.register_field(fields.NewSeqNo, True) MESSAGE_TYPES['4'] = SequenceReset class Logout(fix_message.MessageBase): _msgtype = '5' _msgcat = 'admin' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.Text, False) MESSAGE_TYPES['5'] = Logout class IOI(fix_message.MessageBase): _msgtype = '6' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.IOIid, True) self.register_field(fields.IOITransType, True) self.register_field(fields.IOIRefID, False) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.Side, True) self.register_field(fields.IOIShares, True) self.register_field(fields.Price, False) self.register_field(fields.Currency, False) self.register_field(fields.ValidUntilTime, False) self.register_field(fields.IOIQltyInd, False) self.register_field(fields.IOIOthSvc, False) self.register_field(fields.IOINaturalFlag, False) self.register_group(fields.NoIOIQualifiers, NoIOIQualifiersGroup, False) self.register_field(fields.Text, False) self.register_field(fields.TransactTime, False) self.register_field(fields.URLLink, False) MESSAGE_TYPES['6'] = IOI class Advertisement(fix_message.MessageBase): _msgtype = '7' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.AdvId, True) self.register_field(fields.AdvTransType, True) self.register_field(fields.AdvRefID, False) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.AdvSide, True) self.register_field(fields.Shares, True) self.register_field(fields.Price, False) self.register_field(fields.Currency, False) self.register_field(fields.TradeDate, False) self.register_field(fields.TransactTime, False) self.register_field(fields.Text, False) self.register_field(fields.URLLink, False) self.register_field(fields.LastMkt, False) MESSAGE_TYPES['7'] = Advertisement class ExecutionReport(fix_message.MessageBase): _msgtype = '8' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.OrderID, True) self.register_field(fields.SecondaryOrderID, False) self.register_field(fields.ClOrdID, False) self.register_field(fields.OrigClOrdID, False) self.register_field(fields.ClientID, False) self.register_field(fields.ExecBroker, False) self.register_field(fields.ListID, False) self.register_field(fields.ExecID, True) self.register_field(fields.ExecTransType, True) self.register_field(fields.ExecRefID, False) self.register_field(fields.ExecType, True) self.register_field(fields.OrdStatus, True) self.register_field(fields.OrdRejReason, False) self.register_field(fields.Account, False) self.register_field(fields.SettlmntTyp, False) self.register_field(fields.FutSettDate, False) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.Side, True) self.register_field(fields.OrderQty, True) self.register_field(fields.OrdType, False) self.register_field(fields.Price, False) self.register_field(fields.StopPx, False) self.register_field(fields.PegDifference, False) self.register_field(fields.Currency, False) self.register_field(fields.TimeInForce, False) self.register_field(fields.ExpireTime, False) self.register_field(fields.ExecInst, False) self.register_field(fields.Rule80A, False) self.register_field(fields.LastShares, True) self.register_field(fields.LastPx, True) self.register_field(fields.LastSpotRate, False) self.register_field(fields.LastForwardPoints, False) self.register_field(fields.LastMkt, False) self.register_field(fields.LastCapacity, False) self.register_field(fields.LeavesQty, True) self.register_field(fields.CumQty, True) self.register_field(fields.AvgPx, True) self.register_field(fields.TradeDate, False) self.register_field(fields.TransactTime, False) self.register_field(fields.ReportToExch, False) self.register_field(fields.Commission, False) self.register_field(fields.CommType, False) self.register_field(fields.SettlCurrAmt, False) self.register_field(fields.SettlCurrency, False) self.register_field(fields.SettlCurrFxRate, False) self.register_field(fields.SettlCurrFxRateCalc, False) self.register_field(fields.Text, False) MESSAGE_TYPES['8'] = ExecutionReport class OrderCancelReject(fix_message.MessageBase): _msgtype = '9' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.OrderID, True) self.register_field(fields.SecondaryOrderID, False) self.register_field(fields.ClOrdID, True) self.register_field(fields.OrigClOrdID, True) self.register_field(fields.OrdStatus, True) self.register_field(fields.ClientID, False) self.register_field(fields.ExecBroker, False) self.register_field(fields.ListID, False) self.register_field(fields.CxlRejReason, False) self.register_field(fields.Text, False) MESSAGE_TYPES['9'] = OrderCancelReject class Logon(fix_message.MessageBase): _msgtype = 'A' _msgcat = 'admin' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.EncryptMethod, True) self.register_field(fields.HeartBtInt, True) self.register_field(fields.RawDataLength, False) self.register_field(fields.RawData, False) self.register_field(fields.ResetSeqNumFlag, False) MESSAGE_TYPES['A'] = Logon class News(fix_message.MessageBase): _msgtype = 'B' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.OrigTime, False) self.register_field(fields.Urgency, False) self.register_field(fields.Headline, True) self.register_group(fields.NoRelatedSym, NoRelatedSymGroup, False) self.register_group(fields.LinesOfText, LinesOfTextGroup, True) self.register_field(fields.URLLink, False) self.register_field(fields.RawDataLength, False) self.register_field(fields.RawData, False) MESSAGE_TYPES['B'] = News class Email(fix_message.MessageBase): _msgtype = 'C' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.EmailThreadID, True) self.register_field(fields.EmailType, True) self.register_field(fields.OrigTime, False) self.register_field(fields.Subject, True) self.register_group(fields.NoRelatedSym, NoRelatedSymGroup, False) self.register_field(fields.OrderID, False) self.register_field(fields.ClOrdID, False) self.register_group(fields.LinesOfText, LinesOfTextGroup, True) self.register_field(fields.RawDataLength, False) self.register_field(fields.RawData, False) MESSAGE_TYPES['C'] = Email class OrderSingle(fix_message.MessageBase): _msgtype = 'D' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.ClOrdID, True) self.register_field(fields.ClientID, False) self.register_field(fields.ExecBroker, False) self.register_field(fields.Account, False) self.register_field(fields.SettlmntTyp, False) self.register_field(fields.FutSettDate, False) self.register_field(fields.HandlInst, True) self.register_field(fields.ExecInst, False) self.register_field(fields.MinQty, False) self.register_field(fields.MaxFloor, False) self.register_field(fields.ExDestination, False) self.register_field(fields.ProcessCode, False) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.PrevClosePx, False) self.register_field(fields.Side, True) self.register_field(fields.LocateReqd, False) self.register_field(fields.OrderQty, False) self.register_field(fields.CashOrderQty, False) self.register_field(fields.OrdType, True) self.register_field(fields.Price, False) self.register_field(fields.StopPx, False) self.register_field(fields.Currency, False) self.register_field(fields.IOIid, False) self.register_field(fields.QuoteID, False) self.register_field(fields.TimeInForce, False) self.register_field(fields.ExpireTime, False) self.register_field(fields.Commission, False) self.register_field(fields.CommType, False) self.register_field(fields.Rule80A, False) self.register_field(fields.ForexReq, False) self.register_field(fields.SettlCurrency, False) self.register_field(fields.Text, False) self.register_field(fields.FutSettDate2, False) self.register_field(fields.OrderQty2, False) self.register_field(fields.OpenClose, False) self.register_field(fields.CoveredOrUncovered, False) self.register_field(fields.CustomerOrFirm, False) self.register_field(fields.MaxShow, False) self.register_field(fields.PegDifference, False) MESSAGE_TYPES['D'] = OrderSingle class OrderList(fix_message.MessageBase): _msgtype = 'E' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.ListID, True) self.register_field(fields.WaveNo, False) self.register_field(fields.ListSeqNo, True) self.register_field(fields.ListNoOrds, True) self.register_field(fields.ListExecInst, False) self.register_field(fields.ClOrdID, True) self.register_field(fields.ClientID, False) self.register_field(fields.ExecBroker, False) self.register_field(fields.Account, False) self.register_field(fields.SettlmntTyp, False) self.register_field(fields.FutSettDate, False) self.register_field(fields.HandlInst, True) self.register_field(fields.ExecInst, False) self.register_field(fields.MinQty, False) self.register_field(fields.MaxFloor, False) self.register_field(fields.ExDestination, False) self.register_field(fields.ProcessCode, False) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.PrevClosePx, False) self.register_field(fields.Side, True) self.register_field(fields.LocateReqd, False) self.register_field(fields.OrderQty, True) self.register_field(fields.OrdType, True) self.register_field(fields.Price, False) self.register_field(fields.StopPx, False) self.register_field(fields.PegDifference, False) self.register_field(fields.Currency, False) self.register_field(fields.TimeInForce, False) self.register_field(fields.ExpireTime, False) self.register_field(fields.Commission, False) self.register_field(fields.CommType, False) self.register_field(fields.Rule80A, False) self.register_field(fields.ForexReq, False) self.register_field(fields.SettlCurrency, False) self.register_field(fields.Text, False) self.register_field(fields.FutSettDate2, False) self.register_field(fields.OrderQty2, False) self.register_field(fields.OpenClose, False) self.register_field(fields.CoveredOrUncovered, False) self.register_field(fields.CustomerOrFirm, False) self.register_field(fields.MaxShow, False) MESSAGE_TYPES['E'] = OrderList class OrderCancelRequest(fix_message.MessageBase): _msgtype = 'F' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.OrigClOrdID, True) self.register_field(fields.OrderID, False) self.register_field(fields.ClOrdID, True) self.register_field(fields.ListID, False) self.register_field(fields.ClientID, False) self.register_field(fields.ExecBroker, False) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.Side, True) self.register_field(fields.OrderQty, False) self.register_field(fields.CashOrderQty, False) self.register_field(fields.Text, False) MESSAGE_TYPES['F'] = OrderCancelRequest class OrderCancelReplaceRequest(fix_message.MessageBase): _msgtype = 'G' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.OrderID, False) self.register_field(fields.ClientID, False) self.register_field(fields.ExecBroker, False) self.register_field(fields.OrigClOrdID, True) self.register_field(fields.ClOrdID, True) self.register_field(fields.ListID, False) self.register_field(fields.Account, False) self.register_field(fields.SettlmntTyp, False) self.register_field(fields.FutSettDate, False) self.register_field(fields.HandlInst, True) self.register_field(fields.ExecInst, False) self.register_field(fields.MinQty, False) self.register_field(fields.MaxFloor, False) self.register_field(fields.ExDestination, False) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.Side, True) self.register_field(fields.OrderQty, False) self.register_field(fields.CashOrderQty, False) self.register_field(fields.OrdType, True) self.register_field(fields.Price, False) self.register_field(fields.StopPx, False) self.register_field(fields.PegDifference, False) self.register_field(fields.Currency, False) self.register_field(fields.TimeInForce, False) self.register_field(fields.ExpireTime, False) self.register_field(fields.Commission, False) self.register_field(fields.CommType, False) self.register_field(fields.Rule80A, False) self.register_field(fields.ForexReq, False) self.register_field(fields.SettlCurrency, False) self.register_field(fields.Text, False) self.register_field(fields.FutSettDate2, False) self.register_field(fields.OrderQty2, False) self.register_field(fields.OpenClose, False) self.register_field(fields.CoveredOrUncovered, False) self.register_field(fields.CustomerOrFirm, False) self.register_field(fields.MaxShow, False) self.register_field(fields.LocateReqd, False) MESSAGE_TYPES['G'] = OrderCancelReplaceRequest class OrderStatusRequest(fix_message.MessageBase): _msgtype = 'H' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.OrderID, False) self.register_field(fields.ClOrdID, True) self.register_field(fields.ClientID, False) self.register_field(fields.ExecBroker, False) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.Side, True) MESSAGE_TYPES['H'] = OrderStatusRequest class Allocation(fix_message.MessageBase): _msgtype = 'J' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.AllocID, True) self.register_field(fields.AllocTransType, True) self.register_field(fields.RefAllocID, False) self.register_field(fields.AllocLinkID, False) self.register_field(fields.AllocLinkType, False) self.register_group(fields.NoOrders, NoOrdersGroup, False) self.register_group(fields.NoExecs, NoExecsGroup, False) self.register_field(fields.Side, True) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.Shares, True) self.register_field(fields.LastMkt, False) self.register_field(fields.AvgPx, True) self.register_field(fields.Currency, False) self.register_field(fields.AvgPrxPrecision, False) self.register_field(fields.TradeDate, True) self.register_field(fields.TransactTime, False) self.register_field(fields.SettlmntTyp, False) self.register_field(fields.FutSettDate, False) self.register_field(fields.NetMoney, False) self.register_field(fields.OpenClose, False) self.register_field(fields.Text, False) self.register_field(fields.NumDaysInterest, False) self.register_field(fields.AccruedInterestRate, False) self.register_group(fields.NoAllocs, NoAllocsGroup, False) MESSAGE_TYPES['J'] = Allocation class ListCancelRequest(fix_message.MessageBase): _msgtype = 'K' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.ListID, True) self.register_field(fields.WaveNo, False) self.register_field(fields.Text, False) MESSAGE_TYPES['K'] = ListCancelRequest class ListExecute(fix_message.MessageBase): _msgtype = 'L' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.ListID, True) self.register_field(fields.WaveNo, False) self.register_field(fields.Text, False) MESSAGE_TYPES['L'] = ListExecute class ListStatusRequest(fix_message.MessageBase): _msgtype = 'M' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.ListID, True) self.register_field(fields.WaveNo, False) self.register_field(fields.Text, False) MESSAGE_TYPES['M'] = ListStatusRequest class ListStatus(fix_message.MessageBase): _msgtype = 'N' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.ListID, True) self.register_field(fields.WaveNo, False) self.register_field(fields.NoRpts, True) self.register_field(fields.RptSeq, True) self.register_group(fields.NoOrders, NoOrdersGroup, True) MESSAGE_TYPES['N'] = ListStatus class AllocationInstructionAck(fix_message.MessageBase): _msgtype = 'P' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.ClientID, False) self.register_field(fields.ExecBroker, False) self.register_field(fields.AllocID, True) self.register_field(fields.TradeDate, True) self.register_field(fields.TransactTime, False) self.register_field(fields.AllocStatus, True) self.register_field(fields.AllocRejCode, False) self.register_field(fields.Text, False) MESSAGE_TYPES['P'] = AllocationInstructionAck class DontKnowTrade(fix_message.MessageBase): _msgtype = 'Q' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.OrderID, False) self.register_field(fields.ExecID, False) self.register_field(fields.DKReason, True) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.Side, True) self.register_field(fields.OrderQty, False) self.register_field(fields.CashOrderQty, False) self.register_field(fields.LastShares, False) self.register_field(fields.LastPx, False) self.register_field(fields.Text, False) MESSAGE_TYPES['Q'] = DontKnowTrade class QuoteRequest(fix_message.MessageBase): _msgtype = 'R' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.QuoteReqID, True) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.PrevClosePx, False) self.register_field(fields.Side, False) self.register_field(fields.OrderQty, False) self.register_field(fields.FutSettDate, False) self.register_field(fields.OrdType, False) self.register_field(fields.FutSettDate2, False) self.register_field(fields.OrderQty2, False) MESSAGE_TYPES['R'] = QuoteRequest class Quote(fix_message.MessageBase): _msgtype = 'S' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.QuoteReqID, False) self.register_field(fields.QuoteID, True) self.register_field(fields.Symbol, True) self.register_field(fields.SymbolSfx, False) self.register_field(fields.SecurityID, False) self.register_field(fields.IDSource, False) self.register_field(fields.SecurityType, False) self.register_field(fields.MaturityMonthYear, False) self.register_field(fields.MaturityDay, False) self.register_field(fields.PutOrCall, False) self.register_field(fields.StrikePrice, False) self.register_field(fields.OptAttribute, False) self.register_field(fields.SecurityExchange, False) self.register_field(fields.Issuer, False) self.register_field(fields.SecurityDesc, False) self.register_field(fields.BidPx, False) self.register_field(fields.OfferPx, False) self.register_field(fields.BidSize, False) self.register_field(fields.OfferSize, False) self.register_field(fields.ValidUntilTime, False) self.register_field(fields.BidSpotRate, False) self.register_field(fields.OfferSpotRate, False) self.register_field(fields.BidForwardPoints, False) self.register_field(fields.OfferForwardPoints, False) self.register_field(fields.TransactTime, False) self.register_field(fields.FutSettDate, False) self.register_field(fields.OrdType, False) self.register_field(fields.FutSettDate2, False) self.register_field(fields.OrderQty2, False) MESSAGE_TYPES['S'] = Quote class SettlementInstructions(fix_message.MessageBase): _msgtype = 'T' _msgcat = 'app' def __init__(self): self.Header = Header() self.Trailer = Trailer() super().__init__() self.register_field(fields.SettlInstID, True) self.register_field(fields.SettlInstTransType, True) self.register_field(fields.SettlInstMode, True) self.register_field(fields.SettlInstSource, True) self.register_field(fields.AllocAccount, True) self.register_field(fields.SettlLocation, False) self.register_field(fields.TradeDate, False) self.register_field(fields.AllocID, False) self.register_field(fields.LastMkt, False) self.register_field(fields.Side, False) self.register_field(fields.SecurityType, False) self.register_field(fields.EffectiveTime, False) self.register_field(fields.TransactTime, True) self.register_field(fields.ClientID, False) self.register_field(fields.ExecBroker, False) self.register_field(fields.StandInstDbType, False) self.register_field(fields.StandInstDbName, False) self.register_field(fields.StandInstDbID, False) self.register_field(fields.SettlDeliveryType, False) self.register_field(fields.SettlDepositoryCode, False) self.register_field(fields.SettlBrkrCode, False) self.register_field(fields.SettlInstCode, False) self.register_field(fields.SecuritySettlAgentName, False) self.register_field(fields.SecuritySettlAgentCode, False) self.register_field(fields.SecuritySettlAgentAcctNum, False) self.register_field(fields.SecuritySettlAgentAcctName, False) self.register_field(fields.SecuritySettlAgentContactName, False) self.register_field(fields.SecuritySettlAgentContactPhone, False) self.register_field(fields.CashSettlAgentName, False) self.register_field(fields.CashSettlAgentCode, False) self.register_field(fields.CashSettlAgentAcctNum, False) self.register_field(fields.CashSettlAgentAcctName, False) self.register_field(fields.CashSettlAgentContactName, False) self.register_field(fields.CashSettlAgentContactPhone, False) MESSAGE_TYPES['T'] = SettlementInstructions

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0.488891

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0.738679

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39,787

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null

1

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1

0

null

0

10

9151d54c04cf215ad60e94743eddf4617a09973f

3,919

py

Python

demonstrations.py

Video-Lab/turtlepatterns

96a2a645e35c47f51af060f4a0a2042aade56b7e

[ "MIT" ]

null

demonstrations.py

Video-Lab/turtlepatterns

96a2a645e35c47f51af060f4a0a2042aade56b7e

[ "MIT" ]

null

demonstrations.py

Video-Lab/turtlepatterns

96a2a645e35c47f51af060f4a0a2042aade56b7e

[ "MIT" ]

1

2020-12-12T12:48:27.000Z

# === DEMONSTRATIONS === # All functions in this file are inverted, use squares, use fill, use random colors, are instantly drawn, & have 20 iterations. # Modular patterns use a divider of 3. from turtlepatterns import * import math import random t = TurtlePatterns(numSides=4, color=None, bgColor="#ffffff") # === LINEAR === # t.shapePattern(numIter=20, invert=True, fill=True, func=lambda x: x, instant=True) # Linear w/ slope of 1 # t.shapePattern(numIter=20, invert=True, fill=True, func=lambda x: 2*x, instant=True) # Linear w/ slope of 2 # t.shapePattern(numIter=20, invert=True, fill=True, func=lambda x: 0.5*x, instant=True) # Linear w/ slope of 1/2 # t.modularPattern(numIter=20, invert=True, fill=True, func=lambda x: x, instant=True, divider=3) # Linear w/ slope of 1 # t.modularPattern(numIter=20, invert=True, fill=True, func=lambda x: 2*x, instant=True, divider=3) # Linear w/ slope of 2 # t.modularPattern(numIter=20, invert=True, fill=True, func=lambda x: 0.5*x, instant=True, divider=3) # Linear w/ slope of 1/2 # === POLYNOMIAL === # t.shapePattern(numIter=20, invert=True, fill=True, func=lambda x: x**2, instant=True) # Squared # t.shapePattern(numIter=20, invert=True, fill=True, func=lambda x: x**3, instant=True) # Cubed # t.shapePattern(numIter=20, invert=True, fill=True, func=lambda x: x**4, instant=True) # Fourth Power # t.modularPattern(numIter=20, invert=True, fill=True, func=lambda x: x**2, instant=True, divider=3) # Squared # t.modularPattern(numIter=20, invert=True, fill=True, func=lambda x: x**3, instant=True, divider=3) # Cubed # t.modularPattern(numIter=20, invert=True, fill=True, func=lambda x: x**4, instant=True, divider=3) # Fourth Power # === EXPONENTIAL === # t.shapePattern(numIter=20, invert=True, fill=True, func=lambda x: 2**x, instant=True) # 2^x # t.shapePattern(numIter=20, invert=True, fill=True, func=lambda x: 3**x, instant=True) # 3^x # t.shapePattern(numIter=20, invert=True, fill=True, func=lambda x: math.exp(x), instant=True) # e^x # t.modularPattern(numIter=20, invert=True, fill=True, func=lambda x: 2**x, instant=True, divider=3) # 2^x # t.modularPattern(numIter=20, invert=True, fill=True, func=lambda x: 3**x, instant=True, divider=3) # 3^x # t.modularPattern(numIter=20, invert=True, fill=True, func=lambda x: math.exp(x), instant=True, divider=3) # e^x # === TRIGONOMETRIC === # t.shapePattern(numIter=20, invert=True, fill=True, func=lambda x: 50*math.sin(x), instant=True) # Sine # t.shapePattern(numIter=20, invert=True, fill=True, func=lambda x: 50*math.cos(x), instant=True) # Cosine # t.modularPattern(numIter=20, invert=True, fill=True, func=lambda x: 50*math.sin(x), instant=True, divider=3) # Sine # t.modularPattern(numIter=20, invert=True, fill=True, func=lambda x: 50*math.cos(x), instant=True, divider=3) # Cosine # === MODULAR === # t.shapePattern(numIter=200, invert=True, fill=True, func=lambda x: x*(x%2), instant=True) # x mod 2 (divisible by 2) # t.shapePattern(numIter=20, invert=True, fill=True, func=lambda x: x*(x%6), instant=True) # x mod 6 (divisibile by 6) # t.modularPattern(numIter=200, invert=True, fill=True, func=lambda x: x*(x%2), instant=True, divider=3) # x mod 2 (divisible by 2) # t.modularPattern(numIter=20, invert=True, fill=True, func=lambda x: x*(x%6), instant=True, divider=3) # x mod 6 (divisibile by 6) # === RANDOM === # t.shapePattern(numIter=20, invert=True, fill=True, func=lambda x: random.randint(1,100), instant=True) # Random size from 1 to 100 # t.shapePattern(numIter=20, invert=True, fill=True, func=lambda x: random.randint(1,500), instant=True) # Random size from 1 to 500 # t.modularPattern(numIter=20, invert=True, fill=True, func=lambda x: random.randint(1,100), instant=True, divider=3) # Random size from 1 to 100 # t.modularPattern(numIter=20, invert=True, fill=True, func=lambda x: random.randint(1,500), instant=True, divider=3) # Random size from 1 to 500 turtle.done()

66.423729

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3,919

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0.107296

0.150215

0.193133

0.852289

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3,919

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0.6

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null

0

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0

1

0

null

0

1

0

1

0

10

e673ef5103ecff4865bca3e0cc33c6c81c72946e

435,122

py

Python

doc/eagle.py

lambdafu/schematic-file-converter

db84220de12da07f5fd577020feb5fa20f707e68

[ "Apache-2.0" ]

1

2019-11-24T15:03:56.000Z

doc/eagle.py

lambdafu/schematic-file-converter

db84220de12da07f5fd577020feb5fa20f707e68

[ "Apache-2.0" ]

null

doc/eagle.py

lambdafu/schematic-file-converter

db84220de12da07f5fd577020feb5fa20f707e68

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # # Generated Wed Nov 9 18:31:45 2011 by generateDS.py version 2.7a. # import sys import getopt import re as re_ etree_ = None Verbose_import_ = False ( XMLParser_import_none, XMLParser_import_lxml, XMLParser_import_elementtree ) = range(3) XMLParser_import_library = None try: # lxml from lxml import etree as etree_ XMLParser_import_library = XMLParser_import_lxml if Verbose_import_: print("running with lxml.etree") except ImportError: try: # cElementTree from Python 2.5+ import xml.etree.cElementTree as etree_ XMLParser_import_library = XMLParser_import_elementtree if Verbose_import_: print("running with cElementTree on Python 2.5+") except ImportError: try: # ElementTree from Python 2.5+ import xml.etree.ElementTree as etree_ XMLParser_import_library = XMLParser_import_elementtree if Verbose_import_: print("running with ElementTree on Python 2.5+") except ImportError: try: # normal cElementTree install import cElementTree as etree_ XMLParser_import_library = XMLParser_import_elementtree if Verbose_import_: print("running with cElementTree") except ImportError: try: # normal ElementTree install import elementtree.ElementTree as etree_ XMLParser_import_library = XMLParser_import_elementtree if Verbose_import_: print("running with ElementTree") except ImportError: raise ImportError("Failed to import ElementTree from any known place") def parsexml_(*args, **kwargs): if (XMLParser_import_library == XMLParser_import_lxml and 'parser' not in kwargs): # Use the lxml ElementTree compatible parser so that, e.g., # we ignore comments. kwargs['parser'] = etree_.ETCompatXMLParser() doc = etree_.parse(*args, **kwargs) return doc # # User methods # # Calls to the methods in these classes are generated by generateDS.py. # You can replace these methods by re-implementing the following class # in a module named generatedssuper.py. try: from generatedssuper import GeneratedsSuper except ImportError, exp: class GeneratedsSuper(object): def gds_format_string(self, input_data, input_name=''): return input_data def gds_validate_string(self, input_data, node, input_name=''): return input_data def gds_format_integer(self, input_data, input_name=''): return '%d' % input_data def gds_validate_integer(self, input_data, node, input_name=''): return input_data def gds_format_integer_list(self, input_data, input_name=''): return '%s' % input_data def gds_validate_integer_list(self, input_data, node, input_name=''): values = input_data.split() for value in values: try: fvalue = float(value) except (TypeError, ValueError), exp: raise_parse_error(node, 'Requires sequence of integers') return input_data def gds_format_float(self, input_data, input_name=''): return '%f' % input_data def gds_validate_float(self, input_data, node, input_name=''): return input_data def gds_format_float_list(self, input_data, input_name=''): return '%s' % input_data def gds_validate_float_list(self, input_data, node, input_name=''): values = input_data.split() for value in values: try: fvalue = float(value) except (TypeError, ValueError), exp: raise_parse_error(node, 'Requires sequence of floats') return input_data def gds_format_double(self, input_data, input_name=''): return '%e' % input_data def gds_validate_double(self, input_data, node, input_name=''): return input_data def gds_format_double_list(self, input_data, input_name=''): return '%s' % input_data def gds_validate_double_list(self, input_data, node, input_name=''): values = input_data.split() for value in values: try: fvalue = float(value) except (TypeError, ValueError), exp: raise_parse_error(node, 'Requires sequence of doubles') return input_data def gds_format_boolean(self, input_data, input_name=''): return '%s' % input_data def gds_validate_boolean(self, input_data, node, input_name=''): return input_data def gds_format_boolean_list(self, input_data, input_name=''): return '%s' % input_data def gds_validate_boolean_list(self, input_data, node, input_name=''): values = input_data.split() for value in values: if value not in ('true', '1', 'false', '0', ): raise_parse_error(node, 'Requires sequence of booleans ("true", "1", "false", "0")') return input_data def gds_str_lower(self, instring): return instring.lower() def get_path_(self, node): path_list = [] self.get_path_list_(node, path_list) path_list.reverse() path = '/'.join(path_list) return path Tag_strip_pattern_ = re_.compile(r'\{.*\}') def get_path_list_(self, node, path_list): if node is None: return tag = GeneratedsSuper.Tag_strip_pattern_.sub('', node.tag) if tag: path_list.append(tag) self.get_path_list_(node.getparent(), path_list) def get_class_obj_(self, node, default_class=None): class_obj1 = default_class if 'xsi' in node.nsmap: classname = node.get('{%s}type' % node.nsmap['xsi']) if classname is not None: names = classname.split(':') if len(names) == 2: classname = names[1] class_obj2 = globals().get(classname) if class_obj2 is not None: class_obj1 = class_obj2 return class_obj1 def gds_build_any(self, node, type_name=None): return None # # If you have installed IPython you can uncomment and use the following. # IPython is available from http://ipython.scipy.org/. # ## from IPython.Shell import IPShellEmbed ## args = '' ## ipshell = IPShellEmbed(args, ## banner = 'Dropping into IPython', ## exit_msg = 'Leaving Interpreter, back to program.') # Then use the following line where and when you want to drop into the # IPython shell: # ipshell('<some message> -- Entering ipshell.\nHit Ctrl-D to exit') # # Globals # ExternalEncoding = 'ascii' Tag_pattern_ = re_.compile(r'({.*})?(.*)') String_cleanup_pat_ = re_.compile(r"[\n\r\s]+") Namespace_extract_pat_ = re_.compile(r'{(.*)}(.*)') # # Support/utility functions. # def showIndent(outfile, level): for idx in range(level): outfile.write(' ') def quote_xml(inStr): if not inStr: return '' s1 = (isinstance(inStr, basestring) and inStr or '%s' % inStr) s1 = s1.replace('&', '&') s1 = s1.replace('<', '<') s1 = s1.replace('>', '>') return s1 def quote_attrib(inStr): s1 = (isinstance(inStr, basestring) and inStr or '%s' % inStr) s1 = s1.replace('&', '&') s1 = s1.replace('<', '<') s1 = s1.replace('>', '>') if '"' in s1: if "'" in s1: s1 = '"%s"' % s1.replace('"', """) else: s1 = "'%s'" % s1 else: s1 = '"%s"' % s1 return s1 def quote_python(inStr): s1 = inStr if s1.find("'") == -1: if s1.find('\n') == -1: return "'%s'" % s1 else: return "'''%s'''" % s1 else: if s1.find('"') != -1: s1 = s1.replace('"', '\\"') if s1.find('\n') == -1: return '"%s"' % s1 else: return '"""%s"""' % s1 def get_all_text_(node): if node.text is not None: text = node.text else: text = '' for child in node: if child.tail is not None: text += child.tail return text def find_attr_value_(attr_name, node): attrs = node.attrib attr_parts = attr_name.split(':') value = None if len(attr_parts) == 1: value = attrs.get(attr_name) elif len(attr_parts) == 2: prefix, name = attr_parts namespace = node.nsmap.get(prefix) if namespace is not None: value = attrs.get('{%s}%s' % (namespace, name, )) return value class GDSParseError(Exception): pass def raise_parse_error(node, msg): if XMLParser_import_library == XMLParser_import_lxml: msg = '%s (element %s/line %d)' % (msg, node.tag, node.sourceline, ) else: msg = '%s (element %s)' % (msg, node.tag, ) raise GDSParseError(msg) class MixedContainer: # Constants for category: CategoryNone = 0 CategoryText = 1 CategorySimple = 2 CategoryComplex = 3 # Constants for content_type: TypeNone = 0 TypeText = 1 TypeString = 2 TypeInteger = 3 TypeFloat = 4 TypeDecimal = 5 TypeDouble = 6 TypeBoolean = 7 def __init__(self, category, content_type, name, value): self.category = category self.content_type = content_type self.name = name self.value = value def getCategory(self): return self.category def getContenttype(self, content_type): return self.content_type def getValue(self): return self.value def getName(self): return self.name def export(self, outfile, level, name, namespace): if self.category == MixedContainer.CategoryText: # Prevent exporting empty content as empty lines. if self.value.strip(): outfile.write(self.value) elif self.category == MixedContainer.CategorySimple: self.exportSimple(outfile, level, name) else: # category == MixedContainer.CategoryComplex self.value.export(outfile, level, namespace,name) def exportSimple(self, outfile, level, name): if self.content_type == MixedContainer.TypeString: outfile.write('<%s>%s</%s>' % (self.name, self.value, self.name)) elif self.content_type == MixedContainer.TypeInteger or \ self.content_type == MixedContainer.TypeBoolean: outfile.write('<%s>%d</%s>' % (self.name, self.value, self.name)) elif self.content_type == MixedContainer.TypeFloat or \ self.content_type == MixedContainer.TypeDecimal: outfile.write('<%s>%f</%s>' % (self.name, self.value, self.name)) elif self.content_type == MixedContainer.TypeDouble: outfile.write('<%s>%g</%s>' % (self.name, self.value, self.name)) def exportLiteral(self, outfile, level, name): if self.category == MixedContainer.CategoryText: showIndent(outfile, level) outfile.write('model_.MixedContainer(%d, %d, "%s", "%s"),\n' % \ (self.category, self.content_type, self.name, self.value)) elif self.category == MixedContainer.CategorySimple: showIndent(outfile, level) outfile.write('model_.MixedContainer(%d, %d, "%s", "%s"),\n' % \ (self.category, self.content_type, self.name, self.value)) else: # category == MixedContainer.CategoryComplex showIndent(outfile, level) outfile.write('model_.MixedContainer(%d, %d, "%s",\n' % \ (self.category, self.content_type, self.name,)) self.value.exportLiteral(outfile, level + 1) showIndent(outfile, level) outfile.write(')\n') class MemberSpec_(object): def __init__(self, name='', data_type='', container=0): self.name = name self.data_type = data_type self.container = container def set_name(self, name): self.name = name def get_name(self): return self.name def set_data_type(self, data_type): self.data_type = data_type def get_data_type_chain(self): return self.data_type def get_data_type(self): if isinstance(self.data_type, list): if len(self.data_type) > 0: return self.data_type[-1] else: return 'xs:string' else: return self.data_type def set_container(self, container): self.container = container def get_container(self): return self.container def _cast(typ, value): if typ is None or value is None: return value return typ(value) # # Data representation classes. # class eagle(GeneratedsSuper): subclass = None superclass = None def __init__(self, version=None, compatibility=None, drawing=None): self.version = _cast(None, version) self.compatibility = compatibility self.drawing = drawing def factory(*args_, **kwargs_): if eagle.subclass: return eagle.subclass(*args_, **kwargs_) else: return eagle(*args_, **kwargs_) factory = staticmethod(factory) def get_compatibility(self): return self.compatibility def set_compatibility(self, compatibility): self.compatibility = compatibility def get_drawing(self): return self.drawing def set_drawing(self, drawing): self.drawing = drawing def get_version(self): return self.version def set_version(self, version): self.version = version def export(self, outfile, level, namespace_='t:', name_='eagle', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='eagle') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='eagle'): if self.version is not None and 'version' not in already_processed: already_processed.append('version') outfile.write(' version=%s' % (self.gds_format_string(quote_attrib(self.version).encode(ExternalEncoding), input_name='version'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='eagle', fromsubclass_=False): if self.compatibility is not None: self.compatibility.export(outfile, level, namespace_, name_='compatibility') if self.drawing is not None: self.drawing.export(outfile, level, namespace_, name_='drawing', ) def hasContent_(self): if ( self.compatibility is not None or self.drawing is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='eagle'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.version is not None and 'version' not in already_processed: already_processed.append('version') showIndent(outfile, level) outfile.write('version = "%s",\n' % (self.version,)) def exportLiteralChildren(self, outfile, level, name_): if self.compatibility is not None: showIndent(outfile, level) outfile.write('compatibility=model_.compatibility(\n') self.compatibility.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.drawing is not None: showIndent(outfile, level) outfile.write('drawing=model_.drawing(\n') self.drawing.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('version', node) if value is not None and 'version' not in already_processed: already_processed.append('version') self.version = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'compatibility': obj_ = compatibility.factory() obj_.build(child_) self.set_compatibility(obj_) elif nodeName_ == 'drawing': obj_ = drawing.factory() obj_.build(child_) self.set_drawing(obj_) # end class eagle class compatibility(GeneratedsSuper): subclass = None superclass = None def __init__(self, note=None): self.note = note def factory(*args_, **kwargs_): if compatibility.subclass: return compatibility.subclass(*args_, **kwargs_) else: return compatibility(*args_, **kwargs_) factory = staticmethod(factory) def get_note(self): return self.note def set_note(self, note): self.note = note def export(self, outfile, level, namespace_='t:', name_='compatibility', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='compatibility') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='compatibility'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='compatibility', fromsubclass_=False): if self.note is not None: self.note.export(outfile, level, namespace_, name_='note', ) def hasContent_(self): if ( self.note is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='compatibility'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.note is not None: showIndent(outfile, level) outfile.write('note=model_.note(\n') self.note.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'note': obj_ = note.factory() obj_.build(child_) self.set_note(obj_) # end class compatibility class note(GeneratedsSuper): subclass = None superclass = None def __init__(self, version=None, severity=None, valueOf_=None, mixedclass_=None, content_=None): self.version = _cast(None, version) self.severity = _cast(None, severity) self.valueOf_ = valueOf_ if mixedclass_ is None: self.mixedclass_ = MixedContainer else: self.mixedclass_ = mixedclass_ if content_ is None: self.content_ = [] else: self.content_ = content_ self.valueOf_ = valueOf_ def factory(*args_, **kwargs_): if note.subclass: return note.subclass(*args_, **kwargs_) else: return note(*args_, **kwargs_) factory = staticmethod(factory) def get_version(self): return self.version def set_version(self, version): self.version = version def get_severity(self): return self.severity def set_severity(self, severity): self.severity = severity def get_valueOf_(self): return self.valueOf_ def set_valueOf_(self, valueOf_): self.valueOf_ = valueOf_ def export(self, outfile, level, namespace_='t:', name_='note', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='note') outfile.write('>') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='note'): if self.version is not None and 'version' not in already_processed: already_processed.append('version') outfile.write(' version=%s' % (self.gds_format_string(quote_attrib(self.version).encode(ExternalEncoding), input_name='version'), )) if self.severity is not None and 'severity' not in already_processed: already_processed.append('severity') outfile.write(' severity=%s' % (self.gds_format_string(quote_attrib(self.severity).encode(ExternalEncoding), input_name='severity'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='note', fromsubclass_=False): pass def hasContent_(self): if ( self.valueOf_ ): return True else: return False def exportLiteral(self, outfile, level, name_='note'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) showIndent(outfile, level) outfile.write('valueOf_ = """%s""",\n' % (self.valueOf_,)) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.version is not None and 'version' not in already_processed: already_processed.append('version') showIndent(outfile, level) outfile.write('version = "%s",\n' % (self.version,)) if self.severity is not None and 'severity' not in already_processed: already_processed.append('severity') showIndent(outfile, level) outfile.write('severity = "%s",\n' % (self.severity,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) self.valueOf_ = get_all_text_(node) if node.text is not None: obj_ = self.mixedclass_(MixedContainer.CategoryText, MixedContainer.TypeNone, '', node.text) self.content_.append(obj_) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('version', node) if value is not None and 'version' not in already_processed: already_processed.append('version') self.version = value value = find_attr_value_('severity', node) if value is not None and 'severity' not in already_processed: already_processed.append('severity') self.severity = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if not fromsubclass_ and child_.tail is not None: obj_ = self.mixedclass_(MixedContainer.CategoryText, MixedContainer.TypeNone, '', child_.tail) self.content_.append(obj_) pass # end class note class drawing(GeneratedsSuper): subclass = None superclass = None def __init__(self, settings=None, grid=None, layers=None, library=None, schematic=None, board=None): self.settings = settings self.grid = grid self.layers = layers self.library = library self.schematic = schematic self.board = board def factory(*args_, **kwargs_): if drawing.subclass: return drawing.subclass(*args_, **kwargs_) else: return drawing(*args_, **kwargs_) factory = staticmethod(factory) def get_settings(self): return self.settings def set_settings(self, settings): self.settings = settings def get_grid(self): return self.grid def set_grid(self, grid): self.grid = grid def get_layers(self): return self.layers def set_layers(self, layers): self.layers = layers def get_library(self): return self.library def set_library(self, library): self.library = library def get_schematic(self): return self.schematic def set_schematic(self, schematic): self.schematic = schematic def get_board(self): return self.board def set_board(self, board): self.board = board def export(self, outfile, level, namespace_='t:', name_='drawing', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='drawing') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='drawing'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='drawing', fromsubclass_=False): if self.settings is not None: self.settings.export(outfile, level, namespace_, name_='settings') if self.grid is not None: self.grid.export(outfile, level, namespace_, name_='grid') if self.layers is not None: self.layers.export(outfile, level, namespace_, name_='layers', ) if self.library is not None: self.library.export(outfile, level, namespace_, name_='library', ) if self.schematic is not None: self.schematic.export(outfile, level, namespace_, name_='schematic', ) if self.board is not None: self.board.export(outfile, level, namespace_, name_='board', ) def hasContent_(self): if ( self.settings is not None or self.grid is not None or self.layers is not None or self.library is not None or self.schematic is not None or self.board is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='drawing'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.settings is not None: showIndent(outfile, level) outfile.write('settings=model_.settings(\n') self.settings.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.grid is not None: showIndent(outfile, level) outfile.write('grid=model_.grid(\n') self.grid.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.layers is not None: showIndent(outfile, level) outfile.write('layers=model_.layers(\n') self.layers.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.library is not None: showIndent(outfile, level) outfile.write('library=model_.library(\n') self.library.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.schematic is not None: showIndent(outfile, level) outfile.write('schematic=model_.schematic(\n') self.schematic.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.board is not None: showIndent(outfile, level) outfile.write('board=model_.board(\n') self.board.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'settings': obj_ = settings.factory() obj_.build(child_) self.set_settings(obj_) elif nodeName_ == 'grid': obj_ = grid.factory() obj_.build(child_) self.set_grid(obj_) elif nodeName_ == 'layers': obj_ = layers.factory() obj_.build(child_) self.set_layers(obj_) elif nodeName_ == 'library': obj_ = library.factory() obj_.build(child_) self.set_library(obj_) elif nodeName_ == 'schematic': obj_ = schematic.factory() obj_.build(child_) self.set_schematic(obj_) elif nodeName_ == 'board': obj_ = board.factory() obj_.build(child_) self.set_board(obj_) # end class drawing class library(GeneratedsSuper): subclass = None superclass = None def __init__(self, name=None, description=None, packages=None, symbols=None, devicesets=None): self.name = _cast(None, name) self.description = description self.packages = packages self.symbols = symbols self.devicesets = devicesets def factory(*args_, **kwargs_): if library.subclass: return library.subclass(*args_, **kwargs_) else: return library(*args_, **kwargs_) factory = staticmethod(factory) def get_description(self): return self.description def set_description(self, description): self.description = description def get_packages(self): return self.packages def set_packages(self, packages): self.packages = packages def get_symbols(self): return self.symbols def set_symbols(self, symbols): self.symbols = symbols def get_devicesets(self): return self.devicesets def set_devicesets(self, devicesets): self.devicesets = devicesets def get_name(self): return self.name def set_name(self, name): self.name = name def export(self, outfile, level, namespace_='t:', name_='library', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='library') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='library'): if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='library', fromsubclass_=False): if self.description is not None: self.description.export(outfile, level, namespace_, name_='description') if self.packages is not None: self.packages.export(outfile, level, namespace_, name_='packages') if self.symbols is not None: self.symbols.export(outfile, level, namespace_, name_='symbols') if self.devicesets is not None: self.devicesets.export(outfile, level, namespace_, name_='devicesets') def hasContent_(self): if ( self.description is not None or self.packages is not None or self.symbols is not None or self.devicesets is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='library'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) def exportLiteralChildren(self, outfile, level, name_): if self.description is not None: showIndent(outfile, level) outfile.write('description=model_.description(\n') self.description.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.packages is not None: showIndent(outfile, level) outfile.write('packages=model_.packages(\n') self.packages.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.symbols is not None: showIndent(outfile, level) outfile.write('symbols=model_.symbols(\n') self.symbols.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.devicesets is not None: showIndent(outfile, level) outfile.write('devicesets=model_.devicesets(\n') self.devicesets.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'description': obj_ = description.factory() obj_.build(child_) self.set_description(obj_) elif nodeName_ == 'packages': obj_ = packages.factory() obj_.build(child_) self.set_packages(obj_) elif nodeName_ == 'symbols': obj_ = symbols.factory() obj_.build(child_) self.set_symbols(obj_) elif nodeName_ == 'devicesets': obj_ = devicesets.factory() obj_.build(child_) self.set_devicesets(obj_) # end class library class schematic(GeneratedsSuper): subclass = None superclass = None def __init__(self, xrefpart=None, xreflabel=None, description=None, libraries=None, attributes=None, variantdefs=None, classes=None, parts=None, sheets=None, errors=None): self.xrefpart = _cast(None, xrefpart) self.xreflabel = _cast(None, xreflabel) self.description = description self.libraries = libraries self.attributes = attributes self.variantdefs = variantdefs self.classes = classes self.parts = parts self.sheets = sheets self.errors = errors def factory(*args_, **kwargs_): if schematic.subclass: return schematic.subclass(*args_, **kwargs_) else: return schematic(*args_, **kwargs_) factory = staticmethod(factory) def get_description(self): return self.description def set_description(self, description): self.description = description def get_libraries(self): return self.libraries def set_libraries(self, libraries): self.libraries = libraries def get_attributes(self): return self.attributes def set_attributes(self, attributes): self.attributes = attributes def get_variantdefs(self): return self.variantdefs def set_variantdefs(self, variantdefs): self.variantdefs = variantdefs def get_classes(self): return self.classes def set_classes(self, classes): self.classes = classes def get_parts(self): return self.parts def set_parts(self, parts): self.parts = parts def get_sheets(self): return self.sheets def set_sheets(self, sheets): self.sheets = sheets def get_errors(self): return self.errors def set_errors(self, errors): self.errors = errors def get_xrefpart(self): return self.xrefpart def set_xrefpart(self, xrefpart): self.xrefpart = xrefpart def get_xreflabel(self): return self.xreflabel def set_xreflabel(self, xreflabel): self.xreflabel = xreflabel def export(self, outfile, level, namespace_='t:', name_='schematic', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='schematic') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='schematic'): if self.xrefpart is not None and 'xrefpart' not in already_processed: already_processed.append('xrefpart') outfile.write(' xrefpart=%s' % (self.gds_format_string(quote_attrib(self.xrefpart).encode(ExternalEncoding), input_name='xrefpart'), )) if self.xreflabel is not None and 'xreflabel' not in already_processed: already_processed.append('xreflabel') outfile.write(' xreflabel=%s' % (self.gds_format_string(quote_attrib(self.xreflabel).encode(ExternalEncoding), input_name='xreflabel'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='schematic', fromsubclass_=False): if self.description is not None: self.description.export(outfile, level, namespace_, name_='description') if self.libraries is not None: self.libraries.export(outfile, level, namespace_, name_='libraries') if self.attributes is not None: self.attributes.export(outfile, level, namespace_, name_='attributes') if self.variantdefs is not None: self.variantdefs.export(outfile, level, namespace_, name_='variantdefs') if self.classes is not None: self.classes.export(outfile, level, namespace_, name_='classes') if self.parts is not None: self.parts.export(outfile, level, namespace_, name_='parts') if self.sheets is not None: self.sheets.export(outfile, level, namespace_, name_='sheets') if self.errors is not None: self.errors.export(outfile, level, namespace_, name_='errors') def hasContent_(self): if ( self.description is not None or self.libraries is not None or self.attributes is not None or self.variantdefs is not None or self.classes is not None or self.parts is not None or self.sheets is not None or self.errors is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='schematic'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.xrefpart is not None and 'xrefpart' not in already_processed: already_processed.append('xrefpart') showIndent(outfile, level) outfile.write('xrefpart = "%s",\n' % (self.xrefpart,)) if self.xreflabel is not None and 'xreflabel' not in already_processed: already_processed.append('xreflabel') showIndent(outfile, level) outfile.write('xreflabel = "%s",\n' % (self.xreflabel,)) def exportLiteralChildren(self, outfile, level, name_): if self.description is not None: showIndent(outfile, level) outfile.write('description=model_.description(\n') self.description.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.libraries is not None: showIndent(outfile, level) outfile.write('libraries=model_.libraries(\n') self.libraries.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.attributes is not None: showIndent(outfile, level) outfile.write('attributes=model_.attributes(\n') self.attributes.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.variantdefs is not None: showIndent(outfile, level) outfile.write('variantdefs=model_.variantdefs(\n') self.variantdefs.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.classes is not None: showIndent(outfile, level) outfile.write('classes=model_.classes(\n') self.classes.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.parts is not None: showIndent(outfile, level) outfile.write('parts=model_.parts(\n') self.parts.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.sheets is not None: showIndent(outfile, level) outfile.write('sheets=model_.sheets(\n') self.sheets.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.errors is not None: showIndent(outfile, level) outfile.write('errors=model_.errors(\n') self.errors.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('xrefpart', node) if value is not None and 'xrefpart' not in already_processed: already_processed.append('xrefpart') self.xrefpart = value value = find_attr_value_('xreflabel', node) if value is not None and 'xreflabel' not in already_processed: already_processed.append('xreflabel') self.xreflabel = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'description': obj_ = description.factory() obj_.build(child_) self.set_description(obj_) elif nodeName_ == 'libraries': obj_ = libraries.factory() obj_.build(child_) self.set_libraries(obj_) elif nodeName_ == 'attributes': obj_ = attributes.factory() obj_.build(child_) self.set_attributes(obj_) elif nodeName_ == 'variantdefs': obj_ = variantdefs.factory() obj_.build(child_) self.set_variantdefs(obj_) elif nodeName_ == 'classes': obj_ = classes.factory() obj_.build(child_) self.set_classes(obj_) elif nodeName_ == 'parts': obj_ = parts.factory() obj_.build(child_) self.set_parts(obj_) elif nodeName_ == 'sheets': obj_ = sheets.factory() obj_.build(child_) self.set_sheets(obj_) elif nodeName_ == 'errors': obj_ = errors.factory() obj_.build(child_) self.set_errors(obj_) # end class schematic class board(GeneratedsSuper): subclass = None superclass = None def __init__(self, description=None, plain=None, libraries=None, attributes=None, variantdefs=None, classes=None, designrules=None, autorouter=None, elements=None, signals=None, errors=None): self.description = description self.plain = plain self.libraries = libraries self.attributes = attributes self.variantdefs = variantdefs self.classes = classes self.designrules = designrules self.autorouter = autorouter self.elements = elements self.signals = signals self.errors = errors def factory(*args_, **kwargs_): if board.subclass: return board.subclass(*args_, **kwargs_) else: return board(*args_, **kwargs_) factory = staticmethod(factory) def get_description(self): return self.description def set_description(self, description): self.description = description def get_plain(self): return self.plain def set_plain(self, plain): self.plain = plain def get_libraries(self): return self.libraries def set_libraries(self, libraries): self.libraries = libraries def get_attributes(self): return self.attributes def set_attributes(self, attributes): self.attributes = attributes def get_variantdefs(self): return self.variantdefs def set_variantdefs(self, variantdefs): self.variantdefs = variantdefs def get_classes(self): return self.classes def set_classes(self, classes): self.classes = classes def get_designrules(self): return self.designrules def set_designrules(self, designrules): self.designrules = designrules def get_autorouter(self): return self.autorouter def set_autorouter(self, autorouter): self.autorouter = autorouter def get_elements(self): return self.elements def set_elements(self, elements): self.elements = elements def get_signals(self): return self.signals def set_signals(self, signals): self.signals = signals def get_errors(self): return self.errors def set_errors(self, errors): self.errors = errors def export(self, outfile, level, namespace_='t:', name_='board', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='board') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='board'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='board', fromsubclass_=False): if self.description is not None: self.description.export(outfile, level, namespace_, name_='description') if self.plain is not None: self.plain.export(outfile, level, namespace_, name_='plain') if self.libraries is not None: self.libraries.export(outfile, level, namespace_, name_='libraries') if self.attributes is not None: self.attributes.export(outfile, level, namespace_, name_='attributes') if self.variantdefs is not None: self.variantdefs.export(outfile, level, namespace_, name_='variantdefs') if self.classes is not None: self.classes.export(outfile, level, namespace_, name_='classes') if self.designrules is not None: self.designrules.export(outfile, level, namespace_, name_='designrules') if self.autorouter is not None: self.autorouter.export(outfile, level, namespace_, name_='autorouter') if self.elements is not None: self.elements.export(outfile, level, namespace_, name_='elements') if self.signals is not None: self.signals.export(outfile, level, namespace_, name_='signals') if self.errors is not None: self.errors.export(outfile, level, namespace_, name_='errors') def hasContent_(self): if ( self.description is not None or self.plain is not None or self.libraries is not None or self.attributes is not None or self.variantdefs is not None or self.classes is not None or self.designrules is not None or self.autorouter is not None or self.elements is not None or self.signals is not None or self.errors is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='board'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.description is not None: showIndent(outfile, level) outfile.write('description=model_.description(\n') self.description.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.plain is not None: showIndent(outfile, level) outfile.write('plain=model_.plain(\n') self.plain.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.libraries is not None: showIndent(outfile, level) outfile.write('libraries=model_.libraries(\n') self.libraries.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.attributes is not None: showIndent(outfile, level) outfile.write('attributes=model_.attributes(\n') self.attributes.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.variantdefs is not None: showIndent(outfile, level) outfile.write('variantdefs=model_.variantdefs(\n') self.variantdefs.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.classes is not None: showIndent(outfile, level) outfile.write('classes=model_.classes(\n') self.classes.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.designrules is not None: showIndent(outfile, level) outfile.write('designrules=model_.designrules(\n') self.designrules.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.autorouter is not None: showIndent(outfile, level) outfile.write('autorouter=model_.autorouter(\n') self.autorouter.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.elements is not None: showIndent(outfile, level) outfile.write('elements=model_.elements(\n') self.elements.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.signals is not None: showIndent(outfile, level) outfile.write('signals=model_.signals(\n') self.signals.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.errors is not None: showIndent(outfile, level) outfile.write('errors=model_.errors(\n') self.errors.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'description': obj_ = description.factory() obj_.build(child_) self.set_description(obj_) elif nodeName_ == 'plain': obj_ = plain.factory() obj_.build(child_) self.set_plain(obj_) elif nodeName_ == 'libraries': obj_ = libraries.factory() obj_.build(child_) self.set_libraries(obj_) elif nodeName_ == 'attributes': obj_ = attributes.factory() obj_.build(child_) self.set_attributes(obj_) elif nodeName_ == 'variantdefs': obj_ = variantdefs.factory() obj_.build(child_) self.set_variantdefs(obj_) elif nodeName_ == 'classes': obj_ = classes.factory() obj_.build(child_) self.set_classes(obj_) elif nodeName_ == 'designrules': obj_ = designrules.factory() obj_.build(child_) self.set_designrules(obj_) elif nodeName_ == 'autorouter': obj_ = autorouter.factory() obj_.build(child_) self.set_autorouter(obj_) elif nodeName_ == 'elements': obj_ = elements.factory() obj_.build(child_) self.set_elements(obj_) elif nodeName_ == 'signals': obj_ = signals.factory() obj_.build(child_) self.set_signals(obj_) elif nodeName_ == 'errors': obj_ = errors.factory() obj_.build(child_) self.set_errors(obj_) # end class board class sheet(GeneratedsSuper): subclass = None superclass = None def __init__(self, description=None, plain=None, instances=None, busses=None, nets=None): self.description = description self.plain = plain self.instances = instances self.busses = busses self.nets = nets def factory(*args_, **kwargs_): if sheet.subclass: return sheet.subclass(*args_, **kwargs_) else: return sheet(*args_, **kwargs_) factory = staticmethod(factory) def get_description(self): return self.description def set_description(self, description): self.description = description def get_plain(self): return self.plain def set_plain(self, plain): self.plain = plain def get_instances(self): return self.instances def set_instances(self, instances): self.instances = instances def get_busses(self): return self.busses def set_busses(self, busses): self.busses = busses def get_nets(self): return self.nets def set_nets(self, nets): self.nets = nets def export(self, outfile, level, namespace_='t:', name_='sheet', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='sheet') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='sheet'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='sheet', fromsubclass_=False): if self.description is not None: self.description.export(outfile, level, namespace_, name_='description') if self.plain is not None: self.plain.export(outfile, level, namespace_, name_='plain') if self.instances is not None: self.instances.export(outfile, level, namespace_, name_='instances') if self.busses is not None: self.busses.export(outfile, level, namespace_, name_='busses') if self.nets is not None: self.nets.export(outfile, level, namespace_, name_='nets') def hasContent_(self): if ( self.description is not None or self.plain is not None or self.instances is not None or self.busses is not None or self.nets is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='sheet'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.description is not None: showIndent(outfile, level) outfile.write('description=model_.description(\n') self.description.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.plain is not None: showIndent(outfile, level) outfile.write('plain=model_.plain(\n') self.plain.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.instances is not None: showIndent(outfile, level) outfile.write('instances=model_.instances(\n') self.instances.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.busses is not None: showIndent(outfile, level) outfile.write('busses=model_.busses(\n') self.busses.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.nets is not None: showIndent(outfile, level) outfile.write('nets=model_.nets(\n') self.nets.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'description': obj_ = description.factory() obj_.build(child_) self.set_description(obj_) elif nodeName_ == 'plain': obj_ = plain.factory() obj_.build(child_) self.set_plain(obj_) elif nodeName_ == 'instances': obj_ = instances.factory() obj_.build(child_) self.set_instances(obj_) elif nodeName_ == 'busses': obj_ = busses.factory() obj_.build(child_) self.set_busses(obj_) elif nodeName_ == 'nets': obj_ = nets.factory() obj_.build(child_) self.set_nets(obj_) # end class sheet class package(GeneratedsSuper): subclass = None superclass = None def __init__(self, name=None, description=None, polygon=None, wire=None, text=None, circle=None, rectangle=None, frame=None, hole=None, pad=None, smd=None): self.name = _cast(None, name) self.description = description if polygon is None: self.polygon = [] else: self.polygon = polygon if wire is None: self.wire = [] else: self.wire = wire if text is None: self.text = [] else: self.text = text if circle is None: self.circle = [] else: self.circle = circle if rectangle is None: self.rectangle = [] else: self.rectangle = rectangle if frame is None: self.frame = [] else: self.frame = frame if hole is None: self.hole = [] else: self.hole = hole if pad is None: self.pad = [] else: self.pad = pad if smd is None: self.smd = [] else: self.smd = smd def factory(*args_, **kwargs_): if package.subclass: return package.subclass(*args_, **kwargs_) else: return package(*args_, **kwargs_) factory = staticmethod(factory) def get_description(self): return self.description def set_description(self, description): self.description = description def get_polygon(self): return self.polygon def set_polygon(self, polygon): self.polygon = polygon def add_polygon(self, value): self.polygon.append(value) def insert_polygon(self, index, value): self.polygon[index] = value def get_wire(self): return self.wire def set_wire(self, wire): self.wire = wire def add_wire(self, value): self.wire.append(value) def insert_wire(self, index, value): self.wire[index] = value def get_text(self): return self.text def set_text(self, text): self.text = text def add_text(self, value): self.text.append(value) def insert_text(self, index, value): self.text[index] = value def get_circle(self): return self.circle def set_circle(self, circle): self.circle = circle def add_circle(self, value): self.circle.append(value) def insert_circle(self, index, value): self.circle[index] = value def get_rectangle(self): return self.rectangle def set_rectangle(self, rectangle): self.rectangle = rectangle def add_rectangle(self, value): self.rectangle.append(value) def insert_rectangle(self, index, value): self.rectangle[index] = value def get_frame(self): return self.frame def set_frame(self, frame): self.frame = frame def add_frame(self, value): self.frame.append(value) def insert_frame(self, index, value): self.frame[index] = value def get_hole(self): return self.hole def set_hole(self, hole): self.hole = hole def add_hole(self, value): self.hole.append(value) def insert_hole(self, index, value): self.hole[index] = value def get_pad(self): return self.pad def set_pad(self, pad): self.pad = pad def add_pad(self, value): self.pad.append(value) def insert_pad(self, index, value): self.pad[index] = value def get_smd(self): return self.smd def set_smd(self, smd): self.smd = smd def add_smd(self, value): self.smd.append(value) def insert_smd(self, index, value): self.smd[index] = value def get_name(self): return self.name def set_name(self, name): self.name = name def export(self, outfile, level, namespace_='t:', name_='package', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='package') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='package'): if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='package', fromsubclass_=False): if self.description is not None: self.description.export(outfile, level, namespace_, name_='description') for polygon_ in self.polygon: polygon_.export(outfile, level, namespace_, name_='polygon') for wire_ in self.wire: wire_.export(outfile, level, namespace_, name_='wire') for text_ in self.text: text_.export(outfile, level, namespace_, name_='text') for circle_ in self.circle: circle_.export(outfile, level, namespace_, name_='circle') for rectangle_ in self.rectangle: rectangle_.export(outfile, level, namespace_, name_='rectangle') for frame_ in self.frame: frame_.export(outfile, level, namespace_, name_='frame') for hole_ in self.hole: hole_.export(outfile, level, namespace_, name_='hole') for pad_ in self.pad: pad_.export(outfile, level, namespace_, name_='pad') for smd_ in self.smd: smd_.export(outfile, level, namespace_, name_='smd') def hasContent_(self): if ( self.description is not None or self.polygon or self.wire or self.text or self.circle or self.rectangle or self.frame or self.hole or self.pad or self.smd ): return True else: return False def exportLiteral(self, outfile, level, name_='package'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) def exportLiteralChildren(self, outfile, level, name_): if self.description is not None: showIndent(outfile, level) outfile.write('description=model_.description(\n') self.description.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') showIndent(outfile, level) outfile.write('polygon=[\n') level += 1 for polygon_ in self.polygon: showIndent(outfile, level) outfile.write('model_.polygon(\n') polygon_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('wire=[\n') level += 1 for wire_ in self.wire: showIndent(outfile, level) outfile.write('model_.wire(\n') wire_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('text=[\n') level += 1 for text_ in self.text: showIndent(outfile, level) outfile.write('model_.text(\n') text_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('circle=[\n') level += 1 for circle_ in self.circle: showIndent(outfile, level) outfile.write('model_.circle(\n') circle_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('rectangle=[\n') level += 1 for rectangle_ in self.rectangle: showIndent(outfile, level) outfile.write('model_.rectangle(\n') rectangle_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('frame=[\n') level += 1 for frame_ in self.frame: showIndent(outfile, level) outfile.write('model_.frame(\n') frame_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('hole=[\n') level += 1 for hole_ in self.hole: showIndent(outfile, level) outfile.write('model_.hole(\n') hole_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('pad=[\n') level += 1 for pad_ in self.pad: showIndent(outfile, level) outfile.write('model_.pad(\n') pad_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('smd=[\n') level += 1 for smd_ in self.smd: showIndent(outfile, level) outfile.write('model_.smd(\n') smd_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'description': obj_ = description.factory() obj_.build(child_) self.set_description(obj_) elif nodeName_ == 'polygon': obj_ = polygon.factory() obj_.build(child_) self.polygon.append(obj_) elif nodeName_ == 'wire': obj_ = wire.factory() obj_.build(child_) self.wire.append(obj_) elif nodeName_ == 'text': obj_ = text.factory() obj_.build(child_) self.text.append(obj_) elif nodeName_ == 'circle': obj_ = circle.factory() obj_.build(child_) self.circle.append(obj_) elif nodeName_ == 'rectangle': obj_ = rectangle.factory() obj_.build(child_) self.rectangle.append(obj_) elif nodeName_ == 'frame': obj_ = frame.factory() obj_.build(child_) self.frame.append(obj_) elif nodeName_ == 'hole': obj_ = hole.factory() obj_.build(child_) self.hole.append(obj_) elif nodeName_ == 'pad': obj_ = pad.factory() obj_.build(child_) self.pad.append(obj_) elif nodeName_ == 'smd': obj_ = smd.factory() obj_.build(child_) self.smd.append(obj_) # end class package class symbol(GeneratedsSuper): subclass = None superclass = None def __init__(self, name=None, description=None, polygon=None, wire=None, text=None, pin=None, circle=None, rectangle=None, frame=None): self.name = _cast(None, name) self.description = description if polygon is None: self.polygon = [] else: self.polygon = polygon if wire is None: self.wire = [] else: self.wire = wire if text is None: self.text = [] else: self.text = text if pin is None: self.pin = [] else: self.pin = pin if circle is None: self.circle = [] else: self.circle = circle if rectangle is None: self.rectangle = [] else: self.rectangle = rectangle if frame is None: self.frame = [] else: self.frame = frame def factory(*args_, **kwargs_): if symbol.subclass: return symbol.subclass(*args_, **kwargs_) else: return symbol(*args_, **kwargs_) factory = staticmethod(factory) def get_description(self): return self.description def set_description(self, description): self.description = description def get_polygon(self): return self.polygon def set_polygon(self, polygon): self.polygon = polygon def add_polygon(self, value): self.polygon.append(value) def insert_polygon(self, index, value): self.polygon[index] = value def get_wire(self): return self.wire def set_wire(self, wire): self.wire = wire def add_wire(self, value): self.wire.append(value) def insert_wire(self, index, value): self.wire[index] = value def get_text(self): return self.text def set_text(self, text): self.text = text def add_text(self, value): self.text.append(value) def insert_text(self, index, value): self.text[index] = value def get_pin(self): return self.pin def set_pin(self, pin): self.pin = pin def add_pin(self, value): self.pin.append(value) def insert_pin(self, index, value): self.pin[index] = value def get_circle(self): return self.circle def set_circle(self, circle): self.circle = circle def add_circle(self, value): self.circle.append(value) def insert_circle(self, index, value): self.circle[index] = value def get_rectangle(self): return self.rectangle def set_rectangle(self, rectangle): self.rectangle = rectangle def add_rectangle(self, value): self.rectangle.append(value) def insert_rectangle(self, index, value): self.rectangle[index] = value def get_frame(self): return self.frame def set_frame(self, frame): self.frame = frame def add_frame(self, value): self.frame.append(value) def insert_frame(self, index, value): self.frame[index] = value def get_name(self): return self.name def set_name(self, name): self.name = name def export(self, outfile, level, namespace_='t:', name_='symbol', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='symbol') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='symbol'): if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='symbol', fromsubclass_=False): if self.description is not None: self.description.export(outfile, level, namespace_, name_='description') for polygon_ in self.polygon: polygon_.export(outfile, level, namespace_, name_='polygon') for wire_ in self.wire: wire_.export(outfile, level, namespace_, name_='wire') for text_ in self.text: text_.export(outfile, level, namespace_, name_='text') for pin_ in self.pin: pin_.export(outfile, level, namespace_, name_='pin') for circle_ in self.circle: circle_.export(outfile, level, namespace_, name_='circle') for rectangle_ in self.rectangle: rectangle_.export(outfile, level, namespace_, name_='rectangle') for frame_ in self.frame: frame_.export(outfile, level, namespace_, name_='frame') def hasContent_(self): if ( self.description is not None or self.polygon or self.wire or self.text or self.pin or self.circle or self.rectangle or self.frame ): return True else: return False def exportLiteral(self, outfile, level, name_='symbol'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) def exportLiteralChildren(self, outfile, level, name_): if self.description is not None: showIndent(outfile, level) outfile.write('description=model_.description(\n') self.description.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') showIndent(outfile, level) outfile.write('polygon=[\n') level += 1 for polygon_ in self.polygon: showIndent(outfile, level) outfile.write('model_.polygon(\n') polygon_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('wire=[\n') level += 1 for wire_ in self.wire: showIndent(outfile, level) outfile.write('model_.wire(\n') wire_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('text=[\n') level += 1 for text_ in self.text: showIndent(outfile, level) outfile.write('model_.text(\n') text_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('pin=[\n') level += 1 for pin_ in self.pin: showIndent(outfile, level) outfile.write('model_.pin(\n') pin_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('circle=[\n') level += 1 for circle_ in self.circle: showIndent(outfile, level) outfile.write('model_.circle(\n') circle_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('rectangle=[\n') level += 1 for rectangle_ in self.rectangle: showIndent(outfile, level) outfile.write('model_.rectangle(\n') rectangle_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('frame=[\n') level += 1 for frame_ in self.frame: showIndent(outfile, level) outfile.write('model_.frame(\n') frame_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'description': obj_ = description.factory() obj_.build(child_) self.set_description(obj_) elif nodeName_ == 'polygon': obj_ = polygon.factory() obj_.build(child_) self.polygon.append(obj_) elif nodeName_ == 'wire': obj_ = wire.factory() obj_.build(child_) self.wire.append(obj_) elif nodeName_ == 'text': obj_ = text.factory() obj_.build(child_) self.text.append(obj_) elif nodeName_ == 'pin': obj_ = pin.factory() obj_.build(child_) self.pin.append(obj_) elif nodeName_ == 'circle': obj_ = circle.factory() obj_.build(child_) self.circle.append(obj_) elif nodeName_ == 'rectangle': obj_ = rectangle.factory() obj_.build(child_) self.rectangle.append(obj_) elif nodeName_ == 'frame': obj_ = frame.factory() obj_.build(child_) self.frame.append(obj_) # end class symbol class deviceset(GeneratedsSuper): subclass = None superclass = None def __init__(self, uservalue=None, prefix=None, name=None, description=None, gates=None, devices=None): self.uservalue = _cast(None, uservalue) self.prefix = _cast(None, prefix) self.name = _cast(None, name) self.description = description self.gates = gates self.devices = devices def factory(*args_, **kwargs_): if deviceset.subclass: return deviceset.subclass(*args_, **kwargs_) else: return deviceset(*args_, **kwargs_) factory = staticmethod(factory) def get_description(self): return self.description def set_description(self, description): self.description = description def get_gates(self): return self.gates def set_gates(self, gates): self.gates = gates def get_devices(self): return self.devices def set_devices(self, devices): self.devices = devices def get_uservalue(self): return self.uservalue def set_uservalue(self, uservalue): self.uservalue = uservalue def get_prefix(self): return self.prefix def set_prefix(self, prefix): self.prefix = prefix def get_name(self): return self.name def set_name(self, name): self.name = name def export(self, outfile, level, namespace_='t:', name_='deviceset', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='deviceset') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='deviceset'): if self.uservalue is not None and 'uservalue' not in already_processed: already_processed.append('uservalue') outfile.write(' uservalue=%s' % (self.gds_format_string(quote_attrib(self.uservalue).encode(ExternalEncoding), input_name='uservalue'), )) if self.prefix is not None and 'prefix' not in already_processed: already_processed.append('prefix') outfile.write(' prefix=%s' % (self.gds_format_string(quote_attrib(self.prefix).encode(ExternalEncoding), input_name='prefix'), )) if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='deviceset', fromsubclass_=False): if self.description is not None: self.description.export(outfile, level, namespace_, name_='description') if self.gates is not None: self.gates.export(outfile, level, namespace_, name_='gates', ) if self.devices is not None: self.devices.export(outfile, level, namespace_, name_='devices', ) def hasContent_(self): if ( self.description is not None or self.gates is not None or self.devices is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='deviceset'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.uservalue is not None and 'uservalue' not in already_processed: already_processed.append('uservalue') showIndent(outfile, level) outfile.write('uservalue = "%s",\n' % (self.uservalue,)) if self.prefix is not None and 'prefix' not in already_processed: already_processed.append('prefix') showIndent(outfile, level) outfile.write('prefix = "%s",\n' % (self.prefix,)) if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) def exportLiteralChildren(self, outfile, level, name_): if self.description is not None: showIndent(outfile, level) outfile.write('description=model_.description(\n') self.description.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.gates is not None: showIndent(outfile, level) outfile.write('gates=model_.gates(\n') self.gates.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.devices is not None: showIndent(outfile, level) outfile.write('devices=model_.devices(\n') self.devices.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('uservalue', node) if value is not None and 'uservalue' not in already_processed: already_processed.append('uservalue') self.uservalue = value value = find_attr_value_('prefix', node) if value is not None and 'prefix' not in already_processed: already_processed.append('prefix') self.prefix = value value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'description': obj_ = description.factory() obj_.build(child_) self.set_description(obj_) elif nodeName_ == 'gates': obj_ = gates.factory() obj_.build(child_) self.set_gates(obj_) elif nodeName_ == 'devices': obj_ = devices.factory() obj_.build(child_) self.set_devices(obj_) # end class deviceset class device(GeneratedsSuper): subclass = None superclass = None def __init__(self, name=None, package=None, connects=None, technologies=None): self.name = _cast(None, name) self.package = _cast(None, package) self.connects = connects self.technologies = technologies def factory(*args_, **kwargs_): if device.subclass: return device.subclass(*args_, **kwargs_) else: return device(*args_, **kwargs_) factory = staticmethod(factory) def get_connects(self): return self.connects def set_connects(self, connects): self.connects = connects def get_technologies(self): return self.technologies def set_technologies(self, technologies): self.technologies = technologies def get_name(self): return self.name def set_name(self, name): self.name = name def get_package(self): return self.package def set_package(self, package): self.package = package def export(self, outfile, level, namespace_='t:', name_='device', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='device') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='device'): if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) if self.package is not None and 'package' not in already_processed: already_processed.append('package') outfile.write(' package=%s' % (self.gds_format_string(quote_attrib(self.package).encode(ExternalEncoding), input_name='package'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='device', fromsubclass_=False): if self.connects is not None: self.connects.export(outfile, level, namespace_, name_='connects') if self.technologies is not None: self.technologies.export(outfile, level, namespace_, name_='technologies') def hasContent_(self): if ( self.connects is not None or self.technologies is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='device'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) if self.package is not None and 'package' not in already_processed: already_processed.append('package') showIndent(outfile, level) outfile.write('package = "%s",\n' % (self.package,)) def exportLiteralChildren(self, outfile, level, name_): if self.connects is not None: showIndent(outfile, level) outfile.write('connects=model_.connects(\n') self.connects.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') if self.technologies is not None: showIndent(outfile, level) outfile.write('technologies=model_.technologies(\n') self.technologies.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value value = find_attr_value_('package', node) if value is not None and 'package' not in already_processed: already_processed.append('package') self.package = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'connects': obj_ = connects.factory() obj_.build(child_) self.set_connects(obj_) elif nodeName_ == 'technologies': obj_ = technologies.factory() obj_.build(child_) self.set_technologies(obj_) # end class device class bus(GeneratedsSuper): subclass = None superclass = None def __init__(self, name=None, segment=None): self.name = _cast(None, name) self.segment = segment def factory(*args_, **kwargs_): if bus.subclass: return bus.subclass(*args_, **kwargs_) else: return bus(*args_, **kwargs_) factory = staticmethod(factory) def get_segment(self): return self.segment def set_segment(self, segment): self.segment = segment def get_name(self): return self.name def set_name(self, name): self.name = name def export(self, outfile, level, namespace_='t:', name_='bus', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='bus') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='bus'): if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='bus', fromsubclass_=False): if self.segment is not None: self.segment.export(outfile, level, namespace_, name_='segment', ) def hasContent_(self): if ( self.segment is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='bus'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) def exportLiteralChildren(self, outfile, level, name_): if self.segment is not None: showIndent(outfile, level) outfile.write('segment=model_.segment(\n') self.segment.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'segment': obj_ = segment.factory() obj_.build(child_) self.set_segment(obj_) # end class bus class net(GeneratedsSuper): subclass = None superclass = None def __init__(self, name=None, classxx=None, segment=None): self.name = _cast(None, name) self.classxx = _cast(None, classxx) self.segment = segment def factory(*args_, **kwargs_): if net.subclass: return net.subclass(*args_, **kwargs_) else: return net(*args_, **kwargs_) factory = staticmethod(factory) def get_segment(self): return self.segment def set_segment(self, segment): self.segment = segment def get_name(self): return self.name def set_name(self, name): self.name = name def get_class(self): return self.classxx def set_class(self, classxx): self.classxx = classxx def export(self, outfile, level, namespace_='t:', name_='net', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='net') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='net'): if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) if self.classxx is not None and 'classxx' not in already_processed: already_processed.append('classxx') outfile.write(' class=%s' % (self.gds_format_string(quote_attrib(self.classxx).encode(ExternalEncoding), input_name='class'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='net', fromsubclass_=False): if self.segment is not None: self.segment.export(outfile, level, namespace_, name_='segment', ) def hasContent_(self): if ( self.segment is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='net'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) if self.classxx is not None and 'classxx' not in already_processed: already_processed.append('classxx') showIndent(outfile, level) outfile.write('classxx = "%s",\n' % (self.classxx,)) def exportLiteralChildren(self, outfile, level, name_): if self.segment is not None: showIndent(outfile, level) outfile.write('segment=model_.segment(\n') self.segment.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value value = find_attr_value_('class', node) if value is not None and 'class' not in already_processed: already_processed.append('class') self.classxx = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'segment': obj_ = segment.factory() obj_.build(child_) self.set_segment(obj_) # end class net class segment(GeneratedsSuper): subclass = None superclass = None def __init__(self, pinref=None, wire=None, junction=None, label=None): if pinref is None: self.pinref = [] else: self.pinref = pinref if wire is None: self.wire = [] else: self.wire = wire if junction is None: self.junction = [] else: self.junction = junction if label is None: self.label = [] else: self.label = label def factory(*args_, **kwargs_): if segment.subclass: return segment.subclass(*args_, **kwargs_) else: return segment(*args_, **kwargs_) factory = staticmethod(factory) def get_pinref(self): return self.pinref def set_pinref(self, pinref): self.pinref = pinref def add_pinref(self, value): self.pinref.append(value) def insert_pinref(self, index, value): self.pinref[index] = value def get_wire(self): return self.wire def set_wire(self, wire): self.wire = wire def add_wire(self, value): self.wire.append(value) def insert_wire(self, index, value): self.wire[index] = value def get_junction(self): return self.junction def set_junction(self, junction): self.junction = junction def add_junction(self, value): self.junction.append(value) def insert_junction(self, index, value): self.junction[index] = value def get_label(self): return self.label def set_label(self, label): self.label = label def add_label(self, value): self.label.append(value) def insert_label(self, index, value): self.label[index] = value def export(self, outfile, level, namespace_='t:', name_='segment', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='segment') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='segment'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='segment', fromsubclass_=False): for pinref_ in self.pinref: pinref_.export(outfile, level, namespace_, name_='pinref') for wire_ in self.wire: wire_.export(outfile, level, namespace_, name_='wire') for junction_ in self.junction: junction_.export(outfile, level, namespace_, name_='junction') for label_ in self.label: label_.export(outfile, level, namespace_, name_='label') def hasContent_(self): if ( self.pinref or self.wire or self.junction or self.label ): return True else: return False def exportLiteral(self, outfile, level, name_='segment'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): showIndent(outfile, level) outfile.write('pinref=[\n') level += 1 for pinref_ in self.pinref: showIndent(outfile, level) outfile.write('model_.pinref(\n') pinref_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('wire=[\n') level += 1 for wire_ in self.wire: showIndent(outfile, level) outfile.write('model_.wire(\n') wire_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('junction=[\n') level += 1 for junction_ in self.junction: showIndent(outfile, level) outfile.write('model_.junction(\n') junction_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('label=[\n') level += 1 for label_ in self.label: showIndent(outfile, level) outfile.write('model_.label(\n') label_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'pinref': obj_ = pinref.factory() obj_.build(child_) self.pinref.append(obj_) elif nodeName_ == 'wire': obj_ = wire.factory() obj_.build(child_) self.wire.append(obj_) elif nodeName_ == 'junction': obj_ = junction.factory() obj_.build(child_) self.junction.append(obj_) elif nodeName_ == 'label': obj_ = label.factory() obj_.build(child_) self.label.append(obj_) # end class segment class signal(GeneratedsSuper): subclass = None superclass = None def __init__(self, airwireshidden=None, name=None, classxx=None, contactref=None, polygon=None, wire=None, via=None): self.airwireshidden = _cast(None, airwireshidden) self.name = _cast(None, name) self.classxx = _cast(None, classxx) if contactref is None: self.contactref = [] else: self.contactref = contactref if polygon is None: self.polygon = [] else: self.polygon = polygon if wire is None: self.wire = [] else: self.wire = wire if via is None: self.via = [] else: self.via = via def factory(*args_, **kwargs_): if signal.subclass: return signal.subclass(*args_, **kwargs_) else: return signal(*args_, **kwargs_) factory = staticmethod(factory) def get_contactref(self): return self.contactref def set_contactref(self, contactref): self.contactref = contactref def add_contactref(self, value): self.contactref.append(value) def insert_contactref(self, index, value): self.contactref[index] = value def get_polygon(self): return self.polygon def set_polygon(self, polygon): self.polygon = polygon def add_polygon(self, value): self.polygon.append(value) def insert_polygon(self, index, value): self.polygon[index] = value def get_wire(self): return self.wire def set_wire(self, wire): self.wire = wire def add_wire(self, value): self.wire.append(value) def insert_wire(self, index, value): self.wire[index] = value def get_via(self): return self.via def set_via(self, via): self.via = via def add_via(self, value): self.via.append(value) def insert_via(self, index, value): self.via[index] = value def get_airwireshidden(self): return self.airwireshidden def set_airwireshidden(self, airwireshidden): self.airwireshidden = airwireshidden def get_name(self): return self.name def set_name(self, name): self.name = name def get_class(self): return self.classxx def set_class(self, classxx): self.classxx = classxx def export(self, outfile, level, namespace_='t:', name_='signal', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='signal') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='signal'): if self.airwireshidden is not None and 'airwireshidden' not in already_processed: already_processed.append('airwireshidden') outfile.write(' airwireshidden=%s' % (self.gds_format_string(quote_attrib(self.airwireshidden).encode(ExternalEncoding), input_name='airwireshidden'), )) if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) if self.classxx is not None and 'classxx' not in already_processed: already_processed.append('classxx') outfile.write(' class=%s' % (self.gds_format_string(quote_attrib(self.classxx).encode(ExternalEncoding), input_name='class'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='signal', fromsubclass_=False): for contactref_ in self.contactref: contactref_.export(outfile, level, namespace_, name_='contactref') for polygon_ in self.polygon: polygon_.export(outfile, level, namespace_, name_='polygon') for wire_ in self.wire: wire_.export(outfile, level, namespace_, name_='wire') for via_ in self.via: via_.export(outfile, level, namespace_, name_='via') def hasContent_(self): if ( self.contactref or self.polygon or self.wire or self.via ): return True else: return False def exportLiteral(self, outfile, level, name_='signal'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.airwireshidden is not None and 'airwireshidden' not in already_processed: already_processed.append('airwireshidden') showIndent(outfile, level) outfile.write('airwireshidden = "%s",\n' % (self.airwireshidden,)) if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) if self.classxx is not None and 'classxx' not in already_processed: already_processed.append('classxx') showIndent(outfile, level) outfile.write('classxx = "%s",\n' % (self.classxx,)) def exportLiteralChildren(self, outfile, level, name_): showIndent(outfile, level) outfile.write('contactref=[\n') level += 1 for contactref_ in self.contactref: showIndent(outfile, level) outfile.write('model_.contactref(\n') contactref_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('polygon=[\n') level += 1 for polygon_ in self.polygon: showIndent(outfile, level) outfile.write('model_.polygon(\n') polygon_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('wire=[\n') level += 1 for wire_ in self.wire: showIndent(outfile, level) outfile.write('model_.wire(\n') wire_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('via=[\n') level += 1 for via_ in self.via: showIndent(outfile, level) outfile.write('model_.via(\n') via_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('airwireshidden', node) if value is not None and 'airwireshidden' not in already_processed: already_processed.append('airwireshidden') self.airwireshidden = value value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value value = find_attr_value_('class', node) if value is not None and 'class' not in already_processed: already_processed.append('class') self.classxx = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'contactref': obj_ = contactref.factory() obj_.build(child_) self.contactref.append(obj_) elif nodeName_ == 'polygon': obj_ = polygon.factory() obj_.build(child_) self.polygon.append(obj_) elif nodeName_ == 'wire': obj_ = wire.factory() obj_.build(child_) self.wire.append(obj_) elif nodeName_ == 'via': obj_ = via.factory() obj_.build(child_) self.via.append(obj_) # end class signal class variantdef(GeneratedsSuper): subclass = None superclass = None def __init__(self, name=None): self.name = _cast(None, name) pass def factory(*args_, **kwargs_): if variantdef.subclass: return variantdef.subclass(*args_, **kwargs_) else: return variantdef(*args_, **kwargs_) factory = staticmethod(factory) def get_name(self): return self.name def set_name(self, name): self.name = name def export(self, outfile, level, namespace_='t:', name_='variantdef', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='variantdef') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='variantdef'): if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='variantdef', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='variantdef'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class variantdef class variant(GeneratedsSuper): subclass = None superclass = None def __init__(self, value=None, technology=None, name=None, populate=None): self.value = _cast(None, value) self.technology = _cast(None, technology) self.name = _cast(None, name) self.populate = _cast(None, populate) pass def factory(*args_, **kwargs_): if variant.subclass: return variant.subclass(*args_, **kwargs_) else: return variant(*args_, **kwargs_) factory = staticmethod(factory) def get_value(self): return self.value def set_value(self, value): self.value = value def get_technology(self): return self.technology def set_technology(self, technology): self.technology = technology def get_name(self): return self.name def set_name(self, name): self.name = name def get_populate(self): return self.populate def set_populate(self, populate): self.populate = populate def export(self, outfile, level, namespace_='t:', name_='variant', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='variant') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='variant'): if self.value is not None and 'value' not in already_processed: already_processed.append('value') outfile.write(' value=%s' % (self.gds_format_string(quote_attrib(self.value).encode(ExternalEncoding), input_name='value'), )) if self.technology is not None and 'technology' not in already_processed: already_processed.append('technology') outfile.write(' technology=%s' % (self.gds_format_string(quote_attrib(self.technology).encode(ExternalEncoding), input_name='technology'), )) if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) if self.populate is not None and 'populate' not in already_processed: already_processed.append('populate') outfile.write(' populate=%s' % (self.gds_format_string(quote_attrib(self.populate).encode(ExternalEncoding), input_name='populate'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='variant', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='variant'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.value is not None and 'value' not in already_processed: already_processed.append('value') showIndent(outfile, level) outfile.write('value = "%s",\n' % (self.value,)) if self.technology is not None and 'technology' not in already_processed: already_processed.append('technology') showIndent(outfile, level) outfile.write('technology = "%s",\n' % (self.technology,)) if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) if self.populate is not None and 'populate' not in already_processed: already_processed.append('populate') showIndent(outfile, level) outfile.write('populate = "%s",\n' % (self.populate,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('value', node) if value is not None and 'value' not in already_processed: already_processed.append('value') self.value = value value = find_attr_value_('technology', node) if value is not None and 'technology' not in already_processed: already_processed.append('technology') self.technology = value value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value value = find_attr_value_('populate', node) if value is not None and 'populate' not in already_processed: already_processed.append('populate') self.populate = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class variant class gate(GeneratedsSuper): subclass = None superclass = None def __init__(self, name=None, symbol=None, swaplevel=None, addlevel=None, y=None, x=None): self.name = _cast(None, name) self.symbol = _cast(None, symbol) self.swaplevel = _cast(None, swaplevel) self.addlevel = _cast(None, addlevel) self.y = _cast(None, y) self.x = _cast(None, x) pass def factory(*args_, **kwargs_): if gate.subclass: return gate.subclass(*args_, **kwargs_) else: return gate(*args_, **kwargs_) factory = staticmethod(factory) def get_name(self): return self.name def set_name(self, name): self.name = name def get_symbol(self): return self.symbol def set_symbol(self, symbol): self.symbol = symbol def get_swaplevel(self): return self.swaplevel def set_swaplevel(self, swaplevel): self.swaplevel = swaplevel def get_addlevel(self): return self.addlevel def set_addlevel(self, addlevel): self.addlevel = addlevel def get_y(self): return self.y def set_y(self, y): self.y = y def get_x(self): return self.x def set_x(self, x): self.x = x def export(self, outfile, level, namespace_='t:', name_='gate', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='gate') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='gate'): if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) if self.symbol is not None and 'symbol' not in already_processed: already_processed.append('symbol') outfile.write(' symbol=%s' % (self.gds_format_string(quote_attrib(self.symbol).encode(ExternalEncoding), input_name='symbol'), )) if self.swaplevel is not None and 'swaplevel' not in already_processed: already_processed.append('swaplevel') outfile.write(' swaplevel=%s' % (self.gds_format_string(quote_attrib(self.swaplevel).encode(ExternalEncoding), input_name='swaplevel'), )) if self.addlevel is not None and 'addlevel' not in already_processed: already_processed.append('addlevel') outfile.write(' addlevel=%s' % (self.gds_format_string(quote_attrib(self.addlevel).encode(ExternalEncoding), input_name='addlevel'), )) if self.y is not None and 'y' not in already_processed: already_processed.append('y') outfile.write(' y=%s' % (self.gds_format_string(quote_attrib(self.y).encode(ExternalEncoding), input_name='y'), )) if self.x is not None and 'x' not in already_processed: already_processed.append('x') outfile.write(' x=%s' % (self.gds_format_string(quote_attrib(self.x).encode(ExternalEncoding), input_name='x'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='gate', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='gate'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) if self.symbol is not None and 'symbol' not in already_processed: already_processed.append('symbol') showIndent(outfile, level) outfile.write('symbol = "%s",\n' % (self.symbol,)) if self.swaplevel is not None and 'swaplevel' not in already_processed: already_processed.append('swaplevel') showIndent(outfile, level) outfile.write('swaplevel = "%s",\n' % (self.swaplevel,)) if self.addlevel is not None and 'addlevel' not in already_processed: already_processed.append('addlevel') showIndent(outfile, level) outfile.write('addlevel = "%s",\n' % (self.addlevel,)) if self.y is not None and 'y' not in already_processed: already_processed.append('y') showIndent(outfile, level) outfile.write('y = "%s",\n' % (self.y,)) if self.x is not None and 'x' not in already_processed: already_processed.append('x') showIndent(outfile, level) outfile.write('x = "%s",\n' % (self.x,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value value = find_attr_value_('symbol', node) if value is not None and 'symbol' not in already_processed: already_processed.append('symbol') self.symbol = value value = find_attr_value_('swaplevel', node) if value is not None and 'swaplevel' not in already_processed: already_processed.append('swaplevel') self.swaplevel = value value = find_attr_value_('addlevel', node) if value is not None and 'addlevel' not in already_processed: already_processed.append('addlevel') self.addlevel = value value = find_attr_value_('y', node) if value is not None and 'y' not in already_processed: already_processed.append('y') self.y = value value = find_attr_value_('x', node) if value is not None and 'x' not in already_processed: already_processed.append('x') self.x = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class gate class wire(GeneratedsSuper): subclass = None superclass = None def __init__(self, layer=None, y2=None, width=None, cap=None, curve=None, style=None, x2=None, extent=None, y1=None, x1=None): self.layer = _cast(None, layer) self.y2 = _cast(None, y2) self.width = _cast(None, width) self.cap = _cast(None, cap) self.curve = _cast(None, curve) self.style = _cast(None, style) self.x2 = _cast(None, x2) self.extent = _cast(None, extent) self.y1 = _cast(None, y1) self.x1 = _cast(None, x1) pass def factory(*args_, **kwargs_): if wire.subclass: return wire.subclass(*args_, **kwargs_) else: return wire(*args_, **kwargs_) factory = staticmethod(factory) def get_layer(self): return self.layer def set_layer(self, layer): self.layer = layer def get_y2(self): return self.y2 def set_y2(self, y2): self.y2 = y2 def get_width(self): return self.width def set_width(self, width): self.width = width def get_cap(self): return self.cap def set_cap(self, cap): self.cap = cap def get_curve(self): return self.curve def set_curve(self, curve): self.curve = curve def get_style(self): return self.style def set_style(self, style): self.style = style def get_x2(self): return self.x2 def set_x2(self, x2): self.x2 = x2 def get_extent(self): return self.extent def set_extent(self, extent): self.extent = extent def get_y1(self): return self.y1 def set_y1(self, y1): self.y1 = y1 def get_x1(self): return self.x1 def set_x1(self, x1): self.x1 = x1 def export(self, outfile, level, namespace_='t:', name_='wire', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='wire') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='wire'): if self.layer is not None and 'layer' not in already_processed: already_processed.append('layer') outfile.write(' layer=%s' % (self.gds_format_string(quote_attrib(self.layer).encode(ExternalEncoding), input_name='layer'), )) if self.y2 is not None and 'y2' not in already_processed: already_processed.append('y2') outfile.write(' y2=%s' % (self.gds_format_string(quote_attrib(self.y2).encode(ExternalEncoding), input_name='y2'), )) if self.width is not None and 'width' not in already_processed: already_processed.append('width') outfile.write(' width=%s' % (self.gds_format_string(quote_attrib(self.width).encode(ExternalEncoding), input_name='width'), )) if self.cap is not None and 'cap' not in already_processed: already_processed.append('cap') outfile.write(' cap=%s' % (self.gds_format_string(quote_attrib(self.cap).encode(ExternalEncoding), input_name='cap'), )) if self.curve is not None and 'curve' not in already_processed: already_processed.append('curve') outfile.write(' curve=%s' % (self.gds_format_string(quote_attrib(self.curve).encode(ExternalEncoding), input_name='curve'), )) if self.style is not None and 'style' not in already_processed: already_processed.append('style') outfile.write(' style=%s' % (self.gds_format_string(quote_attrib(self.style).encode(ExternalEncoding), input_name='style'), )) if self.x2 is not None and 'x2' not in already_processed: already_processed.append('x2') outfile.write(' x2=%s' % (self.gds_format_string(quote_attrib(self.x2).encode(ExternalEncoding), input_name='x2'), )) if self.extent is not None and 'extent' not in already_processed: already_processed.append('extent') outfile.write(' extent=%s' % (self.gds_format_string(quote_attrib(self.extent).encode(ExternalEncoding), input_name='extent'), )) if self.y1 is not None and 'y1' not in already_processed: already_processed.append('y1') outfile.write(' y1=%s' % (self.gds_format_string(quote_attrib(self.y1).encode(ExternalEncoding), input_name='y1'), )) if self.x1 is not None and 'x1' not in already_processed: already_processed.append('x1') outfile.write(' x1=%s' % (self.gds_format_string(quote_attrib(self.x1).encode(ExternalEncoding), input_name='x1'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='wire', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='wire'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.layer is not None and 'layer' not in already_processed: already_processed.append('layer') showIndent(outfile, level) outfile.write('layer = "%s",\n' % (self.layer,)) if self.y2 is not None and 'y2' not in already_processed: already_processed.append('y2') showIndent(outfile, level) outfile.write('y2 = "%s",\n' % (self.y2,)) if self.width is not None and 'width' not in already_processed: already_processed.append('width') showIndent(outfile, level) outfile.write('width = "%s",\n' % (self.width,)) if self.cap is not None and 'cap' not in already_processed: already_processed.append('cap') showIndent(outfile, level) outfile.write('cap = "%s",\n' % (self.cap,)) if self.curve is not None and 'curve' not in already_processed: already_processed.append('curve') showIndent(outfile, level) outfile.write('curve = "%s",\n' % (self.curve,)) if self.style is not None and 'style' not in already_processed: already_processed.append('style') showIndent(outfile, level) outfile.write('style = "%s",\n' % (self.style,)) if self.x2 is not None and 'x2' not in already_processed: already_processed.append('x2') showIndent(outfile, level) outfile.write('x2 = "%s",\n' % (self.x2,)) if self.extent is not None and 'extent' not in already_processed: already_processed.append('extent') showIndent(outfile, level) outfile.write('extent = "%s",\n' % (self.extent,)) if self.y1 is not None and 'y1' not in already_processed: already_processed.append('y1') showIndent(outfile, level) outfile.write('y1 = "%s",\n' % (self.y1,)) if self.x1 is not None and 'x1' not in already_processed: already_processed.append('x1') showIndent(outfile, level) outfile.write('x1 = "%s",\n' % (self.x1,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('layer', node) if value is not None and 'layer' not in already_processed: already_processed.append('layer') self.layer = value value = find_attr_value_('y2', node) if value is not None and 'y2' not in already_processed: already_processed.append('y2') self.y2 = value value = find_attr_value_('width', node) if value is not None and 'width' not in already_processed: already_processed.append('width') self.width = value value = find_attr_value_('cap', node) if value is not None and 'cap' not in already_processed: already_processed.append('cap') self.cap = value value = find_attr_value_('curve', node) if value is not None and 'curve' not in already_processed: already_processed.append('curve') self.curve = value value = find_attr_value_('style', node) if value is not None and 'style' not in already_processed: already_processed.append('style') self.style = value value = find_attr_value_('x2', node) if value is not None and 'x2' not in already_processed: already_processed.append('x2') self.x2 = value value = find_attr_value_('extent', node) if value is not None and 'extent' not in already_processed: already_processed.append('extent') self.extent = value value = find_attr_value_('y1', node) if value is not None and 'y1' not in already_processed: already_processed.append('y1') self.y1 = value value = find_attr_value_('x1', node) if value is not None and 'x1' not in already_processed: already_processed.append('x1') self.x1 = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class wire class dimension(GeneratedsSuper): subclass = None superclass = None def __init__(self, layer=None, y2=None, dtype=None, x2=None, y1=None, x3=None, y3=None, x1=None): self.layer = _cast(None, layer) self.y2 = _cast(None, y2) self.dtype = _cast(None, dtype) self.x2 = _cast(None, x2) self.y1 = _cast(None, y1) self.x3 = _cast(None, x3) self.y3 = _cast(None, y3) self.x1 = _cast(None, x1) pass def factory(*args_, **kwargs_): if dimension.subclass: return dimension.subclass(*args_, **kwargs_) else: return dimension(*args_, **kwargs_) factory = staticmethod(factory) def get_layer(self): return self.layer def set_layer(self, layer): self.layer = layer def get_y2(self): return self.y2 def set_y2(self, y2): self.y2 = y2 def get_dtype(self): return self.dtype def set_dtype(self, dtype): self.dtype = dtype def get_x2(self): return self.x2 def set_x2(self, x2): self.x2 = x2 def get_y1(self): return self.y1 def set_y1(self, y1): self.y1 = y1 def get_x3(self): return self.x3 def set_x3(self, x3): self.x3 = x3 def get_y3(self): return self.y3 def set_y3(self, y3): self.y3 = y3 def get_x1(self): return self.x1 def set_x1(self, x1): self.x1 = x1 def export(self, outfile, level, namespace_='t:', name_='dimension', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='dimension') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='dimension'): if self.layer is not None and 'layer' not in already_processed: already_processed.append('layer') outfile.write(' layer=%s' % (self.gds_format_string(quote_attrib(self.layer).encode(ExternalEncoding), input_name='layer'), )) if self.y2 is not None and 'y2' not in already_processed: already_processed.append('y2') outfile.write(' y2=%s' % (self.gds_format_string(quote_attrib(self.y2).encode(ExternalEncoding), input_name='y2'), )) if self.dtype is not None and 'dtype' not in already_processed: already_processed.append('dtype') outfile.write(' dtype=%s' % (self.gds_format_string(quote_attrib(self.dtype).encode(ExternalEncoding), input_name='dtype'), )) if self.x2 is not None and 'x2' not in already_processed: already_processed.append('x2') outfile.write(' x2=%s' % (self.gds_format_string(quote_attrib(self.x2).encode(ExternalEncoding), input_name='x2'), )) if self.y1 is not None and 'y1' not in already_processed: already_processed.append('y1') outfile.write(' y1=%s' % (self.gds_format_string(quote_attrib(self.y1).encode(ExternalEncoding), input_name='y1'), )) if self.x3 is not None and 'x3' not in already_processed: already_processed.append('x3') outfile.write(' x3=%s' % (self.gds_format_string(quote_attrib(self.x3).encode(ExternalEncoding), input_name='x3'), )) if self.y3 is not None and 'y3' not in already_processed: already_processed.append('y3') outfile.write(' y3=%s' % (self.gds_format_string(quote_attrib(self.y3).encode(ExternalEncoding), input_name='y3'), )) if self.x1 is not None and 'x1' not in already_processed: already_processed.append('x1') outfile.write(' x1=%s' % (self.gds_format_string(quote_attrib(self.x1).encode(ExternalEncoding), input_name='x1'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='dimension', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='dimension'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.layer is not None and 'layer' not in already_processed: already_processed.append('layer') showIndent(outfile, level) outfile.write('layer = "%s",\n' % (self.layer,)) if self.y2 is not None and 'y2' not in already_processed: already_processed.append('y2') showIndent(outfile, level) outfile.write('y2 = "%s",\n' % (self.y2,)) if self.dtype is not None and 'dtype' not in already_processed: already_processed.append('dtype') showIndent(outfile, level) outfile.write('dtype = "%s",\n' % (self.dtype,)) if self.x2 is not None and 'x2' not in already_processed: already_processed.append('x2') showIndent(outfile, level) outfile.write('x2 = "%s",\n' % (self.x2,)) if self.y1 is not None and 'y1' not in already_processed: already_processed.append('y1') showIndent(outfile, level) outfile.write('y1 = "%s",\n' % (self.y1,)) if self.x3 is not None and 'x3' not in already_processed: already_processed.append('x3') showIndent(outfile, level) outfile.write('x3 = "%s",\n' % (self.x3,)) if self.y3 is not None and 'y3' not in already_processed: already_processed.append('y3') showIndent(outfile, level) outfile.write('y3 = "%s",\n' % (self.y3,)) if self.x1 is not None and 'x1' not in already_processed: already_processed.append('x1') showIndent(outfile, level) outfile.write('x1 = "%s",\n' % (self.x1,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('layer', node) if value is not None and 'layer' not in already_processed: already_processed.append('layer') self.layer = value value = find_attr_value_('y2', node) if value is not None and 'y2' not in already_processed: already_processed.append('y2') self.y2 = value value = find_attr_value_('dtype', node) if value is not None and 'dtype' not in already_processed: already_processed.append('dtype') self.dtype = value value = find_attr_value_('x2', node) if value is not None and 'x2' not in already_processed: already_processed.append('x2') self.x2 = value value = find_attr_value_('y1', node) if value is not None and 'y1' not in already_processed: already_processed.append('y1') self.y1 = value value = find_attr_value_('x3', node) if value is not None and 'x3' not in already_processed: already_processed.append('x3') self.x3 = value value = find_attr_value_('y3', node) if value is not None and 'y3' not in already_processed: already_processed.append('y3') self.y3 = value value = find_attr_value_('x1', node) if value is not None and 'x1' not in already_processed: already_processed.append('x1') self.x1 = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class dimension class text(GeneratedsSuper): subclass = None superclass = None def __init__(self, layer=None, ratio=None, align=None, y=None, x=None, font=None, rot=None, size=None, valueOf_=None, mixedclass_=None, content_=None): self.layer = _cast(None, layer) self.ratio = _cast(None, ratio) self.align = _cast(None, align) self.y = _cast(None, y) self.x = _cast(None, x) self.font = _cast(None, font) self.rot = _cast(None, rot) self.size = _cast(None, size) self.valueOf_ = valueOf_ if mixedclass_ is None: self.mixedclass_ = MixedContainer else: self.mixedclass_ = mixedclass_ if content_ is None: self.content_ = [] else: self.content_ = content_ self.valueOf_ = valueOf_ def factory(*args_, **kwargs_): if text.subclass: return text.subclass(*args_, **kwargs_) else: return text(*args_, **kwargs_) factory = staticmethod(factory) def get_layer(self): return self.layer def set_layer(self, layer): self.layer = layer def get_ratio(self): return self.ratio def set_ratio(self, ratio): self.ratio = ratio def get_align(self): return self.align def set_align(self, align): self.align = align def get_y(self): return self.y def set_y(self, y): self.y = y def get_x(self): return self.x def set_x(self, x): self.x = x def get_font(self): return self.font def set_font(self, font): self.font = font def get_rot(self): return self.rot def set_rot(self, rot): self.rot = rot def get_size(self): return self.size def set_size(self, size): self.size = size def get_valueOf_(self): return self.valueOf_ def set_valueOf_(self, valueOf_): self.valueOf_ = valueOf_ def export(self, outfile, level, namespace_='t:', name_='text', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='text') outfile.write('>') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='text'): if self.layer is not None and 'layer' not in already_processed: already_processed.append('layer') outfile.write(' layer=%s' % (self.gds_format_string(quote_attrib(self.layer).encode(ExternalEncoding), input_name='layer'), )) if self.ratio is not None and 'ratio' not in already_processed: already_processed.append('ratio') outfile.write(' ratio=%s' % (self.gds_format_string(quote_attrib(self.ratio).encode(ExternalEncoding), input_name='ratio'), )) if self.align is not None and 'align' not in already_processed: already_processed.append('align') outfile.write(' align=%s' % (self.gds_format_string(quote_attrib(self.align).encode(ExternalEncoding), input_name='align'), )) if self.y is not None and 'y' not in already_processed: already_processed.append('y') outfile.write(' y=%s' % (self.gds_format_string(quote_attrib(self.y).encode(ExternalEncoding), input_name='y'), )) if self.x is not None and 'x' not in already_processed: already_processed.append('x') outfile.write(' x=%s' % (self.gds_format_string(quote_attrib(self.x).encode(ExternalEncoding), input_name='x'), )) if self.font is not None and 'font' not in already_processed: already_processed.append('font') outfile.write(' font=%s' % (self.gds_format_string(quote_attrib(self.font).encode(ExternalEncoding), input_name='font'), )) if self.rot is not None and 'rot' not in already_processed: already_processed.append('rot') outfile.write(' rot=%s' % (self.gds_format_string(quote_attrib(self.rot).encode(ExternalEncoding), input_name='rot'), )) if self.size is not None and 'size' not in already_processed: already_processed.append('size') outfile.write(' size=%s' % (self.gds_format_string(quote_attrib(self.size).encode(ExternalEncoding), input_name='size'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='text', fromsubclass_=False): pass def hasContent_(self): if ( self.valueOf_ ): return True else: return False def exportLiteral(self, outfile, level, name_='text'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) showIndent(outfile, level) outfile.write('valueOf_ = """%s""",\n' % (self.valueOf_,)) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.layer is not None and 'layer' not in already_processed: already_processed.append('layer') showIndent(outfile, level) outfile.write('layer = "%s",\n' % (self.layer,)) if self.ratio is not None and 'ratio' not in already_processed: already_processed.append('ratio') showIndent(outfile, level) outfile.write('ratio = "%s",\n' % (self.ratio,)) if self.align is not None and 'align' not in already_processed: already_processed.append('align') showIndent(outfile, level) outfile.write('align = "%s",\n' % (self.align,)) if self.y is not None and 'y' not in already_processed: already_processed.append('y') showIndent(outfile, level) outfile.write('y = "%s",\n' % (self.y,)) if self.x is not None and 'x' not in already_processed: already_processed.append('x') showIndent(outfile, level) outfile.write('x = "%s",\n' % (self.x,)) if self.font is not None and 'font' not in already_processed: already_processed.append('font') showIndent(outfile, level) outfile.write('font = "%s",\n' % (self.font,)) if self.rot is not None and 'rot' not in already_processed: already_processed.append('rot') showIndent(outfile, level) outfile.write('rot = "%s",\n' % (self.rot,)) if self.size is not None and 'size' not in already_processed: already_processed.append('size') showIndent(outfile, level) outfile.write('size = "%s",\n' % (self.size,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) self.valueOf_ = get_all_text_(node) if node.text is not None: obj_ = self.mixedclass_(MixedContainer.CategoryText, MixedContainer.TypeNone, '', node.text) self.content_.append(obj_) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('layer', node) if value is not None and 'layer' not in already_processed: already_processed.append('layer') self.layer = value value = find_attr_value_('ratio', node) if value is not None and 'ratio' not in already_processed: already_processed.append('ratio') self.ratio = value value = find_attr_value_('align', node) if value is not None and 'align' not in already_processed: already_processed.append('align') self.align = value value = find_attr_value_('y', node) if value is not None and 'y' not in already_processed: already_processed.append('y') self.y = value value = find_attr_value_('x', node) if value is not None and 'x' not in already_processed: already_processed.append('x') self.x = value value = find_attr_value_('font', node) if value is not None and 'font' not in already_processed: already_processed.append('font') self.font = value value = find_attr_value_('rot', node) if value is not None and 'rot' not in already_processed: already_processed.append('rot') self.rot = value value = find_attr_value_('size', node) if value is not None and 'size' not in already_processed: already_processed.append('size') self.size = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if not fromsubclass_ and child_.tail is not None: obj_ = self.mixedclass_(MixedContainer.CategoryText, MixedContainer.TypeNone, '', child_.tail) self.content_.append(obj_) pass # end class text class circle(GeneratedsSuper): subclass = None superclass = None def __init__(self, y=None, x=None, layer=None, radius=None, width=None): self.y = _cast(None, y) self.x = _cast(None, x) self.layer = _cast(None, layer) self.radius = _cast(None, radius) self.width = _cast(None, width) pass def factory(*args_, **kwargs_): if circle.subclass: return circle.subclass(*args_, **kwargs_) else: return circle(*args_, **kwargs_) factory = staticmethod(factory) def get_y(self): return self.y def set_y(self, y): self.y = y def get_x(self): return self.x def set_x(self, x): self.x = x def get_layer(self): return self.layer def set_layer(self, layer): self.layer = layer def get_radius(self): return self.radius def set_radius(self, radius): self.radius = radius def get_width(self): return self.width def set_width(self, width): self.width = width def export(self, outfile, level, namespace_='t:', name_='circle', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='circle') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='circle'): if self.y is not None and 'y' not in already_processed: already_processed.append('y') outfile.write(' y=%s' % (self.gds_format_string(quote_attrib(self.y).encode(ExternalEncoding), input_name='y'), )) if self.x is not None and 'x' not in already_processed: already_processed.append('x') outfile.write(' x=%s' % (self.gds_format_string(quote_attrib(self.x).encode(ExternalEncoding), input_name='x'), )) if self.layer is not None and 'layer' not in already_processed: already_processed.append('layer') outfile.write(' layer=%s' % (self.gds_format_string(quote_attrib(self.layer).encode(ExternalEncoding), input_name='layer'), )) if self.radius is not None and 'radius' not in already_processed: already_processed.append('radius') outfile.write(' radius=%s' % (self.gds_format_string(quote_attrib(self.radius).encode(ExternalEncoding), input_name='radius'), )) if self.width is not None and 'width' not in already_processed: already_processed.append('width') outfile.write(' width=%s' % (self.gds_format_string(quote_attrib(self.width).encode(ExternalEncoding), input_name='width'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='circle', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='circle'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.y is not None and 'y' not in already_processed: already_processed.append('y') showIndent(outfile, level) outfile.write('y = "%s",\n' % (self.y,)) if self.x is not None and 'x' not in already_processed: already_processed.append('x') showIndent(outfile, level) outfile.write('x = "%s",\n' % (self.x,)) if self.layer is not None and 'layer' not in already_processed: already_processed.append('layer') showIndent(outfile, level) outfile.write('layer = "%s",\n' % (self.layer,)) if self.radius is not None and 'radius' not in already_processed: already_processed.append('radius') showIndent(outfile, level) outfile.write('radius = "%s",\n' % (self.radius,)) if self.width is not None and 'width' not in already_processed: already_processed.append('width') showIndent(outfile, level) outfile.write('width = "%s",\n' % (self.width,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('y', node) if value is not None and 'y' not in already_processed: already_processed.append('y') self.y = value value = find_attr_value_('x', node) if value is not None and 'x' not in already_processed: already_processed.append('x') self.x = value value = find_attr_value_('layer', node) if value is not None and 'layer' not in already_processed: already_processed.append('layer') self.layer = value value = find_attr_value_('radius', node) if value is not None and 'radius' not in already_processed: already_processed.append('radius') self.radius = value value = find_attr_value_('width', node) if value is not None and 'width' not in already_processed: already_processed.append('width') self.width = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class circle class rectangle(GeneratedsSuper): subclass = None superclass = None def __init__(self, layer=None, y2=None, x2=None, y1=None, x1=None, rot=None): self.layer = _cast(None, layer) self.y2 = _cast(None, y2) self.x2 = _cast(None, x2) self.y1 = _cast(None, y1) self.x1 = _cast(None, x1) self.rot = _cast(None, rot) pass def factory(*args_, **kwargs_): if rectangle.subclass: return rectangle.subclass(*args_, **kwargs_) else: return rectangle(*args_, **kwargs_) factory = staticmethod(factory) def get_layer(self): return self.layer def set_layer(self, layer): self.layer = layer def get_y2(self): return self.y2 def set_y2(self, y2): self.y2 = y2 def get_x2(self): return self.x2 def set_x2(self, x2): self.x2 = x2 def get_y1(self): return self.y1 def set_y1(self, y1): self.y1 = y1 def get_x1(self): return self.x1 def set_x1(self, x1): self.x1 = x1 def get_rot(self): return self.rot def set_rot(self, rot): self.rot = rot def export(self, outfile, level, namespace_='t:', name_='rectangle', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='rectangle') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='rectangle'): if self.layer is not None and 'layer' not in already_processed: already_processed.append('layer') outfile.write(' layer=%s' % (self.gds_format_string(quote_attrib(self.layer).encode(ExternalEncoding), input_name='layer'), )) if self.y2 is not None and 'y2' not in already_processed: already_processed.append('y2') outfile.write(' y2=%s' % (self.gds_format_string(quote_attrib(self.y2).encode(ExternalEncoding), input_name='y2'), )) if self.x2 is not None and 'x2' not in already_processed: already_processed.append('x2') outfile.write(' x2=%s' % (self.gds_format_string(quote_attrib(self.x2).encode(ExternalEncoding), input_name='x2'), )) if self.y1 is not None and 'y1' not in already_processed: already_processed.append('y1') outfile.write(' y1=%s' % (self.gds_format_string(quote_attrib(self.y1).encode(ExternalEncoding), input_name='y1'), )) if self.x1 is not None and 'x1' not in already_processed: already_processed.append('x1') outfile.write(' x1=%s' % (self.gds_format_string(quote_attrib(self.x1).encode(ExternalEncoding), input_name='x1'), )) if self.rot is not None and 'rot' not in already_processed: already_processed.append('rot') outfile.write(' rot=%s' % (self.gds_format_string(quote_attrib(self.rot).encode(ExternalEncoding), input_name='rot'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='rectangle', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='rectangle'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.layer is not None and 'layer' not in already_processed: already_processed.append('layer') showIndent(outfile, level) outfile.write('layer = "%s",\n' % (self.layer,)) if self.y2 is not None and 'y2' not in already_processed: already_processed.append('y2') showIndent(outfile, level) outfile.write('y2 = "%s",\n' % (self.y2,)) if self.x2 is not None and 'x2' not in already_processed: already_processed.append('x2') showIndent(outfile, level) outfile.write('x2 = "%s",\n' % (self.x2,)) if self.y1 is not None and 'y1' not in already_processed: already_processed.append('y1') showIndent(outfile, level) outfile.write('y1 = "%s",\n' % (self.y1,)) if self.x1 is not None and 'x1' not in already_processed: already_processed.append('x1') showIndent(outfile, level) outfile.write('x1 = "%s",\n' % (self.x1,)) if self.rot is not None and 'rot' not in already_processed: already_processed.append('rot') showIndent(outfile, level) outfile.write('rot = "%s",\n' % (self.rot,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('layer', node) if value is not None and 'layer' not in already_processed: already_processed.append('layer') self.layer = value value = find_attr_value_('y2', node) if value is not None and 'y2' not in already_processed: already_processed.append('y2') self.y2 = value value = find_attr_value_('x2', node) if value is not None and 'x2' not in already_processed: already_processed.append('x2') self.x2 = value value = find_attr_value_('y1', node) if value is not None and 'y1' not in already_processed: already_processed.append('y1') self.y1 = value value = find_attr_value_('x1', node) if value is not None and 'x1' not in already_processed: already_processed.append('x1') self.x1 = value value = find_attr_value_('rot', node) if value is not None and 'rot' not in already_processed: already_processed.append('rot') self.rot = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class rectangle class frame(GeneratedsSuper): subclass = None superclass = None def __init__(self, y2=None, layer=None, rows=None, border_right=None, border_bottom=None, x2=None, border_top=None, border_left=None, y1=None, x1=None, columns=None): self.y2 = _cast(None, y2) self.layer = _cast(None, layer) self.rows = _cast(None, rows) self.border_right = _cast(None, border_right) self.border_bottom = _cast(None, border_bottom) self.x2 = _cast(None, x2) self.border_top = _cast(None, border_top) self.border_left = _cast(None, border_left) self.y1 = _cast(None, y1) self.x1 = _cast(None, x1) self.columns = _cast(None, columns) pass def factory(*args_, **kwargs_): if frame.subclass: return frame.subclass(*args_, **kwargs_) else: return frame(*args_, **kwargs_) factory = staticmethod(factory) def get_y2(self): return self.y2 def set_y2(self, y2): self.y2 = y2 def get_layer(self): return self.layer def set_layer(self, layer): self.layer = layer def get_rows(self): return self.rows def set_rows(self, rows): self.rows = rows def get_border_right(self): return self.border_right def set_border_right(self, border_right): self.border_right = border_right def get_border_bottom(self): return self.border_bottom def set_border_bottom(self, border_bottom): self.border_bottom = border_bottom def get_x2(self): return self.x2 def set_x2(self, x2): self.x2 = x2 def get_border_top(self): return self.border_top def set_border_top(self, border_top): self.border_top = border_top def get_border_left(self): return self.border_left def set_border_left(self, border_left): self.border_left = border_left def get_y1(self): return self.y1 def set_y1(self, y1): self.y1 = y1 def get_x1(self): return self.x1 def set_x1(self, x1): self.x1 = x1 def get_columns(self): return self.columns def set_columns(self, columns): self.columns = columns def export(self, outfile, level, namespace_='t:', name_='frame', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='frame') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='frame'): if self.y2 is not None and 'y2' not in already_processed: already_processed.append('y2') outfile.write(' y2=%s' % (self.gds_format_string(quote_attrib(self.y2).encode(ExternalEncoding), input_name='y2'), )) if self.layer is not None and 'layer' not in already_processed: already_processed.append('layer') outfile.write(' layer=%s' % (self.gds_format_string(quote_attrib(self.layer).encode(ExternalEncoding), input_name='layer'), )) if self.rows is not None and 'rows' not in already_processed: already_processed.append('rows') outfile.write(' rows=%s' % (self.gds_format_string(quote_attrib(self.rows).encode(ExternalEncoding), input_name='rows'), )) if self.border_right is not None and 'border_right' not in already_processed: already_processed.append('border_right') outfile.write(' border-right=%s' % (self.gds_format_string(quote_attrib(self.border_right).encode(ExternalEncoding), input_name='border-right'), )) if self.border_bottom is not None and 'border_bottom' not in already_processed: already_processed.append('border_bottom') outfile.write(' border-bottom=%s' % (self.gds_format_string(quote_attrib(self.border_bottom).encode(ExternalEncoding), input_name='border-bottom'), )) if self.x2 is not None and 'x2' not in already_processed: already_processed.append('x2') outfile.write(' x2=%s' % (self.gds_format_string(quote_attrib(self.x2).encode(ExternalEncoding), input_name='x2'), )) if self.border_top is not None and 'border_top' not in already_processed: already_processed.append('border_top') outfile.write(' border-top=%s' % (self.gds_format_string(quote_attrib(self.border_top).encode(ExternalEncoding), input_name='border-top'), )) if self.border_left is not None and 'border_left' not in already_processed: already_processed.append('border_left') outfile.write(' border-left=%s' % (self.gds_format_string(quote_attrib(self.border_left).encode(ExternalEncoding), input_name='border-left'), )) if self.y1 is not None and 'y1' not in already_processed: already_processed.append('y1') outfile.write(' y1=%s' % (self.gds_format_string(quote_attrib(self.y1).encode(ExternalEncoding), input_name='y1'), )) if self.x1 is not None and 'x1' not in already_processed: already_processed.append('x1') outfile.write(' x1=%s' % (self.gds_format_string(quote_attrib(self.x1).encode(ExternalEncoding), input_name='x1'), )) if self.columns is not None and 'columns' not in already_processed: already_processed.append('columns') outfile.write(' columns=%s' % (self.gds_format_string(quote_attrib(self.columns).encode(ExternalEncoding), input_name='columns'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='frame', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='frame'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.y2 is not None and 'y2' not in already_processed: already_processed.append('y2') showIndent(outfile, level) outfile.write('y2 = "%s",\n' % (self.y2,)) if self.layer is not None and 'layer' not in already_processed: already_processed.append('layer') showIndent(outfile, level) outfile.write('layer = "%s",\n' % (self.layer,)) if self.rows is not None and 'rows' not in already_processed: already_processed.append('rows') showIndent(outfile, level) outfile.write('rows = "%s",\n' % (self.rows,)) if self.border_right is not None and 'border_right' not in already_processed: already_processed.append('border_right') showIndent(outfile, level) outfile.write('border_right = "%s",\n' % (self.border_right,)) if self.border_bottom is not None and 'border_bottom' not in already_processed: already_processed.append('border_bottom') showIndent(outfile, level) outfile.write('border_bottom = "%s",\n' % (self.border_bottom,)) if self.x2 is not None and 'x2' not in already_processed: already_processed.append('x2') showIndent(outfile, level) outfile.write('x2 = "%s",\n' % (self.x2,)) if self.border_top is not None and 'border_top' not in already_processed: already_processed.append('border_top') showIndent(outfile, level) outfile.write('border_top = "%s",\n' % (self.border_top,)) if self.border_left is not None and 'border_left' not in already_processed: already_processed.append('border_left') showIndent(outfile, level) outfile.write('border_left = "%s",\n' % (self.border_left,)) if self.y1 is not None and 'y1' not in already_processed: already_processed.append('y1') showIndent(outfile, level) outfile.write('y1 = "%s",\n' % (self.y1,)) if self.x1 is not None and 'x1' not in already_processed: already_processed.append('x1') showIndent(outfile, level) outfile.write('x1 = "%s",\n' % (self.x1,)) if self.columns is not None and 'columns' not in already_processed: already_processed.append('columns') showIndent(outfile, level) outfile.write('columns = "%s",\n' % (self.columns,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('y2', node) if value is not None and 'y2' not in already_processed: already_processed.append('y2') self.y2 = value value = find_attr_value_('layer', node) if value is not None and 'layer' not in already_processed: already_processed.append('layer') self.layer = value value = find_attr_value_('rows', node) if value is not None and 'rows' not in already_processed: already_processed.append('rows') self.rows = value value = find_attr_value_('border-right', node) if value is not None and 'border-right' not in already_processed: already_processed.append('border-right') self.border_right = value value = find_attr_value_('border-bottom', node) if value is not None and 'border-bottom' not in already_processed: already_processed.append('border-bottom') self.border_bottom = value value = find_attr_value_('x2', node) if value is not None and 'x2' not in already_processed: already_processed.append('x2') self.x2 = value value = find_attr_value_('border-top', node) if value is not None and 'border-top' not in already_processed: already_processed.append('border-top') self.border_top = value value = find_attr_value_('border-left', node) if value is not None and 'border-left' not in already_processed: already_processed.append('border-left') self.border_left = value value = find_attr_value_('y1', node) if value is not None and 'y1' not in already_processed: already_processed.append('y1') self.y1 = value value = find_attr_value_('x1', node) if value is not None and 'x1' not in already_processed: already_processed.append('x1') self.x1 = value value = find_attr_value_('columns', node) if value is not None and 'columns' not in already_processed: already_processed.append('columns') self.columns = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class frame class hole(GeneratedsSuper): subclass = None superclass = None def __init__(self, y=None, x=None, drill=None): self.y = _cast(None, y) self.x = _cast(None, x) self.drill = _cast(None, drill) pass def factory(*args_, **kwargs_): if hole.subclass: return hole.subclass(*args_, **kwargs_) else: return hole(*args_, **kwargs_) factory = staticmethod(factory) def get_y(self): return self.y def set_y(self, y): self.y = y def get_x(self): return self.x def set_x(self, x): self.x = x def get_drill(self): return self.drill def set_drill(self, drill): self.drill = drill def export(self, outfile, level, namespace_='t:', name_='hole', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='hole') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='hole'): if self.y is not None and 'y' not in already_processed: already_processed.append('y') outfile.write(' y=%s' % (self.gds_format_string(quote_attrib(self.y).encode(ExternalEncoding), input_name='y'), )) if self.x is not None and 'x' not in already_processed: already_processed.append('x') outfile.write(' x=%s' % (self.gds_format_string(quote_attrib(self.x).encode(ExternalEncoding), input_name='x'), )) if self.drill is not None and 'drill' not in already_processed: already_processed.append('drill') outfile.write(' drill=%s' % (self.gds_format_string(quote_attrib(self.drill).encode(ExternalEncoding), input_name='drill'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='hole', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='hole'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.y is not None and 'y' not in already_processed: already_processed.append('y') showIndent(outfile, level) outfile.write('y = "%s",\n' % (self.y,)) if self.x is not None and 'x' not in already_processed: already_processed.append('x') showIndent(outfile, level) outfile.write('x = "%s",\n' % (self.x,)) if self.drill is not None and 'drill' not in already_processed: already_processed.append('drill') showIndent(outfile, level) outfile.write('drill = "%s",\n' % (self.drill,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('y', node) if value is not None and 'y' not in already_processed: already_processed.append('y') self.y = value value = find_attr_value_('x', node) if value is not None and 'x' not in already_processed: already_processed.append('x') self.x = value value = find_attr_value_('drill', node) if value is not None and 'drill' not in already_processed: already_processed.append('drill') self.drill = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class hole class pad(GeneratedsSuper): subclass = None superclass = None def __init__(self, diameter=None, thermals=None, name=None, stop=None, shape=None, drill=None, y=None, x=None, rot=None, first=None): self.diameter = _cast(None, diameter) self.thermals = _cast(None, thermals) self.name = _cast(None, name) self.stop = _cast(None, stop) self.shape = _cast(None, shape) self.drill = _cast(None, drill) self.y = _cast(None, y) self.x = _cast(None, x) self.rot = _cast(None, rot) self.first = _cast(None, first) pass def factory(*args_, **kwargs_): if pad.subclass: return pad.subclass(*args_, **kwargs_) else: return pad(*args_, **kwargs_) factory = staticmethod(factory) def get_diameter(self): return self.diameter def set_diameter(self, diameter): self.diameter = diameter def get_thermals(self): return self.thermals def set_thermals(self, thermals): self.thermals = thermals def get_name(self): return self.name def set_name(self, name): self.name = name def get_stop(self): return self.stop def set_stop(self, stop): self.stop = stop def get_shape(self): return self.shape def set_shape(self, shape): self.shape = shape def get_drill(self): return self.drill def set_drill(self, drill): self.drill = drill def get_y(self): return self.y def set_y(self, y): self.y = y def get_x(self): return self.x def set_x(self, x): self.x = x def get_rot(self): return self.rot def set_rot(self, rot): self.rot = rot def get_first(self): return self.first def set_first(self, first): self.first = first def export(self, outfile, level, namespace_='t:', name_='pad', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='pad') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='pad'): if self.diameter is not None and 'diameter' not in already_processed: already_processed.append('diameter') outfile.write(' diameter=%s' % (self.gds_format_string(quote_attrib(self.diameter).encode(ExternalEncoding), input_name='diameter'), )) if self.thermals is not None and 'thermals' not in already_processed: already_processed.append('thermals') outfile.write(' thermals=%s' % (self.gds_format_string(quote_attrib(self.thermals).encode(ExternalEncoding), input_name='thermals'), )) if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) if self.stop is not None and 'stop' not in already_processed: already_processed.append('stop') outfile.write(' stop=%s' % (self.gds_format_string(quote_attrib(self.stop).encode(ExternalEncoding), input_name='stop'), )) if self.shape is not None and 'shape' not in already_processed: already_processed.append('shape') outfile.write(' shape=%s' % (self.gds_format_string(quote_attrib(self.shape).encode(ExternalEncoding), input_name='shape'), )) if self.drill is not None and 'drill' not in already_processed: already_processed.append('drill') outfile.write(' drill=%s' % (self.gds_format_string(quote_attrib(self.drill).encode(ExternalEncoding), input_name='drill'), )) if self.y is not None and 'y' not in already_processed: already_processed.append('y') outfile.write(' y=%s' % (self.gds_format_string(quote_attrib(self.y).encode(ExternalEncoding), input_name='y'), )) if self.x is not None and 'x' not in already_processed: already_processed.append('x') outfile.write(' x=%s' % (self.gds_format_string(quote_attrib(self.x).encode(ExternalEncoding), input_name='x'), )) if self.rot is not None and 'rot' not in already_processed: already_processed.append('rot') outfile.write(' rot=%s' % (self.gds_format_string(quote_attrib(self.rot).encode(ExternalEncoding), input_name='rot'), )) if self.first is not None and 'first' not in already_processed: already_processed.append('first') outfile.write(' first=%s' % (self.gds_format_string(quote_attrib(self.first).encode(ExternalEncoding), input_name='first'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='pad', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='pad'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.diameter is not None and 'diameter' not in already_processed: already_processed.append('diameter') showIndent(outfile, level) outfile.write('diameter = "%s",\n' % (self.diameter,)) if self.thermals is not None and 'thermals' not in already_processed: already_processed.append('thermals') showIndent(outfile, level) outfile.write('thermals = "%s",\n' % (self.thermals,)) if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) if self.stop is not None and 'stop' not in already_processed: already_processed.append('stop') showIndent(outfile, level) outfile.write('stop = "%s",\n' % (self.stop,)) if self.shape is not None and 'shape' not in already_processed: already_processed.append('shape') showIndent(outfile, level) outfile.write('shape = "%s",\n' % (self.shape,)) if self.drill is not None and 'drill' not in already_processed: already_processed.append('drill') showIndent(outfile, level) outfile.write('drill = "%s",\n' % (self.drill,)) if self.y is not None and 'y' not in already_processed: already_processed.append('y') showIndent(outfile, level) outfile.write('y = "%s",\n' % (self.y,)) if self.x is not None and 'x' not in already_processed: already_processed.append('x') showIndent(outfile, level) outfile.write('x = "%s",\n' % (self.x,)) if self.rot is not None and 'rot' not in already_processed: already_processed.append('rot') showIndent(outfile, level) outfile.write('rot = "%s",\n' % (self.rot,)) if self.first is not None and 'first' not in already_processed: already_processed.append('first') showIndent(outfile, level) outfile.write('first = "%s",\n' % (self.first,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('diameter', node) if value is not None and 'diameter' not in already_processed: already_processed.append('diameter') self.diameter = value value = find_attr_value_('thermals', node) if value is not None and 'thermals' not in already_processed: already_processed.append('thermals') self.thermals = value value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value value = find_attr_value_('stop', node) if value is not None and 'stop' not in already_processed: already_processed.append('stop') self.stop = value value = find_attr_value_('shape', node) if value is not None and 'shape' not in already_processed: already_processed.append('shape') self.shape = value value = find_attr_value_('drill', node) if value is not None and 'drill' not in already_processed: already_processed.append('drill') self.drill = value value = find_attr_value_('y', node) if value is not None and 'y' not in already_processed: already_processed.append('y') self.y = value value = find_attr_value_('x', node) if value is not None and 'x' not in already_processed: already_processed.append('x') self.x = value value = find_attr_value_('rot', node) if value is not None and 'rot' not in already_processed: already_processed.append('rot') self.rot = value value = find_attr_value_('first', node) if value is not None and 'first' not in already_processed: already_processed.append('first') self.first = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class pad class smd(GeneratedsSuper): subclass = None superclass = None def __init__(self, layer=None, thermals=None, name=None, stop=None, roundness=None, dx=None, dy=None, y=None, x=None, rot=None, cream=None): self.layer = _cast(None, layer) self.thermals = _cast(None, thermals) self.name = _cast(None, name) self.stop = _cast(None, stop) self.roundness = _cast(None, roundness) self.dx = _cast(None, dx) self.dy = _cast(None, dy) self.y = _cast(None, y) self.x = _cast(None, x) self.rot = _cast(None, rot) self.cream = _cast(None, cream) pass def factory(*args_, **kwargs_): if smd.subclass: return smd.subclass(*args_, **kwargs_) else: return smd(*args_, **kwargs_) factory = staticmethod(factory) def get_layer(self): return self.layer def set_layer(self, layer): self.layer = layer def get_thermals(self): return self.thermals def set_thermals(self, thermals): self.thermals = thermals def get_name(self): return self.name def set_name(self, name): self.name = name def get_stop(self): return self.stop def set_stop(self, stop): self.stop = stop def get_roundness(self): return self.roundness def set_roundness(self, roundness): self.roundness = roundness def get_dx(self): return self.dx def set_dx(self, dx): self.dx = dx def get_dy(self): return self.dy def set_dy(self, dy): self.dy = dy def get_y(self): return self.y def set_y(self, y): self.y = y def get_x(self): return self.x def set_x(self, x): self.x = x def get_rot(self): return self.rot def set_rot(self, rot): self.rot = rot def get_cream(self): return self.cream def set_cream(self, cream): self.cream = cream def export(self, outfile, level, namespace_='t:', name_='smd', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='smd') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='smd'): if self.layer is not None and 'layer' not in already_processed: already_processed.append('layer') outfile.write(' layer=%s' % (self.gds_format_string(quote_attrib(self.layer).encode(ExternalEncoding), input_name='layer'), )) if self.thermals is not None and 'thermals' not in already_processed: already_processed.append('thermals') outfile.write(' thermals=%s' % (self.gds_format_string(quote_attrib(self.thermals).encode(ExternalEncoding), input_name='thermals'), )) if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) if self.stop is not None and 'stop' not in already_processed: already_processed.append('stop') outfile.write(' stop=%s' % (self.gds_format_string(quote_attrib(self.stop).encode(ExternalEncoding), input_name='stop'), )) if self.roundness is not None and 'roundness' not in already_processed: already_processed.append('roundness') outfile.write(' roundness=%s' % (self.gds_format_string(quote_attrib(self.roundness).encode(ExternalEncoding), input_name='roundness'), )) if self.dx is not None and 'dx' not in already_processed: already_processed.append('dx') outfile.write(' dx=%s' % (self.gds_format_string(quote_attrib(self.dx).encode(ExternalEncoding), input_name='dx'), )) if self.dy is not None and 'dy' not in already_processed: already_processed.append('dy') outfile.write(' dy=%s' % (self.gds_format_string(quote_attrib(self.dy).encode(ExternalEncoding), input_name='dy'), )) if self.y is not None and 'y' not in already_processed: already_processed.append('y') outfile.write(' y=%s' % (self.gds_format_string(quote_attrib(self.y).encode(ExternalEncoding), input_name='y'), )) if self.x is not None and 'x' not in already_processed: already_processed.append('x') outfile.write(' x=%s' % (self.gds_format_string(quote_attrib(self.x).encode(ExternalEncoding), input_name='x'), )) if self.rot is not None and 'rot' not in already_processed: already_processed.append('rot') outfile.write(' rot=%s' % (self.gds_format_string(quote_attrib(self.rot).encode(ExternalEncoding), input_name='rot'), )) if self.cream is not None and 'cream' not in already_processed: already_processed.append('cream') outfile.write(' cream=%s' % (self.gds_format_string(quote_attrib(self.cream).encode(ExternalEncoding), input_name='cream'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='smd', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='smd'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.layer is not None and 'layer' not in already_processed: already_processed.append('layer') showIndent(outfile, level) outfile.write('layer = "%s",\n' % (self.layer,)) if self.thermals is not None and 'thermals' not in already_processed: already_processed.append('thermals') showIndent(outfile, level) outfile.write('thermals = "%s",\n' % (self.thermals,)) if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) if self.stop is not None and 'stop' not in already_processed: already_processed.append('stop') showIndent(outfile, level) outfile.write('stop = "%s",\n' % (self.stop,)) if self.roundness is not None and 'roundness' not in already_processed: already_processed.append('roundness') showIndent(outfile, level) outfile.write('roundness = "%s",\n' % (self.roundness,)) if self.dx is not None and 'dx' not in already_processed: already_processed.append('dx') showIndent(outfile, level) outfile.write('dx = "%s",\n' % (self.dx,)) if self.dy is not None and 'dy' not in already_processed: already_processed.append('dy') showIndent(outfile, level) outfile.write('dy = "%s",\n' % (self.dy,)) if self.y is not None and 'y' not in already_processed: already_processed.append('y') showIndent(outfile, level) outfile.write('y = "%s",\n' % (self.y,)) if self.x is not None and 'x' not in already_processed: already_processed.append('x') showIndent(outfile, level) outfile.write('x = "%s",\n' % (self.x,)) if self.rot is not None and 'rot' not in already_processed: already_processed.append('rot') showIndent(outfile, level) outfile.write('rot = "%s",\n' % (self.rot,)) if self.cream is not None and 'cream' not in already_processed: already_processed.append('cream') showIndent(outfile, level) outfile.write('cream = "%s",\n' % (self.cream,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('layer', node) if value is not None and 'layer' not in already_processed: already_processed.append('layer') self.layer = value value = find_attr_value_('thermals', node) if value is not None and 'thermals' not in already_processed: already_processed.append('thermals') self.thermals = value value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value value = find_attr_value_('stop', node) if value is not None and 'stop' not in already_processed: already_processed.append('stop') self.stop = value value = find_attr_value_('roundness', node) if value is not None and 'roundness' not in already_processed: already_processed.append('roundness') self.roundness = value value = find_attr_value_('dx', node) if value is not None and 'dx' not in already_processed: already_processed.append('dx') self.dx = value value = find_attr_value_('dy', node) if value is not None and 'dy' not in already_processed: already_processed.append('dy') self.dy = value value = find_attr_value_('y', node) if value is not None and 'y' not in already_processed: already_processed.append('y') self.y = value value = find_attr_value_('x', node) if value is not None and 'x' not in already_processed: already_processed.append('x') self.x = value value = find_attr_value_('rot', node) if value is not None and 'rot' not in already_processed: already_processed.append('rot') self.rot = value value = find_attr_value_('cream', node) if value is not None and 'cream' not in already_processed: already_processed.append('cream') self.cream = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class smd class element(GeneratedsSuper): subclass = None superclass = None def __init__(self, locked=None, name=None, package=None, value=None, smashed=None, library=None, y=None, x=None, rot=None, attribute=None, variant=None): self.locked = _cast(None, locked) self.name = _cast(None, name) self.package = _cast(None, package) self.value = _cast(None, value) self.smashed = _cast(None, smashed) self.library = _cast(None, library) self.y = _cast(None, y) self.x = _cast(None, x) self.rot = _cast(None, rot) if attribute is None: self.attribute = [] else: self.attribute = attribute if variant is None: self.variant = [] else: self.variant = variant def factory(*args_, **kwargs_): if element.subclass: return element.subclass(*args_, **kwargs_) else: return element(*args_, **kwargs_) factory = staticmethod(factory) def get_attribute(self): return self.attribute def set_attribute(self, attribute): self.attribute = attribute def add_attribute(self, value): self.attribute.append(value) def insert_attribute(self, index, value): self.attribute[index] = value def get_variant(self): return self.variant def set_variant(self, variant): self.variant = variant def add_variant(self, value): self.variant.append(value) def insert_variant(self, index, value): self.variant[index] = value def get_locked(self): return self.locked def set_locked(self, locked): self.locked = locked def get_name(self): return self.name def set_name(self, name): self.name = name def get_package(self): return self.package def set_package(self, package): self.package = package def get_value(self): return self.value def set_value(self, value): self.value = value def get_smashed(self): return self.smashed def set_smashed(self, smashed): self.smashed = smashed def get_library(self): return self.library def set_library(self, library): self.library = library def get_y(self): return self.y def set_y(self, y): self.y = y def get_x(self): return self.x def set_x(self, x): self.x = x def get_rot(self): return self.rot def set_rot(self, rot): self.rot = rot def export(self, outfile, level, namespace_='t:', name_='element', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='element') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='element'): if self.locked is not None and 'locked' not in already_processed: already_processed.append('locked') outfile.write(' locked=%s' % (self.gds_format_string(quote_attrib(self.locked).encode(ExternalEncoding), input_name='locked'), )) if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) if self.package is not None and 'package' not in already_processed: already_processed.append('package') outfile.write(' package=%s' % (self.gds_format_string(quote_attrib(self.package).encode(ExternalEncoding), input_name='package'), )) if self.value is not None and 'value' not in already_processed: already_processed.append('value') outfile.write(' value=%s' % (self.gds_format_string(quote_attrib(self.value).encode(ExternalEncoding), input_name='value'), )) if self.smashed is not None and 'smashed' not in already_processed: already_processed.append('smashed') outfile.write(' smashed=%s' % (self.gds_format_string(quote_attrib(self.smashed).encode(ExternalEncoding), input_name='smashed'), )) if self.library is not None and 'library' not in already_processed: already_processed.append('library') outfile.write(' library=%s' % (self.gds_format_string(quote_attrib(self.library).encode(ExternalEncoding), input_name='library'), )) if self.y is not None and 'y' not in already_processed: already_processed.append('y') outfile.write(' y=%s' % (self.gds_format_string(quote_attrib(self.y).encode(ExternalEncoding), input_name='y'), )) if self.x is not None and 'x' not in already_processed: already_processed.append('x') outfile.write(' x=%s' % (self.gds_format_string(quote_attrib(self.x).encode(ExternalEncoding), input_name='x'), )) if self.rot is not None and 'rot' not in already_processed: already_processed.append('rot') outfile.write(' rot=%s' % (self.gds_format_string(quote_attrib(self.rot).encode(ExternalEncoding), input_name='rot'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='element', fromsubclass_=False): for attribute_ in self.attribute: attribute_.export(outfile, level, namespace_, name_='attribute') for variant_ in self.variant: variant_.export(outfile, level, namespace_, name_='variant') def hasContent_(self): if ( self.attribute or self.variant ): return True else: return False def exportLiteral(self, outfile, level, name_='element'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.locked is not None and 'locked' not in already_processed: already_processed.append('locked') showIndent(outfile, level) outfile.write('locked = "%s",\n' % (self.locked,)) if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) if self.package is not None and 'package' not in already_processed: already_processed.append('package') showIndent(outfile, level) outfile.write('package = "%s",\n' % (self.package,)) if self.value is not None and 'value' not in already_processed: already_processed.append('value') showIndent(outfile, level) outfile.write('value = "%s",\n' % (self.value,)) if self.smashed is not None and 'smashed' not in already_processed: already_processed.append('smashed') showIndent(outfile, level) outfile.write('smashed = "%s",\n' % (self.smashed,)) if self.library is not None and 'library' not in already_processed: already_processed.append('library') showIndent(outfile, level) outfile.write('library = "%s",\n' % (self.library,)) if self.y is not None and 'y' not in already_processed: already_processed.append('y') showIndent(outfile, level) outfile.write('y = "%s",\n' % (self.y,)) if self.x is not None and 'x' not in already_processed: already_processed.append('x') showIndent(outfile, level) outfile.write('x = "%s",\n' % (self.x,)) if self.rot is not None and 'rot' not in already_processed: already_processed.append('rot') showIndent(outfile, level) outfile.write('rot = "%s",\n' % (self.rot,)) def exportLiteralChildren(self, outfile, level, name_): showIndent(outfile, level) outfile.write('attribute=[\n') level += 1 for attribute_ in self.attribute: showIndent(outfile, level) outfile.write('model_.attribute(\n') attribute_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('variant=[\n') level += 1 for variant_ in self.variant: showIndent(outfile, level) outfile.write('model_.variant(\n') variant_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('locked', node) if value is not None and 'locked' not in already_processed: already_processed.append('locked') self.locked = value value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value value = find_attr_value_('package', node) if value is not None and 'package' not in already_processed: already_processed.append('package') self.package = value value = find_attr_value_('value', node) if value is not None and 'value' not in already_processed: already_processed.append('value') self.value = value value = find_attr_value_('smashed', node) if value is not None and 'smashed' not in already_processed: already_processed.append('smashed') self.smashed = value value = find_attr_value_('library', node) if value is not None and 'library' not in already_processed: already_processed.append('library') self.library = value value = find_attr_value_('y', node) if value is not None and 'y' not in already_processed: already_processed.append('y') self.y = value value = find_attr_value_('x', node) if value is not None and 'x' not in already_processed: already_processed.append('x') self.x = value value = find_attr_value_('rot', node) if value is not None and 'rot' not in already_processed: already_processed.append('rot') self.rot = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'attribute': obj_ = attribute.factory() obj_.build(child_) self.attribute.append(obj_) elif nodeName_ == 'variant': obj_ = variant.factory() obj_.build(child_) self.variant.append(obj_) # end class element class via(GeneratedsSuper): subclass = None superclass = None def __init__(self, diameter=None, extent=None, shape=None, alwaysstop=None, drill=None, y=None, x=None): self.diameter = _cast(None, diameter) self.extent = _cast(None, extent) self.shape = _cast(None, shape) self.alwaysstop = _cast(None, alwaysstop) self.drill = _cast(None, drill) self.y = _cast(None, y) self.x = _cast(None, x) pass def factory(*args_, **kwargs_): if via.subclass: return via.subclass(*args_, **kwargs_) else: return via(*args_, **kwargs_) factory = staticmethod(factory) def get_diameter(self): return self.diameter def set_diameter(self, diameter): self.diameter = diameter def get_extent(self): return self.extent def set_extent(self, extent): self.extent = extent def get_shape(self): return self.shape def set_shape(self, shape): self.shape = shape def get_alwaysstop(self): return self.alwaysstop def set_alwaysstop(self, alwaysstop): self.alwaysstop = alwaysstop def get_drill(self): return self.drill def set_drill(self, drill): self.drill = drill def get_y(self): return self.y def set_y(self, y): self.y = y def get_x(self): return self.x def set_x(self, x): self.x = x def export(self, outfile, level, namespace_='t:', name_='via', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='via') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='via'): if self.diameter is not None and 'diameter' not in already_processed: already_processed.append('diameter') outfile.write(' diameter=%s' % (self.gds_format_string(quote_attrib(self.diameter).encode(ExternalEncoding), input_name='diameter'), )) if self.extent is not None and 'extent' not in already_processed: already_processed.append('extent') outfile.write(' extent=%s' % (self.gds_format_string(quote_attrib(self.extent).encode(ExternalEncoding), input_name='extent'), )) if self.shape is not None and 'shape' not in already_processed: already_processed.append('shape') outfile.write(' shape=%s' % (self.gds_format_string(quote_attrib(self.shape).encode(ExternalEncoding), input_name='shape'), )) if self.alwaysstop is not None and 'alwaysstop' not in already_processed: already_processed.append('alwaysstop') outfile.write(' alwaysstop=%s' % (self.gds_format_string(quote_attrib(self.alwaysstop).encode(ExternalEncoding), input_name='alwaysstop'), )) if self.drill is not None and 'drill' not in already_processed: already_processed.append('drill') outfile.write(' drill=%s' % (self.gds_format_string(quote_attrib(self.drill).encode(ExternalEncoding), input_name='drill'), )) if self.y is not None and 'y' not in already_processed: already_processed.append('y') outfile.write(' y=%s' % (self.gds_format_string(quote_attrib(self.y).encode(ExternalEncoding), input_name='y'), )) if self.x is not None and 'x' not in already_processed: already_processed.append('x') outfile.write(' x=%s' % (self.gds_format_string(quote_attrib(self.x).encode(ExternalEncoding), input_name='x'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='via', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='via'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.diameter is not None and 'diameter' not in already_processed: already_processed.append('diameter') showIndent(outfile, level) outfile.write('diameter = "%s",\n' % (self.diameter,)) if self.extent is not None and 'extent' not in already_processed: already_processed.append('extent') showIndent(outfile, level) outfile.write('extent = "%s",\n' % (self.extent,)) if self.shape is not None and 'shape' not in already_processed: already_processed.append('shape') showIndent(outfile, level) outfile.write('shape = "%s",\n' % (self.shape,)) if self.alwaysstop is not None and 'alwaysstop' not in already_processed: already_processed.append('alwaysstop') showIndent(outfile, level) outfile.write('alwaysstop = "%s",\n' % (self.alwaysstop,)) if self.drill is not None and 'drill' not in already_processed: already_processed.append('drill') showIndent(outfile, level) outfile.write('drill = "%s",\n' % (self.drill,)) if self.y is not None and 'y' not in already_processed: already_processed.append('y') showIndent(outfile, level) outfile.write('y = "%s",\n' % (self.y,)) if self.x is not None and 'x' not in already_processed: already_processed.append('x') showIndent(outfile, level) outfile.write('x = "%s",\n' % (self.x,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('diameter', node) if value is not None and 'diameter' not in already_processed: already_processed.append('diameter') self.diameter = value value = find_attr_value_('extent', node) if value is not None and 'extent' not in already_processed: already_processed.append('extent') self.extent = value value = find_attr_value_('shape', node) if value is not None and 'shape' not in already_processed: already_processed.append('shape') self.shape = value value = find_attr_value_('alwaysstop', node) if value is not None and 'alwaysstop' not in already_processed: already_processed.append('alwaysstop') self.alwaysstop = value value = find_attr_value_('drill', node) if value is not None and 'drill' not in already_processed: already_processed.append('drill') self.drill = value value = find_attr_value_('y', node) if value is not None and 'y' not in already_processed: already_processed.append('y') self.y = value value = find_attr_value_('x', node) if value is not None and 'x' not in already_processed: already_processed.append('x') self.x = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class via class polygon(GeneratedsSuper): subclass = None superclass = None def __init__(self, layer=None, thermals=None, spacing=None, orphans=None, isolate=None, pour=None, width=None, rank=None, vertex=None): self.layer = _cast(None, layer) self.thermals = _cast(None, thermals) self.spacing = _cast(None, spacing) self.orphans = _cast(None, orphans) self.isolate = _cast(None, isolate) self.pour = _cast(None, pour) self.width = _cast(None, width) self.rank = _cast(None, rank) self.vertex = vertex def factory(*args_, **kwargs_): if polygon.subclass: return polygon.subclass(*args_, **kwargs_) else: return polygon(*args_, **kwargs_) factory = staticmethod(factory) def get_vertex(self): return self.vertex def set_vertex(self, vertex): self.vertex = vertex def get_layer(self): return self.layer def set_layer(self, layer): self.layer = layer def get_thermals(self): return self.thermals def set_thermals(self, thermals): self.thermals = thermals def get_spacing(self): return self.spacing def set_spacing(self, spacing): self.spacing = spacing def get_orphans(self): return self.orphans def set_orphans(self, orphans): self.orphans = orphans def get_isolate(self): return self.isolate def set_isolate(self, isolate): self.isolate = isolate def get_pour(self): return self.pour def set_pour(self, pour): self.pour = pour def get_width(self): return self.width def set_width(self, width): self.width = width def get_rank(self): return self.rank def set_rank(self, rank): self.rank = rank def export(self, outfile, level, namespace_='t:', name_='polygon', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='polygon') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='polygon'): if self.layer is not None and 'layer' not in already_processed: already_processed.append('layer') outfile.write(' layer=%s' % (self.gds_format_string(quote_attrib(self.layer).encode(ExternalEncoding), input_name='layer'), )) if self.thermals is not None and 'thermals' not in already_processed: already_processed.append('thermals') outfile.write(' thermals=%s' % (self.gds_format_string(quote_attrib(self.thermals).encode(ExternalEncoding), input_name='thermals'), )) if self.spacing is not None and 'spacing' not in already_processed: already_processed.append('spacing') outfile.write(' spacing=%s' % (self.gds_format_string(quote_attrib(self.spacing).encode(ExternalEncoding), input_name='spacing'), )) if self.orphans is not None and 'orphans' not in already_processed: already_processed.append('orphans') outfile.write(' orphans=%s' % (self.gds_format_string(quote_attrib(self.orphans).encode(ExternalEncoding), input_name='orphans'), )) if self.isolate is not None and 'isolate' not in already_processed: already_processed.append('isolate') outfile.write(' isolate=%s' % (self.gds_format_string(quote_attrib(self.isolate).encode(ExternalEncoding), input_name='isolate'), )) if self.pour is not None and 'pour' not in already_processed: already_processed.append('pour') outfile.write(' pour=%s' % (self.gds_format_string(quote_attrib(self.pour).encode(ExternalEncoding), input_name='pour'), )) if self.width is not None and 'width' not in already_processed: already_processed.append('width') outfile.write(' width=%s' % (self.gds_format_string(quote_attrib(self.width).encode(ExternalEncoding), input_name='width'), )) if self.rank is not None and 'rank' not in already_processed: already_processed.append('rank') outfile.write(' rank=%s' % (self.gds_format_string(quote_attrib(self.rank).encode(ExternalEncoding), input_name='rank'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='polygon', fromsubclass_=False): if self.vertex is not None: self.vertex.export(outfile, level, namespace_, name_='vertex', ) def hasContent_(self): if ( self.vertex is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='polygon'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.layer is not None and 'layer' not in already_processed: already_processed.append('layer') showIndent(outfile, level) outfile.write('layer = "%s",\n' % (self.layer,)) if self.thermals is not None and 'thermals' not in already_processed: already_processed.append('thermals') showIndent(outfile, level) outfile.write('thermals = "%s",\n' % (self.thermals,)) if self.spacing is not None and 'spacing' not in already_processed: already_processed.append('spacing') showIndent(outfile, level) outfile.write('spacing = "%s",\n' % (self.spacing,)) if self.orphans is not None and 'orphans' not in already_processed: already_processed.append('orphans') showIndent(outfile, level) outfile.write('orphans = "%s",\n' % (self.orphans,)) if self.isolate is not None and 'isolate' not in already_processed: already_processed.append('isolate') showIndent(outfile, level) outfile.write('isolate = "%s",\n' % (self.isolate,)) if self.pour is not None and 'pour' not in already_processed: already_processed.append('pour') showIndent(outfile, level) outfile.write('pour = "%s",\n' % (self.pour,)) if self.width is not None and 'width' not in already_processed: already_processed.append('width') showIndent(outfile, level) outfile.write('width = "%s",\n' % (self.width,)) if self.rank is not None and 'rank' not in already_processed: already_processed.append('rank') showIndent(outfile, level) outfile.write('rank = "%s",\n' % (self.rank,)) def exportLiteralChildren(self, outfile, level, name_): if self.vertex is not None: showIndent(outfile, level) outfile.write('vertex=model_.vertex(\n') self.vertex.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('layer', node) if value is not None and 'layer' not in already_processed: already_processed.append('layer') self.layer = value value = find_attr_value_('thermals', node) if value is not None and 'thermals' not in already_processed: already_processed.append('thermals') self.thermals = value value = find_attr_value_('spacing', node) if value is not None and 'spacing' not in already_processed: already_processed.append('spacing') self.spacing = value value = find_attr_value_('orphans', node) if value is not None and 'orphans' not in already_processed: already_processed.append('orphans') self.orphans = value value = find_attr_value_('isolate', node) if value is not None and 'isolate' not in already_processed: already_processed.append('isolate') self.isolate = value value = find_attr_value_('pour', node) if value is not None and 'pour' not in already_processed: already_processed.append('pour') self.pour = value value = find_attr_value_('width', node) if value is not None and 'width' not in already_processed: already_processed.append('width') self.width = value value = find_attr_value_('rank', node) if value is not None and 'rank' not in already_processed: already_processed.append('rank') self.rank = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'vertex': obj_ = vertex.factory() obj_.build(child_) self.set_vertex(obj_) # end class polygon class vertex(GeneratedsSuper): subclass = None superclass = None def __init__(self, y=None, x=None, curve=None): self.y = _cast(None, y) self.x = _cast(None, x) self.curve = _cast(None, curve) pass def factory(*args_, **kwargs_): if vertex.subclass: return vertex.subclass(*args_, **kwargs_) else: return vertex(*args_, **kwargs_) factory = staticmethod(factory) def get_y(self): return self.y def set_y(self, y): self.y = y def get_x(self): return self.x def set_x(self, x): self.x = x def get_curve(self): return self.curve def set_curve(self, curve): self.curve = curve def export(self, outfile, level, namespace_='t:', name_='vertex', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='vertex') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='vertex'): if self.y is not None and 'y' not in already_processed: already_processed.append('y') outfile.write(' y=%s' % (self.gds_format_string(quote_attrib(self.y).encode(ExternalEncoding), input_name='y'), )) if self.x is not None and 'x' not in already_processed: already_processed.append('x') outfile.write(' x=%s' % (self.gds_format_string(quote_attrib(self.x).encode(ExternalEncoding), input_name='x'), )) if self.curve is not None and 'curve' not in already_processed: already_processed.append('curve') outfile.write(' curve=%s' % (self.gds_format_string(quote_attrib(self.curve).encode(ExternalEncoding), input_name='curve'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='vertex', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='vertex'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.y is not None and 'y' not in already_processed: already_processed.append('y') showIndent(outfile, level) outfile.write('y = "%s",\n' % (self.y,)) if self.x is not None and 'x' not in already_processed: already_processed.append('x') showIndent(outfile, level) outfile.write('x = "%s",\n' % (self.x,)) if self.curve is not None and 'curve' not in already_processed: already_processed.append('curve') showIndent(outfile, level) outfile.write('curve = "%s",\n' % (self.curve,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('y', node) if value is not None and 'y' not in already_processed: already_processed.append('y') self.y = value value = find_attr_value_('x', node) if value is not None and 'x' not in already_processed: already_processed.append('x') self.x = value value = find_attr_value_('curve', node) if value is not None and 'curve' not in already_processed: already_processed.append('curve') self.curve = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class vertex class pin(GeneratedsSuper): subclass = None superclass = None def __init__(self, function=None, direction=None, name=None, visible=None, length=None, y=None, x=None, rot=None, swaplevel=None): self.function = _cast(None, function) self.direction = _cast(None, direction) self.name = _cast(None, name) self.visible = _cast(None, visible) self.length = _cast(None, length) self.y = _cast(None, y) self.x = _cast(None, x) self.rot = _cast(None, rot) self.swaplevel = _cast(None, swaplevel) pass def factory(*args_, **kwargs_): if pin.subclass: return pin.subclass(*args_, **kwargs_) else: return pin(*args_, **kwargs_) factory = staticmethod(factory) def get_function(self): return self.function def set_function(self, function): self.function = function def get_direction(self): return self.direction def set_direction(self, direction): self.direction = direction def get_name(self): return self.name def set_name(self, name): self.name = name def get_visible(self): return self.visible def set_visible(self, visible): self.visible = visible def get_length(self): return self.length def set_length(self, length): self.length = length def get_y(self): return self.y def set_y(self, y): self.y = y def get_x(self): return self.x def set_x(self, x): self.x = x def get_rot(self): return self.rot def set_rot(self, rot): self.rot = rot def get_swaplevel(self): return self.swaplevel def set_swaplevel(self, swaplevel): self.swaplevel = swaplevel def export(self, outfile, level, namespace_='t:', name_='pin', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='pin') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='pin'): if self.function is not None and 'function' not in already_processed: already_processed.append('function') outfile.write(' function=%s' % (self.gds_format_string(quote_attrib(self.function).encode(ExternalEncoding), input_name='function'), )) if self.direction is not None and 'direction' not in already_processed: already_processed.append('direction') outfile.write(' direction=%s' % (self.gds_format_string(quote_attrib(self.direction).encode(ExternalEncoding), input_name='direction'), )) if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) if self.visible is not None and 'visible' not in already_processed: already_processed.append('visible') outfile.write(' visible=%s' % (self.gds_format_string(quote_attrib(self.visible).encode(ExternalEncoding), input_name='visible'), )) if self.length is not None and 'length' not in already_processed: already_processed.append('length') outfile.write(' length=%s' % (self.gds_format_string(quote_attrib(self.length).encode(ExternalEncoding), input_name='length'), )) if self.y is not None and 'y' not in already_processed: already_processed.append('y') outfile.write(' y=%s' % (self.gds_format_string(quote_attrib(self.y).encode(ExternalEncoding), input_name='y'), )) if self.x is not None and 'x' not in already_processed: already_processed.append('x') outfile.write(' x=%s' % (self.gds_format_string(quote_attrib(self.x).encode(ExternalEncoding), input_name='x'), )) if self.rot is not None and 'rot' not in already_processed: already_processed.append('rot') outfile.write(' rot=%s' % (self.gds_format_string(quote_attrib(self.rot).encode(ExternalEncoding), input_name='rot'), )) if self.swaplevel is not None and 'swaplevel' not in already_processed: already_processed.append('swaplevel') outfile.write(' swaplevel=%s' % (self.gds_format_string(quote_attrib(self.swaplevel).encode(ExternalEncoding), input_name='swaplevel'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='pin', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='pin'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.function is not None and 'function' not in already_processed: already_processed.append('function') showIndent(outfile, level) outfile.write('function = "%s",\n' % (self.function,)) if self.direction is not None and 'direction' not in already_processed: already_processed.append('direction') showIndent(outfile, level) outfile.write('direction = "%s",\n' % (self.direction,)) if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) if self.visible is not None and 'visible' not in already_processed: already_processed.append('visible') showIndent(outfile, level) outfile.write('visible = "%s",\n' % (self.visible,)) if self.length is not None and 'length' not in already_processed: already_processed.append('length') showIndent(outfile, level) outfile.write('length = "%s",\n' % (self.length,)) if self.y is not None and 'y' not in already_processed: already_processed.append('y') showIndent(outfile, level) outfile.write('y = "%s",\n' % (self.y,)) if self.x is not None and 'x' not in already_processed: already_processed.append('x') showIndent(outfile, level) outfile.write('x = "%s",\n' % (self.x,)) if self.rot is not None and 'rot' not in already_processed: already_processed.append('rot') showIndent(outfile, level) outfile.write('rot = "%s",\n' % (self.rot,)) if self.swaplevel is not None and 'swaplevel' not in already_processed: already_processed.append('swaplevel') showIndent(outfile, level) outfile.write('swaplevel = "%s",\n' % (self.swaplevel,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('function', node) if value is not None and 'function' not in already_processed: already_processed.append('function') self.function = value value = find_attr_value_('direction', node) if value is not None and 'direction' not in already_processed: already_processed.append('direction') self.direction = value value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value value = find_attr_value_('visible', node) if value is not None and 'visible' not in already_processed: already_processed.append('visible') self.visible = value value = find_attr_value_('length', node) if value is not None and 'length' not in already_processed: already_processed.append('length') self.length = value value = find_attr_value_('y', node) if value is not None and 'y' not in already_processed: already_processed.append('y') self.y = value value = find_attr_value_('x', node) if value is not None and 'x' not in already_processed: already_processed.append('x') self.x = value value = find_attr_value_('rot', node) if value is not None and 'rot' not in already_processed: already_processed.append('rot') self.rot = value value = find_attr_value_('swaplevel', node) if value is not None and 'swaplevel' not in already_processed: already_processed.append('swaplevel') self.swaplevel = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class pin class part(GeneratedsSuper): subclass = None superclass = None def __init__(self, name=None, deviceset=None, value=None, library=None, device=None, technology=None, attribute=None, variant=None): self.name = _cast(None, name) self.deviceset = _cast(None, deviceset) self.value = _cast(None, value) self.library = _cast(None, library) self.device = _cast(None, device) self.technology = _cast(None, technology) if attribute is None: self.attribute = [] else: self.attribute = attribute if variant is None: self.variant = [] else: self.variant = variant def factory(*args_, **kwargs_): if part.subclass: return part.subclass(*args_, **kwargs_) else: return part(*args_, **kwargs_) factory = staticmethod(factory) def get_attribute(self): return self.attribute def set_attribute(self, attribute): self.attribute = attribute def add_attribute(self, value): self.attribute.append(value) def insert_attribute(self, index, value): self.attribute[index] = value def get_variant(self): return self.variant def set_variant(self, variant): self.variant = variant def add_variant(self, value): self.variant.append(value) def insert_variant(self, index, value): self.variant[index] = value def get_name(self): return self.name def set_name(self, name): self.name = name def get_deviceset(self): return self.deviceset def set_deviceset(self, deviceset): self.deviceset = deviceset def get_value(self): return self.value def set_value(self, value): self.value = value def get_library(self): return self.library def set_library(self, library): self.library = library def get_device(self): return self.device def set_device(self, device): self.device = device def get_technology(self): return self.technology def set_technology(self, technology): self.technology = technology def export(self, outfile, level, namespace_='t:', name_='part', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='part') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='part'): if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) if self.deviceset is not None and 'deviceset' not in already_processed: already_processed.append('deviceset') outfile.write(' deviceset=%s' % (self.gds_format_string(quote_attrib(self.deviceset).encode(ExternalEncoding), input_name='deviceset'), )) if self.value is not None and 'value' not in already_processed: already_processed.append('value') outfile.write(' value=%s' % (self.gds_format_string(quote_attrib(self.value).encode(ExternalEncoding), input_name='value'), )) if self.library is not None and 'library' not in already_processed: already_processed.append('library') outfile.write(' library=%s' % (self.gds_format_string(quote_attrib(self.library).encode(ExternalEncoding), input_name='library'), )) if self.device is not None and 'device' not in already_processed: already_processed.append('device') outfile.write(' device=%s' % (self.gds_format_string(quote_attrib(self.device).encode(ExternalEncoding), input_name='device'), )) if self.technology is not None and 'technology' not in already_processed: already_processed.append('technology') outfile.write(' technology=%s' % (self.gds_format_string(quote_attrib(self.technology).encode(ExternalEncoding), input_name='technology'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='part', fromsubclass_=False): for attribute_ in self.attribute: attribute_.export(outfile, level, namespace_, name_='attribute') for variant_ in self.variant: variant_.export(outfile, level, namespace_, name_='variant') def hasContent_(self): if ( self.attribute or self.variant ): return True else: return False def exportLiteral(self, outfile, level, name_='part'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) if self.deviceset is not None and 'deviceset' not in already_processed: already_processed.append('deviceset') showIndent(outfile, level) outfile.write('deviceset = "%s",\n' % (self.deviceset,)) if self.value is not None and 'value' not in already_processed: already_processed.append('value') showIndent(outfile, level) outfile.write('value = "%s",\n' % (self.value,)) if self.library is not None and 'library' not in already_processed: already_processed.append('library') showIndent(outfile, level) outfile.write('library = "%s",\n' % (self.library,)) if self.device is not None and 'device' not in already_processed: already_processed.append('device') showIndent(outfile, level) outfile.write('device = "%s",\n' % (self.device,)) if self.technology is not None and 'technology' not in already_processed: already_processed.append('technology') showIndent(outfile, level) outfile.write('technology = "%s",\n' % (self.technology,)) def exportLiteralChildren(self, outfile, level, name_): showIndent(outfile, level) outfile.write('attribute=[\n') level += 1 for attribute_ in self.attribute: showIndent(outfile, level) outfile.write('model_.attribute(\n') attribute_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('variant=[\n') level += 1 for variant_ in self.variant: showIndent(outfile, level) outfile.write('model_.variant(\n') variant_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value value = find_attr_value_('deviceset', node) if value is not None and 'deviceset' not in already_processed: already_processed.append('deviceset') self.deviceset = value value = find_attr_value_('value', node) if value is not None and 'value' not in already_processed: already_processed.append('value') self.value = value value = find_attr_value_('library', node) if value is not None and 'library' not in already_processed: already_processed.append('library') self.library = value value = find_attr_value_('device', node) if value is not None and 'device' not in already_processed: already_processed.append('device') self.device = value value = find_attr_value_('technology', node) if value is not None and 'technology' not in already_processed: already_processed.append('technology') self.technology = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'attribute': obj_ = attribute.factory() obj_.build(child_) self.attribute.append(obj_) elif nodeName_ == 'variant': obj_ = variant.factory() obj_.build(child_) self.variant.append(obj_) # end class part class instance(GeneratedsSuper): subclass = None superclass = None def __init__(self, smashed=None, part=None, x=None, y=None, gate=None, rot=None, attribute=None): self.smashed = _cast(None, smashed) self.part = _cast(None, part) self.x = _cast(None, x) self.y = _cast(None, y) self.gate = _cast(None, gate) self.rot = _cast(None, rot) self.attribute = attribute def factory(*args_, **kwargs_): if instance.subclass: return instance.subclass(*args_, **kwargs_) else: return instance(*args_, **kwargs_) factory = staticmethod(factory) def get_attribute(self): return self.attribute def set_attribute(self, attribute): self.attribute = attribute def get_smashed(self): return self.smashed def set_smashed(self, smashed): self.smashed = smashed def get_part(self): return self.part def set_part(self, part): self.part = part def get_x(self): return self.x def set_x(self, x): self.x = x def get_y(self): return self.y def set_y(self, y): self.y = y def get_gate(self): return self.gate def set_gate(self, gate): self.gate = gate def get_rot(self): return self.rot def set_rot(self, rot): self.rot = rot def export(self, outfile, level, namespace_='t:', name_='instance', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='instance') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='instance'): if self.smashed is not None and 'smashed' not in already_processed: already_processed.append('smashed') outfile.write(' smashed=%s' % (self.gds_format_string(quote_attrib(self.smashed).encode(ExternalEncoding), input_name='smashed'), )) if self.part is not None and 'part' not in already_processed: already_processed.append('part') outfile.write(' part=%s' % (self.gds_format_string(quote_attrib(self.part).encode(ExternalEncoding), input_name='part'), )) if self.x is not None and 'x' not in already_processed: already_processed.append('x') outfile.write(' x=%s' % (self.gds_format_string(quote_attrib(self.x).encode(ExternalEncoding), input_name='x'), )) if self.y is not None and 'y' not in already_processed: already_processed.append('y') outfile.write(' y=%s' % (self.gds_format_string(quote_attrib(self.y).encode(ExternalEncoding), input_name='y'), )) if self.gate is not None and 'gate' not in already_processed: already_processed.append('gate') outfile.write(' gate=%s' % (self.gds_format_string(quote_attrib(self.gate).encode(ExternalEncoding), input_name='gate'), )) if self.rot is not None and 'rot' not in already_processed: already_processed.append('rot') outfile.write(' rot=%s' % (self.gds_format_string(quote_attrib(self.rot).encode(ExternalEncoding), input_name='rot'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='instance', fromsubclass_=False): if self.attribute is not None: self.attribute.export(outfile, level, namespace_, name_='attribute', ) def hasContent_(self): if ( self.attribute is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='instance'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.smashed is not None and 'smashed' not in already_processed: already_processed.append('smashed') showIndent(outfile, level) outfile.write('smashed = "%s",\n' % (self.smashed,)) if self.part is not None and 'part' not in already_processed: already_processed.append('part') showIndent(outfile, level) outfile.write('part = "%s",\n' % (self.part,)) if self.x is not None and 'x' not in already_processed: already_processed.append('x') showIndent(outfile, level) outfile.write('x = "%s",\n' % (self.x,)) if self.y is not None and 'y' not in already_processed: already_processed.append('y') showIndent(outfile, level) outfile.write('y = "%s",\n' % (self.y,)) if self.gate is not None and 'gate' not in already_processed: already_processed.append('gate') showIndent(outfile, level) outfile.write('gate = "%s",\n' % (self.gate,)) if self.rot is not None and 'rot' not in already_processed: already_processed.append('rot') showIndent(outfile, level) outfile.write('rot = "%s",\n' % (self.rot,)) def exportLiteralChildren(self, outfile, level, name_): if self.attribute is not None: showIndent(outfile, level) outfile.write('attribute=model_.attribute(\n') self.attribute.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('smashed', node) if value is not None and 'smashed' not in already_processed: already_processed.append('smashed') self.smashed = value value = find_attr_value_('part', node) if value is not None and 'part' not in already_processed: already_processed.append('part') self.part = value value = find_attr_value_('x', node) if value is not None and 'x' not in already_processed: already_processed.append('x') self.x = value value = find_attr_value_('y', node) if value is not None and 'y' not in already_processed: already_processed.append('y') self.y = value value = find_attr_value_('gate', node) if value is not None and 'gate' not in already_processed: already_processed.append('gate') self.gate = value value = find_attr_value_('rot', node) if value is not None and 'rot' not in already_processed: already_processed.append('rot') self.rot = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'attribute': obj_ = attribute.factory() obj_.build(child_) self.set_attribute(obj_) # end class instance class label(GeneratedsSuper): subclass = None superclass = None def __init__(self, layer=None, xref=None, ratio=None, y=None, x=None, font=None, rot=None, size=None): self.layer = _cast(None, layer) self.xref = _cast(None, xref) self.ratio = _cast(None, ratio) self.y = _cast(None, y) self.x = _cast(None, x) self.font = _cast(None, font) self.rot = _cast(None, rot) self.size = _cast(None, size) pass def factory(*args_, **kwargs_): if label.subclass: return label.subclass(*args_, **kwargs_) else: return label(*args_, **kwargs_) factory = staticmethod(factory) def get_layer(self): return self.layer def set_layer(self, layer): self.layer = layer def get_xref(self): return self.xref def set_xref(self, xref): self.xref = xref def get_ratio(self): return self.ratio def set_ratio(self, ratio): self.ratio = ratio def get_y(self): return self.y def set_y(self, y): self.y = y def get_x(self): return self.x def set_x(self, x): self.x = x def get_font(self): return self.font def set_font(self, font): self.font = font def get_rot(self): return self.rot def set_rot(self, rot): self.rot = rot def get_size(self): return self.size def set_size(self, size): self.size = size def export(self, outfile, level, namespace_='t:', name_='label', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='label') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='label'): if self.layer is not None and 'layer' not in already_processed: already_processed.append('layer') outfile.write(' layer=%s' % (self.gds_format_string(quote_attrib(self.layer).encode(ExternalEncoding), input_name='layer'), )) if self.xref is not None and 'xref' not in already_processed: already_processed.append('xref') outfile.write(' xref=%s' % (self.gds_format_string(quote_attrib(self.xref).encode(ExternalEncoding), input_name='xref'), )) if self.ratio is not None and 'ratio' not in already_processed: already_processed.append('ratio') outfile.write(' ratio=%s' % (self.gds_format_string(quote_attrib(self.ratio).encode(ExternalEncoding), input_name='ratio'), )) if self.y is not None and 'y' not in already_processed: already_processed.append('y') outfile.write(' y=%s' % (self.gds_format_string(quote_attrib(self.y).encode(ExternalEncoding), input_name='y'), )) if self.x is not None and 'x' not in already_processed: already_processed.append('x') outfile.write(' x=%s' % (self.gds_format_string(quote_attrib(self.x).encode(ExternalEncoding), input_name='x'), )) if self.font is not None and 'font' not in already_processed: already_processed.append('font') outfile.write(' font=%s' % (self.gds_format_string(quote_attrib(self.font).encode(ExternalEncoding), input_name='font'), )) if self.rot is not None and 'rot' not in already_processed: already_processed.append('rot') outfile.write(' rot=%s' % (self.gds_format_string(quote_attrib(self.rot).encode(ExternalEncoding), input_name='rot'), )) if self.size is not None and 'size' not in already_processed: already_processed.append('size') outfile.write(' size=%s' % (self.gds_format_string(quote_attrib(self.size).encode(ExternalEncoding), input_name='size'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='label', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='label'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.layer is not None and 'layer' not in already_processed: already_processed.append('layer') showIndent(outfile, level) outfile.write('layer = "%s",\n' % (self.layer,)) if self.xref is not None and 'xref' not in already_processed: already_processed.append('xref') showIndent(outfile, level) outfile.write('xref = "%s",\n' % (self.xref,)) if self.ratio is not None and 'ratio' not in already_processed: already_processed.append('ratio') showIndent(outfile, level) outfile.write('ratio = "%s",\n' % (self.ratio,)) if self.y is not None and 'y' not in already_processed: already_processed.append('y') showIndent(outfile, level) outfile.write('y = "%s",\n' % (self.y,)) if self.x is not None and 'x' not in already_processed: already_processed.append('x') showIndent(outfile, level) outfile.write('x = "%s",\n' % (self.x,)) if self.font is not None and 'font' not in already_processed: already_processed.append('font') showIndent(outfile, level) outfile.write('font = "%s",\n' % (self.font,)) if self.rot is not None and 'rot' not in already_processed: already_processed.append('rot') showIndent(outfile, level) outfile.write('rot = "%s",\n' % (self.rot,)) if self.size is not None and 'size' not in already_processed: already_processed.append('size') showIndent(outfile, level) outfile.write('size = "%s",\n' % (self.size,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('layer', node) if value is not None and 'layer' not in already_processed: already_processed.append('layer') self.layer = value value = find_attr_value_('xref', node) if value is not None and 'xref' not in already_processed: already_processed.append('xref') self.xref = value value = find_attr_value_('ratio', node) if value is not None and 'ratio' not in already_processed: already_processed.append('ratio') self.ratio = value value = find_attr_value_('y', node) if value is not None and 'y' not in already_processed: already_processed.append('y') self.y = value value = find_attr_value_('x', node) if value is not None and 'x' not in already_processed: already_processed.append('x') self.x = value value = find_attr_value_('font', node) if value is not None and 'font' not in already_processed: already_processed.append('font') self.font = value value = find_attr_value_('rot', node) if value is not None and 'rot' not in already_processed: already_processed.append('rot') self.rot = value value = find_attr_value_('size', node) if value is not None and 'size' not in already_processed: already_processed.append('size') self.size = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class label class junction(GeneratedsSuper): subclass = None superclass = None def __init__(self, y=None, x=None): self.y = _cast(None, y) self.x = _cast(None, x) pass def factory(*args_, **kwargs_): if junction.subclass: return junction.subclass(*args_, **kwargs_) else: return junction(*args_, **kwargs_) factory = staticmethod(factory) def get_y(self): return self.y def set_y(self, y): self.y = y def get_x(self): return self.x def set_x(self, x): self.x = x def export(self, outfile, level, namespace_='t:', name_='junction', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='junction') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='junction'): if self.y is not None and 'y' not in already_processed: already_processed.append('y') outfile.write(' y=%s' % (self.gds_format_string(quote_attrib(self.y).encode(ExternalEncoding), input_name='y'), )) if self.x is not None and 'x' not in already_processed: already_processed.append('x') outfile.write(' x=%s' % (self.gds_format_string(quote_attrib(self.x).encode(ExternalEncoding), input_name='x'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='junction', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='junction'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.y is not None and 'y' not in already_processed: already_processed.append('y') showIndent(outfile, level) outfile.write('y = "%s",\n' % (self.y,)) if self.x is not None and 'x' not in already_processed: already_processed.append('x') showIndent(outfile, level) outfile.write('x = "%s",\n' % (self.x,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('y', node) if value is not None and 'y' not in already_processed: already_processed.append('y') self.y = value value = find_attr_value_('x', node) if value is not None and 'x' not in already_processed: already_processed.append('x') self.x = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class junction class connect(GeneratedsSuper): subclass = None superclass = None def __init__(self, gate=None, route=None, pad=None, pin=None): self.gate = _cast(None, gate) self.route = _cast(None, route) self.pad = _cast(None, pad) self.pin = _cast(None, pin) pass def factory(*args_, **kwargs_): if connect.subclass: return connect.subclass(*args_, **kwargs_) else: return connect(*args_, **kwargs_) factory = staticmethod(factory) def get_gate(self): return self.gate def set_gate(self, gate): self.gate = gate def get_route(self): return self.route def set_route(self, route): self.route = route def get_pad(self): return self.pad def set_pad(self, pad): self.pad = pad def get_pin(self): return self.pin def set_pin(self, pin): self.pin = pin def export(self, outfile, level, namespace_='t:', name_='connect', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='connect') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='connect'): if self.gate is not None and 'gate' not in already_processed: already_processed.append('gate') outfile.write(' gate=%s' % (self.gds_format_string(quote_attrib(self.gate).encode(ExternalEncoding), input_name='gate'), )) if self.route is not None and 'route' not in already_processed: already_processed.append('route') outfile.write(' route=%s' % (self.gds_format_string(quote_attrib(self.route).encode(ExternalEncoding), input_name='route'), )) if self.pad is not None and 'pad' not in already_processed: already_processed.append('pad') outfile.write(' pad=%s' % (self.gds_format_string(quote_attrib(self.pad).encode(ExternalEncoding), input_name='pad'), )) if self.pin is not None and 'pin' not in already_processed: already_processed.append('pin') outfile.write(' pin=%s' % (self.gds_format_string(quote_attrib(self.pin).encode(ExternalEncoding), input_name='pin'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='connect', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='connect'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.gate is not None and 'gate' not in already_processed: already_processed.append('gate') showIndent(outfile, level) outfile.write('gate = "%s",\n' % (self.gate,)) if self.route is not None and 'route' not in already_processed: already_processed.append('route') showIndent(outfile, level) outfile.write('route = "%s",\n' % (self.route,)) if self.pad is not None and 'pad' not in already_processed: already_processed.append('pad') showIndent(outfile, level) outfile.write('pad = "%s",\n' % (self.pad,)) if self.pin is not None and 'pin' not in already_processed: already_processed.append('pin') showIndent(outfile, level) outfile.write('pin = "%s",\n' % (self.pin,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('gate', node) if value is not None and 'gate' not in already_processed: already_processed.append('gate') self.gate = value value = find_attr_value_('route', node) if value is not None and 'route' not in already_processed: already_processed.append('route') self.route = value value = find_attr_value_('pad', node) if value is not None and 'pad' not in already_processed: already_processed.append('pad') self.pad = value value = find_attr_value_('pin', node) if value is not None and 'pin' not in already_processed: already_processed.append('pin') self.pin = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class connect class technology(GeneratedsSuper): subclass = None superclass = None def __init__(self, name=None, attribute=None): self.name = _cast(None, name) self.attribute = attribute def factory(*args_, **kwargs_): if technology.subclass: return technology.subclass(*args_, **kwargs_) else: return technology(*args_, **kwargs_) factory = staticmethod(factory) def get_attribute(self): return self.attribute def set_attribute(self, attribute): self.attribute = attribute def get_name(self): return self.name def set_name(self, name): self.name = name def export(self, outfile, level, namespace_='t:', name_='technology', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='technology') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='technology'): if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='technology', fromsubclass_=False): if self.attribute is not None: self.attribute.export(outfile, level, namespace_, name_='attribute', ) def hasContent_(self): if ( self.attribute is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='technology'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) def exportLiteralChildren(self, outfile, level, name_): if self.attribute is not None: showIndent(outfile, level) outfile.write('attribute=model_.attribute(\n') self.attribute.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'attribute': obj_ = attribute.factory() obj_.build(child_) self.set_attribute(obj_) # end class technology class attribute(GeneratedsSuper): subclass = None superclass = None def __init__(self, layer=None, ratio=None, name=None, value=None, y=None, x=None, constant=None, font=None, rot=None, display=None, size=None): self.layer = _cast(None, layer) self.ratio = _cast(None, ratio) self.name = _cast(None, name) self.value = _cast(None, value) self.y = _cast(None, y) self.x = _cast(None, x) self.constant = _cast(None, constant) self.font = _cast(None, font) self.rot = _cast(None, rot) self.display = _cast(None, display) self.size = _cast(None, size) pass def factory(*args_, **kwargs_): if attribute.subclass: return attribute.subclass(*args_, **kwargs_) else: return attribute(*args_, **kwargs_) factory = staticmethod(factory) def get_layer(self): return self.layer def set_layer(self, layer): self.layer = layer def get_ratio(self): return self.ratio def set_ratio(self, ratio): self.ratio = ratio def get_name(self): return self.name def set_name(self, name): self.name = name def get_value(self): return self.value def set_value(self, value): self.value = value def get_y(self): return self.y def set_y(self, y): self.y = y def get_x(self): return self.x def set_x(self, x): self.x = x def get_constant(self): return self.constant def set_constant(self, constant): self.constant = constant def get_font(self): return self.font def set_font(self, font): self.font = font def get_rot(self): return self.rot def set_rot(self, rot): self.rot = rot def get_display(self): return self.display def set_display(self, display): self.display = display def get_size(self): return self.size def set_size(self, size): self.size = size def export(self, outfile, level, namespace_='t:', name_='attribute', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='attribute') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='attribute'): if self.layer is not None and 'layer' not in already_processed: already_processed.append('layer') outfile.write(' layer=%s' % (self.gds_format_string(quote_attrib(self.layer).encode(ExternalEncoding), input_name='layer'), )) if self.ratio is not None and 'ratio' not in already_processed: already_processed.append('ratio') outfile.write(' ratio=%s' % (self.gds_format_string(quote_attrib(self.ratio).encode(ExternalEncoding), input_name='ratio'), )) if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) if self.value is not None and 'value' not in already_processed: already_processed.append('value') outfile.write(' value=%s' % (self.gds_format_string(quote_attrib(self.value).encode(ExternalEncoding), input_name='value'), )) if self.y is not None and 'y' not in already_processed: already_processed.append('y') outfile.write(' y=%s' % (self.gds_format_string(quote_attrib(self.y).encode(ExternalEncoding), input_name='y'), )) if self.x is not None and 'x' not in already_processed: already_processed.append('x') outfile.write(' x=%s' % (self.gds_format_string(quote_attrib(self.x).encode(ExternalEncoding), input_name='x'), )) if self.constant is not None and 'constant' not in already_processed: already_processed.append('constant') outfile.write(' constant=%s' % (self.gds_format_string(quote_attrib(self.constant).encode(ExternalEncoding), input_name='constant'), )) if self.font is not None and 'font' not in already_processed: already_processed.append('font') outfile.write(' font=%s' % (self.gds_format_string(quote_attrib(self.font).encode(ExternalEncoding), input_name='font'), )) if self.rot is not None and 'rot' not in already_processed: already_processed.append('rot') outfile.write(' rot=%s' % (self.gds_format_string(quote_attrib(self.rot).encode(ExternalEncoding), input_name='rot'), )) if self.display is not None and 'display' not in already_processed: already_processed.append('display') outfile.write(' display=%s' % (self.gds_format_string(quote_attrib(self.display).encode(ExternalEncoding), input_name='display'), )) if self.size is not None and 'size' not in already_processed: already_processed.append('size') outfile.write(' size=%s' % (self.gds_format_string(quote_attrib(self.size).encode(ExternalEncoding), input_name='size'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='attribute', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='attribute'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.layer is not None and 'layer' not in already_processed: already_processed.append('layer') showIndent(outfile, level) outfile.write('layer = "%s",\n' % (self.layer,)) if self.ratio is not None and 'ratio' not in already_processed: already_processed.append('ratio') showIndent(outfile, level) outfile.write('ratio = "%s",\n' % (self.ratio,)) if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) if self.value is not None and 'value' not in already_processed: already_processed.append('value') showIndent(outfile, level) outfile.write('value = "%s",\n' % (self.value,)) if self.y is not None and 'y' not in already_processed: already_processed.append('y') showIndent(outfile, level) outfile.write('y = "%s",\n' % (self.y,)) if self.x is not None and 'x' not in already_processed: already_processed.append('x') showIndent(outfile, level) outfile.write('x = "%s",\n' % (self.x,)) if self.constant is not None and 'constant' not in already_processed: already_processed.append('constant') showIndent(outfile, level) outfile.write('constant = "%s",\n' % (self.constant,)) if self.font is not None and 'font' not in already_processed: already_processed.append('font') showIndent(outfile, level) outfile.write('font = "%s",\n' % (self.font,)) if self.rot is not None and 'rot' not in already_processed: already_processed.append('rot') showIndent(outfile, level) outfile.write('rot = "%s",\n' % (self.rot,)) if self.display is not None and 'display' not in already_processed: already_processed.append('display') showIndent(outfile, level) outfile.write('display = "%s",\n' % (self.display,)) if self.size is not None and 'size' not in already_processed: already_processed.append('size') showIndent(outfile, level) outfile.write('size = "%s",\n' % (self.size,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('layer', node) if value is not None and 'layer' not in already_processed: already_processed.append('layer') self.layer = value value = find_attr_value_('ratio', node) if value is not None and 'ratio' not in already_processed: already_processed.append('ratio') self.ratio = value value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value value = find_attr_value_('value', node) if value is not None and 'value' not in already_processed: already_processed.append('value') self.value = value value = find_attr_value_('y', node) if value is not None and 'y' not in already_processed: already_processed.append('y') self.y = value value = find_attr_value_('x', node) if value is not None and 'x' not in already_processed: already_processed.append('x') self.x = value value = find_attr_value_('constant', node) if value is not None and 'constant' not in already_processed: already_processed.append('constant') self.constant = value value = find_attr_value_('font', node) if value is not None and 'font' not in already_processed: already_processed.append('font') self.font = value value = find_attr_value_('rot', node) if value is not None and 'rot' not in already_processed: already_processed.append('rot') self.rot = value value = find_attr_value_('display', node) if value is not None and 'display' not in already_processed: already_processed.append('display') self.display = value value = find_attr_value_('size', node) if value is not None and 'size' not in already_processed: already_processed.append('size') self.size = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class attribute class pinref(GeneratedsSuper): subclass = None superclass = None def __init__(self, gate=None, part=None, pin=None): self.gate = _cast(None, gate) self.part = _cast(None, part) self.pin = _cast(None, pin) pass def factory(*args_, **kwargs_): if pinref.subclass: return pinref.subclass(*args_, **kwargs_) else: return pinref(*args_, **kwargs_) factory = staticmethod(factory) def get_gate(self): return self.gate def set_gate(self, gate): self.gate = gate def get_part(self): return self.part def set_part(self, part): self.part = part def get_pin(self): return self.pin def set_pin(self, pin): self.pin = pin def export(self, outfile, level, namespace_='t:', name_='pinref', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='pinref') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='pinref'): if self.gate is not None and 'gate' not in already_processed: already_processed.append('gate') outfile.write(' gate=%s' % (self.gds_format_string(quote_attrib(self.gate).encode(ExternalEncoding), input_name='gate'), )) if self.part is not None and 'part' not in already_processed: already_processed.append('part') outfile.write(' part=%s' % (self.gds_format_string(quote_attrib(self.part).encode(ExternalEncoding), input_name='part'), )) if self.pin is not None and 'pin' not in already_processed: already_processed.append('pin') outfile.write(' pin=%s' % (self.gds_format_string(quote_attrib(self.pin).encode(ExternalEncoding), input_name='pin'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='pinref', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='pinref'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.gate is not None and 'gate' not in already_processed: already_processed.append('gate') showIndent(outfile, level) outfile.write('gate = "%s",\n' % (self.gate,)) if self.part is not None and 'part' not in already_processed: already_processed.append('part') showIndent(outfile, level) outfile.write('part = "%s",\n' % (self.part,)) if self.pin is not None and 'pin' not in already_processed: already_processed.append('pin') showIndent(outfile, level) outfile.write('pin = "%s",\n' % (self.pin,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('gate', node) if value is not None and 'gate' not in already_processed: already_processed.append('gate') self.gate = value value = find_attr_value_('part', node) if value is not None and 'part' not in already_processed: already_processed.append('part') self.part = value value = find_attr_value_('pin', node) if value is not None and 'pin' not in already_processed: already_processed.append('pin') self.pin = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class pinref class contactref(GeneratedsSuper): subclass = None superclass = None def __init__(self, route=None, pad=None, element=None): self.route = _cast(None, route) self.pad = _cast(None, pad) self.element = _cast(None, element) pass def factory(*args_, **kwargs_): if contactref.subclass: return contactref.subclass(*args_, **kwargs_) else: return contactref(*args_, **kwargs_) factory = staticmethod(factory) def get_route(self): return self.route def set_route(self, route): self.route = route def get_pad(self): return self.pad def set_pad(self, pad): self.pad = pad def get_element(self): return self.element def set_element(self, element): self.element = element def export(self, outfile, level, namespace_='t:', name_='contactref', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='contactref') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='contactref'): if self.route is not None and 'route' not in already_processed: already_processed.append('route') outfile.write(' route=%s' % (self.gds_format_string(quote_attrib(self.route).encode(ExternalEncoding), input_name='route'), )) if self.pad is not None and 'pad' not in already_processed: already_processed.append('pad') outfile.write(' pad=%s' % (self.gds_format_string(quote_attrib(self.pad).encode(ExternalEncoding), input_name='pad'), )) if self.element is not None and 'element' not in already_processed: already_processed.append('element') outfile.write(' element=%s' % (self.gds_format_string(quote_attrib(self.element).encode(ExternalEncoding), input_name='element'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='contactref', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='contactref'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.route is not None and 'route' not in already_processed: already_processed.append('route') showIndent(outfile, level) outfile.write('route = "%s",\n' % (self.route,)) if self.pad is not None and 'pad' not in already_processed: already_processed.append('pad') showIndent(outfile, level) outfile.write('pad = "%s",\n' % (self.pad,)) if self.element is not None and 'element' not in already_processed: already_processed.append('element') showIndent(outfile, level) outfile.write('element = "%s",\n' % (self.element,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('route', node) if value is not None and 'route' not in already_processed: already_processed.append('route') self.route = value value = find_attr_value_('pad', node) if value is not None and 'pad' not in already_processed: already_processed.append('pad') self.pad = value value = find_attr_value_('element', node) if value is not None and 'element' not in already_processed: already_processed.append('element') self.element = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class contactref class variantdefs(GeneratedsSuper): subclass = None superclass = None def __init__(self, variantdef=None): self.variantdef = variantdef def factory(*args_, **kwargs_): if variantdefs.subclass: return variantdefs.subclass(*args_, **kwargs_) else: return variantdefs(*args_, **kwargs_) factory = staticmethod(factory) def get_variantdef(self): return self.variantdef def set_variantdef(self, variantdef): self.variantdef = variantdef def export(self, outfile, level, namespace_='t:', name_='variantdefs', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='variantdefs') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='variantdefs'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='variantdefs', fromsubclass_=False): if self.variantdef is not None: self.variantdef.export(outfile, level, namespace_, name_='variantdef', ) def hasContent_(self): if ( self.variantdef is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='variantdefs'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.variantdef is not None: showIndent(outfile, level) outfile.write('variantdef=model_.variantdef(\n') self.variantdef.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'variantdef': obj_ = variantdef.factory() obj_.build(child_) self.set_variantdef(obj_) # end class variantdefs class settings(GeneratedsSuper): subclass = None superclass = None def __init__(self, setting=None): self.setting = setting def factory(*args_, **kwargs_): if settings.subclass: return settings.subclass(*args_, **kwargs_) else: return settings(*args_, **kwargs_) factory = staticmethod(factory) def get_setting(self): return self.setting def set_setting(self, setting): self.setting = setting def export(self, outfile, level, namespace_='t:', name_='settings', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='settings') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='settings'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='settings', fromsubclass_=False): if self.setting is not None: self.setting.export(outfile, level, namespace_, name_='setting', ) def hasContent_(self): if ( self.setting is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='settings'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.setting is not None: showIndent(outfile, level) outfile.write('setting=model_.setting(\n') self.setting.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'setting': obj_ = setting.factory() obj_.build(child_) self.set_setting(obj_) # end class settings class sheets(GeneratedsSuper): subclass = None superclass = None def __init__(self, sheet=None): self.sheet = sheet def factory(*args_, **kwargs_): if sheets.subclass: return sheets.subclass(*args_, **kwargs_) else: return sheets(*args_, **kwargs_) factory = staticmethod(factory) def get_sheet(self): return self.sheet def set_sheet(self, sheet): self.sheet = sheet def export(self, outfile, level, namespace_='t:', name_='sheets', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='sheets') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='sheets'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='sheets', fromsubclass_=False): if self.sheet is not None: self.sheet.export(outfile, level, namespace_, name_='sheet', ) def hasContent_(self): if ( self.sheet is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='sheets'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.sheet is not None: showIndent(outfile, level) outfile.write('sheet=model_.sheet(\n') self.sheet.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'sheet': obj_ = sheet.factory() obj_.build(child_) self.set_sheet(obj_) # end class sheets class layers(GeneratedsSuper): subclass = None superclass = None def __init__(self, layer=None): self.layer = layer def factory(*args_, **kwargs_): if layers.subclass: return layers.subclass(*args_, **kwargs_) else: return layers(*args_, **kwargs_) factory = staticmethod(factory) def get_layer(self): return self.layer def set_layer(self, layer): self.layer = layer def export(self, outfile, level, namespace_='t:', name_='layers', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='layers') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='layers'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='layers', fromsubclass_=False): if self.layer is not None: self.layer.export(outfile, level, namespace_, name_='layer', ) def hasContent_(self): if ( self.layer is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='layers'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.layer is not None: showIndent(outfile, level) outfile.write('layer=model_.layer(\n') self.layer.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'layer': obj_ = layer.factory() obj_.build(child_) self.set_layer(obj_) # end class layers class packages(GeneratedsSuper): subclass = None superclass = None def __init__(self, package=None): self.package = package def factory(*args_, **kwargs_): if packages.subclass: return packages.subclass(*args_, **kwargs_) else: return packages(*args_, **kwargs_) factory = staticmethod(factory) def get_package(self): return self.package def set_package(self, package): self.package = package def export(self, outfile, level, namespace_='t:', name_='packages', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='packages') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='packages'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='packages', fromsubclass_=False): if self.package is not None: self.package.export(outfile, level, namespace_, name_='package', ) def hasContent_(self): if ( self.package is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='packages'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.package is not None: showIndent(outfile, level) outfile.write('package=model_.package(\n') self.package.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'package': obj_ = package.factory() obj_.build(child_) self.set_package(obj_) # end class packages class symbols(GeneratedsSuper): subclass = None superclass = None def __init__(self, symbol=None): self.symbol = symbol def factory(*args_, **kwargs_): if symbols.subclass: return symbols.subclass(*args_, **kwargs_) else: return symbols(*args_, **kwargs_) factory = staticmethod(factory) def get_symbol(self): return self.symbol def set_symbol(self, symbol): self.symbol = symbol def export(self, outfile, level, namespace_='t:', name_='symbols', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='symbols') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='symbols'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='symbols', fromsubclass_=False): if self.symbol is not None: self.symbol.export(outfile, level, namespace_, name_='symbol', ) def hasContent_(self): if ( self.symbol is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='symbols'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.symbol is not None: showIndent(outfile, level) outfile.write('symbol=model_.symbol(\n') self.symbol.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'symbol': obj_ = symbol.factory() obj_.build(child_) self.set_symbol(obj_) # end class symbols class devicesets(GeneratedsSuper): subclass = None superclass = None def __init__(self, deviceset=None): self.deviceset = deviceset def factory(*args_, **kwargs_): if devicesets.subclass: return devicesets.subclass(*args_, **kwargs_) else: return devicesets(*args_, **kwargs_) factory = staticmethod(factory) def get_deviceset(self): return self.deviceset def set_deviceset(self, deviceset): self.deviceset = deviceset def export(self, outfile, level, namespace_='t:', name_='devicesets', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='devicesets') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='devicesets'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='devicesets', fromsubclass_=False): if self.deviceset is not None: self.deviceset.export(outfile, level, namespace_, name_='deviceset', ) def hasContent_(self): if ( self.deviceset is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='devicesets'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.deviceset is not None: showIndent(outfile, level) outfile.write('deviceset=model_.deviceset(\n') self.deviceset.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'deviceset': obj_ = deviceset.factory() obj_.build(child_) self.set_deviceset(obj_) # end class devicesets class gates(GeneratedsSuper): subclass = None superclass = None def __init__(self, gate=None): self.gate = gate def factory(*args_, **kwargs_): if gates.subclass: return gates.subclass(*args_, **kwargs_) else: return gates(*args_, **kwargs_) factory = staticmethod(factory) def get_gate(self): return self.gate def set_gate(self, gate): self.gate = gate def export(self, outfile, level, namespace_='t:', name_='gates', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='gates') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='gates'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='gates', fromsubclass_=False): if self.gate is not None: self.gate.export(outfile, level, namespace_, name_='gate', ) def hasContent_(self): if ( self.gate is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='gates'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.gate is not None: showIndent(outfile, level) outfile.write('gate=model_.gate(\n') self.gate.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'gate': obj_ = gate.factory() obj_.build(child_) self.set_gate(obj_) # end class gates class devices(GeneratedsSuper): subclass = None superclass = None def __init__(self, device=None): self.device = device def factory(*args_, **kwargs_): if devices.subclass: return devices.subclass(*args_, **kwargs_) else: return devices(*args_, **kwargs_) factory = staticmethod(factory) def get_device(self): return self.device def set_device(self, device): self.device = device def export(self, outfile, level, namespace_='t:', name_='devices', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='devices') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='devices'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='devices', fromsubclass_=False): if self.device is not None: self.device.export(outfile, level, namespace_, name_='device', ) def hasContent_(self): if ( self.device is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='devices'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.device is not None: showIndent(outfile, level) outfile.write('device=model_.device(\n') self.device.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'device': obj_ = device.factory() obj_.build(child_) self.set_device(obj_) # end class devices class libraries(GeneratedsSuper): subclass = None superclass = None def __init__(self, library=None): self.library = library def factory(*args_, **kwargs_): if libraries.subclass: return libraries.subclass(*args_, **kwargs_) else: return libraries(*args_, **kwargs_) factory = staticmethod(factory) def get_library(self): return self.library def set_library(self, library): self.library = library def export(self, outfile, level, namespace_='t:', name_='libraries', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='libraries') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='libraries'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='libraries', fromsubclass_=False): if self.library is not None: self.library.export(outfile, level, namespace_, name_='library', ) def hasContent_(self): if ( self.library is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='libraries'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.library is not None: showIndent(outfile, level) outfile.write('library=model_.library(\n') self.library.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'library': obj_ = library.factory() obj_.build(child_) self.set_library(obj_) # end class libraries class connects(GeneratedsSuper): subclass = None superclass = None def __init__(self, connect=None): self.connect = connect def factory(*args_, **kwargs_): if connects.subclass: return connects.subclass(*args_, **kwargs_) else: return connects(*args_, **kwargs_) factory = staticmethod(factory) def get_connect(self): return self.connect def set_connect(self, connect): self.connect = connect def export(self, outfile, level, namespace_='t:', name_='connects', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='connects') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='connects'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='connects', fromsubclass_=False): if self.connect is not None: self.connect.export(outfile, level, namespace_, name_='connect', ) def hasContent_(self): if ( self.connect is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='connects'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.connect is not None: showIndent(outfile, level) outfile.write('connect=model_.connect(\n') self.connect.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'connect': obj_ = connect.factory() obj_.build(child_) self.set_connect(obj_) # end class connects class technologies(GeneratedsSuper): subclass = None superclass = None def __init__(self, technology=None): self.technology = technology def factory(*args_, **kwargs_): if technologies.subclass: return technologies.subclass(*args_, **kwargs_) else: return technologies(*args_, **kwargs_) factory = staticmethod(factory) def get_technology(self): return self.technology def set_technology(self, technology): self.technology = technology def export(self, outfile, level, namespace_='t:', name_='technologies', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='technologies') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='technologies'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='technologies', fromsubclass_=False): if self.technology is not None: self.technology.export(outfile, level, namespace_, name_='technology', ) def hasContent_(self): if ( self.technology is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='technologies'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.technology is not None: showIndent(outfile, level) outfile.write('technology=model_.technology(\n') self.technology.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'technology': obj_ = technology.factory() obj_.build(child_) self.set_technology(obj_) # end class technologies class attributes(GeneratedsSuper): subclass = None superclass = None def __init__(self, attribute=None): self.attribute = attribute def factory(*args_, **kwargs_): if attributes.subclass: return attributes.subclass(*args_, **kwargs_) else: return attributes(*args_, **kwargs_) factory = staticmethod(factory) def get_attribute(self): return self.attribute def set_attribute(self, attribute): self.attribute = attribute def export(self, outfile, level, namespace_='t:', name_='attributes', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='attributes') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='attributes'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='attributes', fromsubclass_=False): if self.attribute is not None: self.attribute.export(outfile, level, namespace_, name_='attribute', ) def hasContent_(self): if ( self.attribute is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='attributes'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.attribute is not None: showIndent(outfile, level) outfile.write('attribute=model_.attribute(\n') self.attribute.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'attribute': obj_ = attribute.factory() obj_.build(child_) self.set_attribute(obj_) # end class attributes class classes(GeneratedsSuper): subclass = None superclass = None def __init__(self, classxx=None): self.classxx = classxx def factory(*args_, **kwargs_): if classes.subclass: return classes.subclass(*args_, **kwargs_) else: return classes(*args_, **kwargs_) factory = staticmethod(factory) def get_class(self): return self.classxx def set_class(self, classxx): self.classxx = classxx def export(self, outfile, level, namespace_='t:', name_='classes', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='classes') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='classes'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='classes', fromsubclass_=False): if self.classxx is not None: self.classxx.export(outfile, level, namespace_, name_='class', ) def hasContent_(self): if ( self.classxx is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='classes'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.classxx is not None: showIndent(outfile, level) outfile.write('classxx=model_.classxx(\n') self.classxx.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'class': obj_ = classxx.factory() obj_.build(child_) self.set_class(obj_) # end class classes class parts(GeneratedsSuper): subclass = None superclass = None def __init__(self, part=None): self.part = part def factory(*args_, **kwargs_): if parts.subclass: return parts.subclass(*args_, **kwargs_) else: return parts(*args_, **kwargs_) factory = staticmethod(factory) def get_part(self): return self.part def set_part(self, part): self.part = part def export(self, outfile, level, namespace_='t:', name_='parts', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='parts') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='parts'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='parts', fromsubclass_=False): if self.part is not None: self.part.export(outfile, level, namespace_, name_='part', ) def hasContent_(self): if ( self.part is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='parts'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.part is not None: showIndent(outfile, level) outfile.write('part=model_.part(\n') self.part.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'part': obj_ = part.factory() obj_.build(child_) self.set_part(obj_) # end class parts class instances(GeneratedsSuper): subclass = None superclass = None def __init__(self, instance=None): self.instance = instance def factory(*args_, **kwargs_): if instances.subclass: return instances.subclass(*args_, **kwargs_) else: return instances(*args_, **kwargs_) factory = staticmethod(factory) def get_instance(self): return self.instance def set_instance(self, instance): self.instance = instance def export(self, outfile, level, namespace_='t:', name_='instances', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='instances') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='instances'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='instances', fromsubclass_=False): if self.instance is not None: self.instance.export(outfile, level, namespace_, name_='instance', ) def hasContent_(self): if ( self.instance is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='instances'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.instance is not None: showIndent(outfile, level) outfile.write('instance=model_.instance(\n') self.instance.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'instance': obj_ = instance.factory() obj_.build(child_) self.set_instance(obj_) # end class instances class errors(GeneratedsSuper): subclass = None superclass = None def __init__(self, approved=None): self.approved = approved def factory(*args_, **kwargs_): if errors.subclass: return errors.subclass(*args_, **kwargs_) else: return errors(*args_, **kwargs_) factory = staticmethod(factory) def get_approved(self): return self.approved def set_approved(self, approved): self.approved = approved def export(self, outfile, level, namespace_='t:', name_='errors', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='errors') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='errors'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='errors', fromsubclass_=False): if self.approved is not None: self.approved.export(outfile, level, namespace_, name_='approved', ) def hasContent_(self): if ( self.approved is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='errors'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.approved is not None: showIndent(outfile, level) outfile.write('approved=model_.approved(\n') self.approved.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'approved': obj_ = approved.factory() obj_.build(child_) self.set_approved(obj_) # end class errors class plain(GeneratedsSuper): subclass = None superclass = None def __init__(self, polygon=None, wire=None, text=None, circle=None, rectangle=None, frame=None, hole=None): if polygon is None: self.polygon = [] else: self.polygon = polygon if wire is None: self.wire = [] else: self.wire = wire if text is None: self.text = [] else: self.text = text if circle is None: self.circle = [] else: self.circle = circle if rectangle is None: self.rectangle = [] else: self.rectangle = rectangle if frame is None: self.frame = [] else: self.frame = frame if hole is None: self.hole = [] else: self.hole = hole def factory(*args_, **kwargs_): if plain.subclass: return plain.subclass(*args_, **kwargs_) else: return plain(*args_, **kwargs_) factory = staticmethod(factory) def get_polygon(self): return self.polygon def set_polygon(self, polygon): self.polygon = polygon def add_polygon(self, value): self.polygon.append(value) def insert_polygon(self, index, value): self.polygon[index] = value def get_wire(self): return self.wire def set_wire(self, wire): self.wire = wire def add_wire(self, value): self.wire.append(value) def insert_wire(self, index, value): self.wire[index] = value def get_text(self): return self.text def set_text(self, text): self.text = text def add_text(self, value): self.text.append(value) def insert_text(self, index, value): self.text[index] = value def get_circle(self): return self.circle def set_circle(self, circle): self.circle = circle def add_circle(self, value): self.circle.append(value) def insert_circle(self, index, value): self.circle[index] = value def get_rectangle(self): return self.rectangle def set_rectangle(self, rectangle): self.rectangle = rectangle def add_rectangle(self, value): self.rectangle.append(value) def insert_rectangle(self, index, value): self.rectangle[index] = value def get_frame(self): return self.frame def set_frame(self, frame): self.frame = frame def add_frame(self, value): self.frame.append(value) def insert_frame(self, index, value): self.frame[index] = value def get_hole(self): return self.hole def set_hole(self, hole): self.hole = hole def add_hole(self, value): self.hole.append(value) def insert_hole(self, index, value): self.hole[index] = value def export(self, outfile, level, namespace_='t:', name_='plain', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='plain') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='plain'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='plain', fromsubclass_=False): for polygon_ in self.polygon: polygon_.export(outfile, level, namespace_, name_='polygon') for wire_ in self.wire: wire_.export(outfile, level, namespace_, name_='wire') for text_ in self.text: text_.export(outfile, level, namespace_, name_='text') for circle_ in self.circle: circle_.export(outfile, level, namespace_, name_='circle') for rectangle_ in self.rectangle: rectangle_.export(outfile, level, namespace_, name_='rectangle') for frame_ in self.frame: frame_.export(outfile, level, namespace_, name_='frame') for hole_ in self.hole: hole_.export(outfile, level, namespace_, name_='hole') def hasContent_(self): if ( self.polygon or self.wire or self.text or self.circle or self.rectangle or self.frame or self.hole ): return True else: return False def exportLiteral(self, outfile, level, name_='plain'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): showIndent(outfile, level) outfile.write('polygon=[\n') level += 1 for polygon_ in self.polygon: showIndent(outfile, level) outfile.write('model_.polygon(\n') polygon_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('wire=[\n') level += 1 for wire_ in self.wire: showIndent(outfile, level) outfile.write('model_.wire(\n') wire_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('text=[\n') level += 1 for text_ in self.text: showIndent(outfile, level) outfile.write('model_.text(\n') text_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('circle=[\n') level += 1 for circle_ in self.circle: showIndent(outfile, level) outfile.write('model_.circle(\n') circle_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('rectangle=[\n') level += 1 for rectangle_ in self.rectangle: showIndent(outfile, level) outfile.write('model_.rectangle(\n') rectangle_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('frame=[\n') level += 1 for frame_ in self.frame: showIndent(outfile, level) outfile.write('model_.frame(\n') frame_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('hole=[\n') level += 1 for hole_ in self.hole: showIndent(outfile, level) outfile.write('model_.hole(\n') hole_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'polygon': obj_ = polygon.factory() obj_.build(child_) self.polygon.append(obj_) elif nodeName_ == 'wire': obj_ = wire.factory() obj_.build(child_) self.wire.append(obj_) elif nodeName_ == 'text': obj_ = text.factory() obj_.build(child_) self.text.append(obj_) elif nodeName_ == 'circle': obj_ = circle.factory() obj_.build(child_) self.circle.append(obj_) elif nodeName_ == 'rectangle': obj_ = rectangle.factory() obj_.build(child_) self.rectangle.append(obj_) elif nodeName_ == 'frame': obj_ = frame.factory() obj_.build(child_) self.frame.append(obj_) elif nodeName_ == 'hole': obj_ = hole.factory() obj_.build(child_) self.hole.append(obj_) # end class plain class designrules(GeneratedsSuper): subclass = None superclass = None def __init__(self, description=None, param=None): if description is None: self.description = [] else: self.description = description if param is None: self.param = [] else: self.param = param def factory(*args_, **kwargs_): if designrules.subclass: return designrules.subclass(*args_, **kwargs_) else: return designrules(*args_, **kwargs_) factory = staticmethod(factory) def get_description(self): return self.description def set_description(self, description): self.description = description def add_description(self, value): self.description.append(value) def insert_description(self, index, value): self.description[index] = value def get_param(self): return self.param def set_param(self, param): self.param = param def add_param(self, value): self.param.append(value) def insert_param(self, index, value): self.param[index] = value def export(self, outfile, level, namespace_='t:', name_='designrules', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='designrules') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='designrules'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='designrules', fromsubclass_=False): for description_ in self.description: description_.export(outfile, level, namespace_, name_='description') for param_ in self.param: param_.export(outfile, level, namespace_, name_='param') def hasContent_(self): if ( self.description or self.param ): return True else: return False def exportLiteral(self, outfile, level, name_='designrules'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): showIndent(outfile, level) outfile.write('description=[\n') level += 1 for description_ in self.description: showIndent(outfile, level) outfile.write('model_.description(\n') description_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') showIndent(outfile, level) outfile.write('param=[\n') level += 1 for param_ in self.param: showIndent(outfile, level) outfile.write('model_.param(\n') param_.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') level -= 1 showIndent(outfile, level) outfile.write('],\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'description': obj_ = description.factory() obj_.build(child_) self.description.append(obj_) elif nodeName_ == 'param': obj_ = param.factory() obj_.build(child_) self.param.append(obj_) # end class designrules class autorouter(GeneratedsSuper): subclass = None superclass = None def __init__(self, passxx=None): self.passxx = passxx def factory(*args_, **kwargs_): if autorouter.subclass: return autorouter.subclass(*args_, **kwargs_) else: return autorouter(*args_, **kwargs_) factory = staticmethod(factory) def get_pass(self): return self.passxx def set_pass(self, passxx): self.passxx = passxx def export(self, outfile, level, namespace_='t:', name_='autorouter', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='autorouter') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='autorouter'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='autorouter', fromsubclass_=False): if self.passxx is not None: self.passxx.export(outfile, level, namespace_, name_='pass', ) def hasContent_(self): if ( self.passxx is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='autorouter'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.passxx is not None: showIndent(outfile, level) outfile.write('passxx=model_.passxx(\n') self.passxx.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'pass': obj_ = passxx.factory() obj_.build(child_) self.set_pass(obj_) # end class autorouter class elements(GeneratedsSuper): subclass = None superclass = None def __init__(self, element=None): self.element = element def factory(*args_, **kwargs_): if elements.subclass: return elements.subclass(*args_, **kwargs_) else: return elements(*args_, **kwargs_) factory = staticmethod(factory) def get_element(self): return self.element def set_element(self, element): self.element = element def export(self, outfile, level, namespace_='t:', name_='elements', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='elements') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='elements'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='elements', fromsubclass_=False): if self.element is not None: self.element.export(outfile, level, namespace_, name_='element', ) def hasContent_(self): if ( self.element is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='elements'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.element is not None: showIndent(outfile, level) outfile.write('element=model_.element(\n') self.element.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'element': obj_ = element.factory() obj_.build(child_) self.set_element(obj_) # end class elements class signals(GeneratedsSuper): subclass = None superclass = None def __init__(self, signal=None): self.signal = signal def factory(*args_, **kwargs_): if signals.subclass: return signals.subclass(*args_, **kwargs_) else: return signals(*args_, **kwargs_) factory = staticmethod(factory) def get_signal(self): return self.signal def set_signal(self, signal): self.signal = signal def export(self, outfile, level, namespace_='t:', name_='signals', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='signals') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='signals'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='signals', fromsubclass_=False): if self.signal is not None: self.signal.export(outfile, level, namespace_, name_='signal', ) def hasContent_(self): if ( self.signal is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='signals'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.signal is not None: showIndent(outfile, level) outfile.write('signal=model_.signal(\n') self.signal.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'signal': obj_ = signal.factory() obj_.build(child_) self.set_signal(obj_) # end class signals class busses(GeneratedsSuper): subclass = None superclass = None def __init__(self, bus=None): self.bus = bus def factory(*args_, **kwargs_): if busses.subclass: return busses.subclass(*args_, **kwargs_) else: return busses(*args_, **kwargs_) factory = staticmethod(factory) def get_bus(self): return self.bus def set_bus(self, bus): self.bus = bus def export(self, outfile, level, namespace_='t:', name_='busses', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='busses') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='busses'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='busses', fromsubclass_=False): if self.bus is not None: self.bus.export(outfile, level, namespace_, name_='bus', ) def hasContent_(self): if ( self.bus is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='busses'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.bus is not None: showIndent(outfile, level) outfile.write('bus=model_.bus(\n') self.bus.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'bus': obj_ = bus.factory() obj_.build(child_) self.set_bus(obj_) # end class busses class nets(GeneratedsSuper): subclass = None superclass = None def __init__(self, net=None): self.net = net def factory(*args_, **kwargs_): if nets.subclass: return nets.subclass(*args_, **kwargs_) else: return nets(*args_, **kwargs_) factory = staticmethod(factory) def get_net(self): return self.net def set_net(self, net): self.net = net def export(self, outfile, level, namespace_='t:', name_='nets', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='nets') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='nets'): pass def exportChildren(self, outfile, level, namespace_='t:', name_='nets', fromsubclass_=False): if self.net is not None: self.net.export(outfile, level, namespace_, name_='net', ) def hasContent_(self): if ( self.net is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='nets'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): pass def exportLiteralChildren(self, outfile, level, name_): if self.net is not None: showIndent(outfile, level) outfile.write('net=model_.net(\n') self.net.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): pass def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'net': obj_ = net.factory() obj_.build(child_) self.set_net(obj_) # end class nets class setting(GeneratedsSuper): subclass = None superclass = None def __init__(self, alwaysvectorfont=None, verticaltext=None): self.alwaysvectorfont = _cast(None, alwaysvectorfont) self.verticaltext = _cast(None, verticaltext) pass def factory(*args_, **kwargs_): if setting.subclass: return setting.subclass(*args_, **kwargs_) else: return setting(*args_, **kwargs_) factory = staticmethod(factory) def get_alwaysvectorfont(self): return self.alwaysvectorfont def set_alwaysvectorfont(self, alwaysvectorfont): self.alwaysvectorfont = alwaysvectorfont def get_verticaltext(self): return self.verticaltext def set_verticaltext(self, verticaltext): self.verticaltext = verticaltext def export(self, outfile, level, namespace_='t:', name_='setting', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='setting') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='setting'): if self.alwaysvectorfont is not None and 'alwaysvectorfont' not in already_processed: already_processed.append('alwaysvectorfont') outfile.write(' alwaysvectorfont=%s' % (self.gds_format_string(quote_attrib(self.alwaysvectorfont).encode(ExternalEncoding), input_name='alwaysvectorfont'), )) if self.verticaltext is not None and 'verticaltext' not in already_processed: already_processed.append('verticaltext') outfile.write(' verticaltext=%s' % (self.gds_format_string(quote_attrib(self.verticaltext).encode(ExternalEncoding), input_name='verticaltext'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='setting', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='setting'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.alwaysvectorfont is not None and 'alwaysvectorfont' not in already_processed: already_processed.append('alwaysvectorfont') showIndent(outfile, level) outfile.write('alwaysvectorfont = "%s",\n' % (self.alwaysvectorfont,)) if self.verticaltext is not None and 'verticaltext' not in already_processed: already_processed.append('verticaltext') showIndent(outfile, level) outfile.write('verticaltext = "%s",\n' % (self.verticaltext,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('alwaysvectorfont', node) if value is not None and 'alwaysvectorfont' not in already_processed: already_processed.append('alwaysvectorfont') self.alwaysvectorfont = value value = find_attr_value_('verticaltext', node) if value is not None and 'verticaltext' not in already_processed: already_processed.append('verticaltext') self.verticaltext = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class setting class grid(GeneratedsSuper): subclass = None superclass = None def __init__(self, distance=None, style=None, multiple=None, altdistance=None, altunit=None, unitdist=None, altunitdist=None, display=None, unit=None): self.distance = _cast(None, distance) self.style = _cast(None, style) self.multiple = _cast(None, multiple) self.altdistance = _cast(None, altdistance) self.altunit = _cast(None, altunit) self.unitdist = _cast(None, unitdist) self.altunitdist = _cast(None, altunitdist) self.display = _cast(None, display) self.unit = _cast(None, unit) pass def factory(*args_, **kwargs_): if grid.subclass: return grid.subclass(*args_, **kwargs_) else: return grid(*args_, **kwargs_) factory = staticmethod(factory) def get_distance(self): return self.distance def set_distance(self, distance): self.distance = distance def get_style(self): return self.style def set_style(self, style): self.style = style def get_multiple(self): return self.multiple def set_multiple(self, multiple): self.multiple = multiple def get_altdistance(self): return self.altdistance def set_altdistance(self, altdistance): self.altdistance = altdistance def get_altunit(self): return self.altunit def set_altunit(self, altunit): self.altunit = altunit def get_unitdist(self): return self.unitdist def set_unitdist(self, unitdist): self.unitdist = unitdist def get_altunitdist(self): return self.altunitdist def set_altunitdist(self, altunitdist): self.altunitdist = altunitdist def get_display(self): return self.display def set_display(self, display): self.display = display def get_unit(self): return self.unit def set_unit(self, unit): self.unit = unit def export(self, outfile, level, namespace_='t:', name_='grid', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='grid') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='grid'): if self.distance is not None and 'distance' not in already_processed: already_processed.append('distance') outfile.write(' distance=%s' % (self.gds_format_string(quote_attrib(self.distance).encode(ExternalEncoding), input_name='distance'), )) if self.style is not None and 'style' not in already_processed: already_processed.append('style') outfile.write(' style=%s' % (self.gds_format_string(quote_attrib(self.style).encode(ExternalEncoding), input_name='style'), )) if self.multiple is not None and 'multiple' not in already_processed: already_processed.append('multiple') outfile.write(' multiple=%s' % (self.gds_format_string(quote_attrib(self.multiple).encode(ExternalEncoding), input_name='multiple'), )) if self.altdistance is not None and 'altdistance' not in already_processed: already_processed.append('altdistance') outfile.write(' altdistance=%s' % (self.gds_format_string(quote_attrib(self.altdistance).encode(ExternalEncoding), input_name='altdistance'), )) if self.altunit is not None and 'altunit' not in already_processed: already_processed.append('altunit') outfile.write(' altunit=%s' % (self.gds_format_string(quote_attrib(self.altunit).encode(ExternalEncoding), input_name='altunit'), )) if self.unitdist is not None and 'unitdist' not in already_processed: already_processed.append('unitdist') outfile.write(' unitdist=%s' % (self.gds_format_string(quote_attrib(self.unitdist).encode(ExternalEncoding), input_name='unitdist'), )) if self.altunitdist is not None and 'altunitdist' not in already_processed: already_processed.append('altunitdist') outfile.write(' altunitdist=%s' % (self.gds_format_string(quote_attrib(self.altunitdist).encode(ExternalEncoding), input_name='altunitdist'), )) if self.display is not None and 'display' not in already_processed: already_processed.append('display') outfile.write(' display=%s' % (self.gds_format_string(quote_attrib(self.display).encode(ExternalEncoding), input_name='display'), )) if self.unit is not None and 'unit' not in already_processed: already_processed.append('unit') outfile.write(' unit=%s' % (self.gds_format_string(quote_attrib(self.unit).encode(ExternalEncoding), input_name='unit'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='grid', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='grid'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.distance is not None and 'distance' not in already_processed: already_processed.append('distance') showIndent(outfile, level) outfile.write('distance = "%s",\n' % (self.distance,)) if self.style is not None and 'style' not in already_processed: already_processed.append('style') showIndent(outfile, level) outfile.write('style = "%s",\n' % (self.style,)) if self.multiple is not None and 'multiple' not in already_processed: already_processed.append('multiple') showIndent(outfile, level) outfile.write('multiple = "%s",\n' % (self.multiple,)) if self.altdistance is not None and 'altdistance' not in already_processed: already_processed.append('altdistance') showIndent(outfile, level) outfile.write('altdistance = "%s",\n' % (self.altdistance,)) if self.altunit is not None and 'altunit' not in already_processed: already_processed.append('altunit') showIndent(outfile, level) outfile.write('altunit = "%s",\n' % (self.altunit,)) if self.unitdist is not None and 'unitdist' not in already_processed: already_processed.append('unitdist') showIndent(outfile, level) outfile.write('unitdist = "%s",\n' % (self.unitdist,)) if self.altunitdist is not None and 'altunitdist' not in already_processed: already_processed.append('altunitdist') showIndent(outfile, level) outfile.write('altunitdist = "%s",\n' % (self.altunitdist,)) if self.display is not None and 'display' not in already_processed: already_processed.append('display') showIndent(outfile, level) outfile.write('display = "%s",\n' % (self.display,)) if self.unit is not None and 'unit' not in already_processed: already_processed.append('unit') showIndent(outfile, level) outfile.write('unit = "%s",\n' % (self.unit,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('distance', node) if value is not None and 'distance' not in already_processed: already_processed.append('distance') self.distance = value value = find_attr_value_('style', node) if value is not None and 'style' not in already_processed: already_processed.append('style') self.style = value value = find_attr_value_('multiple', node) if value is not None and 'multiple' not in already_processed: already_processed.append('multiple') self.multiple = value value = find_attr_value_('altdistance', node) if value is not None and 'altdistance' not in already_processed: already_processed.append('altdistance') self.altdistance = value value = find_attr_value_('altunit', node) if value is not None and 'altunit' not in already_processed: already_processed.append('altunit') self.altunit = value value = find_attr_value_('unitdist', node) if value is not None and 'unitdist' not in already_processed: already_processed.append('unitdist') self.unitdist = value value = find_attr_value_('altunitdist', node) if value is not None and 'altunitdist' not in already_processed: already_processed.append('altunitdist') self.altunitdist = value value = find_attr_value_('display', node) if value is not None and 'display' not in already_processed: already_processed.append('display') self.display = value value = find_attr_value_('unit', node) if value is not None and 'unit' not in already_processed: already_processed.append('unit') self.unit = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class grid class layer(GeneratedsSuper): subclass = None superclass = None def __init__(self, name=None, color=None, number=None, visible=None, active=None, fill=None): self.name = _cast(None, name) self.color = _cast(None, color) self.number = _cast(None, number) self.visible = _cast(None, visible) self.active = _cast(None, active) self.fill = _cast(None, fill) pass def factory(*args_, **kwargs_): if layer.subclass: return layer.subclass(*args_, **kwargs_) else: return layer(*args_, **kwargs_) factory = staticmethod(factory) def get_name(self): return self.name def set_name(self, name): self.name = name def get_color(self): return self.color def set_color(self, color): self.color = color def get_number(self): return self.number def set_number(self, number): self.number = number def get_visible(self): return self.visible def set_visible(self, visible): self.visible = visible def get_active(self): return self.active def set_active(self, active): self.active = active def get_fill(self): return self.fill def set_fill(self, fill): self.fill = fill def export(self, outfile, level, namespace_='t:', name_='layer', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='layer') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='layer'): if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) if self.color is not None and 'color' not in already_processed: already_processed.append('color') outfile.write(' color=%s' % (self.gds_format_string(quote_attrib(self.color).encode(ExternalEncoding), input_name='color'), )) if self.number is not None and 'number' not in already_processed: already_processed.append('number') outfile.write(' number=%s' % (self.gds_format_string(quote_attrib(self.number).encode(ExternalEncoding), input_name='number'), )) if self.visible is not None and 'visible' not in already_processed: already_processed.append('visible') outfile.write(' visible=%s' % (self.gds_format_string(quote_attrib(self.visible).encode(ExternalEncoding), input_name='visible'), )) if self.active is not None and 'active' not in already_processed: already_processed.append('active') outfile.write(' active=%s' % (self.gds_format_string(quote_attrib(self.active).encode(ExternalEncoding), input_name='active'), )) if self.fill is not None and 'fill' not in already_processed: already_processed.append('fill') outfile.write(' fill=%s' % (self.gds_format_string(quote_attrib(self.fill).encode(ExternalEncoding), input_name='fill'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='layer', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='layer'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) if self.color is not None and 'color' not in already_processed: already_processed.append('color') showIndent(outfile, level) outfile.write('color = "%s",\n' % (self.color,)) if self.number is not None and 'number' not in already_processed: already_processed.append('number') showIndent(outfile, level) outfile.write('number = "%s",\n' % (self.number,)) if self.visible is not None and 'visible' not in already_processed: already_processed.append('visible') showIndent(outfile, level) outfile.write('visible = "%s",\n' % (self.visible,)) if self.active is not None and 'active' not in already_processed: already_processed.append('active') showIndent(outfile, level) outfile.write('active = "%s",\n' % (self.active,)) if self.fill is not None and 'fill' not in already_processed: already_processed.append('fill') showIndent(outfile, level) outfile.write('fill = "%s",\n' % (self.fill,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value value = find_attr_value_('color', node) if value is not None and 'color' not in already_processed: already_processed.append('color') self.color = value value = find_attr_value_('number', node) if value is not None and 'number' not in already_processed: already_processed.append('number') self.number = value value = find_attr_value_('visible', node) if value is not None and 'visible' not in already_processed: already_processed.append('visible') self.visible = value value = find_attr_value_('active', node) if value is not None and 'active' not in already_processed: already_processed.append('active') self.active = value value = find_attr_value_('fill', node) if value is not None and 'fill' not in already_processed: already_processed.append('fill') self.fill = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class layer class classxx(GeneratedsSuper): subclass = None superclass = None def __init__(self, width=None, number=None, drill=None, name=None, clearance=None): self.width = _cast(None, width) self.number = _cast(None, number) self.drill = _cast(None, drill) self.name = _cast(None, name) self.clearance = clearance def factory(*args_, **kwargs_): if classxx.subclass: return classxx.subclass(*args_, **kwargs_) else: return classxx(*args_, **kwargs_) factory = staticmethod(factory) def get_clearance(self): return self.clearance def set_clearance(self, clearance): self.clearance = clearance def get_width(self): return self.width def set_width(self, width): self.width = width def get_number(self): return self.number def set_number(self, number): self.number = number def get_drill(self): return self.drill def set_drill(self, drill): self.drill = drill def get_name(self): return self.name def set_name(self, name): self.name = name def export(self, outfile, level, namespace_='t:', name_='class', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='class') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='class'): if self.width is not None and 'width' not in already_processed: already_processed.append('width') outfile.write(' width=%s' % (self.gds_format_string(quote_attrib(self.width).encode(ExternalEncoding), input_name='width'), )) if self.number is not None and 'number' not in already_processed: already_processed.append('number') outfile.write(' number=%s' % (self.gds_format_string(quote_attrib(self.number).encode(ExternalEncoding), input_name='number'), )) if self.drill is not None and 'drill' not in already_processed: already_processed.append('drill') outfile.write(' drill=%s' % (self.gds_format_string(quote_attrib(self.drill).encode(ExternalEncoding), input_name='drill'), )) if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='class', fromsubclass_=False): if self.clearance is not None: self.clearance.export(outfile, level, namespace_, name_='clearance', ) def hasContent_(self): if ( self.clearance is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='class'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.width is not None and 'width' not in already_processed: already_processed.append('width') showIndent(outfile, level) outfile.write('width = "%s",\n' % (self.width,)) if self.number is not None and 'number' not in already_processed: already_processed.append('number') showIndent(outfile, level) outfile.write('number = "%s",\n' % (self.number,)) if self.drill is not None and 'drill' not in already_processed: already_processed.append('drill') showIndent(outfile, level) outfile.write('drill = "%s",\n' % (self.drill,)) if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) def exportLiteralChildren(self, outfile, level, name_): if self.clearance is not None: showIndent(outfile, level) outfile.write('clearance=model_.clearance(\n') self.clearance.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('width', node) if value is not None and 'width' not in already_processed: already_processed.append('width') self.width = value value = find_attr_value_('number', node) if value is not None and 'number' not in already_processed: already_processed.append('number') self.number = value value = find_attr_value_('drill', node) if value is not None and 'drill' not in already_processed: already_processed.append('drill') self.drill = value value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'clearance': obj_ = clearance.factory() obj_.build(child_) self.set_clearance(obj_) # end class classxx class clearance(GeneratedsSuper): subclass = None superclass = None def __init__(self, classxx=None, value=None): self.classxx = _cast(None, classxx) self.value = _cast(None, value) pass def factory(*args_, **kwargs_): if clearance.subclass: return clearance.subclass(*args_, **kwargs_) else: return clearance(*args_, **kwargs_) factory = staticmethod(factory) def get_class(self): return self.classxx def set_class(self, classxx): self.classxx = classxx def get_value(self): return self.value def set_value(self, value): self.value = value def export(self, outfile, level, namespace_='t:', name_='clearance', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='clearance') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='clearance'): if self.classxx is not None and 'classxx' not in already_processed: already_processed.append('classxx') outfile.write(' class=%s' % (self.gds_format_string(quote_attrib(self.classxx).encode(ExternalEncoding), input_name='class'), )) if self.value is not None and 'value' not in already_processed: already_processed.append('value') outfile.write(' value=%s' % (self.gds_format_string(quote_attrib(self.value).encode(ExternalEncoding), input_name='value'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='clearance', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='clearance'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.classxx is not None and 'classxx' not in already_processed: already_processed.append('classxx') showIndent(outfile, level) outfile.write('classxx = "%s",\n' % (self.classxx,)) if self.value is not None and 'value' not in already_processed: already_processed.append('value') showIndent(outfile, level) outfile.write('value = "%s",\n' % (self.value,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('class', node) if value is not None and 'class' not in already_processed: already_processed.append('class') self.classxx = value value = find_attr_value_('value', node) if value is not None and 'value' not in already_processed: already_processed.append('value') self.value = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class clearance class description(GeneratedsSuper): subclass = None superclass = None def __init__(self, language=None, valueOf_=None, mixedclass_=None, content_=None): self.language = _cast(None, language) self.valueOf_ = valueOf_ if mixedclass_ is None: self.mixedclass_ = MixedContainer else: self.mixedclass_ = mixedclass_ if content_ is None: self.content_ = [] else: self.content_ = content_ self.valueOf_ = valueOf_ def factory(*args_, **kwargs_): if description.subclass: return description.subclass(*args_, **kwargs_) else: return description(*args_, **kwargs_) factory = staticmethod(factory) def get_language(self): return self.language def set_language(self, language): self.language = language def get_valueOf_(self): return self.valueOf_ def set_valueOf_(self, valueOf_): self.valueOf_ = valueOf_ def export(self, outfile, level, namespace_='t:', name_='description', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='description') outfile.write('>') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='description'): if self.language is not None and 'language' not in already_processed: already_processed.append('language') outfile.write(' language=%s' % (self.gds_format_string(quote_attrib(self.language).encode(ExternalEncoding), input_name='language'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='description', fromsubclass_=False): pass def hasContent_(self): if ( self.valueOf_ ): return True else: return False def exportLiteral(self, outfile, level, name_='description'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) showIndent(outfile, level) outfile.write('valueOf_ = """%s""",\n' % (self.valueOf_,)) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.language is not None and 'language' not in already_processed: already_processed.append('language') showIndent(outfile, level) outfile.write('language = "%s",\n' % (self.language,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) self.valueOf_ = get_all_text_(node) if node.text is not None: obj_ = self.mixedclass_(MixedContainer.CategoryText, MixedContainer.TypeNone, '', node.text) self.content_.append(obj_) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('language', node) if value is not None and 'language' not in already_processed: already_processed.append('language') self.language = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if not fromsubclass_ and child_.tail is not None: obj_ = self.mixedclass_(MixedContainer.CategoryText, MixedContainer.TypeNone, '', child_.tail) self.content_.append(obj_) pass # end class description class param(GeneratedsSuper): subclass = None superclass = None def __init__(self, name=None, value=None): self.name = _cast(None, name) self.value = _cast(None, value) pass def factory(*args_, **kwargs_): if param.subclass: return param.subclass(*args_, **kwargs_) else: return param(*args_, **kwargs_) factory = staticmethod(factory) def get_name(self): return self.name def set_name(self, name): self.name = name def get_value(self): return self.value def set_value(self, value): self.value = value def export(self, outfile, level, namespace_='t:', name_='param', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='param') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='param'): if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) if self.value is not None and 'value' not in already_processed: already_processed.append('value') outfile.write(' value=%s' % (self.gds_format_string(quote_attrib(self.value).encode(ExternalEncoding), input_name='value'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='param', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='param'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) if self.value is not None and 'value' not in already_processed: already_processed.append('value') showIndent(outfile, level) outfile.write('value = "%s",\n' % (self.value,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value value = find_attr_value_('value', node) if value is not None and 'value' not in already_processed: already_processed.append('value') self.value = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class param class passxx(GeneratedsSuper): subclass = None superclass = None def __init__(self, active=None, name=None, refer=None, param=None): self.active = _cast(None, active) self.name = _cast(None, name) self.refer = _cast(None, refer) self.param = param def factory(*args_, **kwargs_): if passxx.subclass: return passxx.subclass(*args_, **kwargs_) else: return passxx(*args_, **kwargs_) factory = staticmethod(factory) def get_param(self): return self.param def set_param(self, param): self.param = param def get_active(self): return self.active def set_active(self, active): self.active = active def get_name(self): return self.name def set_name(self, name): self.name = name def get_refer(self): return self.refer def set_refer(self, refer): self.refer = refer def export(self, outfile, level, namespace_='t:', name_='pass', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='pass') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) showIndent(outfile, level) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='pass'): if self.active is not None and 'active' not in already_processed: already_processed.append('active') outfile.write(' active=%s' % (self.gds_format_string(quote_attrib(self.active).encode(ExternalEncoding), input_name='active'), )) if self.name is not None and 'name' not in already_processed: already_processed.append('name') outfile.write(' name=%s' % (self.gds_format_string(quote_attrib(self.name).encode(ExternalEncoding), input_name='name'), )) if self.refer is not None and 'refer' not in already_processed: already_processed.append('refer') outfile.write(' refer=%s' % (self.gds_format_string(quote_attrib(self.refer).encode(ExternalEncoding), input_name='refer'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='pass', fromsubclass_=False): if self.param is not None: self.param.export(outfile, level, namespace_, name_='param', ) def hasContent_(self): if ( self.param is not None ): return True else: return False def exportLiteral(self, outfile, level, name_='pass'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.active is not None and 'active' not in already_processed: already_processed.append('active') showIndent(outfile, level) outfile.write('active = "%s",\n' % (self.active,)) if self.name is not None and 'name' not in already_processed: already_processed.append('name') showIndent(outfile, level) outfile.write('name = "%s",\n' % (self.name,)) if self.refer is not None and 'refer' not in already_processed: already_processed.append('refer') showIndent(outfile, level) outfile.write('refer = "%s",\n' % (self.refer,)) def exportLiteralChildren(self, outfile, level, name_): if self.param is not None: showIndent(outfile, level) outfile.write('param=model_.param(\n') self.param.exportLiteral(outfile, level) showIndent(outfile, level) outfile.write('),\n') def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('active', node) if value is not None and 'active' not in already_processed: already_processed.append('active') self.active = value value = find_attr_value_('name', node) if value is not None and 'name' not in already_processed: already_processed.append('name') self.name = value value = find_attr_value_('refer', node) if value is not None and 'refer' not in already_processed: already_processed.append('refer') self.refer = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): if nodeName_ == 'param': obj_ = param.factory() obj_.build(child_) self.set_param(obj_) # end class passxx class approved(GeneratedsSuper): subclass = None superclass = None def __init__(self, hash=None): self.hash = _cast(None, hash) pass def factory(*args_, **kwargs_): if approved.subclass: return approved.subclass(*args_, **kwargs_) else: return approved(*args_, **kwargs_) factory = staticmethod(factory) def get_hash(self): return self.hash def set_hash(self, hash): self.hash = hash def export(self, outfile, level, namespace_='t:', name_='approved', namespacedef_=''): showIndent(outfile, level) outfile.write('<%s%s%s' % (namespace_, name_, namespacedef_ and ' ' + namespacedef_ or '', )) already_processed = [] self.exportAttributes(outfile, level, already_processed, namespace_, name_='approved') if self.hasContent_(): outfile.write('>\n') self.exportChildren(outfile, level + 1, namespace_, name_) outfile.write('</%s%s>\n' % (namespace_, name_)) else: outfile.write('/>\n') def exportAttributes(self, outfile, level, already_processed, namespace_='t:', name_='approved'): if self.hash is not None and 'hash' not in already_processed: already_processed.append('hash') outfile.write(' hash=%s' % (self.gds_format_string(quote_attrib(self.hash).encode(ExternalEncoding), input_name='hash'), )) def exportChildren(self, outfile, level, namespace_='t:', name_='approved', fromsubclass_=False): pass def hasContent_(self): if ( ): return True else: return False def exportLiteral(self, outfile, level, name_='approved'): level += 1 self.exportLiteralAttributes(outfile, level, [], name_) if self.hasContent_(): self.exportLiteralChildren(outfile, level, name_) def exportLiteralAttributes(self, outfile, level, already_processed, name_): if self.hash is not None and 'hash' not in already_processed: already_processed.append('hash') showIndent(outfile, level) outfile.write('hash = "%s",\n' % (self.hash,)) def exportLiteralChildren(self, outfile, level, name_): pass def build(self, node): self.buildAttributes(node, node.attrib, []) for child in node: nodeName_ = Tag_pattern_.match(child.tag).groups()[-1] self.buildChildren(child, node, nodeName_) def buildAttributes(self, node, attrs, already_processed): value = find_attr_value_('hash', node) if value is not None and 'hash' not in already_processed: already_processed.append('hash') self.hash = value def buildChildren(self, child_, node, nodeName_, fromsubclass_=False): pass # end class approved USAGE_TEXT = """ Usage: python <Parser>.py [ -s ] <in_xml_file> """ def usage(): print USAGE_TEXT sys.exit(1) def get_root_tag(node): tag = Tag_pattern_.match(node.tag).groups()[-1] rootClass = globals().get(tag) return tag, rootClass def parse(inFileName): doc = parsexml_(inFileName) rootNode = doc.getroot() rootTag, rootClass = get_root_tag(rootNode) if rootClass is None: rootTag = 'eagle' rootClass = eagle rootObj = rootClass.factory() rootObj.build(rootNode) # Enable Python to collect the space used by the DOM. doc = None sys.stdout.write('<?xml version="1.0" ?>\n') rootObj.export(sys.stdout, 0, name_=rootTag, namespacedef_='') return rootObj def parseString(inString): from StringIO import StringIO doc = parsexml_(StringIO(inString)) rootNode = doc.getroot() rootTag, rootClass = get_root_tag(rootNode) if rootClass is None: rootTag = 'eagle' rootClass = eagle rootObj = rootClass.factory() rootObj.build(rootNode) # Enable Python to collect the space used by the DOM. doc = None sys.stdout.write('<?xml version="1.0" ?>\n') rootObj.export(sys.stdout, 0, name_="eagle", namespacedef_='') return rootObj def parseLiteral(inFileName): doc = parsexml_(inFileName) rootNode = doc.getroot() rootTag, rootClass = get_root_tag(rootNode) if rootClass is None: rootTag = 'eagle' rootClass = eagle rootObj = rootClass.factory() rootObj.build(rootNode) # Enable Python to collect the space used by the DOM. doc = None sys.stdout.write('#from eagle import *\n\n') sys.stdout.write('import eagle as model_\n\n') sys.stdout.write('rootObj = model_.rootTag(\n') rootObj.exportLiteral(sys.stdout, 0, name_=rootTag) sys.stdout.write(')\n') return rootObj def main(): args = sys.argv[1:] if len(args) == 1: parse(args[0]) else: usage() if __name__ == '__main__': #import pdb; pdb.set_trace() main() __all__ = [ "approved", "attribute", "attributes", "autorouter", "board", "bus", "busses", "circle", "classes", "classxx", "clearance", "compatibility", "connect", "connects", "contactref", "description", "designrules", "device", "devices", "deviceset", "devicesets", "dimension", "drawing", "eagle", "element", "elements", "errors", "frame", "gate", "gates", "grid", "hole", "instance", "instances", "junction", "label", "layer", "layers", "libraries", "library", "net", "nets", "note", "package", "packages", "pad", "param", "part", "parts", "passxx", "pin", "pinref", "plain", "polygon", "rectangle", "schematic", "segment", "setting", "settings", "sheet", "sheets", "signal", "signals", "smd", "symbol", "symbols", "technologies", "technology", "text", "variant", "variantdef", "variantdefs", "vertex", "via", "wire" ]

46.059278

195

0.621531

49,807

435,122

5.250929

0.009376

0.10076

0.029801

0.029182

0.879763

0.843335

0.821724

0.806193

0.771218

0.762978

0

0.002598

0.26137

435,122

9,446

196

46.064154

0.811148

0.006247

0

0.771639

1

0

0.056624

0.004349

0

null

0.024605

0.003844

null

0.000659

0

null

0

1

0

1

0

null

0

1

0

9

e6761d169ef4563f78451feb7c9e38c9e8312ee6

2,646

py

Python

livestyled/tests/test_resource_audience_device.py

Edvinas9/python-sdk

e24413b337f7d2232e28944b93ded7a430df0293

[ "MIT" ]

null

livestyled/tests/test_resource_audience_device.py

Edvinas9/python-sdk

e24413b337f7d2232e28944b93ded7a430df0293

[ "MIT" ]

1

2021-07-09T10:59:21.000Z

livestyled/tests/test_resource_audience_device.py

livestyled/python-sdk

e75263e8bbf7132e4ce0e69d0ca3ad19088661b2

[ "MIT" ]

3

2021-02-01T10:13:36.000Z

2022-02-11T17:47:30.000Z

from datetime import datetime import os from livestyled.models.audience_device import AudienceDevice from livestyled.resource_client import LiveStyledResourceClient from livestyled.tests.utils import configure_mock_responses FIXTURES_DIR = os.path.join(os.path.dirname(__file__), 'fixtures') TEST_API_DOMAIN = 'test.livestyled.com' CONTENT_TYPE = 'application/ld+json' def test_audience_creation_duplicate(requests_mock): mock_responses = ( ('POST', 'https://' + TEST_API_DOMAIN + '/v4/user_management/audience_devices', 'mock_responses/ls_api/user_management/create_audience_500_response.json', 500), ) configure_mock_responses(requests_mock, mock_responses, FIXTURES_DIR, CONTENT_TYPE) resource_client = LiveStyledResourceClient(TEST_API_DOMAIN, 'bar') audience_device = AudienceDevice({ 'id': 1, 'name': 'name', 'reality_values': [], 'updated_at': datetime.now(), 'created_at': datetime.now() }, { 'id': 1, 'token': 'name', 'consent': {}, 'push_consents': [], 'status': 'active', 'type': 'active', 'app_version': 'active', 'os_version': 'active', 'model': 'active', 'manufacturer': 'active', 'bluetooth_on': 'active', 'wifi_connected': 'active', 'updated_at': datetime.now(), 'created_at': datetime.now() }) res = resource_client.create_audience_device(audience_device=audience_device) assert audience_device == res def test_audience_creation_duplicate_adverse_response(requests_mock): mock_responses = ( ('POST', 'https://' + TEST_API_DOMAIN + '/v4/user_management/audience_devices', 'mock_responses/ls_api/user_management/create_audience_500_response_2.json', 500), ) configure_mock_responses(requests_mock, mock_responses, FIXTURES_DIR, CONTENT_TYPE) resource_client = LiveStyledResourceClient(TEST_API_DOMAIN, 'bar') audience_device = AudienceDevice({ 'id': 1, 'name': 'name', 'reality_values': [], 'updated_at': datetime.now(), 'created_at': datetime.now() }, { 'id': 1, 'token': 'name', 'consent': {}, 'push_consents': [], 'status': 'active', 'type': 'active', 'app_version': 'active', 'os_version': 'active', 'model': 'active', 'manufacturer': 'active', 'bluetooth_on': 'active', 'wifi_connected': 'active', 'updated_at': datetime.now(), 'created_at': datetime.now() }) res = resource_client.create_audience_device(audience_device=audience_device) assert audience_device == res

35.28

113

0.660242

281

2,646

5.871886

0.263345

0.093333

0.06303

0.060606

0.807273

0.768485

0

0.008988

0.201058

2,646

74

114

35.756757

0.771523

0

0.774194

0

0.274376

0.081633

0

0.032258

1

0.032258

false

0

0.080645

0

0.112903

0

null

0

1

0

1

0

null

0

7

e6960f04b19b006af92eb512a96660bce137deb7

147

py

Python

commands/helpers/load_inventory.py

TiesWestendorp/MTG-Deck-Organizer

409185c1bcfc8bf70c441d3242ed10c7c41f9d90

[ "MIT" ]

null

commands/helpers/load_inventory.py

TiesWestendorp/MTG-Deck-Organizer

409185c1bcfc8bf70c441d3242ed10c7c41f9d90

[ "MIT" ]

null

commands/helpers/load_inventory.py

TiesWestendorp/MTG-Deck-Organizer

409185c1bcfc8bf70c441d3242ed10c7c41f9d90

[ "MIT" ]

null

from helpers.file_to_dict import file_to_dict def load_inventory(): """Load the inventory""" return file_to_dict('../data/inventory.txt')

24.5

48

0.734694

22

147

4.590909

0.590909

0.178218

0.29703

0

0.136054

147

5

49

29.4

0.795276

0.122449

0

0.170732

0

1

0.333333

true

0

0.333333

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

e69c8c4a4b7c3dff8c8723bc49cddbc98a219dbe

1,553

py

Python

test_maximum_product_subarray.py

jaebradley/leetcode.py

64634cc7d0e975ddd163f35acb18cc92960b8eb5

[ "MIT" ]

null

test_maximum_product_subarray.py

jaebradley/leetcode.py

64634cc7d0e975ddd163f35acb18cc92960b8eb5

[ "MIT" ]

2

2019-11-13T19:55:49.000Z

2019-11-13T19:55:57.000Z

test_maximum_product_subarray.py

jaebradley/leetcode.py

64634cc7d0e975ddd163f35acb18cc92960b8eb5

[ "MIT" ]

null

from unittest import TestCase from maximum_product_subarray import Solution class TestMaximumProductSubarray(TestCase): def test_with_positive_numbers(self): self.assertEqual(Solution().maxProduct([1, 2, 3, 4]), 24) def test_with_positive_numbers_with_zero_at_beginning(self): self.assertEqual(Solution().maxProduct([0, 4, 5]), 20) def test_with_positive_numbers_with_zero_in_the_middle(self): self.assertEqual(Solution().maxProduct([4, 0, 5]), 5) def test_with_positive_numbers_with_zero_at_end(self): self.assertEqual(Solution().maxProduct([4, 5, 0]), 20) def test_with_even_number_of_negative_numbers(self): self.assertEqual(Solution().maxProduct([-1, -2, -3, -4]), 24) def test_with_negative_numbers_with_zero_at_beginning(self): self.assertEqual(Solution().maxProduct([0, -4, -5]), 20) def test_with_negative_numbers_with_zero_in_the_middle(self): self.assertEqual(Solution().maxProduct([-4, 0, -5]), 0) def test_with_negative_numbers_with_zero_at_end(self): self.assertEqual(Solution().maxProduct([-4, -5, 0]), 20) def test_with_odd_number_of_negative_numbers_with_zero_at_beginning(self): self.assertEqual(Solution().maxProduct([0, 4, -5]), 4) def test_with_odd_numbers_of_negative_numbers_with_zero_in_the_middle(self): self.assertEqual(Solution().maxProduct([4, 0, -5]), 4) def test_with_odd_numbers_of_negative_numbers_with_zero_at_end(self): self.assertEqual(Solution().maxProduct([4, -5, 0]), 4)

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dataverse/settings/__init__.py

SamiSousa/dataverse-client-python

0730a657d44782fe8f06d72e9a14e975ac8caa50

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dataverse/settings/__init__.py

SamiSousa/dataverse-client-python

0730a657d44782fe8f06d72e9a14e975ac8caa50

[ "Apache-2.0" ]

45

2015-04-14T20:56:21.000Z

2019-06-28T18:09:08.000Z

dataverse/settings/__init__.py

SamiSousa/dataverse-client-python

0730a657d44782fe8f06d72e9a14e975ac8caa50

[ "Apache-2.0" ]

24

2015-04-29T10:15:04.000Z

2019-12-10T15:34:34.000Z

from __future__ import absolute_import from dataverse.settings.defaults import * # noqa try: from dataverse.settings.local import * # noqa except ImportError as error: pass

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sdk/agrifood/azure-agrifood-farming/azure/agrifood/farming/models/_models.py

rsdoherty/azure-sdk-for-python

6bba5326677468e6660845a703686327178bb7b1

[ "MIT" ]

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sdk/agrifood/azure-agrifood-farming/azure/agrifood/farming/models/_models.py

rsdoherty/azure-sdk-for-python

6bba5326677468e6660845a703686327178bb7b1

[ "MIT" ]

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2015-01-05T15:57:17.000Z

2022-03-31T23:50:25.000Z

sdk/agrifood/azure-agrifood-farming/azure/agrifood/farming/models/_models.py

rsdoherty/azure-sdk-for-python

6bba5326677468e6660845a703686327178bb7b1

[ "MIT" ]

1,916

2015-01-19T05:05:41.000Z

2022-03-31T19:36:44.000Z

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is regenerated. # -------------------------------------------------------------------------- from azure.core.exceptions import HttpResponseError import msrest.serialization class ApplicationData(msrest.serialization.Model): """Schema of application data resource. Variables are only populated by the server, and will be ignored when sending a request. :param application_product_details: Application product details. :type application_product_details: list[~azure.agrifood.farming.models.ApplicationProductDetail] :param avg_material: Schema for storing measurement reading and unit. :type avg_material: ~azure.agrifood.farming.models.Measure :param total_material: Schema for storing measurement reading and unit. :type total_material: ~azure.agrifood.farming.models.Measure :param area: Schema for storing measurement reading and unit. :type area: ~azure.agrifood.farming.models.Measure :param source: Source of the operation data. :type source: str :param operation_modified_date_time: Modified date-time of the operation data, sample format: yyyy-MM-ddTHH:mm:ssZ. Note: this will be specified by the source provider itself. :type operation_modified_date_time: ~datetime.datetime :param operation_start_date_time: Start date-time of the operation data, sample format: yyyy-MM-ddTHH:mm:ssZ. :type operation_start_date_time: ~datetime.datetime :param operation_end_date_time: End date-time of the operation data, sample format: yyyy-MM-ddTHH:mm:ssZ. :type operation_end_date_time: ~datetime.datetime :ivar attachments_link: Link for attachments. :vartype attachments_link: str :param associated_boundary_id: Optional boundary ID of the field for which operation was applied. :type associated_boundary_id: str :param operation_boundary_id: Optional boundary ID of the actual area for which operation was applied inside the specified field. :type operation_boundary_id: str :ivar farmer_id: Farmer ID which belongs to the operation data. :vartype farmer_id: str :ivar id: Unique resource ID. :vartype id: str :ivar e_tag: The ETag value to implement optimistic concurrency. :vartype e_tag: str :param status: Status of the resource. :type status: str :ivar created_date_time: Date-time when resource was created, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar modified_date_time: Date-time when resource was last modified, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype modified_date_time: ~datetime.datetime :param name: Name to identify resource. :type name: str :param description: Textual description of the resource. :type description: str :param properties: A collection of key value pairs that belongs to the resource. Each pair must not have a key greater than 50 characters and must not have a value greater than 150 characters. Note: A maximum of 25 key value pairs can be provided for a resource and only string and numeral values are supported. :type properties: dict[str, any] """ _validation = { 'source': {'max_length': 100, 'min_length': 2}, 'attachments_link': {'readonly': True}, 'farmer_id': {'readonly': True}, 'id': {'readonly': True}, 'e_tag': {'readonly': True}, 'status': {'max_length': 100, 'min_length': 0}, 'created_date_time': {'readonly': True}, 'modified_date_time': {'readonly': True}, 'name': {'max_length': 100, 'min_length': 0}, 'description': {'max_length': 500, 'min_length': 0}, } _attribute_map = { 'application_product_details': {'key': 'applicationProductDetails', 'type': '[ApplicationProductDetail]'}, 'avg_material': {'key': 'avgMaterial', 'type': 'Measure'}, 'total_material': {'key': 'totalMaterial', 'type': 'Measure'}, 'area': {'key': 'area', 'type': 'Measure'}, 'source': {'key': 'source', 'type': 'str'}, 'operation_modified_date_time': {'key': 'operationModifiedDateTime', 'type': 'iso-8601'}, 'operation_start_date_time': {'key': 'operationStartDateTime', 'type': 'iso-8601'}, 'operation_end_date_time': {'key': 'operationEndDateTime', 'type': 'iso-8601'}, 'attachments_link': {'key': 'attachmentsLink', 'type': 'str'}, 'associated_boundary_id': {'key': 'associatedBoundaryId', 'type': 'str'}, 'operation_boundary_id': {'key': 'operationBoundaryId', 'type': 'str'}, 'farmer_id': {'key': 'farmerId', 'type': 'str'}, 'id': {'key': 'id', 'type': 'str'}, 'e_tag': {'key': 'eTag', 'type': 'str'}, 'status': {'key': 'status', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'modified_date_time': {'key': 'modifiedDateTime', 'type': 'iso-8601'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'properties': {'key': 'properties', 'type': '{object}'}, } def __init__( self, **kwargs ): super(ApplicationData, self).__init__(**kwargs) self.application_product_details = kwargs.get('application_product_details', None) self.avg_material = kwargs.get('avg_material', None) self.total_material = kwargs.get('total_material', None) self.area = kwargs.get('area', None) self.source = kwargs.get('source', None) self.operation_modified_date_time = kwargs.get('operation_modified_date_time', None) self.operation_start_date_time = kwargs.get('operation_start_date_time', None) self.operation_end_date_time = kwargs.get('operation_end_date_time', None) self.attachments_link = None self.associated_boundary_id = kwargs.get('associated_boundary_id', None) self.operation_boundary_id = kwargs.get('operation_boundary_id', None) self.farmer_id = None self.id = None self.e_tag = None self.status = kwargs.get('status', None) self.created_date_time = None self.modified_date_time = None self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.properties = kwargs.get('properties', None) class ApplicationDataListResponse(msrest.serialization.Model): """Paged response contains list of requested objects and a URL link to get the next set of results. :param value: List of requested objects. :type value: list[~azure.agrifood.farming.models.ApplicationData] :param skip_token: Token used in retrieving the next page. If null, there are no additional pages. :type skip_token: str :param next_link: Continuation link (absolute URI) to the next page of results in the list. :type next_link: str """ _attribute_map = { 'value': {'key': 'value', 'type': '[ApplicationData]'}, 'skip_token': {'key': '$skipToken', 'type': 'str'}, 'next_link': {'key': 'nextLink', 'type': 'str'}, } def __init__( self, **kwargs ): super(ApplicationDataListResponse, self).__init__(**kwargs) self.value = kwargs.get('value', None) self.skip_token = kwargs.get('skip_token', None) self.next_link = kwargs.get('next_link', None) class ApplicationProductDetail(msrest.serialization.Model): """Schema of product used during application. :param product_name: Name of the product applied. :type product_name: str :param is_carrier: A flag indicating whether product is a carrier for a tank mix. :type is_carrier: bool :param avg_material: Schema for storing measurement reading and unit. :type avg_material: ~azure.agrifood.farming.models.Measure :param total_material: Schema for storing measurement reading and unit. :type total_material: ~azure.agrifood.farming.models.Measure """ _validation = { 'product_name': {'max_length': 100, 'min_length': 1}, } _attribute_map = { 'product_name': {'key': 'productName', 'type': 'str'}, 'is_carrier': {'key': 'isCarrier', 'type': 'bool'}, 'avg_material': {'key': 'avgMaterial', 'type': 'Measure'}, 'total_material': {'key': 'totalMaterial', 'type': 'Measure'}, } def __init__( self, **kwargs ): super(ApplicationProductDetail, self).__init__(**kwargs) self.product_name = kwargs.get('product_name', None) self.is_carrier = kwargs.get('is_carrier', False) self.avg_material = kwargs.get('avg_material', None) self.total_material = kwargs.get('total_material', None) class Attachment(msrest.serialization.Model): """Schema of attachment resource. Variables are only populated by the server, and will be ignored when sending a request. :ivar farmer_id: Farmer id for this attachment. :vartype farmer_id: str :param resource_id: Associated Resource id for this attachment. :type resource_id: str :param resource_type: Associated Resource type for this attachment i.e. Farmer, Farm, Field, SeasonalField, Boundary, FarmOperationApplicationData, HarvestData, TillageData, PlantingData. :type resource_type: str :ivar original_file_name: Original File Name for this attachment. :vartype original_file_name: str :ivar id: Unique id. :vartype id: str :param status: Status of the resource. :type status: str :ivar created_date_time: Date when resource was created. :vartype created_date_time: ~datetime.datetime :ivar modified_date_time: Date when resource was last modified. :vartype modified_date_time: ~datetime.datetime :param name: Name to identify resource. :type name: str :param description: Textual description of resource. :type description: str :ivar e_tag: The ETag value to implement optimistic concurrency. :vartype e_tag: str """ _validation = { 'farmer_id': {'readonly': True}, 'original_file_name': {'readonly': True}, 'id': {'readonly': True}, 'status': {'max_length': 100, 'min_length': 0}, 'created_date_time': {'readonly': True}, 'modified_date_time': {'readonly': True}, 'name': {'max_length': 100, 'min_length': 0}, 'description': {'max_length': 500, 'min_length': 0}, 'e_tag': {'readonly': True}, } _attribute_map = { 'farmer_id': {'key': 'farmerId', 'type': 'str'}, 'resource_id': {'key': 'resourceId', 'type': 'str'}, 'resource_type': {'key': 'resourceType', 'type': 'str'}, 'original_file_name': {'key': 'originalFileName', 'type': 'str'}, 'id': {'key': 'id', 'type': 'str'}, 'status': {'key': 'status', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'modified_date_time': {'key': 'modifiedDateTime', 'type': 'iso-8601'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'e_tag': {'key': 'eTag', 'type': 'str'}, } def __init__( self, **kwargs ): super(Attachment, self).__init__(**kwargs) self.farmer_id = None self.resource_id = kwargs.get('resource_id', None) self.resource_type = kwargs.get('resource_type', None) self.original_file_name = None self.id = None self.status = kwargs.get('status', None) self.created_date_time = None self.modified_date_time = None self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.e_tag = None class AttachmentListResponse(msrest.serialization.Model): """Paged response contains list of requested objects and a URL link to get the next set of results. :param value: List of requested objects. :type value: list[~azure.agrifood.farming.models.Attachment] :param skip_token: Token used in retrieving the next page. If null, there are no additional pages. :type skip_token: str :param next_link: Continuation link (absolute URI) to the next page of results in the list. :type next_link: str """ _attribute_map = { 'value': {'key': 'value', 'type': '[Attachment]'}, 'skip_token': {'key': '$skipToken', 'type': 'str'}, 'next_link': {'key': 'nextLink', 'type': 'str'}, } def __init__( self, **kwargs ): super(AttachmentListResponse, self).__init__(**kwargs) self.value = kwargs.get('value', None) self.skip_token = kwargs.get('skip_token', None) self.next_link = kwargs.get('next_link', None) class Boundary(msrest.serialization.Model): """Schema of boundary resource. Variables are only populated by the server, and will be ignored when sending a request. :ivar farmer_id: Farmer ID. :vartype farmer_id: str :param parent_id: ID of the parent(field or seasonalField) it belongs to. :type parent_id: str :param geometry: GeoJSON abstract class. :type geometry: ~azure.agrifood.farming.models.GeoJsonObject :param is_primary: Is the boundary primary. :type is_primary: bool :ivar acreage: Boundary area in acres. :vartype acreage: float :ivar parent_type: Type of the parent it belongs to. :vartype parent_type: str :ivar id: Unique resource ID. :vartype id: str :ivar e_tag: The ETag value to implement optimistic concurrency. :vartype e_tag: str :param status: Status of the resource. :type status: str :ivar created_date_time: Date-time when resource was created, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar modified_date_time: Date-time when resource was last modified, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype modified_date_time: ~datetime.datetime :param name: Name to identify resource. :type name: str :param description: Textual description of the resource. :type description: str :param properties: A collection of key value pairs that belongs to the resource. Each pair must not have a key greater than 50 characters and must not have a value greater than 150 characters. Note: A maximum of 25 key value pairs can be provided for a resource and only string and numeral values are supported. :type properties: dict[str, any] """ _validation = { 'farmer_id': {'readonly': True}, 'acreage': {'readonly': True}, 'parent_type': {'readonly': True}, 'id': {'readonly': True}, 'e_tag': {'readonly': True}, 'status': {'max_length': 100, 'min_length': 0}, 'created_date_time': {'readonly': True}, 'modified_date_time': {'readonly': True}, 'name': {'max_length': 100, 'min_length': 0}, 'description': {'max_length': 500, 'min_length': 0}, } _attribute_map = { 'farmer_id': {'key': 'farmerId', 'type': 'str'}, 'parent_id': {'key': 'parentId', 'type': 'str'}, 'geometry': {'key': 'geometry', 'type': 'GeoJsonObject'}, 'is_primary': {'key': 'isPrimary', 'type': 'bool'}, 'acreage': {'key': 'acreage', 'type': 'float'}, 'parent_type': {'key': 'parentType', 'type': 'str'}, 'id': {'key': 'id', 'type': 'str'}, 'e_tag': {'key': 'eTag', 'type': 'str'}, 'status': {'key': 'status', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'modified_date_time': {'key': 'modifiedDateTime', 'type': 'iso-8601'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'properties': {'key': 'properties', 'type': '{object}'}, } def __init__( self, **kwargs ): super(Boundary, self).__init__(**kwargs) self.farmer_id = None self.parent_id = kwargs.get('parent_id', None) self.geometry = kwargs.get('geometry', None) self.is_primary = kwargs.get('is_primary', None) self.acreage = None self.parent_type = None self.id = None self.e_tag = None self.status = kwargs.get('status', None) self.created_date_time = None self.modified_date_time = None self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.properties = kwargs.get('properties', None) class BoundaryListResponse(msrest.serialization.Model): """Paged response contains list of requested objects and a URL link to get the next set of results. :param value: List of requested objects. :type value: list[~azure.agrifood.farming.models.Boundary] :param skip_token: Token used in retrieving the next page. If null, there are no additional pages. :type skip_token: str :param next_link: Continuation link (absolute URI) to the next page of results in the list. :type next_link: str """ _attribute_map = { 'value': {'key': 'value', 'type': '[Boundary]'}, 'skip_token': {'key': '$skipToken', 'type': 'str'}, 'next_link': {'key': 'nextLink', 'type': 'str'}, } def __init__( self, **kwargs ): super(BoundaryListResponse, self).__init__(**kwargs) self.value = kwargs.get('value', None) self.skip_token = kwargs.get('skip_token', None) self.next_link = kwargs.get('next_link', None) class BoundaryOverlapResponse(msrest.serialization.Model): """Schema of boundary overlap response. :param boundary_acreage: Acreage of Main boundary. :type boundary_acreage: float :param other_boundary_acreage: Acreage of other boundary. :type other_boundary_acreage: float :param intersecting_acreage: Acreage of intersecting boundary. :type intersecting_acreage: float """ _attribute_map = { 'boundary_acreage': {'key': 'boundaryAcreage', 'type': 'float'}, 'other_boundary_acreage': {'key': 'otherBoundaryAcreage', 'type': 'float'}, 'intersecting_acreage': {'key': 'intersectingAcreage', 'type': 'float'}, } def __init__( self, **kwargs ): super(BoundaryOverlapResponse, self).__init__(**kwargs) self.boundary_acreage = kwargs.get('boundary_acreage', None) self.other_boundary_acreage = kwargs.get('other_boundary_acreage', None) self.intersecting_acreage = kwargs.get('intersecting_acreage', None) class CascadeDeleteJob(msrest.serialization.Model): """Schema of cascade delete job. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :param farmer_id: Required. Farmer ID. :type farmer_id: str :param resource_id: Required. The id of the resource. :type resource_id: str :param resource_type: Required. The type of the resource. :type resource_type: str :ivar id: Unique job id. :vartype id: str :ivar status: Status of the job. Possible values: 'Waiting', 'Running', 'Succeeded', 'Failed', 'Cancelled'. :vartype status: str :ivar duration_in_seconds: Duration of the job in seconds. :vartype duration_in_seconds: float :ivar message: Status message to capture more details of the job. :vartype message: str :ivar created_date_time: Job created at dateTime. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar last_action_date_time: Job was last acted upon at dateTime. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype last_action_date_time: ~datetime.datetime :ivar start_time: Job start time when available. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype start_time: ~datetime.datetime :ivar end_time: Job end time when available. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype end_time: ~datetime.datetime :param name: Name to identify resource. :type name: str :param description: Textual description of the resource. :type description: str :param properties: A collection of key value pairs that belongs to the resource. Each pair must not have a key greater than 50 characters and must not have a value greater than 150 characters. Note: A maximum of 25 key value pairs can be provided for a resource and only string and numeral values are supported. :type properties: dict[str, any] """ _validation = { 'farmer_id': {'required': True}, 'resource_id': {'required': True}, 'resource_type': {'required': True}, 'id': {'readonly': True}, 'status': {'readonly': True}, 'duration_in_seconds': {'readonly': True}, 'message': {'readonly': True}, 'created_date_time': {'readonly': True}, 'last_action_date_time': {'readonly': True}, 'start_time': {'readonly': True}, 'end_time': {'readonly': True}, 'name': {'max_length': 100, 'min_length': 0}, 'description': {'max_length': 500, 'min_length': 0}, } _attribute_map = { 'farmer_id': {'key': 'farmerId', 'type': 'str'}, 'resource_id': {'key': 'resourceId', 'type': 'str'}, 'resource_type': {'key': 'resourceType', 'type': 'str'}, 'id': {'key': 'id', 'type': 'str'}, 'status': {'key': 'status', 'type': 'str'}, 'duration_in_seconds': {'key': 'durationInSeconds', 'type': 'float'}, 'message': {'key': 'message', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'last_action_date_time': {'key': 'lastActionDateTime', 'type': 'iso-8601'}, 'start_time': {'key': 'startTime', 'type': 'iso-8601'}, 'end_time': {'key': 'endTime', 'type': 'iso-8601'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'properties': {'key': 'properties', 'type': '{object}'}, } def __init__( self, **kwargs ): super(CascadeDeleteJob, self).__init__(**kwargs) self.farmer_id = kwargs['farmer_id'] self.resource_id = kwargs['resource_id'] self.resource_type = kwargs['resource_type'] self.id = None self.status = None self.duration_in_seconds = None self.message = None self.created_date_time = None self.last_action_date_time = None self.start_time = None self.end_time = None self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.properties = kwargs.get('properties', None) class Crop(msrest.serialization.Model): """Schema of crop resource. Variables are only populated by the server, and will be ignored when sending a request. :param phenotype: Crop phenotype. :type phenotype: str :ivar id: Unique resource ID. :vartype id: str :ivar e_tag: The ETag value to implement optimistic concurrency. :vartype e_tag: str :param status: Status of the resource. :type status: str :ivar created_date_time: Date-time when resource was created, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar modified_date_time: Date-time when resource was last modified, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype modified_date_time: ~datetime.datetime :param name: Name to identify resource. :type name: str :param description: Textual description of the resource. :type description: str :param properties: A collection of key value pairs that belongs to the resource. Each pair must not have a key greater than 50 characters and must not have a value greater than 150 characters. Note: A maximum of 25 key value pairs can be provided for a resource and only string and numeral values are supported. :type properties: dict[str, any] """ _validation = { 'phenotype': {'max_length': 100, 'min_length': 0}, 'id': {'readonly': True}, 'e_tag': {'readonly': True}, 'status': {'max_length': 100, 'min_length': 0}, 'created_date_time': {'readonly': True}, 'modified_date_time': {'readonly': True}, 'name': {'max_length': 100, 'min_length': 0}, 'description': {'max_length': 500, 'min_length': 0}, } _attribute_map = { 'phenotype': {'key': 'phenotype', 'type': 'str'}, 'id': {'key': 'id', 'type': 'str'}, 'e_tag': {'key': 'eTag', 'type': 'str'}, 'status': {'key': 'status', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'modified_date_time': {'key': 'modifiedDateTime', 'type': 'iso-8601'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'properties': {'key': 'properties', 'type': '{object}'}, } def __init__( self, **kwargs ): super(Crop, self).__init__(**kwargs) self.phenotype = kwargs.get('phenotype', None) self.id = None self.e_tag = None self.status = kwargs.get('status', None) self.created_date_time = None self.modified_date_time = None self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.properties = kwargs.get('properties', None) class CropListResponse(msrest.serialization.Model): """Paged response contains list of requested objects and a URL link to get the next set of results. :param value: List of requested objects. :type value: list[~azure.agrifood.farming.models.Crop] :param skip_token: Token used in retrieving the next page. If null, there are no additional pages. :type skip_token: str :param next_link: Continuation link (absolute URI) to the next page of results in the list. :type next_link: str """ _attribute_map = { 'value': {'key': 'value', 'type': '[Crop]'}, 'skip_token': {'key': '$skipToken', 'type': 'str'}, 'next_link': {'key': 'nextLink', 'type': 'str'}, } def __init__( self, **kwargs ): super(CropListResponse, self).__init__(**kwargs) self.value = kwargs.get('value', None) self.skip_token = kwargs.get('skip_token', None) self.next_link = kwargs.get('next_link', None) class CropVariety(msrest.serialization.Model): """Schema of crop variety resource. Variables are only populated by the server, and will be ignored when sending a request. :ivar crop_id: ID of the crop it belongs to. :vartype crop_id: str :param brand: CropVariety Brand. :type brand: str :param product: CropVariety product. :type product: str :ivar id: Unique resource ID. :vartype id: str :ivar e_tag: The ETag value to implement optimistic concurrency. :vartype e_tag: str :param status: Status of the resource. :type status: str :ivar created_date_time: Date-time when resource was created, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar modified_date_time: Date-time when resource was last modified, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype modified_date_time: ~datetime.datetime :param name: Name to identify resource. :type name: str :param description: Textual description of the resource. :type description: str :param properties: A collection of key value pairs that belongs to the resource. Each pair must not have a key greater than 50 characters and must not have a value greater than 150 characters. Note: A maximum of 25 key value pairs can be provided for a resource and only string and numeral values are supported. :type properties: dict[str, any] """ _validation = { 'crop_id': {'readonly': True}, 'brand': {'max_length': 100, 'min_length': 0}, 'product': {'max_length': 100, 'min_length': 0}, 'id': {'readonly': True}, 'e_tag': {'readonly': True}, 'status': {'max_length': 100, 'min_length': 0}, 'created_date_time': {'readonly': True}, 'modified_date_time': {'readonly': True}, 'name': {'max_length': 100, 'min_length': 0}, 'description': {'max_length': 500, 'min_length': 0}, } _attribute_map = { 'crop_id': {'key': 'cropId', 'type': 'str'}, 'brand': {'key': 'brand', 'type': 'str'}, 'product': {'key': 'product', 'type': 'str'}, 'id': {'key': 'id', 'type': 'str'}, 'e_tag': {'key': 'eTag', 'type': 'str'}, 'status': {'key': 'status', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'modified_date_time': {'key': 'modifiedDateTime', 'type': 'iso-8601'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'properties': {'key': 'properties', 'type': '{object}'}, } def __init__( self, **kwargs ): super(CropVariety, self).__init__(**kwargs) self.crop_id = None self.brand = kwargs.get('brand', None) self.product = kwargs.get('product', None) self.id = None self.e_tag = None self.status = kwargs.get('status', None) self.created_date_time = None self.modified_date_time = None self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.properties = kwargs.get('properties', None) class CropVarietyListResponse(msrest.serialization.Model): """Paged response contains list of requested objects and a URL link to get the next set of results. :param value: List of requested objects. :type value: list[~azure.agrifood.farming.models.CropVariety] :param skip_token: Token used in retrieving the next page. If null, there are no additional pages. :type skip_token: str :param next_link: Continuation link (absolute URI) to the next page of results in the list. :type next_link: str """ _attribute_map = { 'value': {'key': 'value', 'type': '[CropVariety]'}, 'skip_token': {'key': '$skipToken', 'type': 'str'}, 'next_link': {'key': 'nextLink', 'type': 'str'}, } def __init__( self, **kwargs ): super(CropVarietyListResponse, self).__init__(**kwargs) self.value = kwargs.get('value', None) self.skip_token = kwargs.get('skip_token', None) self.next_link = kwargs.get('next_link', None) class Error(msrest.serialization.Model): """An error from the Azure AgPlatform service. :param code: Server-defined set of error codes. :type code: str :param message: Human-readable representation of the error. :type message: str :param target: Target of the error. :type target: str :param details: Array of details about specific errors that led to this reported error. :type details: list[~azure.agrifood.farming.models.Error] :param innererror: Inner error containing list of errors. :code:`<see href="https://github.com/Microsoft/api-guidelines/blob/vNext/Guidelines.md#innererror--object">InnerError reference document</see>`. :type innererror: ~azure.agrifood.farming.models.InnerError """ _attribute_map = { 'code': {'key': 'code', 'type': 'str'}, 'message': {'key': 'message', 'type': 'str'}, 'target': {'key': 'target', 'type': 'str'}, 'details': {'key': 'details', 'type': '[Error]'}, 'innererror': {'key': 'innererror', 'type': 'InnerError'}, } def __init__( self, **kwargs ): super(Error, self).__init__(**kwargs) self.code = kwargs.get('code', None) self.message = kwargs.get('message', None) self.target = kwargs.get('target', None) self.details = kwargs.get('details', None) self.innererror = kwargs.get('innererror', None) class ErrorResponse(msrest.serialization.Model): """An error response from the Azure AgPlatform service. :code:`<see href="https://github.com/Microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses">ErrorResponse reference document.</see>`. :param error: An error from the Azure AgPlatform service. :type error: ~azure.agrifood.farming.models.Error :param trace_id: Unique trace ID. :type trace_id: str """ _attribute_map = { 'error': {'key': 'error', 'type': 'Error'}, 'trace_id': {'key': 'traceId', 'type': 'str'}, } def __init__( self, **kwargs ): super(ErrorResponse, self).__init__(**kwargs) self.error = kwargs.get('error', None) self.trace_id = kwargs.get('trace_id', None) class Farm(msrest.serialization.Model): """Schema of farm resource. Variables are only populated by the server, and will be ignored when sending a request. :ivar farmer_id: Farmer ID. :vartype farmer_id: str :ivar id: Unique resource ID. :vartype id: str :ivar e_tag: The ETag value to implement optimistic concurrency. :vartype e_tag: str :param status: Status of the resource. :type status: str :ivar created_date_time: Date-time when resource was created, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar modified_date_time: Date-time when resource was last modified, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype modified_date_time: ~datetime.datetime :param name: Name to identify resource. :type name: str :param description: Textual description of the resource. :type description: str :param properties: A collection of key value pairs that belongs to the resource. Each pair must not have a key greater than 50 characters and must not have a value greater than 150 characters. Note: A maximum of 25 key value pairs can be provided for a resource and only string and numeral values are supported. :type properties: dict[str, any] """ _validation = { 'farmer_id': {'readonly': True}, 'id': {'readonly': True}, 'e_tag': {'readonly': True}, 'status': {'max_length': 100, 'min_length': 0}, 'created_date_time': {'readonly': True}, 'modified_date_time': {'readonly': True}, 'name': {'max_length': 100, 'min_length': 0}, 'description': {'max_length': 500, 'min_length': 0}, } _attribute_map = { 'farmer_id': {'key': 'farmerId', 'type': 'str'}, 'id': {'key': 'id', 'type': 'str'}, 'e_tag': {'key': 'eTag', 'type': 'str'}, 'status': {'key': 'status', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'modified_date_time': {'key': 'modifiedDateTime', 'type': 'iso-8601'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'properties': {'key': 'properties', 'type': '{object}'}, } def __init__( self, **kwargs ): super(Farm, self).__init__(**kwargs) self.farmer_id = None self.id = None self.e_tag = None self.status = kwargs.get('status', None) self.created_date_time = None self.modified_date_time = None self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.properties = kwargs.get('properties', None) class Farmer(msrest.serialization.Model): """Schema of farmer resource. Variables are only populated by the server, and will be ignored when sending a request. :ivar id: Unique resource ID. :vartype id: str :ivar e_tag: The ETag value to implement optimistic concurrency. :vartype e_tag: str :param status: Status of the resource. :type status: str :ivar created_date_time: Date-time when resource was created, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar modified_date_time: Date-time when resource was last modified, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype modified_date_time: ~datetime.datetime :param name: Name to identify resource. :type name: str :param description: Textual description of the resource. :type description: str :param properties: A collection of key value pairs that belongs to the resource. Each pair must not have a key greater than 50 characters and must not have a value greater than 150 characters. Note: A maximum of 25 key value pairs can be provided for a resource and only string and numeral values are supported. :type properties: dict[str, any] """ _validation = { 'id': {'readonly': True}, 'e_tag': {'readonly': True}, 'status': {'max_length': 100, 'min_length': 0}, 'created_date_time': {'readonly': True}, 'modified_date_time': {'readonly': True}, 'name': {'max_length': 100, 'min_length': 0}, 'description': {'max_length': 500, 'min_length': 0}, } _attribute_map = { 'id': {'key': 'id', 'type': 'str'}, 'e_tag': {'key': 'eTag', 'type': 'str'}, 'status': {'key': 'status', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'modified_date_time': {'key': 'modifiedDateTime', 'type': 'iso-8601'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'properties': {'key': 'properties', 'type': '{object}'}, } def __init__( self, **kwargs ): super(Farmer, self).__init__(**kwargs) self.id = None self.e_tag = None self.status = kwargs.get('status', None) self.created_date_time = None self.modified_date_time = None self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.properties = kwargs.get('properties', None) class FarmerListResponse(msrest.serialization.Model): """Paged response contains list of requested objects and a URL link to get the next set of results. :param value: List of requested objects. :type value: list[~azure.agrifood.farming.models.Farmer] :param skip_token: Token used in retrieving the next page. If null, there are no additional pages. :type skip_token: str :param next_link: Continuation link (absolute URI) to the next page of results in the list. :type next_link: str """ _attribute_map = { 'value': {'key': 'value', 'type': '[Farmer]'}, 'skip_token': {'key': '$skipToken', 'type': 'str'}, 'next_link': {'key': 'nextLink', 'type': 'str'}, } def __init__( self, **kwargs ): super(FarmerListResponse, self).__init__(**kwargs) self.value = kwargs.get('value', None) self.skip_token = kwargs.get('skip_token', None) self.next_link = kwargs.get('next_link', None) class FarmListResponse(msrest.serialization.Model): """Paged response contains list of requested objects and a URL link to get the next set of results. :param value: List of requested objects. :type value: list[~azure.agrifood.farming.models.Farm] :param skip_token: Token used in retrieving the next page. If null, there are no additional pages. :type skip_token: str :param next_link: Continuation link (absolute URI) to the next page of results in the list. :type next_link: str """ _attribute_map = { 'value': {'key': 'value', 'type': '[Farm]'}, 'skip_token': {'key': '$skipToken', 'type': 'str'}, 'next_link': {'key': 'nextLink', 'type': 'str'}, } def __init__( self, **kwargs ): super(FarmListResponse, self).__init__(**kwargs) self.value = kwargs.get('value', None) self.skip_token = kwargs.get('skip_token', None) self.next_link = kwargs.get('next_link', None) class FarmOperationDataIngestionJob(msrest.serialization.Model): """Schema of farm operation data ingestion job. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :param farmer_id: Required. Farmer ID. :type farmer_id: str :param auth_provider_id: Required. Authentication provider ID. :type auth_provider_id: str :param operations: List of operation types for which data needs to be downloaded. Available values: AllOperations, Application, Planting, Harvest, Tillage. :type operations: list[str] :param start_year: Required. Start Year (Minimum = 2000, Maximum = CurrentYear). :type start_year: int :ivar id: Unique job id. :vartype id: str :ivar status: Status of the job. Possible values: 'Waiting', 'Running', 'Succeeded', 'Failed', 'Cancelled'. :vartype status: str :ivar duration_in_seconds: Duration of the job in seconds. :vartype duration_in_seconds: float :ivar message: Status message to capture more details of the job. :vartype message: str :ivar created_date_time: Job created at dateTime. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar last_action_date_time: Job was last acted upon at dateTime. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype last_action_date_time: ~datetime.datetime :ivar start_time: Job start time when available. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype start_time: ~datetime.datetime :ivar end_time: Job end time when available. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype end_time: ~datetime.datetime :param name: Name to identify resource. :type name: str :param description: Textual description of the resource. :type description: str :param properties: A collection of key value pairs that belongs to the resource. Each pair must not have a key greater than 50 characters and must not have a value greater than 150 characters. Note: A maximum of 25 key value pairs can be provided for a resource and only string and numeral values are supported. :type properties: dict[str, any] """ _validation = { 'farmer_id': {'required': True}, 'auth_provider_id': {'required': True}, 'start_year': {'required': True}, 'id': {'readonly': True}, 'status': {'readonly': True}, 'duration_in_seconds': {'readonly': True}, 'message': {'readonly': True}, 'created_date_time': {'readonly': True}, 'last_action_date_time': {'readonly': True}, 'start_time': {'readonly': True}, 'end_time': {'readonly': True}, 'name': {'max_length': 100, 'min_length': 0}, 'description': {'max_length': 500, 'min_length': 0}, } _attribute_map = { 'farmer_id': {'key': 'farmerId', 'type': 'str'}, 'auth_provider_id': {'key': 'authProviderId', 'type': 'str'}, 'operations': {'key': 'operations', 'type': '[str]'}, 'start_year': {'key': 'startYear', 'type': 'int'}, 'id': {'key': 'id', 'type': 'str'}, 'status': {'key': 'status', 'type': 'str'}, 'duration_in_seconds': {'key': 'durationInSeconds', 'type': 'float'}, 'message': {'key': 'message', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'last_action_date_time': {'key': 'lastActionDateTime', 'type': 'iso-8601'}, 'start_time': {'key': 'startTime', 'type': 'iso-8601'}, 'end_time': {'key': 'endTime', 'type': 'iso-8601'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'properties': {'key': 'properties', 'type': '{object}'}, } def __init__( self, **kwargs ): super(FarmOperationDataIngestionJob, self).__init__(**kwargs) self.farmer_id = kwargs['farmer_id'] self.auth_provider_id = kwargs['auth_provider_id'] self.operations = kwargs.get('operations', None) self.start_year = kwargs['start_year'] self.id = None self.status = None self.duration_in_seconds = None self.message = None self.created_date_time = None self.last_action_date_time = None self.start_time = None self.end_time = None self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.properties = kwargs.get('properties', None) class Field(msrest.serialization.Model): """Schema of field resource. Variables are only populated by the server, and will be ignored when sending a request. :param farm_id: ID of the associated Farm. :type farm_id: str :ivar farmer_id: Farmer ID. :vartype farmer_id: str :ivar primary_boundary_id: Primary boundary id. :vartype primary_boundary_id: str :ivar boundary_ids: Boundary Ids. :vartype boundary_ids: list[str] :ivar id: Unique resource ID. :vartype id: str :ivar e_tag: The ETag value to implement optimistic concurrency. :vartype e_tag: str :param status: Status of the resource. :type status: str :ivar created_date_time: Date-time when resource was created, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar modified_date_time: Date-time when resource was last modified, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype modified_date_time: ~datetime.datetime :param name: Name to identify resource. :type name: str :param description: Textual description of the resource. :type description: str :param properties: A collection of key value pairs that belongs to the resource. Each pair must not have a key greater than 50 characters and must not have a value greater than 150 characters. Note: A maximum of 25 key value pairs can be provided for a resource and only string and numeral values are supported. :type properties: dict[str, any] """ _validation = { 'farmer_id': {'readonly': True}, 'primary_boundary_id': {'readonly': True}, 'boundary_ids': {'readonly': True, 'unique': True}, 'id': {'readonly': True}, 'e_tag': {'readonly': True}, 'status': {'max_length': 100, 'min_length': 0}, 'created_date_time': {'readonly': True}, 'modified_date_time': {'readonly': True}, 'name': {'max_length': 100, 'min_length': 0}, 'description': {'max_length': 500, 'min_length': 0}, } _attribute_map = { 'farm_id': {'key': 'farmId', 'type': 'str'}, 'farmer_id': {'key': 'farmerId', 'type': 'str'}, 'primary_boundary_id': {'key': 'primaryBoundaryId', 'type': 'str'}, 'boundary_ids': {'key': 'boundaryIds', 'type': '[str]'}, 'id': {'key': 'id', 'type': 'str'}, 'e_tag': {'key': 'eTag', 'type': 'str'}, 'status': {'key': 'status', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'modified_date_time': {'key': 'modifiedDateTime', 'type': 'iso-8601'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'properties': {'key': 'properties', 'type': '{object}'}, } def __init__( self, **kwargs ): super(Field, self).__init__(**kwargs) self.farm_id = kwargs.get('farm_id', None) self.farmer_id = None self.primary_boundary_id = None self.boundary_ids = None self.id = None self.e_tag = None self.status = kwargs.get('status', None) self.created_date_time = None self.modified_date_time = None self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.properties = kwargs.get('properties', None) class FieldListResponse(msrest.serialization.Model): """Paged response contains list of requested objects and a URL link to get the next set of results. :param value: List of requested objects. :type value: list[~azure.agrifood.farming.models.Field] :param skip_token: Token used in retrieving the next page. If null, there are no additional pages. :type skip_token: str :param next_link: Continuation link (absolute URI) to the next page of results in the list. :type next_link: str """ _attribute_map = { 'value': {'key': 'value', 'type': '[Field]'}, 'skip_token': {'key': '$skipToken', 'type': 'str'}, 'next_link': {'key': 'nextLink', 'type': 'str'}, } def __init__( self, **kwargs ): super(FieldListResponse, self).__init__(**kwargs) self.value = kwargs.get('value', None) self.skip_token = kwargs.get('skip_token', None) self.next_link = kwargs.get('next_link', None) class GeoJsonObject(msrest.serialization.Model): """GeoJSON abstract class. You probably want to use the sub-classes and not this class directly. Known sub-classes are: MultiPolygon, Point, Polygon. All required parameters must be populated in order to send to Azure. :param type: Required. GeoJSON object type.Constant filled by server. Possible values include: "Point", "Polygon", "MultiPolygon". :type type: str or ~azure.agrifood.farming.models.GeoJsonObjectType """ _validation = { 'type': {'required': True}, } _attribute_map = { 'type': {'key': 'type', 'type': 'str'}, } _subtype_map = { 'type': {'MultiPolygon': 'MultiPolygon', 'Point': 'Point', 'Polygon': 'Polygon'} } def __init__( self, **kwargs ): super(GeoJsonObject, self).__init__(**kwargs) self.type = None # type: Optional[str] class HarvestData(msrest.serialization.Model): """Schema of harvest data resource. Variables are only populated by the server, and will be ignored when sending a request. :param total_yield: Schema for storing measurement reading and unit. :type total_yield: ~azure.agrifood.farming.models.Measure :param avg_yield: Schema for storing measurement reading and unit. :type avg_yield: ~azure.agrifood.farming.models.Measure :param total_wet_mass: Schema for storing measurement reading and unit. :type total_wet_mass: ~azure.agrifood.farming.models.Measure :param avg_wet_mass: Schema for storing measurement reading and unit. :type avg_wet_mass: ~azure.agrifood.farming.models.Measure :param avg_moisture: Schema for storing measurement reading and unit. :type avg_moisture: ~azure.agrifood.farming.models.Measure :param avg_speed: Schema for storing measurement reading and unit. :type avg_speed: ~azure.agrifood.farming.models.Measure :param harvest_product_details: Harvest product details. :type harvest_product_details: list[~azure.agrifood.farming.models.HarvestProductDetail] :param area: Schema for storing measurement reading and unit. :type area: ~azure.agrifood.farming.models.Measure :param source: Source of the operation data. :type source: str :param operation_modified_date_time: Modified date-time of the operation data, sample format: yyyy-MM-ddTHH:mm:ssZ. Note: this will be specified by the source provider itself. :type operation_modified_date_time: ~datetime.datetime :param operation_start_date_time: Start date-time of the operation data, sample format: yyyy-MM-ddTHH:mm:ssZ. :type operation_start_date_time: ~datetime.datetime :param operation_end_date_time: End date-time of the operation data, sample format: yyyy-MM-ddTHH:mm:ssZ. :type operation_end_date_time: ~datetime.datetime :ivar attachments_link: Link for attachments. :vartype attachments_link: str :param associated_boundary_id: Optional boundary ID of the field for which operation was applied. :type associated_boundary_id: str :param operation_boundary_id: Optional boundary ID of the actual area for which operation was applied inside the specified field. :type operation_boundary_id: str :ivar farmer_id: Farmer ID which belongs to the operation data. :vartype farmer_id: str :ivar id: Unique resource ID. :vartype id: str :ivar e_tag: The ETag value to implement optimistic concurrency. :vartype e_tag: str :param status: Status of the resource. :type status: str :ivar created_date_time: Date-time when resource was created, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar modified_date_time: Date-time when resource was last modified, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype modified_date_time: ~datetime.datetime :param name: Name to identify resource. :type name: str :param description: Textual description of the resource. :type description: str :param properties: A collection of key value pairs that belongs to the resource. Each pair must not have a key greater than 50 characters and must not have a value greater than 150 characters. Note: A maximum of 25 key value pairs can be provided for a resource and only string and numeral values are supported. :type properties: dict[str, any] """ _validation = { 'source': {'max_length': 100, 'min_length': 2}, 'attachments_link': {'readonly': True}, 'farmer_id': {'readonly': True}, 'id': {'readonly': True}, 'e_tag': {'readonly': True}, 'status': {'max_length': 100, 'min_length': 0}, 'created_date_time': {'readonly': True}, 'modified_date_time': {'readonly': True}, 'name': {'max_length': 100, 'min_length': 0}, 'description': {'max_length': 500, 'min_length': 0}, } _attribute_map = { 'total_yield': {'key': 'totalYield', 'type': 'Measure'}, 'avg_yield': {'key': 'avgYield', 'type': 'Measure'}, 'total_wet_mass': {'key': 'totalWetMass', 'type': 'Measure'}, 'avg_wet_mass': {'key': 'avgWetMass', 'type': 'Measure'}, 'avg_moisture': {'key': 'avgMoisture', 'type': 'Measure'}, 'avg_speed': {'key': 'avgSpeed', 'type': 'Measure'}, 'harvest_product_details': {'key': 'harvestProductDetails', 'type': '[HarvestProductDetail]'}, 'area': {'key': 'area', 'type': 'Measure'}, 'source': {'key': 'source', 'type': 'str'}, 'operation_modified_date_time': {'key': 'operationModifiedDateTime', 'type': 'iso-8601'}, 'operation_start_date_time': {'key': 'operationStartDateTime', 'type': 'iso-8601'}, 'operation_end_date_time': {'key': 'operationEndDateTime', 'type': 'iso-8601'}, 'attachments_link': {'key': 'attachmentsLink', 'type': 'str'}, 'associated_boundary_id': {'key': 'associatedBoundaryId', 'type': 'str'}, 'operation_boundary_id': {'key': 'operationBoundaryId', 'type': 'str'}, 'farmer_id': {'key': 'farmerId', 'type': 'str'}, 'id': {'key': 'id', 'type': 'str'}, 'e_tag': {'key': 'eTag', 'type': 'str'}, 'status': {'key': 'status', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'modified_date_time': {'key': 'modifiedDateTime', 'type': 'iso-8601'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'properties': {'key': 'properties', 'type': '{object}'}, } def __init__( self, **kwargs ): super(HarvestData, self).__init__(**kwargs) self.total_yield = kwargs.get('total_yield', None) self.avg_yield = kwargs.get('avg_yield', None) self.total_wet_mass = kwargs.get('total_wet_mass', None) self.avg_wet_mass = kwargs.get('avg_wet_mass', None) self.avg_moisture = kwargs.get('avg_moisture', None) self.avg_speed = kwargs.get('avg_speed', None) self.harvest_product_details = kwargs.get('harvest_product_details', None) self.area = kwargs.get('area', None) self.source = kwargs.get('source', None) self.operation_modified_date_time = kwargs.get('operation_modified_date_time', None) self.operation_start_date_time = kwargs.get('operation_start_date_time', None) self.operation_end_date_time = kwargs.get('operation_end_date_time', None) self.attachments_link = None self.associated_boundary_id = kwargs.get('associated_boundary_id', None) self.operation_boundary_id = kwargs.get('operation_boundary_id', None) self.farmer_id = None self.id = None self.e_tag = None self.status = kwargs.get('status', None) self.created_date_time = None self.modified_date_time = None self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.properties = kwargs.get('properties', None) class HarvestDataListResponse(msrest.serialization.Model): """Paged response contains list of requested objects and a URL link to get the next set of results. :param value: List of requested objects. :type value: list[~azure.agrifood.farming.models.HarvestData] :param skip_token: Token used in retrieving the next page. If null, there are no additional pages. :type skip_token: str :param next_link: Continuation link (absolute URI) to the next page of results in the list. :type next_link: str """ _attribute_map = { 'value': {'key': 'value', 'type': '[HarvestData]'}, 'skip_token': {'key': '$skipToken', 'type': 'str'}, 'next_link': {'key': 'nextLink', 'type': 'str'}, } def __init__( self, **kwargs ): super(HarvestDataListResponse, self).__init__(**kwargs) self.value = kwargs.get('value', None) self.skip_token = kwargs.get('skip_token', None) self.next_link = kwargs.get('next_link', None) class HarvestProductDetail(msrest.serialization.Model): """Schema of product used during harvesting. :param product_name: Name of the product. :type product_name: str :param area: Schema for storing measurement reading and unit. :type area: ~azure.agrifood.farming.models.Measure :param total_yield: Schema for storing measurement reading and unit. :type total_yield: ~azure.agrifood.farming.models.Measure :param avg_yield: Schema for storing measurement reading and unit. :type avg_yield: ~azure.agrifood.farming.models.Measure :param avg_moisture: Schema for storing measurement reading and unit. :type avg_moisture: ~azure.agrifood.farming.models.Measure :param total_wet_mass: Schema for storing measurement reading and unit. :type total_wet_mass: ~azure.agrifood.farming.models.Measure :param avg_wet_mass: Schema for storing measurement reading and unit. :type avg_wet_mass: ~azure.agrifood.farming.models.Measure """ _validation = { 'product_name': {'max_length': 100, 'min_length': 1}, } _attribute_map = { 'product_name': {'key': 'productName', 'type': 'str'}, 'area': {'key': 'area', 'type': 'Measure'}, 'total_yield': {'key': 'totalYield', 'type': 'Measure'}, 'avg_yield': {'key': 'avgYield', 'type': 'Measure'}, 'avg_moisture': {'key': 'avgMoisture', 'type': 'Measure'}, 'total_wet_mass': {'key': 'totalWetMass', 'type': 'Measure'}, 'avg_wet_mass': {'key': 'avgWetMass', 'type': 'Measure'}, } def __init__( self, **kwargs ): super(HarvestProductDetail, self).__init__(**kwargs) self.product_name = kwargs.get('product_name', None) self.area = kwargs.get('area', None) self.total_yield = kwargs.get('total_yield', None) self.avg_yield = kwargs.get('avg_yield', None) self.avg_moisture = kwargs.get('avg_moisture', None) self.total_wet_mass = kwargs.get('total_wet_mass', None) self.avg_wet_mass = kwargs.get('avg_wet_mass', None) class ImageFile(msrest.serialization.Model): """Schema of image file resource. All required parameters must be populated in order to send to Azure. :param file_link: Link of the image file. :type file_link: str :param name: Required. Name of the image file. :type name: str :param image_format: Supported image formats for scene resource. Possible values include: "TIF". :type image_format: str or ~azure.agrifood.farming.models.ImageFormat :param resolution: Resolution of image file in meters. :type resolution: float """ _validation = { 'name': {'required': True}, } _attribute_map = { 'file_link': {'key': 'fileLink', 'type': 'str'}, 'name': {'key': 'name', 'type': 'str'}, 'image_format': {'key': 'imageFormat', 'type': 'str'}, 'resolution': {'key': 'resolution', 'type': 'float'}, } def __init__( self, **kwargs ): super(ImageFile, self).__init__(**kwargs) self.file_link = kwargs.get('file_link', None) self.name = kwargs['name'] self.image_format = kwargs.get('image_format', None) self.resolution = kwargs.get('resolution', None) class ImageProcessingRasterizeJob(msrest.serialization.Model): """ImageProcessingRasterizeJob. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :param farmer_id: Required. Farmer ID. :type farmer_id: str :param shapefile_attachment_id: Required. Shapefile attachment ID. :type shapefile_attachment_id: str :param shapefile_column_names: Required. List of shapefile column names to create raster attachments. :type shapefile_column_names: list[str] :ivar id: Unique job id. :vartype id: str :ivar status: Status of the job. Possible values: 'Waiting', 'Running', 'Succeeded', 'Failed', 'Cancelled'. :vartype status: str :ivar duration_in_seconds: Duration of the job in seconds. :vartype duration_in_seconds: float :ivar message: Status message to capture more details of the job. :vartype message: str :ivar created_date_time: Job created at dateTime. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar last_action_date_time: Job was last acted upon at dateTime. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype last_action_date_time: ~datetime.datetime :ivar start_time: Job start time when available. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype start_time: ~datetime.datetime :ivar end_time: Job end time when available. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype end_time: ~datetime.datetime :param name: Name to identify resource. :type name: str :param description: Textual description of the resource. :type description: str :param properties: A collection of key value pairs that belongs to the resource. Each pair must not have a key greater than 50 characters and must not have a value greater than 150 characters. Note: A maximum of 25 key value pairs can be provided for a resource and only string and numeral values are supported. :type properties: dict[str, any] """ _validation = { 'farmer_id': {'required': True}, 'shapefile_attachment_id': {'required': True}, 'shapefile_column_names': {'required': True}, 'id': {'readonly': True}, 'status': {'readonly': True}, 'duration_in_seconds': {'readonly': True}, 'message': {'readonly': True}, 'created_date_time': {'readonly': True}, 'last_action_date_time': {'readonly': True}, 'start_time': {'readonly': True}, 'end_time': {'readonly': True}, 'name': {'max_length': 100, 'min_length': 0}, 'description': {'max_length': 500, 'min_length': 0}, } _attribute_map = { 'farmer_id': {'key': 'farmerId', 'type': 'str'}, 'shapefile_attachment_id': {'key': 'shapefileAttachmentId', 'type': 'str'}, 'shapefile_column_names': {'key': 'shapefileColumnNames', 'type': '[str]'}, 'id': {'key': 'id', 'type': 'str'}, 'status': {'key': 'status', 'type': 'str'}, 'duration_in_seconds': {'key': 'durationInSeconds', 'type': 'float'}, 'message': {'key': 'message', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'last_action_date_time': {'key': 'lastActionDateTime', 'type': 'iso-8601'}, 'start_time': {'key': 'startTime', 'type': 'iso-8601'}, 'end_time': {'key': 'endTime', 'type': 'iso-8601'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'properties': {'key': 'properties', 'type': '{object}'}, } def __init__( self, **kwargs ): super(ImageProcessingRasterizeJob, self).__init__(**kwargs) self.farmer_id = kwargs['farmer_id'] self.shapefile_attachment_id = kwargs['shapefile_attachment_id'] self.shapefile_column_names = kwargs['shapefile_column_names'] self.id = None self.status = None self.duration_in_seconds = None self.message = None self.created_date_time = None self.last_action_date_time = None self.start_time = None self.end_time = None self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.properties = kwargs.get('properties', None) class InnerError(msrest.serialization.Model): """Inner error containing list of errors. :code:`<see href="https://github.com/Microsoft/api-guidelines/blob/vNext/Guidelines.md#innererror--object">InnerError reference document</see>`. :param additional_properties: Unmatched properties from the message are deserialized to this collection. :type additional_properties: dict[str, any] :param code: Specific error code than was provided by the containing error. :type code: str :param innererror: Inner error containing list of errors. :code:`<see href="https://github.com/Microsoft/api-guidelines/blob/vNext/Guidelines.md#innererror--object">InnerError reference document</see>`. :type innererror: ~azure.agrifood.farming.models.InnerError """ _attribute_map = { 'additional_properties': {'key': '', 'type': '{object}'}, 'code': {'key': 'code', 'type': 'str'}, 'innererror': {'key': 'innererror', 'type': 'InnerError'}, } def __init__( self, **kwargs ): super(InnerError, self).__init__(**kwargs) self.additional_properties = kwargs.get('additional_properties', None) self.code = kwargs.get('code', None) self.innererror = kwargs.get('innererror', None) class Location(msrest.serialization.Model): """Location model class. All required parameters must be populated in order to send to Azure. :param latitude: Required. Latitude of the location. :type latitude: float :param longitude: Required. Longitude of the location. :type longitude: float """ _validation = { 'latitude': {'required': True, 'maximum': 90, 'minimum': -90}, 'longitude': {'required': True, 'maximum': 180, 'minimum': -180}, } _attribute_map = { 'latitude': {'key': 'latitude', 'type': 'float'}, 'longitude': {'key': 'longitude', 'type': 'float'}, } def __init__( self, **kwargs ): super(Location, self).__init__(**kwargs) self.latitude = kwargs['latitude'] self.longitude = kwargs['longitude'] class Measure(msrest.serialization.Model): """Schema for storing measurement reading and unit. :param unit: Data unit. :type unit: str :param value: Data value. :type value: float """ _validation = { 'unit': {'max_length': 50, 'min_length': 1}, } _attribute_map = { 'unit': {'key': 'unit', 'type': 'str'}, 'value': {'key': 'value', 'type': 'float'}, } def __init__( self, **kwargs ): super(Measure, self).__init__(**kwargs) self.unit = kwargs.get('unit', None) self.value = kwargs.get('value', None) class MultiPolygonCoordinates(msrest.serialization.Model): """Schema of multi polygon coordinates. All required parameters must be populated in order to send to Azure. :param coordinates: Required. Gets or sets Coordinates of GeoJSON Object. It must be an array of polygons, each polygon contains list of linear rings. For Polygons with more than one of these rings, the first MUST be the exterior ring, and any others MUST be interior rings. :type coordinates: list[list[list[list[float]]]] """ _validation = { 'coordinates': {'required': True}, } _attribute_map = { 'coordinates': {'key': 'coordinates', 'type': '[[[[float]]]]'}, } def __init__( self, **kwargs ): super(MultiPolygonCoordinates, self).__init__(**kwargs) self.coordinates = kwargs['coordinates'] class MultiPolygon(GeoJsonObject, MultiPolygonCoordinates): """MultiPolygon geometry. All required parameters must be populated in order to send to Azure. :param coordinates: Required. Gets or sets Coordinates of GeoJSON Object. It must be an array of polygons, each polygon contains list of linear rings. For Polygons with more than one of these rings, the first MUST be the exterior ring, and any others MUST be interior rings. :type coordinates: list[list[list[list[float]]]] :param type: Required. GeoJSON object type.Constant filled by server. Possible values include: "Point", "Polygon", "MultiPolygon". :type type: str or ~azure.agrifood.farming.models.GeoJsonObjectType """ _validation = { 'coordinates': {'required': True}, 'type': {'required': True}, } _attribute_map = { 'coordinates': {'key': 'coordinates', 'type': '[[[[float]]]]'}, 'type': {'key': 'type', 'type': 'str'}, } def __init__( self, **kwargs ): super(MultiPolygon, self).__init__(**kwargs) self.coordinates = kwargs['coordinates'] self.type = 'MultiPolygon' # type: str self.type = 'MultiPolygon' # type: str class OAuthConnectRequest(msrest.serialization.Model): """Get OAuth config query parameters. All required parameters must be populated in order to send to Azure. :param farmer_id: Required. ID of the farmer. :type farmer_id: str :param o_auth_provider_id: Required. ID of the OAuthProvider. :type o_auth_provider_id: str :param user_redirect_link: Required. Link to redirect the user to, at the end of the oauth flow. :type user_redirect_link: str :param user_redirect_state: State to provide back when redirecting the user, at the end of the oauth flow. :type user_redirect_state: str """ _validation = { 'farmer_id': {'required': True}, 'o_auth_provider_id': {'required': True}, 'user_redirect_link': {'required': True, 'max_length': 1000, 'min_length': 0}, 'user_redirect_state': {'max_length': 200, 'min_length': 0}, } _attribute_map = { 'farmer_id': {'key': 'farmerId', 'type': 'str'}, 'o_auth_provider_id': {'key': 'oAuthProviderId', 'type': 'str'}, 'user_redirect_link': {'key': 'userRedirectLink', 'type': 'str'}, 'user_redirect_state': {'key': 'userRedirectState', 'type': 'str'}, } def __init__( self, **kwargs ): super(OAuthConnectRequest, self).__init__(**kwargs) self.farmer_id = kwargs['farmer_id'] self.o_auth_provider_id = kwargs['o_auth_provider_id'] self.user_redirect_link = kwargs['user_redirect_link'] self.user_redirect_state = kwargs.get('user_redirect_state', None) class OAuthProvider(msrest.serialization.Model): """Schema of OAuth provider resource. Variables are only populated by the server, and will be ignored when sending a request. :param app_id: OAuth App ID for given OAuth Provider. :type app_id: str :param app_secret: OAuth App secret for given Provider. Note: Won't be sent in response. :type app_secret: str :param api_key: OAuth Api key for given Provider. Note: currently Applicable to Climate provider. Won't be sent in response. :type api_key: str :param is_production_app: An optional flag to determine if the App is ready to be used for Production scenarios in the provider side or not. (Default value: false) Note: Currently applicable for JohnDeere. :type is_production_app: bool :ivar id: Unique OAuth provider ID. :vartype id: str :ivar e_tag: The ETag value to implement optimistic concurrency. :vartype e_tag: str :ivar created_date_time: Date-time when resource was created, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar modified_date_time: Date-time when resource was last modified, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype modified_date_time: ~datetime.datetime :param name: Name to identify resource. :type name: str :param description: Textual description of the resource. :type description: str :param properties: A collection of key value pairs that belongs to the resource. Each pair must not have a key greater than 50 characters and must not have a value greater than 150 characters. Note: A maximum of 25 key value pairs can be provided for a resource and only string and numeral values are supported. :type properties: dict[str, any] """ _validation = { 'app_id': {'max_length': 200, 'min_length': 2}, 'app_secret': {'max_length': 200, 'min_length': 2}, 'api_key': {'max_length': 200, 'min_length': 2}, 'id': {'readonly': True}, 'e_tag': {'readonly': True}, 'created_date_time': {'readonly': True}, 'modified_date_time': {'readonly': True}, 'name': {'max_length': 100, 'min_length': 0}, 'description': {'max_length': 500, 'min_length': 0}, } _attribute_map = { 'app_id': {'key': 'appId', 'type': 'str'}, 'app_secret': {'key': 'appSecret', 'type': 'str'}, 'api_key': {'key': 'apiKey', 'type': 'str'}, 'is_production_app': {'key': 'isProductionApp', 'type': 'bool'}, 'id': {'key': 'id', 'type': 'str'}, 'e_tag': {'key': 'eTag', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'modified_date_time': {'key': 'modifiedDateTime', 'type': 'iso-8601'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'properties': {'key': 'properties', 'type': '{object}'}, } def __init__( self, **kwargs ): super(OAuthProvider, self).__init__(**kwargs) self.app_id = kwargs.get('app_id', None) self.app_secret = kwargs.get('app_secret', None) self.api_key = kwargs.get('api_key', None) self.is_production_app = kwargs.get('is_production_app', False) self.id = None self.e_tag = None self.created_date_time = None self.modified_date_time = None self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.properties = kwargs.get('properties', None) class OAuthProviderListResponse(msrest.serialization.Model): """Paged response contains list of requested objects and a URL link to get the next set of results. :param value: List of requested objects. :type value: list[~azure.agrifood.farming.models.OAuthProvider] :param skip_token: Token used in retrieving the next page. If null, there are no additional pages. :type skip_token: str :param next_link: Continuation link (absolute URI) to the next page of results in the list. :type next_link: str """ _attribute_map = { 'value': {'key': 'value', 'type': '[OAuthProvider]'}, 'skip_token': {'key': '$skipToken', 'type': 'str'}, 'next_link': {'key': 'nextLink', 'type': 'str'}, } def __init__( self, **kwargs ): super(OAuthProviderListResponse, self).__init__(**kwargs) self.value = kwargs.get('value', None) self.skip_token = kwargs.get('skip_token', None) self.next_link = kwargs.get('next_link', None) class OAuthToken(msrest.serialization.Model): """Schema of OAuth token resource. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :param farmer_id: Required. Farmer ID for this OAuth config. :type farmer_id: str :param auth_provider_id: Required. ID of the OAuth provider resource containing app information. :type auth_provider_id: str :param is_valid: An optional flag indicating whether the token is a valid or expired (Default value: true). :type is_valid: bool :ivar e_tag: The ETag value to implement optimistic concurrency. :vartype e_tag: str :ivar created_date_time: Date-time when resource was created, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar modified_date_time: Date-time when resource was last modified, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype modified_date_time: ~datetime.datetime """ _validation = { 'farmer_id': {'required': True}, 'auth_provider_id': {'required': True}, 'e_tag': {'readonly': True}, 'created_date_time': {'readonly': True}, 'modified_date_time': {'readonly': True}, } _attribute_map = { 'farmer_id': {'key': 'farmerId', 'type': 'str'}, 'auth_provider_id': {'key': 'authProviderId', 'type': 'str'}, 'is_valid': {'key': 'isValid', 'type': 'bool'}, 'e_tag': {'key': 'eTag', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'modified_date_time': {'key': 'modifiedDateTime', 'type': 'iso-8601'}, } def __init__( self, **kwargs ): super(OAuthToken, self).__init__(**kwargs) self.farmer_id = kwargs['farmer_id'] self.auth_provider_id = kwargs['auth_provider_id'] self.is_valid = kwargs.get('is_valid', True) self.e_tag = None self.created_date_time = None self.modified_date_time = None class OAuthTokenListResponse(msrest.serialization.Model): """Paged response contains list of requested objects and a URL link to get the next set of results. :param value: List of requested objects. :type value: list[~azure.agrifood.farming.models.OAuthToken] :param skip_token: Token used in retrieving the next page. If null, there are no additional pages. :type skip_token: str :param next_link: Continuation link (absolute URI) to the next page of results in the list. :type next_link: str """ _attribute_map = { 'value': {'key': 'value', 'type': '[OAuthToken]'}, 'skip_token': {'key': '$skipToken', 'type': 'str'}, 'next_link': {'key': 'nextLink', 'type': 'str'}, } def __init__( self, **kwargs ): super(OAuthTokenListResponse, self).__init__(**kwargs) self.value = kwargs.get('value', None) self.skip_token = kwargs.get('skip_token', None) self.next_link = kwargs.get('next_link', None) class Paths1LxjoxzFarmersFarmeridAttachmentsAttachmentidPatchRequestbodyContentMultipartFormDataSchema(msrest.serialization.Model): """Paths1LxjoxzFarmersFarmeridAttachmentsAttachmentidPatchRequestbodyContentMultipartFormDataSchema. :param file: File to be uploaded. :type file: IO :param farmer_id: Farmer id for this attachment. :type farmer_id: str :param resource_id: Associated Resource id for this attachment. :type resource_id: str :param resource_type: Associated Resource type for this attachment i.e. Farmer, Farm, Field, SeasonalField, Boundary, FarmOperationApplicationData, HarvestData, TillageData, PlantingData. :type resource_type: str :param original_file_name: Original File Name for this attachment. :type original_file_name: str :param id: Unique id. :type id: str :param status: Status of the resource. :type status: str :param created_date_time: Date when resource was created. :type created_date_time: str :param modified_date_time: Date when resource was last modified. :type modified_date_time: str :param name: Name to identify resource. :type name: str :param description: Textual description of resource. :type description: str :param e_tag: The ETag value to implement optimistic concurrency. :type e_tag: str """ _attribute_map = { 'file': {'key': 'file', 'type': 'IO'}, 'farmer_id': {'key': 'FarmerId', 'type': 'str'}, 'resource_id': {'key': 'ResourceId', 'type': 'str'}, 'resource_type': {'key': 'ResourceType', 'type': 'str'}, 'original_file_name': {'key': 'OriginalFileName', 'type': 'str'}, 'id': {'key': 'Id', 'type': 'str'}, 'status': {'key': 'Status', 'type': 'str'}, 'created_date_time': {'key': 'CreatedDateTime', 'type': 'str'}, 'modified_date_time': {'key': 'ModifiedDateTime', 'type': 'str'}, 'name': {'key': 'Name', 'type': 'str'}, 'description': {'key': 'Description', 'type': 'str'}, 'e_tag': {'key': 'ETag', 'type': 'str'}, } def __init__( self, **kwargs ): super(Paths1LxjoxzFarmersFarmeridAttachmentsAttachmentidPatchRequestbodyContentMultipartFormDataSchema, self).__init__(**kwargs) self.file = kwargs.get('file', None) self.farmer_id = kwargs.get('farmer_id', None) self.resource_id = kwargs.get('resource_id', None) self.resource_type = kwargs.get('resource_type', None) self.original_file_name = kwargs.get('original_file_name', None) self.id = kwargs.get('id', None) self.status = kwargs.get('status', None) self.created_date_time = kwargs.get('created_date_time', None) self.modified_date_time = kwargs.get('modified_date_time', None) self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.e_tag = kwargs.get('e_tag', None) class PlantingData(msrest.serialization.Model): """Schema of planting data resource. Variables are only populated by the server, and will be ignored when sending a request. :param avg_planting_rate: Schema for storing measurement reading and unit. :type avg_planting_rate: ~azure.agrifood.farming.models.Measure :param total_material: Schema for storing measurement reading and unit. :type total_material: ~azure.agrifood.farming.models.Measure :param avg_material: Schema for storing measurement reading and unit. :type avg_material: ~azure.agrifood.farming.models.Measure :param planting_product_details: Planting product details. :type planting_product_details: list[~azure.agrifood.farming.models.PlantingProductDetail] :param area: Schema for storing measurement reading and unit. :type area: ~azure.agrifood.farming.models.Measure :param source: Source of the operation data. :type source: str :param operation_modified_date_time: Modified date-time of the operation data, sample format: yyyy-MM-ddTHH:mm:ssZ. Note: this will be specified by the source provider itself. :type operation_modified_date_time: ~datetime.datetime :param operation_start_date_time: Start date-time of the operation data, sample format: yyyy-MM-ddTHH:mm:ssZ. :type operation_start_date_time: ~datetime.datetime :param operation_end_date_time: End date-time of the operation data, sample format: yyyy-MM-ddTHH:mm:ssZ. :type operation_end_date_time: ~datetime.datetime :ivar attachments_link: Link for attachments. :vartype attachments_link: str :param associated_boundary_id: Optional boundary ID of the field for which operation was applied. :type associated_boundary_id: str :param operation_boundary_id: Optional boundary ID of the actual area for which operation was applied inside the specified field. :type operation_boundary_id: str :ivar farmer_id: Farmer ID which belongs to the operation data. :vartype farmer_id: str :ivar id: Unique resource ID. :vartype id: str :ivar e_tag: The ETag value to implement optimistic concurrency. :vartype e_tag: str :param status: Status of the resource. :type status: str :ivar created_date_time: Date-time when resource was created, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar modified_date_time: Date-time when resource was last modified, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype modified_date_time: ~datetime.datetime :param name: Name to identify resource. :type name: str :param description: Textual description of the resource. :type description: str :param properties: A collection of key value pairs that belongs to the resource. Each pair must not have a key greater than 50 characters and must not have a value greater than 150 characters. Note: A maximum of 25 key value pairs can be provided for a resource and only string and numeral values are supported. :type properties: dict[str, any] """ _validation = { 'source': {'max_length': 100, 'min_length': 2}, 'attachments_link': {'readonly': True}, 'farmer_id': {'readonly': True}, 'id': {'readonly': True}, 'e_tag': {'readonly': True}, 'status': {'max_length': 100, 'min_length': 0}, 'created_date_time': {'readonly': True}, 'modified_date_time': {'readonly': True}, 'name': {'max_length': 100, 'min_length': 0}, 'description': {'max_length': 500, 'min_length': 0}, } _attribute_map = { 'avg_planting_rate': {'key': 'avgPlantingRate', 'type': 'Measure'}, 'total_material': {'key': 'totalMaterial', 'type': 'Measure'}, 'avg_material': {'key': 'avgMaterial', 'type': 'Measure'}, 'planting_product_details': {'key': 'plantingProductDetails', 'type': '[PlantingProductDetail]'}, 'area': {'key': 'area', 'type': 'Measure'}, 'source': {'key': 'source', 'type': 'str'}, 'operation_modified_date_time': {'key': 'operationModifiedDateTime', 'type': 'iso-8601'}, 'operation_start_date_time': {'key': 'operationStartDateTime', 'type': 'iso-8601'}, 'operation_end_date_time': {'key': 'operationEndDateTime', 'type': 'iso-8601'}, 'attachments_link': {'key': 'attachmentsLink', 'type': 'str'}, 'associated_boundary_id': {'key': 'associatedBoundaryId', 'type': 'str'}, 'operation_boundary_id': {'key': 'operationBoundaryId', 'type': 'str'}, 'farmer_id': {'key': 'farmerId', 'type': 'str'}, 'id': {'key': 'id', 'type': 'str'}, 'e_tag': {'key': 'eTag', 'type': 'str'}, 'status': {'key': 'status', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'modified_date_time': {'key': 'modifiedDateTime', 'type': 'iso-8601'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'properties': {'key': 'properties', 'type': '{object}'}, } def __init__( self, **kwargs ): super(PlantingData, self).__init__(**kwargs) self.avg_planting_rate = kwargs.get('avg_planting_rate', None) self.total_material = kwargs.get('total_material', None) self.avg_material = kwargs.get('avg_material', None) self.planting_product_details = kwargs.get('planting_product_details', None) self.area = kwargs.get('area', None) self.source = kwargs.get('source', None) self.operation_modified_date_time = kwargs.get('operation_modified_date_time', None) self.operation_start_date_time = kwargs.get('operation_start_date_time', None) self.operation_end_date_time = kwargs.get('operation_end_date_time', None) self.attachments_link = None self.associated_boundary_id = kwargs.get('associated_boundary_id', None) self.operation_boundary_id = kwargs.get('operation_boundary_id', None) self.farmer_id = None self.id = None self.e_tag = None self.status = kwargs.get('status', None) self.created_date_time = None self.modified_date_time = None self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.properties = kwargs.get('properties', None) class PlantingDataListResponse(msrest.serialization.Model): """Paged response contains list of requested objects and a URL link to get the next set of results. :param value: List of requested objects. :type value: list[~azure.agrifood.farming.models.PlantingData] :param skip_token: Token used in retrieving the next page. If null, there are no additional pages. :type skip_token: str :param next_link: Continuation link (absolute URI) to the next page of results in the list. :type next_link: str """ _attribute_map = { 'value': {'key': 'value', 'type': '[PlantingData]'}, 'skip_token': {'key': '$skipToken', 'type': 'str'}, 'next_link': {'key': 'nextLink', 'type': 'str'}, } def __init__( self, **kwargs ): super(PlantingDataListResponse, self).__init__(**kwargs) self.value = kwargs.get('value', None) self.skip_token = kwargs.get('skip_token', None) self.next_link = kwargs.get('next_link', None) class PlantingProductDetail(msrest.serialization.Model): """Schema for Planting product detail. :param product_name: Name of the product. :type product_name: str :param area: Schema for storing measurement reading and unit. :type area: ~azure.agrifood.farming.models.Measure :param total_material: Schema for storing measurement reading and unit. :type total_material: ~azure.agrifood.farming.models.Measure :param avg_material: Schema for storing measurement reading and unit. :type avg_material: ~azure.agrifood.farming.models.Measure """ _attribute_map = { 'product_name': {'key': 'productName', 'type': 'str'}, 'area': {'key': 'area', 'type': 'Measure'}, 'total_material': {'key': 'totalMaterial', 'type': 'Measure'}, 'avg_material': {'key': 'avgMaterial', 'type': 'Measure'}, } def __init__( self, **kwargs ): super(PlantingProductDetail, self).__init__(**kwargs) self.product_name = kwargs.get('product_name', None) self.area = kwargs.get('area', None) self.total_material = kwargs.get('total_material', None) self.avg_material = kwargs.get('avg_material', None) class PointCoordinates(msrest.serialization.Model): """Schema of the coordinates of a point. All required parameters must be populated in order to send to Azure. :param coordinates: Required. Gets or sets the coordinate of this point. It must be an array of 2 or 3 elements for a 2D or 3D system. :type coordinates: list[float] """ _validation = { 'coordinates': {'required': True}, } _attribute_map = { 'coordinates': {'key': 'coordinates', 'type': '[float]'}, } def __init__( self, **kwargs ): super(PointCoordinates, self).__init__(**kwargs) self.coordinates = kwargs['coordinates'] class Point(GeoJsonObject, PointCoordinates): """Point geometry. All required parameters must be populated in order to send to Azure. :param coordinates: Required. Gets or sets the coordinate of this point. It must be an array of 2 or 3 elements for a 2D or 3D system. :type coordinates: list[float] :param type: Required. GeoJSON object type.Constant filled by server. Possible values include: "Point", "Polygon", "MultiPolygon". :type type: str or ~azure.agrifood.farming.models.GeoJsonObjectType """ _validation = { 'coordinates': {'required': True}, 'type': {'required': True}, } _attribute_map = { 'coordinates': {'key': 'coordinates', 'type': '[float]'}, 'type': {'key': 'type', 'type': 'str'}, } def __init__( self, **kwargs ): super(Point, self).__init__(**kwargs) self.coordinates = kwargs['coordinates'] self.type = 'Point' # type: str self.type = 'Point' # type: str class PolygonCoordinates(msrest.serialization.Model): """Schema of polygon coordinates. All required parameters must be populated in order to send to Azure. :param coordinates: Required. Gets or sets type of the GeoJSON Object. It must be an array of linear ring coordinate arrays. For Polygons with more than one of these rings, the first MUST be the exterior ring, and any others MUST be interior rings. :type coordinates: list[list[list[float]]] """ _validation = { 'coordinates': {'required': True}, } _attribute_map = { 'coordinates': {'key': 'coordinates', 'type': '[[[float]]]'}, } def __init__( self, **kwargs ): super(PolygonCoordinates, self).__init__(**kwargs) self.coordinates = kwargs['coordinates'] class Polygon(GeoJsonObject, PolygonCoordinates): """Polygon geometry. All required parameters must be populated in order to send to Azure. :param coordinates: Required. Gets or sets type of the GeoJSON Object. It must be an array of linear ring coordinate arrays. For Polygons with more than one of these rings, the first MUST be the exterior ring, and any others MUST be interior rings. :type coordinates: list[list[list[float]]] :param type: Required. GeoJSON object type.Constant filled by server. Possible values include: "Point", "Polygon", "MultiPolygon". :type type: str or ~azure.agrifood.farming.models.GeoJsonObjectType """ _validation = { 'coordinates': {'required': True}, 'type': {'required': True}, } _attribute_map = { 'coordinates': {'key': 'coordinates', 'type': '[[[float]]]'}, 'type': {'key': 'type', 'type': 'str'}, } def __init__( self, **kwargs ): super(Polygon, self).__init__(**kwargs) self.coordinates = kwargs['coordinates'] self.type = 'Polygon' # type: str self.type = 'Polygon' # type: str class SatelliteData(msrest.serialization.Model): """Data Model for SatelliteIngestionJobRequest. :param image_names: List of ImageNames. :type image_names: list[str] :param image_formats: List of ImageFormats. Available value: TIF. :type image_formats: list[str] :param image_resolutions: List of ImageResolutions in meters. Available values: 10, 20, 60. :type image_resolutions: list[float] """ _attribute_map = { 'image_names': {'key': 'imageNames', 'type': '[str]'}, 'image_formats': {'key': 'imageFormats', 'type': '[str]'}, 'image_resolutions': {'key': 'imageResolutions', 'type': '[float]'}, } def __init__( self, **kwargs ): super(SatelliteData, self).__init__(**kwargs) self.image_names = kwargs.get('image_names', None) self.image_formats = kwargs.get('image_formats', None) self.image_resolutions = kwargs.get('image_resolutions', None) class SatelliteDataIngestionJob(msrest.serialization.Model): """Schema of satellite data ingestion job. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :param farmer_id: Required. Farmer ID. :type farmer_id: str :param boundary_id: Required. The id of the boundary object for which satellite data is being fetched. :type boundary_id: str :param start_date_time: Required. Start Date. :type start_date_time: ~datetime.datetime :param end_date_time: Required. End Date. :type end_date_time: ~datetime.datetime :param provider: Provider of satellite data. Possible values include: "Microsoft". :type provider: str or ~azure.agrifood.farming.models.DataProvider :param source: Source of satellite data. Possible values include: "Sentinel_2_L2A". :type source: str or ~azure.agrifood.farming.models.Source :param data: Data Model for SatelliteIngestionJobRequest. :type data: ~azure.agrifood.farming.models.SatelliteData :ivar id: Unique job id. :vartype id: str :ivar status: Status of the job. Possible values: 'Waiting', 'Running', 'Succeeded', 'Failed', 'Cancelled'. :vartype status: str :ivar duration_in_seconds: Duration of the job in seconds. :vartype duration_in_seconds: float :ivar message: Status message to capture more details of the job. :vartype message: str :ivar created_date_time: Job created at dateTime. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar last_action_date_time: Job was last acted upon at dateTime. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype last_action_date_time: ~datetime.datetime :ivar start_time: Job start time when available. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype start_time: ~datetime.datetime :ivar end_time: Job end time when available. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype end_time: ~datetime.datetime :param name: Name to identify resource. :type name: str :param description: Textual description of the resource. :type description: str :param properties: A collection of key value pairs that belongs to the resource. Each pair must not have a key greater than 50 characters and must not have a value greater than 150 characters. Note: A maximum of 25 key value pairs can be provided for a resource and only string and numeral values are supported. :type properties: dict[str, any] """ _validation = { 'farmer_id': {'required': True}, 'boundary_id': {'required': True}, 'start_date_time': {'required': True}, 'end_date_time': {'required': True}, 'id': {'readonly': True}, 'status': {'readonly': True}, 'duration_in_seconds': {'readonly': True}, 'message': {'readonly': True}, 'created_date_time': {'readonly': True}, 'last_action_date_time': {'readonly': True}, 'start_time': {'readonly': True}, 'end_time': {'readonly': True}, 'name': {'max_length': 100, 'min_length': 0}, 'description': {'max_length': 500, 'min_length': 0}, } _attribute_map = { 'farmer_id': {'key': 'farmerId', 'type': 'str'}, 'boundary_id': {'key': 'boundaryId', 'type': 'str'}, 'start_date_time': {'key': 'startDateTime', 'type': 'iso-8601'}, 'end_date_time': {'key': 'endDateTime', 'type': 'iso-8601'}, 'provider': {'key': 'provider', 'type': 'str'}, 'source': {'key': 'source', 'type': 'str'}, 'data': {'key': 'data', 'type': 'SatelliteData'}, 'id': {'key': 'id', 'type': 'str'}, 'status': {'key': 'status', 'type': 'str'}, 'duration_in_seconds': {'key': 'durationInSeconds', 'type': 'float'}, 'message': {'key': 'message', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'last_action_date_time': {'key': 'lastActionDateTime', 'type': 'iso-8601'}, 'start_time': {'key': 'startTime', 'type': 'iso-8601'}, 'end_time': {'key': 'endTime', 'type': 'iso-8601'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'properties': {'key': 'properties', 'type': '{object}'}, } def __init__( self, **kwargs ): super(SatelliteDataIngestionJob, self).__init__(**kwargs) self.farmer_id = kwargs['farmer_id'] self.boundary_id = kwargs['boundary_id'] self.start_date_time = kwargs['start_date_time'] self.end_date_time = kwargs['end_date_time'] self.provider = kwargs.get('provider', None) self.source = kwargs.get('source', None) self.data = kwargs.get('data', None) self.id = None self.status = None self.duration_in_seconds = None self.message = None self.created_date_time = None self.last_action_date_time = None self.start_time = None self.end_time = None self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.properties = kwargs.get('properties', None) class Scene(msrest.serialization.Model): """Schema of scene resource. Variables are only populated by the server, and will be ignored when sending a request. :param scene_date_time: Date-time of the scene, sample format: yyyy-MM-ddTHH:mm:ssZ. :type scene_date_time: ~datetime.datetime :param provider: Data provider of the scene. :type provider: str :param source: Data source of the scene. :type source: str :param image_files: Collection of image files. :type image_files: list[~azure.agrifood.farming.models.ImageFile] :param image_format: Supported image formats for scene resource. Possible values include: "TIF". :type image_format: str or ~azure.agrifood.farming.models.ImageFormat :param cloud_cover_percentage: Cloud cover percentage of the scene. :type cloud_cover_percentage: float :param dark_pixel_percentage: Dark pixel percentage of the scene. :type dark_pixel_percentage: float :param ndvi_median_value: Median of NDVI of the scene. :type ndvi_median_value: float :param boundary_id: Boundary ID which belongs to the scene. :type boundary_id: str :param farmer_id: Farmer ID which belongs to the scene. :type farmer_id: str :param id: Unique scene resource ID. :type id: str :ivar e_tag: The ETag value to implement optimistic concurrency. :vartype e_tag: str """ _validation = { 'provider': {'max_length': 100, 'min_length': 2}, 'source': {'max_length': 100, 'min_length': 2}, 'cloud_cover_percentage': {'maximum': 100, 'minimum': 0}, 'dark_pixel_percentage': {'maximum': 100, 'minimum': 0}, 'ndvi_median_value': {'maximum': 1, 'minimum': 0}, 'boundary_id': {'max_length': 100, 'min_length': 2}, 'e_tag': {'readonly': True}, } _attribute_map = { 'scene_date_time': {'key': 'sceneDateTime', 'type': 'iso-8601'}, 'provider': {'key': 'provider', 'type': 'str'}, 'source': {'key': 'source', 'type': 'str'}, 'image_files': {'key': 'imageFiles', 'type': '[ImageFile]'}, 'image_format': {'key': 'imageFormat', 'type': 'str'}, 'cloud_cover_percentage': {'key': 'cloudCoverPercentage', 'type': 'float'}, 'dark_pixel_percentage': {'key': 'darkPixelPercentage', 'type': 'float'}, 'ndvi_median_value': {'key': 'ndviMedianValue', 'type': 'float'}, 'boundary_id': {'key': 'boundaryId', 'type': 'str'}, 'farmer_id': {'key': 'farmerId', 'type': 'str'}, 'id': {'key': 'id', 'type': 'str'}, 'e_tag': {'key': 'eTag', 'type': 'str'}, } def __init__( self, **kwargs ): super(Scene, self).__init__(**kwargs) self.scene_date_time = kwargs.get('scene_date_time', None) self.provider = kwargs.get('provider', None) self.source = kwargs.get('source', None) self.image_files = kwargs.get('image_files', None) self.image_format = kwargs.get('image_format', None) self.cloud_cover_percentage = kwargs.get('cloud_cover_percentage', None) self.dark_pixel_percentage = kwargs.get('dark_pixel_percentage', None) self.ndvi_median_value = kwargs.get('ndvi_median_value', None) self.boundary_id = kwargs.get('boundary_id', None) self.farmer_id = kwargs.get('farmer_id', None) self.id = kwargs.get('id', None) self.e_tag = None class SceneListResponse(msrest.serialization.Model): """Paged response contains list of requested objects and a URL link to get the next set of results. :param value: List of requested objects. :type value: list[~azure.agrifood.farming.models.Scene] :param skip_token: Token used in retrieving the next page. If null, there are no additional pages. :type skip_token: str :param next_link: Continuation link (absolute URI) to the next page of results in the list. :type next_link: str """ _attribute_map = { 'value': {'key': 'value', 'type': '[Scene]'}, 'skip_token': {'key': '$skipToken', 'type': 'str'}, 'next_link': {'key': 'nextLink', 'type': 'str'}, } def __init__( self, **kwargs ): super(SceneListResponse, self).__init__(**kwargs) self.value = kwargs.get('value', None) self.skip_token = kwargs.get('skip_token', None) self.next_link = kwargs.get('next_link', None) class SearchBoundaryQuery(msrest.serialization.Model): """SearchAllBoundaries and SearchBoundaries parameters. :param ids: Ids of the resource. :type ids: list[str] :param names: Names of the resource. :type names: list[str] :param property_filters: Filters on key-value pairs within the Properties object. eg. "{testKey} eq {testValue}". :type property_filters: list[str] :param statuses: Statuses of the resource. :type statuses: list[str] :param min_created_date_time: Minimum creation date of resource (inclusive). :type min_created_date_time: ~datetime.datetime :param max_created_date_time: Maximum creation date of resource (inclusive). :type max_created_date_time: ~datetime.datetime :param min_last_modified_date_time: Minimum last modified date of resource (inclusive). :type min_last_modified_date_time: ~datetime.datetime :param max_last_modified_date_time: Maximum last modified date of resource (inclusive). :type max_last_modified_date_time: ~datetime.datetime :param max_page_size: Maximum number of items needed (inclusive). Minimum = 10, Maximum = 1000, Default value = 50. :type max_page_size: int :param skip_token: Skip token for getting next set of results. :type skip_token: str :param is_primary: Is the boundary primary. :type is_primary: bool :param parent_type: Type of the parent it belongs to. :type parent_type: str :param parent_ids: Parent Ids of the resource. :type parent_ids: list[str] :param min_acreage: Minimum acreage of the boundary (inclusive). :type min_acreage: float :param max_acreage: Maximum acreage of the boundary (inclusive). :type max_acreage: float :param intersects_with_geometry: GeoJSON abstract class. :type intersects_with_geometry: ~azure.agrifood.farming.models.GeoJsonObject """ _validation = { 'max_page_size': {'maximum': 1000, 'minimum': 10}, } _attribute_map = { 'ids': {'key': 'ids', 'type': '[str]'}, 'names': {'key': 'names', 'type': '[str]'}, 'property_filters': {'key': 'propertyFilters', 'type': '[str]'}, 'statuses': {'key': 'statuses', 'type': '[str]'}, 'min_created_date_time': {'key': 'minCreatedDateTime', 'type': 'iso-8601'}, 'max_created_date_time': {'key': 'maxCreatedDateTime', 'type': 'iso-8601'}, 'min_last_modified_date_time': {'key': 'minLastModifiedDateTime', 'type': 'iso-8601'}, 'max_last_modified_date_time': {'key': 'maxLastModifiedDateTime', 'type': 'iso-8601'}, 'max_page_size': {'key': '$maxPageSize', 'type': 'int'}, 'skip_token': {'key': '$skipToken', 'type': 'str'}, 'is_primary': {'key': 'isPrimary', 'type': 'bool'}, 'parent_type': {'key': 'parentType', 'type': 'str'}, 'parent_ids': {'key': 'parentIds', 'type': '[str]'}, 'min_acreage': {'key': 'minAcreage', 'type': 'float'}, 'max_acreage': {'key': 'maxAcreage', 'type': 'float'}, 'intersects_with_geometry': {'key': 'intersectsWithGeometry', 'type': 'GeoJsonObject'}, } def __init__( self, **kwargs ): super(SearchBoundaryQuery, self).__init__(**kwargs) self.ids = kwargs.get('ids', None) self.names = kwargs.get('names', None) self.property_filters = kwargs.get('property_filters', None) self.statuses = kwargs.get('statuses', None) self.min_created_date_time = kwargs.get('min_created_date_time', None) self.max_created_date_time = kwargs.get('max_created_date_time', None) self.min_last_modified_date_time = kwargs.get('min_last_modified_date_time', None) self.max_last_modified_date_time = kwargs.get('max_last_modified_date_time', None) self.max_page_size = kwargs.get('max_page_size', 50) self.skip_token = kwargs.get('skip_token', None) self.is_primary = kwargs.get('is_primary', None) self.parent_type = kwargs.get('parent_type', None) self.parent_ids = kwargs.get('parent_ids', None) self.min_acreage = kwargs.get('min_acreage', None) self.max_acreage = kwargs.get('max_acreage', None) self.intersects_with_geometry = kwargs.get('intersects_with_geometry', None) class Season(msrest.serialization.Model): """Schema of season resource. Variables are only populated by the server, and will be ignored when sending a request. :param start_date_time: Season start datetime, sample format: yyyy-MM-ddTHH:mm:ssZ. :type start_date_time: ~datetime.datetime :param end_date_time: Season end datetime, sample format: yyyy-MM-ddTHH:mm:ssZ. :type end_date_time: ~datetime.datetime :param year: Season year. :type year: int :ivar id: Unique resource ID. :vartype id: str :ivar e_tag: The ETag value to implement optimistic concurrency. :vartype e_tag: str :param status: Status of the resource. :type status: str :ivar created_date_time: Date-time when resource was created, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar modified_date_time: Date-time when resource was last modified, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype modified_date_time: ~datetime.datetime :param name: Name to identify resource. :type name: str :param description: Textual description of the resource. :type description: str :param properties: A collection of key value pairs that belongs to the resource. Each pair must not have a key greater than 50 characters and must not have a value greater than 150 characters. Note: A maximum of 25 key value pairs can be provided for a resource and only string and numeral values are supported. :type properties: dict[str, any] """ _validation = { 'id': {'readonly': True}, 'e_tag': {'readonly': True}, 'status': {'max_length': 100, 'min_length': 0}, 'created_date_time': {'readonly': True}, 'modified_date_time': {'readonly': True}, 'name': {'max_length': 100, 'min_length': 0}, 'description': {'max_length': 500, 'min_length': 0}, } _attribute_map = { 'start_date_time': {'key': 'startDateTime', 'type': 'iso-8601'}, 'end_date_time': {'key': 'endDateTime', 'type': 'iso-8601'}, 'year': {'key': 'year', 'type': 'int'}, 'id': {'key': 'id', 'type': 'str'}, 'e_tag': {'key': 'eTag', 'type': 'str'}, 'status': {'key': 'status', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'modified_date_time': {'key': 'modifiedDateTime', 'type': 'iso-8601'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'properties': {'key': 'properties', 'type': '{object}'}, } def __init__( self, **kwargs ): super(Season, self).__init__(**kwargs) self.start_date_time = kwargs.get('start_date_time', None) self.end_date_time = kwargs.get('end_date_time', None) self.year = kwargs.get('year', None) self.id = None self.e_tag = None self.status = kwargs.get('status', None) self.created_date_time = None self.modified_date_time = None self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.properties = kwargs.get('properties', None) class SeasonalField(msrest.serialization.Model): """Schema of seasonal field resource. Variables are only populated by the server, and will be ignored when sending a request. :ivar farmer_id: Farmer ID. :vartype farmer_id: str :ivar primary_boundary_id: Primary boundary id. :vartype primary_boundary_id: str :ivar boundary_ids: Boundary Ids. :vartype boundary_ids: list[str] :param farm_id: ID of the associated Farm. :type farm_id: str :param field_id: ID of the associated Field. :type field_id: str :param season_id: ID of the season it belongs to. :type season_id: str :param crop_variety_ids: CropVariety ids. :type crop_variety_ids: list[str] :param crop_id: ID of the crop it belongs to. :type crop_id: str :param avg_yield_value: Average yield value of the seasonal field. :type avg_yield_value: float :param avg_yield_unit: Unit of the average yield value attribute. :type avg_yield_unit: str :param avg_seed_population_value: Average seed population value of the seasonal field. :type avg_seed_population_value: float :param avg_seed_population_unit: Unit of average seed population value attribute. :type avg_seed_population_unit: str :param planting_date_time: Planting datetime, sample format: yyyy-MM-ddTHH:mm:ssZ. :type planting_date_time: ~datetime.datetime :ivar id: Unique resource ID. :vartype id: str :ivar e_tag: The ETag value to implement optimistic concurrency. :vartype e_tag: str :param status: Status of the resource. :type status: str :ivar created_date_time: Date-time when resource was created, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar modified_date_time: Date-time when resource was last modified, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype modified_date_time: ~datetime.datetime :param name: Name to identify resource. :type name: str :param description: Textual description of the resource. :type description: str :param properties: A collection of key value pairs that belongs to the resource. Each pair must not have a key greater than 50 characters and must not have a value greater than 150 characters. Note: A maximum of 25 key value pairs can be provided for a resource and only string and numeral values are supported. :type properties: dict[str, any] """ _validation = { 'farmer_id': {'readonly': True}, 'primary_boundary_id': {'readonly': True}, 'boundary_ids': {'readonly': True, 'unique': True}, 'crop_variety_ids': {'unique': True}, 'avg_yield_unit': {'max_length': 32, 'min_length': 2}, 'avg_seed_population_unit': {'max_length': 32, 'min_length': 2}, 'id': {'readonly': True}, 'e_tag': {'readonly': True}, 'status': {'max_length': 100, 'min_length': 0}, 'created_date_time': {'readonly': True}, 'modified_date_time': {'readonly': True}, 'name': {'max_length': 100, 'min_length': 0}, 'description': {'max_length': 500, 'min_length': 0}, } _attribute_map = { 'farmer_id': {'key': 'farmerId', 'type': 'str'}, 'primary_boundary_id': {'key': 'primaryBoundaryId', 'type': 'str'}, 'boundary_ids': {'key': 'boundaryIds', 'type': '[str]'}, 'farm_id': {'key': 'farmId', 'type': 'str'}, 'field_id': {'key': 'fieldId', 'type': 'str'}, 'season_id': {'key': 'seasonId', 'type': 'str'}, 'crop_variety_ids': {'key': 'cropVarietyIds', 'type': '[str]'}, 'crop_id': {'key': 'cropId', 'type': 'str'}, 'avg_yield_value': {'key': 'avgYieldValue', 'type': 'float'}, 'avg_yield_unit': {'key': 'avgYieldUnit', 'type': 'str'}, 'avg_seed_population_value': {'key': 'avgSeedPopulationValue', 'type': 'float'}, 'avg_seed_population_unit': {'key': 'avgSeedPopulationUnit', 'type': 'str'}, 'planting_date_time': {'key': 'plantingDateTime', 'type': 'iso-8601'}, 'id': {'key': 'id', 'type': 'str'}, 'e_tag': {'key': 'eTag', 'type': 'str'}, 'status': {'key': 'status', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'modified_date_time': {'key': 'modifiedDateTime', 'type': 'iso-8601'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'properties': {'key': 'properties', 'type': '{object}'}, } def __init__( self, **kwargs ): super(SeasonalField, self).__init__(**kwargs) self.farmer_id = None self.primary_boundary_id = None self.boundary_ids = None self.farm_id = kwargs.get('farm_id', None) self.field_id = kwargs.get('field_id', None) self.season_id = kwargs.get('season_id', None) self.crop_variety_ids = kwargs.get('crop_variety_ids', None) self.crop_id = kwargs.get('crop_id', None) self.avg_yield_value = kwargs.get('avg_yield_value', None) self.avg_yield_unit = kwargs.get('avg_yield_unit', None) self.avg_seed_population_value = kwargs.get('avg_seed_population_value', None) self.avg_seed_population_unit = kwargs.get('avg_seed_population_unit', None) self.planting_date_time = kwargs.get('planting_date_time', None) self.id = None self.e_tag = None self.status = kwargs.get('status', None) self.created_date_time = None self.modified_date_time = None self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.properties = kwargs.get('properties', None) class SeasonalFieldListResponse(msrest.serialization.Model): """Paged response contains list of requested objects and a URL link to get the next set of results. :param value: List of requested objects. :type value: list[~azure.agrifood.farming.models.SeasonalField] :param skip_token: Token used in retrieving the next page. If null, there are no additional pages. :type skip_token: str :param next_link: Continuation link (absolute URI) to the next page of results in the list. :type next_link: str """ _attribute_map = { 'value': {'key': 'value', 'type': '[SeasonalField]'}, 'skip_token': {'key': '$skipToken', 'type': 'str'}, 'next_link': {'key': 'nextLink', 'type': 'str'}, } def __init__( self, **kwargs ): super(SeasonalFieldListResponse, self).__init__(**kwargs) self.value = kwargs.get('value', None) self.skip_token = kwargs.get('skip_token', None) self.next_link = kwargs.get('next_link', None) class SeasonListResponse(msrest.serialization.Model): """Paged response contains list of requested objects and a URL link to get the next set of results. :param value: List of requested objects. :type value: list[~azure.agrifood.farming.models.Season] :param skip_token: Token used in retrieving the next page. If null, there are no additional pages. :type skip_token: str :param next_link: Continuation link (absolute URI) to the next page of results in the list. :type next_link: str """ _attribute_map = { 'value': {'key': 'value', 'type': '[Season]'}, 'skip_token': {'key': '$skipToken', 'type': 'str'}, 'next_link': {'key': 'nextLink', 'type': 'str'}, } def __init__( self, **kwargs ): super(SeasonListResponse, self).__init__(**kwargs) self.value = kwargs.get('value', None) self.skip_token = kwargs.get('skip_token', None) self.next_link = kwargs.get('next_link', None) class TillageData(msrest.serialization.Model): """Schema of tillage data resource. Variables are only populated by the server, and will be ignored when sending a request. :param tillage_depth: Schema for storing measurement reading and unit. :type tillage_depth: ~azure.agrifood.farming.models.Measure :param tillage_pressure: Schema for storing measurement reading and unit. :type tillage_pressure: ~azure.agrifood.farming.models.Measure :param area: Schema for storing measurement reading and unit. :type area: ~azure.agrifood.farming.models.Measure :param source: Source of the operation data. :type source: str :param operation_modified_date_time: Modified date-time of the operation data, sample format: yyyy-MM-ddTHH:mm:ssZ. Note: this will be specified by the source provider itself. :type operation_modified_date_time: ~datetime.datetime :param operation_start_date_time: Start date-time of the operation data, sample format: yyyy-MM-ddTHH:mm:ssZ. :type operation_start_date_time: ~datetime.datetime :param operation_end_date_time: End date-time of the operation data, sample format: yyyy-MM-ddTHH:mm:ssZ. :type operation_end_date_time: ~datetime.datetime :ivar attachments_link: Link for attachments. :vartype attachments_link: str :param associated_boundary_id: Optional boundary ID of the field for which operation was applied. :type associated_boundary_id: str :param operation_boundary_id: Optional boundary ID of the actual area for which operation was applied inside the specified field. :type operation_boundary_id: str :ivar farmer_id: Farmer ID which belongs to the operation data. :vartype farmer_id: str :ivar id: Unique resource ID. :vartype id: str :ivar e_tag: The ETag value to implement optimistic concurrency. :vartype e_tag: str :param status: Status of the resource. :type status: str :ivar created_date_time: Date-time when resource was created, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar modified_date_time: Date-time when resource was last modified, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype modified_date_time: ~datetime.datetime :param name: Name to identify resource. :type name: str :param description: Textual description of the resource. :type description: str :param properties: A collection of key value pairs that belongs to the resource. Each pair must not have a key greater than 50 characters and must not have a value greater than 150 characters. Note: A maximum of 25 key value pairs can be provided for a resource and only string and numeral values are supported. :type properties: dict[str, any] """ _validation = { 'source': {'max_length': 100, 'min_length': 2}, 'attachments_link': {'readonly': True}, 'farmer_id': {'readonly': True}, 'id': {'readonly': True}, 'e_tag': {'readonly': True}, 'status': {'max_length': 100, 'min_length': 0}, 'created_date_time': {'readonly': True}, 'modified_date_time': {'readonly': True}, 'name': {'max_length': 100, 'min_length': 0}, 'description': {'max_length': 500, 'min_length': 0}, } _attribute_map = { 'tillage_depth': {'key': 'tillageDepth', 'type': 'Measure'}, 'tillage_pressure': {'key': 'tillagePressure', 'type': 'Measure'}, 'area': {'key': 'area', 'type': 'Measure'}, 'source': {'key': 'source', 'type': 'str'}, 'operation_modified_date_time': {'key': 'operationModifiedDateTime', 'type': 'iso-8601'}, 'operation_start_date_time': {'key': 'operationStartDateTime', 'type': 'iso-8601'}, 'operation_end_date_time': {'key': 'operationEndDateTime', 'type': 'iso-8601'}, 'attachments_link': {'key': 'attachmentsLink', 'type': 'str'}, 'associated_boundary_id': {'key': 'associatedBoundaryId', 'type': 'str'}, 'operation_boundary_id': {'key': 'operationBoundaryId', 'type': 'str'}, 'farmer_id': {'key': 'farmerId', 'type': 'str'}, 'id': {'key': 'id', 'type': 'str'}, 'e_tag': {'key': 'eTag', 'type': 'str'}, 'status': {'key': 'status', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'modified_date_time': {'key': 'modifiedDateTime', 'type': 'iso-8601'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'properties': {'key': 'properties', 'type': '{object}'}, } def __init__( self, **kwargs ): super(TillageData, self).__init__(**kwargs) self.tillage_depth = kwargs.get('tillage_depth', None) self.tillage_pressure = kwargs.get('tillage_pressure', None) self.area = kwargs.get('area', None) self.source = kwargs.get('source', None) self.operation_modified_date_time = kwargs.get('operation_modified_date_time', None) self.operation_start_date_time = kwargs.get('operation_start_date_time', None) self.operation_end_date_time = kwargs.get('operation_end_date_time', None) self.attachments_link = None self.associated_boundary_id = kwargs.get('associated_boundary_id', None) self.operation_boundary_id = kwargs.get('operation_boundary_id', None) self.farmer_id = None self.id = None self.e_tag = None self.status = kwargs.get('status', None) self.created_date_time = None self.modified_date_time = None self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.properties = kwargs.get('properties', None) class TillageDataListResponse(msrest.serialization.Model): """Paged response contains list of requested objects and a URL link to get the next set of results. :param value: List of requested objects. :type value: list[~azure.agrifood.farming.models.TillageData] :param skip_token: Token used in retrieving the next page. If null, there are no additional pages. :type skip_token: str :param next_link: Continuation link (absolute URI) to the next page of results in the list. :type next_link: str """ _attribute_map = { 'value': {'key': 'value', 'type': '[TillageData]'}, 'skip_token': {'key': '$skipToken', 'type': 'str'}, 'next_link': {'key': 'nextLink', 'type': 'str'}, } def __init__( self, **kwargs ): super(TillageDataListResponse, self).__init__(**kwargs) self.value = kwargs.get('value', None) self.skip_token = kwargs.get('skip_token', None) self.next_link = kwargs.get('next_link', None) class WeatherData(msrest.serialization.Model): """Schema of weather data. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :param farmer_id: Required. Farmer ID. :type farmer_id: str :param boundary_id: Required. Boundary ID. :type boundary_id: str :param extension_id: Required. ID of the weather extension. :type extension_id: str :param location: Required. Location model class. :type location: ~azure.agrifood.farming.models.Location :param date_time: Required. Date-time of the weather data, sample format: yyyy-MM-ddTHH:mm:ssZ. :type date_time: ~datetime.datetime :param unit_system_code: Unit System like US/SI etc. :type unit_system_code: str :param extension_version: Required. Version of the weather data extension. :type extension_version: str :param weather_data_type: Required. Type of weather data (forecast/historical). :type weather_data_type: str :param granularity: Required. Granularity of weather data (daily/hourly). :type granularity: str :param cloud_cover: Schema for storing measurement reading and unit. :type cloud_cover: ~azure.agrifood.farming.models.Measure :param dew_point: Schema for storing measurement reading and unit. :type dew_point: ~azure.agrifood.farming.models.Measure :param growing_degree_day: Schema for storing measurement reading and unit. :type growing_degree_day: ~azure.agrifood.farming.models.Measure :param precipitation: Schema for storing measurement reading and unit. :type precipitation: ~azure.agrifood.farming.models.Measure :param pressure: Schema for storing measurement reading and unit. :type pressure: ~azure.agrifood.farming.models.Measure :param relative_humidity: Schema for storing measurement reading and unit. :type relative_humidity: ~azure.agrifood.farming.models.Measure :param soil_moisture: Schema for storing measurement reading and unit. :type soil_moisture: ~azure.agrifood.farming.models.Measure :param soil_temperature: Schema for storing measurement reading and unit. :type soil_temperature: ~azure.agrifood.farming.models.Measure :param temperature: Schema for storing measurement reading and unit. :type temperature: ~azure.agrifood.farming.models.Measure :param visibility: Schema for storing measurement reading and unit. :type visibility: ~azure.agrifood.farming.models.Measure :param wet_bulb_temperature: Schema for storing measurement reading and unit. :type wet_bulb_temperature: ~azure.agrifood.farming.models.Measure :param wind_chill: Schema for storing measurement reading and unit. :type wind_chill: ~azure.agrifood.farming.models.Measure :param wind_direction: Schema for storing measurement reading and unit. :type wind_direction: ~azure.agrifood.farming.models.Measure :param wind_gust: Schema for storing measurement reading and unit. :type wind_gust: ~azure.agrifood.farming.models.Measure :param wind_speed: Schema for storing measurement reading and unit. :type wind_speed: ~azure.agrifood.farming.models.Measure :param id: Weather data ID. :type id: str :ivar e_tag: The ETag value to implement optimistic concurrency. :vartype e_tag: str :ivar created_date_time: Date-time when resource was created, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar modified_date_time: Date-time when resource was last modified, sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype modified_date_time: ~datetime.datetime :param properties: A collection of key value pairs that belongs to the resource. Each pair must not have a key greater than 50 characters and must not have a value greater than 150 characters. Note: A maximum of 25 key value pairs can be provided for a resource and only string and numeral values are supported. :type properties: dict[str, any] """ _validation = { 'farmer_id': {'required': True}, 'boundary_id': {'required': True}, 'extension_id': {'required': True}, 'location': {'required': True}, 'date_time': {'required': True}, 'extension_version': {'required': True}, 'weather_data_type': {'required': True}, 'granularity': {'required': True}, 'e_tag': {'readonly': True}, 'created_date_time': {'readonly': True}, 'modified_date_time': {'readonly': True}, } _attribute_map = { 'farmer_id': {'key': 'farmerId', 'type': 'str'}, 'boundary_id': {'key': 'boundaryId', 'type': 'str'}, 'extension_id': {'key': 'extensionId', 'type': 'str'}, 'location': {'key': 'location', 'type': 'Location'}, 'date_time': {'key': 'dateTime', 'type': 'iso-8601'}, 'unit_system_code': {'key': 'unitSystemCode', 'type': 'str'}, 'extension_version': {'key': 'extensionVersion', 'type': 'str'}, 'weather_data_type': {'key': 'weatherDataType', 'type': 'str'}, 'granularity': {'key': 'granularity', 'type': 'str'}, 'cloud_cover': {'key': 'cloudCover', 'type': 'Measure'}, 'dew_point': {'key': 'dewPoint', 'type': 'Measure'}, 'growing_degree_day': {'key': 'growingDegreeDay', 'type': 'Measure'}, 'precipitation': {'key': 'precipitation', 'type': 'Measure'}, 'pressure': {'key': 'pressure', 'type': 'Measure'}, 'relative_humidity': {'key': 'relativeHumidity', 'type': 'Measure'}, 'soil_moisture': {'key': 'soilMoisture', 'type': 'Measure'}, 'soil_temperature': {'key': 'soilTemperature', 'type': 'Measure'}, 'temperature': {'key': 'temperature', 'type': 'Measure'}, 'visibility': {'key': 'visibility', 'type': 'Measure'}, 'wet_bulb_temperature': {'key': 'wetBulbTemperature', 'type': 'Measure'}, 'wind_chill': {'key': 'windChill', 'type': 'Measure'}, 'wind_direction': {'key': 'windDirection', 'type': 'Measure'}, 'wind_gust': {'key': 'windGust', 'type': 'Measure'}, 'wind_speed': {'key': 'windSpeed', 'type': 'Measure'}, 'id': {'key': 'id', 'type': 'str'}, 'e_tag': {'key': 'eTag', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'modified_date_time': {'key': 'modifiedDateTime', 'type': 'iso-8601'}, 'properties': {'key': 'properties', 'type': '{object}'}, } def __init__( self, **kwargs ): super(WeatherData, self).__init__(**kwargs) self.farmer_id = kwargs['farmer_id'] self.boundary_id = kwargs['boundary_id'] self.extension_id = kwargs['extension_id'] self.location = kwargs['location'] self.date_time = kwargs['date_time'] self.unit_system_code = kwargs.get('unit_system_code', None) self.extension_version = kwargs['extension_version'] self.weather_data_type = kwargs['weather_data_type'] self.granularity = kwargs['granularity'] self.cloud_cover = kwargs.get('cloud_cover', None) self.dew_point = kwargs.get('dew_point', None) self.growing_degree_day = kwargs.get('growing_degree_day', None) self.precipitation = kwargs.get('precipitation', None) self.pressure = kwargs.get('pressure', None) self.relative_humidity = kwargs.get('relative_humidity', None) self.soil_moisture = kwargs.get('soil_moisture', None) self.soil_temperature = kwargs.get('soil_temperature', None) self.temperature = kwargs.get('temperature', None) self.visibility = kwargs.get('visibility', None) self.wet_bulb_temperature = kwargs.get('wet_bulb_temperature', None) self.wind_chill = kwargs.get('wind_chill', None) self.wind_direction = kwargs.get('wind_direction', None) self.wind_gust = kwargs.get('wind_gust', None) self.wind_speed = kwargs.get('wind_speed', None) self.id = kwargs.get('id', None) self.e_tag = None self.created_date_time = None self.modified_date_time = None self.properties = kwargs.get('properties', None) class WeatherDataDeleteJob(msrest.serialization.Model): """Schema of weather data delete job. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :param extension_id: Required. ID of the extension to be used for the providerInput. eg. DTN.ClearAg. :type extension_id: str :param farmer_id: Required. The id of the farmer object for which weather data is being fetched. :type farmer_id: str :param boundary_id: Required. The id of the boundary object for which weather data is being fetched. :type boundary_id: str :param weather_data_type: Type of weather data. Possible values include: 'forecast' , 'historical'. :type weather_data_type: str :param granularity: Granularity of weather data. Possible values include: 'daily' , 'hourly'. :type granularity: str :param start_date_time: Weather data start UTC date-time (inclusive), sample format: yyyy-MM-ddTHH:mm:ssZ. :type start_date_time: ~datetime.datetime :param end_date_time: Weather data end UTC date-time (inclusive), sample format: yyyy-MM-ddTHH:mm:ssZ. :type end_date_time: ~datetime.datetime :ivar id: Unique job id. :vartype id: str :ivar status: Status of the job. Possible values: 'Waiting', 'Running', 'Succeeded', 'Failed', 'Cancelled'. :vartype status: str :ivar duration_in_seconds: Duration of the job in seconds. :vartype duration_in_seconds: float :ivar message: Status message to capture more details of the job. :vartype message: str :ivar created_date_time: Job created at dateTime. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar last_action_date_time: Job was last acted upon at dateTime. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype last_action_date_time: ~datetime.datetime :ivar start_time: Job start time when available. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype start_time: ~datetime.datetime :ivar end_time: Job end time when available. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype end_time: ~datetime.datetime :param name: Name to identify resource. :type name: str :param description: Textual description of the resource. :type description: str :param properties: A collection of key value pairs that belongs to the resource. Each pair must not have a key greater than 50 characters and must not have a value greater than 150 characters. Note: A maximum of 25 key value pairs can be provided for a resource and only string and numeral values are supported. :type properties: dict[str, any] """ _validation = { 'extension_id': {'required': True, 'max_length': 100, 'min_length': 2, 'pattern': r'^[A-za-z]{3,50}[.][A-za-z]{3,100}$'}, 'farmer_id': {'required': True}, 'boundary_id': {'required': True}, 'id': {'readonly': True}, 'status': {'readonly': True}, 'duration_in_seconds': {'readonly': True}, 'message': {'readonly': True}, 'created_date_time': {'readonly': True}, 'last_action_date_time': {'readonly': True}, 'start_time': {'readonly': True}, 'end_time': {'readonly': True}, 'name': {'max_length': 100, 'min_length': 0}, 'description': {'max_length': 500, 'min_length': 0}, } _attribute_map = { 'extension_id': {'key': 'extensionId', 'type': 'str'}, 'farmer_id': {'key': 'farmerId', 'type': 'str'}, 'boundary_id': {'key': 'boundaryId', 'type': 'str'}, 'weather_data_type': {'key': 'weatherDataType', 'type': 'str'}, 'granularity': {'key': 'granularity', 'type': 'str'}, 'start_date_time': {'key': 'startDateTime', 'type': 'iso-8601'}, 'end_date_time': {'key': 'endDateTime', 'type': 'iso-8601'}, 'id': {'key': 'id', 'type': 'str'}, 'status': {'key': 'status', 'type': 'str'}, 'duration_in_seconds': {'key': 'durationInSeconds', 'type': 'float'}, 'message': {'key': 'message', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'last_action_date_time': {'key': 'lastActionDateTime', 'type': 'iso-8601'}, 'start_time': {'key': 'startTime', 'type': 'iso-8601'}, 'end_time': {'key': 'endTime', 'type': 'iso-8601'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'properties': {'key': 'properties', 'type': '{object}'}, } def __init__( self, **kwargs ): super(WeatherDataDeleteJob, self).__init__(**kwargs) self.extension_id = kwargs['extension_id'] self.farmer_id = kwargs['farmer_id'] self.boundary_id = kwargs['boundary_id'] self.weather_data_type = kwargs.get('weather_data_type', None) self.granularity = kwargs.get('granularity', None) self.start_date_time = kwargs.get('start_date_time', None) self.end_date_time = kwargs.get('end_date_time', None) self.id = None self.status = None self.duration_in_seconds = None self.message = None self.created_date_time = None self.last_action_date_time = None self.start_time = None self.end_time = None self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.properties = kwargs.get('properties', None) class WeatherDataIngestionJob(msrest.serialization.Model): """Schema of weather ingestion job. Variables are only populated by the server, and will be ignored when sending a request. All required parameters must be populated in order to send to Azure. :param boundary_id: Required. The id of the boundary object for which weather data is being fetched. :type boundary_id: str :param farmer_id: Required. The id of the farmer object for which weather data is being fetched. :type farmer_id: str :param extension_id: Required. ID of the extension to be used for the providerInput. eg. DTN.ClearAg. :type extension_id: str :param extension_api_name: Required. Extension api name to which request is to be made. :type extension_api_name: str :param extension_api_input: Required. Extension api input dictionary which would be used to feed request query/body/parameter information. :type extension_api_input: dict[str, any] :param extension_data_provider_app_id: App id of the weather data provider. :type extension_data_provider_app_id: str :param extension_data_provider_api_key: Api key of the weather data provider. :type extension_data_provider_api_key: str :ivar id: Unique job id. :vartype id: str :ivar status: Status of the job. Possible values: 'Waiting', 'Running', 'Succeeded', 'Failed', 'Cancelled'. :vartype status: str :ivar duration_in_seconds: Duration of the job in seconds. :vartype duration_in_seconds: float :ivar message: Status message to capture more details of the job. :vartype message: str :ivar created_date_time: Job created at dateTime. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype created_date_time: ~datetime.datetime :ivar last_action_date_time: Job was last acted upon at dateTime. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype last_action_date_time: ~datetime.datetime :ivar start_time: Job start time when available. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype start_time: ~datetime.datetime :ivar end_time: Job end time when available. Sample format: yyyy-MM-ddTHH:mm:ssZ. :vartype end_time: ~datetime.datetime :param name: Name to identify resource. :type name: str :param description: Textual description of the resource. :type description: str :param properties: A collection of key value pairs that belongs to the resource. Each pair must not have a key greater than 50 characters and must not have a value greater than 150 characters. Note: A maximum of 25 key value pairs can be provided for a resource and only string and numeral values are supported. :type properties: dict[str, any] """ _validation = { 'boundary_id': {'required': True}, 'farmer_id': {'required': True}, 'extension_id': {'required': True, 'max_length': 100, 'min_length': 2, 'pattern': r'^[A-za-z]{3,50}[.][A-za-z]{3,100}$'}, 'extension_api_name': {'required': True, 'max_length': 100, 'min_length': 2}, 'extension_api_input': {'required': True}, 'extension_data_provider_app_id': {'max_length': 200, 'min_length': 2}, 'extension_data_provider_api_key': {'max_length': 200, 'min_length': 2}, 'id': {'readonly': True}, 'status': {'readonly': True}, 'duration_in_seconds': {'readonly': True}, 'message': {'readonly': True}, 'created_date_time': {'readonly': True}, 'last_action_date_time': {'readonly': True}, 'start_time': {'readonly': True}, 'end_time': {'readonly': True}, 'name': {'max_length': 100, 'min_length': 0}, 'description': {'max_length': 500, 'min_length': 0}, } _attribute_map = { 'boundary_id': {'key': 'boundaryId', 'type': 'str'}, 'farmer_id': {'key': 'farmerId', 'type': 'str'}, 'extension_id': {'key': 'extensionId', 'type': 'str'}, 'extension_api_name': {'key': 'extensionApiName', 'type': 'str'}, 'extension_api_input': {'key': 'extensionApiInput', 'type': '{object}'}, 'extension_data_provider_app_id': {'key': 'extensionDataProviderAppId', 'type': 'str'}, 'extension_data_provider_api_key': {'key': 'extensionDataProviderApiKey', 'type': 'str'}, 'id': {'key': 'id', 'type': 'str'}, 'status': {'key': 'status', 'type': 'str'}, 'duration_in_seconds': {'key': 'durationInSeconds', 'type': 'float'}, 'message': {'key': 'message', 'type': 'str'}, 'created_date_time': {'key': 'createdDateTime', 'type': 'iso-8601'}, 'last_action_date_time': {'key': 'lastActionDateTime', 'type': 'iso-8601'}, 'start_time': {'key': 'startTime', 'type': 'iso-8601'}, 'end_time': {'key': 'endTime', 'type': 'iso-8601'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'properties': {'key': 'properties', 'type': '{object}'}, } def __init__( self, **kwargs ): super(WeatherDataIngestionJob, self).__init__(**kwargs) self.boundary_id = kwargs['boundary_id'] self.farmer_id = kwargs['farmer_id'] self.extension_id = kwargs['extension_id'] self.extension_api_name = kwargs['extension_api_name'] self.extension_api_input = kwargs['extension_api_input'] self.extension_data_provider_app_id = kwargs.get('extension_data_provider_app_id', None) self.extension_data_provider_api_key = kwargs.get('extension_data_provider_api_key', None) self.id = None self.status = None self.duration_in_seconds = None self.message = None self.created_date_time = None self.last_action_date_time = None self.start_time = None self.end_time = None self.name = kwargs.get('name', None) self.description = kwargs.get('description', None) self.properties = kwargs.get('properties', None) class WeatherDataListResponse(msrest.serialization.Model): """Paged response contains list of requested objects and a URL link to get the next set of results. :param value: List of requested objects. :type value: list[~azure.agrifood.farming.models.WeatherData] :param skip_token: Token used in retrieving the next page. If null, there are no additional pages. :type skip_token: str :param next_link: Continuation link (absolute URI) to the next page of results in the list. :type next_link: str """ _attribute_map = { 'value': {'key': 'value', 'type': '[WeatherData]'}, 'skip_token': {'key': '$skipToken', 'type': 'str'}, 'next_link': {'key': 'nextLink', 'type': 'str'}, } def __init__( self, **kwargs ): super(WeatherDataListResponse, self).__init__(**kwargs) self.value = kwargs.get('value', None) self.skip_token = kwargs.get('skip_token', None) self.next_link = kwargs.get('next_link', None)

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fc3c790fa52e77edddb784046bc6a340f44d0fcc

4,560

py

Python

networkx/generators/tests/test_community.py

theaverageguy/networkx

b2b74b3ba028ef3788f796aa64b037c8ea446539

[ "BSD-3-Clause" ]

1

2020-11-10T08:15:23.000Z

networkx/generators/tests/test_community.py

theaverageguy/networkx

b2b74b3ba028ef3788f796aa64b037c8ea446539

[ "BSD-3-Clause" ]

null

networkx/generators/tests/test_community.py

theaverageguy/networkx

b2b74b3ba028ef3788f796aa64b037c8ea446539

[ "BSD-3-Clause" ]

2

2016-09-04T10:59:12.000Z

2020-02-17T07:43:04.000Z

import networkx as nx from nose.tools import * def test_random_partition_graph(): G = nx.random_partition_graph([3,3,3],1,0) C = G.graph['partition'] assert_equal(C,[set([0,1,2]), set([3,4,5]), set([6,7,8])]) assert_equal(len(G),9) assert_equal(len(list(G.edges())),9) G = nx.random_partition_graph([3,3,3],0,1) C = G.graph['partition'] assert_equal(C,[set([0,1,2]), set([3,4,5]), set([6,7,8])]) assert_equal(len(G),9) assert_equal(len(list(G.edges())),27) G = nx.random_partition_graph([3,3,3],1,0,directed=True) C = G.graph['partition'] assert_equal(C,[set([0,1,2]), set([3,4,5]), set([6,7,8])]) assert_equal(len(G),9) assert_equal(len(list(G.edges())),18) G = nx.random_partition_graph([3,3,3],0,1,directed=True) C = G.graph['partition'] assert_equal(C,[set([0,1,2]), set([3,4,5]), set([6,7,8])]) assert_equal(len(G),9) assert_equal(len(list(G.edges())),54) G = nx.random_partition_graph([1,2,3,4,5], 0.5, 0.1) C = G.graph['partition'] assert_equal(C,[set([0]), set([1,2]), set([3,4,5]), set([6,7,8,9]), set([10,11,12,13,14])]) assert_equal(len(G),15) assert_raises(nx.NetworkXError, nx.random_partition_graph,[1,2,3],1.1,0.1) assert_raises(nx.NetworkXError, nx.random_partition_graph,[1,2,3],-0.1,0.1) assert_raises(nx.NetworkXError, nx.random_partition_graph,[1,2,3],0.1,1.1) assert_raises(nx.NetworkXError, nx.random_partition_graph,[1,2,3],0.1,-0.1) def test_planted_partition_graph(): G = nx.planted_partition_graph(4,3,1,0) C = G.graph['partition'] assert_equal(len(C),4) assert_equal(len(G),12) assert_equal(len(list(G.edges())),12) G = nx.planted_partition_graph(4,3,0,1) C = G.graph['partition'] assert_equal(len(C),4) assert_equal(len(G),12) assert_equal(len(list(G.edges())),54) G = nx.planted_partition_graph(10,4,.5,.1,seed=42) C = G.graph['partition'] assert_equal(len(C),10) assert_equal(len(G),40) assert_equal(len(list(G.edges())),108) G = nx.planted_partition_graph(4,3,1,0,directed=True) C = G.graph['partition'] assert_equal(len(C),4) assert_equal(len(G),12) assert_equal(len(list(G.edges())),24) G = nx.planted_partition_graph(4,3,0,1,directed=True) C = G.graph['partition'] assert_equal(len(C),4) assert_equal(len(G),12) assert_equal(len(list(G.edges())),108) G = nx.planted_partition_graph(10,4,.5,.1,seed=42,directed=True) C = G.graph['partition'] assert_equal(len(C),10) assert_equal(len(G),40) assert_equal(len(list(G.edges())),218) assert_raises(nx.NetworkXError, nx.planted_partition_graph, 3, 3, 1.1, 0.1) assert_raises(nx.NetworkXError, nx.planted_partition_graph, 3, 3,-0.1, 0.1) assert_raises(nx.NetworkXError, nx.planted_partition_graph, 3, 3, 0.1, 1.1) assert_raises(nx.NetworkXError, nx.planted_partition_graph, 3, 3, 0.1,-0.1) def test_relaxed_caveman_graph(): G = nx.relaxed_caveman_graph(4, 3, 0) assert_equal(len(G), 12) G = nx.relaxed_caveman_graph(4, 3, 1) assert_equal(len(G), 12) G = nx.relaxed_caveman_graph(4, 3, 0.5) assert_equal(len(G), 12) def test_connected_caveman_graph(): G = nx.connected_caveman_graph(4,3) assert_equal(len(G),12) G = nx.connected_caveman_graph(1,5) K5 = nx.complete_graph(5) K5.remove_edge(3,4) assert_true(nx.is_isomorphic(G,K5)) def test_caveman_graph(): G = nx.caveman_graph(4,3) assert_equal(len(G),12) G = nx.caveman_graph(1,5) K5 = nx.complete_graph(5) assert_true(nx.is_isomorphic(G,K5)) def test_gaussian_random_partition_graph(): G = nx.gaussian_random_partition_graph(100, 10, 10, 0.3, 0.01) assert_equal(len(G),100) assert_raises(nx.NetworkXError, nx.gaussian_random_partition_graph, 100, 101, 10, 1, 0) def test_ring_of_cliques(): for i in range(2, 20): for j in range(2, 20): G = nx.ring_of_cliques(i, j) assert_equal(G.number_of_nodes(), i*j) if i != 2 or j != 1: expected_num_edges = i * (((j * (j - 1)) // 2) + 1) else: # the edge that already exists cannot be duplicated expected_num_edges = i * (((j * (j - 1)) // 2) + 1) - 1 assert_equal(G.number_of_edges(), expected_num_edges) assert_raises(nx.NetworkXError, nx.ring_of_cliques, 1, 5) assert_raises(nx.NetworkXError, nx.ring_of_cliques, 3, 0)

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79

0.629605

790

4,560

3.443038

0.108861

0.161765

0.169853

0.09375

0.857353

0.803676

0.779412

0.765809

0.725368

0.627941

0

0.080152

0.190132

4,560

125

80

36.48

0.656377

0.010746

0

0.423077

0

0.021956

0

0.509615

1

0.067308

false

0

0.019231

0

0.086538

0

null

0

1

0

null

0

1

0

7

fc5f6aa356a3cb59cf924e2abda8e4c89eb4f7a5

5,369

py

Python

src/the_tale/the_tale/accounts/friends/tests/test_prototypes.py

al-arz/the-tale

542770257eb6ebd56a5ac44ea1ef93ff4ab19eb5

[ "BSD-3-Clause" ]

85

2017-11-21T12:22:02.000Z

2022-03-27T23:07:17.000Z

src/the_tale/the_tale/accounts/friends/tests/test_prototypes.py

devapromix/the-tale

2a10efd3270734f8cf482b4cfbc5353ef8f0494c

[ "BSD-3-Clause" ]

545

2017-11-04T14:15:04.000Z

2022-03-27T14:19:27.000Z

src/the_tale/the_tale/accounts/friends/tests/test_prototypes.py

devapromix/the-tale

2a10efd3270734f8cf482b4cfbc5353ef8f0494c

[ "BSD-3-Clause" ]

45

2017-11-11T12:36:30.000Z

2022-02-25T06:10:44.000Z

import smart_imports smart_imports.all() class FriendshipPrototypeTests(utils_testcase.TestCase, personal_messages_helpers.Mixin): def setUp(self): super(FriendshipPrototypeTests, self).setUp() game_logic.create_test_map() self.account_1 = self.accounts_factory.create_account() self.account_2 = self.accounts_factory.create_account() self.account_3 = self.accounts_factory.create_account() personal_messages_tt_services.personal_messages.cmd_debug_clear_service() def test_request_friendship__own_request_exists(self): with self.check_new_message(self.account_2.id, [self.account_1.id]): own_request_1 = prototypes.FriendshipPrototype.request_friendship(self.account_1, self.account_2, 'text 1') own_request_2 = prototypes.FriendshipPrototype.request_friendship(self.account_1, self.account_2, 'text 2') self.assertEqual(own_request_1.id, own_request_2.id) self.assertFalse(own_request_2.is_confirmed) self.assertEqual(own_request_2.text_html, 'text 2') self.assertEqual(models.Friendship.objects.all().count(), 1) def test_request_friendship__his_request_exists(self): with self.check_new_message(self.account_2.id, [accounts_logic.get_system_user_id()]): with self.check_new_message(self.account_1.id, [self.account_2.id]): his_request = prototypes.FriendshipPrototype.request_friendship(self.account_2, self.account_1, 'text 1') own_request = prototypes.FriendshipPrototype.request_friendship(self.account_1, self.account_2, 'text 2') self.assertEqual(his_request.id, own_request.id) self.assertTrue(own_request.is_confirmed) self.assertEqual(own_request.text_html, 'text 1') self.assertEqual(models.Friendship.objects.all().count(), 1) def test_request_friendship__new_request(self): with self.check_new_message(self.account_2.id, [self.account_1.id]): own_request = prototypes.FriendshipPrototype.request_friendship(self.account_1, self.account_2, 'text 1') self.assertFalse(own_request.is_confirmed) self.assertEqual(own_request.text_html, 'text 1') self.assertEqual(models.Friendship.objects.all().count(), 1) def test_remove_friendship__own_request_exists(self): with self.check_new_message(self.account_2.id, [accounts_logic.get_system_user_id(), self.account_1.id], number=2): prototypes.FriendshipPrototype.request_friendship(self.account_1, self.account_2, 'text 1') prototypes.FriendshipPrototype.remove_friendship(self.account_1, self.account_2) def test_remove_friendship__his_request_exists(self): with self.check_new_message(self.account_2.id, [accounts_logic.get_system_user_id()]): with self.check_new_message(self.account_1.id, [self.account_2.id]): prototypes.FriendshipPrototype.request_friendship(self.account_2, self.account_1, 'text 1') prototypes.FriendshipPrototype.remove_friendship(self.account_1, self.account_2) self.assertEqual(models.Friendship.objects.all().count(), 0) def test_remove_friendship__no_requests(self): with self.check_no_messages(self.account_2.id): with self.check_no_messages(self.account_1.id): prototypes.FriendshipPrototype.remove_friendship(self.account_1, self.account_2) self.assertEqual(models.Friendship.objects.all().count(), 0) def test_get_friends_for__no_friendship(self): self.assertEqual(prototypes.FriendshipPrototype.get_friends_for(self.account_1), []) def test_get_friends_for__only_candidates(self): prototypes.FriendshipPrototype.request_friendship(self.account_1, self.account_2, 'text 1') prototypes.FriendshipPrototype.request_friendship(self.account_3, self.account_1, 'text 2') self.assertEqual(prototypes.FriendshipPrototype.get_friends_for(self.account_1), []) def test_get_friends_for__friends_exists(self): prototypes.FriendshipPrototype.request_friendship(self.account_1, self.account_2, 'text 1')._confirm() prototypes.FriendshipPrototype.request_friendship(self.account_3, self.account_1, 'text 2')._confirm() self.assertEqual(set(account.id for account in prototypes.FriendshipPrototype.get_friends_for(self.account_1)), set([self.account_2.id, self.account_3.id])) def test_get_candidates_for__no_friendship(self): self.assertEqual(prototypes.FriendshipPrototype.get_candidates_for(self.account_1), []) def test_get_candidates_for__only_friends(self): prototypes.FriendshipPrototype.request_friendship(self.account_1, self.account_2, 'text 1')._confirm() prototypes.FriendshipPrototype.request_friendship(self.account_3, self.account_1, 'text 2')._confirm() self.assertEqual(prototypes.FriendshipPrototype.get_candidates_for(self.account_1), []) def test_get_candidates_for__candidates_exists(self): prototypes.FriendshipPrototype.request_friendship(self.account_1, self.account_2, 'text 1') prototypes.FriendshipPrototype.request_friendship(self.account_3, self.account_1, 'text 2') self.assertEqual([account.id for account in prototypes.FriendshipPrototype.get_candidates_for(self.account_1)], [self.account_3.id])

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0.178815

0.097535

0.180912

0.8613

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0.739643

0.72968

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0.019965

0.14174

5,369

94

165

57.117021

0.807726

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fc86f623ff65381ecfaa7b123fb9627791c12fab

31,224

py

Python

TEST3D/GUI/0011003_page_femesh/log.py

usnistgov/OOF3D

4fd423a48aea9c5dc207520f02de53ae184be74c

[ "X11" ]

31

2015-04-01T15:59:36.000Z

2022-03-18T20:21:47.000Z

TEST3D/GUI/0011003_page_femesh/log.py

usnistgov/OOF3D

4fd423a48aea9c5dc207520f02de53ae184be74c

[ "X11" ]

3

2015-02-06T19:30:24.000Z

2017-05-25T14:14:31.000Z

TEST3D/GUI/0011003_page_femesh/log.py

usnistgov/OOF3D

4fd423a48aea9c5dc207520f02de53ae184be74c

[ "X11" ]

7

2015-01-23T15:19:22.000Z

2021-06-09T09:03:59.000Z

# -*- python -*- # This software was produced by NIST, an agency of the U.S. government, # and by statute is not subject to copyright in the United States. # Recipients of this software assume all responsibilities associated # with its operation, modification and maintenance. However, to # facilitate maintenance we ask that before distributing modified # versions of this software, you first contact the authors at # oof_manager@nist.gov. import tests #Testing FE Mesh page dependencies with the Field&Equations Page and the Solver Page. #Testing also the impact of the subproblem consistency and the fact that it is shown in the other pages. findWidget('OOF3D').resize(550, 350) findMenu(findWidget('OOF3D:MenuBar'), 'File:Load:Data').activate() checkpoint toplevel widget mapped Dialog-Data findWidget('Dialog-Data').resize(190, 65) findWidget('Dialog-Data:filename').set_text('TEST_DATA/triangle.skeleton') findWidget('Dialog-Data:gtk-ok').clicked() checkpoint meshable button set checkpoint meshable button set checkpoint microstructure page sensitized checkpoint pixel page updated checkpoint active area status updated checkpoint named analysis chooser set checkpoint microstructure page sensitized checkpoint Field page sensitized checkpoint meshable button set checkpoint Materials page updated checkpoint mesh page subproblems sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint pinnodes page sensitized checkpoint boundary page updated checkpoint skeleton selection page selection sensitized checkpoint skeleton selection page updated checkpoint skeleton selection page groups sensitized checkpoint skeleton selection page groups sensitized checkpoint Solver page sensitized checkpoint toplevel widget mapped OOF3D Activity Viewer findWidget('OOF3D Activity Viewer').resize(400, 300) checkpoint microstructure page sensitized checkpoint meshable button set checkpoint meshable button set checkpoint microstructure page sensitized checkpoint skeleton selection page groups sensitized checkpoint microstructure page sensitized checkpoint meshable button set checkpoint meshable button set checkpoint meshable button set checkpoint microstructure page sensitized checkpoint skeleton selection page groups sensitized checkpoint meshable button set checkpoint meshable button set checkpoint microstructure page sensitized checkpoint meshable button set checkpoint meshable button set checkpoint microstructure page sensitized checkpoint skeleton selection page groups sensitized checkpoint skeleton selection page selection sensitized checkpoint skeleton selection page groups sensitized checkpoint skeleton selection page updated checkpoint named analysis chooser set checkpoint Field page sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint pinnodes page sensitized checkpoint boundary page updated checkpoint skeleton selection page selection sensitized checkpoint Solver page sensitized checkpoint skeleton selection page groups sensitized checkpoint skeleton selection page groups sensitized checkpoint skeleton selection page updated checkpoint pinnodes page sensitized checkpoint pinnodes page sensitized checkpoint skeleton selection page groups sensitized checkpoint skeleton selection page groups sensitized checkpoint skeleton selection page groups sensitized checkpoint skeleton selection page groups sensitized checkpoint pinnodes page sensitized checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint boundary page updated checkpoint OOF.File.Load.Data widget_0=findWidget('OOF3D Activity Viewer') handled_0=widget_0.event(event(gtk.gdk.DELETE,window=widget_0.window)) postpone if not handled_0: widget_0.destroy() checkpoint OOF.ActivityViewer.File.Close setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'FE Mesh') checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint page installed FE Mesh assert tests.FEMeshPageInfoCheck() assert tests.FEMeshPageCheck1() assert tests.FEMeshPageSubproblemsCheck0() assert tests.FEMeshPageOperationsCheck0() assert tests.chooserCheck('OOF3D:FE Mesh Page:Microstructure', ['triangle']) assert tests.chooserStateCheck('OOF3D:FE Mesh Page:Microstructure', 'triangle') assert tests.chooserCheck('OOF3D:FE Mesh Page:Skeleton', ['skeleton']) assert tests.chooserStateCheck('OOF3D:FE Mesh Page:Skeleton', 'skeleton') findWidget('OOF3D:FE Mesh Page:Pane').set_position(304) findWidget('OOF3D').resize(559, 364) findWidget('OOF3D:FE Mesh Page:Pane').set_position(313) findWidget('OOF3D').resize(566, 371) findWidget('OOF3D:FE Mesh Page:Pane').set_position(320) findWidget('OOF3D').resize(580, 383) findWidget('OOF3D:FE Mesh Page:Pane').set_position(334) findWidget('OOF3D').resize(600, 400) findWidget('OOF3D:FE Mesh Page:Pane').set_position(354) findWidget('OOF3D').resize(611, 409) findWidget('OOF3D:FE Mesh Page:Pane').set_position(365) findWidget('OOF3D').resize(623, 417) findWidget('OOF3D:FE Mesh Page:Pane').set_position(377) findWidget('OOF3D').resize(635, 426) findWidget('OOF3D:FE Mesh Page:Pane').set_position(389) findWidget('OOF3D').resize(650, 441) findWidget('OOF3D:FE Mesh Page:Pane').set_position(404) findWidget('OOF3D').resize(664, 457) findWidget('OOF3D:FE Mesh Page:Pane').set_position(418) findWidget('OOF3D').resize(688, 478) findWidget('OOF3D:FE Mesh Page:Pane').set_position(442) findWidget('OOF3D').resize(701, 488) findWidget('OOF3D:FE Mesh Page:Pane').set_position(455) findWidget('OOF3D').resize(718, 501) findWidget('OOF3D:FE Mesh Page:Pane').set_position(472) findWidget('OOF3D').resize(727, 511) findWidget('OOF3D:FE Mesh Page:Pane').set_position(481) findWidget('OOF3D').resize(734, 516) findWidget('OOF3D:FE Mesh Page:Pane').set_position(488) findWidget('OOF3D').resize(740, 521) findWidget('OOF3D:FE Mesh Page:Pane').set_position(494) findWidget('OOF3D').resize(747, 522) findWidget('OOF3D:FE Mesh Page:Pane').set_position(501) findWidget('OOF3D').resize(752, 524) findWidget('OOF3D:FE Mesh Page:Pane').set_position(506) findWidget('OOF3D').resize(756, 526) findWidget('OOF3D:FE Mesh Page:Pane').set_position(510) findWidget('OOF3D').resize(761, 527) findWidget('OOF3D:FE Mesh Page:Pane').set_position(515) findWidget('OOF3D').resize(764, 527) findWidget('OOF3D:FE Mesh Page:Pane').set_position(518) findWidget('OOF3D').resize(766, 527) findWidget('OOF3D:FE Mesh Page:Pane').set_position(520) findWidget('OOF3D').resize(767, 527) findWidget('OOF3D:FE Mesh Page:Pane').set_position(521) findWidget('OOF3D').resize(770, 529) findWidget('OOF3D:FE Mesh Page:Pane').set_position(524) findWidget('OOF3D').resize(773, 530) findWidget('OOF3D:FE Mesh Page:Pane').set_position(527) findWidget('OOF3D').resize(778, 530) findWidget('OOF3D:FE Mesh Page:Pane').set_position(532) findWidget('OOF3D').resize(779, 531) findWidget('OOF3D:FE Mesh Page:Pane').set_position(533) setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'Fields & Equations') checkpoint Field page sensitized checkpoint Field page sensitized checkpoint page installed Fields & Equations assert tests.chooserCheck('OOF3D:Fields & Equations Page:Microstructure', ['triangle']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Microstructure', 'triangle') assert tests.chooserCheck('OOF3D:Fields & Equations Page:Skeleton', ['skeleton']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Skeleton', 'skeleton') assert tests.sensitizationCheck({"Mesh" : 0,"SubProblem" : 0},base="OOF3D:Fields & Equations Page") findWidget('OOF3D:Fields & Equations Page:HPane').set_position(348) setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'Solver') checkpoint Solver page sensitized checkpoint page installed Solver assert tests.chooserCheck('OOF3D:Solver Page:Microstructure', ['triangle']) assert tests.chooserStateCheck('OOF3D:Solver Page:Microstructure', 'triangle') assert tests.chooserCheck('OOF3D:Solver Page:Skeleton', ['skeleton']) assert tests.chooserStateCheck('OOF3D:Solver Page:Skeleton', 'skeleton') assert tests.sensitizationCheck({"Mesh" : 0},base="OOF3D:Solver Page") findWidget('OOF3D:Solver Page:VPane').set_position(185) setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'FE Mesh') checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint page installed FE Mesh assert tests.FEMeshPageInfoCheck() assert tests.FEMeshPageCheck1() assert tests.FEMeshPageSubproblemsCheck0() assert tests.FEMeshPageOperationsCheck0() assert tests.chooserCheck('OOF3D:FE Mesh Page:Microstructure', ['triangle']) assert tests.chooserStateCheck('OOF3D:FE Mesh Page:Microstructure', 'triangle') assert tests.chooserCheck('OOF3D:FE Mesh Page:Skeleton', ['skeleton']) assert tests.chooserStateCheck('OOF3D:FE Mesh Page:Skeleton', 'skeleton') findWidget('OOF3D:FE Mesh Page:New').clicked() checkpoint toplevel widget mapped Dialog-Create a new mesh findWidget('Dialog-Create a new mesh').resize(373, 229) findWidget('Dialog-Create a new mesh:gtk-ok').clicked() checkpoint named analysis chooser set checkpoint Field page sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint Solver page sensitized checkpoint Field page sensitized checkpoint mesh page subproblems sensitized checkpoint Solver page sensitized checkpoint Field page sensitized checkpoint Solver page sensitized checkpoint OOF.Mesh.New assert tests.FEMeshPageCheck2() assert tests.FEMeshPageSubproblemsCheck1() assert tests.FEMeshPageOperationsCheck1() assert tests.chooserCheck('OOF3D:FE Mesh Page:Mesh', ['mesh']) assert tests.chooserStateCheck('OOF3D:FE Mesh Page:Mesh', 'mesh') assert tests.subproblemsCheck(['default']) setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'Fields & Equations') checkpoint Field page sensitized checkpoint Field page sensitized checkpoint page installed Fields & Equations assert tests.chooserCheck('OOF3D:Fields & Equations Page:Microstructure', ['triangle']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Microstructure', 'triangle') assert tests.chooserCheck('OOF3D:Fields & Equations Page:Skeleton', ['skeleton']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Skeleton', 'skeleton') assert tests.chooserCheck('OOF3D:Fields & Equations Page:Mesh', ['mesh']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Mesh', 'mesh') assert tests.chooserCheck('OOF3D:Fields & Equations Page:SubProblem', ['default']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:SubProblem', 'default') setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'Solver') checkpoint Solver page sensitized checkpoint page installed Solver assert tests.chooserCheck('OOF3D:Solver Page:Microstructure', ['triangle']) assert tests.chooserStateCheck('OOF3D:Solver Page:Microstructure', 'triangle') assert tests.chooserCheck('OOF3D:Solver Page:Skeleton', ['skeleton']) assert tests.chooserStateCheck('OOF3D:Solver Page:Skeleton', 'skeleton') assert tests.chooserCheck('OOF3D:Solver Page:Mesh', ['mesh']) assert tests.chooserStateCheck('OOF3D:Solver Page:Mesh', 'mesh') setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'FE Mesh') checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint page installed FE Mesh assert tests.FEMeshPageCheck2() assert tests.FEMeshPageSubproblemsCheck1() assert tests.FEMeshPageOperationsCheck1() assert tests.chooserCheck('OOF3D:FE Mesh Page:Mesh', ['mesh']) assert tests.chooserStateCheck('OOF3D:FE Mesh Page:Mesh', 'mesh') assert tests.subproblemsCheck(['default']) findWidget('OOF3D:FE Mesh Page:Pane:Subproblems:New').clicked() checkpoint toplevel widget mapped Dialog-Create a new subproblem findWidget('Dialog-Create a new subproblem').resize(286, 94) findWidget('Dialog-Create a new subproblem:gtk-ok').clicked() checkpoint mesh page subproblems sensitized checkpoint Solver page sensitized checkpoint OOF.Subproblem.New assert tests.subproblemsCheck(['default','subproblem']) assert tests.subproblemsConsistencies([True, True]) findWidget('OOF3D:FE Mesh Page:Pane:Subproblems:New').clicked() checkpoint toplevel widget mapped Dialog-Create a new subproblem findWidget('Dialog-Create a new subproblem').resize(286, 94) setComboBox(findWidget('Dialog-Create a new subproblem:subproblem:Chooser'), 'Complement') findWidget('Dialog-Create a new subproblem').resize(365, 121) setComboBox(findWidget('Dialog-Create a new subproblem:subproblem:Complement:complement_of'), 'subproblem') findWidget('Dialog-Create a new subproblem:gtk-ok').clicked() checkpoint mesh page subproblems sensitized findWidget('OOF3D Messages 1').resize(543, 200) checkpoint Solver page sensitized checkpoint OOF.Subproblem.New assert tests.subproblemsCheck(['default','subproblem','subproblem<2>']) assert tests.subproblemsConsistencies([True, True, True]) setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'Fields & Equations') checkpoint Field page sensitized checkpoint Field page sensitized checkpoint page installed Fields & Equations assert tests.chooserCheck('OOF3D:Fields & Equations Page:Microstructure', ['triangle']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Microstructure', 'triangle') assert tests.chooserCheck('OOF3D:Fields & Equations Page:Skeleton', ['skeleton']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Skeleton', 'skeleton') assert tests.chooserCheck('OOF3D:Fields & Equations Page:Mesh', ['mesh']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Mesh', 'mesh') assert tests.chooserCheck('OOF3D:Fields & Equations Page:SubProblem', ['default','subproblem','subproblem<2>']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:SubProblem', 'default') setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'Solver') checkpoint Solver page sensitized checkpoint page installed Solver assert tests.chooserCheck('OOF3D:Solver Page:Microstructure', ['triangle']) assert tests.chooserStateCheck('OOF3D:Solver Page:Microstructure', 'triangle') assert tests.chooserCheck('OOF3D:Solver Page:Skeleton', ['skeleton']) assert tests.chooserStateCheck('OOF3D:Solver Page:Skeleton', 'skeleton') assert tests.chooserCheck('OOF3D:Solver Page:Mesh', ['mesh']) assert tests.chooserStateCheck('OOF3D:Solver Page:Mesh', 'mesh') setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'FE Mesh') checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint page installed FE Mesh findWidget('OOF3D:FE Mesh Page:Pane:Subproblems:SubproblemScroll:SubproblemList').get_selection().select_path((1,)) checkpoint mesh page subproblems sensitized findWidget('OOF3D:FE Mesh Page:Pane:Subproblems:Edit').clicked() checkpoint toplevel widget mapped Dialog-Edit Subproblem definition findWidget('Dialog-Edit Subproblem definition').resize(244, 73) setComboBox(findWidget('Dialog-Edit Subproblem definition:subproblem:Chooser'), 'Complement') findWidget('Dialog-Edit Subproblem definition').resize(389, 100) setComboBox(findWidget('Dialog-Edit Subproblem definition:subproblem:Complement:complement_of'), 'subproblem<2>') findWidget('Dialog-Edit Subproblem definition:gtk-ok').clicked() findWidget('OOF3D Messages 1').resize(573, 200) checkpoint mesh page subproblems sensitized checkpoint Solver page sensitized checkpoint mesh page subproblems sensitized checkpoint Solver page sensitized checkpoint Solver page sensitized checkpoint Solver page sensitized checkpoint named analysis chooser set checkpoint Solver page sensitized checkpoint Field page sensitized checkpoint Solver page sensitized checkpoint Field page sensitized checkpoint Solver page sensitized checkpoint OOF.Subproblem.Edit assert tests.subproblemsCheck(['default','subproblem<2>','subproblem']) assert tests.subproblemsConsistencies([True, False, False]) setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'Fields & Equations') checkpoint Field page sensitized checkpoint Field page sensitized checkpoint page installed Fields & Equations assert tests.chooserCheck('OOF3D:Fields & Equations Page:Microstructure', ['triangle']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Microstructure', 'triangle') assert tests.chooserCheck('OOF3D:Fields & Equations Page:Skeleton', ['skeleton']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Skeleton', 'skeleton') assert tests.chooserCheck('OOF3D:Fields & Equations Page:Mesh', ['mesh']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Mesh', 'mesh') assert tests.chooserCheck('OOF3D:Fields & Equations Page:SubProblem', ['default']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:SubProblem', 'default') setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'Solver') checkpoint Solver page sensitized checkpoint page installed Solver assert tests.chooserCheck('OOF3D:Solver Page:Microstructure', ['triangle']) assert tests.chooserStateCheck('OOF3D:Solver Page:Microstructure', 'triangle') assert tests.chooserCheck('OOF3D:Solver Page:Skeleton', ['skeleton']) assert tests.chooserStateCheck('OOF3D:Solver Page:Skeleton', 'skeleton') assert tests.chooserCheck('OOF3D:Solver Page:Mesh', ['mesh']) assert tests.chooserStateCheck('OOF3D:Solver Page:Mesh', 'mesh') setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'FE Mesh') checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint page installed FE Mesh findWidget('OOF3D:FE Mesh Page:Pane:Subproblems:New').clicked() checkpoint toplevel widget mapped Dialog-Create a new subproblem findWidget('Dialog-Create a new subproblem').resize(389, 121) setComboBox(findWidget('Dialog-Create a new subproblem:subproblem:Chooser'), 'EntireMesh') findWidget('Dialog-Create a new subproblem:gtk-ok').clicked() checkpoint mesh page subproblems sensitized checkpoint Solver page sensitized checkpoint OOF.Subproblem.New assert tests.subproblemsCheck(['default','subproblem<2>','subproblem','subproblem<3>']) assert tests.subproblemsConsistencies([True, False, False, True]) setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'Fields & Equations') checkpoint Field page sensitized checkpoint Field page sensitized checkpoint page installed Fields & Equations assert tests.chooserCheck('OOF3D:Fields & Equations Page:Microstructure', ['triangle']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Microstructure', 'triangle') assert tests.chooserCheck('OOF3D:Fields & Equations Page:Skeleton', ['skeleton']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Skeleton', 'skeleton') assert tests.chooserCheck('OOF3D:Fields & Equations Page:Mesh', ['mesh']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Mesh', 'mesh') assert tests.chooserCheck('OOF3D:Fields & Equations Page:SubProblem', ['default','subproblem<3>']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:SubProblem', 'default') setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'Solver') checkpoint Solver page sensitized checkpoint page installed Solver assert tests.chooserCheck('OOF3D:Solver Page:Microstructure', ['triangle']) assert tests.chooserStateCheck('OOF3D:Solver Page:Microstructure', 'triangle') assert tests.chooserCheck('OOF3D:Solver Page:Skeleton', ['skeleton']) assert tests.chooserStateCheck('OOF3D:Solver Page:Skeleton', 'skeleton') assert tests.chooserCheck('OOF3D:Solver Page:Mesh', ['mesh']) assert tests.chooserStateCheck('OOF3D:Solver Page:Mesh', 'mesh') setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'FE Mesh') checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint page installed FE Mesh findWidget('OOF3D:FE Mesh Page:Pane:Subproblems:SubproblemScroll:SubproblemList').get_selection().select_path((3,)) checkpoint mesh page subproblems sensitized findWidget('OOF3D:FE Mesh Page:Pane:Subproblems:Edit').clicked() checkpoint toplevel widget mapped Dialog-Edit Subproblem definition findWidget('Dialog-Edit Subproblem definition').resize(244, 73) setComboBox(findWidget('Dialog-Edit Subproblem definition:subproblem:Chooser'), 'Complement') findWidget('Dialog-Edit Subproblem definition').resize(389, 100) findWidget('Dialog-Edit Subproblem definition:gtk-ok').clicked() checkpoint mesh page subproblems sensitized checkpoint Solver page sensitized checkpoint mesh page subproblems sensitized checkpoint Solver page sensitized checkpoint Solver page sensitized checkpoint Solver page sensitized checkpoint named analysis chooser set checkpoint Solver page sensitized checkpoint Field page sensitized checkpoint Solver page sensitized checkpoint Field page sensitized checkpoint Solver page sensitized checkpoint OOF.Subproblem.Edit assert tests.subproblemsCheck(['default','subproblem<2>','subproblem','subproblem<3>']) assert tests.subproblemsConsistencies([True, False, False, False]) setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'Fields & Equations') checkpoint Field page sensitized checkpoint Field page sensitized checkpoint page installed Fields & Equations assert tests.chooserCheck('OOF3D:Fields & Equations Page:Microstructure', ['triangle']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Microstructure', 'triangle') assert tests.chooserCheck('OOF3D:Fields & Equations Page:Skeleton', ['skeleton']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Skeleton', 'skeleton') assert tests.chooserCheck('OOF3D:Fields & Equations Page:Mesh', ['mesh']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Mesh', 'mesh') assert tests.chooserCheck('OOF3D:Fields & Equations Page:SubProblem', ['default']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:SubProblem', 'default') setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'Solver') checkpoint Solver page sensitized checkpoint page installed Solver assert tests.chooserCheck('OOF3D:Solver Page:Microstructure', ['triangle']) assert tests.chooserStateCheck('OOF3D:Solver Page:Microstructure', 'triangle') assert tests.chooserCheck('OOF3D:Solver Page:Skeleton', ['skeleton']) assert tests.chooserStateCheck('OOF3D:Solver Page:Skeleton', 'skeleton') assert tests.chooserCheck('OOF3D:Solver Page:Mesh', ['mesh']) assert tests.chooserStateCheck('OOF3D:Solver Page:Mesh', 'mesh') setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'FE Mesh') checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint page installed FE Mesh findWidget('OOF3D:FE Mesh Page:Pane:Subproblems:SubproblemScroll:SubproblemList').get_selection().select_path((2,)) checkpoint mesh page subproblems sensitized findWidget('OOF3D:FE Mesh Page:Pane:Subproblems:Edit').clicked() checkpoint toplevel widget mapped Dialog-Edit Subproblem definition findWidget('Dialog-Edit Subproblem definition').resize(389, 100) setComboBox(findWidget('Dialog-Edit Subproblem definition:subproblem:Chooser'), 'EntireMesh') findWidget('Dialog-Edit Subproblem definition:gtk-ok').clicked() checkpoint mesh page subproblems sensitized checkpoint Solver page sensitized checkpoint mesh page subproblems sensitized checkpoint Solver page sensitized checkpoint Solver page sensitized checkpoint Solver page sensitized checkpoint named analysis chooser set checkpoint Solver page sensitized checkpoint Field page sensitized checkpoint Solver page sensitized checkpoint Field page sensitized checkpoint Solver page sensitized checkpoint OOF.Subproblem.Edit assert tests.subproblemsCheck(['default','subproblem<2>','subproblem<3>','subproblem']) assert tests.subproblemsConsistencies([True, True, True, True]) setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'Fields & Equations') checkpoint Field page sensitized checkpoint Field page sensitized checkpoint page installed Fields & Equations assert tests.chooserCheck('OOF3D:Fields & Equations Page:Microstructure', ['triangle']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Microstructure', 'triangle') assert tests.chooserCheck('OOF3D:Fields & Equations Page:Skeleton', ['skeleton']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Skeleton', 'skeleton') assert tests.chooserCheck('OOF3D:Fields & Equations Page:Mesh', ['mesh']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Mesh', 'mesh') assert tests.chooserCheck('OOF3D:Fields & Equations Page:SubProblem', ['default','subproblem<2>','subproblem<3>','subproblem']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:SubProblem', 'default') setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'Solver') checkpoint Solver page sensitized checkpoint page installed Solver assert tests.chooserCheck('OOF3D:Solver Page:Microstructure', ['triangle']) assert tests.chooserStateCheck('OOF3D:Solver Page:Microstructure', 'triangle') assert tests.chooserCheck('OOF3D:Solver Page:Skeleton', ['skeleton']) assert tests.chooserStateCheck('OOF3D:Solver Page:Skeleton', 'skeleton') assert tests.chooserCheck('OOF3D:Solver Page:Mesh', ['mesh']) assert tests.chooserStateCheck('OOF3D:Solver Page:Mesh', 'mesh') findWidget('OOF3D:Solver Page:VPane:Subproblems:SubproblemScroll').get_vadjustment().set_value( 1.4000000000000e+01) findWidget('OOF3D:Solver Page:VPane:Subproblems:SubproblemScroll').get_vadjustment().set_value( 0.0000000000000e+00) setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'FE Mesh') checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint page installed FE Mesh findWidget('OOF3D:FE Mesh Page:Pane:Subproblems:SubproblemScroll:SubproblemList').get_selection().select_path((3,)) checkpoint mesh page subproblems sensitized findWidget('OOF3D:FE Mesh Page:Pane:Subproblems:Delete').clicked() checkpoint toplevel widget mapped Questioner findWidget('Questioner').resize(354, 87) findWidget('Questioner:gtk-yes').clicked() checkpoint mesh page subproblems sensitized checkpoint Solver page sensitized checkpoint mesh page subproblems sensitized checkpoint Solver page sensitized checkpoint mesh page subproblems sensitized checkpoint Solver page sensitized checkpoint OOF.Subproblem.Delete assert tests.subproblemsCheck(['default']) setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'Fields & Equations') checkpoint Field page sensitized checkpoint Field page sensitized checkpoint page installed Fields & Equations assert tests.chooserCheck('OOF3D:Fields & Equations Page:Microstructure', ['triangle']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Microstructure', 'triangle') assert tests.chooserCheck('OOF3D:Fields & Equations Page:Skeleton', ['skeleton']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Skeleton', 'skeleton') assert tests.chooserCheck('OOF3D:Fields & Equations Page:Mesh', ['mesh']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:Mesh', 'mesh') assert tests.chooserCheck('OOF3D:Fields & Equations Page:SubProblem', ['default']) assert tests.chooserStateCheck('OOF3D:Fields & Equations Page:SubProblem', 'default') setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'Solver') checkpoint Solver page sensitized checkpoint page installed Solver assert tests.chooserCheck('OOF3D:Solver Page:Microstructure', ['triangle']) assert tests.chooserStateCheck('OOF3D:Solver Page:Microstructure', 'triangle') assert tests.chooserCheck('OOF3D:Solver Page:Skeleton', ['skeleton']) assert tests.chooserStateCheck('OOF3D:Solver Page:Skeleton', 'skeleton') assert tests.chooserCheck('OOF3D:Solver Page:Mesh', ['mesh']) assert tests.chooserStateCheck('OOF3D:Solver Page:Mesh', 'mesh') setComboBox(findWidget('OOF3D:Navigation:PageMenu'), 'FE Mesh') checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page subproblems sensitized checkpoint mesh page sensitized checkpoint page installed FE Mesh findMenu(findWidget('OOF3D:MenuBar'), 'File:Save:Python_Log').activate() checkpoint toplevel widget mapped Dialog-Python_Log findWidget('Dialog-Python_Log').resize(190, 92) findWidget('Dialog-Python_Log:filename').set_text('meshpage.log') findWidget('Dialog-Python_Log:gtk-ok').clicked() checkpoint OOF.File.Save.Python_Log assert tests.filediff('meshpage.log') widget_1=findWidget('OOF3D') handled_1=widget_1.event(event(gtk.gdk.DELETE,window=widget_1.window))

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8

5dda4dcb51047325df03549dd4a0de97c152077a

11,478

py

Python

tests/test_gpnh_convex_coding.py

azedarach/matrix-factorization-case-studies

b689c8af677c378bad75f68e56671a5c6f6589ec

[ "MIT" ]

null

tests/test_gpnh_convex_coding.py

azedarach/matrix-factorization-case-studies

b689c8af677c378bad75f68e56671a5c6f6589ec

[ "MIT" ]

null

tests/test_gpnh_convex_coding.py

azedarach/matrix-factorization-case-studies

b689c8af677c378bad75f68e56671a5c6f6589ec

[ "MIT" ]

null

""" Provides unit tests for GPNH regularized convex coding. """ # License: MIT import numpy as np from sklearn.utils import check_random_state from convex_dim_red import right_stochastic_matrix from convex_dim_red.gpnh_convex_coding import ( _gpnh_cost, _iterate_gpnh_convex_coding, _update_gpnh_dictionary, _update_gpnh_weights) def test_cost_returns_zero_for_perfect_reconstruction_no_regularization(): """Test cost is zero for perfect factorization.""" random_seed = 0 random_state = check_random_state(random_seed) n_features = 5 n_components = 3 n_samples = 30 tolerance = 1e-14 lambda_W = 0 W = random_state.uniform(size=(n_features, n_components)) Z = right_stochastic_matrix( (n_samples, n_components), random_state=random_state) assert np.allclose(Z.sum(axis=1), 1, tolerance) X = Z.dot(W.T) cost = _gpnh_cost(X, Z, W, lambda_W=lambda_W) expected_cost = 0 assert abs(cost - expected_cost) < 1e-14 def test_single_dictionary_update_reduces_cost_function_with_zero_lambda(): """Test single dictionary update reduces cost function.""" random_seed = 0 random_state = check_random_state(random_seed) n_features = 7 n_components = 5 n_samples = 450 lambda_W = 0 X = random_state.uniform(size=(n_samples, n_features)) W = random_state.uniform(size=(n_features, n_components)) Z = right_stochastic_matrix( (n_samples, n_components), random_state=random_state) assert np.allclose(Z.sum(axis=1), 1, 1e-14) prefactor = (4.0 / (n_features * n_components * (n_components - 1))) GW = prefactor * (n_components * np.eye(n_components) - 1) ZtZ = Z.T.dot(Z) initial_cost = _gpnh_cost(X, Z, W, lambda_W=lambda_W) updated_W = _update_gpnh_dictionary(X, Z, ZtZ, GW, lambda_W=lambda_W) final_cost = _gpnh_cost(X, Z, updated_W, lambda_W=lambda_W) assert final_cost <= initial_cost def test_single_dictionary_update_reduces_cost_function_with_nonzero_lambda(): """Test single dictionary update reduces regularized cost function.""" random_seed = 0 random_state = check_random_state(random_seed) n_features = 11 n_components = 6 n_samples = 230 lambda_W = 3.2 X = random_state.uniform(size=(n_samples, n_features)) W = random_state.uniform(size=(n_features, n_components)) Z = right_stochastic_matrix( (n_samples, n_components), random_state=random_state) assert np.allclose(Z.sum(axis=1), 1, 1e-14) prefactor = (4.0 / (n_features * n_components * (n_components - 1))) GW = prefactor * (n_components * np.eye(n_components) - 1) ZtZ = Z.T.dot(Z) initial_cost = _gpnh_cost(X, Z, W, lambda_W=lambda_W) updated_W = _update_gpnh_dictionary(X, Z, ZtZ, GW, lambda_W=lambda_W) final_cost = _gpnh_cost(X, Z, updated_W, lambda_W=lambda_W) assert final_cost <= initial_cost def test_exact_solution_is_dictionary_update_fixed_point(): """Test exact solution is a fixed point of dictionary update step.""" random_seed = 0 random_state = check_random_state(random_seed) n_features = 10 n_components = 6 n_samples = 40 lambda_W = 0 tolerance = 1e-6 W = random_state.uniform(size=(n_features, n_components)) Z = right_stochastic_matrix( (n_samples, n_components), random_state=random_state) assert np.allclose(Z.sum(axis=1), 1, tolerance) X = Z.dot(W.T) prefactor = (4.0 / (n_features * n_components * (n_components - 1))) GW = prefactor * (n_components * np.eye(n_components) - 1) ZtZ = Z.T.dot(Z) initial_cost = _gpnh_cost(X, Z, W, lambda_W=lambda_W) updated_W = _update_gpnh_dictionary(X, Z, ZtZ, GW, lambda_W=lambda_W) final_cost = _gpnh_cost(X, Z, updated_W, lambda_W=lambda_W) assert np.allclose(updated_W, W, tolerance) assert abs(final_cost - initial_cost) < tolerance def test_repeated_dictionary_updates_converge_with_zero_lambda(): """Test repeated updates converge to fixed point.""" random_seed = 0 random_state = check_random_state(random_seed) n_features = 13 n_components = 3 n_samples = 50 max_iterations = 100 tolerance = 1e-6 lambda_W = 0 X = random_state.uniform(size=(n_samples, n_features)) W = random_state.uniform(size=(n_features, n_components)) Z = right_stochastic_matrix( (n_samples, n_components), random_state=random_state) assert np.allclose(Z.sum(axis=1), 1, 1e-12) initial_cost = _gpnh_cost(X, Z, W, lambda_W=lambda_W) updated_Z, updated_W, _, n_iter, _, _ = _iterate_gpnh_convex_coding( X, Z, W, lambda_W=lambda_W, update_weights=False, update_dictionary=True, tolerance=tolerance, max_iterations=max_iterations, require_monotonic_cost_decrease=True) final_cost = _gpnh_cost(X, updated_Z, updated_W, lambda_W=lambda_W) assert final_cost <= initial_cost assert n_iter < max_iterations def test_repeated_dictionary_updates_converge_with_nonzero_lambda(): """Test repeated updates converge to fixed point for regularized problem.""" random_seed = 0 random_state = check_random_state(random_seed) n_features = 27 n_components = 13 n_samples = 500 max_iterations = 100 tolerance = 1e-6 lambda_W = 1.5 X = random_state.uniform(size=(n_samples, n_features)) W = random_state.uniform(size=(n_features, n_components)) Z = right_stochastic_matrix( (n_samples, n_components), random_state=random_state) assert np.allclose(Z.sum(axis=1), 1, 1e-12) initial_cost = _gpnh_cost(X, Z, W, lambda_W=lambda_W) updated_Z, updated_W, _, n_iter, _, _ = _iterate_gpnh_convex_coding( X, Z, W, lambda_W=lambda_W, update_weights=False, update_dictionary=True, tolerance=tolerance, max_iterations=max_iterations, require_monotonic_cost_decrease=True, verbose=True) final_cost = _gpnh_cost(X, updated_Z, updated_W, lambda_W=lambda_W) assert final_cost <= initial_cost assert n_iter < max_iterations def test_single_weights_updates_reduces_cost_function_with_zero_lambda(): """Test single weights update reduces cost function.""" random_seed = 0 random_state = check_random_state(random_seed) n_features = 25 n_components = 6 n_samples = 300 lambda_W = 0 X = random_state.uniform(size=(n_samples, n_features)) W = random_state.uniform(size=(n_features, n_components)) Z = right_stochastic_matrix( (n_samples, n_components), random_state=random_state) assert np.allclose(Z.sum(axis=1), 1, 1e-14) initial_cost = _gpnh_cost(X, Z, W, lambda_W=lambda_W) updated_Z = _update_gpnh_weights(X, Z, W) final_cost = _gpnh_cost(X, updated_Z, W, lambda_W=lambda_W) assert final_cost <= initial_cost def test_single_weights_updates_reduces_cost_function_with_nonzero_lambda(): """Test single weights update reduces cost function.""" random_seed = 0 random_state = check_random_state(random_seed) n_features = 43 n_components = 10 n_samples = 320 lambda_W = 4.2 X = random_state.uniform(size=(n_samples, n_features)) W = random_state.uniform(size=(n_features, n_components)) Z = right_stochastic_matrix( (n_samples, n_components), random_state=random_state) assert np.allclose(Z.sum(axis=1), 1, 1e-14) initial_cost = _gpnh_cost(X, Z, W, lambda_W=lambda_W) updated_Z = _update_gpnh_weights(X, Z, W) final_cost = _gpnh_cost(X, updated_Z, W, lambda_W=lambda_W) assert final_cost <= initial_cost def test_exact_solution_is_weights_update_fixed_point_with_zero_lambda(): """Test exact solution is a fixed point of weights update step.""" random_seed = 0 random_state = check_random_state(random_seed) n_features = 14 n_components = 5 n_samples = 324 lambda_W = 0 tolerance = 1e-6 W = random_state.uniform(size=(n_features, n_components)) Z = right_stochastic_matrix( (n_samples, n_components), random_state=random_state) assert np.allclose(Z.sum(axis=1), 1, tolerance) X = Z.dot(W.T) initial_cost = _gpnh_cost(X, Z, W, lambda_W=lambda_W) updated_Z = _update_gpnh_weights(X, Z, W) final_cost = _gpnh_cost(X, updated_Z, W, lambda_W=lambda_W) assert np.allclose(Z, updated_Z, tolerance) assert abs(final_cost - initial_cost) < tolerance def test_exact_solution_is_weights_update_fixed_point_with_nonzero_lambda(): """Test exact solution is a fixed point of regularized weights update step.""" random_seed = 0 random_state = check_random_state(random_seed) n_features = 24 n_components = 8 n_samples = 200 lambda_W = 3.8 tolerance = 1e-6 W = random_state.uniform(size=(n_features, n_components)) Z = right_stochastic_matrix( (n_samples, n_components), random_state=random_state) assert np.allclose(Z.sum(axis=1), 1, tolerance) X = Z.dot(W.T) initial_cost = _gpnh_cost(X, Z, W, lambda_W=lambda_W) updated_Z = _update_gpnh_weights(X, Z, W) final_cost = _gpnh_cost(X, updated_Z, W, lambda_W=lambda_W) assert np.allclose(Z, updated_Z, tolerance) assert abs(final_cost - initial_cost) < tolerance def test_repeated_weights_updates_converge_with_zero_lambda(): """Test repeated weights updates converge to fixed point.""" random_seed = 0 random_state = check_random_state(random_seed) n_features = 43 n_components = 3 n_samples = 100 max_iterations = 100 tolerance = 1e-6 lambda_W = 0 X = random_state.uniform(size=(n_samples, n_features)) W = random_state.uniform(size=(n_features, n_components)) Z = right_stochastic_matrix( (n_samples, n_components), random_state=random_state) assert np.allclose(Z.sum(axis=1), 1, 1e-12) initial_cost = _gpnh_cost(X, Z, W, lambda_W=lambda_W) updated_Z, updated_W, _, n_iter, _, _ = _iterate_gpnh_convex_coding( X, Z, W, lambda_W=lambda_W, update_weights=True, update_dictionary=False, tolerance=tolerance, max_iterations=max_iterations, require_monotonic_cost_decrease=True) final_cost = _gpnh_cost(X, updated_Z, updated_W, lambda_W=lambda_W) assert final_cost <= initial_cost assert n_iter < max_iterations def test_repeated_weights_updates_converge_with_nonzero_lambda(): """Test repeated weights updates converge to fixed point for regularized problem.""" random_seed = 0 random_state = check_random_state(random_seed) n_features = 12 n_components = 6 n_samples = 500 max_iterations = 100 tolerance = 1e-6 lambda_W = 6.2 X = random_state.uniform(size=(n_samples, n_features)) W = random_state.uniform(size=(n_features, n_components)) Z = right_stochastic_matrix( (n_samples, n_components), random_state=random_state) assert np.allclose(Z.sum(axis=1), 1, 1e-12) initial_cost = _gpnh_cost(X, Z, W, lambda_W=lambda_W) updated_Z, updated_W, _, n_iter, _, _ = _iterate_gpnh_convex_coding( X, Z, W, lambda_W=lambda_W, update_weights=True, update_dictionary=False, tolerance=tolerance, max_iterations=max_iterations, require_monotonic_cost_decrease=True) final_cost = _gpnh_cost(X, updated_Z, updated_W, lambda_W=lambda_W) assert final_cost <= initial_cost assert n_iter < max_iterations

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7

5dfc52eaf374d1cb778b1c7bad4cbff511c4c3f3

14,424

py

Python

goldstone/core/tests_producer_view.py

Solinea/goldstone-server

91b078ca9fed1b33f48dc79f4af5c9d1817a1bc5

[ "Apache-2.0" ]

14

2015-05-18T22:11:11.000Z

2020-08-14T06:50:09.000Z

goldstone/core/tests_producer_view.py

lexjacobs/goldstone-server

91b078ca9fed1b33f48dc79f4af5c9d1817a1bc5

[ "Apache-2.0" ]

568

2015-05-17T01:26:36.000Z

2021-06-10T20:36:47.000Z

goldstone/core/tests_producer_view.py

lexjacobs/goldstone-server

91b078ca9fed1b33f48dc79f4af5c9d1817a1bc5

[ "Apache-2.0" ]

22

2015-05-25T20:16:06.000Z

2021-08-08T20:25:24.000Z

"""Unit tests for AlertDefinition views.""" # Copyright 2016 Solinea, Inc. # # 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 json from rest_framework import status from rest_framework.test import APITestCase from goldstone.core.models import SavedSearch, AlertDefinition, Alert, \ EmailProducer from goldstone.test_utils import CONTENT_NO_CREDENTIALS, \ AUTHORIZATION_PAYLOAD, BAD_TOKEN, CONTENT_BAD_TOKEN, create_and_login PRODUCER_URL = '/core/producer/' EMAIL_PRODUCER_URL = '/core/email_producer/' class ProducerViewTests(APITestCase): """ Test Producer API """ fixtures = ['core_initial_data.yaml'] def setUp(self): self.saved_search = SavedSearch.objects.all()[0] self.alert_def = AlertDefinition(name='alert_def', search=self.saved_search) self.alert_def.save() self.alert = Alert(short_message='test', long_message='test123', alert_def=self.alert_def) self.alert.save() self.producer = EmailProducer(sender='me@localhost', receiver='you@localhost', alert_def=self.alert_def) self.producer.save() self.basic_post_body = { 'sender': 'bell@xyz.com', 'receiver': 'watson@xyz.com', 'alert_def': self.alert_def.uuid } def test_not_logged_in(self): """All operations should fail when not logged in.""" # Try getting resource with no token. response = self.client.get(PRODUCER_URL) self.assertContains(response, CONTENT_NO_CREDENTIALS, status_code=status.HTTP_401_UNAUTHORIZED) # Try getting resource a bogus token. response = self.client.get( PRODUCER_URL, HTTP_AUTHORIZATION=AUTHORIZATION_PAYLOAD % BAD_TOKEN) self.assertContains(response, CONTENT_BAD_TOKEN, status_code=status.HTTP_401_UNAUTHORIZED) # Try creating resource with no token. response = self.client.post(PRODUCER_URL, json.dumps(self.basic_post_body), content_type="application/json") self.assertContains(response, CONTENT_NO_CREDENTIALS, status_code=status.HTTP_401_UNAUTHORIZED) # Try creating resource with a bogus token. response = self.client.post( PRODUCER_URL, json.dumps(self.basic_post_body), content_type="application/json", HTTP_AUTHORIZATION=AUTHORIZATION_PAYLOAD % BAD_TOKEN) self.assertContains(response, CONTENT_BAD_TOKEN, status_code=status.HTTP_401_UNAUTHORIZED) # Try updating resource with no token. response = self.client.put( PRODUCER_URL + self.alert_def.uuid + '/', json.dumps(self.basic_post_body), content_type="application/json") self.assertContains(response, CONTENT_NO_CREDENTIALS, status_code=status.HTTP_401_UNAUTHORIZED) # Try updating resource with a bogus token. response = self.client.put( PRODUCER_URL + self.alert_def.uuid + '/', json.dumps(self.basic_post_body), content_type="application/json", HTTP_AUTHORIZATION=AUTHORIZATION_PAYLOAD % BAD_TOKEN) self.assertContains(response, CONTENT_BAD_TOKEN, status_code=status.HTTP_401_UNAUTHORIZED) def test_post_not_allowed(self): """POST operation tests""" # Create a user and get the authorization token. Then do the test. token = create_and_login() # Try creating resource with a valid token. response = self.client.post( PRODUCER_URL, json.dumps(self.basic_post_body), content_type="application/json", HTTP_AUTHORIZATION=AUTHORIZATION_PAYLOAD % token) # pylint: disable=E1101 self.assertEqual(response.status_code, status.HTTP_405_METHOD_NOT_ALLOWED) def test_get(self): """GET operation tests""" # Create a user and get the authorization token. Then do the test. token = create_and_login() # We should have at least one result in our list, but could have more response = self.client.get( PRODUCER_URL, accept="application/json", HTTP_AUTHORIZATION=AUTHORIZATION_PAYLOAD % token) self.assertEqual(response.status_code, status.HTTP_200_OK) content = json.loads(response.content) self.assertIn('count', content) self.assertIn('next', content) self.assertIn('previous', content) self.assertIn('results', content) self.assertIsInstance(content['results'], list) self.assertGreater(len(content['results']), 0) # test the structure of the one we loaded response = self.client.get( PRODUCER_URL + "%s/" % self.producer.uuid, accept="application/json", HTTP_AUTHORIZATION=AUTHORIZATION_PAYLOAD % token) self.assertEqual(response.status_code, status.HTTP_200_OK) content = json.loads(response.content) self.assertIn('uuid', content) self.assertIn('alert_def', content) self.assertIn('created', content) self.assertIn('updated', content) self.assertIn('sender', content) self.assertIn('receiver', content) def test_delete_not_allowed(self): """DELETE operation tests""" # Create a user and get the authorization token. Then do the test. token = create_and_login() # Try creating resource with a valid token. response = self.client.delete( PRODUCER_URL + '%s/' % self.alert_def.uuid, HTTP_AUTHORIZATION=AUTHORIZATION_PAYLOAD % token) self.assertEqual(response.status_code, status.HTTP_405_METHOD_NOT_ALLOWED) def test_put_not_allowed(self): """PUT operation tests""" # Create a user and get the authorization token. Then do the test. token = create_and_login() # Try creating resource with a valid token. response = self.client.put( PRODUCER_URL + '%s/' % self.alert_def.uuid, json.dumps(self.basic_post_body), content_type="application/json", HTTP_AUTHORIZATION=AUTHORIZATION_PAYLOAD % token) self.assertEqual(response.status_code, status.HTTP_405_METHOD_NOT_ALLOWED) def test_patch_not_allowed(self): """PATCH operation tests""" # Create a user and get the authorization token. Then do the test. token = create_and_login() # Try creating resource with a valid token. response = self.client.put( PRODUCER_URL + '%s/' % self.alert_def.uuid, json.dumps(self.basic_post_body), content_type="application/json", HTTP_AUTHORIZATION=AUTHORIZATION_PAYLOAD % token) self.assertEqual(response.status_code, status.HTTP_405_METHOD_NOT_ALLOWED) class EmailProducerViewTests(APITestCase): """ Test Email Producer API """ fixtures = ['core_initial_data.yaml'] def setUp(self): self.saved_search = SavedSearch.objects.all()[0] self.alert_def = AlertDefinition(name='alert_def', search=self.saved_search) self.alert_def.save() self.alert = Alert(short_message='test', long_message='test123', alert_def=self.alert_def) self.alert.save() self.producer = EmailProducer(sender='me', receiver='you', alert_def=self.alert_def) self.producer.save() self.basic_post_body = { "sender": "bell@localhost", "receiver": "watson@localhost", "alert_def": self.alert_def.uuid } def test_not_logged_in(self): """All operations should fail when not logged in.""" # Try getting resource with no token. response = self.client.get(EMAIL_PRODUCER_URL) self.assertContains(response, CONTENT_NO_CREDENTIALS, status_code=status.HTTP_401_UNAUTHORIZED) # Try getting resource a bogus token. response = self.client.get( EMAIL_PRODUCER_URL, HTTP_AUTHORIZATION=AUTHORIZATION_PAYLOAD % BAD_TOKEN) self.assertContains(response, CONTENT_BAD_TOKEN, status_code=status.HTTP_401_UNAUTHORIZED) # Try creating resource with no token. response = self.client.post(EMAIL_PRODUCER_URL, json.dumps(self.basic_post_body), content_type="application/json") self.assertContains(response, CONTENT_NO_CREDENTIALS, status_code=status.HTTP_401_UNAUTHORIZED) # Try creating resource with a bogus token. response = self.client.post( EMAIL_PRODUCER_URL, json.dumps(self.basic_post_body), content_type="application/json", HTTP_AUTHORIZATION=AUTHORIZATION_PAYLOAD % BAD_TOKEN) self.assertContains(response, CONTENT_BAD_TOKEN, status_code=status.HTTP_401_UNAUTHORIZED) # Try updating resource with no token. response = self.client.put( EMAIL_PRODUCER_URL + self.alert_def.uuid + '/', json.dumps(self.basic_post_body), content_type="application/json") self.assertContains(response, CONTENT_NO_CREDENTIALS, status_code=status.HTTP_401_UNAUTHORIZED) # Try updating resource with a bogus token. response = self.client.put( EMAIL_PRODUCER_URL + self.alert_def.uuid + '/', json.dumps(self.basic_post_body), content_type="application/json", HTTP_AUTHORIZATION=AUTHORIZATION_PAYLOAD % BAD_TOKEN) self.assertContains(response, CONTENT_BAD_TOKEN, status_code=status.HTTP_401_UNAUTHORIZED) def test_crud(self): """POST operation tests""" # Create a user and get the authorization token. Then do the test. token = create_and_login() # Try creating resource with a valid token. response = self.client.post( EMAIL_PRODUCER_URL, json.dumps(self.basic_post_body), content_type="application/json", HTTP_AUTHORIZATION=AUTHORIZATION_PAYLOAD % token) self.assertEqual(response.status_code, status.HTTP_201_CREATED) # Quick test of a filtered GET of the new resource response = self.client.get( EMAIL_PRODUCER_URL + "?sender=bell@localhost", HTTP_AUTHORIZATION=AUTHORIZATION_PAYLOAD % token) self.assertEqual(response.status_code, status.HTTP_200_OK) content = json.loads(response.content) self.assertIn('count', content) self.assertIn('next', content) self.assertIn('previous', content) self.assertIn('results', content) self.assertIsInstance(content['results'], list) self.assertGreater(len(content['results']), 0) self.bell_uuid = content['results'][0]['uuid'] # test the structure of the record we posted response = self.client.get( EMAIL_PRODUCER_URL + "%s/" % self.bell_uuid, accept="application/json", HTTP_AUTHORIZATION=AUTHORIZATION_PAYLOAD % token) self.assertEqual(response.status_code, status.HTTP_200_OK) content = json.loads(response.content) self.assertIn('uuid', content) self.assertIn('alert_def', content) self.assertIn('created', content) self.assertIn('updated', content) self.assertIn('sender', content) self.assertIn('receiver', content) self.assertEqual(content['sender'], 'bell@localhost') self.assertEqual(content['receiver'], 'watson@localhost') self.bell_content = content put_body = self.bell_content put_body['receiver'] = 'howell@localhost' # Try updating resource with a valid token. response = self.client.put( EMAIL_PRODUCER_URL + '%s/' % self.bell_uuid, json.dumps(put_body), content_type="application/json", HTTP_AUTHORIZATION=AUTHORIZATION_PAYLOAD % token) self.assertEqual(response.status_code, status.HTTP_200_OK) # Try patching resource with a valid token. response = self.client.patch( EMAIL_PRODUCER_URL + '%s/' % self.bell_uuid, json.dumps({'receiver': 'watson@localhost'}), content_type="application/json", HTTP_AUTHORIZATION=AUTHORIZATION_PAYLOAD % token) self.assertEqual(response.status_code, status.HTTP_200_OK) # Try deleting resource with a valid token. response = self.client.delete( EMAIL_PRODUCER_URL + '%s/' % self.bell_uuid, HTTP_AUTHORIZATION=AUTHORIZATION_PAYLOAD % token) self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)

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0.834815

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7

538c5571a48c83520f89568da4d7cc31f9b7ca38

36,680

py

Python

dashboard/main.py

mkingopng/Jamaica

39a2c259098d7ef10322a5c40d85e836fbdd05ee

[ "MIT" ]

null

dashboard/main.py

mkingopng/Jamaica

39a2c259098d7ef10322a5c40d85e836fbdd05ee

[ "MIT" ]

null

dashboard/main.py

mkingopng/Jamaica

39a2c259098d7ef10322a5c40d85e836fbdd05ee

[ "MIT" ]

null

""" written by: noOne date: last updated: 29th august 2021 """ import dash import dash_core_components as dcc import dash_html_components as html from dash.dependencies import Input, Output import plotly.graph_objs as go import pandas as pd # fix_me: something has changed. not running correctly anymore. dtypes = {'INVOICE_NUMBER': str, 'QTY_INVOICED': float, 'UNIT_NET_PRICE': float, 'SALES_ORDER_LINE_NUMBER': int, 'SALES_VALUE': float, 'INVOICE_DATE': str, 'FULLY_SHIPPED?': bool, 'WEEK_ID': int, 'YEAR_ID': int, 'ALT_ALT_PRODUCT_GROUP': str, 'STOCK_CODE': str, 'PRODUCT_DESCRIPTION': str, 'SALES_PERSON': str, 'CC': int, 'TEAM': str, 'CUSTOMER_CODE': str, 'CUSTOMER_NAME': str, 'CUSTOMER_PHONE': str, 'CUSTOMER_ADDRESS_1': str, 'CUSTOMER_ADDRESS_2': str, 'CITY': str, 'PROVINCE': str} parse_dates = ['STOCK_CODE'] sales_1 = pd.read_csv("/home/michaelkingston/Documents/GitHub/Jamaica/data/test_query.csv", encoding='utf-8', sep=',', dtype=dtypes, parse_dates=parse_dates, error_bad_lines=False, index_col=False) app = dash.Dash(__name__, ) app.layout = html.Div([ html.Div([ html.Br(), html.Br(), html.H1('KK Kingston Sales Dashboard')], style={'margin-left': '5%', 'color': '#808000', 'width': '50%', 'display': 'inline-block' }), html.Div([ html.Br(), html.Br(), html.H4('Created by: noOne')], style={'color': '#17202A', 'width': '30%', 'display': 'inline-block', 'float': 'right' }), # this is the key filter html.Div([ html.Label('Select a Team:'), dcc.Dropdown(id='w_teams', multi=False, clearable=True, value='', placeholder='Select a Team', options=[{'label': c, 'value': c} for c in (sales_1['TEAM'].unique())]) ], style={'width': '20%', 'margin-left': '45%'}), # TODO: charts L1, R1, L2 are quite similar. They all related to sales qty, sales value, # and by extension price per UOM and cost per UOM. I think this could be reduced to 1 chart and be more # informative. Y1 is always some variant of qty. Y2 is always some variant of sales value. # X is more constant. It is always alt product group (APG) I like R1 the best. # Chart L1: Create combination of bar chart and line chart (Compare quantity ordered to each Price of product) html.Div([ html.Br(), dcc.Graph(id='bar_line_1', config={'displayModeBar': False}), ], style={'margin-left': '1.4%', 'width': '50%', 'display': 'inline-block'}), # Chart R1: Create combination of bar chart and line chart (Compare sales to each Price of product) html.Div([ html.Br(), dcc.Graph(id='bar_line_2', config={'displayModeBar': False}), ], style={'width': '48.6%', 'display': 'inline-block', 'float': 'right'}), # Chart L2: Create group bar chart (Compare sales and quantity ordered for each product) html.Div([ html.Br(), dcc.Graph(id='bar_bar_3', config={'displayModeBar': False}), ], style={'margin-left': '1.4%', 'width': '50%', 'display': 'inline-block'}), # Chart R2: Create combination of bar chart and line chart (Compare each year sales and q. ordered for each product) html.Div([ html.Br(), dcc.Graph(id='bar_line_4', config={'displayModeBar': False}), ], style={'width': '48.6%', 'display': 'inline-block', 'float': 'right'}), # Chart L3: Create line chart (each month sales) html.Div([ html.Br(), dcc.Graph(id='line_line_5', config={'displayModeBar': False}), ], style={'margin-left': '1.4%', 'width': '50%', 'display': 'inline-block', 'margin-bottom': '3%'}), # Chart R3: Create scatter chart (Compare sales and q. ordered) html.Div([ html.Br(), dcc.Graph(id='scatter_6', config={'displayModeBar': False}), ], style={'width': '48.6%', 'display': 'inline-block', 'float': 'right', 'margin-bottom': '3%'}), ], style={'background-color': '#e6e6e6'}) # Chart L1: Create combination of bar chart and line chart (Compare quantity ordered to each Price of product) @app.callback(Output('bar_line_1', 'figure'), [Input('w_teams', 'value')]) def update_graph(w_teams): product_sales1 = sales_1.groupby(['ALT_PRODUCT_GROUP', 'TEAM'])['QTY_INVOICED'].sum().reset_index() product_sales2 = sales_1.groupby(['ALT_PRODUCT_GROUP', 'TEAM'])['UNIT_NET_PRICE'].mean().reset_index() return { 'dec_20': [go.Bar(x=product_sales1[product_sales1['TEAM'] == w_teams]['ALT_PRODUCT_GROUP'], y=product_sales1[product_sales1['TEAM'] == w_teams]['QTY_INVOICED'], text=product_sales1[product_sales1['TEAM'] == w_teams]['QTY_INVOICED'], name='∑ Qty Sold', texttemplate='%{text:.2s}', textposition='auto', marker=dict( color=product_sales1[product_sales1['TEAM'] == w_teams]['QTY_INVOICED'], colorscale='phase', showscale=False), yaxis='y1', hoverinfo='text', hovertext='<b>Team</b>: ' + product_sales1[product_sales1['TEAM'] == w_teams][ 'TEAM'].astype(str) + '<br>' + '<b>∑ Qty Sold</b>: ' + [f'{x:,.0f}' for x in product_sales1[product_sales1['TEAM'] == w_teams][ 'QTY_INVOICED']] + '<br>' + '<b>APG</b>: ' + product_sales1[product_sales1['TEAM'] == w_teams][ 'ALT_PRODUCT_GROUP'].astype(str) + '<br> ' ), go.Scatter( x=product_sales2[product_sales2['TEAM'] == w_teams]['ALT_PRODUCT_GROUP'], y=product_sales2[product_sales2['TEAM'] == w_teams]['UNIT_NET_PRICE'], name='μ Price', text=product_sales2[product_sales2['TEAM'] == w_teams]['UNIT_NET_PRICE'], mode='markers + lines', marker=dict(color='#bd3786'), yaxis='y2', hoverinfo='text', hovertext='<b>Team</b>: ' + product_sales2[product_sales2['TEAM'] == w_teams][ 'TEAM'].astype(str) + '<br>' + '<b>Price</b>: $' + [f'{x:,.0f}' for x in product_sales2[product_sales2['TEAM'] == w_teams][ 'UNIT_NET_PRICE']] + '<br>' + '<b>APG</b>: ' + product_sales2[product_sales2['TEAM'] == w_teams][ 'ALT_PRODUCT_GROUP'].astype(str) + '<br>' )], 'layout': go.Layout( width=780, height=520, title={ 'text': '∑ Qty Sold & Price: ' + w_teams, 'y': 0.93, 'x': 0.43, 'xanchor': 'center', 'yanchor': 'top'}, titlefont={'family': 'Oswald', 'color': 'rgb(230, 34, 144)', 'size': 25}, hovermode='x', xaxis=dict(title='<b>APG</b>', color='rgb(230, 34, 144)', showline=True, showgrid=True, showticklabels=True, linecolor='rgb(104, 204, 104)', linewidth=2, ticks='outside', tickfont=dict( family='Arial', size=12, color='rgb(17, 37, 239)' ) ), yaxis=dict(title='<b>∑ Qty Sold</b>', color='rgb(230, 34, 144)', showline=True, showgrid=True, showticklabels=True, linecolor='rgb(104, 204, 104)', linewidth=2, ticks='outside', tickfont=dict( family='Arial', size=12, color='rgb(17, 37, 239)' ) ), yaxis2=dict(title='<b>Price (K)</b>', overlaying='y', side='right', color='rgb(230, 34, 144)', showline=True, showgrid=False, showticklabels=True, linecolor='rgb(104, 204, 104)', linewidth=2, ticks='outside', tickfont=dict( family='Arial', size=12, color='rgb(17, 37, 239)' ) ), legend=dict(title='', x=0.25, y=1.08, orientation='h', bgcolor='rgba(255, 255, 255, 0)', traceorder="normal", font=dict( family="sans-serif", size=12, color='#000000' ) ), legend_title_font_color="green", uniformtext_minsize=12, uniformtext_mode='hide', ) } # TODO: this is my preferred hart for sales revenue and sales qty # Chart R1: Create combination of bar chart and line chart (Compare sales to each Price of product) @app.callback(Output('bar_line_2', 'figure'), [Input('w_teams', 'value')]) def update_graph(w_teams): product_sales3 = sales_1.groupby(['ALT_PRODUCT_GROUP', 'TEAM'])['SALES_VALUE'].sum().reset_index() product_sales4 = sales_1.groupby(['ALT_PRODUCT_GROUP', 'TEAM'])['UNIT_NET_PRICE'].mean().reset_index() return { 'dec_20': [go.Bar(x=product_sales3[product_sales3['TEAM'] == w_teams]['ALT_PRODUCT_GROUP'], y=product_sales3[product_sales3['TEAM'] == w_teams]['SALES_VALUE'], text=product_sales3[product_sales3['TEAM'] == w_teams]['SALES_VALUE'], name='∑ Sales', texttemplate='%{text:.2s}', textposition='auto', marker=dict( color=product_sales3[product_sales3['TEAM'] == w_teams] ['SALES_VALUE'], colorscale='portland', showscale=False), yaxis='y1', hoverinfo='text', hovertext='<b>Team</b>: ' + product_sales3[product_sales3['TEAM'] == w_teams][ 'TEAM'].astype(str) + '<br>' + '<b>Sales</b>: $' + [f'{x:,.0f}' for x in product_sales3[product_sales3['TEAM'] == w_teams][ 'SALES_VALUE']] + '<br>' + '<b>APG</b>: ' + product_sales3[product_sales3['TEAM'] == w_teams][ 'ALT_PRODUCT_GROUP'].astype(str) + '<br>' ), go.Scatter( x=product_sales4[product_sales4['TEAM'] == w_teams]['ALT_PRODUCT_GROUP'], y=product_sales4[product_sales4['TEAM'] == w_teams]['UNIT_NET_PRICE'], name='μ Price (K)', text=product_sales4[product_sales4['TEAM'] == w_teams]['UNIT_NET_PRICE'], mode='markers + lines', marker=dict(color='#bd3786'), yaxis='y2', hoverinfo='text', hovertext='<b>Team</b>: ' + product_sales4[product_sales4['TEAM'] == w_teams][ 'TEAM'].astype(str) + '<br>' + '<b>APG</b>: ' + product_sales4[product_sales4['TEAM'] == w_teams][ 'ALT_PRODUCT_GROUP'].astype(str) + '<br>' + '<b>Price</b>: $' + [f'{x:,.0f}' for x in product_sales4[product_sales4['TEAM'] == w_teams][ 'UNIT_NET_PRICE']] + '<br>' )], 'layout': go.Layout( width=780, height=520, title={ 'text': '∑ Sales & μ Price p/uom: ' + w_teams, 'y': 0.93, 'x': 0.43, 'xanchor': 'center', 'yanchor': 'top'}, titlefont={'family': 'Oswald', 'color': 'rgb(230, 34, 144)', 'size': 25}, hovermode='x', xaxis=dict(title='<b>APG</b>', color='rgb(230, 34, 144)', showline=True, showgrid=True, showticklabels=True, linecolor='rgb(104, 204, 104)', linewidth=2, ticks='outside', tickfont=dict( family='Arial', size=12, color='rgb(17, 37, 239)' ) ), yaxis=dict(title='<b>∑ Sales</b>', color='rgb(230, 34, 144)', showline=True, showgrid=True, showticklabels=True, linecolor='rgb(104, 204, 104)', linewidth=2, ticks='outside', tickfont=dict( family='Arial', size=12, color='rgb(17, 37, 239)' ) ), yaxis2=dict(title='<b>μ Price of Ea. uom (K)</b>', overlaying='y', side='right', color='rgb(230, 34, 144)', showline=True, showgrid=False, showticklabels=True, linecolor='rgb(104, 204, 104)', linewidth=2, ticks='outside', tickfont=dict( family='Arial', size=12, color='rgb(17, 37, 239)' ) ), legend=dict(title='', x=0.25, y=1.08, orientation='h', bgcolor='rgba(255, 255, 255, 0)', traceorder="normal", font=dict( family="sans-serif", size=12, color='#000000')), legend_title_font_color="green", uniformtext_minsize=12, uniformtext_mode='hide', ) } # Chart L2: Create group bar chart (Compare sales and quantity ordered for each product) @app.callback(Output('bar_bar_3', 'figure'), [Input('w_teams', 'value')]) def update_graph(w_teams): product_sales5 = sales_1.groupby(['ALT_PRODUCT_GROUP', 'TEAM'])['SALES_VALUE'].sum().reset_index() product_sales6 = sales_1.groupby(['ALT_PRODUCT_GROUP', 'TEAM'])['QTY_INVOICED'].sum().reset_index() return { 'dec_20': [go.Bar(x=product_sales5[product_sales5['TEAM'] == w_teams]['ALT_PRODUCT_GROUP'], y=product_sales5[product_sales5['TEAM'] == w_teams]['SALES_VALUE'], text=product_sales5[product_sales5['TEAM'] == w_teams]['SALES_VALUE'], name='∑ Sales', texttemplate='%{text:.2s}', textposition='auto', marker=dict(color='rgb(214, 137, 16)'), yaxis='y1', offsetgroup=1, hoverinfo='text', hovertext='<b>Team</b>: ' + product_sales5[product_sales5['TEAM'] == w_teams][ 'TEAM'].astype(str) + '<br>' + '<b>APG</b>: ' + product_sales5[product_sales5['TEAM'] == w_teams][ 'ALT_PRODUCT_GROUP'].astype(str) + '<br>' + '<b>∑ Sales</b>: $' + [f'{x:,.0f}' for x in product_sales5[product_sales5['TEAM'] == w_teams][ 'SALES_VALUE']] + '<br>' ), go.Bar( x=product_sales6[product_sales6['TEAM'] == w_teams]['ALT_PRODUCT_GROUP'], y=product_sales6[product_sales6['TEAM'] == w_teams]['QTY_INVOICED'], name='∑ Qty. Ordered', text=product_sales6[product_sales6['TEAM'] == w_teams]['QTY_INVOICED'], texttemplate='%{text:.2s}', textposition='auto', marker=dict(color='rgb(112, 123, 124)'), yaxis='y2', offsetgroup=2, hoverinfo='text', hovertext='<b>Team</b>: ' + product_sales6[product_sales6['TEAM'] == w_teams][ 'TEAM'].astype(str) + '<br>' + '<b>APG</b>: ' + product_sales6[product_sales6['TEAM'] == w_teams][ 'ALT_PRODUCT_GROUP'].astype(str) + '<br>' + '<b>∑ Qty Ordered</b>: ' + [f'{x:,.0f}' for x in product_sales6[product_sales6['TEAM'] == w_teams][ 'QTY_INVOICED']] + '<br>' )], 'layout': go.Layout( width=780, height=520, title={ 'text': '∑ sales & ∑ Qty Sold by APG: ' + w_teams, 'y': 0.93, 'x': 0.43, 'xanchor': 'center', 'yanchor': 'top'}, titlefont={'family': 'Oswald', 'color': 'rgb(230, 34, 144)', 'size': 25}, hovermode='x', xaxis=dict(title='<b>Name of APG</b>', color='rgb(230, 34, 144)', showline=True, showgrid=True, showticklabels=True, linecolor='rgb(104, 204, 104)', linewidth=2, ticks='outside', tickfont=dict( family='Arial', size=12, color='rgb(17, 37, 239)' ) ), yaxis=dict(title='<b>∑ Sales</b>', color='rgb(230, 34, 144)', showline=True, showgrid=True, showticklabels=True, linecolor='rgb(104, 204, 104)', linewidth=2, ticks='outside', tickfont=dict( family='Arial', size=12, color='rgb(17, 37, 239)' ) ), yaxis2=dict(title='<b>∑ Qty Sold</b>', overlaying='y', side='right', color='rgb(230, 34, 144)', showline=True, showgrid=False, showticklabels=True, linecolor='rgb(104, 204, 104)', linewidth=2, ticks='outside', tickfont=dict( family='Arial', size=12, color='rgb(17, 37, 239)' ) ), legend=dict(title='', x=0.25, y=1.08, orientation='h', bgcolor='rgba(255, 255, 255, 0)', traceorder="normal", font=dict( family="sans-serif", size=12, color='#000000')), legend_title_font_color="green", uniformtext_minsize=12, uniformtext_mode='hide', ) } # Chart R2: Create combination of bar chart and line chart (Compare each year sales and q. ordered for each product) @app.callback(Output('bar_line_4', 'figure'), [Input('w_teams', 'value')]) def update_graph(w_teams): product_sales7 = sales_1.groupby(['TEAM', 'YEAR_ID'])['SALES_VALUE'].sum().reset_index() product_sales8 = sales_1.groupby(['TEAM', 'YEAR_ID'])['QTY_INVOICED'].sum().reset_index() return { 'dec_20': [go.Bar(x=product_sales7[product_sales7['TEAM'] == w_teams]['YEAR_ID'], y=product_sales7[product_sales7['TEAM'] == w_teams]['SALES_VALUE'], text=product_sales7[product_sales7['TEAM'] == w_teams]['SALES_VALUE'], name='∑ Sales', texttemplate='%{text:.2s}', textposition='auto', marker=dict(color='rgb(11, 220, 239)'), yaxis='y1', hoverinfo='text', hovertext='<b>Team</b>: ' + product_sales7[product_sales7['TEAM'] == w_teams][ 'TEAM'].astype(str) + '<br>' + '<b>∑ sales</b>: $' + [f'{x:,.0f}' for x in product_sales7[product_sales7['TEAM'] == w_teams][ 'SALES_VALUE']] + '<br>' + '<b>Year</b>: ' + product_sales7[product_sales7['TEAM'] == w_teams][ 'YEAR_ID'].astype( str) + '<br>' ), go.Scatter( x=product_sales8[product_sales8['TEAM'] == w_teams]['YEAR_ID'], y=product_sales8[product_sales8['TEAM'] == w_teams]['QTY_INVOICED'], name='∑ Qty Ordered', text=product_sales8[product_sales8['TEAM'] == w_teams]['QTY_INVOICED'], mode='markers + lines', marker=dict(color='#bd3786'), yaxis='y2', hoverinfo='text', hovertext='<b>Team</b>: ' + product_sales8[product_sales8['TEAM'] == w_teams][ 'TEAM'].astype(str) + '<br>' + '<b>∑ Qty Sold</b>: ' + [f'{x:,.0f}' for x in product_sales8[product_sales8['TEAM'] == w_teams][ 'QTY_INVOICED']] + '<br>' + '<b>Year</b>: ' + product_sales8[product_sales8['TEAM'] == w_teams]['YEAR_ID'].astype( str) + '<br>' )], 'layout': go.Layout( width=780, height=520, title={ 'text': '∑ Sales & ∑ Qty Sold by APG: ' + w_teams, 'y': 0.93, 'x': 0.43, 'xanchor': 'center', 'yanchor': 'top'}, titlefont={'family': 'Oswald', 'color': 'rgb(230, 34, 144)', 'size': 25}, hovermode='x', xaxis=dict(title='<b>APG</b>', tick0=0, dtick=1, color='rgb(230, 34, 144)', showline=True, showgrid=True, showticklabels=True, linecolor='rgb(104, 204, 104)', linewidth=2, ticks='outside', tickfont=dict( family='Arial', size=12, color='rgb(17, 37, 239)' ) ), yaxis=dict(title='<b>∑ sales</b>', color='rgb(230, 34, 144)', showline=True, showgrid=True, showticklabels=True, linecolor='rgb(104, 204, 104)', linewidth=2, ticks='outside', tickfont=dict( family='Arial', size=12, color='rgb(17, 37, 239)' ) ), yaxis2=dict(title='<b>∑ Qty Sold</b>', overlaying='y', side='right', color='rgb(230, 34, 144)', showline=True, showgrid=False, showticklabels=True, linecolor='rgb(104, 204, 104)', linewidth=2, ticks='outside', tickfont=dict( family='Arial', size=12, color='rgb(17, 37, 239)' ) ), legend=dict(title='', x=0.25, y=1.08, orientation='h', bgcolor='rgba(255, 255, 255, 0)', traceorder="normal", font=dict(family="sans-serif", size=12, color='#000000')), legend_title_font_color="green", uniformtext_minsize=12, uniformtext_mode='hide', ) } # TODO: i like this one. How can i make it more readable. why do some people disagree with the week number? # Chart L3: Create line chart (year oon year weekly sales) @app.callback(Output('line_line_5', 'figure'), [Input('w_teams', 'value')]) def update_graph(w_teams): monthly_sales = sales_1.groupby(['TEAM', 'YEAR_ID', 'WEEK_ID'])['SALES_VALUE'].sum().reset_index() return { 'dec_20': [go.Scatter( x=monthly_sales[(monthly_sales['YEAR_ID'] == 2020) & (monthly_sales['TEAM'] == w_teams)]['WEEK_ID'], y=monthly_sales[(monthly_sales['YEAR_ID'] == 2020) & (monthly_sales['TEAM'] == w_teams)]['SALES_VALUE'], text=monthly_sales[(monthly_sales['YEAR_ID'] == 2020) & (monthly_sales['TEAM'] == w_teams)][ 'SALES_VALUE'], name='2020', mode='markers+lines', hoverinfo='text', hovertext='<b>Team</b>: ' + monthly_sales[(monthly_sales['YEAR_ID'] == 2020) & (monthly_sales[ 'TEAM'] == w_teams)][ 'TEAM'].astype(str) + '<br>' + '<b>Year</b>: ' + monthly_sales[(monthly_sales['YEAR_ID'] == 2020) & (monthly_sales[ 'TEAM'] == w_teams)][ 'YEAR_ID'].astype(str) + '<br>' + '<b>Week</b>: ' + monthly_sales[(monthly_sales['YEAR_ID'] == 2020) & (monthly_sales[ 'TEAM'] == w_teams)][ 'WEEK_ID'].astype(str) + '<br>' + '<b>Sales</b>: $' + [f'{x:,.0f}' for x in monthly_sales[ (monthly_sales['YEAR_ID'] == 2020) & (monthly_sales['TEAM'] == w_teams)]['SALES_VALUE']] + '<br>' ), go.Scatter( x=monthly_sales[(monthly_sales['YEAR_ID'] == 2021) & (monthly_sales['TEAM'] == w_teams)][ 'WEEK_ID'], y=monthly_sales[(monthly_sales['YEAR_ID'] == 2021) & (monthly_sales['TEAM'] == w_teams)][ 'SALES_VALUE'], text=monthly_sales[(monthly_sales['YEAR_ID'] == 2021) & (monthly_sales['TEAM'] == w_teams)][ 'SALES_VALUE'], name='2021', mode='markers+lines', hoverinfo='text', hovertext='<b>Team</b>: ' + monthly_sales[(monthly_sales['YEAR_ID'] == 2021) & (monthly_sales[ 'TEAM'] == w_teams)][ 'TEAM'].astype(str) + '<br>' + '<b>Year</b>: ' + monthly_sales[(monthly_sales['YEAR_ID'] == 2021) & (monthly_sales[ 'TEAM'] == w_teams)][ 'YEAR_ID'].astype(str) + '<br>' + '<b>Week</b>: ' + monthly_sales[(monthly_sales['YEAR_ID'] == 2021) & (monthly_sales[ 'TEAM'] == w_teams)][ 'WEEK_ID'].astype(str) + '<br>' + '<b>Sales</b>: $' + [f'{x:,.0f}' for x in monthly_sales[ (monthly_sales['YEAR_ID'] == 2021) & (monthly_sales['TEAM'] == w_teams)][ 'SALES_VALUE']] + '<br>' )], 'layout': go.Layout( width=780, height=520, title={ 'text': 'Weekly Sales: ' + w_teams, 'y': 0.93, 'x': 0.43, 'xanchor': 'center', 'yanchor': 'top'}, titlefont={'family': 'Oswald', 'color': 'rgb(230, 34, 144)', 'size': 25}, hovermode='x', xaxis=dict(title='<b>Week</b>', tick0=0, dtick=1, color='rgb(230, 34, 144)', showline=True, showgrid=True, showticklabels=True, linecolor='rgb(104, 204, 104)', linewidth=2, ticks='outside', tickfont=dict( family='Arial', size=12, color='rgb(17, 37, 239)' ) ), yaxis=dict(title='<b>∑ sales</b>', color='rgb(230, 34, 144)', showline=True, showgrid=True, showticklabels=True, linecolor='rgb(104, 204, 104)', linewidth=2, ticks='outside', tickfont=dict( family='Arial', size=12, color='rgb(17, 37, 239)' ) ), legend=dict(title='', x=0.25, y=1.08, orientation='h', bgcolor='rgba(255, 255, 255, 0)', traceorder="normal", font=dict( family="sans-serif", size=12, color='#000000')), legend_title_font_color="green", uniformtext_minsize=12, uniformtext_mode='hide', ) } # TODO: Chart R3: Create bubble chart (Compare sales and q. ordered). This one doesn't really work. reconsider and # re-plot. If you were the sales manager, what information would you need to see to make the decisions you need to # achieve the results yuo need. @app.callback(Output('scatter_6', 'figure'), [Input('w_teams', 'value')]) def update_graph(w_teams): scatter = sales_1.groupby(['TEAM', 'ALT_PRODUCT_GROUP'])[['QTY_INVOICED', 'SALES_VALUE']].sum().reset_index() return { 'dec_20': [go.Scatter(x=scatter[scatter['TEAM'] == w_teams]['QTY_INVOICED'], y=scatter[scatter['TEAM'] == w_teams]['SALES_VALUE'], text=scatter[scatter['TEAM'] == w_teams]['SALES_VALUE'], mode='markers', hoverinfo='text', hovertext='<b>Team</b>: ' + scatter[scatter['TEAM'] == w_teams]['TEAM'].astype( str) + '<br>' + '<b>APG</b>: ' + scatter[scatter['TEAM'] == w_teams][ 'ALT_PRODUCT_GROUP'].astype( str) + '<br>' + '<b>∑ Qty Sold</b>: ' + [f'{x:,.0f}' for x in scatter[scatter['TEAM'] == w_teams][ 'QTY_INVOICED']] + '<br>' + '<b>Sales</b>: $' + [f'{x:,.0f}' for x in scatter[scatter['TEAM'] == w_teams][ 'SALES_VALUE']] + '<br>', marker=dict( size=20, color=scatter[scatter['TEAM'] == w_teams]['QTY_INVOICED'], colorscale='mrybm', showscale=False ) )], 'layout': go.Layout( width=780, height=520, title={ 'text': '∑ Sales vs. Sold Qty:' + w_teams, 'y': 0.93, 'x': 0.43, 'xanchor': 'center', 'yanchor': 'top'}, titlefont={'family': 'Oswald', 'color': 'rgb(230, 34, 144)', 'size': 25}, hovermode='x', xaxis=dict( title='<b>∑ Qty Sold</b>', color='rgb(230, 34, 144)', showline=True, showgrid=True, showticklabels=True, linecolor='rgb(104, 204, 104)', linewidth=2, ticks='outside', tickfont=dict( family='Arial', size=12, color='rgb(17, 37, 239)' ) ), yaxis=dict(title='<b>Sales</b>', color='rgb(230, 34, 144)', showline=True, showgrid=True, showticklabels=True, linecolor='rgb(104, 204, 104)', linewidth=2, ticks='outside', tickfont=dict( family='Arial', size=12, color='rgb(17, 37, 239)' ) ), ) } if __name__ == '__main__': app.run_server(host='0.0.0.0', port=8050)

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null

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0

1

0

null

0

7

539c30b0ad09fce4a4cadc97e1533485d930068b

1,328

py

Python

bugtests/test058.py

doom38/jython_v2.2.1

0803a0c953c294e6d14f9fc7d08edf6a3e630a15

[ "CNRI-Jython" ]

null

bugtests/test058.py

doom38/jython_v2.2.1

0803a0c953c294e6d14f9fc7d08edf6a3e630a15

[ "CNRI-Jython" ]

null

bugtests/test058.py

doom38/jython_v2.2.1

0803a0c953c294e6d14f9fc7d08edf6a3e630a15

[ "CNRI-Jython" ]

null

""" "%#.0f", "%e" and "%+f" w/ negative numbers don't print correctly. """ import support if "%#.0f" % 5 != "5.": raise support.TestWarning("Format Error #1 %#.0f" % 5) if "%.1f" % 5 != "5.0": raise support.TestError("Format Error #2 %.1f" % 5) if "%e" % -1e-6 != "-1.000000e-006": raise support.TestError("Format Error #3 %e" % -1e-6) if "%e" % 0 != "0.000000e+000": raise support.TestError("Format Error #4 %e" % 0) if "%e" % 1e-6 != "1.000000e-006": raise support.TestError("Format Error #5 %e" % 1e-6) if "%+f" % -5 != "-5.000000": raise support.TestError("Format Error #6 %+f" % -5) if "%+f" % 5 != "+5.000000": raise support.TestError("Format Error #7 %+f" % 5) import java java.util.Locale.setDefault(java.util.Locale("us", "")) if "%#.0f" % 5 != "5.": raise support.TestError("Format Error #8") if "%.1f" % 5 != "5.0": raise support.TestError("Format Error #9") if "%e" % -1e-6 != "-1.000000e-006": raise support.TestError("Format Error #10") if "%e" % 0 != "0.000000e+000": raise support.TestError("Format Error #11") if "%e" % 1e-6 != "1.000000e-006": raise support.TestError("Format Error #12") if "%+f" % -5 != "-5.000000": raise support.TestError("Format Error #13") if "%+f" % 5 != "+5.000000": raise support.TestError("Format Error #14")

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0

null

0

1

0

9

53f447d2db7cb1e57a497540564078da8a506ca0

848

py

Python

Desafios/des017.py

joseangelooliveira-br/Python3

c0ba39768706f84f26b0616b75dd8c7971145b0e

[ "MIT" ]

null

Desafios/des017.py

joseangelooliveira-br/Python3

c0ba39768706f84f26b0616b75dd8c7971145b0e

[ "MIT" ]

null

Desafios/des017.py

joseangelooliveira-br/Python3

c0ba39768706f84f26b0616b75dd8c7971145b0e

[ "MIT" ]

null

''' co = float(input('Digite o comprimento do cateto oposto:')) ca = float(input('Digite o comprimento do cateto adjacente:')) hip = (ca**2 + co**2)**(1/2) print('A hipotenusa ira medir {}.'.format(hip)) ''' ''' import math co = float(input('Digite o comprimento do cateto oposto:')) ca = float(input('Digite o comprimento do cateto adjacente:')) hip = math.hypot(ca,co) print('A hipotenusa ira medir {}.'.format(hip)) ''' ''' from math import hypot co = float(input('Digite o comprimento do cateto oposto:')) ca = float(input('Digite o comprimento do cateto adjacente:')) hip = hypot(ca,co) print('A hipotenusa ira medir {}.'.format(hip)) ''' from math import hypot co = float(input('Digite o comprimento do cateto oposto:')) ca = float(input('Digite o comprimento do cateto adjacente:')) print('A hipotenusa ira medir {}.'.format(hypot(ca, co)))

33.92

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0.1875

0.135823

0.217317

0.2309

0.947368

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0

0.005435

0.132075

848

24

63

35.333333

0.794837

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0

0.507246

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false

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0.25

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0.25

0

null

0

1

0

null

0

8

54ff34c4251c0441aad50496f70d8d23b0bb6dec

270

py

Python

ansys/dpf/core/operators/mapping/__init__.py

jfthuong/pydpf-core

bf2895ebc546e0004f759289bfc9a23196559ac3

[ "MIT" ]

18

2021-10-16T10:38:29.000Z

2022-03-29T11:26:42.000Z

ansys/dpf/core/operators/mapping/__init__.py

jfthuong/pydpf-core

bf2895ebc546e0004f759289bfc9a23196559ac3

[ "MIT" ]

79

2021-10-11T23:18:54.000Z

2022-03-29T14:53:14.000Z

ansys/dpf/core/operators/mapping/__init__.py

jfthuong/pydpf-core

bf2895ebc546e0004f759289bfc9a23196559ac3

[ "MIT" ]

5

2021-11-29T18:35:37.000Z

2022-03-16T16:49:21.000Z

from .find_reduced_coordinates import find_reduced_coordinates from .on_reduced_coordinates import on_reduced_coordinates from .on_coordinates import on_coordinates from .scoping_on_coordinates import scoping_on_coordinates from .solid_to_skin import solid_to_skin

45

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null

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1

0

1

0

1

0

7

07103c1f315aa88a7f93ce9e710d854888f5d2a9

46,338

py

Python

tccli/services/mongodb/mongodb_client.py

zqfan/tencentcloud-cli

b6ad9fced2a2b340087e4e5522121d405f68b615

[ "Apache-2.0" ]

null

tccli/services/mongodb/mongodb_client.py

zqfan/tencentcloud-cli

b6ad9fced2a2b340087e4e5522121d405f68b615

[ "Apache-2.0" ]

null

tccli/services/mongodb/mongodb_client.py

zqfan/tencentcloud-cli

b6ad9fced2a2b340087e4e5522121d405f68b615

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import os import json import tccli.options_define as OptionsDefine import tccli.format_output as FormatOutput from tccli import __version__ from tccli.utils import Utils from tccli.exceptions import ConfigurationError from tencentcloud.common import credential from tencentcloud.common.profile.http_profile import HttpProfile from tencentcloud.common.profile.client_profile import ClientProfile from tencentcloud.mongodb.v20190725 import mongodb_client as mongodb_client_v20190725 from tencentcloud.mongodb.v20190725 import models as models_v20190725 from tencentcloud.mongodb.v20180408 import mongodb_client as mongodb_client_v20180408 from tencentcloud.mongodb.v20180408 import models as models_v20180408 def doDescribeDBInstanceDeal(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.DescribeDBInstanceDealRequest() model.from_json_string(json.dumps(args)) rsp = client.DescribeDBInstanceDeal(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doDescribeCurrentOp(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.DescribeCurrentOpRequest() model.from_json_string(json.dumps(args)) rsp = client.DescribeCurrentOp(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doDescribeClientConnections(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.DescribeClientConnectionsRequest() model.from_json_string(json.dumps(args)) rsp = client.DescribeClientConnections(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doResetDBInstancePassword(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.ResetDBInstancePasswordRequest() model.from_json_string(json.dumps(args)) rsp = client.ResetDBInstancePassword(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doDescribeSecurityGroup(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.DescribeSecurityGroupRequest() model.from_json_string(json.dumps(args)) rsp = client.DescribeSecurityGroup(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doSetPassword(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.SetPasswordRequest() model.from_json_string(json.dumps(args)) rsp = client.SetPassword(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doFlushInstanceRouterConfig(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.FlushInstanceRouterConfigRequest() model.from_json_string(json.dumps(args)) rsp = client.FlushInstanceRouterConfig(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doSetAutoRenew(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.SetAutoRenewRequest() model.from_json_string(json.dumps(args)) rsp = client.SetAutoRenew(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doDescribeDBBackups(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.DescribeDBBackupsRequest() model.from_json_string(json.dumps(args)) rsp = client.DescribeDBBackups(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doIsolateDBInstance(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.IsolateDBInstanceRequest() model.from_json_string(json.dumps(args)) rsp = client.IsolateDBInstance(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doDescribeBackupAccess(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.DescribeBackupAccessRequest() model.from_json_string(json.dumps(args)) rsp = client.DescribeBackupAccess(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doInquirePriceModifyDBInstanceSpec(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.InquirePriceModifyDBInstanceSpecRequest() model.from_json_string(json.dumps(args)) rsp = client.InquirePriceModifyDBInstanceSpec(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doDescribeAsyncRequestInfo(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.DescribeAsyncRequestInfoRequest() model.from_json_string(json.dumps(args)) rsp = client.DescribeAsyncRequestInfo(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doCreateDBInstanceHour(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.CreateDBInstanceHourRequest() model.from_json_string(json.dumps(args)) rsp = client.CreateDBInstanceHour(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doTerminateDBInstance(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.TerminateDBInstanceRequest() model.from_json_string(json.dumps(args)) rsp = client.TerminateDBInstance(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doRenewDBInstances(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.RenewDBInstancesRequest() model.from_json_string(json.dumps(args)) rsp = client.RenewDBInstances(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doCreateBackupDownloadTask(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.CreateBackupDownloadTaskRequest() model.from_json_string(json.dumps(args)) rsp = client.CreateBackupDownloadTask(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doUpgradeDBInstanceHour(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.UpgradeDBInstanceHourRequest() model.from_json_string(json.dumps(args)) rsp = client.UpgradeDBInstanceHour(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doDescribeDBInstances(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.DescribeDBInstancesRequest() model.from_json_string(json.dumps(args)) rsp = client.DescribeDBInstances(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doOfflineIsolatedDBInstance(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.OfflineIsolatedDBInstanceRequest() model.from_json_string(json.dumps(args)) rsp = client.OfflineIsolatedDBInstance(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doDescribeSlowLogPatterns(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.DescribeSlowLogPatternsRequest() model.from_json_string(json.dumps(args)) rsp = client.DescribeSlowLogPatterns(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doDescribeSlowLogs(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.DescribeSlowLogsRequest() model.from_json_string(json.dumps(args)) rsp = client.DescribeSlowLogs(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doCreateDBInstance(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.CreateDBInstanceRequest() model.from_json_string(json.dumps(args)) rsp = client.CreateDBInstance(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doModifyDBInstanceSpec(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.ModifyDBInstanceSpecRequest() model.from_json_string(json.dumps(args)) rsp = client.ModifyDBInstanceSpec(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doDescribeSpecInfo(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.DescribeSpecInfoRequest() model.from_json_string(json.dumps(args)) rsp = client.DescribeSpecInfo(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doDescribeBackupDownloadTask(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.DescribeBackupDownloadTaskRequest() model.from_json_string(json.dumps(args)) rsp = client.DescribeBackupDownloadTask(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doInquirePriceCreateDBInstances(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.InquirePriceCreateDBInstancesRequest() model.from_json_string(json.dumps(args)) rsp = client.InquirePriceCreateDBInstances(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doAssignProject(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.AssignProjectRequest() model.from_json_string(json.dumps(args)) rsp = client.AssignProject(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doDescribeSlowLog(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.DescribeSlowLogRequest() model.from_json_string(json.dumps(args)) rsp = client.DescribeSlowLog(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doRenameInstance(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.RenameInstanceRequest() model.from_json_string(json.dumps(args)) rsp = client.RenameInstance(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doUpgradeDBInstance(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.UpgradeDBInstanceRequest() model.from_json_string(json.dumps(args)) rsp = client.UpgradeDBInstance(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doKillOps(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.KillOpsRequest() model.from_json_string(json.dumps(args)) rsp = client.KillOps(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doCreateBackupDBInstance(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.CreateBackupDBInstanceRequest() model.from_json_string(json.dumps(args)) rsp = client.CreateBackupDBInstance(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) def doInquirePriceRenewDBInstances(args, parsed_globals): g_param = parse_global_arg(parsed_globals) cred = credential.Credential( g_param[OptionsDefine.SecretId], g_param[OptionsDefine.SecretKey], g_param[OptionsDefine.Token] ) http_profile = HttpProfile( reqTimeout=60 if g_param[OptionsDefine.Timeout] is None else int(g_param[OptionsDefine.Timeout]), reqMethod="POST", endpoint=g_param[OptionsDefine.Endpoint] ) profile = ClientProfile(httpProfile=http_profile, signMethod="HmacSHA256") mod = CLIENT_MAP[g_param[OptionsDefine.Version]] client = mod.MongodbClient(cred, g_param[OptionsDefine.Region], profile) client._sdkVersion += ("_CLI_" + __version__) models = MODELS_MAP[g_param[OptionsDefine.Version]] model = models.InquirePriceRenewDBInstancesRequest() model.from_json_string(json.dumps(args)) rsp = client.InquirePriceRenewDBInstances(model) result = rsp.to_json_string() try: json_obj = json.loads(result) except TypeError as e: json_obj = json.loads(result.decode('utf-8')) # python3.3 FormatOutput.output("action", json_obj, g_param[OptionsDefine.Output], g_param[OptionsDefine.Filter]) CLIENT_MAP = { "v20190725": mongodb_client_v20190725, "v20180408": mongodb_client_v20180408, } MODELS_MAP = { "v20190725": models_v20190725, "v20180408": models_v20180408, } ACTION_MAP = { "DescribeDBInstanceDeal": doDescribeDBInstanceDeal, "DescribeCurrentOp": doDescribeCurrentOp, "DescribeClientConnections": doDescribeClientConnections, "ResetDBInstancePassword": doResetDBInstancePassword, "DescribeSecurityGroup": doDescribeSecurityGroup, "SetPassword": doSetPassword, "FlushInstanceRouterConfig": doFlushInstanceRouterConfig, "SetAutoRenew": doSetAutoRenew, "DescribeDBBackups": doDescribeDBBackups, "IsolateDBInstance": doIsolateDBInstance, "DescribeBackupAccess": doDescribeBackupAccess, "InquirePriceModifyDBInstanceSpec": doInquirePriceModifyDBInstanceSpec, "DescribeAsyncRequestInfo": doDescribeAsyncRequestInfo, "CreateDBInstanceHour": doCreateDBInstanceHour, "TerminateDBInstance": doTerminateDBInstance, "RenewDBInstances": doRenewDBInstances, "CreateBackupDownloadTask": doCreateBackupDownloadTask, "UpgradeDBInstanceHour": doUpgradeDBInstanceHour, "DescribeDBInstances": doDescribeDBInstances, "OfflineIsolatedDBInstance": doOfflineIsolatedDBInstance, "DescribeSlowLogPatterns": doDescribeSlowLogPatterns, "DescribeSlowLogs": doDescribeSlowLogs, "CreateDBInstance": doCreateDBInstance, "ModifyDBInstanceSpec": doModifyDBInstanceSpec, "DescribeSpecInfo": doDescribeSpecInfo, "DescribeBackupDownloadTask": doDescribeBackupDownloadTask, "InquirePriceCreateDBInstances": doInquirePriceCreateDBInstances, "AssignProject": doAssignProject, "DescribeSlowLog": doDescribeSlowLog, "RenameInstance": doRenameInstance, "UpgradeDBInstance": doUpgradeDBInstance, "KillOps": doKillOps, "CreateBackupDBInstance": doCreateBackupDBInstance, "InquirePriceRenewDBInstances": doInquirePriceRenewDBInstances, } AVAILABLE_VERSION_LIST = [ "v20190725", "v20180408", ] def action_caller(): return ACTION_MAP def parse_global_arg(parsed_globals): g_param = parsed_globals is_exist_profile = True if not parsed_globals["profile"]: is_exist_profile = False g_param["profile"] = "default" configure_path = os.path.join(os.path.expanduser("~"), ".tccli") is_conf_exist, conf_path = Utils.file_existed(configure_path, g_param["profile"] + ".configure") is_cred_exist, cred_path = Utils.file_existed(configure_path, g_param["profile"] + ".credential") conf = {} cred = {} if is_conf_exist: conf = Utils.load_json_msg(conf_path) if is_cred_exist: cred = Utils.load_json_msg(cred_path) if not (isinstance(conf, dict) and isinstance(cred, dict)): raise ConfigurationError( "file: %s or %s is not json format" % (g_param["profile"] + ".configure", g_param["profile"] + ".credential")) if OptionsDefine.Token not in cred: cred[OptionsDefine.Token] = None if not is_exist_profile: if os.environ.get(OptionsDefine.ENV_SECRET_ID) and os.environ.get(OptionsDefine.ENV_SECRET_KEY): cred[OptionsDefine.SecretId] = os.environ.get(OptionsDefine.ENV_SECRET_ID) cred[OptionsDefine.SecretKey] = os.environ.get(OptionsDefine.ENV_SECRET_KEY) cred[OptionsDefine.Token] = os.environ.get(OptionsDefine.ENV_TOKEN) if os.environ.get(OptionsDefine.ENV_REGION): conf[OptionsDefine.Region] = os.environ.get(OptionsDefine.ENV_REGION) for param in g_param.keys(): if g_param[param] is None: if param in [OptionsDefine.SecretKey, OptionsDefine.SecretId, OptionsDefine.Token]: if param in cred: g_param[param] = cred[param] else: raise ConfigurationError("%s is invalid" % param) elif param in [OptionsDefine.Region, OptionsDefine.Output]: if param in conf: g_param[param] = conf[param] else: raise ConfigurationError("%s is invalid" % param) try: if g_param[OptionsDefine.ServiceVersion]: g_param[OptionsDefine.Version] = "v" + g_param[OptionsDefine.ServiceVersion].replace('-', '') else: version = conf["mongodb"][OptionsDefine.Version] g_param[OptionsDefine.Version] = "v" + version.replace('-', '') if g_param[OptionsDefine.Endpoint] is None: g_param[OptionsDefine.Endpoint] = conf["mongodb"][OptionsDefine.Endpoint] except Exception as err: raise ConfigurationError("config file:%s error, %s" % (conf_path, str(err))) if g_param[OptionsDefine.Version] not in AVAILABLE_VERSION_LIST: raise Exception("available versions: %s" % " ".join(AVAILABLE_VERSION_LIST)) return g_param

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0.829264

0.821616

0.817316

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0.763261

0

0.010762

0.163818

46,338

1,063

106

43.591722

0.829535

0.007791

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false

0.008574

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null

0

1

0

1

0

null

0

7

074baf2b70236608b0b38cf13699ae7ca0900d7d

71

py

Python

moviebookingapi/booking/utils.py

John-Salmaan-School/MovieBookingAPI

b5d574155ea4364a0a809f8063a45672938db506

[ "BSD-3-Clause" ]

null

moviebookingapi/booking/utils.py

John-Salmaan-School/MovieBookingAPI

b5d574155ea4364a0a809f8063a45672938db506

[ "BSD-3-Clause" ]

null

moviebookingapi/booking/utils.py

John-Salmaan-School/MovieBookingAPI

b5d574155ea4364a0a809f8063a45672938db506

[ "BSD-3-Clause" ]

null

from uuid import uuid4 def gen_booking_id(): return str(uuid4())

11.833333

23

0.704225

11

71

4.363636

0.909091

0

0.035088

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71

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null

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1

0

7

4afa4ec6a24e0c92a66b0a925f9e5337fad7ae26

18,642

py

Python

tests/test_syntax/blocks/test_headers.py

hatzel/markdown-spoilers

1964f298f0e8b99f1202d36ccc7d8cf7d613ad26

[ "BSD-3-Clause" ]

2

2020-06-21T12:02:58.000Z

2020-09-02T15:21:19.000Z

tests/test_syntax/blocks/test_headers.py

hatzel/markdown-spoilers

1964f298f0e8b99f1202d36ccc7d8cf7d613ad26

[ "BSD-3-Clause" ]

null

tests/test_syntax/blocks/test_headers.py

hatzel/markdown-spoilers

1964f298f0e8b99f1202d36ccc7d8cf7d613ad26

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """ Python Markdown A Python implementation of John Gruber's Markdown. Documentation: https://python-markdown.github.io/ GitHub: https://github.com/Python-Markdown/markdown/ PyPI: https://pypi.org/project/Markdown/ Started by Manfred Stienstra (http://www.dwerg.net/). Maintained for a few years by Yuri Takhteyev (http://www.freewisdom.org). Currently maintained by Waylan Limberg (https://github.com/waylan), Dmitry Shachnev (https://github.com/mitya57) and Isaac Muse (https://github.com/facelessuser). Copyright 2007-2018 The Python Markdown Project (v. 1.7 and later) Copyright 2004, 2005, 2006 Yuri Takhteyev (v. 0.2-1.6b) Copyright 2004 Manfred Stienstra (the original version) License: BSD (see LICENSE.md for details). """ import unittest from markdown.test_tools import TestCase class TestSetextHeaders(TestCase): def test_setext_h1(self): self.assertMarkdownRenders( self.dedent( """ This is an H1 ============= """ ), '<h1>This is an H1</h1>' ) def test_setext_h2(self): self.assertMarkdownRenders( self.dedent( """ This is an H2 ------------- """ ), '<h2>This is an H2</h2>' ) def test_setext_h1_mismatched_length(self): self.assertMarkdownRenders( self.dedent( """ This is an H1 === """ ), '<h1>This is an H1</h1>' ) def test_setext_h2_mismatched_length(self): self.assertMarkdownRenders( self.dedent( """ This is an H2 --- """ ), '<h2>This is an H2</h2>' ) def test_setext_h1_followed_by_p(self): self.assertMarkdownRenders( self.dedent( """ This is an H1 ============= Followed by a Paragraph with no blank line. """ ), self.dedent( """ <h1>This is an H1</h1> <p>Followed by a Paragraph with no blank line.</p> """ ) ) def test_setext_h2_followed_by_p(self): self.assertMarkdownRenders( self.dedent( """ This is an H2 ------------- Followed by a Paragraph with no blank line. """ ), self.dedent( """ <h2>This is an H2</h2> <p>Followed by a Paragraph with no blank line.</p> """ ) ) # TODO: fix this # see https://johnmacfarlane.net/babelmark2/?normalize=1&text=Paragraph%0AAn+H1%0A%3D%3D%3D%3D%3D @unittest.skip('This is broken in Python-Markdown') def test_p_followed_by_setext_h1(self): self.assertMarkdownRenders( self.dedent( """ This is a Paragraph. Followed by an H1 with no blank line. ===================================== """ ), self.dedent( """ <p>This is a Paragraph.</p> <h1>Followed by an H1 with no blank line.</h1> """ ) ) # TODO: fix this # see https://johnmacfarlane.net/babelmark2/?normalize=1&text=Paragraph%0AAn+H2%0A----- @unittest.skip('This is broken in Python-Markdown') def test_p_followed_by_setext_h2(self): self.assertMarkdownRenders( self.dedent( """ This is a Paragraph. Followed by an H2 with no blank line. ------------------------------------- """ ), self.dedent( """ <p>This is a Paragraph.</p> <h2>Followed by an H2 with no blank line.</h2> """ ) ) class TestHashHeaders(TestCase): def test_hash_h1_open(self): self.assertMarkdownRenders( '# This is an H1', '<h1>This is an H1</h1>' ) def test_hash_h2_open(self): self.assertMarkdownRenders( '## This is an H2', '<h2>This is an H2</h2>' ) def test_hash_h3_open(self): self.assertMarkdownRenders( '### This is an H3', '<h3>This is an H3</h3>' ) def test_hash_h4_open(self): self.assertMarkdownRenders( '#### This is an H4', '<h4>This is an H4</h4>' ) def test_hash_h5_open(self): self.assertMarkdownRenders( '##### This is an H5', '<h5>This is an H5</h5>' ) def test_hash_h6_open(self): self.assertMarkdownRenders( '###### This is an H6', '<h6>This is an H6</h6>' ) def test_hash_gt6_open(self): self.assertMarkdownRenders( '####### This is an H6', '<h6># This is an H6</h6>' ) def test_hash_h1_open_missing_space(self): self.assertMarkdownRenders( '#This is an H1', '<h1>This is an H1</h1>' ) def test_hash_h2_open_missing_space(self): self.assertMarkdownRenders( '##This is an H2', '<h2>This is an H2</h2>' ) def test_hash_h3_open_missing_space(self): self.assertMarkdownRenders( '###This is an H3', '<h3>This is an H3</h3>' ) def test_hash_h4_open_missing_space(self): self.assertMarkdownRenders( '####This is an H4', '<h4>This is an H4</h4>' ) def test_hash_h5_open_missing_space(self): self.assertMarkdownRenders( '#####This is an H5', '<h5>This is an H5</h5>' ) def test_hash_h6_open_missing_space(self): self.assertMarkdownRenders( '######This is an H6', '<h6>This is an H6</h6>' ) def test_hash_gt6_open_missing_space(self): self.assertMarkdownRenders( '#######This is an H6', '<h6>#This is an H6</h6>' ) def test_hash_h1_closed(self): self.assertMarkdownRenders( '# This is an H1 #', '<h1>This is an H1</h1>' ) def test_hash_h2_closed(self): self.assertMarkdownRenders( '## This is an H2 ##', '<h2>This is an H2</h2>' ) def test_hash_h3_closed(self): self.assertMarkdownRenders( '### This is an H3 ###', '<h3>This is an H3</h3>' ) def test_hash_h4_closed(self): self.assertMarkdownRenders( '#### This is an H4 ####', '<h4>This is an H4</h4>' ) def test_hash_h5_closed(self): self.assertMarkdownRenders( '##### This is an H5 #####', '<h5>This is an H5</h5>' ) def test_hash_h6_closed(self): self.assertMarkdownRenders( '###### This is an H6 ######', '<h6>This is an H6</h6>' ) def test_hash_gt6_closed(self): self.assertMarkdownRenders( '####### This is an H6 #######', '<h6># This is an H6</h6>' ) def test_hash_h1_closed_missing_space(self): self.assertMarkdownRenders( '#This is an H1#', '<h1>This is an H1</h1>' ) def test_hash_h2_closed_missing_space(self): self.assertMarkdownRenders( '##This is an H2##', '<h2>This is an H2</h2>' ) def test_hash_h3_closed_missing_space(self): self.assertMarkdownRenders( '###This is an H3###', '<h3>This is an H3</h3>' ) def test_hash_h4_closed_missing_space(self): self.assertMarkdownRenders( '####This is an H4####', '<h4>This is an H4</h4>' ) def test_hash_h5_closed_missing_space(self): self.assertMarkdownRenders( '#####This is an H5#####', '<h5>This is an H5</h5>' ) def test_hash_h6_closed_missing_space(self): self.assertMarkdownRenders( '######This is an H6######', '<h6>This is an H6</h6>' ) def test_hash_gt6_closed_missing_space(self): self.assertMarkdownRenders( '#######This is an H6#######', '<h6>#This is an H6</h6>' ) def test_hash_h1_closed_mismatch(self): self.assertMarkdownRenders( '# This is an H1 ##', '<h1>This is an H1</h1>' ) def test_hash_h2_closed_mismatch(self): self.assertMarkdownRenders( '## This is an H2 #', '<h2>This is an H2</h2>' ) def test_hash_h3_closed_mismatch(self): self.assertMarkdownRenders( '### This is an H3 #', '<h3>This is an H3</h3>' ) def test_hash_h4_closed_mismatch(self): self.assertMarkdownRenders( '#### This is an H4 #', '<h4>This is an H4</h4>' ) def test_hash_h5_closed_mismatch(self): self.assertMarkdownRenders( '##### This is an H5 #', '<h5>This is an H5</h5>' ) def test_hash_h6_closed_mismatch(self): self.assertMarkdownRenders( '###### This is an H6 #', '<h6>This is an H6</h6>' ) def test_hash_gt6_closed_mismatch(self): self.assertMarkdownRenders( '####### This is an H6 ##################', '<h6># This is an H6</h6>' ) def test_hash_h1_followed_by_p(self): self.assertMarkdownRenders( self.dedent( """ # This is an H1 Followed by a Paragraph with no blank line. """ ), self.dedent( """ <h1>This is an H1</h1> <p>Followed by a Paragraph with no blank line.</p> """ ) ) def test_hash_h2_followed_by_p(self): self.assertMarkdownRenders( self.dedent( """ ## This is an H2 Followed by a Paragraph with no blank line. """ ), self.dedent( """ <h2>This is an H2</h2> <p>Followed by a Paragraph with no blank line.</p> """ ) ) def test_hash_h3_followed_by_p(self): self.assertMarkdownRenders( self.dedent( """ ### This is an H3 Followed by a Paragraph with no blank line. """ ), self.dedent( """ <h3>This is an H3</h3> <p>Followed by a Paragraph with no blank line.</p> """ ) ) def test_hash_h4_followed_by_p(self): self.assertMarkdownRenders( self.dedent( """ #### This is an H4 Followed by a Paragraph with no blank line. """ ), self.dedent( """ <h4>This is an H4</h4> <p>Followed by a Paragraph with no blank line.</p> """ ) ) def test_hash_h5_followed_by_p(self): self.assertMarkdownRenders( self.dedent( """ ##### This is an H5 Followed by a Paragraph with no blank line. """ ), self.dedent( """ <h5>This is an H5</h5> <p>Followed by a Paragraph with no blank line.</p> """ ) ) def test_hash_h6_followed_by_p(self): self.assertMarkdownRenders( self.dedent( """ ###### This is an H6 Followed by a Paragraph with no blank line. """ ), self.dedent( """ <h6>This is an H6</h6> <p>Followed by a Paragraph with no blank line.</p> """ ) ) def test_hash_h1_leading_space(self): self.assertMarkdownRenders( ' # This is an H1', '<p># This is an H1</p>' ) def test_hash_h2_leading_space(self): self.assertMarkdownRenders( ' ## This is an H2', '<p>## This is an H2</p>' ) def test_hash_h3_leading_space(self): self.assertMarkdownRenders( ' ### This is an H3', '<p>### This is an H3</p>' ) def test_hash_h4_leading_space(self): self.assertMarkdownRenders( ' #### This is an H4', '<p>#### This is an H4</p>' ) def test_hash_h5_leading_space(self): self.assertMarkdownRenders( ' ##### This is an H5', '<p>##### This is an H5</p>' ) def test_hash_h6_leading_space(self): self.assertMarkdownRenders( ' ###### This is an H6', '<p>###### This is an H6</p>' ) def test_hash_h1_open_trailing_space(self): self.assertMarkdownRenders( '# This is an H1 ', '<h1>This is an H1</h1>' ) def test_hash_h2_open_trailing_space(self): self.assertMarkdownRenders( '## This is an H2 ', '<h2>This is an H2</h2>' ) def test_hash_h3_open_trailing_space(self): self.assertMarkdownRenders( '### This is an H3 ', '<h3>This is an H3</h3>' ) def test_hash_h4_open_trailing_space(self): self.assertMarkdownRenders( '#### This is an H4 ', '<h4>This is an H4</h4>' ) def test_hash_h5_open_trailing_space(self): self.assertMarkdownRenders( '##### This is an H5 ', '<h5>This is an H5</h5>' ) def test_hash_h6_open_trailing_space(self): self.assertMarkdownRenders( '###### This is an H6 ', '<h6>This is an H6</h6>' ) def test_hash_gt6_open_trailing_space(self): self.assertMarkdownRenders( '####### This is an H6 ', '<h6># This is an H6</h6>' ) # TODO: Possibly change the following behavior. While this follows the behavior # of markdown.pl, it is rather uncommon and not nessecarily intuitive. # See: https://johnmacfarlane.net/babelmark2/?normalize=1&text=%23+This+is+an+H1+%23+ def test_hash_h1_closed_trailing_space(self): self.assertMarkdownRenders( '# This is an H1 # ', '<h1>This is an H1 #</h1>' ) def test_hash_h2_closed_trailing_space(self): self.assertMarkdownRenders( '## This is an H2 ## ', '<h2>This is an H2 ##</h2>' ) def test_hash_h3_closed_trailing_space(self): self.assertMarkdownRenders( '### This is an H3 ### ', '<h3>This is an H3 ###</h3>' ) def test_hash_h4_closed_trailing_space(self): self.assertMarkdownRenders( '#### This is an H4 #### ', '<h4>This is an H4 ####</h4>' ) def test_hash_h5_closed_trailing_space(self): self.assertMarkdownRenders( '##### This is an H5 ##### ', '<h5>This is an H5 #####</h5>' ) def test_hash_h6_closed_trailing_space(self): self.assertMarkdownRenders( '###### This is an H6 ###### ', '<h6>This is an H6 ######</h6>' ) def test_hash_gt6_closed_trailing_space(self): self.assertMarkdownRenders( '####### This is an H6 ####### ', '<h6># This is an H6 #######</h6>' ) def test_no_blank_lines_between_hashs(self): self.assertMarkdownRenders( self.dedent( """ # This is an H1 ## This is an H2 """ ), self.dedent( """ <h1>This is an H1</h1> <h2>This is an H2</h2> """ ) ) def test_random_hash_levels(self): self.assertMarkdownRenders( self.dedent( """ ### H3 ###### H6 # H1 ##### H5 #### H4 ## H2 ### H3 """ ), self.dedent( """ <h3>H3</h3> <h6>H6</h6> <h1>H1</h1> <h5>H5</h5> <h4>H4</h4> <h2>H2</h2> <h3>H3</h3> """ ) ) def test_hash_followed_by_p(self): self.assertMarkdownRenders( self.dedent( """ # This is an H1 Followed by a Paragraph with no blank line. """ ), self.dedent( """ <h1>This is an H1</h1> <p>Followed by a Paragraph with no blank line.</p> """ ) ) def test_p_followed_by_hash(self): self.assertMarkdownRenders( self.dedent( """ This is a Paragraph. # Followed by an H1 with no blank line. """ ), self.dedent( """ <p>This is a Paragraph.</p> <h1>Followed by an H1 with no blank line.</h1> """ ) ) def test_escaped_hash(self): self.assertMarkdownRenders( "### H3 \\###", self.dedent( """ <h3>H3 #</h3> """ ) ) def test_unescaped_hash(self): self.assertMarkdownRenders( "### H3 \\\\###", self.dedent( """ <h3>H3 \\</h3> """ ) )

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ab09fa9597707214317f4d54cf6b5044feba90b2

16,154

py

Python

test/test_subscriptionattr.py

telstra/EventDetectionAPI-SDK-python

94f3bb56ebd3e7bcb8818af3b1b43d910f92bd1f

[ "Apache-2.0" ]

3

2018-05-23T11:12:25.000Z

2020-05-18T00:53:50.000Z

test/test_subscriptionattr.py

telstra/EventDetectionAPI-SDK-python

94f3bb56ebd3e7bcb8818af3b1b43d910f92bd1f

[ "Apache-2.0" ]

null

test/test_subscriptionattr.py

telstra/EventDetectionAPI-SDK-python

94f3bb56ebd3e7bcb8818af3b1b43d910f92bd1f

[ "Apache-2.0" ]

1

2018-12-10T01:35:11.000Z

# coding: utf-8 """ Telstra Event Detection API # Introduction Telstra's Event Detection API provides the ability to subscribe to and receive mobile network events for registered mobile numbers associated with Telstra's mobile network, such as; SIM swap, port-in, port-out, new MSIDN, new mobile service and cancelled mobile service, as well as carrier-detection. ## Features Event Detection API provides these features | Feature | Description | |---|---| |`SIM swap` | Returns timestamped event data when any of the following network events occurs in connection with a registered mobile number associated with Telstraâ€™s mobile network: SIM swap, port-in, port-out, new MSISDN, new mobile service or cancelled mobile service | |`Carrier Detection` | Find out what Australian carrier a mobile number is subscribed to | |`International Roaming` | *Coming soon.* Will indicate if a mobile number is operaing in Australia or outside of Australia. | ## Getting access to the API The Event Detection API is available on our Enterprise Plans only. Please submit your [sales enquiry](https://dev.telstra.com/content/sales-enquiry-contact-form) . Or contact your Telstra Account Executive. We're available Monday to Friday 9am - 5pm. ## Frequently asked questions **Q: What is the Telstra Event Detection (TED) API?** A: The Telstra Event Detection (TED) API is a subscription based service from Telstra that enables a customer to be alerted when a particular network event is detected in connection with a registered mobile number that may indicate that a fraudulent misuse of an end userâ€™s mobility service is about to occur. **Q: What are the network events that the TED API can detect?** A: Currently the TED API is able to detect a bundle of events associated with Telstra SIM swaps. **Q: Can TED API detect number porting between operators other than Telstra? E.g. Optus to Vodafone?** A: No, we donâ€™t report these type of events at present. **Q: How quickly are the network events detected?** A: This will vary depending on the event being detected, but generally we detect the event within a couple of seconds of it occurring and notify subscribers within near real time via the API. **Q: How long does Telstra store the event data for?** A: Event data is stored for 90 days from the occurrence of a network event and then securely purged. **Q: Is there a limit to the number of registered mobile numbers I can have for the Telstra Event Detection API?** A: No. You may have as many Telstra Event Detection API registered mobile numbers as you require within practical limits. **Q: Why is monitoring for SIM SWAP events important?** A: Criminals are becoming much more savvy and will often try to circumvent two factor authentication protocols by swapping the SIM card for a particular mobile number in order to gain fraudulent access to the end userâ€™s service. Monitoring for SIM swap events may provide early detection that this is occurring and help prevent criminals from being successful in their endeavours. **Q: If an end user is currently a customer of a Telstra Reseller that still utilises the Telstra Network, am I able to detect their Network events?** A: No. Telstra resellers such as Aldi Mobile are Mobile Virtual Network Operators (MVNO) that operate as totally independent businesses to Telstra. The Telstra SIM swap API does not monitor MNVO network events at present. **Q: How do I purchase Telstra Event Detection API?** A: At the moment, the Telstra Event Detection API is only available through your Telstra Account Manager. If you don't have a Telstra Account Manager, or are not sure who they are, please submit a [sales enquiry](https://dev.telstra.com/content/sales-enquiry-contact-form). **Q: What support options are available for the Telstra Event Detection API?** A: We provide 24/7 telephone based technical support (for paid plans) along with email support and an online community forum. **Q: Do you detect network events from another carrier?** A: The Telstra Event Detection API detects network events associated with the Telstra network and Telstra mobile services. **Q: Which Telstra personnel have access to the event detection data?** A: Access to Telstra Event Detection data is restricted to only Telstra personnel that require access for the purposes of providing the service. **Q: Why should I purchase the Telstra Event Detection API from Telstra?** A: As the network events are occurring on the Telstra network, Telstra is in a position to be able to provide fast notification of an event as it is occurring, helping subscribers to prevent fraudulent activity from occurring and to minimise the resulting financial losses. **Q: If I require assistance setting up my Telstra Event Detection API, are there any Professional Services options available to me?** A: At the current time, the Telstra Event Detection API does not have any Professional Service options available. **Q: What subscription options are available for Telstra Event Detection API?** A: There is a month-by-month Pay As You Go (PAYG) plan or 12 Month contract option available. **Q: Do Early Termination Charges (ETCâ€™s) apply?** A: If you have subscribed to a 12 month contract and want to terminate the plan or downgrade to a lower plan before the expiry of your existing 12 month term, we may charge you ETCs. **Q: What privacy requirements apply to my use of the Telstra Event Detection API?** A: Before registering an end users mobile number with Telstra Event Detection API, you must: 1. prepare an 'End User Notifications'. for our approval, which sets out what end user information will be disclosed via the API, the purposes for which that information will be disclosed, and to which third parties that information will be disclosed; 2. provide each of your end user with the End User Notification; and 3. obtain express, informed consent from each end user to the use and disclosure of their event data via the API for the purposes set out in the notification. **Q: What terms and conditions apply to my use of the Telstra Event Detection API?** A: Before using the Telstra Event Detection API, you must agree to the TED API ['Our Customer Terms'](https://www.telstra.com.au/customer-terms/business-government#cloud-services). # Getting Started First step is to create an `App`. After you've created an `App`, follow these steps 1. Authenticate by getting an Oauth token 2. Use the Event Detection API ## Run in Postman To get started quickly and easily with all the features of the Event Detection API, download the Postman collection here <a href=\"https://app.getpostman.com/run-collection/8ab2273e066e5c6fd653#?env%5BEvent%20Detection%20API%5D=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\"><img alt=\"Run in Postman\" src=\"https://run.pstmn.io/button.svg\" /></a> ## Authentication To get an OAuth 2.0 Authentication token, pass through your Consumer Key and Consumer Secret that you received when you registered for the Event Detection API key. The `grant_type` should be left as `client_credentials` and the scope as v1_eventdetection_simswap. The token will expire in one hour. Get your keys by creating an `App`. # Request ` CONSUMER_KEY=\"your consumer key\" CONSUMER_SECRET=\"your consumer secret\" curl -X POST -H 'Content-Type: application/x-www-form-urlencoded' \\ -d 'grant_type=client_credentials&client_id=$CONSUMER_KEY&client_secret=$CONSUMER_SECRET&scope=v1_eventdetection_simswap' \\ 'https://tapi.telstra.com/v2/oauth/token' ` # Response `{ \"access_token\" : \"1234567890123456788901234567\", \"token_type\" : \"Bearer\", \"expires_in\" : \"3599\" }` ## Subscribe mobile numbers Subscribing end user mobile numbers informs the API to register that mobile number so that you can poll those numbers for particular events. You can subscribe and unsubscribe numbers (opt in and opt out) against this service. Only numbers that are opted in (i.e. subscribed) can be polled for events. You must have obtained your end customerâ€™s consent before you can opt them into the Event Detection service. # Request `curl -X POST -H 'content-type: application/json' \\ -H 'Authorization: Bearer $TOKEN' \\ -d '{ \"msisdns\": [ \"61467754783\" ], \"eventType\": \"simswap\", \"notificationUrl\": \"https://requestb.in/161r14g1\" }' \\ 'https://tapi.telstra.com/v1/eventdetection/events'` | Parameter | Description | |---|---| |`msisdns` | list of mobile numbers that has to be registered for the event | |`eventType` | event Type to be subscribed to | |`notificationUrl` | URL where the event notifications has to be posted (Optional) | # Response `{ \"msisdns\": [ { \"msisdn\": \"61467754783\", \"description\": \"opt-in status updated for this MSISDN\", \"carrierName\": \"Telstra\" } ] }` | Parameter | Description | |---|---| |`msisdn` | msisdn | |`description` | status description indicating if the msisdn was opted-in| |`carrierName` | carrier name for the msisdn | ## Unsubscribe mobile numbers Unsubscribe mobile numbers against a particular event # Request `curl -X DELETE -H 'content-type: application/json' \\ -H 'Authorization: Bearer $token' \\ -d '{\"msisdns\": [\"61467754783\"]}' \\ 'https://tapi.telstra.com/v1/eventdetection/events/{event-type}'` | Parameter | Description | |---|---| |`msisdns` | list of mobile numbers that has to be unsubscribed from the event | |`eventType` | event Type to be unsubscribed from | |`notificationUrl` | notification URL that has to be removed (Optional) | # Response ` { \"msisdns\": [ { \"msisdn\": \"61467754783\", \"description\": \"opt-out status updated for this MSISDN\", \"carrierName\": \"Telstra\" } ] } ` | Parameter | Description | |---|---| |`msisdn` | msisdn | |`description` | status description indicating if the msisdn was opted-out | |`carrierName` | carrier name for the msisdn | ## Get event subscriptions Get the list of events subscribed for # Request `curl -X POST -H 'content-type: application/json' \\ -H 'Authorization: Bearer $TOKEN' \\ -d '{ \"msisdns\": [ \"61467754783\" ] }' \\ 'https://tapi.telstra.com/v1/eventdetection/events/subscriptions'` | Parameter | Description | |---|---| |`msisdns` | list of msisdns to get the subscription details | # Response ` { \"notificationURL\": \"https://requestb.in/161r14g1\", \"subscriptions\": [ { \"msisdn\": \"61467754783\", \"events\": [ \"SIM_SWAP\" ], \"carrierName\": \"Telstra\" } ] } ` | Parameter | Description | |---|---| |`notificationURL` | notification URL configured while registering msisdns | |`msisdn` | msisdn | |`events` | list of subscribed events for that msisdn | |`carrierName` | carrier name for the msisdn | ## Poll events Poll events for a given set of msisdns # Request `curl -X POST -H 'content-type: application/json' \\ -H 'Authorization: Bearer $token' \\ -d '{ \"msisdns\": [ \"61467754783\", \"61467984007\" ] }' \\ 'https://tapi.telstra.com/v1/eventdetection/events/{event_type}'` Parameter | Description | |---|---| |`msisdns` | list of msisdns to be polled for events | |`eventType` | event Type to be polled for | # Response ` { \"eventType\": \"simswap\", \"msisdns\": [ { \"msisdn\": \"+61467754783\", \"mobileServiceEvents\": [ { \"eventId\": \"NEW_SIM\", \"eventDate\": \"2018-01-19T14:40:34\" } ] }, { \"msisdn\": \"+61467984007\", \"mobileServiceEvents\": [ { \"eventId\": \"PORTOUT_SVC\", \"eventDate\": \"2018-02-21T15:20:01\", \"carrierName\": \"Telstra\" } ] } ] } ` | Parameter | Description | |---|---| |`eventType` | event type requested | |`msisdn` | msisdn | |`mobileServiceEvents` | list of service events | |`eventId` | Id of the event occured. Event Id can be any one of the following - NEW_MSISDN, PORTIN_SVC, PORTOUT_SVC, NEW_SIM, CREATE_SVC, DELETE_SVC | |`eventDate` | timestamp indicating when the event occured | |`carrierName` | carrier name for the msisdn. Carrier name will be returned only for port out events | ## Push notifications Push event notifications to the URL are configured with the parameter `notificationUrl` while subscribing mobile numbers. # Event notification format ` { \"eventId\": \"NEW_SIM\", \"msisdn\" : \"61467754783\", \"eventDate\" : \"2018-01-19T14:40:34\" } ` | Parameter | Description | |---|---| |`eventId` | event Id indicating the event occured. Event Id can be any one of the following - NEW_MSISDN, PORTIN_SVC, PORTOUT_SVC, NEW_SIM, CREATE_SVC, DELETE_SVC | |`msisdn` | msisdn for which the event occured | |`eventDate` | timestamp indicating when the event occured | ## SIMswap sub-features The following is a list of the sub-features for SIM swap and the description for that sub-feature. These will appear in the 'eventId' parameter in the API response payload for SIMswap events. | SIM swap Sub-Feature | Description | |---|---| |`NEW_MSISDN` | The MSISDN of a service changes. The SIM card is not changed. Results in two events being created: 1) CREATE_SVC/PORT_IN_SVC for the new number, and 2) a NEW_MSISDN for the old MSISDN | |`PORTIN_SVC` | A MSISDN registered for event detection is created as a mobile service on the Telstra network (note: if the MSISDN was not already registered by at least one customer for at least one event type, this event would be interpreted as a CREATE_SVC) | |`PORTOUT_SVC` | The MSISDN is ported out from Telstra to another domestic operator | |`NEW_SIM` | An existing Telstra MSISDN is moved onto a new SIM | |`CREATE_SVC` | A new mobile service is created on the Telstra network (a new SIM and a new MSISDN) | |`DELETE_SVC` | A mobile service (MSISDN and SIM) on the Telstra network is cancelled outright (as opposed to ported out to another domestic network) | ## SDK repos * [Event Detection API - Java SDK](https://github.com/telstra/EventDetectionAPI-SDK-java) * [Event Detection API - .Net2 SDK](https://github.com/telstra/EventDetectionAPI-SDK-dotnet) * [Event Detection API - NodeJS SDK](https://github.com/telstra/EventDetectionAPI-SDK-node) * [Event Detection API - PHP SDK](https://github.com/telstra/EventDetectionAPI-SDK-php) * [Event Detection API - Python SDK](https://github.com/telstra/EventDetectionAPI-SDK-python) * [Event Detection API - Ruby SDK](https://github.com/telstra/EventDetectionAPI-SDK-ruby) # noqa: E501 OpenAPI spec version: 1.0.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import unittest import Telstra_EventDetection from Telstra_EventDetection.models.subscriptionattr import Subscriptionattr # noqa: E501 from Telstra_EventDetection.rest import ApiException class TestSubscriptionattr(unittest.TestCase): """Subscriptionattr unit test stubs""" def setUp(self): pass def tearDown(self): pass def testSubscriptionattr(self): """Test Subscriptionattr""" # FIXME: construct object with mandatory attributes with example values # model = Telstra_EventDetection.models.subscriptionattr.Subscriptionattr() # noqa: E501 pass if __name__ == '__main__': unittest.main()

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ab509a20bf19cb075e724c4f936b462ce2dc84e4

17,665

py

Python

tests/test_nearest.py

harisankarh/mabwiser

0c860253be017d1f393e18bf9d9d7e1739f93dca

[ "Apache-2.0" ]

60

2020-06-10T11:20:52.000Z

2022-03-25T02:16:47.000Z

tests/test_nearest.py

harisankarh/mabwiser

0c860253be017d1f393e18bf9d9d7e1739f93dca

[ "Apache-2.0" ]

24

2020-06-04T18:40:21.000Z

2022-03-24T16:49:51.000Z

tests/test_nearest.py

harisankarh/mabwiser

0c860253be017d1f393e18bf9d9d7e1739f93dca

[ "Apache-2.0" ]

12

2020-11-30T10:37:05.000Z

2022-03-25T02:16:41.000Z

# -*- coding: utf-8 -*- import numpy as np from mabwiser.mab import LearningPolicy, NeighborhoodPolicy from tests.test_base import BaseTest class NearestTest(BaseTest): def test_greedy0_k2(self): arms, mab = self.predict(arms=[1, 2, 3, 4], decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3], rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1], learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0), neighborhood_policy=NeighborhoodPolicy.KNearest(2), context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0], [0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0], [0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3], [0, 2, 1, 0, 0]], contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]], seed=123456, num_run=1, is_predict=True) self.assertListEqual(arms, [1, 1]) def test_greedy0_k2_single_test(self): arms, mab = self.predict(arms=[1, 2, 3, 4], decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3], rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1], learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0), neighborhood_policy=NeighborhoodPolicy.KNearest(2), context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0], [0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0], [0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3], [0, 2, 1, 0, 0]], contexts=[[0, 1, 2, 3, 5]], seed=123456, num_run=1, is_predict=True) self.assertEqual(arms, 1) def test_greedy0_k2_single_list(self): arms, mab = self.predict(arms=[1, 2, 3, 4], decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3], rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1], learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0), neighborhood_policy=NeighborhoodPolicy.KNearest(2), context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0], [0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0], [0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3], [0, 2, 1, 0, 0]], contexts=[[0, 1, 2, 3, 5]], seed=123456, num_run=1, is_predict=True) self.assertEqual(arms, 1) def test_greedy0_k2_exps(self): exps, mab = self.predict(arms=[1, 2, 3, 4], decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3], rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1], learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0), neighborhood_policy=NeighborhoodPolicy.KNearest(2), context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0], [0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0], [0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3], [0, 2, 1, 0, 0]], contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]], seed=123456, num_run=1, is_predict=False) self.assertDictEqual(exps[0], {1: 0.0, 2: 0.0, 3: 0, 4: 0}) self.assertDictEqual(exps[1], {1: 1.0, 2: 0.0, 3: 0, 4: 0}) def test_greedy0_k5(self): arms, mab = self.predict(arms=[1, 2, 3, 4], decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3], rewards=[0, 0, 0, 1, 1, 0, 0, 1, 1, 1], learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0), neighborhood_policy=NeighborhoodPolicy.KNearest(5), context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0], [0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0], [0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3], [0, 2, 1, 0, 0]], contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]], seed=123456, num_run=1, is_predict=True) self.assertListEqual(arms, [2, 2]) def test_greedy1_k2(self): arms, mab = self.predict(arms=[1, 2, 3, 4], decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3], rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1], learning_policy=LearningPolicy.EpsilonGreedy(epsilon=1.0), neighborhood_policy=NeighborhoodPolicy.KNearest(2), context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0], [0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0], [0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3], [0, 2, 1, 0, 0]], contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]], seed=123456, num_run=1, is_predict=True) self.assertListEqual(arms, [4, 1]) def test_thompson_k2(self): arms, mab = self.predict(arms=[1, 2, 3, 4], decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3], rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1], learning_policy=LearningPolicy.ThompsonSampling(), neighborhood_policy=NeighborhoodPolicy.KNearest(2), context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0], [0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0], [0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3], [0, 2, 1, 0, 0]], contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]], seed=123456, num_run=1, is_predict=True) self.assertListEqual(arms, [4, 4]) def test_ucb_k2(self): arms, mab = self.predict(arms=[1, 2, 3, 4], decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3], rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1], learning_policy=LearningPolicy.UCB1(alpha=1), neighborhood_policy=NeighborhoodPolicy.KNearest(2), context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0], [0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0], [0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3], [0, 2, 1, 0, 0]], contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]], seed=123456, num_run=1, is_predict=True) self.assertListEqual(arms, [1, 1]) def test_softmax_k2(self): arms, mab = self.predict(arms=[1, 2, 3, 4], decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3], rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1], learning_policy=LearningPolicy.Softmax(tau=1), neighborhood_policy=NeighborhoodPolicy.KNearest(2), context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0], [0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0], [0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3], [0, 2, 1, 0, 0]], contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]], seed=123456, num_run=1, is_predict=True) self.assertListEqual(arms, [3, 2]) def test_max_k(self): arms, mab = self.predict(arms=[1, 2, 3, 4], decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3], rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1], learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0), neighborhood_policy=NeighborhoodPolicy.KNearest(10), context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0], [0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0], [0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3], [0, 2, 1, 0, 0]], contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]], seed=123456, num_run=1, is_predict=True) self.assertListEqual(arms, [1, 1]) def test_partial_fit_greedy0_r2(self): arms, mab = self.predict(arms=[1, 2, 3, 4], decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3], rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1], learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0), neighborhood_policy=NeighborhoodPolicy.KNearest(2), context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0], [0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0], [0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3], [0, 2, 1, 0, 0]], contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]], seed=123456, num_run=1, is_predict=True) self.assertListEqual(arms, [1, 1]) self.assertEqual(len(mab._imp.decisions), 10) self.assertEqual(len(mab._imp.decisions), 10) self.assertEqual(len(mab._imp.rewards), 10) self.assertEqual(np.ndim(mab._imp.decisions), 1) decisions2 = [1, 2, 3] rewards2 = [1, 1, 1] context_history2 = [[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0]] mab.partial_fit(decisions2, rewards2, context_history2) self.assertEqual(len(mab._imp.decisions), 13) self.assertEqual(len(mab._imp.rewards), 13) self.assertEqual(len(mab._imp.contexts), 13) self.assertEqual(np.ndim(mab._imp.decisions), 1) def test_partial_fit_thompson_thresholds(self): arm_to_threshold = {1: 1, 2: 5, 3: 2, 4: 3} def binarize(arm, reward): return reward >= arm_to_threshold[arm] arms, mab = self.predict(arms=[1, 2, 3, 4], decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3], rewards=[0, 1, 7, 0, 1, 9, 0, 2, 6, 11], learning_policy=LearningPolicy.ThompsonSampling(binarize), neighborhood_policy=NeighborhoodPolicy.KNearest(2), context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0], [0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0], [0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3], [0, 2, 1, 0, 0]], contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]], seed=123456, num_run=1, is_predict=True) self.assertTrue(mab._imp.lp.is_contextual_binarized) self.assertListEqual(arms, [4, 4]) self.assertEqual(len(mab._imp.decisions), 10) self.assertEqual(len(mab._imp.rewards), 10) self.assertEqual(len(mab._imp.contexts), 10) self.assertEqual(np.ndim(mab._imp.decisions), 1) self.assertListEqual(list(set(mab._imp.rewards)), [0, 1]) decisions2 = [1, 2, 3] rewards2 = [11, 1, 6] context_history2 = [[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0]] mab.partial_fit(decisions2, rewards2, context_history2) self.assertEqual(len(mab._imp.decisions), 13) self.assertEqual(len(mab._imp.rewards), 13) self.assertEqual(len(mab._imp.contexts), 13) self.assertEqual(np.ndim(mab._imp.decisions), 1) arm = mab.predict([[0, 1, 2, 3, 5]]) self.assertEqual(arm, 3) self.assertListEqual(list(set(mab._imp.rewards)), [0, 1]) def test_fit_twice_thompson_thresholds(self): arm_to_threshold = {1: 1, 2: 5, 3: 2, 4: 3} def binarize(arm, reward): return reward >= arm_to_threshold[arm] arms, mab = self.predict(arms=[1, 2, 3, 4], decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3], rewards=[0, 1, 7, 0, 1, 9, 0, 2, 6, 11], learning_policy=LearningPolicy.ThompsonSampling(binarize), neighborhood_policy=NeighborhoodPolicy.KNearest(2), context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0], [0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0], [0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3], [0, 2, 1, 0, 0]], contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]], seed=123456, num_run=1, is_predict=True) self.assertTrue(mab._imp.lp.is_contextual_binarized) self.assertListEqual(arms, [4, 4]) self.assertEqual(len(mab._imp.decisions), 10) self.assertEqual(len(mab._imp.rewards), 10) self.assertEqual(len(mab._imp.contexts), 10) self.assertEqual(np.ndim(mab._imp.decisions), 1) self.assertListEqual(list(set(mab._imp.rewards)), [0, 1]) decisions2 = [1, 2, 3] rewards2 = [11, 1, 6] context_history2 = [[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0]] mab.fit(decisions2, rewards2, context_history2) self.assertEqual(len(mab._imp.decisions), 3) self.assertEqual(len(mab._imp.rewards), 3) self.assertEqual(len(mab._imp.contexts), 3) self.assertEqual(np.ndim(mab._imp.decisions), 1) self.assertListEqual(list(set(mab._imp.rewards)), [0, 1]) def test_add_arm(self): arms, mab = self.predict(arms=[1, 2, 3, 4], decisions=[1, 1, 1, 2, 2, 3, 3, 3, 3, 3], rewards=[0, 1, 1, 0, 0, 0, 0, 1, 1, 1], learning_policy=LearningPolicy.EpsilonGreedy(epsilon=0), neighborhood_policy=NeighborhoodPolicy.KNearest(2), context_history=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1], [0, 0, 1, 0, 0], [0, 2, 2, 3, 5], [1, 3, 1, 1, 1], [0, 0, 0, 0, 0], [0, 1, 4, 3, 5], [0, 1, 2, 4, 5], [1, 2, 1, 1, 3], [0, 2, 1, 0, 0]], contexts=[[0, 1, 2, 3, 5], [1, 1, 1, 1, 1]], seed=123456, num_run=1, is_predict=True) mab.add_arm(5) self.assertTrue(5 in mab.arms) self.assertTrue(5 in mab._imp.arms) self.assertTrue(5 in mab._imp.lp.arms) self.assertTrue(5 in mab._imp.lp.arm_to_expectation.keys())

54.187117

100

0.363091

2,169

17,665

2.88059

0.044721

0.074264

0.06194

0.037132

0.931178

0.922055

0.90493

0.900608

0.888764

0.885243

0

0.167404

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17,665

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1

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false

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0

null

0

1

0

1

0

null

0

7

db63148fdce86b2b15135ed33f87084c3bf232ca

24,131

py

Python

bin/azure/mgmt/consumption/operations/budgets_operations.py

zdmc23/bash-lambda-layer

e762df0189cfb894dab2d96bae1655b8857d5efb

[ "MIT" ]

null

bin/azure/mgmt/consumption/operations/budgets_operations.py

zdmc23/bash-lambda-layer

e762df0189cfb894dab2d96bae1655b8857d5efb

[ "MIT" ]

null

bin/azure/mgmt/consumption/operations/budgets_operations.py

zdmc23/bash-lambda-layer

e762df0189cfb894dab2d96bae1655b8857d5efb

[ "MIT" ]

2

2021-05-23T16:46:31.000Z

2021-05-26T23:51:09.000Z

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- import uuid from msrest.pipeline import ClientRawResponse from .. import models class BudgetsOperations(object): """BudgetsOperations operations. :param client: Client for service requests. :param config: Configuration of service client. :param serializer: An object model serializer. :param deserializer: An objec model deserializer. :ivar api_version: Version of the API to be used with the client request. The current version is 2018-01-31. Constant value: "2018-01-31". """ models = models def __init__(self, client, config, serializer, deserializer): self._client = client self._serialize = serializer self._deserialize = deserializer self.api_version = "2018-01-31" self.config = config def list( self, custom_headers=None, raw=False, **operation_config): """Lists all budgets for a subscription. :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: An iterator like instance of Budget :rtype: ~azure.mgmt.consumption.models.BudgetPaged[~azure.mgmt.consumption.models.Budget] :raises: :class:`ErrorResponseException<azure.mgmt.consumption.models.ErrorResponseException>` """ def internal_paging(next_link=None, raw=False): if not next_link: # Construct URL url = '/subscriptions/{subscriptionId}/providers/Microsoft.Consumption/budgets' path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') else: url = next_link query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send( request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) return response # Deserialize response deserialized = models.BudgetPaged(internal_paging, self._deserialize.dependencies) if raw: header_dict = {} client_raw_response = models.BudgetPaged(internal_paging, self._deserialize.dependencies, header_dict) return client_raw_response return deserialized def list_by_resource_group_name( self, resource_group_name, custom_headers=None, raw=False, **operation_config): """Lists all budgets for a resource group under a subscription. :param resource_group_name: Azure Resource Group Name. :type resource_group_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: An iterator like instance of Budget :rtype: ~azure.mgmt.consumption.models.BudgetPaged[~azure.mgmt.consumption.models.Budget] :raises: :class:`ErrorResponseException<azure.mgmt.consumption.models.ErrorResponseException>` """ def internal_paging(next_link=None, raw=False): if not next_link: # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Consumption/budgets' path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') else: url = next_link query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send( request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) return response # Deserialize response deserialized = models.BudgetPaged(internal_paging, self._deserialize.dependencies) if raw: header_dict = {} client_raw_response = models.BudgetPaged(internal_paging, self._deserialize.dependencies, header_dict) return client_raw_response return deserialized def get( self, budget_name, custom_headers=None, raw=False, **operation_config): """Gets the budget for a subscription by budget name. :param budget_name: Budget Name. :type budget_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: Budget or ClientRawResponse if raw=true :rtype: ~azure.mgmt.consumption.models.Budget or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<azure.mgmt.consumption.models.ErrorResponseException>` """ # Construct URL url = '/subscriptions/{subscriptionId}/providers/Microsoft.Consumption/budgets/{budgetName}' path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'budgetName': self._serialize.url("budget_name", budget_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('Budget', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def create_or_update( self, budget_name, parameters, custom_headers=None, raw=False, **operation_config): """The operation to create or update a budget. Update operation requires latest eTag to be set in the request mandatorily. You may obtain the latest eTag by performing a get operation. Create operation does not require eTag. :param budget_name: Budget Name. :type budget_name: str :param parameters: Parameters supplied to the Create Budget operation. :type parameters: ~azure.mgmt.consumption.models.Budget :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: Budget or ClientRawResponse if raw=true :rtype: ~azure.mgmt.consumption.models.Budget or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<azure.mgmt.consumption.models.ErrorResponseException>` """ # Construct URL url = '/subscriptions/{subscriptionId}/providers/Microsoft.Consumption/budgets/{budgetName}' path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'budgetName': self._serialize.url("budget_name", budget_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(parameters, 'Budget') # Construct and send request request = self._client.put(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200, 201]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('Budget', response) if response.status_code == 201: deserialized = self._deserialize('Budget', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def delete( self, budget_name, custom_headers=None, raw=False, **operation_config): """The operation to delete a budget. :param budget_name: Budget Name. :type budget_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<azure.mgmt.consumption.models.ErrorResponseException>` """ # Construct URL url = '/subscriptions/{subscriptionId}/providers/Microsoft.Consumption/budgets/{budgetName}' path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'budgetName': self._serialize.url("budget_name", budget_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.delete(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response def get_by_resource_group_name( self, resource_group_name, budget_name, custom_headers=None, raw=False, **operation_config): """Gets the budget for a resource group under a subscription by budget name. :param resource_group_name: Azure Resource Group Name. :type resource_group_name: str :param budget_name: Budget Name. :type budget_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: Budget or ClientRawResponse if raw=true :rtype: ~azure.mgmt.consumption.models.Budget or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<azure.mgmt.consumption.models.ErrorResponseException>` """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Consumption/budgets/{budgetName}' path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'budgetName': self._serialize.url("budget_name", budget_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('Budget', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def create_or_update_by_resource_group_name( self, resource_group_name, budget_name, parameters, custom_headers=None, raw=False, **operation_config): """The operation to create or update a budget. Update operation requires latest eTag to be set in the request mandatorily. You may obtain the latest eTag by performing a get operation. Create operation does not require eTag. :param resource_group_name: Azure Resource Group Name. :type resource_group_name: str :param budget_name: Budget Name. :type budget_name: str :param parameters: Parameters supplied to the Create Budget operation. :type parameters: ~azure.mgmt.consumption.models.Budget :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: Budget or ClientRawResponse if raw=true :rtype: ~azure.mgmt.consumption.models.Budget or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<azure.mgmt.consumption.models.ErrorResponseException>` """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Consumption/budgets/{budgetName}' path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'budgetName': self._serialize.url("budget_name", budget_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(parameters, 'Budget') # Construct and send request request = self._client.put(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200, 201]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('Budget', response) if response.status_code == 201: deserialized = self._deserialize('Budget', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def delete_by_resource_group_name( self, resource_group_name, budget_name, custom_headers=None, raw=False, **operation_config): """The operation to delete a budget. :param resource_group_name: Azure Resource Group Name. :type resource_group_name: str :param budget_name: Budget Name. :type budget_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<azure.mgmt.consumption.models.ErrorResponseException>` """ # Construct URL url = '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Consumption/budgets/{budgetName}' path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'budgetName': self._serialize.url("budget_name", budget_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.delete(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response

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dbb23e98f444eb6cd087338954da3a7b89bcb02c

5,032

py

Python

tests/reader/test_singlepagetiff.py

mehta-lab/waveorder

9892c20955d3487778fd440a0d7f4f86334e7b8e

[ "Unlicense" ]

2

2020-12-19T02:55:09.000Z

2022-02-24T19:40:26.000Z

tests/reader/test_singlepagetiff.py

mehta-lab/waveorder

9892c20955d3487778fd440a0d7f4f86334e7b8e

[ "Unlicense" ]

42

2021-01-20T22:34:14.000Z

2022-03-31T00:13:37.000Z

tests/reader/test_singlepagetiff.py

mehta-lab/waveorder

9892c20955d3487778fd440a0d7f4f86334e7b8e

[ "Unlicense" ]

null

import zarr import numpy as np from waveorder.io.singlepagetiff import MicromanagerSequenceReader def test_constructor_mm2gamma(setup_mm2gamma_singlepage_tiffs): """ test that constructor parses metadata properly no data extraction in this test """ # choose a specific folder _, one_folder, _ = setup_mm2gamma_singlepage_tiffs mmr = MicromanagerSequenceReader(one_folder, extract_data=False) assert(mmr.mm_meta is not None) assert(mmr.width is not 0) assert(mmr.height is not 0) assert(mmr.frames is not 0) assert(mmr.slices is not 0) assert(mmr.channels is not 0) def test_output_dims_mm2gamma(setup_mm2gamma_singlepage_tiffs): """ test that output dimensions are always (t, c, z, y, x) """ # choose a random folder _, _, rand_folder = setup_mm2gamma_singlepage_tiffs mmr = MicromanagerSequenceReader(rand_folder, extract_data=False) assert(mmr.get_zarr(0).shape[0] == mmr.frames) assert(mmr.get_zarr(0).shape[1] == mmr.channels) assert(mmr.get_zarr(0).shape[2] == mmr.slices) assert(mmr.get_zarr(0).shape[3] == mmr.height) assert(mmr.get_zarr(0).shape[4] == mmr.width) def test_output_dims_mm2gamma_incomplete(setup_mm2gamma_singlepage_tiffs_incomplete): """ test that output dimensions are correct for interrupted data """ # choose a random folder folder = setup_mm2gamma_singlepage_tiffs_incomplete mmr = MicromanagerSequenceReader(folder, extract_data=True) assert(mmr.get_zarr(0).shape[0] == mmr.frames) assert(mmr.get_zarr(0).shape[1] == mmr.channels) assert(mmr.get_zarr(0).shape[2] == mmr.slices) assert(mmr.get_zarr(0).shape[3] == mmr.height) assert(mmr.get_zarr(0).shape[4] == mmr.width) assert(mmr.get_zarr(0).shape[0] == 11) def test_get_zarr_mm2gamma(setup_mm2gamma_singlepage_tiffs): _, _, rand_folder = setup_mm2gamma_singlepage_tiffs mmr = MicromanagerSequenceReader(rand_folder, extract_data=True) for i in range(mmr.get_num_positions()): z = mmr.get_zarr(i) assert(z.shape == mmr.shape) assert(isinstance(z, zarr.core.Array)) def test_get_array_mm2gamma(setup_mm2gamma_singlepage_tiffs): _, _, rand_folder = setup_mm2gamma_singlepage_tiffs mmr = MicromanagerSequenceReader(rand_folder, extract_data=True) for i in range(mmr.get_num_positions()): z = mmr.get_array(i) assert(z.shape == mmr.shape) assert(isinstance(z, np.ndarray)) def test_get_num_positions_mm2gamma(setup_mm2gamma_singlepage_tiffs): _, _, rand_folder = setup_mm2gamma_singlepage_tiffs mmr = MicromanagerSequenceReader(rand_folder, extract_data=True) assert(mmr.get_num_positions() >= 1) # repeat of above but using mm1.4.22 data def test_constructor_mm1422(setup_mm1422_singlepage_tiffs): """ test that constructor parses metadata properly no data extraction in this test """ # choose a specific folder _, one_folder, _ = setup_mm1422_singlepage_tiffs mmr = MicromanagerSequenceReader(one_folder, extract_data=False) assert(mmr.mm_meta is not None) assert(mmr.width is not 0) assert(mmr.height is not 0) assert(mmr.frames is not 0) assert(mmr.slices is not 0) assert(mmr.channels is not 0) def test_output_dims_mm1422(setup_mm1422_singlepage_tiffs): """ test that output dimensions are always (t, c, z, y, x) """ # choose a random folder _, _, rand_folder = setup_mm1422_singlepage_tiffs mmr = MicromanagerSequenceReader(rand_folder, extract_data=False) assert(mmr.get_zarr(0).shape[0] == mmr.frames) assert(mmr.get_zarr(0).shape[1] == mmr.channels) assert(mmr.get_zarr(0).shape[2] == mmr.slices) assert(mmr.get_zarr(0).shape[3] == mmr.height) assert(mmr.get_zarr(0).shape[4] == mmr.width) def test_get_zarr_mm1422(setup_mm1422_singlepage_tiffs): _, _, rand_folder = setup_mm1422_singlepage_tiffs mmr = MicromanagerSequenceReader(rand_folder, extract_data=True) for i in range(mmr.get_num_positions()): z = mmr.get_zarr(i) assert(z.shape == mmr.shape) assert(isinstance(z, zarr.core.Array)) def test_get_array_mm1422(setup_mm1422_singlepage_tiffs): _, _, rand_folder = setup_mm1422_singlepage_tiffs mmr = MicromanagerSequenceReader(rand_folder, extract_data=True) for i in range(mmr.get_num_positions()): z = mmr.get_array(i) assert(z.shape == mmr.shape) assert(isinstance(z, np.ndarray)) def test_get_num_positions_mm1422(setup_mm1422_singlepage_tiffs): _, _, rand_folder = setup_mm1422_singlepage_tiffs mmr = MicromanagerSequenceReader(rand_folder, extract_data=True) assert(mmr.get_num_positions() >= 1) # uncertain whether the bottom tests are useful # def test_read_tiff_series_mm2gamma(setup_mm2gamma_singlepage_tiffs): # pass # # # def test_extract_coord_mm2gamma(setup_mm2gamma_singlepage_tiffs): # pass # # # def test_shape_mm2gamma(setup_mm2gamma_singlepage_tiffs): # pass

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1

0

null

0

1

0

8

dbd40c322be9883515ef1d83b73b0cb241e052bc

29,434

py

Python

tests/unit/test_fp16.py

ConnollyLeon/DeepSpeed

2d84d1c185ef0345eaf43a7240d61b33eda43497

[ "MIT" ]

58

2021-01-24T08:57:03.000Z

2022-03-31T07:47:13.000Z

tests/unit/test_fp16.py

ConnollyLeon/DeepSpeed

2d84d1c185ef0345eaf43a7240d61b33eda43497

[ "MIT" ]

1

2022-03-10T06:52:13.000Z

tests/unit/test_fp16.py

ConnollyLeon/DeepSpeed

2d84d1c185ef0345eaf43a7240d61b33eda43497

[ "MIT" ]

14

2021-01-25T03:48:44.000Z

2022-03-18T12:58:14.000Z

import torch import deepspeed import argparse import pytest import json import os from deepspeed.ops.adam import FusedAdam from common import distributed_test from simple_model import SimpleModel, SimpleOptimizer, random_dataloader, args_from_dict, create_deepspeed_args from deepspeed.ops.op_builder import CPUAdamBuilder try: from apex import amp _amp_available = True except ImportError: _amp_available = False amp_available = pytest.mark.skip(_amp_available, reason="apex/amp is not installed") def test_lamb_fp32_grad_clip(tmpdir): config_dict = { "train_batch_size": 2, "steps_per_print": 1, "optimizer": { "type": "Lamb", "params": { "lr": 0.00015 } }, "gradient_clipping": 1.0 } args = args_from_dict(tmpdir, config_dict) hidden_dim = 10 model = SimpleModel(hidden_dim) @distributed_test(world_size=[1, 2]) def _test_lamb_fp32_grad_clip(args, model, hidden_dim): model, _, _, _ = deepspeed.initialize(args=args, model=model, model_parameters=model.parameters()) data_loader = random_dataloader(model=model, total_samples=50, hidden_dim=hidden_dim, device=model.device, dtype=torch.float) for n, batch in enumerate(data_loader): loss = model(batch[0], batch[1]) model.backward(loss) model.step() _test_lamb_fp32_grad_clip(args=args, model=model, hidden_dim=hidden_dim) def test_lamb_fp16_basic(tmpdir): config_dict = { "train_batch_size": 2, "steps_per_print": 1, "optimizer": { "type": "Lamb", "params": { "lr": 0.00015 } }, "gradient_clipping": 1.0, "fp16": { "enabled": True } } args = args_from_dict(tmpdir, config_dict) hidden_dim = 10 model = SimpleModel(hidden_dim) @distributed_test(world_size=[1, 2]) def _test_lamb_fp16_basic(args, model, hidden_dim): model, _, _, _ = deepspeed.initialize(args=args, model=model, model_parameters=model.parameters()) data_loader = random_dataloader(model=model, total_samples=50, hidden_dim=hidden_dim, device=model.device) for n, batch in enumerate(data_loader): loss = model(batch[0], batch[1]) model.backward(loss) model.step() _test_lamb_fp16_basic(args=args, model=model, hidden_dim=hidden_dim) def test_lamb_fp16_empty_grad(tmpdir): config_dict = { "train_batch_size": 2, "steps_per_print": 1, "optimizer": { "type": "Lamb", "params": { "lr": 0.00015 } }, "gradient_clipping": 1.0, "fp16": { "enabled": True } } args = args_from_dict(tmpdir, config_dict) hidden_dim = 10 model = SimpleModel(hidden_dim, empty_grad=True) @distributed_test(world_size=[2]) def _test_lamb_fp16_empty_grad(args, model, hidden_dim): model, _, _, _ = deepspeed.initialize(args=args, model=model, model_parameters=model.parameters()) data_loader = random_dataloader(model=model, total_samples=50, hidden_dim=hidden_dim, device=model.device) for n, batch in enumerate(data_loader): loss = model(batch[0], batch[1]) model.backward(loss) model.step() _test_lamb_fp16_empty_grad(args=args, model=model, hidden_dim=hidden_dim) def test_adam_fp32_empty_grad(tmpdir): config_dict = { "train_batch_size": 2, "steps_per_print": 1, "optimizer": { "type": "Adam", "params": { "lr": 0.00015 } }, "gradient_clipping": 1.0, "fp16": { "enabled": False } } args = args_from_dict(tmpdir, config_dict) hidden_dim = 10 model = SimpleModel(hidden_dim, empty_grad=True) @distributed_test(world_size=[2]) def _test_adam_fp32_empty_grad(args, model, hidden_dim): model, _, _, _ = deepspeed.initialize(args=args, model=model, model_parameters=model.parameters()) data_loader = random_dataloader(model=model, total_samples=50, hidden_dim=hidden_dim, device=model.device, dtype=torch.float) for n, batch in enumerate(data_loader): loss = model(batch[0], batch[1]) model.backward(loss) model.step() _test_adam_fp32_empty_grad(args=args, model=model, hidden_dim=hidden_dim) def test_adamw_fp16_basic(tmpdir): config_dict = { "train_batch_size": 1, "steps_per_print": 1, "fp16": { "enabled": True } } args = args_from_dict(tmpdir, config_dict) hidden_dim = 10 model = SimpleModel(hidden_dim) @distributed_test(world_size=[1]) def _test_adamw_fp16_basic(args, model, hidden_dim): optimizer = torch.optim.AdamW(params=model.parameters()) model, _, _, _ = deepspeed.initialize(args=args, model=model, optimizer=optimizer) data_loader = random_dataloader(model=model, total_samples=50, hidden_dim=hidden_dim, device=model.device) for n, batch in enumerate(data_loader): loss = model(batch[0], batch[1]) model.backward(loss) model.step() _test_adamw_fp16_basic(args=args, model=model, hidden_dim=hidden_dim) def test_dict_config_adamw_fp16_basic(): config_dict = { "train_batch_size": 1, "steps_per_print": 1, "fp16": { "enabled": True } } args = create_deepspeed_args() hidden_dim = 10 model = SimpleModel(hidden_dim) @distributed_test(world_size=[1]) def _test_adamw_fp16_basic(args, model, hidden_dim, config_dict): optimizer = torch.optim.AdamW(params=model.parameters()) model, _, _, _ = deepspeed.initialize(args=args, model=model, optimizer=optimizer, config_params=config_dict) data_loader = random_dataloader(model=model, total_samples=50, hidden_dim=hidden_dim, device=model.device) for n, batch in enumerate(data_loader): loss = model(batch[0], batch[1]) model.backward(loss) model.step() _test_adamw_fp16_basic(args=args, model=model, hidden_dim=hidden_dim, config_dict=config_dict) def test_adamw_fp16_empty_grad(tmpdir): config_dict = { "train_batch_size": 1, "steps_per_print": 1, "fp16": { "enabled": True } } args = args_from_dict(tmpdir, config_dict) hidden_dim = 10 model = SimpleModel(hidden_dim, empty_grad=True) @distributed_test(world_size=[1]) def _test_adamw_fp16_empty_grad(args, model, hidden_dim): optimizer = torch.optim.AdamW(params=model.parameters()) model, _, _, _ = deepspeed.initialize(args=args, model=model, optimizer=optimizer) data_loader = random_dataloader(model=model, total_samples=50, hidden_dim=hidden_dim, device=model.device) for n, batch in enumerate(data_loader): loss = model(batch[0], batch[1]) model.backward(loss) model.step() _test_adamw_fp16_empty_grad(args=args, model=model, hidden_dim=hidden_dim) @pytest.mark.parametrize('zero_stage, use_cpu_offload', [(1, False), (2, False), (2, True), (3, False), (3, True)]) def test_adam_fp16_zero_onecycle_compatibility(tmpdir, zero_stage, use_cpu_offload): if use_cpu_offload and not deepspeed.ops.__compatible_ops__[CPUAdamBuilder.NAME]: pytest.skip("cpu-adam is not compatible") config_dict = { "train_batch_size": 1, "steps_per_print": 1, "optimizer": { "type": "Adam", "params": { "lr": 0.00015 } }, "scheduler": { "type": "OneCycle", "params": { "cycle_first_step_size": 16000, "cycle_first_stair_count": 8000, "decay_step_size": 16000, "cycle_min_lr": 1e-06, "cycle_max_lr": 3e-05, "decay_lr_rate": 1e-07, "cycle_min_mom": 0.85, "cycle_max_mom": 0.99, "decay_mom_rate": 0.0 } }, "fp16": { "enabled": True }, "zero_optimization": { "stage": zero_stage, "cpu_offload": use_cpu_offload } } args = args_from_dict(tmpdir, config_dict) hidden_dim = 10 @distributed_test(world_size=[1]) def _test_adam_fp16_zero_onecycle_compatibility(args, zero_stage, hidden_dim): model = SimpleModel(hidden_dim) model, _, _,_ = deepspeed.initialize(args=args, model=model, model_parameters=model.parameters()) data_loader = random_dataloader(model=model, total_samples=50, hidden_dim=hidden_dim, device=model.device) for n, batch in enumerate(data_loader): loss = model(batch[0], batch[1]) model.backward(loss) model.step() _test_adam_fp16_zero_onecycle_compatibility(args=args, zero_stage=zero_stage, hidden_dim=hidden_dim) @pytest.mark.parametrize('zero_stage, use_cpu_offload', [(1, False), (2, False), (2, True), (3, False), (3, True)]) def test_zero_static_scale(tmpdir, zero_stage, use_cpu_offload): if use_cpu_offload and not deepspeed.ops.__compatible_ops__[CPUAdamBuilder.NAME]: pytest.skip("cpu-adam is not compatible") config_dict = { "train_batch_size": 4, "steps_per_print": 1, "optimizer": { "type": "Adam", "params": { "lr": 0.00015 } }, "fp16": { "enabled": True, "loss_scale": 138. }, "zero_optimization": { "stage": zero_stage, "cpu_offload": use_cpu_offload } } args = args_from_dict(tmpdir, config_dict) @distributed_test(world_size=2) def _test_zero_static_scale(args, zero_stage, hidden_dim): #making hidden size not divisible by DP for covering this scenario hidden_dim = hidden_dim model = SimpleModel(hidden_dim) model, optim, _, _ = deepspeed.initialize(args=args, model=model, model_parameters=model.parameters()) # Ensure the static scaler is configured. assert optim.dynamic_loss_scale == False assert optim.loss_scaler.loss_scale == 138. # Now make sure things work.. data_loader = random_dataloader(model=model, total_samples=10, hidden_dim=hidden_dim, device=model.device) for n, batch in enumerate(data_loader): loss = model(batch[0], batch[1]) model.backward(loss) model.step() #test when hidden_dim is not aligned with world size _test_zero_static_scale(args=args, zero_stage=zero_stage, hidden_dim=9) #test when hidden_dim is aligned with world size _test_zero_static_scale(args=args, zero_stage=zero_stage, hidden_dim=10) def test_zero_static_scale_deprecated_format(tmpdir): config_dict = { "train_batch_size": 4, "steps_per_print": 1, "optimizer": { "type": "Adam", "params": { "lr": 0.00015 } }, "fp16": { "enabled": True, "loss_scale": 138. }, "zero_optimization": { "stage": 1 } } args = args_from_dict(tmpdir, config_dict) @distributed_test(world_size=2) def _test_zero_static_scale(args): hidden_dim = 10 model = SimpleModel(hidden_dim) model, optim, _, _ = deepspeed.initialize(args=args, model=model, model_parameters=model.parameters()) # Ensure the static scaler is configured. assert optim.dynamic_loss_scale == False assert optim.loss_scaler.loss_scale == 138. # Now make sure things work.. data_loader = random_dataloader(model=model, total_samples=10, hidden_dim=hidden_dim, device=model.device) for n, batch in enumerate(data_loader): loss = model(batch[0], batch[1]) model.backward(loss) model.step() _test_zero_static_scale(args) @pytest.mark.parametrize('zero_stage, use_cpu_offload', [(1, False), (2, False), (2, True), (3, False), (3, True)]) def test_zero_allow_untested_optimizer(tmpdir, zero_stage, use_cpu_offload): if use_cpu_offload and not deepspeed.ops.__compatible_ops__[CPUAdamBuilder.NAME]: pytest.skip("cpu-adam is not compatible") config_dict = { "train_batch_size": 4, "steps_per_print": 1, "fp16": { "enabled": True, }, "zero_optimization": { "stage": zero_stage, "cpu_offload": use_cpu_offload }, "zero_allow_untested_optimizer": False } args = args_from_dict(tmpdir, config_dict) @distributed_test(world_size=[1]) def _test_zero_allow_untested_optimizer(args, zero_stage): hidden_dim = 10 model = SimpleModel(hidden_dim) optimizer = SimpleOptimizer(model.parameters()) with pytest.raises(AssertionError): model, optim, _, _ = deepspeed.initialize(args=args, model=model, optimizer=optimizer, model_parameters=model.parameters()) _test_zero_allow_untested_optimizer(args, zero_stage) @pytest.mark.parametrize('zero_stage, use_cpu_offload', [(1, False), (2, False), (2, True), (3, False), (3, True)]) def test_zero_empty_partition(tmpdir, zero_stage, use_cpu_offload): if use_cpu_offload and not deepspeed.ops.__compatible_ops__[CPUAdamBuilder.NAME]: pytest.skip("cpu-adam is not compatible") if zero_stage == 3: pytest.skip("skip for now") config_dict = { "train_micro_batch_size_per_gpu": 1, "gradient_accumulation_steps": 1, "fp16": { "enabled": True, "initial_scale_power": 8 }, "optimizer": { "type": "Adam", "params": { "lr": 0.00015 } }, "zero_optimization": { "stage": zero_stage, "cpu_offload": use_cpu_offload, "reduce_bucket_size": 100, "allgather_bucket_size": 100 } } args = args_from_dict(tmpdir, config_dict) @distributed_test(world_size=[3]) def _test_zero_empty_partition(args, zero_stage): hidden_dim = 1 model = SimpleModel(hidden_dim) # Ensure model has 2 parameters, to cause empty partition with DP=3 assert len(list(model.parameters())) == 2 model, _, _, _ = deepspeed.initialize(args=args, model=model, model_parameters=model.parameters()) # Now make sure things work.. data_loader = random_dataloader(model=model, total_samples=1, hidden_dim=hidden_dim, device=model.device) for n, batch in enumerate(data_loader): loss = model(batch[0], batch[1]) model.backward(loss) model.step() _test_zero_empty_partition(args=args, zero_stage=zero_stage) @amp_available def test_adam_amp_basic(tmpdir): config_dict = {"train_batch_size": 1, "steps_per_print": 1, "amp": {"enabled": True}} args = args_from_dict(tmpdir, config_dict) hidden_dim = 10 model = SimpleModel(hidden_dim) @distributed_test(world_size=[1]) def _test_adam_amp_basic(args, model, hidden_dim): optimizer = torch.optim.Adam(params=model.parameters()) model, _, _, _ = deepspeed.initialize(args=args, model=model, optimizer=optimizer) data_loader = random_dataloader(model=model, total_samples=50, hidden_dim=hidden_dim, device=model.device) for n, batch in enumerate(data_loader): loss = model(batch[0], batch[1]) model.backward(loss) model.step() _test_adam_amp_basic(args=args, model=model, hidden_dim=hidden_dim) @amp_available def test_lamb_amp_basic(tmpdir): config_dict = { "train_batch_size": 2, "steps_per_print": 1, "optimizer": { "type": "Lamb", "params": { "lr": 0.00015 } }, "gradient_clipping": 1.0, "amp": { "enabled": True, } } args = args_from_dict(tmpdir, config_dict) hidden_dim = 10 model = SimpleModel(hidden_dim) @distributed_test(world_size=[1, 2]) def _test_lamb_amp_basic(args, model, hidden_dim): model, _, _, _ = deepspeed.initialize(args=args, model=model, model_parameters=model.parameters()) data_loader = random_dataloader(model=model, total_samples=50, hidden_dim=hidden_dim, device=model.device) for n, batch in enumerate(data_loader): loss = model(batch[0], batch[1]) model.backward(loss) model.step() _test_lamb_amp_basic(args=args, model=model, hidden_dim=hidden_dim) @amp_available def test_adam_amp_o2(tmpdir): config_dict = { "train_batch_size": 2, "steps_per_print": 1, "optimizer": { "type": "Adam", "params": { "lr": 0.00015 } }, "gradient_clipping": 1.0, "amp": { "enabled": True, "opt_level": "O2" } } args = args_from_dict(tmpdir, config_dict) hidden_dim = 10 model = SimpleModel(hidden_dim) @distributed_test(world_size=[1, 2]) def _test_adam_amp_o2(args, model, hidden_dim): model, _, _, _ = deepspeed.initialize(args=args, model=model, model_parameters=model.parameters()) data_loader = random_dataloader(model=model, total_samples=50, hidden_dim=hidden_dim, device=model.device) for n, batch in enumerate(data_loader): loss = model(batch[0], batch[1]) model.backward(loss) model.step() _test_adam_amp_o2(args=args, model=model, hidden_dim=hidden_dim) @amp_available def test_adam_amp_o2_empty_grad(tmpdir): config_dict = { "train_batch_size": 2, "steps_per_print": 1, "optimizer": { "type": "Adam", "params": { "lr": 0.00015 } }, "gradient_clipping": 1.0, "amp": { "enabled": True, "opt_level": "O2" } } args = args_from_dict(tmpdir, config_dict) hidden_dim = 10 model = SimpleModel(hidden_dim) @distributed_test(world_size=[2]) def _test_adam_amp_o2_empty_grad(args, model, hidden_dim): model, _, _, _ = deepspeed.initialize(args=args, model=model, model_parameters=model.parameters()) data_loader = random_dataloader(model=model, total_samples=50, hidden_dim=hidden_dim, device=model.device) for n, batch in enumerate(data_loader): loss = model(batch[0], batch[1]) model.backward(loss) model.step() _test_adam_amp_o2_empty_grad(args=args, model=model, hidden_dim=hidden_dim) @pytest.mark.parametrize('zero_stage, optimizer_constructor', [(1, FusedAdam), (2, torch.optim.Adam), (2, FusedAdam), (3, torch.optim.Adam), (3, FusedAdam)]) def test_zero_supported_client_optimizer(tmpdir, zero_stage, optimizer_constructor): config_dict = { "train_batch_size": 2, "steps_per_print": 1, "fp16": { "enabled": True }, "zero_optimization": { "stage": zero_stage } } args = args_from_dict(tmpdir, config_dict) hidden_dim = 10 @distributed_test(world_size=[1]) def _test_zero_supported_client_optimizer(args, zero_stage, optimizer_constructor): model = SimpleModel(hidden_dim) client_optimizer = optimizer_constructor(params=model.parameters()) model, _, _, _ = deepspeed.initialize(args=args, model=model, optimizer=client_optimizer) _test_zero_supported_client_optimizer(args=args, zero_stage=zero_stage, optimizer_constructor=optimizer_constructor) def test_zero2_reduce_scatter_off(tmpdir): config_dict = { "train_batch_size": 2, "steps_per_print": 1, "optimizer": { "type": "Adam", "params": { "lr": 0.00015 } }, "gradient_clipping": 1.0, "zero_optimization": { "stage": 2, "contiguous_gradients": True, "allgather_bucket_size": 2000000000, "reduce_bucket_size": 200000000, "overlap_comm": False, "reduce_scatter": False }, "fp16": { "enabled": True } } args = args_from_dict(tmpdir, config_dict) hidden_dim = 10 model = SimpleModel(hidden_dim) @distributed_test(world_size=[2]) def _helper(args, model, hidden_dim): model, _, _, _ = deepspeed.initialize(args=args, model=model, model_parameters=model.parameters()) data_loader = random_dataloader(model=model, total_samples=50, hidden_dim=hidden_dim, device=model.device) for n, batch in enumerate(data_loader): loss = model(batch[0], batch[1]) model.backward(loss) model.step() _helper(args=args, model=model, hidden_dim=hidden_dim) @pytest.mark.parametrize('adam_type, torch_impl', [('Adam', True), ('Adam', False), ('AdamW', True), ('AdamW', False)]) def test_fp16_adam_types(tmpdir, adam_type, torch_impl): config_dict = { "train_batch_size": 1, "steps_per_print": 1, "fp16": { "enabled": True, "initial_scale_power": 10 }, "optimizer": { "type": adam_type, "torch_adam": torch_impl, "params": { "lr": 0.00015 } } } args = args_from_dict(tmpdir, config_dict) hidden_dim = 10 model = SimpleModel(hidden_dim) @distributed_test(world_size=[1]) def _test_fp16_adam_types(args, model, hidden_dim): model, _, _, _ = deepspeed.initialize(args=args, model=model, model_parameters=model.parameters()) data_loader = random_dataloader(model=model, total_samples=10, hidden_dim=hidden_dim, device=model.device) for _, batch in enumerate(data_loader): loss = model(batch[0], batch[1]) model.backward(loss) model.step() _test_fp16_adam_types(args=args, model=model, hidden_dim=hidden_dim) def test_zero3_lazyscatter(tmpdir): config_dict = { "train_batch_size": 1, "steps_per_print": 1, "fp16": { "enabled": True, "initial_scale_power": 10 }, "optimizer": { "type": "AdamW", "params": { "lr": 0.00015 } }, "zero_optimization": { "stage": 3 } } args = args_from_dict(tmpdir, config_dict) hidden_dim = 10 @distributed_test(world_size=[1]) def _go(args): model = SimpleModel(hidden_dim) model, _, _, _ = deepspeed.initialize(args=args, model=model, model_parameters=model.parameters()) data_loader = random_dataloader(model=model, total_samples=10, hidden_dim=hidden_dim, device=model.device) for _, batch in enumerate(data_loader): loss = model(batch[0], batch[1]) model.backward(loss) model.step() _go(args=args)

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9155e2a80cbf5a8dfaaf28cf7174740785416a56

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Python

dist/asmbattle.app/Contents/Resources/__main__.py

dequeb/asmbattle

27e8b209de5787836e288a2f2f9b7644ce07563e

[ "MIT" ]

null

dist/asmbattle.app/Contents/Resources/__main__.py

dequeb/asmbattle

27e8b209de5787836e288a2f2f9b7644ce07563e

[ "MIT" ]

null

dist/asmbattle.app/Contents/Resources/__main__.py

dequeb/asmbattle

27e8b209de5787836e288a2f2f9b7644ce07563e

[ "MIT" ]

null

from asmbattle import ui_controller def main(): ui_controller.main() ui_controller.main()

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Python

tests/unit/modules/test_memcached.py

byteskeptical/salt

637fe0b04f38b2274191b005d73b3c6707d7f400

[ "Apache-2.0" ]

5

2018-05-01T20:51:14.000Z

2021-11-09T05:43:00.000Z

tests/unit/modules/test_memcached.py

byteskeptical/salt

637fe0b04f38b2274191b005d73b3c6707d7f400

[ "Apache-2.0" ]

86

2017-01-27T11:54:46.000Z

2020-05-20T06:25:26.000Z

tests/unit/modules/test_memcached.py

byteskeptical/salt

637fe0b04f38b2274191b005d73b3c6707d7f400

[ "Apache-2.0" ]

11

2017-01-26T19:36:29.000Z

2021-12-11T07:54:16.000Z

# -*- coding: utf-8 -*- ''' :codeauthor: Jayesh Kariya <jayeshk@saltstack.com> ''' # Import Python Libs from __future__ import absolute_import, print_function, unicode_literals # Import Salt Testing Libs from tests.support.unit import TestCase, skipIf from tests.support.mock import ( MagicMock, patch, NO_MOCK, NO_MOCK_REASON ) # Import Salt Libs import salt.modules.memcached as memcached from salt.exceptions import CommandExecutionError, SaltInvocationError from salt.ext.six import integer_types @skipIf(NO_MOCK, NO_MOCK_REASON) class MemcachedTestCase(TestCase): ''' Test cases for salt.modules.memcached ''' # 'status' function tests: 2 def test_status(self): ''' Test if it gets memcached status ''' class MockMemcache(object): """ Mock of memcache """ @staticmethod def get_stats(): """ Mock of stats method """ return [('127.0.0.1:11211 (1)', {})] with patch.object(memcached, '_connect', MagicMock(return_value=MockMemcache())): self.assertDictEqual(memcached.status(), {'127.0.0.1:11211 (1)': {}}) def test_status_false(self): ''' Test if it gets memcached status ''' class MockMemcache(object): """ Mock of memcache """ @staticmethod def get_stats(): """ Mock of stats method """ return [] with patch.object(memcached, '_connect', MagicMock(return_value=MockMemcache())): self.assertFalse(memcached.status()) # 'get' function tests: 1 def test_get(self): ''' Test if it retrieve value for a key ''' class MockMemcache(object): """ Mock of memcache """ @staticmethod def get_stats(): """ Mock of stats method """ return [('127.0.0.1:11211 (1)', {})] @staticmethod def get(key): """ Mock of get method """ return key with patch.object(memcached, '_connect', MagicMock(return_value=MockMemcache())): self.assertEqual(memcached.get('salt'), 'salt') # 'set_' function tests: 1 def test_set(self): ''' Test if it set a key on the memcached server ''' class MockMemcache(object): """ Mock of memcache """ def __init__(self): self.key = None self.value = None self.time = None self.min_compress_len = None @staticmethod def get_stats(): """ Mock of stats method """ return [('127.0.0.1:11211 (1)', {})] def set(self, key, value, time, min_compress_len): """ Mock of set method """ self.key = key self.value = value self.time = time self.min_compress_len = min_compress_len return True with patch.object(memcached, '_connect', MagicMock(return_value=MockMemcache())): self.assertTrue(memcached.set_('salt', '1111')) self.assertRaises(SaltInvocationError, memcached.set_, 'salt', '1111', time='0.1') self.assertRaises(SaltInvocationError, memcached.set_, 'salt', '1111', min_compress_len='0.1') # 'delete' function tests: 1 def test_delete(self): ''' Test if it delete a key from memcache server ''' class MockMemcache(object): """ Mock of memcache """ def __init__(self): self.key = None self.time = None @staticmethod def get_stats(): """ Mock of stats method """ return [('127.0.0.1:11211 (1)', {})] def delete(self, key, time): """ Mock of delete method """ self.key = key self.time = time return True with patch.object(memcached, '_connect', MagicMock(return_value=MockMemcache())): self.assertTrue(memcached.delete('salt')) self.assertRaises(SaltInvocationError, memcached.delete, 'salt', '1111', time='0.1') # 'add' function tests: 1 def test_add(self): ''' Test if it add a key from memcache server ''' class MockMemcache(object): """ Mock of memcache """ def __init__(self): self.key = None self.value = None self.time = None self.min_compress_len = None @staticmethod def get_stats(): """ Mock of stats method """ return [('127.0.0.1:11211 (1)', {})] def add(self, key, value, time, min_compress_len): """ Mock of add method """ self.key = key self.value = value self.time = time self.min_compress_len = min_compress_len return True with patch.object(memcached, '_connect', MagicMock(return_value=MockMemcache())): self.assertTrue(memcached.add('salt', '1111')) self.assertRaises(SaltInvocationError, memcached.add, 'salt', '1111', time='0.1') self.assertRaises(SaltInvocationError, memcached.add, 'salt', '1111', min_compress_len='0.1') # 'replace' function tests: 1 def test_replace(self): ''' Test if it replace a key from memcache server ''' class MockMemcache(object): """ Mock of memcache """ def __init__(self): self.key = None self.value = None self.time = None self.min_compress_len = None @staticmethod def get_stats(): """ Mock of stats method """ return [('127.0.0.1:11211 (1)', {})] def replace(self, key, value, time, min_compress_len): """ Mock of replace method """ self.key = key self.value = value self.time = time self.min_compress_len = min_compress_len return True with patch.object(memcached, '_connect', MagicMock(return_value=MockMemcache())): self.assertTrue(memcached.replace('salt', '1111')) self.assertRaises(SaltInvocationError, memcached.replace, 'salt', '1111', time='0.1') self.assertRaises(SaltInvocationError, memcached.replace, 'salt', '1111', min_compress_len='0.1') # 'increment' function tests: 3 def test_increment(self): ''' Test if it increment the value of a key ''' class MockMemcache(object): """ Mock of memcache """ def __init__(self): self.key = None @staticmethod def get_stats(): """ Mock of stats method """ return [('127.0.0.1:11211 (1)', {})] def get(self, key): """ Mock of get method """ self.key = key return 1 def incr(self, key, delta): """ Mock of incr method """ self.key = key if not isinstance(delta, integer_types): raise SaltInvocationError('Delta value must be an integer') return key with patch.object(memcached, '_connect', MagicMock(return_value=MockMemcache())): self.assertEqual(memcached.increment('salt'), 'salt') self.assertRaises(SaltInvocationError, memcached.increment, 'salt', delta='sa') def test_increment_exist(self): ''' Test if it increment the value of a key ''' class MockMemcache(object): """ Mock of memcache """ def __init__(self): self.key = None @staticmethod def get_stats(): """ Mock of stats method """ return [('127.0.0.1:11211 (1)', {})] def get(self, key): """ Mock of get method """ self.key = key return key with patch.object(memcached, '_connect', MagicMock(return_value=MockMemcache())): self.assertRaises(CommandExecutionError, memcached.increment, 'salt') def test_increment_none(self): ''' Test if it increment the value of a key ''' class MockMemcache(object): """ Mock of memcache """ def __init__(self): self.key = None @staticmethod def get_stats(): """ Mock of stats method """ return [('127.0.0.1:11211 (1)', {})] def get(self, key): """ Mock of get method """ self.key = key return None with patch.object(memcached, '_connect', MagicMock(return_value=MockMemcache())): self.assertRaises(CommandExecutionError, memcached.increment, 'salt') # 'decrement' function tests: 3 def test_decrement(self): ''' Test if it decrement the value of a key ''' class MockMemcache(object): """ Mock of memcache """ def __init__(self): self.key = None @staticmethod def get_stats(): """ Mock of stats method """ return [('127.0.0.1:11211 (1)', {})] def get(self, key): """ Mock of get method """ self.key = key return 1 def decr(self, key, delta): """ Mock of decr method """ self.key = key if not isinstance(delta, integer_types): raise SaltInvocationError('Delta value must be an integer') return key with patch.object(memcached, '_connect', MagicMock(return_value=MockMemcache())): self.assertEqual(memcached.decrement('salt'), 'salt') self.assertRaises(SaltInvocationError, memcached.decrement, 'salt', delta='sa') def test_decrement_exist(self): ''' Test if it decrement the value of a key ''' class MockMemcache(object): """ Mock of memcache """ def __init__(self): self.key = None @staticmethod def get_stats(): """ Mock of stats method """ return [('127.0.0.1:11211 (1)', {})] def get(self, key): """ Mock of get method """ self.key = key return key with patch.object(memcached, '_connect', MagicMock(return_value=MockMemcache())): self.assertRaises(CommandExecutionError, memcached.decrement, 'salt') def test_decrement_none(self): ''' Test if it decrement the value of a key ''' class MockMemcache(object): """ Mock of memcache """ def __init__(self): self.key = None @staticmethod def get_stats(): """ Mock of stats method """ return [('127.0.0.1:11211 (1)', {})] def get(self, key): """ Mock of get method """ self.key = key return None with patch.object(memcached, '_connect', MagicMock(return_value=MockMemcache())): self.assertRaises(CommandExecutionError, memcached.decrement, 'salt')

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8

915e6d10a760be0a93a97bbafc6c9dd369fdf24c

27,837

py

Python

ibutsu_client/api/artifact_api.py

rsnyman/ibutsu-client-python

451bae383a8bd1a35c3cf917749614cfcbd94283

[ "MIT" ]

null

ibutsu_client/api/artifact_api.py

rsnyman/ibutsu-client-python

451bae383a8bd1a35c3cf917749614cfcbd94283

[ "MIT" ]

null

ibutsu_client/api/artifact_api.py

rsnyman/ibutsu-client-python

451bae383a8bd1a35c3cf917749614cfcbd94283

[ "MIT" ]

null

""" Ibutsu API A system to store and query test results # noqa: E501 The version of the OpenAPI document: 1.13.4 Generated by: https://openapi-generator.tech """ import re # noqa: F401 import sys # noqa: F401 from ibutsu_client.api_client import ApiClient, Endpoint as _Endpoint from ibutsu_client.model_utils import ( # noqa: F401 check_allowed_values, check_validations, date, datetime, file_type, none_type, validate_and_convert_types ) from ibutsu_client.model.artifact import Artifact from ibutsu_client.model.artifact_list import ArtifactList class ArtifactApi(object): """NOTE: This class is auto generated by OpenAPI Generator Ref: https://openapi-generator.tech Do not edit the class manually. """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def __delete_artifact( self, id, **kwargs ): """Delete an artifact # 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_artifact(id, async_req=True) >>> result = thread.get() Args: id (str): ID of artifact to delete Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['id'] = \ id return self.call_with_http_info(**kwargs) self.delete_artifact = _Endpoint( settings={ 'response_type': None, 'auth': [], 'endpoint_path': '/artifact/{id}', 'operation_id': 'delete_artifact', 'http_method': 'DELETE', 'servers': None, }, params_map={ 'all': [ 'id', ], 'required': [ 'id', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'id': (str,), }, 'attribute_map': { 'id': 'id', }, 'location_map': { 'id': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [], 'content_type': [], }, api_client=api_client, callable=__delete_artifact ) def __download_artifact( self, id, **kwargs ): """Download an artifact # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.download_artifact(id, async_req=True) >>> result = thread.get() Args: id (str): ID of artifact to return Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: file_type If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['id'] = \ id return self.call_with_http_info(**kwargs) self.download_artifact = _Endpoint( settings={ 'response_type': (file_type,), 'auth': [], 'endpoint_path': '/artifact/{id}/download', 'operation_id': 'download_artifact', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'id', ], 'required': [ 'id', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'id': (str,), }, 'attribute_map': { 'id': 'id', }, 'location_map': { 'id': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'text/plain', 'image/jpeg', 'image/png', 'image/gif', 'application/octet-stream' ], 'content_type': [], }, api_client=api_client, callable=__download_artifact ) def __get_artifact( self, id, **kwargs ): """Get a single artifact # 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_artifact(id, async_req=True) >>> result = thread.get() Args: id (str): ID of artifact to return Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: Artifact If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['id'] = \ id return self.call_with_http_info(**kwargs) self.get_artifact = _Endpoint( settings={ 'response_type': (Artifact,), 'auth': [], 'endpoint_path': '/artifact/{id}', 'operation_id': 'get_artifact', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'id', ], 'required': [ 'id', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'id': (str,), }, 'attribute_map': { 'id': 'id', }, 'location_map': { 'id': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client, callable=__get_artifact ) def __get_artifact_list( self, **kwargs ): """Get a (filtered) list of artifacts # 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_artifact_list(async_req=True) >>> result = thread.get() Keyword Args: result_id (str): The result ID to filter by. [optional] run_id (str): The run ID to filter by. [optional] page (int): Set the page of items to return, defaults to 1. [optional] page_size (int): Set the number of items per page, defaults to 25. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: ArtifactList If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') return self.call_with_http_info(**kwargs) self.get_artifact_list = _Endpoint( settings={ 'response_type': (ArtifactList,), 'auth': [], 'endpoint_path': '/artifact', 'operation_id': 'get_artifact_list', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'result_id', 'run_id', 'page', 'page_size', ], 'required': [], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'result_id': (str,), 'run_id': (str,), 'page': (int,), 'page_size': (int,), }, 'attribute_map': { 'result_id': 'resultId', 'run_id': 'runId', 'page': 'page', 'page_size': 'pageSize', }, 'location_map': { 'result_id': 'query', 'run_id': 'query', 'page': 'query', 'page_size': 'query', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [], }, api_client=api_client, callable=__get_artifact_list ) def __upload_artifact( self, filename, file, **kwargs ): """Uploads a test run artifact # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.upload_artifact(filename, file, async_req=True) >>> result = thread.get() Args: filename (str): ID of pet to update file (file_type): file to upload Keyword Args: result_id (str): ID of result to attach artifact to. [optional] run_id (str): ID of run to attach artifact to. [optional] additional_metadata ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}): Additional data to pass to server. [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: Artifact If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['filename'] = \ filename kwargs['file'] = \ file return self.call_with_http_info(**kwargs) self.upload_artifact = _Endpoint( settings={ 'response_type': (Artifact,), 'auth': [], 'endpoint_path': '/artifact', 'operation_id': 'upload_artifact', 'http_method': 'POST', 'servers': None, }, params_map={ 'all': [ 'filename', 'file', 'result_id', 'run_id', 'additional_metadata', ], 'required': [ 'filename', 'file', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'filename': (str,), 'file': (file_type,), 'result_id': (str,), 'run_id': (str,), 'additional_metadata': ({str: (bool, date, datetime, dict, float, int, list, str, none_type)},), }, 'attribute_map': { 'filename': 'filename', 'file': 'file', 'result_id': 'resultId', 'run_id': 'runId', 'additional_metadata': 'additionalMetadata', }, 'location_map': { 'filename': 'form', 'file': 'form', 'result_id': 'form', 'run_id': 'form', 'additional_metadata': 'form', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'application/json' ], 'content_type': [ 'multipart/form-data' ] }, api_client=api_client, callable=__upload_artifact ) def __view_artifact( self, id, **kwargs ): """Stream an artifact directly to the client/browser # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.view_artifact(id, async_req=True) >>> result = thread.get() Args: id (str): ID of artifact to return Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (int/float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: file_type If the method is called asynchronously, returns the request thread. """ kwargs['async_req'] = kwargs.get( 'async_req', False ) kwargs['_return_http_data_only'] = kwargs.get( '_return_http_data_only', True ) kwargs['_preload_content'] = kwargs.get( '_preload_content', True ) kwargs['_request_timeout'] = kwargs.get( '_request_timeout', None ) kwargs['_check_input_type'] = kwargs.get( '_check_input_type', True ) kwargs['_check_return_type'] = kwargs.get( '_check_return_type', True ) kwargs['_host_index'] = kwargs.get('_host_index') kwargs['id'] = \ id return self.call_with_http_info(**kwargs) self.view_artifact = _Endpoint( settings={ 'response_type': (file_type,), 'auth': [], 'endpoint_path': '/artifact/{id}/view', 'operation_id': 'view_artifact', 'http_method': 'GET', 'servers': None, }, params_map={ 'all': [ 'id', ], 'required': [ 'id', ], 'nullable': [ ], 'enum': [ ], 'validation': [ ] }, root_map={ 'validations': { }, 'allowed_values': { }, 'openapi_types': { 'id': (str,), }, 'attribute_map': { 'id': 'id', }, 'location_map': { 'id': 'path', }, 'collection_format_map': { } }, headers_map={ 'accept': [ 'text/plain', 'image/jpeg', 'image/png', 'image/gif', 'application/octet-stream' ], 'content_type': [], }, api_client=api_client, callable=__view_artifact )

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27,837

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null

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1

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null

0

7

91bad5bc347e979010e22a1d6e913e8759c50d8c

30,910

py

Python

python/paddle/distributed/auto_parallel/operators/dist_matmul.py

DesmonDay/Paddle

a082b8d7f11e4d366d814b0dfc22b7b42edaba8f

[ "Apache-2.0" ]

1

2021-08-19T05:56:50.000Z

python/paddle/distributed/auto_parallel/operators/dist_matmul.py

XYZ916829/Paddle

1833a2311a9528b09ccba6ed8ebfa104db5147ff

[ "Apache-2.0" ]

null

python/paddle/distributed/auto_parallel/operators/dist_matmul.py

XYZ916829/Paddle

1833a2311a9528b09ccba6ed8ebfa104db5147ff

[ "Apache-2.0" ]

null

# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. # # 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 from .common import DistributedOperator from .common import DistributedOperatorImpl from .common import register_distributed_operator from .common import register_distributed_operator_impl from ..utils import is_dim_shard from ..utils import is_dim_replicate from ..utils import is_valid_list_index from ..utils import compute_compatible_dim_mapping from ..utils import compute_compatible_dims_mapping from ..utils import compute_compatible_and_update_dim_mapping from paddle.fluid import core, unique_name from paddle.fluid.framework import in_dygraph_mode from paddle.fluid.framework import Program, Parameter, Variable, program_guard from paddle.fluid.data_feeder import check_variable_and_dtype, check_dtype from ..process import new_process_group from ..utils import _get_comm_group def _update_dims_mapping_for_matmul(op_dist_attr): changed = False op_desc = op_dist_attr.get_owner_op().desc x_name = op_desc.input('X')[0] y_name = op_desc.input('Y')[0] out_name = op_desc.output('Out')[0] x_dims_mapping = op_dist_attr.get_input_dims_mapping(x_name) y_dims_mapping = op_dist_attr.get_input_dims_mapping(y_name) out_dims_mapping = op_dist_attr.get_output_dims_mapping(out_name) x_dims_mapping_len = len(x_dims_mapping) y_dims_mapping_len = len(y_dims_mapping) out_dims_mapping_len = len(out_dims_mapping) # Add dim mapping to Make sure the length dims_mapping be at least 2 if x_dims_mapping_len == 1: x_dims_mapping.insert(0, -1) if y_dims_mapping_len == 1: y_dims_mapping.insert(1, -1) # Deal with dim > 2 and take care of broadcasting if out_dims_mapping_len > 2: broadcast_x_dims_mapping = [] broadcast_y_dims_mapping = [] broadcast_out_dims_mapping = [] for i in range(out_dims_mapping_len - x_dims_mapping_len): broadcast_x_dims_mapping.append(out_dims_mapping[i]) for i in range(x_dims_mapping_len - 2): broadcast_x_dims_mapping.append(x_dims_mapping[i]) for i in range(out_dims_mapping_len - y_dims_mapping_len): broadcast_y_dims_mapping.append(out_dims_mapping[i]) for i in range(y_dims_mapping_len - 2): broadcast_y_dims_mapping.append(y_dims_mapping[i]) for i in range(out_dims_mapping_len - 2): broadcast_out_dims_mapping.append(out_dims_mapping[i]) compatible_dims_mapping = compute_compatible_dims_mapping([ broadcast_x_dims_mapping, broadcast_y_dims_mapping, broadcast_out_dims_mapping ]) assert compatible_dims_mapping is not None, "There is no compatible dim mapping." for i in range(x_dims_mapping_len - 2): new_idx = i + (out_dims_mapping_len - x_dims_mapping_len) if x_dims_mapping[i] != compatible_dims_mapping[new_idx]: x_dims_mapping[i] = compatible_dims_mapping[new_idx] changed = True for i in range(y_dims_mapping_len - 2): new_idx = i + (out_dims_mapping_len - y_dims_mapping_len) if y_dims_mapping[i] != compatible_dims_mapping[new_idx]: y_dims_mapping[i] = compatible_dims_mapping[new_idx] changed = True for i in range(out_dims_mapping_len - 2): if out_dims_mapping[i] != compatible_dims_mapping[i]: out_dims_mapping[i] = compatible_dims_mapping[i] changed = True # The following which uses negative index can be work # when len(out_dims_mapping) > 2 and len(out_dims_mapping) <=2 dim_changed = compute_compatible_and_update_dim_mapping( [x_dims_mapping, y_dims_mapping], [-1, -2]) if dim_changed: changed = True dim_changed = compute_compatible_and_update_dim_mapping( [x_dims_mapping, out_dims_mapping], [-2, -2]) if dim_changed: changed = True dim_changed = compute_compatible_and_update_dim_mapping( [y_dims_mapping, out_dims_mapping], [-1, -1]) if dim_changed: changed = True # Remove unnecessary dim mapping to make sure the lenght of dims_mapping is same as its tensor if x_dims_mapping_len == 1: x_dims_mapping.pop(0) if y_dims_mapping_len == 1: y_dims_mapping.pop(1) assert len(x_dims_mapping) == x_dims_mapping_len assert len(y_dims_mapping) == y_dims_mapping_len assert len(out_dims_mapping) == out_dims_mapping_len return changed class DistributedMatmul(DistributedOperator): def __init__(self, name): super(DistributedMatmul, self).__init__() self._name = name register_distributed_operator("matmul", DistributedMatmul("matmul")) # ColumnParallel class DistributedMatmulImpl0(DistributedOperatorImpl): def __init__(self, name): super(DistributedMatmulImpl0, self).__init__() self._name = name self._forward_implemented = True self._backward_implemented = False def is_process_mesh_compatible(self, op_dist_attr): """ No restriction for now. """ return True def is_input_compatible(self, op_dist_attr): op_desc = op_dist_attr.get_owner_op().desc x_name = op_desc.input('X')[0] y_name = op_desc.input('Y')[0] x_dims_mapping = op_dist_attr.get_input_dims_mapping(x_name) y_dims_mapping = op_dist_attr.get_input_dims_mapping(y_name) if is_dim_shard(x_dims_mapping[-1]): return False if is_dim_shard(y_dims_mapping[0]) or is_dim_replicate(y_dims_mapping[ 1]): return False for mapping in x_dims_mapping[1:-1]: if is_dim_shard(mapping): return False return True def is_output_compatible(self, op_dist_attr): op_desc = op_dist_attr.get_owner_op().desc out_name = op_desc.output('Out')[0] out_dims_mapping = op_dist_attr.get_output_dims_mapping(out_name) if is_dim_replicate(out_dims_mapping[-1]): return False for mapping in out_dims_mapping[1:-1]: if is_dim_shard(mapping): return False return True def update_dims_mapping(self, op_dist_attr): changed = False dim_changed = _update_dims_mapping_for_matmul(op_dist_attr) if dim_changed: changed = True return changed def forward(self, serial_op): def static_handle(dst_block, src_op, op_dist_attr, input_name_mapping, output_name_mapping, rank_id=0): assert len( input_name_mapping ) == 2, "col_parallel_linear take 2 inputs variable but got {}".format( input_name_mapping) assert len( output_name_mapping ) == 1, "col_parallel_linear take 2 inputs variable but got {}".format( output_name_mapping) assert len( input_name_mapping['X'] ) == 1, "col_parallel_linear input X take 1 variable but got {}".format( input_name_mapping['X']) assert len( input_name_mapping['Y'] ) == 1, "col_parallel_linear input Y take 1 variable but got {}".format( input_name_mapping['Y']) assert len( output_name_mapping['Out'] ) == 1, "col_parallel_linear input Out take 1 variable but got {}".format( input_name_mapping['Out']) X_var = dst_block.var(input_name_mapping['X'][0]) Weight_var = dst_block.var(input_name_mapping['Y'][0]) Out_var = dst_block.var(output_name_mapping['Out'][0]) # TODO infer logic comm presentation model_parallel_axis, process_mesh = op_dist_attr.get_owner_context( )._get_model_parallel_info() group_ranks = _get_comm_group(process_mesh.process_group, process_mesh.topology, model_parallel_axis, rank_id) group = new_process_group(group_ranks) intermediate_var_0 = dst_block.create_var( name=unique_name.generate_with_ignorable_key(".".join( ["c_identity", 'tmp'])), dtype=X_var.dtype, shape=X_var.shape, type=core.VarDesc.VarType.LOD_TENSOR, persistable=False, stop_gradient=X_var.stop_gradient) check_variable_and_dtype( X_var, 'tensor', ['float16', 'float32', 'float64', 'int32', 'int64'], '_c_identity') dst_block.append_op( type='c_identity', inputs={'X': [X_var]}, outputs={'Out': intermediate_var_0}, attrs={ 'ring_id': group.id, 'use_calc_stream': True, 'use_model_parallel': True, }) check_variable_and_dtype(intermediate_var_0, 'x', ['float16', 'float32', 'float64'], 'linear') check_dtype(intermediate_var_0.dtype, 'dtype', ['float16', 'float32', 'float64'], 'linear') attrs = { 'transpose_X': False, 'transpose_Y': False, 'alpha': 1, } inputs = {'X': [intermediate_var_0], 'Y': [Weight_var]} dst_block.append_op( type='matmul', inputs=inputs, outputs={'Out': Out_var}, attrs=attrs) if in_dygraph_mode(): raise NotImplementedError( "Dist op for [{}] with idx [{}] is NOT implemented yet.".format( "matmul", 0)) else: return static_handle # RowParallel class DistributedMatmulImpl1(DistributedOperatorImpl): def __init__(self, name): super(DistributedMatmulImpl1, self).__init__() self._name = name self._forward_implemented = True self._backward_implemented = False def is_process_mesh_compatible(self, op_dist_attr): """ No restriction for now. """ return True def is_input_compatible(self, op_dist_attr): op_desc = op_dist_attr.get_owner_op().desc x_name = op_desc.input('X')[0] y_name = op_desc.input('Y')[0] x_dims_mapping = op_dist_attr.get_input_dims_mapping(x_name) y_dims_mapping = op_dist_attr.get_input_dims_mapping(y_name) if is_dim_replicate(x_dims_mapping[-1]): return False if is_dim_replicate(y_dims_mapping[-2]) or is_dim_shard(y_dims_mapping[ -1]): return False # Other dimensions must be replicate except the batch dimension for mapping in x_dims_mapping[1:-1]: if is_dim_shard(mapping): return False return True def is_output_compatible(self, op_dist_attr): op_desc = op_dist_attr.get_owner_op().desc out_name = op_desc.output('Out')[0] out_dims_mapping = op_dist_attr.get_output_dims_mapping(out_name) if is_dim_shard(out_dims_mapping[-1]): return False # Other dimensions must be replicate except the batch dimension for mapping in out_dims_mapping[1:-1]: if is_dim_shard(mapping): return False return True def update_dims_mapping(self, op_dist_attr): changed = False dim_changed = _update_dims_mapping_for_matmul(op_dist_attr) if dim_changed: changed = True return changed def forward(self, serial_op): def static_handle(dst_block, src_op, op_dist_attr, input_name_mapping, output_name_mapping, rank_id=0): assert len( input_name_mapping ) == 2, "col_parallel_linear take 2 inputs variable but got {}".format( input_name_mapping) assert len( output_name_mapping ) == 1, "col_parallel_linear take 2 inputs variable but got {}".format( output_name_mapping) assert len( input_name_mapping['X'] ) == 1, "col_parallel_linear input X take 1 variable but got {}".format( input_name_mapping['X']) assert len( input_name_mapping['Y'] ) == 1, "col_parallel_linear input Y take 1 variable but got {}".format( input_name_mapping['Y']) assert len( output_name_mapping['Out'] ) == 1, "col_parallel_linear input Out take 1 variable but got {}".format( input_name_mapping['Out']) X_var = dst_block.var(input_name_mapping['X'][0]) Weight_var = dst_block.var(input_name_mapping['Y'][0]) Out_var = dst_block.var(output_name_mapping['Out'][0]) # TODO infer logic comm presentation model_parallel_axis, process_mesh = op_dist_attr.get_owner_context( )._get_model_parallel_info() group_ranks = _get_comm_group(process_mesh.process_group, process_mesh.topology, model_parallel_axis, rank_id) group = new_process_group(group_ranks) check_variable_and_dtype( X_var, 'x', ['float16', 'float32', 'float64'], 'linear') check_dtype(X_var.dtype, 'dtype', ['float16', 'float32', 'float64'], 'linear') attrs = { 'transpose_X': False, 'transpose_Y': False, 'alpha': 1, } inputs = {'X': X_var, 'Y': Weight_var} intermediate_var_0 = dst_block.create_var( shape=Out_var.shape, dtype=Out_var.dtype, type=Out_var.type, lod_level=Out_var.lod_level, persistable=False, is_data=False, need_check_feed=Out_var.desc.need_check_feed()) dst_block.append_op( type='matmul', inputs=inputs, outputs={'Out': intermediate_var_0}, attrs=attrs) dst_block.append_op( type='c_allreduce_sum', inputs={'X': intermediate_var_0}, outputs={'Out': Out_var}, attrs={ 'ring_id': group.id, 'use_calc_stream': True, 'use_model_parallel': True }) if in_dygraph_mode(): raise NotImplementedError( "Dist op for [{}] with idx [{}] is NOT implemented yet.".format( "matmul", 0)) else: return static_handle # ReplicateParallel class DistributedMatmulImpl2(DistributedOperatorImpl): def __init__(self, name): super(DistributedMatmulImpl2, self).__init__() self._name = name def is_process_mesh_compatible(self, op_dist_attr): """ No restriction for now. """ return True def is_input_compatible(self, op_dist_attr): op_desc = op_dist_attr.get_owner_op().desc x_name = op_desc.input('X')[0] y_name = op_desc.input('Y')[0] x_dims_mapping = op_dist_attr.get_input_dims_mapping(x_name) y_dims_mapping = op_dist_attr.get_input_dims_mapping(y_name) if is_dim_shard(x_dims_mapping[-1]): return False if is_valid_list_index(x_dims_mapping, -2) and is_dim_shard(x_dims_mapping[-2]): return False if is_dim_shard(y_dims_mapping[-1]): return False if is_valid_list_index(y_dims_mapping, -2) and is_dim_shard(y_dims_mapping[-2]): return False return True def is_output_compatible(self, op_dist_attr): op_desc = op_dist_attr.get_owner_op().desc out_name = op_desc.output('Out')[0] out_dims_mapping = op_dist_attr.get_output_dims_mapping(out_name) if is_dim_shard(out_dims_mapping[-1]): return False if is_valid_list_index(out_dims_mapping, -2) and is_dim_shard(out_dims_mapping[-2]): return False return True def update_dims_mapping(self, op_dist_attr): changed = False dim_changed = _update_dims_mapping_for_matmul(op_dist_attr) if dim_changed: changed = True return changed register_distributed_operator_impl("matmul", DistributedMatmulImpl0("column_parallel")) register_distributed_operator_impl("matmul", DistributedMatmulImpl1("row_parallel")) register_distributed_operator_impl("matmul", DistributedMatmulImpl2("replicate_parallel")) class DistributedMatmulV2(DistributedOperator): def __init__(self, name): super(DistributedMatmulV2, self).__init__() self._name = name register_distributed_operator("matmul_v2", DistributedMatmulV2("matmul_v2")) # ColumnParallel class DistributedMatmulV2Impl0(DistributedOperatorImpl): def __init__(self, name): super(DistributedMatmulV2Impl0, self).__init__() self._name = name self._forward_implemented = True self._backward_implemented = False def is_process_mesh_compatible(self, op_dist_attr): """ No restriction for now. """ return True def is_input_compatible(self, op_dist_attr): op_desc = op_dist_attr.get_owner_op().desc x_name = op_desc.input('X')[0] y_name = op_desc.input('Y')[0] x_dims_mapping = op_dist_attr.get_input_dims_mapping(x_name) y_dims_mapping = op_dist_attr.get_input_dims_mapping(y_name) if is_dim_shard(x_dims_mapping[-1]): return False if is_dim_shard(y_dims_mapping[0]) or is_dim_replicate(y_dims_mapping[ 1]): return False for mapping in x_dims_mapping[1:-1]: if is_dim_shard(mapping): return False return True def is_output_compatible(self, op_dist_attr): op_desc = op_dist_attr.get_owner_op().desc out_name = op_desc.output('Out')[0] out_dims_mapping = op_dist_attr.get_output_dims_mapping(out_name) if is_dim_replicate(out_dims_mapping[-1]): return False for mapping in out_dims_mapping[1:-1]: if is_dim_shard(mapping): return False return True def update_dims_mapping(self, op_dist_attr): changed = False dim_changed = _update_dims_mapping_for_matmul(op_dist_attr) if dim_changed: changed = True return changed def forward(self, serial_op): def static_handle(dst_block, src_op, op_dist_attr, input_name_mapping, output_name_mapping, rank_id=0): assert len( input_name_mapping ) == 2, "col_parallel_linear take 2 inputs variable but got {}".format( input_name_mapping) assert len( output_name_mapping ) == 1, "col_parallel_linear take 2 inputs variable but got {}".format( output_name_mapping) assert len( input_name_mapping['X'] ) == 1, "col_parallel_linear input X take 1 variable but got {}".format( input_name_mapping['X']) assert len( input_name_mapping['Y'] ) == 1, "col_parallel_linear input Y take 1 variable but got {}".format( input_name_mapping['Y']) assert len( output_name_mapping['Out'] ) == 1, "col_parallel_linear input Out take 1 variable but got {}".format( input_name_mapping['Out']) X_var = dst_block.var(input_name_mapping['X'][0]) Weight_var = dst_block.var(input_name_mapping['Y'][0]) Out_var = dst_block.var(output_name_mapping['Out'][0]) # TODO infer logic comm presentation from ..process import new_process_group from ..transpiler import _get_comm_group model_parallel_axis, process_mesh = op_dist_attr.get_owner_context( )._get_model_parallel_info() group_ranks = _get_comm_group(process_mesh.topology, model_parallel_axis, process_mesh.process_group, rank_id) group = new_process_group(group_ranks) # print("@@@@@@@@@@@@@@@@@@@@@ 5", group) intermediate_var_0 = dst_block.create_var( name=unique_name.generate_with_ignorable_key(".".join( ["c_identity", 'tmp'])), dtype=X_var.dtype, shape=X_var.shape, type=core.VarDesc.VarType.LOD_TENSOR, persistable=False, stop_gradient=X_var.stop_gradient) check_variable_and_dtype( X_var, 'tensor', ['float16', 'float32', 'float64', 'int32', 'int64'], '_c_identity') dst_block.append_op( type='c_identity', inputs={'X': [X_var]}, outputs={'Out': intermediate_var_0}, attrs={ 'ring_id': group.id, 'use_calc_stream': True, 'use_model_parallel': True, }) check_variable_and_dtype(intermediate_var_0, 'x', ['float16', 'float32', 'float64'], 'linear') check_dtype(intermediate_var_0.dtype, 'dtype', ['float16', 'float32', 'float64'], 'linear') attrs = {'trans_x': False, 'trans_y': False} inputs = {'X': [intermediate_var_0], 'Y': [Weight_var]} dst_block.append_op( type='matmul_v2', inputs=inputs, outputs={'Out': Out_var}, attrs=attrs) if in_dygraph_mode(): raise NotImplementedError( "Dist op for [{}] with idx [{}] is NOT implemented yet.".format( "matmul", 0)) else: return static_handle # RowParallel class DistributedMatmulV2Impl1(DistributedOperatorImpl): def __init__(self, name): super(DistributedMatmulV2Impl1, self).__init__() self._name = name self._forward_implemented = True self._backward_implemented = False def is_process_mesh_compatible(self, op_dist_attr): """ No restriction for now. """ return True def is_input_compatible(self, op_dist_attr): op_desc = op_dist_attr.get_owner_op().desc x_name = op_desc.input('X')[0] y_name = op_desc.input('Y')[0] x_dims_mapping = op_dist_attr.get_input_dims_mapping(x_name) y_dims_mapping = op_dist_attr.get_input_dims_mapping(y_name) if is_dim_replicate(x_dims_mapping[-1]): return False if is_dim_replicate(y_dims_mapping[-2]) or is_dim_shard(y_dims_mapping[ -1]): return False # Other dimensions must be replicate except the batch dimension for mapping in x_dims_mapping[1:-1]: if is_dim_shard(mapping): return False return True def is_output_compatible(self, op_dist_attr): op_desc = op_dist_attr.get_owner_op().desc out_name = op_desc.output('Out')[0] out_dims_mapping = op_dist_attr.get_output_dims_mapping(out_name) if is_dim_shard(out_dims_mapping[-1]): return False # Other dimensions must be replicate except the batch dimension for mapping in out_dims_mapping[1:-1]: if is_dim_shard(mapping): return False return True def update_dims_mapping(self, op_dist_attr): changed = False dim_changed = _update_dims_mapping_for_matmul(op_dist_attr) if dim_changed: changed = True return changed def forward(self, serial_op): def static_handle(dst_block, src_op, op_dist_attr, input_name_mapping, output_name_mapping, rank_id=0): assert len( input_name_mapping ) == 2, "col_parallel_linear take 2 inputs variable but got {}".format( input_name_mapping) assert len( output_name_mapping ) == 1, "col_parallel_linear take 2 inputs variable but got {}".format( output_name_mapping) assert len( input_name_mapping['X'] ) == 1, "col_parallel_linear input X take 1 variable but got {}".format( input_name_mapping['X']) assert len( input_name_mapping['Y'] ) == 1, "col_parallel_linear input Y take 1 variable but got {}".format( input_name_mapping['Y']) assert len( output_name_mapping['Out'] ) == 1, "col_parallel_linear input Out take 1 variable but got {}".format( input_name_mapping['Out']) X_var = dst_block.var(input_name_mapping['X'][0]) Weight_var = dst_block.var(input_name_mapping['Y'][0]) Out_var = dst_block.var(output_name_mapping['Out'][0]) # TODO infer logic comm presentation from ..process import new_process_group from ..transpiler import _get_comm_group model_parallel_axis, process_mesh = op_dist_attr.get_owner_context( )._get_model_parallel_info() group_ranks = _get_comm_group(process_mesh.topology, model_parallel_axis, process_mesh.process_group, rank_id) group = new_process_group(group_ranks) # print("@@@@@@@@@@@@@@@@@@@@@ 4", group) check_variable_and_dtype( X_var, 'x', ['float16', 'float32', 'float64'], 'linear') check_dtype(X_var.dtype, 'dtype', ['float16', 'float32', 'float64'], 'linear') attrs = {'trans_x': False, 'trans_y': False} inputs = {'X': X_var, 'Y': Weight_var} intermediate_var_0 = dst_block.create_var( shape=Out_var.shape, dtype=Out_var.dtype, type=Out_var.type, lod_level=Out_var.lod_level, persistable=False, is_data=False, need_check_feed=Out_var.desc.need_check_feed()) dst_block.append_op( type='matmul_v2', inputs=inputs, outputs={'Out': intermediate_var_0}, attrs=attrs) dst_block.append_op( type='c_allreduce_sum', inputs={'X': intermediate_var_0}, outputs={'Out': Out_var}, attrs={ 'ring_id': group.id, 'use_calc_stream': True, 'use_model_parallel': True }) if in_dygraph_mode(): raise NotImplementedError( "Dist op for [{}] with idx [{}] is NOT implemented yet.".format( "matmul", 0)) else: return static_handle # ReplicateParallel class DistributedMatmulV2Impl2(DistributedOperatorImpl): def __init__(self, name): super(DistributedMatmulV2Impl2, self).__init__() self._name = name def is_process_mesh_compatible(self, op_dist_attr): """ No restriction for now. """ return True def is_input_compatible(self, op_dist_attr): op_desc = op_dist_attr.get_owner_op().desc x_name = op_desc.input('X')[0] y_name = op_desc.input('Y')[0] x_dims_mapping = op_dist_attr.get_input_dims_mapping(x_name) y_dims_mapping = op_dist_attr.get_input_dims_mapping(y_name) if is_dim_shard(x_dims_mapping[-1]): return False if is_valid_list_index(x_dims_mapping, -2) and is_dim_shard(x_dims_mapping[-2]): return False if is_dim_shard(y_dims_mapping[-1]): return False if is_valid_list_index(y_dims_mapping, -2) and is_dim_shard(y_dims_mapping[-2]): return False return True def is_output_compatible(self, op_dist_attr): op_desc = op_dist_attr.get_owner_op().desc out_name = op_desc.output('Out')[0] out_dims_mapping = op_dist_attr.get_output_dims_mapping(out_name) if is_dim_shard(out_dims_mapping[-1]): return False if is_valid_list_index(out_dims_mapping, -2) and is_dim_shard(out_dims_mapping[-2]): return False return True def update_dims_mapping(self, op_dist_attr): changed = False dim_changed = _update_dims_mapping_for_matmul(op_dist_attr) if dim_changed: changed = True return changed register_distributed_operator_impl("matmul_v2", DistributedMatmulV2Impl0("column_parallel")) register_distributed_operator_impl("matmul_v2", DistributedMatmulV2Impl1("row_parallel")) register_distributed_operator_impl( "matmul_v2", DistributedMatmulV2Impl2("replicate_parallel"))

39.42602

98

0.591588

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4.517084

0.06968

0.113996

0.043478

0.029422

0.893985

0.875521

0.831983

0.813341

0.799404

0.777248

0

0.013898

0.322582

30,910

783

99

39.476373

0.787955

0.052248

0

0.875583

0

0.079969

0

0.001277

0.037325

1

0.063764

false

0

0.031104

0

0.202177

0

null

0

1

0

1

0

null

0

7

37eccf2cda4c242fbb24dc3b59c6dbb75f3ad77e

10,418

py

Python

tests/bugs/core_0769_test.py

FirebirdSQL/firebird-qa

96af2def7f905a06f178e2a80a2c8be4a4b44782

[ "MIT" ]

1

2022-02-05T11:37:13.000Z

tests/bugs/core_0769_test.py

FirebirdSQL/firebird-qa

96af2def7f905a06f178e2a80a2c8be4a4b44782

[ "MIT" ]

1

2021-09-03T11:47:00.000Z

2021-09-03T12:42:10.000Z

tests/bugs/core_0769_test.py

FirebirdSQL/firebird-qa

96af2def7f905a06f178e2a80a2c8be4a4b44782

[ "MIT" ]

1

2021-06-30T14:14:16.000Z

#coding:utf-8 # # id: bugs.core_0769 # title: Wildcards/Regular Expressions in WHERE clause - SIMILAR TO predicate # decription: # tracker_id: CORE-769 # min_versions: ['2.5.0'] # versions: 3.0 # qmid: None import pytest from firebird.qa import db_factory, isql_act, Action # version: 3.0 # resources: None substitutions_1 = [] init_script_1 = """""" db_1 = db_factory(page_size=4096, sql_dialect=3, init=init_script_1) test_script_1 = """SELECT IIF('ab' SIMILAR TO 'ab|cd|efg','true','false'),'true','''ab'' SIMILAR TO ''ab|cd|efg''' FROM RDB$DATABASE; SELECT IIF('efg' SIMILAR TO 'ab|cd|efg','true','false'),'true','''efg'' SIMILAR TO ''ab|cd|efg''' FROM RDB$DATABASE; SELECT IIF('a' SIMILAR TO 'ab|cd|efg','true','false'),'false','''a'' SIMILAR TO ''ab|cd|efg''' FROM RDB$DATABASE; SELECT IIF('' SIMILAR TO 'a*','true','false'),'true',''''' SIMILAR TO ''a*''' FROM RDB$DATABASE; SELECT IIF('a' SIMILAR TO 'a*','true','false'),'true','''a'' SIMILAR TO ''a*''' FROM RDB$DATABASE; SELECT IIF('aaa' SIMILAR TO 'a*','true','false'),'true','''aaa'' SIMILAR TO ''a*''' FROM RDB$DATABASE; SELECT IIF('' SIMILAR TO 'a+','true','false'),'false',''''' SIMILAR TO ''a+''' FROM RDB$DATABASE; SELECT IIF('a' SIMILAR TO 'a+','true','false'),'true','''a'' SIMILAR TO ''a+''' FROM RDB$DATABASE; SELECT IIF('aaa' SIMILAR TO 'a+','true','false'),'true','''aaa'' SIMILAR TO ''a+''' FROM RDB$DATABASE; SELECT IIF('' SIMILAR TO 'a?','true','false'),'true',''''' SIMILAR TO ''a?''' FROM RDB$DATABASE; SELECT IIF('a' SIMILAR TO 'a?','true','false'),'true','''a'' SIMILAR TO ''a?''' FROM RDB$DATABASE; SELECT IIF('aaa' SIMILAR TO 'a?','true','false'),'false','''aaa'' SIMILAR TO ''a?''' FROM RDB$DATABASE; SELECT IIF('' SIMILAR TO 'a{2,}','true','false'),'false',''''' SIMILAR TO ''a{2,}''' FROM RDB$DATABASE; SELECT IIF('a' SIMILAR TO 'a{2,}','true','false'),'false','''a'' SIMILAR TO ''a{2,}''' FROM RDB$DATABASE; SELECT IIF('aa' SIMILAR TO 'a{2,}','true','false'),'true','''aa'' SIMILAR TO ''a{2,}''' FROM RDB$DATABASE; SELECT IIF('aaa' SIMILAR TO 'a{2,}','true','false'),'true','''aaa'' SIMILAR TO ''a{2,}''' FROM RDB$DATABASE; SELECT IIF('' SIMILAR TO 'a{2,4}','true','false'),'false',''''' SIMILAR TO ''a{2,4}''' FROM RDB$DATABASE; SELECT IIF('a' SIMILAR TO 'a{2,4}','true','false'),'false','''a'' SIMILAR TO ''a{2,4}''' FROM RDB$DATABASE; SELECT IIF('aa' SIMILAR TO 'a{2,4}','true','false'),'true','''aa'' SIMILAR TO ''a{2,4}''' FROM RDB$DATABASE; SELECT IIF('aaa' SIMILAR TO 'a{2,4}','true','false'),'true','''aaa'' SIMILAR TO ''a{2,4}''' FROM RDB$DATABASE; SELECT IIF('aaaa' SIMILAR TO 'a{2,4}','true','false'),'true','''aaaa'' SIMILAR TO ''a{2,4}''' FROM RDB$DATABASE; SELECT IIF('aaaaa' SIMILAR TO 'a{2,4}','true','false'),'false','''aaaaa'' SIMILAR TO ''a{2,4}''' FROM RDB$DATABASE; SELECT IIF('' SIMILAR TO '_','true','false'),'false',''''' SIMILAR TO ''_''' FROM RDB$DATABASE; SELECT IIF('a' SIMILAR TO '_','true','false'),'true','''a'' SIMILAR TO ''_''' FROM RDB$DATABASE; SELECT IIF('1' SIMILAR TO '_','true','false'),'true','''1'' SIMILAR TO ''_''' FROM RDB$DATABASE; SELECT IIF('a1' SIMILAR TO '_','true','false'),'false','''a1'' SIMILAR TO ''_''' FROM RDB$DATABASE; SELECT IIF('' SIMILAR TO '%','true','false'),'true',''''' SIMILAR TO ''%''' FROM RDB$DATABASE; SELECT IIF('az' SIMILAR TO 'a%z','true','false'),'true','''az'' SIMILAR TO ''a%z''' FROM RDB$DATABASE; SELECT IIF('a123z' SIMILAR TO 'a%z','true','false'),'true','''a123z'' SIMILAR TO ''a%z''' FROM RDB$DATABASE; SELECT IIF('azx' SIMILAR TO 'a%z','true','false'),'false','''azx'' SIMILAR TO ''a%z''' FROM RDB$DATABASE; SELECT IIF('ab' SIMILAR TO '(ab){2}','true','false'),'false','''ab'' SIMILAR TO ''(ab){2}''' FROM RDB$DATABASE; SELECT IIF('aabb' SIMILAR TO '(ab){2}','true','false'),'false','''aabb'' SIMILAR TO ''(ab){2}''' FROM RDB$DATABASE; SELECT IIF('abab' SIMILAR TO '(ab){2}','true','false'),'true','''abab'' SIMILAR TO ''(ab){2}''' FROM RDB$DATABASE; SELECT IIF('b' SIMILAR TO '[abc]','true','false'),'true','''b'' SIMILAR TO ''[abc]''' FROM RDB$DATABASE; SELECT IIF('d' SIMILAR TO '[abc]','true','false'),'false','''d'' SIMILAR TO ''[abc]''' FROM RDB$DATABASE; SELECT IIF('9' SIMILAR TO '[0-9]','true','false'),'true','''9'' SIMILAR TO ''[0-9]''' FROM RDB$DATABASE; SELECT IIF('9' SIMILAR TO '[0-8]','true','false'),'false','''9'' SIMILAR TO ''[0-8]''' FROM RDB$DATABASE; SELECT IIF('b' SIMILAR TO '[^abc]','true','false'),'false','''b'' SIMILAR TO ''[^abc]''' FROM RDB$DATABASE; SELECT IIF('d' SIMILAR TO '[^abc]','true','false'),'true','''d'' SIMILAR TO ''[^abc]''' FROM RDB$DATABASE; SELECT IIF('3' SIMILAR TO '[[:DIGIT:]^3]','true','false'),'false','''3'' SIMILAR TO ''[[:DIGIT:]^3]''' FROM RDB$DATABASE; SELECT IIF('4' SIMILAR TO '[[:DIGIT:]^3]','true','false'),'true','''4'' SIMILAR TO ''[[:DIGIT:]^3]''' FROM RDB$DATABASE; SELECT IIF('4' SIMILAR TO '[[:DIGIT:]]','true','false'),'true','''4'' SIMILAR TO ''[[:DIGIT:]]''' FROM RDB$DATABASE; SELECT IIF('a' SIMILAR TO '[[:DIGIT:]]','true','false'),'false','''a'' SIMILAR TO ''[[:DIGIT:]]''' FROM RDB$DATABASE; SELECT IIF('4' SIMILAR TO '[^[:DIGIT:]]','true','false'),'false','''4'' SIMILAR TO ''[^[:DIGIT:]]''' FROM RDB$DATABASE; SELECT IIF('a' SIMILAR TO '[^[:DIGIT:]]','true','false'),'true','''a'' SIMILAR TO ''[^[:DIGIT:]]''' FROM RDB$DATABASE; """ act_1 = isql_act('db_1', test_script_1, substitutions=substitutions_1) expected_stdout_1 = """ CASE CONSTANT CONSTANT ====== ======== =========================== true true 'ab' SIMILAR TO 'ab|cd|efg' CASE CONSTANT CONSTANT ====== ======== ============================ true true 'efg' SIMILAR TO 'ab|cd|efg' CASE CONSTANT CONSTANT ====== ======== ========================== false false 'a' SIMILAR TO 'ab|cd|efg' CASE CONSTANT CONSTANT ====== ======== ================== true true '' SIMILAR TO 'a*' CASE CONSTANT CONSTANT ====== ======== =================== true true 'a' SIMILAR TO 'a*' CASE CONSTANT CONSTANT ====== ======== ===================== true true 'aaa' SIMILAR TO 'a*' CASE CONSTANT CONSTANT ====== ======== ================== false false '' SIMILAR TO 'a+' CASE CONSTANT CONSTANT ====== ======== =================== true true 'a' SIMILAR TO 'a+' CASE CONSTANT CONSTANT ====== ======== ===================== true true 'aaa' SIMILAR TO 'a+' CASE CONSTANT CONSTANT ====== ======== ================== true true '' SIMILAR TO 'a?' CASE CONSTANT CONSTANT ====== ======== =================== true true 'a' SIMILAR TO 'a?' CASE CONSTANT CONSTANT ====== ======== ===================== false false 'aaa' SIMILAR TO 'a?' CASE CONSTANT CONSTANT ====== ======== ===================== false false '' SIMILAR TO 'a{2,}' CASE CONSTANT CONSTANT ====== ======== ====================== false false 'a' SIMILAR TO 'a{2,}' CASE CONSTANT CONSTANT ====== ======== ======================= true true 'aa' SIMILAR TO 'a{2,}' CASE CONSTANT CONSTANT ====== ======== ======================== true true 'aaa' SIMILAR TO 'a{2,}' CASE CONSTANT CONSTANT ====== ======== ====================== false false '' SIMILAR TO 'a{2,4}' CASE CONSTANT CONSTANT ====== ======== ======================= false false 'a' SIMILAR TO 'a{2,4}' CASE CONSTANT CONSTANT ====== ======== ======================== true true 'aa' SIMILAR TO 'a{2,4}' CASE CONSTANT CONSTANT ====== ======== ========================= true true 'aaa' SIMILAR TO 'a{2,4}' CASE CONSTANT CONSTANT ====== ======== ========================== true true 'aaaa' SIMILAR TO 'a{2,4}' CASE CONSTANT CONSTANT ====== ======== =========================== false false 'aaaaa' SIMILAR TO 'a{2,4}' CASE CONSTANT CONSTANT ====== ======== ================= false false '' SIMILAR TO '_' CASE CONSTANT CONSTANT ====== ======== ================== true true 'a' SIMILAR TO '_' CASE CONSTANT CONSTANT ====== ======== ================== true true '1' SIMILAR TO '_' CASE CONSTANT CONSTANT ====== ======== =================== false false 'a1' SIMILAR TO '_' CASE CONSTANT CONSTANT ====== ======== ================= true true '' SIMILAR TO '%' CASE CONSTANT CONSTANT ====== ======== ===================== true true 'az' SIMILAR TO 'a%z' CASE CONSTANT CONSTANT ====== ======== ======================== true true 'a123z' SIMILAR TO 'a%z' CASE CONSTANT CONSTANT ====== ======== ====================== false false 'azx' SIMILAR TO 'a%z' CASE CONSTANT CONSTANT ====== ======== ========================= false false 'ab' SIMILAR TO '(ab){2}' CASE CONSTANT CONSTANT ====== ======== =========================== false false 'aabb' SIMILAR TO '(ab){2}' CASE CONSTANT CONSTANT ====== ======== =========================== true true 'abab' SIMILAR TO '(ab){2}' CASE CONSTANT CONSTANT ====== ======== ====================== true true 'b' SIMILAR TO '[abc]' CASE CONSTANT CONSTANT ====== ======== ====================== false false 'd' SIMILAR TO '[abc]' CASE CONSTANT CONSTANT ====== ======== ====================== true true '9' SIMILAR TO '[0-9]' CASE CONSTANT CONSTANT ====== ======== ====================== false false '9' SIMILAR TO '[0-8]' CASE CONSTANT CONSTANT ====== ======== ======================= false false 'b' SIMILAR TO '[^abc]' CASE CONSTANT CONSTANT ====== ======== ======================= true true 'd' SIMILAR TO '[^abc]' CASE CONSTANT CONSTANT ====== ======== ============================== false false '3' SIMILAR TO '[[:DIGIT:]^3]' CASE CONSTANT CONSTANT ====== ======== ============================== true true '4' SIMILAR TO '[[:DIGIT:]^3]' CASE CONSTANT CONSTANT ====== ======== ============================ true true '4' SIMILAR TO '[[:DIGIT:]]' CASE CONSTANT CONSTANT ====== ======== ============================ false false 'a' SIMILAR TO '[[:DIGIT:]]' CASE CONSTANT CONSTANT ====== ======== ============================= false false '4' SIMILAR TO '[^[:DIGIT:]]' CASE CONSTANT CONSTANT ====== ======== ============================= true true 'a' SIMILAR TO '[^[:DIGIT:]]' """ @pytest.mark.version('>=3.0') def test_1(act_1: Action): act_1.expected_stdout = expected_stdout_1 act_1.execute() assert act_1.clean_stdout == act_1.clean_expected_stdout

34.157377

133

0.511231

1,301

10,418

4.056879

0.066103

0.231906

0.125047

0.175066

0.902046

0.865858

0.827018

0.713338

0.586396

0.464759

0

0.01655

0.147437

10,418

304

134

34.269737

0.577685

0.024189

0

0.474227

0

0.226804

0.951152

0.252511

0

0.005155

1

0.005155

false

0

0.010309

0

0.015464

0

null

1

0

1

0

1

0

null

0

8

533f271d1aafea8b6f3a2e92ff6fb443f4f5609e

2,860

py

Python

Square.py

Square5/Darkcyber

0327b5fef137633b8f63c68f2d64e106a8660a3c

[ "Apache-2.0" ]

null

Square.py

Square5/Darkcyber

0327b5fef137633b8f63c68f2d64e106a8660a3c

[ "Apache-2.0" ]

null

Square.py

Square5/Darkcyber

0327b5fef137633b8f63c68f2d64e106a8660a3c

[ "Apache-2.0" ]

null

def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) def square (a): return a*a x = input ("enter your square :-") y =(square (int(x))) print ("square of number is :-" + str (y)) print ("thank you😊😊😊😊")

18.69281

42

0.581469

488

2,860

3.415984

0.036885

0.118776

0.131974

0.211158

0.989802

0

0.208042

2,860

152

43

18.815789

0.734216

0

0.990991

0

0.329003

0

1

0.198198

false

0

0.198198

0.396396

0.207207

0

null

0

1

0

1

0

null

0

1

0

9

72736e84597f25dbb1a297d41b610dd25d1cf79a

10,153

py

Python

tests/frameworks/test_starlette.py

rlopes-ki/python-sensor

07e827f9982b2a0c482e8eab82d1a420923efd5e

[ "MIT" ]

61

2017-09-27T02:50:17.000Z

2022-03-22T12:13:37.000Z

tests/frameworks/test_starlette.py

rlopes-ki/python-sensor

07e827f9982b2a0c482e8eab82d1a420923efd5e

[ "MIT" ]

82

2017-07-11T13:47:33.000Z

2022-03-22T10:10:38.000Z

tests/frameworks/test_starlette.py

rlopes-ki/python-sensor

07e827f9982b2a0c482e8eab82d1a420923efd5e

[ "MIT" ]

27

2017-09-11T16:22:32.000Z

2022-03-11T17:21:49.000Z

# (c) Copyright IBM Corp. 2021 # (c) Copyright Instana Inc. 2020 from __future__ import absolute_import import time import pytest import requests import multiprocessing from ..helpers import testenv from instana.singletons import tracer from ..helpers import get_first_span_by_filter @pytest.fixture(scope="module") def server(): from tests.apps.starlette_app import launch_starlette proc = multiprocessing.Process(target=launch_starlette, args=(), daemon=True) proc.start() time.sleep(2) yield proc.kill() # Kill server after tests def test_vanilla_get(server): result = requests.get(testenv["starlette_server"] + '/') assert(result) spans = tracer.recorder.queued_spans() # Starlette instrumentation (like all instrumentation) _always_ traces unless told otherwise assert len(spans) == 1 assert spans[0].n == 'asgi' assert "X-INSTANA-T" in result.headers assert "X-INSTANA-S" in result.headers assert "X-INSTANA-L" in result.headers assert result.headers["X-INSTANA-L"] == '1' assert "Server-Timing" in result.headers def test_basic_get(server): result = None with tracer.start_active_span('test'): result = requests.get(testenv["starlette_server"] + '/') assert(result) spans = tracer.recorder.queued_spans() assert len(spans) == 3 span_filter = lambda span: span.n == "sdk" and span.data['sdk']['name'] == 'test' test_span = get_first_span_by_filter(spans, span_filter) assert(test_span) span_filter = lambda span: span.n == "urllib3" urllib3_span = get_first_span_by_filter(spans, span_filter) assert(urllib3_span) span_filter = lambda span: span.n == 'asgi' asgi_span = get_first_span_by_filter(spans, span_filter) assert(asgi_span) assert(test_span.t == urllib3_span.t == asgi_span.t) assert(asgi_span.p == urllib3_span.s) assert(urllib3_span.p == test_span.s) assert "X-INSTANA-T" in result.headers assert result.headers["X-INSTANA-T"] == asgi_span.t assert "X-INSTANA-S" in result.headers assert result.headers["X-INSTANA-S"] == asgi_span.s assert "X-INSTANA-L" in result.headers assert result.headers["X-INSTANA-L"] == '1' assert "Server-Timing" in result.headers assert result.headers["Server-Timing"] == ("intid;desc=%s" % asgi_span.t) assert(asgi_span.ec == None) assert (asgi_span.data['http']['host'] == '127.0.0.1') assert (asgi_span.data['http']['path'] == '/') assert (asgi_span.data['http']['path_tpl'] == '/') assert (asgi_span.data['http']['method'] == 'GET') assert (asgi_span.data['http']['status'] == 200) assert (asgi_span.data['http']['error'] is None) assert (asgi_span.data['http']['params'] is None) def test_path_templates(server): result = None with tracer.start_active_span('test'): result = requests.get(testenv["starlette_server"] + '/users/1') assert(result) spans = tracer.recorder.queued_spans() assert len(spans) == 3 span_filter = lambda span: span.n == "sdk" and span.data['sdk']['name'] == 'test' test_span = get_first_span_by_filter(spans, span_filter) assert(test_span) span_filter = lambda span: span.n == "urllib3" urllib3_span = get_first_span_by_filter(spans, span_filter) assert(urllib3_span) span_filter = lambda span: span.n == 'asgi' asgi_span = get_first_span_by_filter(spans, span_filter) assert(asgi_span) assert(test_span.t == urllib3_span.t == asgi_span.t) assert(asgi_span.p == urllib3_span.s) assert(urllib3_span.p == test_span.s) assert "X-INSTANA-T" in result.headers assert result.headers["X-INSTANA-T"] == asgi_span.t assert "X-INSTANA-S" in result.headers assert result.headers["X-INSTANA-S"] == asgi_span.s assert "X-INSTANA-L" in result.headers assert result.headers["X-INSTANA-L"] == '1' assert "Server-Timing" in result.headers assert result.headers["Server-Timing"] == ("intid;desc=%s" % asgi_span.t) assert(asgi_span.ec == None) assert (asgi_span.data['http']['host'] == '127.0.0.1') assert (asgi_span.data['http']['path'] == '/users/1') assert (asgi_span.data['http']['path_tpl'] == '/users/{user_id}') assert (asgi_span.data['http']['method'] == 'GET') assert (asgi_span.data['http']['status'] == 200) assert (asgi_span.data['http']['error'] is None) assert (asgi_span.data['http']['params'] is None) def test_secret_scrubbing(server): result = None with tracer.start_active_span('test'): result = requests.get(testenv["starlette_server"] + '/?secret=shhh') assert(result) spans = tracer.recorder.queued_spans() assert len(spans) == 3 span_filter = lambda span: span.n == "sdk" and span.data['sdk']['name'] == 'test' test_span = get_first_span_by_filter(spans, span_filter) assert(test_span) span_filter = lambda span: span.n == "urllib3" urllib3_span = get_first_span_by_filter(spans, span_filter) assert(urllib3_span) span_filter = lambda span: span.n == 'asgi' asgi_span = get_first_span_by_filter(spans, span_filter) assert(asgi_span) assert(test_span.t == urllib3_span.t == asgi_span.t) assert(asgi_span.p == urllib3_span.s) assert(urllib3_span.p == test_span.s) assert "X-INSTANA-T" in result.headers assert result.headers["X-INSTANA-T"] == asgi_span.t assert "X-INSTANA-S" in result.headers assert result.headers["X-INSTANA-S"] == asgi_span.s assert "X-INSTANA-L" in result.headers assert result.headers["X-INSTANA-L"] == '1' assert "Server-Timing" in result.headers assert result.headers["Server-Timing"] == ("intid;desc=%s" % asgi_span.t) assert(asgi_span.ec == None) assert (asgi_span.data['http']['host'] == '127.0.0.1') assert (asgi_span.data['http']['path'] == '/') assert (asgi_span.data['http']['path_tpl'] == '/') assert (asgi_span.data['http']['method'] == 'GET') assert (asgi_span.data['http']['status'] == 200) assert (asgi_span.data['http']['error'] is None) assert (asgi_span.data['http']['params'] == 'secret=<redacted>') def test_synthetic_request(server): request_headers = { 'X-INSTANA-SYNTHETIC': '1' } with tracer.start_active_span('test'): result = requests.get(testenv["starlette_server"] + '/', headers=request_headers) assert(result) spans = tracer.recorder.queued_spans() assert len(spans) == 3 span_filter = lambda span: span.n == "sdk" and span.data['sdk']['name'] == 'test' test_span = get_first_span_by_filter(spans, span_filter) assert(test_span) span_filter = lambda span: span.n == "urllib3" urllib3_span = get_first_span_by_filter(spans, span_filter) assert(urllib3_span) span_filter = lambda span: span.n == 'asgi' asgi_span = get_first_span_by_filter(spans, span_filter) assert(asgi_span) assert(test_span.t == urllib3_span.t == asgi_span.t) assert(asgi_span.p == urllib3_span.s) assert(urllib3_span.p == test_span.s) assert "X-INSTANA-T" in result.headers assert result.headers["X-INSTANA-T"] == asgi_span.t assert "X-INSTANA-S" in result.headers assert result.headers["X-INSTANA-S"] == asgi_span.s assert "X-INSTANA-L" in result.headers assert result.headers["X-INSTANA-L"] == '1' assert "Server-Timing" in result.headers assert result.headers["Server-Timing"] == ("intid;desc=%s" % asgi_span.t) assert(asgi_span.ec == None) assert (asgi_span.data['http']['host'] == '127.0.0.1') assert (asgi_span.data['http']['path'] == '/') assert (asgi_span.data['http']['path_tpl'] == '/') assert (asgi_span.data['http']['method'] == 'GET') assert (asgi_span.data['http']['status'] == 200) assert (asgi_span.data['http']['error'] is None) assert (asgi_span.data['http']['params'] is None) assert(asgi_span.sy) assert(urllib3_span.sy is None) assert(test_span.sy is None) def test_custom_header_capture(server): from instana.singletons import agent # The background Starlette server is pre-configured with custom headers to capture request_headers = { 'X-Capture-This': 'this', 'X-Capture-That': 'that' } with tracer.start_active_span('test'): result = requests.get(testenv["starlette_server"] + '/', headers=request_headers) assert(result) spans = tracer.recorder.queued_spans() assert len(spans) == 3 span_filter = lambda span: span.n == "sdk" and span.data['sdk']['name'] == 'test' test_span = get_first_span_by_filter(spans, span_filter) assert(test_span) span_filter = lambda span: span.n == "urllib3" urllib3_span = get_first_span_by_filter(spans, span_filter) assert(urllib3_span) span_filter = lambda span: span.n == 'asgi' asgi_span = get_first_span_by_filter(spans, span_filter) assert(asgi_span) assert(test_span.t == urllib3_span.t == asgi_span.t) assert(asgi_span.p == urllib3_span.s) assert(urllib3_span.p == test_span.s) assert "X-INSTANA-T" in result.headers assert result.headers["X-INSTANA-T"] == asgi_span.t assert "X-INSTANA-S" in result.headers assert result.headers["X-INSTANA-S"] == asgi_span.s assert "X-INSTANA-L" in result.headers assert result.headers["X-INSTANA-L"] == '1' assert "Server-Timing" in result.headers assert result.headers["Server-Timing"] == ("intid;desc=%s" % asgi_span.t) assert(asgi_span.ec == None) assert (asgi_span.data['http']['host'] == '127.0.0.1') assert (asgi_span.data['http']['path'] == '/') assert (asgi_span.data['http']['path_tpl'] == '/') assert (asgi_span.data['http']['method'] == 'GET') assert (asgi_span.data['http']['status'] == 200) assert (asgi_span.data['http']['error'] is None) assert (asgi_span.data['http']['params'] is None) assert ("X-Capture-This" in asgi_span.data["http"]["header"]) assert ("this" == asgi_span.data["http"]["header"]["X-Capture-This"]) assert ("X-Capture-That" in asgi_span.data["http"]["header"]) assert ("that" == asgi_span.data["http"]["header"]["X-Capture-That"])

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1

0

1

0

null

0

1

0

8

728761f13eaa3f50ae86b32e290e3d8de02bd964

10,039

py

Python

imblearn/under_sampling/tests/test_instance_hardness_threshold.py

christophe-rannou/imbalanced-learn

c3f3b0fd9815e206ea63f3f11728f097608bf580

[ "MIT" ]

null

imblearn/under_sampling/tests/test_instance_hardness_threshold.py

christophe-rannou/imbalanced-learn

c3f3b0fd9815e206ea63f3f11728f097608bf580

[ "MIT" ]

null

imblearn/under_sampling/tests/test_instance_hardness_threshold.py

christophe-rannou/imbalanced-learn

c3f3b0fd9815e206ea63f3f11728f097608bf580

[ "MIT" ]

null

"""Test the module .""" from __future__ import print_function import numpy as np from numpy.testing import (assert_array_equal, assert_equal, assert_raises, assert_raises_regex) from sklearn.ensemble import GradientBoostingClassifier from imblearn.under_sampling import InstanceHardnessThreshold # Generate a global dataset to use RND_SEED = 0 X = np.array([[-0.3879569, 0.6894251], [-0.09322739, 1.28177189], [-0.77740357, 0.74097941], [0.91542919, -0.65453327], [-0.03852113, 0.40910479], [-0.43877303, 1.07366684], [-0.85795321, 0.82980738], [-0.18430329, 0.52328473], [-0.30126957, -0.66268378], [-0.65571327, 0.42412021], [-0.28305528, 0.30284991], [0.20246714, -0.34727125], [1.06446472, -1.09279772], [0.30543283, -0.02589502], [-0.00717161, 0.00318087]]) Y = np.array([0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0]) ESTIMATOR = 'gradient-boosting' def test_iht_wrong_estimator(): # Resample the data ratio = 0.7 est = 'rnd' iht = InstanceHardnessThreshold( estimator=est, ratio=ratio, random_state=RND_SEED) assert_raises(NotImplementedError, iht.fit_sample, X, Y) def test_iht_init(): # Define a ratio ratio = 'auto' iht = InstanceHardnessThreshold( ESTIMATOR, ratio=ratio, random_state=RND_SEED) assert_equal(iht.ratio, ratio) assert_equal(iht.random_state, RND_SEED) def test_iht_fit_sample(): # Resample the data iht = InstanceHardnessThreshold(ESTIMATOR, random_state=RND_SEED) X_resampled, y_resampled = iht.fit_sample(X, Y) X_gt = np.array([[-0.3879569, 0.6894251], [-0.09322739, 1.28177189], [-0.77740357, 0.74097941], [0.91542919, -0.65453327], [-0.43877303, 1.07366684], [-0.85795321, 0.82980738], [-0.18430329, 0.52328473], [-0.65571327, 0.42412021], [-0.28305528, 0.30284991], [1.06446472, -1.09279772], [0.30543283, -0.02589502], [-0.00717161, 0.00318087]]) y_gt = np.array([0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0]) assert_array_equal(X_resampled, X_gt) assert_array_equal(y_resampled, y_gt) def test_iht_fit_sample_with_indices(): # Resample the data iht = InstanceHardnessThreshold( ESTIMATOR, return_indices=True, random_state=RND_SEED) X_resampled, y_resampled, idx_under = iht.fit_sample(X, Y) X_gt = np.array([[-0.3879569, 0.6894251], [-0.09322739, 1.28177189], [-0.77740357, 0.74097941], [0.91542919, -0.65453327], [-0.43877303, 1.07366684], [-0.85795321, 0.82980738], [-0.18430329, 0.52328473], [-0.65571327, 0.42412021], [-0.28305528, 0.30284991], [1.06446472, -1.09279772], [0.30543283, -0.02589502], [-0.00717161, 0.00318087]]) y_gt = np.array([0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0]) idx_gt = np.array([0, 1, 2, 3, 5, 6, 7, 9, 10, 12, 13, 14]) assert_array_equal(X_resampled, X_gt) assert_array_equal(y_resampled, y_gt) assert_array_equal(idx_under, idx_gt) def test_iht_fit_sample_half(): # Resample the data ratio = 0.7 iht = InstanceHardnessThreshold( ESTIMATOR, ratio=ratio, random_state=RND_SEED) X_resampled, y_resampled = iht.fit_sample(X, Y) X_gt = np.array([[-0.3879569, 0.6894251], [-0.09322739, 1.28177189], [-0.77740357, 0.74097941], [0.91542919, -0.65453327], [-0.03852113, 0.40910479], [-0.43877303, 1.07366684], [-0.85795321, 0.82980738], [-0.18430329, 0.52328473], [-0.30126957, -0.66268378], [-0.65571327, 0.42412021], [-0.28305528, 0.30284991], [1.06446472, -1.09279772], [0.30543283, -0.02589502], [-0.00717161, 0.00318087]]) y_gt = np.array([0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0]) assert_array_equal(X_resampled, X_gt) assert_array_equal(y_resampled, y_gt) def test_iht_fit_sample_knn(): # Resample the data est = 'knn' iht = InstanceHardnessThreshold(est, random_state=RND_SEED) X_resampled, y_resampled = iht.fit_sample(X, Y) X_gt = np.array([[-0.3879569, 0.6894251], [-0.09322739, 1.28177189], [-0.77740357, 0.74097941], [0.91542919, -0.65453327], [-0.43877303, 1.07366684], [-0.85795321, 0.82980738], [-0.30126957, -0.66268378], [-0.65571327, 0.42412021], [0.20246714, -0.34727125], [1.06446472, -1.09279772], [0.30543283, -0.02589502], [-0.00717161, 0.00318087]]) y_gt = np.array([0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0]) assert_array_equal(X_resampled, X_gt) assert_array_equal(y_resampled, y_gt) def test_iht_fit_sample_decision_tree(): # Resample the data est = 'decision-tree' iht = InstanceHardnessThreshold(est, random_state=RND_SEED) X_resampled, y_resampled = iht.fit_sample(X, Y) X_gt = np.array([[-0.3879569, 0.6894251], [-0.09322739, 1.28177189], [-0.77740357, 0.74097941], [0.91542919, -0.65453327], [-0.43877303, 1.07366684], [-0.85795321, 0.82980738], [-0.18430329, 0.52328473], [-0.65571327, 0.42412021], [-0.28305528, 0.30284991], [1.06446472, -1.09279772], [0.30543283, -0.02589502], [-0.00717161, 0.00318087]]) y_gt = np.array([0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0]) assert_array_equal(X_resampled, X_gt) assert_array_equal(y_resampled, y_gt) def test_iht_fit_sample_random_forest(): # Resample the data est = 'random-forest' iht = InstanceHardnessThreshold(est, random_state=RND_SEED) X_resampled, y_resampled = iht.fit_sample(X, Y) X_gt = np.array([[-0.3879569, 0.6894251], [-0.09322739, 1.28177189], [-0.77740357, 0.74097941], [0.91542919, -0.65453327], [-0.03852113, 0.40910479], [-0.43877303, 1.07366684], [-0.85795321, 0.82980738], [-0.18430329, 0.52328473], [-0.65571327, 0.42412021], [-0.28305528, 0.30284991], [1.06446472, -1.09279772], [0.30543283, -0.02589502], [-0.00717161, 0.00318087]]) y_gt = np.array([0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 0]) assert_array_equal(X_resampled, X_gt) assert_array_equal(y_resampled, y_gt) def test_iht_fit_sample_adaboost(): # Resample the data est = 'adaboost' iht = InstanceHardnessThreshold(est, random_state=RND_SEED) X_resampled, y_resampled = iht.fit_sample(X, Y) X_gt = np.array([[-0.3879569, 0.6894251], [-0.09322739, 1.28177189], [-0.77740357, 0.74097941], [0.91542919, -0.65453327], [-0.43877303, 1.07366684], [-0.85795321, 0.82980738], [-0.18430329, 0.52328473], [-0.65571327, 0.42412021], [-0.28305528, 0.30284991], [1.06446472, -1.09279772], [0.30543283, -0.02589502], [-0.00717161, 0.00318087]]) y_gt = np.array([0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0]) assert_array_equal(X_resampled, X_gt) assert_array_equal(y_resampled, y_gt) def test_iht_fit_sample_gradient_boosting(): # Resample the data est = 'gradient-boosting' iht = InstanceHardnessThreshold(est, random_state=RND_SEED) X_resampled, y_resampled = iht.fit_sample(X, Y) X_gt = np.array([[-0.3879569, 0.6894251], [-0.09322739, 1.28177189], [-0.77740357, 0.74097941], [0.91542919, -0.65453327], [-0.43877303, 1.07366684], [-0.85795321, 0.82980738], [-0.18430329, 0.52328473], [-0.65571327, 0.42412021], [-0.28305528, 0.30284991], [1.06446472, -1.09279772], [0.30543283, -0.02589502], [-0.00717161, 0.00318087]]) y_gt = np.array([0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0]) assert_array_equal(X_resampled, X_gt) assert_array_equal(y_resampled, y_gt) def test_iht_fit_sample_linear_svm(): # Resample the data est = 'linear-svm' iht = InstanceHardnessThreshold(est, random_state=RND_SEED) X_resampled, y_resampled = iht.fit_sample(X, Y) X_gt = np.array([[-0.3879569, 0.6894251], [-0.09322739, 1.28177189], [-0.77740357, 0.74097941], [0.91542919, -0.65453327], [-0.03852113, 0.40910479], [-0.43877303, 1.07366684], [-0.18430329, 0.52328473], [-0.65571327, 0.42412021], [-0.28305528, 0.30284991], [1.06446472, -1.09279772], [0.30543283, -0.02589502], [-0.00717161, 0.00318087]]) y_gt = np.array([0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0]) assert_array_equal(X_resampled, X_gt) assert_array_equal(y_resampled, y_gt) def test_iht_fit_sample_class_obj(): # Resample the data est = GradientBoostingClassifier(random_state=RND_SEED) iht = InstanceHardnessThreshold(estimator=est, random_state=RND_SEED) X_resampled, y_resampled = iht.fit_sample(X, Y) X_gt = np.array([[-0.3879569, 0.6894251], [-0.09322739, 1.28177189], [-0.77740357, 0.74097941], [0.91542919, -0.65453327], [-0.43877303, 1.07366684], [-0.85795321, 0.82980738], [-0.18430329, 0.52328473], [-0.65571327, 0.42412021], [-0.28305528, 0.30284991], [1.06446472, -1.09279772], [0.30543283, -0.02589502], [-0.00717161, 0.00318087]]) y_gt = np.array([0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0]) assert_array_equal(X_resampled, X_gt) assert_array_equal(y_resampled, y_gt) def test_iht_fit_sample_wrong_class_obj(): # Resample the data from sklearn.cluster import KMeans est = KMeans() iht = InstanceHardnessThreshold(estimator=est, random_state=RND_SEED) assert_raises_regex(ValueError, "Invalid parameter `estimator`", iht.fit_sample, X, Y)

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null

0

9

729347be5d213303fefb82398cd52a607b7ac2e1

11,053

py

Python

quad_logger/scripts/bag_reader.py

robomechanics/quad-software

89154df18e98162249f38301b669df27ee595220

[ "MIT" ]

20

2021-12-05T03:40:28.000Z

2022-03-30T02:53:56.000Z

quad_logger/scripts/bag_reader.py

robomechanics/rml-spirit-firmware

89154df18e98162249f38301b669df27ee595220

[ "MIT" ]

101

2020-09-02T00:36:25.000Z

2021-12-04T23:40:32.000Z

spirit_logger/scripts/bag_reader.py

robomechanics/spirit-software

b0a3d8defd3abe06406de6573212bab4a2eb769a

[ "MIT" ]

2

2021-12-06T03:20:15.000Z

2022-02-20T04:19:41.000Z

#!/usr/bin/python import rosbag import rospy import yaml import numpy as np from tf.transformations import euler_from_quaternion topic_type_dict = {} msg_types = ['nav_msgs/Odometry', 'sensor_msgs/Imu', 'geometry_msgs/PoseStamped', 'quadrotor_msgs/PositionCommand', 'quadrotor_msgs/TRPYCommand', 'quadrotor_msgs/SO3Command', 'sensor_msgs/Range', 'geometry_msgs/PoseWithCovarianceStamped'] var_types = ['x', 'y', 'z', 'vx', 'vy', 'vz', 'acc_x', 'acc_y', 'acc_z', 'roll', 'pitch', 'yaw', 'ang_vel_x', 'ang_vel_y', 'ang_vel_z'] def read_bag(bagfile): global inbag inbag = rosbag.Bag(bagfile, 'r') return read_topic_type() def read_topic_type(): info_dict = yaml.load(inbag._get_yaml_info()) for x in info_dict['topics']: topic_type_dict[x['topic']] = x['type'] return topic_type_dict def read_msg(topics): data = {} if len(topics) > 0: for topic, msg, type in inbag.read_messages(): if topics.count(topic): if topic_type_dict[topic] == 'nav_msgs/Odometry': data = update_odometry(data, topic, msg) elif topic_type_dict[topic] == 'sensor_msgs/Imu': data = update_imu(data, topic, msg) elif topic_type_dict[topic] == 'geometry_msgs/PoseStamped': data = update_pose(data, topic, msg.pose, msg.header) elif topic_type_dict[topic] == 'quadrotor_msgs/PositionCommand': data = update_pose_cmd(data, topic, msg) elif topic_type_dict[topic] == 'geometry_msgs/PoseWithCovarianceStamped': data = update_pose(data, topic, msg.pose.pose, msg.header) return data def update_odometry(data, topic, msg): quat = [msg.pose.pose.orientation.x, msg.pose.pose.orientation.y, msg.pose.pose.orientation.z, msg.pose.pose.orientation.w] [r, p, y] = euler_from_quaternion(quat) if topic in data: data[topic]['x'] = np.append(data[topic]['x'], msg.pose.pose.position.x) data[topic]['y'] = np.append(data[topic]['y'], msg.pose.pose.position.y) data[topic]['z'] = np.append(data[topic]['z'], msg.pose.pose.position.z) data[topic]['vx'] = np.append(data[topic]['vx'], msg.twist.twist.linear.x) data[topic]['vy'] = np.append(data[topic]['vy'], msg.twist.twist.linear.y) data[topic]['vz'] = np.append(data[topic]['vz'], msg.twist.twist.linear.z) data[topic]['roll'] = np.append(data[topic]['roll'], r) data[topic]['pitch'] = np.append(data[topic]['pitch'], p) data[topic]['yaw'] = np.append(data[topic]['yaw'], y) data[topic]['ang_vel_x'] = np.append(data[topic]['ang_vel_x'], msg.twist.twist.angular.x) data[topic]['ang_vel_y'] = np.append(data[topic]['ang_vel_y'], msg.twist.twist.angular.y) data[topic]['ang_vel_z'] = np.append(data[topic]['ang_vel_z'], msg.twist.twist.angular.z) data[topic]['t'] = np.append(data[topic]['t'], msg.header.stamp.to_sec()) else: data[topic] = {} data[topic]['x'] = np.array([msg.pose.pose.position.x]) data[topic]['y'] = np.array([msg.pose.pose.position.y]) data[topic]['z'] = np.array([msg.pose.pose.position.z]) data[topic]['vx'] = np.array([msg.twist.twist.linear.x]) data[topic]['vy'] = np.array([msg.twist.twist.linear.y]) data[topic]['vz'] = np.array([msg.twist.twist.linear.z]) data[topic]['ang_vel_x'] = np.array([msg.twist.twist.angular.x]) data[topic]['ang_vel_y'] = np.array([msg.twist.twist.angular.y]) data[topic]['ang_vel_z'] = np.array([msg.twist.twist.angular.z]) data[topic]['roll'] = np.array([r]) data[topic]['pitch'] = np.array([p]) data[topic]['yaw'] = np.array([y]) data[topic]['t'] = np.array([msg.header.stamp.to_sec()]) return data def update_pose(data, topic, msg, header): quat = [msg.orientation.x, msg.orientation.y, msg.orientation.z, msg.orientation.w] [r, p, y] = euler_from_quaternion(quat) if topic in data: data[topic]['x'] = np.append(data[topic]['x'], msg.position.x) data[topic]['y'] = np.append(data[topic]['y'], msg.position.y) data[topic]['z'] = np.append(data[topic]['z'], msg.position.z) data[topic]['roll'] = np.append(data[topic]['roll'], r) data[topic]['pitch'] = np.append(data[topic]['pitch'], p) data[topic]['yaw'] = np.append(data[topic]['yaw'], y) data[topic]['t'] = np.append(data[topic]['t'], header.stamp.to_sec()) else: data[topic] = {} data[topic]['x'] = np.array([msg.position.x]) data[topic]['y'] = np.array([msg.position.y]) data[topic]['z'] = np.array([msg.position.z]) data[topic]['roll'] = np.array([r]) data[topic]['pitch'] = np.array([p]) data[topic]['yaw'] = np.array([y]) data[topic]['t'] = np.array([header.stamp.to_sec()]) return data def update_imu(data, topic, msg): quat = [msg.orientation.x, msg.orientation.y, msg.orientation.z, msg.orientation.w] [r, p, y] = euler_from_quaternion(quat) if topic in data: data[topic]['acc_x'] = np.append(data[topic]['acc_x'], msg.linear_acceleration.x) data[topic]['acc_y'] = np.append(data[topic]['acc_y'], msg.linear_acceleration.y) data[topic]['acc_z'] = np.append(data[topic]['acc_z'], msg.linear_acceleration.z) data[topic]['ang_vel_x'] = np.append(data[topic]['ang_vel_x'], msg.angular_velocity.x) data[topic]['ang_vel_y'] = np.append(data[topic]['ang_vel_y'], msg.angular_velocity.y) data[topic]['ang_vel_z'] = np.append(data[topic]['ang_vel_z'], msg.angular_velocity.z) data[topic]['roll'] = np.append(data[topic]['roll'], r) data[topic]['pitch'] = np.append(data[topic]['pitch'], p) data[topic]['yaw'] = np.append(data[topic]['yaw'], y) data[topic]['t'] = np.append(data[topic]['t'], msg.header.stamp.to_sec()) else: data[topic] = {} data[topic]['acc_x'] = np.array([msg.linear_acceleration.x]) data[topic]['acc_y'] = np.array([msg.linear_acceleration.y]) data[topic]['acc_z'] = np.array([msg.linear_acceleration.z]) data[topic]['ang_vel_x'] = np.array([msg.angular_velocity.x]) data[topic]['ang_vel_y'] = np.array([msg.angular_velocity.y]) data[topic]['ang_vel_z'] = np.array([msg.angular_velocity.z]) data[topic]['roll'] = np.array([r]) data[topic]['pitch'] = np.array([p]) data[topic]['yaw'] = np.array([y]) data[topic]['t'] = np.array([msg.header.stamp.to_sec()]) return data def update_pose_cmd(data, topic, msg): if topic in data: data[topic]['x'] = np.append(data[topic]['x'], msg.position.x) data[topic]['y'] = np.append(data[topic]['y'], msg.position.y) data[topic]['z'] = np.append(data[topic]['z'], msg.position.z) data[topic]['vx'] = np.append(data[topic]['vx'], msg.velocity.x) data[topic]['vy'] = np.append(data[topic]['vy'], msg.velocity.y) data[topic]['vz'] = np.append(data[topic]['vz'], msg.velocity.z) data[topic]['acc_x'] = np.append(data[topic]['acc_x'], msg.acceleration.x) data[topic]['acc_y'] = np.append(data[topic]['acc_y'], msg.acceleration.y) data[topic]['acc_z'] = np.append(data[topic]['acc_z'], msg.acceleration.z) data[topic]['yaw'] = np.append(data[topic]['yaw'], msg.yaw) data[topic]['t'] = np.append(data[topic]['t'], msg.header.stamp.to_sec()) else: data[topic] = {} data[topic]['x'] = np.array([msg.position.x]) data[topic]['y'] = np.array([msg.position.y]) data[topic]['z'] = np.array([msg.position.z]) data[topic]['vx'] = np.array([msg.velocity.x]) data[topic]['vy'] = np.array([msg.velocity.y]) data[topic]['vz'] = np.array([msg.velocity.z]) data[topic]['acc_x'] = np.array([msg.acceleration.x]) data[topic]['acc_y'] = np.array([msg.acceleration.y]) data[topic]['acc_z'] = np.array([msg.acceleration.z]) data[topic]['yaw'] = np.array([msg.yaw]) data[topic]['t'] = np.array([msg.header.stamp.to_sec()]) return data def update_trpy_cmd(data, topic, msg): if topic in data: data[topic]['roll'] = np.append(data[topic]['roll'], msg.roll) data[topic]['pitch'] = np.append(data[topic]['pitch'], msg.pitch) data[topic]['yaw'] = np.append(data[topic]['yaw'], msg.yaw) data[topic]['t'] = np.append(data[topic]['t'], msg.header.stamp.to_sec()) else: data[topic] = {} data[topic]['roll'] = np.array([msg.roll]) data[topic]['pitch'] = np.array([msg.pitch]) data[topic]['yaw'] = np.array([msg.yaw]) data[topic]['t'] = np.array([msg.header.stamp.to_sec()]) return data def update_so3_cmd(data, topic, msg): quat = [msg.orientation.x, msg.orientation.y, msg.orientation.z, msg.orientation.w] [r, p, y] = euler_from_quaternion(quat) if topic in data: data[topic]['yaw'] = np.append(data[topic]['yaw'], y) data[topic]['ang_vel_x'] = np.append(data[topic]['ang_vel_x'], msg.angular_velocity.x) data[topic]['ang_vel_y'] = np.append(data[topic]['ang_vel_y'], msg.angular_velocity.y) data[topic]['ang_vel_z'] = np.append(data[topic]['ang_vel_z'], msg.angular_velocity.z) data[topic]['t'] = np.append(data[topic]['t'], msg.header.stamp.to_sec()) data[topic]['roll'] = np.append(data[topic]['roll'], r) data[topic]['pitch'] = np.append(data[topic]['pitch'], p) data[topic]['yaw'] = np.append(data[topic]['yaw'], y) else: data[topic] = {} data[topic]['yaw'] = np.array([y]) data[topic]['ang_vel_x'] = np.array(msg.angular_velocity.x) data[topic]['ang_vel_y'] = np.array(msg.angular_velocity.y) data[topic]['ang_vel_z'] = np.array(msg.angular_velocity.z) data[topic]['t'] = np.array([msg.header.stamp.to_sec()]) data[topic]['roll'] = np.array([r]) data[topic]['pitch'] = np.array([p]) data[topic]['yaw'] = np.array([y]) return data def update_range(data, topic, msg): if topic in data: data[topic]['z'] = np.append(data[topic]['z'], msg.range) data[topic]['t'] = np.append(data[topic]['t'], msg.header.stamp.to_sec()) else: data[topic] = {} data[topic]['z'] = np.array([msg.range]) data[topic]['t'] = np.array([msg.header.stamp.to_sec()]) return data if __name__ == "__main__": read_topic_type()

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72df619b4e2e824a1bf71882f0f25e3915576829

68,580

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Python

benchmarks/SimResults/_bigLittle_hrrs_splash_tugberk_ml/ratio_based_results/cmp_fft/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

benchmarks/SimResults/_bigLittle_hrrs_splash_tugberk_ml/ratio_based_results/cmp_fft/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

benchmarks/SimResults/_bigLittle_hrrs_splash_tugberk_ml/ratio_based_results/cmp_fft/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

power = {'BUSES': {'Area': 1.33155, 'Bus/Area': 1.33155, 'Bus/Gate Leakage': 0.00662954, 'Bus/Peak Dynamic': 0.0, 'Bus/Runtime Dynamic': 0.0, 'Bus/Subthreshold Leakage': 0.0691322, 'Bus/Subthreshold Leakage with power gating': 0.0259246, 'Gate Leakage': 0.00662954, 'Peak Dynamic': 0.0, 'Runtime Dynamic': 0.0, 'Subthreshold Leakage': 0.0691322, 'Subthreshold Leakage with power gating': 0.0259246}, 'Core': [{'Area': 32.6082, 'Execution Unit/Area': 8.2042, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.122614, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.298995, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.78419, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.122718, 'Execution Unit/Instruction Scheduler/Area': 2.17927, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.608634, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 1.05393, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.604461, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 2.26703, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.481382, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 7.16826, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.14815, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0220635, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.200489, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.163173, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.34864, 'Execution Unit/Register Files/Runtime Dynamic': 0.185236, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.518056, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 1.24113, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155, 'Execution Unit/Runtime Dynamic': 4.39777, 'Execution Unit/Subthreshold Leakage': 1.83518, 'Execution Unit/Subthreshold Leakage with power gating': 0.709678, 'Gate Leakage': 0.372997, 'Instruction Fetch Unit/Area': 5.86007, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00301262, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00301262, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00260934, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.0010021, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00234399, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.0109786, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0294082, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0590479, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.156862, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.498823, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.532774, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 8.96874, 'Instruction Fetch Unit/Runtime Dynamic': 1.22885, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932587, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.105048, 'L2/Runtime Dynamic': 0.041173, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80969, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 4.73164, 'Load Store Unit/Data Cache/Runtime Dynamic': 1.78899, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0351387, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.113056, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.113056, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 5.26769, 'Load Store Unit/Runtime Dynamic': 2.4596, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.278777, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.557553, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold Leakage': 0.591622, 'Load Store Unit/Subthreshold Leakage with power gating': 0.283406, 'Memory Management Unit/Area': 0.434579, 'Memory Management Unit/Dtlb/Area': 0.0879726, 'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729, 'Memory Management Unit/Dtlb/Peak Dynamic': 0.0989388, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.100513, 'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699, 'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485, 'Memory Management Unit/Gate Leakage': 0.00813591, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.399995, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0817832, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.729539, 'Memory Management Unit/Runtime Dynamic': 0.182297, 'Memory Management Unit/Subthreshold Leakage': 0.0769113, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462, 'Peak Dynamic': 26.801, 'Renaming Unit/Area': 0.369768, 'Renaming Unit/FP Front End RAT/Area': 0.168486, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.516862, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0437281, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925, 'Renaming Unit/Free List/Area': 0.0414755, 'Renaming Unit/Free List/Gate Leakage': 4.15911e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0401324, 'Renaming Unit/Free List/Runtime Dynamic': 0.0373417, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000670426, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000377987, 'Renaming Unit/Gate Leakage': 0.00863632, 'Renaming Unit/Int Front End RAT/Area': 0.114751, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.86945, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.308411, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781, 'Renaming Unit/Peak Dynamic': 4.56169, 'Renaming Unit/Runtime Dynamic': 0.862615, 'Renaming Unit/Subthreshold Leakage': 0.070483, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779, 'Runtime Dynamic': 9.1723, 'Subthreshold Leakage': 6.21877, 'Subthreshold Leakage with power gating': 2.58311}, {'Area': 32.0201, 'Execution Unit/Area': 7.68434, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.0634888, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.252556, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution 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'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0156043, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0589979, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0831172, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 5.28697, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 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'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80901, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 3.11633, 'Load Store Unit/Data Cache/Runtime Dynamic': 0.919693, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0350888, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.0607971, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.060797, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 3.40343, 'Load Store Unit/Runtime Dynamic': 1.28032, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store 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'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.0614842, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.250981, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.391445, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.120359, 'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433, 'Execution Unit/Instruction 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'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.177095, 'Execution Unit/Register Files/Runtime Dynamic': 0.0958299, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.232667, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.565191, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543, 'Execution Unit/Runtime Dynamic': 2.25, 'Execution Unit/Subthreshold Leakage': 1.79543, 'Execution Unit/Subthreshold Leakage with power gating': 0.688821, 'Gate Leakage': 0.368936, 'Instruction Fetch Unit/Area': 5.85939, 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f40dcc7769cac411e9b4292d9e5c8381e561536c

142

py

Python

discord/ext/commands/cog.py

kuzaku-developers/disnake

61cc1ad4c2bafd39726a1447c85f7e469e41af10

[ "MIT" ]

null

discord/ext/commands/cog.py

kuzaku-developers/disnake

61cc1ad4c2bafd39726a1447c85f7e469e41af10

[ "MIT" ]

null

discord/ext/commands/cog.py

kuzaku-developers/disnake

61cc1ad4c2bafd39726a1447c85f7e469e41af10

[ "MIT" ]

null

from disnake.ext.commands.cog import * from disnake.ext.commands.cog import __dict__ as __original_dict__ locals().update(__original_dict__)

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f425c5a86246381536fc61c0082bfebbc93e4460

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py

Python

wilson/wcxf/converters/SMEFTsim_param_card_elements.py

jackypheno/wilson

81c905c7c1e4cf26b5d5a1a2b7b316f1f4f9d285

[ "MIT" ]

24

2018-04-16T15:01:39.000Z

2022-01-26T07:16:22.000Z

wilson/wcxf/converters/SMEFTsim_param_card_elements.py

jackypheno/wilson

81c905c7c1e4cf26b5d5a1a2b7b316f1f4f9d285

[ "MIT" ]

85

2018-04-27T08:17:00.000Z

2022-02-22T16:47:14.000Z

wilson/wcxf/converters/SMEFTsim_param_card_elements.py

jackypheno/wilson

81c905c7c1e4cf26b5d5a1a2b7b316f1f4f9d285

[ "MIT" ]

17

2018-04-27T07:59:35.000Z

2022-02-09T22:46:05.000Z

preamble_A = ''' ###################################################################### ## PARAM_CARD FOR SMEFTSIM SET A v2.0 - FLAVOR_GENERAL ALPHA_INPUTS ##### ###################################################################### ################################### ## INFORMATION FOR SMINPUTS ################################### Block SMINPUTS 1 7.815553e-03 # aEW 2 1.166379e-05 # Gf 3 1.181000e-01 # aS ################################### ## INFORMATION FOR MASS ################################### Block MASS 1 4.700000e-03 # MD 2 2.200000e-03 # MU 3 9.600000e-02 # MS 4 1.280000e+00 # MC 5 4.180000e+00 # MB 6 1.732000e+02 # MT 11 5.110000e-04 # Me 13 1.056600e-01 # MMU 15 1.777000e+00 # MTA 23 9.118760e+01 # MZ 25 1.250900e+02 # MH ## Not dependent paramater. ## Those values should be edited following analytical the ## analytical expression. Some generator could simply ignore ## those values and use the analytical expression 22 0.000000 # a : 0.0 24 73.187688 # W+ : dMW + MW0 21 0.000000 # g : 0.0 9000001 0.000000 # ghA : 0.0 9000003 73.187688 # ghWp : dMW + MW0 9000004 73.187688 # ghWm : dMW + MW0 82 0.000000 # ghG : 0.0 12 0.000000 # ve : 0.0 14 0.000000 # vm : 0.0 16 0.000000 # vt : 0.0 251 73.187688 # G+ : dMW + MW0 9000002 91.187600 # ghZ : MZ 250 91.187600 # G0 : MZ ################################### ## INFORMATION FOR DECAY ################################### DECAY 6 1.508336e+00 DECAY 23 2.495200e+00 DECAY 24 2.085000e+00 DECAY 25 4.070000e-03 ## Not dependent paramater. ## Those values should be edited following analytical the ## analytical expression. Some generator could simply ignore ## those values and use the analytical expression DECAY 22 0.000000 # a : 0.0 DECAY 21 0.000000 # g : 0.0 DECAY 9000001 0.000000 # ghA : 0.0 DECAY 82 0.000000 # ghG : 0.0 DECAY 12 0.000000 # ve : 0.0 DECAY 14 0.000000 # vm : 0.0 DECAY 16 0.000000 # vt : 0.0 DECAY 11 0.000000 # e- : 0.0 DECAY 13 0.000000 # mu- : 0.0 DECAY 15 0.000000 # ta- : 0.0 DECAY 2 0.000000 # u : 0.0 DECAY 4 0.000000 # c : 0.0 DECAY 1 0.000000 # d : 0.0 DECAY 3 0.000000 # s : 0.0 DECAY 5 0.000000 # b : 0.0 DECAY 9000002 2.495200 # ghZ : WZ DECAY 9000003 2.085000 # ghWp : WW DECAY 9000004 2.085000 # ghWm : WW DECAY 250 2.495200 # G0 : WZ DECAY 251 2.085000 # G+ : WW ################################### ## INFORMATION FOR CKMBLOCK ################################### Block CKMBLOCK 1 2.277360e-01 # cabi 2 2.250600e-01 # CKMlambda 3 8.110000e-01 # CKMA 4 1.240000e-01 # CKMrho 5 3.560000e-01 # CKMeta ''' postamble_A = ''' ################################### ## INFORMATION FOR YUKAWA ################################### Block YUKAWA 1 4.700000e-03 # ymdo 2 2.200000e-03 # ymup 3 9.600000e-02 # yms 4 1.280000e+00 # ymc 5 4.180000e+00 # ymb 6 1.732000e+02 # ymt 11 5.110000e-04 # yme 13 1.056600e-01 # ymm 15 1.777000e+00 # ymtau #=========================================================== # QUANTUM NUMBERS OF NEW STATE(S) (NON SM PDG CODE) #=========================================================== Block QNUMBERS 9000001 # ghA 1 0 # 3 times electric charge 2 -1 # number of spin states (2S+1) 3 1 # colour rep (1: singlet, 3: triplet, 8: octet) 4 1 # Particle/Antiparticle distinction (0=own anti) Block QNUMBERS 9000002 # ghZ 1 0 # 3 times electric charge 2 -1 # number of spin states (2S+1) 3 1 # colour rep (1: singlet, 3: triplet, 8: octet) 4 1 # Particle/Antiparticle distinction (0=own anti) Block QNUMBERS 9000003 # ghWp 1 3 # 3 times electric charge 2 -1 # number of spin states (2S+1) 3 1 # colour rep (1: singlet, 3: triplet, 8: octet) 4 1 # Particle/Antiparticle distinction (0=own anti) Block QNUMBERS 9000004 # ghWm 1 -3 # 3 times electric charge 2 -1 # number of spin states (2S+1) 3 1 # colour rep (1: singlet, 3: triplet, 8: octet) 4 1 # Particle/Antiparticle distinction (0=own anti) Block QNUMBERS 82 # ghG 1 0 # 3 times electric charge 2 -1 # number of spin states (2S+1) 3 8 # colour rep (1: singlet, 3: triplet, 8: octet) 4 1 # Particle/Antiparticle distinction (0=own anti) Block QNUMBERS 250 # G0 1 0 # 3 times electric charge 2 1 # number of spin states (2S+1) 3 1 # colour rep (1: singlet, 3: triplet, 8: octet) 4 0 # Particle/Antiparticle distinction (0=own anti) Block QNUMBERS 251 # G+ 1 3 # 3 times electric charge 2 1 # number of spin states (2S+1) 3 1 # colour rep (1: singlet, 3: triplet, 8: octet) 4 1 # Particle/Antiparticle distinction (0=own anti) ''' preamble_B = ''' ###################################################################### ## PARAM_CARD FOR SMEFTSIM SET B - FLAVOR_GENERAL ALPHA_INPUTS ##### ###################################################################### ################################### ## INFORMATION FOR SMINPUTS ################################### Block SMINPUTS 1 1.279000e+02 # aEWM1 2 1.166370e-05 # Gf 3 1.181000e-01 # aS ################################### ## INFORMATION FOR MASS ################################### Block MASS 1 4.700000e-03 # MD 2 2.200000e-03 # MU 3 9.600000e-02 # MS 4 1.280000e+00 # MC 5 4.180000e+00 # MB 6 1.731000e+02 # MT 11 5.110000e-04 # Me 13 1.056600e-01 # MMU 15 1.777000e+00 # MTA 23 9.118750e+01 # MZ 25 1.250900e+02 # MH ## Not dependent paramater. ## Those values should be edited following analytical the ## analytical expression. Some generator could simply ignore ## those values and use the analytical expression 22 0.000000 # a : 0.0 24 79.824234 # W+ : dMW + MW0 21 0.000000 # g : 0.0 9000001 0.000000 # ghA : 0.0 9000003 79.824234 # ghWp : dMW + MW0 9000004 79.824234 # ghWm : dMW + MW0 82 0.000000 # ghG : 0.0 12 0.000000 # ve : 0.0 14 0.000000 # vm : 0.0 16 0.000000 # vt : 0.0 251 79.824234 # G+ : dMW + MW0 9000002 91.187500 # ghZ : MZ 250 91.187500 # G0 : MZ ################################### ## INFORMATION FOR DECAY ################################### DECAY 6 1.508336e+00 DECAY 23 2.495200e+00 DECAY 24 2.085000e+00 DECAY 25 4.070000e-03 ## Not dependent paramater. ## Those values should be edited following analytical the ## analytical expression. Some generator could simply ignore ## those values and use the analytical expression DECAY 22 0.000000 # a : 0.0 DECAY 21 0.000000 # g : 0.0 DECAY 9000001 0.000000 # ghA : 0.0 DECAY 82 0.000000 # ghG : 0.0 DECAY 12 0.000000 # ve : 0.0 DECAY 14 0.000000 # vm : 0.0 DECAY 16 0.000000 # vt : 0.0 DECAY 11 0.000000 # e- : 0.0 DECAY 13 0.000000 # mu- : 0.0 DECAY 15 0.000000 # ta- : 0.0 DECAY 2 0.000000 # u : 0.0 DECAY 4 0.000000 # c : 0.0 DECAY 1 0.000000 # d : 0.0 DECAY 3 0.000000 # s : 0.0 DECAY 5 0.000000 # b : 0.0 DECAY 9000002 2.495200 # ghZ : WZ DECAY 9000003 2.085000 # ghWp : WW DECAY 9000004 2.085000 # ghWm : WW DECAY 250 2.495200 # G0 : WZ DECAY 251 2.085000 # G+ : WW ################################### ## INFORMATION FOR CKMBLOCK ################################### Block CKMBLOCK 1 2.277360e-01 # cabi 2 9.743400e-01 # CKM11 3 2.250600e-01 # CKM12 4 3.570000e-03 # CKM13 5 2.249200e-01 # CKM21 6 9.735100e-01 # CKM22 7 4.110000e-02 # CKM23 8 8.750000e-03 # CKM31 9 4.030000e-02 # CKM32 10 9.991500e-01 # CKM33 ''' postamble_B = ''' ################################### ## INFORMATION FOR NEWCOUPAUX ################################### Block NEWCOUPaux 0 1.000000e+00 # WC ################################### ## INFORMATION FOR YUKAWA ################################### Block YUKAWA 1 4.700000e-03 # ymdo 2 2.200000e-03 # ymup 3 9.600000e-02 # yms 4 1.280000e+00 # ymc 5 4.180000e+00 # ymb 6 1.731000e+02 # ymt 11 5.110000e-04 # yme 13 1.056600e-01 # ymm 15 1.777000e+00 # ymtau #=========================================================== # QUANTUM NUMBERS OF NEW STATE(S) (NON SM PDG CODE) #=========================================================== Block QNUMBERS 9000001 # ghA 1 0 # 3 times electric charge 2 -1 # number of spin states (2S+1) 3 1 # colour rep (1: singlet, 3: triplet, 8: octet) 4 1 # Particle/Antiparticle distinction (0=own anti) Block QNUMBERS 9000002 # ghZ 1 0 # 3 times electric charge 2 -1 # number of spin states (2S+1) 3 1 # colour rep (1: singlet, 3: triplet, 8: octet) 4 1 # Particle/Antiparticle distinction (0=own anti) Block QNUMBERS 9000003 # ghWp 1 3 # 3 times electric charge 2 -1 # number of spin states (2S+1) 3 1 # colour rep (1: singlet, 3: triplet, 8: octet) 4 1 # Particle/Antiparticle distinction (0=own anti) Block QNUMBERS 9000004 # ghWm 1 -3 # 3 times electric charge 2 -1 # number of spin states (2S+1) 3 1 # colour rep (1: singlet, 3: triplet, 8: octet) 4 1 # Particle/Antiparticle distinction (0=own anti) Block QNUMBERS 82 # ghG 1 0 # 3 times electric charge 2 -1 # number of spin states (2S+1) 3 8 # colour rep (1: singlet, 3: triplet, 8: octet) 4 1 # Particle/Antiparticle distinction (0=own anti) Block QNUMBERS 250 # G0 1 0 # 3 times electric charge 2 1 # number of spin states (2S+1) 3 1 # colour rep (1: singlet, 3: triplet, 8: octet) 4 0 # Particle/Antiparticle distinction (0=own anti) Block QNUMBERS 251 # G+ 1 3 # 3 times electric charge 2 1 # number of spin states (2S+1) 3 1 # colour rep (1: singlet, 3: triplet, 8: octet) 4 1 # Particle/Antiparticle distinction (0=own anti) '''

32.514754

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null

0

10

f452c960b3eea444afb1887c26af00f4f06054b2

17,264

py

Python

heap.py

Wyzzard123/heap_py

aeedadf82defb4b73b69d09695d335a10267783c

[ "MIT" ]

null

heap.py

Wyzzard123/heap_py

aeedadf82defb4b73b69d09695d335a10267783c

[ "MIT" ]

null

heap.py

Wyzzard123/heap_py

aeedadf82defb4b73b69d09695d335a10267783c

[ "MIT" ]

null

""" Consolidating concepts by implementing heap creation Originally by: Wyzzard123 Feel free to make changes.""" # Heap Array Representation Rules: # for i starting at 1: # for a node at i, parent node is at = i // 2 # for a node at i, left child node is at i * 2 # for a node at i, right child node is at (i * 2) + 1 def heap_insert(heap, value, type="max"): """Insert value at the top of a max or min heap""" heap.append(value) n = len(heap) current_index = n current_i = n - 1 parent_index = current_index // 2 # print("not none") # print(f"parent_index - 1 is {parent_index-1}") # print(f"current index is {current_i}") # print(f"heap[parent_index -1] = {heap[parent_index - 1]}; heap[current_i] = {heap[current_i]}") if type == "max": while heap[parent_index - 1] < heap[current_i]: print(f"current_index is {current_index}") print(f"current i is {current_i}") temp_value = heap[parent_index - 1] heap[parent_index - 1] = heap[current_i] heap[current_i] = temp_value current_index //= 2 parent_index = current_index // 2 current_i = current_index - 1 left_child = current_index * 2 right_child = (current_index * 2 + 1) if current_i == 0: break else: pass # print("none") elif type == "min": while heap[parent_index - 1] > heap[current_i]: print(f"current_index is {current_index}") print(f"current i is {current_i}") temp_value = heap[parent_index - 1] heap[parent_index - 1] = heap[current_i] heap[current_i] = temp_value current_index //= 2 parent_index = current_index // 2 current_i = current_index - 1 left_child = current_index * 2 right_child = (current_index * 2 + 1) if current_i == 0: break else: pass # print("none") return heap def heap_create(array, type="max"): """Create max or min heap from a given array in nlogn time""" # Start from the left and add n = len(array) heap = [None] * n # print(heap) height = 0 # Max Heap if type == "max": # starting from 1 to handle this mathematically for index in range (1, n + 1): parent_index = index // 2 left_child = index * 2 right_child = (index * 2) + 1 # insert index into heap heap[index - 1] = array[index - 1] # -1 to compensate for 0-counting if heap[parent_index - 1] is not None: current_index = index i = index - 1 current_i = i # print("not none") # print(f"parent_index - 1 is {parent_index-1}") # print(f"current index is {current_i}") # print(f"heap[parent_index -1] = {heap[parent_index - 1]}; heap[current_i] = {heap[current_i]}") while heap[parent_index - 1] < heap[current_i]: # print(f"current_index is {current_index}") # print(f"current i is {current_i}") temp_value = heap[parent_index - 1] heap[parent_index - 1] = heap[current_i] heap[current_i] = temp_value current_index //= 2 parent_index = current_index // 2 current_i = current_index - 1 left_child = current_index * 2 right_child = (current_index * 2 + 1) if current_i == 0: break else: # print("none") pass # Min Heap if type == "min": # starting from 1 to handle this mathematically for index in range (1, n + 1): parent_index = index // 2 left_child = index * 2 right_child = (index * 2) + 1 # insert index into heap heap[index - 1] = array[index - 1] # -1 to compensate for 0-counting if heap[parent_index - 1] is not None: current_index = index i = index - 1 current_i = i # print("not none") # print(f"parent_index - 1 is {parent_index-1}") # print(f"current index is {current_i}") # print(f"heap[parent_index -1] = {heap[parent_index - 1]}; heap[current_i] = {heap[current_i]}") while heap[parent_index - 1] > heap[current_i]: # print(f"current_index is {current_index}") # print(f"current i is {current_i}") temp_value = heap[parent_index - 1] heap[parent_index - 1] = heap[current_i] heap[current_i] = temp_value current_index //= 2 parent_index = current_index // 2 current_i = current_index - 1 left_child = current_index * 2 right_child = (current_index * 2 + 1) if current_i == 0: break else: pass # print("none") return heap # array = [30, 123, 12, 321, 10, 442, 13, 320, 111, 310, 11, 1] # # array = [1, 2, 3, 4, 5] # heap = heap_create(array, "max") # print("array is", array) # print(heap) # heap_insert(heap,554) # print(heap) def heapify(array, type=max): """Create a max or min heap from a given array in logn time.""" #TODO pass def heap_delete(heap, type="max"): """Delete from top of a max or min heap in logn time. Returns the deleted value (which can be used in heap sort).""" deleted_element = heap[0] # Stores deleted element to be returned n = len(heap) current_index = 1 current_i = current_index - 1 left_child = current_index * 2 right_child = (current_index * 2) + 1 left_child_i = left_child - 1 right_child_i = right_child - 1 has_left_child = True has_right_child = True last_element_index = n - 1 if right_child_i > last_element_index: has_right_child = False if left_child_i > last_element_index: has_left_child = False # Replace deleted element with last element heap[current_i] = heap[last_element_index] # Remove last element of heap. heap.pop() n = len(heap) last_element_index = n - 1 if right_child_i > last_element_index: has_right_child = False if left_child_i > last_element_index: has_left_child = False if type == "max": # Check and swap elements below # Condition is if it has a left child because this is a complete binary tree while has_left_child is True: if has_right_child is True: # Check which child node is greater if heap[right_child_i] > heap[left_child_i]: # Check if greater child node is greater than current node if heap[right_child_i] > heap[current_i]: temp_value = heap[right_child_i] heap[right_child_i] = heap[current_i] heap[current_i] = temp_value # + 1 because the current_index is now the right node current_index = (current_index * 2) + 1 current_i = current_index - 1 left_child = current_index * 2 left_child_i = left_child - 1 right_child = (current_index * 2) + 1 right_child_i = right_child - 1 # Break if the sorting is done else: break # This currently will also swap the left child by default if the two child nodes are equal elif heap[left_child_i] >= heap[right_child_i]: if heap[left_child_i] > heap[current_i]: temp_value = heap[left_child_i] heap[left_child_i] = heap[current_i] heap[current_i] = temp_value current_index *= 2 current_i = current_index - 1 left_child = current_index * 2 left_child_i = left_child - 1 right_child = (current_index * 2 + 1) right_child_i = right_child - 1 # Break if the sorting is done else: break # In this condition, has_left_child is true, but has_right_child is false else: if heap[left_child_i] > heap[current_i]: temp_value = heap[left_child_i] heap[left_child_i] = heap[current_i] heap[current_i] = temp_value current_index *= 2 current_i = current_index - 1 left_child = current_index * 2 left_child_i = left_child - 1 right_child = (current_index * 2 + 1) right_child_i = right_child - 1 # Reset has_right_child and has_left_child for loop if right_child > last_element_index: has_right_child = False if left_child > last_element_index: has_left_child = False break elif type == "min": # Check and swap elements below # Condition is if it has a left child because this is a complete binary tree while has_left_child is True: if has_right_child is True: # Check which child node is smaller if heap[right_child_i] < heap[left_child_i]: # Check if smaller child node is greater than current node if heap[right_child_i] < heap[current_i]: temp_value = heap[right_child_i] heap[right_child_i] = heap[current_i] heap[current_i] = temp_value # + 1 because the current_index is now the right node current_index = (current_index * 2) + 1 current_i = current_index - 1 left_child = current_index * 2 left_child_i = left_child - 1 right_child = (current_index * 2) + 1 right_child_i = right_child - 1 # Break if the sorting is done else: break # This currently will also swap the left child by default if the two child nodes are equal elif heap[left_child_i] <= heap[right_child_i]: if heap[left_child_i] < heap[current_i]: temp_value = heap[left_child_i] heap[left_child_i] = heap[current_i] heap[current_i] = temp_value current_index *= 2 current_i = current_index - 1 left_child = current_index * 2 left_child_i = left_child - 1 right_child = (current_index * 2 + 1) right_child_i = right_child - 1 # Break if the sorting is done else: break # In this condition, has_left_child is true, but has_right_child is false else: if heap[left_child_i] < heap[current_i]: temp_value = heap[left_child_i] heap[left_child_i] = heap[current_i] heap[current_i] = temp_value current_index *= 2 current_i = current_index - 1 left_child = current_index * 2 left_child_i = left_child - 1 right_child = (current_index * 2 + 1) right_child_i = right_child - 1 # Reset has_right_child and has_left_child for loop if right_child > last_element_index: has_right_child = False if left_child > last_element_index: has_left_child = False break return deleted_element # heap_delete(heap) # print(heap) def heap_sort_from_heap(heap, type="max"): """Return a sorted array in nlogn time by deleting from top of heap.""" temp_heap = [] temp_heap += heap # print("Temp =",temp_heap) n = len(heap) sorted_heap = [None] * n for i in range(n): sorted_heap[n - 1 - i] = heap_delete(heap) # Copies the old values back into heap to ensure that the heap itself is not changed # print("Temp =", temp_heap) heap += temp_heap return(sorted_heap) # # You must reassign the heap to another variable # sorted_heap = heap_sort_from_heap(heap) # # Heap is sorted # print(sorted_heap) # # Heap is replicated into place # print(heap) def heap_sort_from_unsorted(array, reverse="false"): """Return a sorted array in nlogn time by deleting from top of heap. This does not modify the original array, and must be assigned. Takes second parameter of reverse which can be 'true' or 'false'""" if reverse == "false" or reverse == "False": heap = heap_create(array, "max") print("new max heap: \n", heap) # print("Temp =",temp_heap) n = len(heap) sorted_array = [None] * n for i in range(n): sorted_array[n - 1 - i] = heap_delete(heap, "max") # print(f"heap now for i = {i}: {heap}") # print(f"sorted array now for i = {i}: {sorted_array}") if reverse == "true" or reverse == "reversed" or reverse == "True" or reverse == "Reversed": heap = heap_create(array, "min") print("new min heap: \n", heap) # print("Temp =",temp_heap) n = len(heap) sorted_array = [None] * n for i in range(n): sorted_array[n - 1 - i] = heap_delete(heap, "min") # print(f"heap now for i = {i}: {heap}") # print(f"sorted array now for i = {i}: {sorted_array}") # Copies the old values back into heap to ensure that the heap itself is not changed # print("Temp =", temp_heap) return(sorted_array) array2 = [1, 3, 4, 51,3,53,45 ,234,5 ,32,534, 213, 21, 214124213, 1231, 1231, 123213, 5136, 1324, 634, 634, 632, 246, 4253, 632, 3, 4, 51, 231, 1251, 23, 12, 3115, 122, 1231, 232, 111, 321, 421, 231, 24, 123, 41241, 23, 12312, 123, 12,3 ,123 ,2132,1,32 ,123,213,12, 421,55, 31,5,325 ,23, 53,215,23,523,15,532,6,783,73,45 ,3,53,45 ,234,5 ,32,534, 213, 21, 214124213, 1231, 1231, 123213, 5136, 1324, 634, 634, 632, 246, 4253, 632, 3, 4, 51, 231, 1251, 23, 12, 3115, 122, 1231, 232, 111, 321, 421, 231, 24, 123, 41241, 23, 12312, 123, 12,3 ,123 ,2132,1,32 ,123,213,12, 421,55, 31,5,325 ,23, 53,215,23,523,15,532,6,783,73,45 ,3,53,45 ,234,5 ,32,534, 213, 21, 214124213, 1231, 1231, 123213, 5136, 1324, 634, 634, 632, 246, 4253, 632] # array2 = [52, 23, 1, 52, 1, 23, 12, 21, 1] import time print("Sorting by max") print("original: \n", array2) t0 = time.time() sorted_array = heap_sort_from_unsorted(array2, "false") t1 = time.time() print(f"b Time for heapsort max is: %f" % (t1-t0)) print("sorted: \n", sorted_array) print("Sorting by min") print("original: \n", array2) t0 = time.time() sorted_array = heap_sort_from_unsorted(array2, "true") t1 = time.time() print(f"b Time for heapsort min is: %f" % (t1-t0)) print("sorted: \n", sorted_array) t0 = time.time() python_sorted_array = sorted(array2) t1 = time.time() print(f"b Time for python sort is: %f" % (t1-t0)) print("sorted: \n", python_sorted_array) t0 = time.time() python_sorted_array_reversed = sorted(array2, reverse=False) t1 = time.time() print(f"b Time for python sort reversed is: %f" % (t1-t0)) print("sorted: \n", python_sorted_array_reversed) # array3 = [3115, 1251, 2132, 421, 1, 534, 321, 55, 325, 1231, 783, 234, 421, 123, 232, 51, 31, 231, 215, 523, 532, 123, 73, 53, 123, 111, 231, 23, 32, 213, 12, 1, 32, 24, 5, 12, 23, 53, 123, 4, 23, 15, 23, 6, 122, 12, 45, 3, 3, 3, 45, 5] # array3 = [10, 1, 10, 1, 10, 1, 10, 1, 10, 1, 10, 1, 10, 1, 10, 1, 20, 20, 10, 1, 10, 1, 10, 1, 10, 1, 10, 1, 10, 1, 10, 1, 10, 1, 20, 20, 10, 1, 10, 1, 10, 1, 10, 1, 10, 1, 10, 1, 10, 1, 10, 1, 20, 20] # array3 = [140, 130, 120, 110, 100, 90, 80, 70, 60, 50, 40, 30, 20, 10, 23, 180, 170, 160, 200, 190, 150 ] # heap3 = heap_sort_from_unsorted(array3) # print(heap3)

37.942857

728

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3.784749

0.101089

0.092563

0.055376

0.037417

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0.793576

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0

0.087005

0.375521

17,264

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37.942857

0.718672

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0

0.786822

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0.01938

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null

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f465666eeb9757f0ab1702c98389d8d870a93a32

49

py

Python

app/blueprints/__init__.py

mdazharulhoque7/azureFlaskPG

4fc3a67f2a38eb4fa8eb3484f332b96b576d3f60

[ "MIT" ]

null

app/blueprints/__init__.py

mdazharulhoque7/azureFlaskPG

4fc3a67f2a38eb4fa8eb3484f332b96b576d3f60

[ "MIT" ]

null

app/blueprints/__init__.py

mdazharulhoque7/azureFlaskPG

4fc3a67f2a38eb4fa8eb3484f332b96b576d3f60

[ "MIT" ]

null

from .views import blueprint as default_blueprint

49

0.877551

7

49

6

0.857143

0

0.102041

49

1

49

0.954545

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

7

f46cae5371a3d32324c86486e2d3c80fa290f4a8

39,611

py

Python

tests/test_base_utils.py

tods-doc/d3m

e25793d4aaa9a8fdb63ac33bf1c045b96d6067a6

[ "Apache-2.0" ]

null

tests/test_base_utils.py

tods-doc/d3m

e25793d4aaa9a8fdb63ac33bf1c045b96d6067a6

[ "Apache-2.0" ]

null

tests/test_base_utils.py

tods-doc/d3m

e25793d4aaa9a8fdb63ac33bf1c045b96d6067a6

[ "Apache-2.0" ]

null

import unittest from d3m import container, utils as d3m_utils from d3m.base import utils from d3m.metadata import base as metadata_base class TestBaseUtils(unittest.TestCase): def test_combine_columns_compact_metadata(self): main = container.DataFrame({'a1': [1, 2, 3], 'b1': [4, 5, 6], 'c1': [7, 8, 9], 'd1': [10, 11, 12], 'e1': [13, 14, 15]}, { 'top_level': 'main', }, generate_metadata=False) main.metadata = main.metadata.generate(main, compact=True) main.metadata = main.metadata.update_column(0, {'name': 'aaa111'}) main.metadata = main.metadata.update_column(1, {'name': 'bbb111', 'extra': 'b_column'}) main.metadata = main.metadata.update_column(2, {'name': 'ccc111'}) columns2 = container.DataFrame({'a2': [21, 22, 23], 'b2': [24, 25, 26]}, { 'top_level': 'columns2', }, generate_metadata=False) columns2.metadata = columns2.metadata.generate(columns2, compact=True) columns2.metadata = columns2.metadata.update_column(0, {'name': 'aaa222'}) columns2.metadata = columns2.metadata.update_column(1, {'name': 'bbb222'}) columns3 = container.DataFrame({'a3': [31, 32, 33], 'b3': [34, 35, 36]}, { 'top_level': 'columns3', }, generate_metadata=False) columns3.metadata = columns3.metadata.generate(columns3, compact=True) columns3.metadata = columns3.metadata.update_column(0, {'name': 'aaa333'}) columns3.metadata = columns3.metadata.update_column(1, {'name': 'bbb333'}) result = utils.combine_columns(main, [1, 2], [columns2, columns3], return_result='append', add_index_columns=False) self.assertEqual(result.values.tolist(), [ [1, 4, 7, 10, 13, 21, 24, 31, 34], [2, 5, 8, 11, 14, 22, 25, 32, 35], [3, 6, 9, 12, 15, 23, 26, 33, 36], ]) self.assertEqual(d3m_utils.to_json_structure(result.metadata.to_internal_simple_structure()), [{ 'selector': [], 'metadata': { 'top_level': 'main', 'schema': metadata_base.CONTAINER_SCHEMA_VERSION, 'structural_type': 'd3m.container.pandas.DataFrame', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Table'], 'dimension': { 'name': 'rows', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularRow'], 'length': 3, }, }, }, { 'selector': ['__ALL_ELEMENTS__'], 'metadata': { 'dimension': { 'name': 'columns', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularColumn'], 'length': 9, }, }, }, { 'selector': ['__ALL_ELEMENTS__', '__ALL_ELEMENTS__'], 'metadata': { 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 0], 'metadata': { 'name': 'aaa111', }, }, { 'selector': ['__ALL_ELEMENTS__', 1], 'metadata': { 'name': 'bbb111', 'extra': 'b_column', }, }, { 'selector': ['__ALL_ELEMENTS__', 2], 'metadata': { 'name': 'ccc111', }, }, { 'selector': ['__ALL_ELEMENTS__', 3], 'metadata': { 'name': 'd1', }, }, { 'selector': ['__ALL_ELEMENTS__', 4], 'metadata': { 'name': 'e1', }, }, { 'selector': ['__ALL_ELEMENTS__', 5], 'metadata': { 'name': 'aaa222', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 6], 'metadata': { 'name': 'bbb222', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 7], 'metadata': { 'name': 'aaa333', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 8], 'metadata': { 'name': 'bbb333', 'structural_type': 'numpy.int64', }, }]) result = utils.combine_columns(main, [1, 2], [columns2, columns3], return_result='new', add_index_columns=False) self.assertEqual(result.values.tolist(), [ [21, 24, 31, 34], [22, 25, 32, 35], [23, 26, 33, 36], ]) self.assertEqual(d3m_utils.to_json_structure(result.metadata.to_internal_simple_structure()), [{ 'selector': [], 'metadata': { 'top_level': 'columns2', 'schema': metadata_base.CONTAINER_SCHEMA_VERSION, 'structural_type': 'd3m.container.pandas.DataFrame', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Table'], 'dimension': { 'name': 'rows', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularRow'], 'length': 3, }, }, }, { 'selector': ['__ALL_ELEMENTS__'], 'metadata': { 'dimension': { 'name': 'columns', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularColumn'], 'length': 4, }, }, }, { 'selector': ['__ALL_ELEMENTS__', '__ALL_ELEMENTS__'], 'metadata': { 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 0], 'metadata': { 'name': 'aaa222', }, }, { 'selector': ['__ALL_ELEMENTS__', 1], 'metadata': { 'name': 'bbb222', }, }, { 'selector': ['__ALL_ELEMENTS__', 2], 'metadata': { 'name': 'aaa333', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 3], 'metadata': { 'name': 'bbb333', 'structural_type': 'numpy.int64', }, }]) result = utils.combine_columns(main, [1, 2], [columns2, columns3], return_result='replace', add_index_columns=False) self.assertEqual(result.values.tolist(), [ [1, 21, 24, 31, 34, 10, 13], [2, 22, 25, 32, 35, 11, 14], [3, 23, 26, 33, 36, 12, 15], ]) self.assertEqual(d3m_utils.to_json_structure(result.metadata.to_internal_simple_structure()), [{ 'selector': [], 'metadata': { 'top_level': 'main', 'schema': metadata_base.CONTAINER_SCHEMA_VERSION, 'structural_type': 'd3m.container.pandas.DataFrame', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Table'], 'dimension': { 'name': 'rows', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularRow'], 'length': 3, }, }, }, { 'selector': ['__ALL_ELEMENTS__'], 'metadata': { 'dimension': { 'name': 'columns', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularColumn'], 'length': 7, }, }, }, { 'selector': ['__ALL_ELEMENTS__', '__ALL_ELEMENTS__'], 'metadata': { 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 0], 'metadata': { 'name': 'aaa111', }, }, { 'selector': ['__ALL_ELEMENTS__', 1], 'metadata': { 'name': 'aaa222', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 2], 'metadata': { 'name': 'bbb222', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 3], 'metadata': { 'name': 'aaa333', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 4], 'metadata': { 'name': 'bbb333', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 5], 'metadata': { 'name': 'd1', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 6], 'metadata': { 'name': 'e1', 'structural_type': 'numpy.int64', }, }]) result = utils.combine_columns(main, [0, 1, 2, 3, 4], [columns2, columns3], return_result='replace', add_index_columns=False) self.assertEqual(result.values.tolist(), [ [21, 24, 31, 34], [22, 25, 32, 35], [23, 26, 33, 36], ]) self.assertEqual(d3m_utils.to_json_structure(result.metadata.to_internal_simple_structure()), [{ 'selector': [], 'metadata': { 'top_level': 'main', 'schema': metadata_base.CONTAINER_SCHEMA_VERSION, 'structural_type': 'd3m.container.pandas.DataFrame', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Table'], 'dimension': { 'name': 'rows', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularRow'], 'length': 3, }, }, }, { 'selector': ['__ALL_ELEMENTS__'], 'metadata': { 'dimension': { 'name': 'columns', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularColumn'], 'length': 4, }, }, }, { 'selector': ['__ALL_ELEMENTS__', '__ALL_ELEMENTS__'], 'metadata': { 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 0], 'metadata': { 'name': 'aaa222', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 1], 'metadata': { 'name': 'bbb222', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 2], 'metadata': { 'name': 'aaa333', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 3], 'metadata': { 'name': 'bbb333', 'structural_type': 'numpy.int64', }, }]) result = utils.combine_columns(main, [4], [columns2, columns3], return_result='replace', add_index_columns=False) self.assertEqual(result.values.tolist(), [ [1, 4, 7, 10, 21, 24, 31, 34], [2, 5, 8, 11, 22, 25, 32, 35], [3, 6, 9, 12, 23, 26, 33, 36], ]) self.assertEqual(d3m_utils.to_json_structure(result.metadata.to_internal_simple_structure()), [{ 'selector': [], 'metadata': { 'top_level': 'main', 'schema': metadata_base.CONTAINER_SCHEMA_VERSION, 'structural_type': 'd3m.container.pandas.DataFrame', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Table'], 'dimension': { 'name': 'rows', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularRow'], 'length': 3, }, }, }, { 'selector': ['__ALL_ELEMENTS__'], 'metadata': { 'dimension': { 'name': 'columns', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularColumn'], 'length': 8, }, }, }, { 'selector': ['__ALL_ELEMENTS__', '__ALL_ELEMENTS__'], 'metadata': { 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 0], 'metadata': { 'name': 'aaa111', }, }, { 'selector': ['__ALL_ELEMENTS__', 1], 'metadata': { 'name': 'bbb111', 'extra': 'b_column', }, }, { 'selector': ['__ALL_ELEMENTS__', 2], 'metadata': { 'name': 'ccc111', }, }, { 'selector': ['__ALL_ELEMENTS__', 3], 'metadata': { 'name': 'd1', }, }, { 'selector': ['__ALL_ELEMENTS__', 4], 'metadata': { 'structural_type': 'numpy.int64', 'name': 'aaa222', }, }, { 'selector': ['__ALL_ELEMENTS__', 5], 'metadata': { 'structural_type': 'numpy.int64', 'name': 'bbb222', }, }, { 'selector': ['__ALL_ELEMENTS__', 6], 'metadata': { 'structural_type': 'numpy.int64', 'name': 'aaa333', }, }, { 'selector': ['__ALL_ELEMENTS__', 7], 'metadata': { 'structural_type': 'numpy.int64', 'name': 'bbb333', }, }]) result = utils.combine_columns(main, [0, 2, 4], [columns2, columns3], return_result='replace', add_index_columns=False) self.assertEqual(result.values.tolist(), [ [21, 4, 24, 10, 31, 34], [22, 5, 25, 11, 32, 35], [23, 6, 26, 12, 33, 36], ]) self.assertEqual(d3m_utils.to_json_structure(result.metadata.to_internal_simple_structure()), [{ 'selector': [], 'metadata': { 'top_level': 'main', 'schema': metadata_base.CONTAINER_SCHEMA_VERSION, 'structural_type': 'd3m.container.pandas.DataFrame', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Table'], 'dimension': { 'name': 'rows', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularRow'], 'length': 3, }, }, }, { 'selector': ['__ALL_ELEMENTS__'], 'metadata': { 'dimension': { 'name': 'columns', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularColumn'], 'length': 6, }, }, }, { 'selector': ['__ALL_ELEMENTS__', '__ALL_ELEMENTS__'], 'metadata': { 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 0], 'metadata': { 'name': 'aaa222', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 1], 'metadata': { 'name': 'bbb111', 'extra': 'b_column', }, }, { 'selector': ['__ALL_ELEMENTS__', 2], 'metadata': { 'name': 'bbb222', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 3], 'metadata': { 'name': 'd1', }, }, { 'selector': ['__ALL_ELEMENTS__', 4], 'metadata': { 'name': 'aaa333', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 5], 'metadata': { 'name': 'bbb333', 'structural_type': 'numpy.int64', }, }]) def test_combine_columns_noncompact_metadata(self): main = container.DataFrame({'a1': [1, 2, 3], 'b1': [4, 5, 6], 'c1': [7, 8, 9], 'd1': [10, 11, 12], 'e1': [13, 14, 15]}, { 'top_level': 'main', }, generate_metadata=False) main.metadata = main.metadata.generate(main, compact=False) main.metadata = main.metadata.update_column(0, {'name': 'aaa111'}) main.metadata = main.metadata.update_column(1, {'name': 'bbb111', 'extra': 'b_column'}) main.metadata = main.metadata.update_column(2, {'name': 'ccc111'}) columns2 = container.DataFrame({'a2': [21, 22, 23], 'b2': [24, 25, 26]}, { 'top_level': 'columns2', }, generate_metadata=False) columns2.metadata = columns2.metadata.generate(columns2, compact=False) columns2.metadata = columns2.metadata.update_column(0, {'name': 'aaa222'}) columns2.metadata = columns2.metadata.update_column(1, {'name': 'bbb222'}) columns3 = container.DataFrame({'a3': [31, 32, 33], 'b3': [34, 35, 36]}, { 'top_level': 'columns3', }, generate_metadata=False) columns3.metadata = columns3.metadata.generate(columns3, compact=False) columns3.metadata = columns3.metadata.update_column(0, {'name': 'aaa333'}) columns3.metadata = columns3.metadata.update_column(1, {'name': 'bbb333'}) result = utils.combine_columns(main, [1, 2], [columns2, columns3], return_result='append', add_index_columns=False) self.assertEqual(result.values.tolist(), [ [1, 4, 7, 10, 13, 21, 24, 31, 34], [2, 5, 8, 11, 14, 22, 25, 32, 35], [3, 6, 9, 12, 15, 23, 26, 33, 36], ]) self.assertEqual(d3m_utils.to_json_structure(result.metadata.to_internal_simple_structure()), [{ 'selector': [], 'metadata': { 'top_level': 'main', 'schema': metadata_base.CONTAINER_SCHEMA_VERSION, 'structural_type': 'd3m.container.pandas.DataFrame', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Table'], 'dimension': { 'name': 'rows', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularRow'], 'length': 3, }, }, }, { 'selector': ['__ALL_ELEMENTS__'], 'metadata': { 'dimension': { 'name': 'columns', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularColumn'], 'length': 9, }, }, }, { 'selector': ['__ALL_ELEMENTS__', 0], 'metadata': { 'name': 'aaa111', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 1], 'metadata': { 'name': 'bbb111', 'extra': 'b_column', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 2], 'metadata': { 'name': 'ccc111', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 3], 'metadata': { 'name': 'd1', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 4], 'metadata': { 'name': 'e1', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 5], 'metadata': { 'name': 'aaa222', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 6], 'metadata': { 'name': 'bbb222', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 7], 'metadata': { 'name': 'aaa333', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 8], 'metadata': { 'name': 'bbb333', 'structural_type': 'numpy.int64', }, }]) result = utils.combine_columns(main, [1, 2], [columns2, columns3], return_result='new', add_index_columns=False) self.assertEqual(result.values.tolist(), [ [21, 24, 31, 34], [22, 25, 32, 35], [23, 26, 33, 36], ]) self.assertEqual(d3m_utils.to_json_structure(result.metadata.to_internal_simple_structure()), [{ 'selector': [], 'metadata': { 'top_level': 'columns2', 'schema': metadata_base.CONTAINER_SCHEMA_VERSION, 'structural_type': 'd3m.container.pandas.DataFrame', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Table'], 'dimension': { 'name': 'rows', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularRow'], 'length': 3, }, }, }, { 'selector': ['__ALL_ELEMENTS__'], 'metadata': { 'dimension': { 'name': 'columns', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularColumn'], 'length': 4, }, }, }, { 'selector': ['__ALL_ELEMENTS__', 0], 'metadata': { 'name': 'aaa222', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 1], 'metadata': { 'name': 'bbb222', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 2], 'metadata': { 'name': 'aaa333', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 3], 'metadata': { 'name': 'bbb333', 'structural_type': 'numpy.int64', }, }]) result = utils.combine_columns(main, [1, 2], [columns2, columns3], return_result='replace', add_index_columns=False) self.assertEqual(result.values.tolist(), [ [1, 21, 24, 31, 34, 10, 13], [2, 22, 25, 32, 35, 11, 14], [3, 23, 26, 33, 36, 12, 15], ]) self.assertEqual(d3m_utils.to_json_structure(result.metadata.to_internal_simple_structure()), [{ 'selector': [], 'metadata': { 'top_level': 'main', 'schema': metadata_base.CONTAINER_SCHEMA_VERSION, 'structural_type': 'd3m.container.pandas.DataFrame', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Table'], 'dimension': { 'name': 'rows', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularRow'], 'length': 3, }, }, }, { 'selector': ['__ALL_ELEMENTS__'], 'metadata': { 'dimension': { 'name': 'columns', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularColumn'], 'length': 7, }, }, }, { 'selector': ['__ALL_ELEMENTS__', 0], 'metadata': { 'name': 'aaa111', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 1], 'metadata': { 'name': 'aaa222', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 2], 'metadata': { 'name': 'bbb222', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 3], 'metadata': { 'name': 'aaa333', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 4], 'metadata': { 'name': 'bbb333', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 5], 'metadata': { 'name': 'd1', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 6], 'metadata': { 'name': 'e1', 'structural_type': 'numpy.int64', }, }]) result = utils.combine_columns(main, [0, 1, 2, 3, 4], [columns2, columns3], return_result='replace', add_index_columns=False) self.assertEqual(result.values.tolist(), [ [21, 24, 31, 34], [22, 25, 32, 35], [23, 26, 33, 36], ]) self.assertEqual(d3m_utils.to_json_structure(result.metadata.to_internal_simple_structure()), [{ 'selector': [], 'metadata': { 'top_level': 'main', 'schema': metadata_base.CONTAINER_SCHEMA_VERSION, 'structural_type': 'd3m.container.pandas.DataFrame', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Table'], 'dimension': { 'name': 'rows', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularRow'], 'length': 3, }, }, }, { 'selector': ['__ALL_ELEMENTS__'], 'metadata': { 'dimension': { 'name': 'columns', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularColumn'], 'length': 4, }, }, }, { 'selector': ['__ALL_ELEMENTS__', 0], 'metadata': { 'name': 'aaa222', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 1], 'metadata': { 'name': 'bbb222', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 2], 'metadata': { 'name': 'aaa333', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 3], 'metadata': { 'name': 'bbb333', 'structural_type': 'numpy.int64', }, }]) result = utils.combine_columns(main, [4], [columns2, columns3], return_result='replace', add_index_columns=False) self.assertEqual(result.values.tolist(), [ [1, 4, 7, 10, 21, 24, 31, 34], [2, 5, 8, 11, 22, 25, 32, 35], [3, 6, 9, 12, 23, 26, 33, 36], ]) self.assertEqual(d3m_utils.to_json_structure(result.metadata.to_internal_simple_structure()), [{ 'selector': [], 'metadata': { 'top_level': 'main', 'schema': metadata_base.CONTAINER_SCHEMA_VERSION, 'structural_type': 'd3m.container.pandas.DataFrame', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Table'], 'dimension': { 'name': 'rows', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularRow'], 'length': 3, }, }, }, { 'selector': ['__ALL_ELEMENTS__'], 'metadata': { 'dimension': { 'name': 'columns', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularColumn'], 'length': 8, }, }, }, { 'selector': ['__ALL_ELEMENTS__', 0], 'metadata': { 'name': 'aaa111', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 1], 'metadata': { 'name': 'bbb111', 'extra': 'b_column', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 2], 'metadata': { 'name': 'ccc111', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 3], 'metadata': { 'name': 'd1', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 4], 'metadata': { 'structural_type': 'numpy.int64', 'name': 'aaa222', }, }, { 'selector': ['__ALL_ELEMENTS__', 5], 'metadata': { 'structural_type': 'numpy.int64', 'name': 'bbb222', }, }, { 'selector': ['__ALL_ELEMENTS__', 6], 'metadata': { 'structural_type': 'numpy.int64', 'name': 'aaa333', }, }, { 'selector': ['__ALL_ELEMENTS__', 7], 'metadata': { 'structural_type': 'numpy.int64', 'name': 'bbb333', }, }]) result = utils.combine_columns(main, [0, 2, 4], [columns2, columns3], return_result='replace', add_index_columns=False) self.assertEqual(result.values.tolist(), [ [21, 4, 24, 10, 31, 34], [22, 5, 25, 11, 32, 35], [23, 6, 26, 12, 33, 36], ]) self.assertEqual(d3m_utils.to_json_structure(result.metadata.to_internal_simple_structure()), [{ 'selector': [], 'metadata': { 'top_level': 'main', 'schema': metadata_base.CONTAINER_SCHEMA_VERSION, 'structural_type': 'd3m.container.pandas.DataFrame', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Table'], 'dimension': { 'name': 'rows', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularRow'], 'length': 3, }, }, }, { 'selector': ['__ALL_ELEMENTS__'], 'metadata': { 'dimension': { 'name': 'columns', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularColumn'], 'length': 6, }, }, }, { 'selector': ['__ALL_ELEMENTS__', 0], 'metadata': { 'name': 'aaa222', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 1], 'metadata': { 'name': 'bbb111', 'extra': 'b_column', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 2], 'metadata': { 'name': 'bbb222', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 3], 'metadata': { 'name': 'd1', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 4], 'metadata': { 'name': 'aaa333', 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 5], 'metadata': { 'name': 'bbb333', 'structural_type': 'numpy.int64', }, }]) def test_combine_columns_new_with_index_compact_metadata(self): main = container.DataFrame({'d3mIndex': [1, 2, 3], 'b1': [4, 5, 6], 'c1': [7, 8, 9]}, columns=['d3mIndex', 'b1', 'c1'], generate_metadata=False) main.metadata = main.metadata.generate(main, compact=True) main.metadata = main.metadata.update_column(0, {'name': 'd3mIndex', 'semantic_types': ['http://schema.org/Integer', 'https://metadata.datadrivendiscovery.org/types/PrimaryKey']}) main.metadata = main.metadata.update_column(1, {'name': 'b1', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Attribute']}) main.metadata = main.metadata.update_column(2, {'name': 'c1', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Attribute']}) columns = container.DataFrame({'d3mIndex': [1, 2, 3], 'b2': [4, 5, 6]}, columns=['d3mIndex', 'b2'], generate_metadata=False) columns.metadata = columns.metadata.generate(columns, compact=True) columns.metadata = columns.metadata.update_column(0, {'name': 'd3mIndex', 'semantic_types': ['http://schema.org/Integer', 'https://metadata.datadrivendiscovery.org/types/PrimaryKey']}) columns.metadata = columns.metadata.update_column(1, {'name': 'b2', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Attribute']}) result = utils.combine_columns(main, [], [columns], return_result='new', add_index_columns=True) self.assertEqual(result.values.tolist(), [ [1, 4], [2, 5], [3, 6], ]) self.assertEqual(d3m_utils.to_json_structure(result.metadata.to_internal_simple_structure()), [{ 'selector': [], 'metadata': { 'schema': metadata_base.CONTAINER_SCHEMA_VERSION, 'structural_type': 'd3m.container.pandas.DataFrame', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Table'], 'dimension': { 'name': 'rows', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularRow'], 'length': 3, }, }, }, { 'selector': ['__ALL_ELEMENTS__'], 'metadata': { 'dimension': { 'name': 'columns', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularColumn'], 'length': 2, }, }, }, { 'selector': ['__ALL_ELEMENTS__', '__ALL_ELEMENTS__'], 'metadata': { 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 0], 'metadata': { 'name': 'd3mIndex', 'semantic_types': ['http://schema.org/Integer', 'https://metadata.datadrivendiscovery.org/types/PrimaryKey'], }, }, { 'selector': ['__ALL_ELEMENTS__', 1], 'metadata': { 'name': 'b2', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Attribute'], }, }]) def test_combine_columns_new_with_index_noncompact_metadata(self): main = container.DataFrame({'d3mIndex': [1, 2, 3], 'b1': [4, 5, 6], 'c1': [7, 8, 9]}, columns=['d3mIndex', 'b1', 'c1'], generate_metadata=False) main.metadata = main.metadata.generate(main, compact=False) main.metadata = main.metadata.update_column(0, {'name': 'd3mIndex', 'semantic_types': ['http://schema.org/Integer', 'https://metadata.datadrivendiscovery.org/types/PrimaryKey']}) main.metadata = main.metadata.update_column(1, {'name': 'b1', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Attribute']}) main.metadata = main.metadata.update_column(2, {'name': 'c1', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Attribute']}) columns = container.DataFrame({'d3mIndex': [1, 2, 3], 'b2': [4, 5, 6]}, columns=['d3mIndex', 'b2'], generate_metadata=False) columns.metadata = columns.metadata.generate(columns, compact=False) columns.metadata = columns.metadata.update_column(0, {'name': 'd3mIndex', 'semantic_types': ['http://schema.org/Integer', 'https://metadata.datadrivendiscovery.org/types/PrimaryKey']}) columns.metadata = columns.metadata.update_column(1, {'name': 'b2', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Attribute']}) result = utils.combine_columns(main, [], [columns], return_result='new', add_index_columns=True) self.assertEqual(result.values.tolist(), [ [1, 4], [2, 5], [3, 6], ]) self.assertEqual(d3m_utils.to_json_structure(result.metadata.to_internal_simple_structure()), [{ 'selector': [], 'metadata': { 'schema': metadata_base.CONTAINER_SCHEMA_VERSION, 'structural_type': 'd3m.container.pandas.DataFrame', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Table'], 'dimension': { 'name': 'rows', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularRow'], 'length': 3, }, }, }, { 'selector': ['__ALL_ELEMENTS__'], 'metadata': { 'dimension': { 'name': 'columns', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularColumn'], 'length': 2, }, }, }, { 'selector': ['__ALL_ELEMENTS__', 0], 'metadata': { 'name': 'd3mIndex', 'semantic_types': ['http://schema.org/Integer', 'https://metadata.datadrivendiscovery.org/types/PrimaryKey'], 'structural_type': 'numpy.int64', }, }, { 'selector': ['__ALL_ELEMENTS__', 1], 'metadata': { 'name': 'b2', 'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Attribute'], 'structural_type': 'numpy.int64', }, }]) if __name__ == '__main__': unittest.main()

38.234556

192

0.461034

3,092

39,611

5.597348

0.03881

0.068643

0.11088

0.098457

0.986999

0.986133

0.984168

0.979141

0

0.050166

0.378001

39,611

1,035

193

38.271498

0.652285

0

0.836735

0

0.314307

0.010603

0

0.028571

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0.004082

false

0

0.004082

0

0.009184

0

null

0

1

0

1

0

null

0

7

f4700cc3ce530a21b25613814162ae209df56925

100

py

Python

tests/test_default.py

soasme/dogeon

496b9a5b099946d14434ed0cd7a94a270f607207

[ "MIT" ]

3

2017-10-18T22:17:43.000Z

2021-09-15T01:27:29.000Z

tests/test_default.py

soasme/dogeon

496b9a5b099946d14434ed0cd7a94a270f607207

[ "MIT" ]

1

2015-02-24T18:41:28.000Z

tests/test_default.py

soasme/dogeon

496b9a5b099946d14434ed0cd7a94a270f607207

[ "MIT" ]

null

import dson def test_default(): assert dson.dumps(type, default=repr) == dson.dumps(repr(type))

25

67

0.72

15

100

4.733333

0.6

0.253521

0

0.13

100

3

68

33.333333

0.816092

0

0.333333

1

0.333333

true

0

0.333333

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

be822736bea411c0297187dceadae6d44ced2947

770

py

Python

EApp/remove.py

eljimenezj/Team_51_DS4A_2021

6f8e1fca0962e1698e4b533fee6eabd36abea1cf

[ "MIT" ]

null

EApp/remove.py

eljimenezj/Team_51_DS4A_2021

6f8e1fca0962e1698e4b533fee6eabd36abea1cf

[ "MIT" ]

null

EApp/remove.py

eljimenezj/Team_51_DS4A_2021

6f8e1fca0962e1698e4b533fee6eabd36abea1cf

[ "MIT" ]

null

import os def removg(): ban = True while ban: if os.path.exists("static/graphs/graphs1.html"): os.remove("static/graphs/graphs1.html") ban = True else: ban = False plt_html = "<html><body></body></html>" Html_file= open("static/graphs/graphs1.html","x") Html_file.write(plt_html) Html_file.close() def removgw(): ban = True while ban: if os.path.exists("static/graphs/graphw1.html"): os.remove("static/graphs/graphw1.html") ban = True else: ban = False plt_html = "<html><body></body></html>" Html_file= open("static/graphs/graphw1.html","x") Html_file.write(plt_html) Html_file.close()

26.551724

57

0.551948

96

770

4.322917

0.270833

0.173494

0.106024

0.166265

0.833735

0.718072

0

0.011173

0.302597

770

29

58

26.551724

0.761639

0

0.64

0

0.282638

0.279946

0

1

0.08

false

0

0.04

0

0.12

0

null

0

1

0

null

0

7

fe239c67258cb96f56c3d1cd75713f86cca4908e

8,717

py

Python

irs/irsdata/models.py

jsfenfen/irs_527

40b9bfef3cd0b63d61d13240073127864a89b27d

[ "BSD-2-Clause" ]

2

2020-03-14T20:59:24.000Z

2020-06-02T17:03:51.000Z

irs/irsdata/models.py

dwillis/irs_527

40b9bfef3cd0b63d61d13240073127864a89b27d

[ "BSD-2-Clause" ]

null

irs/irsdata/models.py

dwillis/irs_527

40b9bfef3cd0b63d61d13240073127864a89b27d

[ "BSD-2-Clause" ]

2

2016-07-06T21:51:50.000Z

2020-06-02T17:03:54.000Z

from django.db import models # Create your models here. class irs_header(models.Model): record_type = models.CharField(max_length=1, help_text="Record Type") form_type = models.IntegerField(help_text="Form Type") form_id = models.CharField(max_length=38, help_text="Form ID Number") period_start = models.CharField(max_length=8, help_text="PERIOD Begin Date") period_end = models.CharField(max_length=8, help_text="PERIOD End Date") is_initial = models.NullBooleanField(help_text="Initial Report Indicator", default=False) is_amended = models.NullBooleanField(help_text="Amended Report Indicator", null=True) is_final = models.NullBooleanField(help_text="Final Report Indicator", null=True) address_change = models.NullBooleanField(help_text="Change of Address Indicator", null=True) org_name = models.CharField(max_length=70, help_text="ORGANIZATION NAME") ein = models.CharField(max_length=9, help_text="EIN") address1 = models.CharField(max_length=50, null=True, blank=True, help_text="MAILING ADDRESS 1") address2 = models.CharField(max_length=50, null=True, blank=True, help_text="MAILING ADDRESS 2") city = models.CharField(max_length=50, null=True, blank=True, help_text="MAILING ADDRESS CITY") state = models.CharField(max_length=2, null=True, blank=True, help_text="MAILING ADDRESS STATE") zipcode = models.CharField(max_length=5, null=True, blank=True, help_text="MAILING ADDRESS ZIP CODE") zip4 = models.CharField(max_length=4, null=True, blank=True, help_text="MAILING ADDRESS ZIP EXT") email = models.CharField(max_length=150, null=True, blank=True, help_text="E_MAIL ADDRESS") org_date = models.CharField(max_length=50, null=True, blank=True, help_text="ORG FORMATION DATE") cust_name = models.CharField(max_length=50, null=True, blank=True, help_text="CUSTODIAN NAME") cust_add1 = models.CharField(max_length=50, null=True, blank=True, help_text="CUSTODIAN ADDRESS 1") cust_add2 = models.CharField(max_length=50, null=True, blank=True, help_text="CUSTODIAN ADDRESS 2") cust_city = models.CharField(max_length=50, null=True, blank=True, help_text="CUSTODIAN ADDRESS CITY") cust_state = models.CharField(max_length=2, null=True, blank=True, help_text="CUSTODIAN ADDRESS STATE") cust_zip = models.CharField(max_length=50, null=True, blank=True, help_text="CUSTODIAN ADDRESS ZIP CODE") cust_zip4 = models.CharField(max_length=50, null=True, blank=True, help_text="CUSTODIAN ADDRESS ZIP EXT") contact = models.CharField(max_length=50, null=True, blank=True, help_text="CONTACT PERSON NAME") contact_add1 = models.CharField(max_length=50, null=True, blank=True, help_text="CONTACT ADDRESS 1") contact_add2 = models.CharField(max_length=50, null=True, blank=True, help_text="CONTACT ADDRESS 2") contact_city = models.CharField(max_length=50, null=True, blank=True, help_text="CONTACT ADDRESS CITY") contact_state = models.CharField(max_length=2, null=True, blank=True, help_text="CONTACT ADDRESS STATE") contact_zip = models.CharField(max_length=50, null=True, blank=True, help_text="CONTACT ADDRESS ZIP CODE") contact_zip4 = models.CharField(max_length=50, null=True, blank=True, help_text="CONTACT ADDRESS ZIP EXT") biz_add1 = models.CharField(max_length=50, null=True, blank=True, help_text="BUSINESS ADDRESS 1") biz_add2 = models.CharField(max_length=50, null=True, blank=True, help_text="BUSINESS ADDRESS 2") biz_city = models.CharField(max_length=50, null=True, blank=True, help_text="BUSINESS ADDRESS CITY") biz_state = models.CharField(max_length=2, null=True, blank=True, help_text="BUSINESS ADDRESS STATE") biz_zip = models.CharField(max_length=50, null=True, blank=True, help_text="BUSINESS ADDRESS ZIP CODE") biz_zip4 = models.CharField(max_length=50, null=True, blank=True, help_text="BUSINESS ADDRESS ZIP EXT") qtr_ind = models.CharField(max_length=1, null=True, blank=True, help_text="QTR INDICATOR - '1' = First Quarterly '2' = Second Quarterly '3' = Third Quarterly '4' = Year-end '5' = Mid-Year '6' = Monthly '7' = Pre-election '8' = Post-election") rpt_month = models.CharField(max_length=2, null=True, blank=True, help_text="MONTHLY RPT MONTH; If QTR Indicator - Monthly, Month is filled") pre_elect_type = models.CharField(max_length=10, null=True, blank=True, help_text="PRE ELECT TYPE - Null if this is a post election rpt") elect_date = models.CharField(max_length=8, null=True, blank=True, help_text="PRE or POST ELECT DATE") elect_state = models.CharField(max_length=2, null=True, blank=True, help_text="PRE or POST ELECT STATE") skeda = models.NullBooleanField(help_text="SCHED_A_IND") skeda_tot = models.DecimalField(max_digits=13, decimal_places=2, help_text="TOTAL_SCHED_A") skedb = models.NullBooleanField(help_text="SCHED_B_IND") skedb_tot = models.DecimalField(max_digits=13, decimal_places=2, help_text="TOTAL_SCHED_B") insert_time = models.CharField(max_length=19, null=True, blank=True, help_text="INSERT_DATETIME") dummy = models.NullBooleanField(help_text="empty", null=True) class skeda(models.Model): record_type = models.CharField(max_length=1, help_text="Record Type") form_id = models.CharField(max_length=38, help_text="Form ID Number") skeda_id = models.CharField(max_length=38, help_text="sked A ID Number") org_name = models.CharField(max_length=70, help_text="ORGANIZATION NAME") ein = models.CharField(max_length=9, help_text="EIN") contrib_name = models.CharField(max_length=70, null=True, blank=True, help_text="CONTRIBUTOR NAME") contrib_add1 = models.CharField(max_length=50, null=True, blank=True, help_text="CONTRIBUTOR ADDRESS 1") contrib_add2 = models.CharField(max_length=50, null=True, blank=True, help_text="CONTRIBUTOR ADDRESS 2") contrib_city = models.CharField(max_length=50, null=True, blank=True, help_text="CONTRIBUTOR ADDRESS CITY") contrib_state = models.CharField(max_length=2, null=True, blank=True, help_text="CONTRIBUTOR ADDRESS STATE") contrib_zip = models.CharField(max_length=50, null=True, blank=True, help_text="CONTRIBUTOR ADDRESS ZIP CODE") contrib_zip4 = models.CharField(max_length=50, null=True, blank=True, help_text="CONTRIBUTOR ADDRESS ZIP EXT") contrib_employer = models.CharField(max_length=70, null=True, blank=True, help_text="CONTRIBUTOR EMPLOYER") contrib_amount= models.DecimalField(max_digits=13, decimal_places=2, null=True, blank=True,help_text="CONTRIBUTION AMOUNT") contrib_occupation = models.CharField(max_length=70, null=True, blank=True, help_text="CONTRIBUTOR OCCUPATION") contrib_ytd_amount= models.DecimalField(max_digits=13, decimal_places=2, null=True, blank=True, help_text="AGG CONTRIBUTION YTD") contrib_date = models.CharField(max_length=8, null=True, blank=True, help_text="CONTRIBUTION DATE") dummy = models.NullBooleanField(help_text="empty", null=True) class skedb(models.Model): record_type = models.CharField(max_length=1, help_text="Record Type") form_id = models.CharField(max_length=38, help_text="Form ID Number") skedb_id = models.CharField(max_length=38, help_text="sked B ID Number") org_name = models.CharField(max_length=70, help_text="ORGANIZATION NAME") ein = models.CharField(max_length=9, help_text="EIN") recip_name = models.CharField(max_length=50, null=True, blank=True, help_text="RECIPIENT NAME") recip_add1 = models.CharField(max_length=50, null=True, blank=True, help_text="RECIPIENT ADDRESS 1") recip_add2 = models.CharField(max_length=50, null=True, blank=True, help_text="RECIPIENT ADDRESS 2") recip_city = models.CharField(max_length=50, null=True, blank=True, help_text="RECIPIENT ADDRESS CITY") recip_state = models.CharField(max_length=2, null=True, blank=True, help_text="RECIPIENT ADDRESS STATE") recip_zip = models.CharField(max_length=50, null=True, blank=True, help_text="RECIPIENT ADDRESS ZIP CODE") recip_zip4 = models.CharField(max_length=50, null=True, blank=True, help_text="RECIPIENT ADDRESS ZIP EXT") recip_employer = models.CharField(max_length=70, null=True, blank=True, help_text="RECIPIENT EMPLOYER") exp_amount= models.DecimalField(max_digits=13, decimal_places=2, null=True, blank=True, help_text="EXPENDITURE AMOUNT") recip_occupation = models.CharField(max_length=70, null=True, blank=True, help_text="RECIPIENT OCCUPATION") exp_date = models.CharField(max_length=8, null=True, blank=True, help_text="EXPENDITURE DATE") exp_purpose = models.CharField(max_length=512, null=True, blank=True, help_text="EXPENDITURE PURPOSE") dummy = models.NullBooleanField(help_text="empty", null=True)

88.050505

247

0.760812

1,295

8,717

4.928185

0.104247

0.107803

0.200251

0.267001

0.789878

0.765591

0.753212

0.735976

0.701661

0.659354

0

0.022757

0.117816

8,717

98

248

88.94898

0.807152

0.002753

0

0.166667

0

0.011111

0.20465

0

1

0

false

0

0.011111

0

1

0

null

0

1

0

1

0

null

0

1

0

8

fe3e5eae091157cf565c3083b7e5a6fd6f145f4e

33,494

py

Python

ts_control.py

ubbu36/CMIP6_pacific_analysis

b348142f76d3d5e76bd3908235495adf564d6756

[ "MIT" ]

4

2021-08-02T02:21:52.000Z

2022-01-29T04:00:40.000Z

ts_control.py

ubbu36/CMIP6_pacific_analysis

b348142f76d3d5e76bd3908235495adf564d6756

[ "MIT" ]

null

ts_control.py

ubbu36/CMIP6_pacific_analysis

b348142f76d3d5e76bd3908235495adf564d6756

[ "MIT" ]

1

2021-08-02T02:21:40.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri Mar 6 18:29:28 2020 @author: ullaheede """ # -*- coding: utf-8 -*- """ Spyder Editor This is a temporary script file. """ # module import import matplotlib.pyplot as plt import cartopy.crs as ccrs import numpy as np import xarray as xr import xesmf as xe import pandas as pd model_names=['ACCESS-CM2','ACCESS-ESM1-5','BCC-CSM2-MR','BCC-ESM1','CAMS-CSM1-0','CanESM5','CAS-ESM2-0','CESM2','CESM2-FV','CESM2-WACCM','CESM2-WACCM-FV2',\ 'CIESM','CMCC-CM2-SR5','CNRM-CM6','CNRM-CM6-HR','CNRM-ESM2-1','E3SM','FGOALS-f3-L','FGOALS-g3','GFDL-CM4','GFDL-ESM4','GISS-E2-1-G','GISS-E2-1-H',\ 'HadGEM3-GC31-LL','HadGEM3-GC3-MM','INM-CM4-8','INM-CM5-0','IPSL-CM6A','KACE-1-0-G','MCM-UA-1-0','MIROC-ES2L','MIROC6','MPI-ESM-1-2-HAM','MPI-ESM1-2-LR',\ 'MRI-ESM2','NESM3','NorCPM1','SAM0-UNICORN','TaiESM1','UKESM1-0-LL'] def regrid_anomaly(control): #control uas_control= control['ts'] # uas_control= control['U'] #4xCO2 # uas_4xCO2=forcing['ts'] # uas_4xCO2=forcing['U'] control_timemean=uas_control.mean("time") #uas_4xCO2_anom=uas_4xCO2#-control_timemean #uas_4xCO2_anom_an=uas_4xCO2_anom # uas_4xCO2_anom_an=uas_4xCO2_anom.groupby('time.year').mean('time') ds_out = xr.Dataset({'lat': (['lat'], np.arange(-88, 90, 1.0)), 'lon': (['lon'], np.arange(0, 359, 1)), } ) regridder = xe.Regridder(control_timemean, ds_out, 'bilinear') uas_regrid = regridder(control_timemean) # uas_regrid = uas_regrid.assign_coords(year=list(range(a))) return uas_regrid ### load and concatenate data ### control = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_ACCESS-CM2_piControl_r1i1p1f1_gn_095001-144912.nc') forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_ACCESS-CM2_abrupt-4xCO2_r1i1p1f1_gn_095001-109912.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=output control1 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_ACCESS-ESM1-5_piControl_r1i1p1f1_gn_010101-060012.nc') control2 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_ACCESS-ESM1-5_piControl_r1i1p1f1_gn_060101-100012.nc') control=xr.concat([control1,control2],'time') forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_ACCESS-ESM1-5_abrupt-4xCO2_r1i1p1f1_gn_010101-025012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') control = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_BCC-CSM2-MR_piControl_r1i1p1f1_gn_185001-244912.nc') forcing=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_BCC-CSM2-MR_abrupt-4xCO2_r1i1p1f1_gn_185001-200012.nc') a=int(forcing.sizes['time']/12) uas_BCC_ESM1=regrid_anomaly(control) mylist=xr.concat([mylist,uas_BCC_ESM1], 'new_dim') control = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_BCC-ESM1_piControl_r1i1p1f1_gn_185001-230012.nc') forcing=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_BCC-ESM1_abrupt-4xCO2_r1i1p1f1_gn_185001-200012.nc') a=int(forcing.sizes['time']/12) uas_BCC_ESM1=regrid_anomaly(control) mylist=xr.concat([mylist,uas_BCC_ESM1], 'new_dim') control1 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CAMS-CSM1-0_piControl_r1i1p1f1_gn_290001-314912.nc') control2 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CAMS-CSM1-0_piControl_r1i1p1f1_gn_315001-339912.nc') control=xr.concat([control1,control2],'time') forcing = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_ACCESS-ESM1-5_abrupt-4xCO2_r1i1p1f1_gn_010101-025012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') control1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CanESM5_piControl_r1i1p1f1_gn_600101-620012.nc') control2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CanESM5_piControl_r1i1p2f1_gn_560101-580012.nc') control3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CanESM5_piControl_r1i1p2f1_gn_580101-600012.nc') control=xr.concat([control1,control2,control3],'time') forcing=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CanESM5_abrupt-4xCO2_r1i1p1f1_gn_185001-200012.nc') a=int(forcing.sizes['time']/12) uas_CanESM5=regrid_anomaly(control) mylist=xr.concat([mylist,uas_CanESM5], 'new_dim') control= xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CAS-ESM2-0_piControl_r1i1p1f1_gn_000101-054912.nc') output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') control1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CESM2_piControl_r1i1p1f1_gn_000101-009912.nc') control2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CESM2_piControl_r1i1p1f1_gn_010001-019912.nc') control3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CESM2_piControl_r1i1p1f1_gn_020001-029912.nc') control=xr.concat([control1,control2,control3],'time') forcing1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CESM2_abrupt-4xCO2_r1i1p1f1_gn_000101-015012.nc') forcing2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CESM2_abrupt-4xCO2_r1i1p1f1_gn_015101-019912.nc') forcing3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CESM2_abrupt-4xCO2_r1i1p1f1_gn_020001-024912.nc') forcing4=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CESM2_abrupt-4xCO2_r1i1p1f1_gn_025001-029912.nc') forcing=xr.concat([forcing1,forcing2,forcing3,forcing4],'time') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output],'new_dim') control1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CESM2-FV2_piControl_r1i1p1f1_gn_000101-005012.nc') control2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CESM2-FV2_piControl_r1i1p1f1_gn_005101-010012.nc') control3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CESM2-FV2_piControl_r1i1p1f1_gn_010101-015012.nc') control4=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CESM2-FV2_piControl_r1i1p1f1_gn_015101-020012.nc') control=xr.concat([control1,control2,control3,control4],'time') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output],'new_dim') control1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CESM2-WACCM_piControl_r1i1p1f1_gn_000101-009912.nc') control2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CESM2-WACCM_piControl_r1i1p1f1_gn_010001-019912.nc') control=xr.concat([control1,control2],'time') forcing1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CESM2-WACCM_abrupt-4xCO2_r1i1p1f1_gn_000101-004912.nc') forcing2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CESM2-WACCM_abrupt-4xCO2_r1i1p1f1_gn_005001-009912.nc') forcing3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CESM2-WACCM_abrupt-4xCO2_r1i1p1f1_gn_010001-015012.nc') forcing=xr.concat([forcing1,forcing2,forcing3],'time') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') control1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CESM2-WACCM-FV2_piControl_r1i1p1f1_gn_000101-004912.nc') control2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CESM2-WACCM-FV2_piControl_r1i1p1f1_gn_005001-009912.nc') control3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CESM2-WACCM-FV2_piControl_r1i1p1f1_gn_010001-014912.nc') control4=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CESM2-WACCM-FV2_piControl_r1i1p1f1_gn_015001-019912.nc') control=xr.concat([control1,control2,control3,control4],'time') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output],'new_dim') control1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CIESM_piControl_r1i1p1f1_gr_000101-005012.nc') control2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CIESM_piControl_r1i1p1f1_gr_005101-010012.nc') control3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CIESM_piControl_r1i1p1f1_gr_010101-015012.nc') control4=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CIESM_piControl_r1i1p1f1_gr_015101-020012.nc') control=xr.concat([control1,control2,control3,control4],'time') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output],'new_dim') control = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CMCC-CM2-SR5_piControl_r1i1p1f1_gn_185001-209912.nc') output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') control = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CNRM-CM6-1_piControl_r1i1p1f2_gr_185001-234912.nc') forcing=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CNRM-CM6-1_abrupt-4xCO2_r1i1p1f2_gr_185001-199912.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') del output control = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CNRM-CM6-1-HR_piControl_r1i1p1f2_gr_185001-214912.nc') output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') del output control = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CNRM-ESM2-1_piControl_r1i1p1f2_gr_185001-234912.nc') forcing=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_CNRM-ESM2-1_abrupt-4xCO2_r1i1p1f2_gr_185001-199912.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') del output control1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_E3SM-1-0_piControl_r1i1p1f1_gr_010101-012512.nc') control2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_E3SM-1-0_piControl_r1i1p1f1_gr_012601-015012.nc') control3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_E3SM-1-0_piControl_r1i1p1f1_gr_015101-017512.nc') control4=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_E3SM-1-0_piControl_r1i1p1f1_gr_017601-020012.nc') control5=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_E3SM-1-0_piControl_r1i1p1f1_gr_020101-022512.nc') control6=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_E3SM-1-0_piControl_r1i1p1f1_gr_022601-025012.nc') control=xr.concat([control1,control2,control3,control4,control5,control6],'time') output=regrid_anomaly(control) mylist=xr.concat([mylist,output],'new_dim') control = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-f3-L_piControl_r1i1p1f1_gr_060001-116012.nc') forcing=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-f3-L_abrupt-4xCO2_r1i1p1f1_gr_185001-200912.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') del output control1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-g3_piControl_r1i1p1f1_gn_020001-020912.nc') control2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-g3_piControl_r1i1p1f1_gn_021001-021912.nc') control3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-g3_piControl_r1i1p1f1_gn_022001-022912.nc') control4=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-g3_piControl_r1i1p1f1_gn_023001-023912.nc') control5=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-g3_piControl_r1i1p1f1_gn_024001-024912.nc') control6=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-g3_piControl_r1i1p1f1_gn_025001-025912.nc') control7=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-g3_piControl_r1i1p1f1_gn_026001-026912.nc') control8=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-g3_piControl_r1i1p1f1_gn_027001-027912.nc') control9=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-g3_piControl_r1i1p1f1_gn_029001-029912.nc') control10=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-g3_piControl_r1i1p1f1_gn_030001-030912.nc') control11=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-g3_piControl_r1i1p1f1_gn_031001-031912.nc') control12=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-g3_piControl_r1i1p1f1_gn_032001-032912.nc') control13=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-g3_piControl_r1i1p1f1_gn_033001-033912.nc') control14=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-g3_piControl_r1i1p1f1_gn_034001-034912.nc') control15=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-g3_piControl_r1i1p1f1_gn_035001-035912.nc') control16=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-g3_piControl_r1i1p1f1_gn_036001-036912.nc') control17=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-g3_piControl_r1i1p1f1_gn_037001-037912.nc') control18=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-g3_piControl_r1i1p1f1_gn_038001-038912.nc') control19=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_FGOALS-g3_piControl_r1i1p1f1_gn_039001-039912.nc') control=xr.concat([control1,control2,control3,control4,control5,control6, control7, control8, control9, control10, control11,\ control12, control13, control14, control15, control16, control17, control18, control19],'time') output=regrid_anomaly(control) mylist=xr.concat([mylist,output],'new_dim') control1 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GFDL-CM4_piControl_r1i1p1f1_gr1_055101-065012.nc') control2 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GFDL-CM4_piControl_r1i1p1f1_gr1_055101-065012.nc') control=xr.concat([control1,control2],'time') forcing1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GFDL-CM4_abrupt-4xCO2_r1i1p1f1_gr1_000101-010012.nc') forcing2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GFDL-CM4_abrupt-4xCO2_r1i1p1f1_gr1_010101-015012.nc') forcing=xr.concat([forcing1,forcing2],'time') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') del output control1 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GFDL-ESM4_piControl_r1i1p1f1_gr1_040101-050012.nc') control2 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GFDL-ESM4_piControl_r1i1p1f1_gr1_040101-050012.nc') control=xr.concat([control1,control2],'time') forcing1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GFDL-ESM4_abrupt-4xCO2_r1i1p1f1_gr1_000101-010012.nc') forcing2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GFDL-ESM4_abrupt-4xCO2_r1i1p1f1_gr1_010101-015012.nc') forcing=xr.concat([forcing1,forcing2],'time') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') del output control1 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GISS-E2-1-G_piControl_r1i1p1f1_gn_415001-420012.nc') control2 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GISS-E2-1-G_piControl_r1i1p1f1_gn_420101-425012.nc') control3 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GISS-E2-1-G_piControl_r1i1p1f1_gn_425101-430012.nc') control=xr.concat([control1,control2, control3],'time') forcing1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GISS-E2-1-G_abrupt-4xCO2_r1i1p1f1_gn_190101-195012.nc') forcing2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GISS-E2-1-G_abrupt-4xCO2_r1i1p1f1_gn_195101-200012.nc') forcing3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GISS-E2-1-G_abrupt-4xCO2_r1i1p1f3_gn_290001-294912.nc') forcing4=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GISS-E2-1-G_abrupt-4xCO2_r1i1p1f3_gn_295001-299912.nc') forcing=xr.concat([forcing1,forcing2, forcing3, forcing4],'time') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') del output control1 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GISS-E2-1-H_piControl_r1i1p1f1_gn_318001-323012.nc') control2 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GISS-E2-1-H_piControl_r1i1p1f1_gn_323101-328012.nc') control3 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GISS-E2-1-H_piControl_r1i1p1f1_gn_328101-333012.nc') control=xr.concat([control1,control2, control3],'time') forcing1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GISS-E2-1-H_abrupt-4xCO2_r1i1p1f1_gn_185001-190012.nc') forcing2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GISS-E2-1-H_abrupt-4xCO2_r1i1p1f1_gn_190101-195012.nc') forcing3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GISS-E2-1-H_abrupt-4xCO2_r1i1p1f1_gn_195101-200012.nc') forcing=xr.concat([forcing1,forcing2, forcing3],'time') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') del output #control1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GISS-E2-2-G_piControl_r1i1p1f1_gn_200001-202512.nc') #control2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GISS-E2-2-G_piControl_r1i1p1f1_gn_202601-205012.nc') #control3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GISS-E2-2-G_piControl_r1i1p1f1_gn_205101-207512.nc') #control4=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GISS-E2-2-G_piControl_r1i1p1f1_gn_207601-210012.nc') #control5=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GISS-E2-2-G_piControl_r1i1p1f1_gn_210101-212512.nc') #control6=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_GISS-E2-2-G_piControl_r1i1p1f1_gn_212601-215012.nc') #control=xr.concat([control1,control2,control3,control4,control5,control6],'time') #output=regrid_anomaly(control) #mylist=xr.concat([mylist,output],'new_dim') #del output control1 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_HadGEM3-GC31-LL_piControl_r1i1p1f1_gn_225001-234912.nc') control2 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_HadGEM3-GC31-LL_piControl_r1i1p1f1_gn_225001-234912.nc') control=xr.concat([control1,control2],'time') forcing1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_HadGEM3-GC31-LL_abrupt-4xCO2_r1i1p1f3_gn_185001-194912.nc') forcing2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_HadGEM3-GC31-LL_abrupt-4xCO2_r1i1p1f3_gn_195001-199912.nc') forcing=xr.concat([forcing1,forcing2],'time') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') del output control1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_HadGEM3-GC31-MM_piControl_r1i1p1f1_gn_185001-186912.nc') control2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_HadGEM3-GC31-MM_piControl_r1i1p1f1_gn_187001-188912.nc') control3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_HadGEM3-GC31-MM_piControl_r1i1p1f1_gn_189001-190912.nc') control4=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_HadGEM3-GC31-MM_piControl_r1i1p1f1_gn_191001-192912.nc') control5=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_HadGEM3-GC31-MM_piControl_r1i1p1f1_gn_193001-194912.nc') control6=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_HadGEM3-GC31-MM_piControl_r1i1p1f1_gn_195001-196912.nc') control4=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_HadGEM3-GC31-MM_piControl_r1i1p1f1_gn_197001-198912.nc') control5=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_HadGEM3-GC31-MM_piControl_r1i1p1f1_gn_201001-202912.nc') control6=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_HadGEM3-GC31-MM_piControl_r1i1p1f1_gn_203001-204912.nc') control=xr.concat([control1,control2,control3,control4,control5,control6],'time') output=regrid_anomaly(control) mylist=xr.concat([mylist,output],'new_dim') del output control1 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_INM-CM4-8_piControl_r1i1p1f1_gr1_185001-194912.nc') control2 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_INM-CM4-8_piControl_r1i1p1f1_gr1_195001-204912.nc') control3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_INM-CM4-8_piControl_r1i1p1f1_gr1_205001-214912.nc') control=xr.concat([control1,control2,control3],'time') forcing1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_INM-CM4-8_abrupt-4xCO2_r1i1p1f1_gr1_185001-194912.nc') forcing2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_INM-CM4-8_abrupt-4xCO2_r1i1p1f1_gr1_195001-199912.nc') forcing=xr.concat([forcing1,forcing2],'time') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') del output control1 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_INM-CM5-0_piControl_r1i1p1f1_gr1_199601-209512.nc') control2 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_INM-CM5-0_piControl_r1i1p1f1_gr1_209601-219512.nc') control=xr.concat([control1,control2],'time') forcing1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_INM-CM5-0_abrupt-4xCO2_r1i1p1f1_gr1_185001-194912.nc') forcing2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_INM-CM5-0_abrupt-4xCO2_r1i1p1f1_gr1_195001-199912.nc') forcing=xr.concat([forcing1,forcing2],'time') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') del output control = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_IPSL-CM6A-LR_piControl_r1i1p1f1_gr_285001-304912.nc') #control = xr.decode_cf(control) forcing=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_IPSL-CM6A-LR_abrupt-4xCO2_r1i1p1f1_gr_185001-214912.nc',use_cftime=True) a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') del output control1 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_KACE-1-0-G_piControl_r1i1p1f1_gr_200001-209912.nc') control2 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_KACE-1-0-G_piControl_r1i1p1f1_gr_210001-219912.nc') control=xr.concat([control1,control2],'time') output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') del output control1 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MCM-UA-1-0_piControl_r1i1p1f1_gn_000101-010012.nc') control2 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MCM-UA-1-0_piControl_r1i1p1f1_gn_010101-020012.nc') control3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MCM-UA-1-0_piControl_r1i1p1f1_gn_020101-030012.nc') control=xr.concat([control1,control2,control3],'time') control = control.rename({'longitude': 'lon', 'latitude': 'lat'}) forcing1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MCM-UA-1-0_abrupt-4xCO2_r1i1p1f1_gn_000101-010012.nc') forcing2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MCM-UA-1-0_abrupt-4xCO2_r1i1p1f1_gn_010101-020012.nc') forcing3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MCM-UA-1-0_abrupt-4xCO2_r1i1p1f1_gn_020101-030012.nc') forcing=xr.concat([forcing1,forcing2,forcing3],'time') forcing = forcing.rename({'longitude': 'lon', 'latitude': 'lat'}) a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') del output control = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MIROC-ES2L_piControl_r1i1p1f2_gn_225001-234912.nc') forcing=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MIROC-ES2L_abrupt-4xCO2_r1i1p1f2_gn_185001-199912.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') del output control1 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MIROC6_piControl_r1i1p1f1_gn_330001-339912.nc') control2 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MIROC6_piControl_r1i1p1f1_gn_340001-349912.nc') control3 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MIROC6_piControl_r1i1p1f1_gn_390001-399912.nc') control=xr.concat([control1, control2,control3],'time') forcing1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MIROC6_abrupt-4xCO2_r1i1p1f1_gn_320001-329912.nc') forcing2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MIROC6_abrupt-4xCO2_r1i1p1f1_gn_330001-334912.nc') forcing3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MIROC6_abrupt-4xCO2_r1i1p1f1_gn_335001-344912.nc') forcing=xr.concat([forcing1,forcing2, forcing3],'time') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') del output control1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MPI-ESM-1-2-HAM_piControl_r1i1p1f1_gn_185001-186912.nc') control2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MPI-ESM-1-2-HAM_piControl_r1i1p1f1_gn_187001-188912.nc') control3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MPI-ESM-1-2-HAM_piControl_r1i1p1f1_gn_189001-190912.nc') control4=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MPI-ESM-1-2-HAM_piControl_r1i1p1f1_gn_191001-192912.nc') control5=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MPI-ESM-1-2-HAM_piControl_r1i1p1f1_gn_193001-194912.nc') control6=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MPI-ESM-1-2-HAM_piControl_r1i1p1f1_gn_195001-196912.nc') control4=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MPI-ESM-1-2-HAM_piControl_r1i1p1f1_gn_197001-198912.nc') control5=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MPI-ESM-1-2-HAM_piControl_r1i1p1f1_gn_199001-200912.nc') control6=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MPI-ESM-1-2-HAM_piControl_r1i1p1f1_gn_201001-202912.nc') control7=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MPI-ESM-1-2-HAM_piControl_r1i1p1f1_gn_203001-204912.nc') control=xr.concat([control1,control2,control3,control4,control5,control6, control7],'time') output=regrid_anomaly(control) mylist=xr.concat([mylist,output],'new_dim') del output control1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MPI-ESM1-2-LR_piControl_r1i1p1f1_gn_185001-186912.nc') control2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MPI-ESM1-2-LR_piControl_r1i1p1f1_gn_187001-188912.nc') control3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MPI-ESM1-2-LR_piControl_r1i1p1f1_gn_189001-190912.nc') control4=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MPI-ESM1-2-LR_piControl_r1i1p1f1_gn_191001-192912.nc') control5=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MPI-ESM1-2-LR_piControl_r1i1p1f1_gn_193001-194912.nc') control6=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MPI-ESM1-2-LR_piControl_r1i1p1f1_gn_195001-196912.nc') control4=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MPI-ESM1-2-LR_piControl_r1i1p1f1_gn_197001-198912.nc') control5=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MPI-ESM1-2-LR_piControl_r1i1p1f1_gn_199001-200912.nc') control6=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MPI-ESM1-2-LR_piControl_r1i1p1f1_gn_201001-202912.nc') control7=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MPI-ESM1-2-LR_piControl_r1i1p1f1_gn_203001-204912.nc') control=xr.concat([control1,control2,control3,control4,control5,control6, control7],'time') output=regrid_anomaly(control) mylist=xr.concat([mylist,output],'new_dim') del output control = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MRI-ESM2-0_piControl_r1i1p1f1_gn_185001-255012.nc') forcing=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_MRI-ESM2-0_abrupt-4xCO2_r10i1p1f1_gn_185001-200012.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') del output control1 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_NESM3_piControl_r1i1p1f1_gn_050001-059912.nc') control2 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_NESM3_piControl_r1i1p1f1_gn_060001-069912.nc') control3 = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_NESM3_piControl_r1i1p1f1_gn_070001-079912.nc') control=xr.concat([control1, control2,control3],'time') forcing=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_NESM3_abrupt-4xCO2_r1i1p1f1_gn_185001-199912.nc') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') del output control1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_NorCPM1_piControl_r1i1p1f1_gn_000101-010012.nc') control2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_NorCPM1_piControl_r1i1p1f1_gn_010101-020012.nc') control3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_NorCPM1_piControl_r1i1p1f1_gn_020101-030012.nc') control=xr.concat([control1,control2,control3],'time') output=regrid_anomaly(control) mylist=xr.concat([mylist,output],'new_dim') control1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_SAM0-UNICON_piControl_r1i1p1f1_gn_000101-001012.nc') control2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_SAM0-UNICON_piControl_r1i1p1f1_gn_001101-002012.nc') control3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_SAM0-UNICON_piControl_r1i1p1f1_gn_002101-003012.nc') control4=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_SAM0-UNICON_piControl_r1i1p1f1_gn_003101-004012.nc') control5=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_SAM0-UNICON_piControl_r1i1p1f1_gn_004101-005012.nc') control6=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_SAM0-UNICON_piControl_r1i1p1f1_gn_005101-006012.nc') control7=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_SAM0-UNICON_piControl_r1i1p1f1_gn_007101-008012.nc') control8=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_SAM0-UNICON_piControl_r1i1p1f1_gn_008101-009012.nc') control9=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_SAM0-UNICON_piControl_r1i1p1f1_gn_009101-010012.nc') control10=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_SAM0-UNICON_piControl_r1i1p1f1_gn_010101-011012.nc') control11=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_SAM0-UNICON_piControl_r1i1p1f1_gn_011101-012012.nc') control12=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_SAM0-UNICON_piControl_r1i1p1f1_gn_012101-013012.nc') control13=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_SAM0-UNICON_piControl_r1i1p1f1_gn_013101-014012.nc') control14=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_SAM0-UNICON_piControl_r1i1p1f1_gn_014101-015012.nc') control15=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_SAM0-UNICON_piControl_r1i1p1f1_gn_015101-016012.nc') control16=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_SAM0-UNICON_piControl_r1i1p1f1_gn_016101-017012.nc') control17=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_SAM0-UNICON_piControl_r1i1p1f1_gn_017101-018012.nc') control18=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_SAM0-UNICON_piControl_r1i1p1f1_gn_018101-019012.nc') control19=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_SAM0-UNICON_piControl_r1i1p1f1_gn_019101-020012.nc') control=xr.concat([control1,control2,control3,control4,control5,control6, control7, control8, control9, control10, control11,\ control12, control13, control14, control15, control16, control17, control18, control19],'time') output=regrid_anomaly(control) mylist=xr.concat([mylist,output],'new_dim') del output control1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_TaiESM1_piControl_r1i1p1f1_gn_020101-030012.nc') control2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_TaiESM1_piControl_r1i1p1f1_gn_030101-040012.nc') control3=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_TaiESM1_piControl_r1i1p1f1_gn_040101-050012.nc') control=xr.concat([control1,control2,control3],'time') output=regrid_anomaly(control) mylist=xr.concat([mylist,output],'new_dim') control = xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_UKESM1-0-LL_piControl_r1i1p1f2_gn_255001-264912.nc') forcing1=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_UKESM1-0-LL_abrupt-4xCO2_r1i1p1f2_gn_185001-194912.nc') forcing2=xr.open_dataset('/Volumes/Armor_CMIP6/CMIP6_project/TS/ts_Amon_UKESM1-0-LL_abrupt-4xCO2_r1i1p1f2_gn_195001-199912.nc') forcing=xr.concat([forcing1,forcing2],'time') a=int(forcing.sizes['time']/12) output=regrid_anomaly(control) mylist=xr.concat([mylist,output], 'new_dim') del output xr.concat([mylist], pd.Index(list(model_names), name='new_dim')) mylist.to_netcdf('/Volumes/Armor_CMIP6/control_timemean_ts_1deg.nc')

68.215886

167

0.834358

5,372

33,494

4.85108

0.076322

0.090253

0.127859

0.149655

0.901266

0.888757

0.887145

0.881351

0.877513

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0.137161

0.028751

33,494

491

168

68.215886

0.663921

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null

0

1

0

1

null

0

8

fe69cfdae8bb435bd00465ad4af8bb82a23b2b55

66

py

Python

slides/deployment/python/3_multi_server_series_deploy.py

pxg/petegraham.co.uk

e5c49234ab8089c285e03b1877e067e3a30f151c

[ "MIT" ]

null

slides/deployment/python/3_multi_server_series_deploy.py

pxg/petegraham.co.uk

e5c49234ab8089c285e03b1877e067e3a30f151c

[ "MIT" ]

27

2015-07-31T10:41:04.000Z

2017-12-11T11:12:09.000Z

slides/deployment/python/3_multi_server_series_deploy.py

pxg/petegraham.co.uk

e5c49234ab8089c285e03b1877e067e3a30f151c

[ "MIT" ]

1

2015-08-04T12:15:19.000Z

def stage(): env.hosts = ['54.228.188.132', '54.228.188.133']

22

52

0.575758

12

66

3.166667

0.75

0.263158

0.421053

0

0.392857

0.151515

66

2

53

33

0.285714

0

0.424242

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1

0.5

true

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0.5

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null

1

0

1

0

1

0

1

0

null

0

1

0

8

fe774615d8062621c2ecd8edb7ede4de5df80302

4,616

py

Python

CGNet/CGNet.py

oscar-carlsson/CGNet

f9072b7d3b6b1efa0675870c2e6b9220a0d6cbc2

[ "Unlicense" ]

null

CGNet/CGNet.py

oscar-carlsson/CGNet

f9072b7d3b6b1efa0675870c2e6b9220a0d6cbc2

[ "Unlicense" ]

null

CGNet/CGNet.py

oscar-carlsson/CGNet

f9072b7d3b6b1efa0675870c2e6b9220a0d6cbc2

[ "Unlicense" ]

1

2021-10-14T07:45:05.000Z

import sys import os CUR_DIR = os.path.dirname(os.path.realpath(__file__)) REAL_PART = 0 IMAG_PART = 1 import torch.nn as nn import torch import numpy as np import ipdb import CGNet.CG_layers as cglayers class SphericalCNN(nn.Module): def __init__(self, lmax, taus, cuda=True, norm=True, skipconn=True, sparse_flag=False, weight_type="cost"): """ :param lmax: :param taus: list of list taus[i] is the # of fragments of each l for (intput of) the i-th layer. :param n_layers: :param cuda: only supports cuda=True now :param norm: perform "fragment normalization" or not :param skipconn: if True, take all l=0 fragments and concatenate them to be the invariance embedding """ assert cuda, "Do not support these parameters yet" # the maximum l is lmax (i.e. l in range(lmax+1)) super(SphericalCNN, self).__init__() self.lmax = lmax self.taus = taus # the rest of the layers are like in CGnet (all in cuda) self.n_layers = len(taus) - 1 self.cgs = nn.ModuleList([cglayers.CGBN_cuda(lmax, taus[layer_i], taus[layer_i + 1], batchnorm=norm, sparse_flag=sparse_flag, weight_type=weight_type) for layer_i in range(self.n_layers)]) # for the skip connection.. self.skipconn = skipconn if self.skipconn: self.output_length = 2 * sum([_taus[0] for _taus in taus]) else: self.output_length = 2 * taus[-1][0] if cuda: self.cuda() def forward(self, f_input): embedding = [] if isinstance(f_input, list): B = f_input[0].shape[0] if self.skipconn: embedding = [f_input[0].view(B, -1)] else: B = f_input.shape[0] if self.skipconn: embedding = [f_input[:, 0:(self.taus[0][0] * (2 * 0 + 1)), :].view(B, -1)] fs = f_input for i in range(self.n_layers): fs = self.cgs[i](fs, straight_output=False) if self.skipconn: embedding.append(fs[0].view(B, -1)) if self.skipconn: embedding = torch.cat(embedding, 1) else: embedding = fs[0].view(B, -1) return embedding class SphericalCNN_py(nn.Module): def __init__(self, lmax, taus, cuda=True, norm=True, skipconn=True, sparse_flag=False, weight_type="cost"): """ :param lmax: :param taus: list of list taus[i] is the # of fragments of each l for (intput of) the i-th layer. :param n_layers: :param cuda: only supports cuda=True now :param norm: perform "fragment normalization" or not :param skipconn: if True, take all l=0 fragments and concatenate them to be the invariance embedding """ assert cuda, "Do not support these parameters yet" # the maximum l is lmax (i.e. l in range(lmax+1)) super(SphericalCNN_py, self).__init__() self.lmax = lmax self.taus = taus # the rest of the layers are like in CGnet (all in cuda) self.n_layers = len(taus) - 1 self.cgs = nn.ModuleList([cglayers.CGBN_base(lmax, taus[layer_i], taus[layer_i + 1], batchnorm=norm, sparse_flag=sparse_flag, weight_type=weight_type) for layer_i in range(self.n_layers)]) # for the skip connection.. self.skipconn = skipconn if self.skipconn: self.output_length = 2 * sum([_taus[0] for _taus in taus]) else: self.output_length = 2 * taus[-1][0] if cuda: self.cuda() def forward(self, f_input): embedding = [] if isinstance(f_input, list): B = f_input[0].shape[0] if self.skipconn: embedding = [f_input[0].view(B, -1)] else: B = f_input.shape[0] if self.skipconn: embedding = [f_input[:, 0:(self.taus[0][0] * (2 * 0 + 1)), :].view(B, -1)] fs = f_input for i in range(self.n_layers): fs = self.cgs[i](fs, straight_output=False) if self.skipconn: embedding.append(fs[0].view(B, -1)) if self.skipconn: embedding = torch.cat(embedding, 1) else: embedding = fs[0].view(B, -1) return embedding

35.782946

118

0.546794

614

4,616

3.983713

0.185668

0.034342

0.057236

0.075225

0.918234

0

0.01791

0.346837

4,616

129

119

35.782946

0.793367

0.19974

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0.818182

0

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0.045455

false

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0.079545

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0.170455

0

null

0

1

0

1

0

null

0

7

fe9e74d972e0ccf6dd71c9c2c7028cf6413b9b2e

1,182

py

Python

gabriel_lego/lego_engine/tasks/task_L.py

molguin92/gabriel-lego-py3

2f8828326ca025997687a19d1af80bc1590a9290

[ "Apache-2.0" ]

1

2021-05-12T12:49:15.000Z

gabriel_lego/lego_engine/tasks/task_L.py

molguin92/gabriel-lego-py3

2f8828326ca025997687a19d1af80bc1590a9290

[ "Apache-2.0" ]

1

2019-09-10T23:41:41.000Z

2019-09-11T20:21:11.000Z

gabriel_lego/lego_engine/tasks/task_L.py

molguin92/gabriel-lego-py3

2f8828326ca025997687a19d1af80bc1590a9290

[ "Apache-2.0" ]

1

2022-02-22T15:29:27.000Z

#!/usr/bin/env python import numpy as np # Labels: nothing:0, white:1, green:2, yellow:3, red:4, blue:5, black:6, unsure:7 bitmaps = [np.array([[4, 4, 4, 4, 4, 4]]), np.array([[0, 6, 0, 0, 0, 0], [4, 4, 4, 4, 4, 4]]), np.array([[0, 6, 0, 6, 0, 0], [4, 4, 4, 4, 4, 4]]), np.array([[0, 6, 1, 6, 0, 0], [4, 4, 4, 4, 4, 4]]), np.array([[0, 6, 1, 6, 1, 0], [4, 4, 4, 4, 4, 4]]), np.array([[0, 1, 1, 1, 1, 0], [0, 6, 1, 6, 1, 0], [4, 4, 4, 4, 4, 4]]), np.array([[0, 1, 1, 1, 1, 0], [0, 6, 1, 6, 1, 0], [4, 4, 4, 4, 4, 4], [6, 6, 0, 0, 0, 0]]), np.array([[0, 1, 1, 1, 1, 0], [0, 6, 1, 6, 1, 0], [4, 4, 4, 4, 4, 4], [6, 6, 0, 0, 6, 6]]), np.array([[0, 2, 2, 2, 2, 0], [0, 1, 1, 1, 1, 0], [0, 6, 1, 6, 1, 0], [4, 4, 4, 4, 4, 4], [6, 6, 0, 0, 6, 6]]), ]

35.818182

81

0.258037

194

1,182

1.572165

0.139175

0.295082

0.354098

0.632787

0.622951

0

0.274783

0.513536

1,182

32

82

36.9375

0.255652

0.084602

0

0.62963

0

1

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false

0

0.037037

0

0.037037

0

1

null

1

0

1

0

1

0

1

0

null

0

8

fea9a7e827daeaf46b4d6433ff51205221e9c1e7

38,663

py

Python

Av2/atividade2.py

victorrsouzas/TeoriaDosGrafos

cbeb3fda4cf13eeb6e023383925851623a9165f0

[ "MIT" ]

1

2021-05-09T23:32:32.000Z

Av2/teste.py

victorrsouzas/TeoriaDosGrafos

cbeb3fda4cf13eeb6e023383925851623a9165f0

[ "MIT" ]

null

Av2/teste.py

victorrsouzas/TeoriaDosGrafos

cbeb3fda4cf13eeb6e023383925851623a9165f0

[ "MIT" ]

null

import time import networkx as nx import matplotlib.pyplot as plt import sys import numpy as np import glob buffer = 0 d = 1 e = 1 G = nx.DiGraph() # Direcionado G2 = nx.Graph() # Não Direcionado contaAresta = 0 def menu_Grafos(): print(""" ----------------------------- Teoria Grafos ----------------------------- """) time.sleep(1) while d == 1: print(""" ----------------------------- SISTEMA GRAFOS ----------------------------- VOCÊ DESEJA INICIAR UM GRAFO? - SIM - NÃO -----------------------------""") a = input(" Opção: ").upper() if a == "SIM": grafos() elif a == "NÃO" or a == "NAO": sys.exit() else: print("\nRESPONDA APENAS SIM OU NÃO") def menu_Tipo_Grafo(): print(""" ----------------------------- ADICIONAR GRAFO ----------------------------- """) print(""" Escolha a opção do grafo: (1) Direcionado (2) Não Direcionado (3) Sair """) def menu_Tipo(): print(""" ----------------------------- TIPO GRAFO ----------------------------- """) print(""" (1) Valorado (2) Não Valorado (3) Sair """) def menu_Visualização(peso, buffer): global opcao global contaAresta global G if (peso == 1 and buffer == 1) or (peso == 1 and buffer == 2): print(""" ----------------------------- VISUALIZAÇÃO ----------------------------- """) print(""" (1) Lista de arestas (2) Lista de graus (3) Lista de vertices (4) Tamanho do grafo (5) Matriz de adjacências (6) Verificar vertices adjacentes (7) Plot do Grafo (8) Algoritmo de Dijkstra (9) Algoritmo de Bellman-Ford (10) Sair """) opcao = int(input(" Opção: ")) print("\n") if (peso == 2 and buffer == 1) or (peso == 2 and buffer == 2): print(""" ----------------------------- VISUALIZAÇÃO ----------------------------- """) print(""" (1) Lista de arestas (2) Lista de graus (3) Lista de vertices (4) Tamanho do grafo (5) Matriz de adjacências (6) Verificar vertices adjacentes (7) Plot do Grafo (8) Sair """) opcao = int(input(" Opção: ")) print("\n") def menu_Opcoes(peso, buffer): global opcao global contaAresta global G if (peso == 1 and buffer == 1) or (peso == 1 and buffer == 2): print(""" ----------------------------- OPÇÕES ----------------------------- """) print(""" (1) Incluir Vertices e Arestas (2) Alterar Peso da Aresta (3) Remover Vertices (4) Visualizar o grafo e os dados (5) Importar arquivo .csv (6) Sair """) opcao = int(input(" Opção: ")) print("\n") if (peso == 2 and buffer == 1) or (peso == 2 and buffer == 2): print(""" ----------------------------- OPÇÕES ----------------------------- """) print(""" (1) Incluir Vertices (2) Remover Vertices (3) Visualizar o grafo e os dados (4) Importar arquivo .csv (5) Sair """) opcao = int(input(" Opção: ")) print("\n") def grafos(): while d == 1: menu_Tipo_Grafo() try: buffer = int(input(" Opção: ")) # FOR DIRECIONADO if buffer == 1: menu_Tipo() peso = int(input(" O seu grafo direcionado vai ser:")) # FOR DIRECIONADO E VALORADO if peso == 1: opcoes(peso, buffer) # FOR DIRECIONADO E NÃO VALORADO elif peso == 2: opcoes(peso, buffer) # SAIR DA OPÇÃO DIRECIONADO: VALORADO OU NÃO VALORADO elif peso == 3: menu_Grafos() # FOR NÃO DIRECIONADO elif buffer == 2: menu_Tipo() peso = int( input(" O seu grafo não direcionado vai ser: ")) # FOR NÃO DIRECIONADO E VALORADO if peso == 1: opcoes(peso, buffer) # FOR NÃO DIRECIONADO E NÃO VALORADO elif peso == 2: opcoes(peso, buffer) # SAIR elif peso == 3: menu_Grafos() elif buffer == 3: menu_Grafos() except ValueError: print(f" Erro no tipo da entrada {ValueError}") break def opcoes(peso, buffer): global opcao global contaAresta global G menu_Opcoes(peso, buffer) try: if (peso == 1 and buffer == 1) or (peso == 1 and buffer == 2): # INCLUIR VERTICE if opcao == 1: if (peso == 1 and buffer == 1) or (peso == 1 and buffer == 2): incluir_Vertice_ArestaValorado(peso, buffer) if (peso == 2 and buffer == 1) or (peso == 2 and buffer == 2): incluir_Vertice_ArestaNValorado(peso, buffer) return opcoes(peso, buffer) #ALTERAR O PESO DA ARESTA elif opcao == 2: alterarPeso(peso, buffer) return opcoes(peso,buffer) # REMOVER VERTICE elif opcao == 3: removerVertice() return opcoes(peso, buffer) # VISUALIZAR GRAFO E OS DADOS elif opcao == 4: opcoes_Visualização(peso, buffer) return opcoes(peso, buffer) # IMPORTAR DADOS .CSV elif opcao == 5: import_csv(peso, buffer) return opcoes(peso, buffer) # SAIR elif opcao == 6: export_csv(peso, buffer) return grafos() if (peso == 2 and buffer == 1) or (peso == 2 and buffer == 2): # INCLUIR VERTICE if opcao == 1: if (peso == 1 and buffer == 1) or (peso == 1 and buffer == 2): incluir_Vertice_ArestaValorado(peso, buffer) if (peso == 2 and buffer == 1) or (peso == 2 and buffer == 2): incluir_Vertice_ArestaNValorado(peso, buffer) return opcoes(peso, buffer) # REMOVER VERTICE elif opcao == 2: removerVertice() return opcoes(peso, buffer) # VISUALIZAR GRAFO E OS DADOS elif opcao == 3: opcoes_Visualização(peso, buffer) return opcoes(peso, buffer) # IMPORTAR DADOS .CSV elif opcao == 4: import_csv(peso, buffer) return opcoes(peso, buffer) # SAIR elif opcao == 5: export_csv(peso, buffer) return grafos() except ValueError: print(f"Erro no tipo da entrada {ValueError}") def export_csv(peso, buffer): if (peso == 1 and buffer == 1) or (peso == 1 and buffer == 2): x = input( " Você deseja exportar o grafo em .CSV [S/N]? ").upper() if x == "S": y = str(input(" Digite o nome do arquivo:")) nx.write_weighted_edgelist( G, # grafo y, # nome do arquivo delimiter=",", # separador encoding='utf-8' # codificação ) G.clear() G2.clear() contaAresta = 0 if x == "N": G.clear() G2.clear() contaAresta = 0 if (peso == 2 and buffer == 1) or (peso == 2 and buffer == 2): x = input( " Você deseja exportar o grafo em .CSV [S/N]? ").upper() if x == "S": y = str(input(" Digite o nome do arquivo:")) nx.write_weighted_edgelist( G2, # grafo y, # nome do arquivo delimiter=",", # separador encoding='utf-8' # codificação ) G.clear() G2.clear() contaAresta = 0 if x == "N": G.clear() G2.clear() contaAresta = 0 def import_csv(peso, buffer): if (peso == 1 and buffer == 1) or (peso == 1 and buffer == 2): print(""" ----------------------------- LISTA DE ARQUIVOS ----------------------------- """) for f in glob.glob('*.*'): print(f" {f}") print("\n") x = str(input(" Digite o nome do arquivo:")) if x in glob.glob('*.*'): graph = nx.read_weighted_edgelist(x, delimiter=',', create_using=G,nodetype=str,encoding='utf-8') else: print("\n Arquivo inexistente") if (peso == 2 and buffer == 1) or (peso == 2 and buffer == 2): print(""" ----------------------------- LISTA DE ARQUIVOS ----------------------------- """) for f in glob.glob('*.*'): print(f" {f}") print("\n") x = str(input(" Digite o nome do arquivo:")) if x in glob.glob('*.*'): graph = nx.read_weighted_edgelist(x, delimiter=',', create_using=G2,nodetype=str,encoding='utf-8') else: print("\n Arquivo inexistente") def incluir_Vertice_ArestaValorado(op, buff): global contaAresta global verticeInput1 global verticeInput2 global opcao global G try: while e == 1: if op == 1 and buff == 1: verticeInput1 = input(" Digite o vertice de saida: ") verticeInput2 = input(" Digite o vertice de chegada: ") if op == 1 and buff == 2: verticeInput1 = input(" Digite o vertice: ") verticeInput2 = input(" Digite o vertice: ") if ((verticeInput1 != verticeInput2) and (verticeInput2 != None) and (verticeInput1 != None)): if verticeInput2 != "": valor = int(input(" Digite o peso da aresta: ")) contaAresta += 1 G.add_node(verticeInput1) G2.add_node(verticeInput1) else: valor = 0 contaAresta += 1 G.add_node(verticeInput1) G2.add_node(verticeInput1) if verticeInput2 != "": G.add_node(verticeInput2) G2.add_node(verticeInput2) if op == 1 and buff == 1: G.add_edge(verticeInput1, verticeInput2, weight=valor) G2.add_edge(verticeInput1, verticeInput2) if op == 1 and buff == 2: G.add_edge(verticeInput1, verticeInput2) G2.add_edge(verticeInput1, verticeInput2, weight=valor) else: print(" Operação não válida, tente novamente") x = input( "\n Você deseja continuar adicionando vértices[S/N]? ").upper() if x == "S": continue if x == "N": break except ValueError: print(f" Erro no tipo da entrada {ValueError}") def incluir_Vertice_ArestaNValorado(op, buff): global contaAresta global verticeInput1 global verticeInput2 try: while e == 1: if op == 2 and buff == 1: verticeInput1 = input(" Digite o vertice de saida: ") verticeInput2 = input(" Digite o vertice de chegada: ") if op == 2 and buff == 2: verticeInput1 = input(" Digite o vertice: ") verticeInput2 = input(" Digite o vertice: ") if ((verticeInput1 != verticeInput2) and (verticeInput2 != None) and (verticeInput1 != None)): contaAresta += 1 if op == 2 and buff == 1: if verticeInput2 != "": G.add_node(verticeInput1) else: G.add_node(verticeInput1) if verticeInput2 != "": G.add_node(verticeInput2) G.add_edge(verticeInput1, verticeInput2) if op == 2 and buff == 2: if verticeInput2 != "": G2.add_node(verticeInput1) else: G2.add_node(verticeInput1) if verticeInput2 != "": G2.add_node(verticeInput2) G2.add_edge(verticeInput1, verticeInput2) x = input( "\n Você deseja continuar adicionando vértices[S/N]? ").upper() if x == "S": continue if x == "N": break except ValueError: print(f" Erro no tipo da entrada {ValueError}") def alterarPeso(op, buff): global opcao global contaAresta global G global verticeInput1 global verticeInput2 global opcao try: tamanho = len(G.nodes) if tamanho > 0: while e == 1: if op == 1 and buff == 1: verticeInput1 = input(" Digite o vertice de saida: ") for edge in G.edges(): if verticeInput1 == edge[0]: verticeInput2 = input(" Digite o vertice de chegada: ") if verticeInput2 == edge[1]: if ((verticeInput1 != verticeInput2) and (verticeInput2 != None) and (verticeInput1 != None)): if verticeInput2 != "": valor = int(input(" Digite o peso novo da aresta: ")) contaAresta += 1 G.add_node(verticeInput1) G2.add_node(verticeInput1) else: valor = 0 contaAresta += 1 G.add_node(verticeInput1) G2.add_node(verticeInput1) if verticeInput2 != "": G.add_node(verticeInput2) G2.add_node(verticeInput2) if op == 1 and buff == 1: G.add_edge(verticeInput1, verticeInput2, weight=valor) G2.add_edge(verticeInput1, verticeInput2) else: print(" Operação não válida, tente novamente") break else: print(" Não faz ligação com a origem") break else: print(" Não é um vertice de origem") x = input( "\n Você deseja continuar alterando o peso das arestas[S/N]? ").upper() if x == "S": continue if x == "N": break if op == 1 and buff == 2: verticeInput1 = input(" Digite o vertice: ") for edge in G.edges(): if verticeInput1 == edge[0]: verticeInput2 = input(" Digite o vertice: ") if verticeInput2 == edge[1]: if ((verticeInput1 != verticeInput2) and (verticeInput2 != None) and (verticeInput1 != None)): if verticeInput2 != "": valor = int(input(" Digite o peso novo da aresta: ")) contaAresta += 1 G.add_node(verticeInput1) G2.add_node(verticeInput1) else: valor = 0 contaAresta += 1 G.add_node(verticeInput1) G2.add_node(verticeInput1) if verticeInput2 != "": G.add_node(verticeInput2) G2.add_node(verticeInput2) if op == 1 and buff == 2: G.add_edge(verticeInput1, verticeInput2) G2.add_edge(verticeInput1, verticeInput2, weight=valor) else: print(" Operação não válida, tente novamente") else: print(" Não faz ligação com a origem") else: print(" Não é um vertice de origem") x = input( "\n Você deseja continuar alterando o peso das arestas[S/N]? ").upper() if x == "S": continue if x == "N": break else: print(" Lista Vazia") except ValueError: print(f" Erro no tipo da entrada {ValueError}") def removerVertice(): global opcao global contaAresta global G try: tamanho = len(G.nodes) if tamanho > 0: while e == 1: print(f"\n Lista de Vértices: {G.nodes()}") r = input(" Deseja remover qual vertice: ") if r in G.nodes(): G.remove_node(r) contaAresta -= 1 else: print(" Vertice não se encontra no grafo") x = input( "\n Você deseja continuar adicionando vértices[S/N]? ").upper() if x == "S": continue if x == "N": break else: print(" Lista Vazia") except ValueError: print(f" Erro no tipo da entrada {ValueError}") def opcoes_Visualização(peso, buffer): global opcao global contaAresta global G menu_Visualização(peso, buffer) if (peso == 1 and buffer == 1) or (peso == 1 and buffer == 2): if opcao == 1: gerar_Grafo_Lista(peso, buffer) return opcoes_Visualização(peso, buffer) elif opcao == 2: imprimir_GrauVertice(peso, buffer) return opcoes_Visualização(peso, buffer) elif opcao == 3: print(""" ----------------------------- LISTA DE VERTICES ----------------------------- """) if (peso == 1 and buffer == 1) or (peso == 1 and buffer == 2): print(f" Lista de Vértices: {G.nodes()}") if peso == 2 and buffer == 1: print(f" Lista de Vértices: {G.nodes()}") if peso == 2 and buffer == 2: print(f" Lista de Vértices: {G2.nodes()}") print("---------------------------------------------------") print("\n") return opcoes_Visualização(peso, buffer) elif opcao == 4: print(""" ----------------------------- TAMANHO DO GRAFO ----------------------------- """) print(f" Tamanho do Grafo: {contaAresta}") print("---------------------------------------------------") print("\n") return opcoes_Visualização(peso, buffer) elif opcao == 5: print(""" ----------------------------- MATRIZ DE ADJACÊNCIA ----------------------------- """) if peso == 1 and buffer == 1: A = nx.adjacency_matrix(G2) print(f"{A.todense()}") print("\n") return opcoes_Visualização(peso, buffer) if peso == 1 and buffer == 2: A = nx.adjacency_matrix(G) print(f"{A.todense()}") print("\n") return opcoes_Visualização(peso, buffer) if peso == 2 and buffer == 1: A = nx.adjacency_matrix(G) print(f"{A.todense()}") print("\n") return opcoes_Visualização(peso, buffer) if peso == 2 and buffer == 2: A = nx.adjacency_matrix(G2) print(f"{A.todense()}") print("\n") return opcoes_Visualização(peso, buffer) elif opcao == 6: print(""" ----------------------------- VERTICES ADJACENTES ----------------------------- """) u = input(" Vértice 1: ") v = input(" Vértice 2: ") contador = 0 for edge in G.edges(): i = 0 if peso == 1 and buffer == 1: if edge[i] == u: if edge[i + 1] == v: contador += 1 if peso == 1 and buffer == 2: if edge[i] == u: if edge[i + 1] == v: contador -= 1 i += 1 if contador == 1: print(" São adjacentes") print("\n") return opcoes_Visualização(peso, buffer) elif contador <= 0: print(" Não são adjacentes") print("\n") return opcoes_Visualização(peso, buffer) elif opcao == 7: print(""" ----------------------------- PLOT DO GRAFO ----------------------------- """) fig, ax = plt.subplots(figsize=(25, 25)) # Plot do Grafo Direcionado Valorado if peso == 1 and buffer == 1: node_size = [2500 for node in G.nodes] pos = nx.spring_layout(G) labels = nx.get_edge_attributes(G, 'weight') nx.draw_networkx_edge_labels( G, pos, edge_labels=labels) options = { 'width': 1.0, 'arrowstyle': '-|>', 'arrowsize': 12, } nx.draw_networkx(G, pos, arrows=True, with_labels=True, node_size=node_size, **options) plt.show() return opcoes_Visualização(peso, buffer) # Plot do Grafo Não Direcionado Valorado elif peso == 1 and buffer == 2: pos = nx.spring_layout(G2) labels = nx.get_edge_attributes(G2, 'weight') nx.draw_networkx_edge_labels(G2, pos, edge_labels=labels) nx.draw(G2, pos, with_labels=True) plt.show() return opcoes_Visualização(peso, buffer) # Plot do grafo # Direcionado e Não Valorado elif peso == 2 and buffer == 1: pos = nx.spring_layout(G) nx.draw(G, pos, with_labels=True) plt.show() return opcoes_Visualização(peso, buffer) # Não direcionado e Não Valorado elif peso == 2 and buffer == 2: pos = nx.spring_layout(G2) nx.draw(G2, pos, with_labels=True) plt.show() return opcoes_Visualização(peso, buffer) elif opcao == 8: print(""" ----------------------------- ALGORITMO DE DIJKSTRA ----------------------------- """) if (peso == 1 and buffer == 1): menu_Dijkstra(peso, buffer) else: print(" O algoritmo é exclusivo para a opção de direcionado e valorado") return opcoes_Visualização(peso, buffer) elif opcao == 9: print(""" ----------------------------- ALGORITMO DE BELLMAN-FORD ----------------------------- """) if (peso == 1 and buffer == 1): menu_BellmanFord(peso, buffer) else: print(" O algoritmo é exclusivo para a opção de direcionado e valorado") return opcoes_Visualização(peso, buffer) return opcoes_Visualização(peso, buffer) elif opcao == 10: return opcoes(peso, buffer) if (peso == 2 and buffer == 1) or (peso == 2 and buffer == 2): if opcao == 1: gerar_Grafo_Lista(peso, buffer) return opcoes_Visualização(peso, buffer) elif opcao == 2: imprimir_GrauVertice(peso, buffer) return opcoes_Visualização(peso, buffer) elif opcao == 3: print(""" ----------------------------- LISTA DE VERTICES ----------------------------- """) if (peso == 1 and buffer == 1) or (peso == 1 and buffer == 2): print(f" Lista de Vértices: {G.nodes()}") if peso == 2 and buffer == 1: print(f" Lista de Vértices: {G.nodes()}") if peso == 2 and buffer == 2: print(f" Lista de Vértices: {G2.nodes()}") print("---------------------------------------------------") print("\n") return opcoes_Visualização(peso, buffer) elif opcao == 4: print(""" ----------------------------- TAMANHO DO GRAFO ----------------------------- """) print(f" Tamanho do Grafo: {contaAresta}") print("---------------------------------------------------") print("\n") return opcoes_Visualização(peso, buffer) elif opcao == 5: print(""" ----------------------------- MATRIZ DE ADJACÊNCIA ----------------------------- """) if peso == 1 and buffer == 1: A = nx.adjacency_matrix(G2) print(f"{A.todense()}") print("\n") return opcoes_Visualização(peso, buffer) if peso == 1 and buffer == 2: A = nx.adjacency_matrix(G) print(f"{A.todense()}") print("\n") return opcoes_Visualização(peso, buffer) if peso == 2 and buffer == 1: A = nx.adjacency_matrix(G) print(f"{A.todense()}") print("\n") return opcoes_Visualização(peso, buffer) if peso == 2 and buffer == 2: A = nx.adjacency_matrix(G2) print(f"{A.todense()}") print("\n") return opcoes_Visualização(peso, buffer) elif opcao == 6: print(""" ----------------------------- VERTICES ADJACENTES ----------------------------- """) u = input(" Vértice 1: ") v = input(" Vértice 2: ") contador = 0 for edge in G.edges(): i = 0 if peso == 1 and buffer == 1: if edge[i] == u: if edge[i + 1] == v: contador += 1 if peso == 1 and buffer == 2: if edge[i] == u: if edge[i + 1] == v: contador -= 1 i += 1 if contador == 1: print(" São adjacentes") print("\n") return opcoes_Visualização(peso, buffer) elif contador <= 0: print(" Não são adjacentes") print("\n") return opcoes_Visualização(peso, buffer) elif opcao == 7: print(""" ----------------------------- PLOT DO GRAFO ----------------------------- """) fig, ax = plt.subplots(figsize=(25, 25)) # Plot do Grafo Direcionado Valorado if peso == 1 and buffer == 1: node_size = [2500 for node in G.nodes] pos = nx.spring_layout(G) labels = nx.get_edge_attributes(G, 'weight') nx.draw_networkx_edge_labels( G, pos, edge_labels=labels) options = { 'width': 1.0, 'arrowstyle': '-|>', 'arrowsize': 12, } nx.draw_networkx(G, pos, arrows=True, with_labels=True, node_size=node_size, **options) plt.show() return opcoes_Visualização(peso, buffer) # Plot do Grafo Não Direcionado Valorado elif peso == 1 and buffer == 2: pos = nx.spring_layout(G2) labels = nx.get_edge_attributes(G2, 'weight') nx.draw_networkx_edge_labels(G2, pos, edge_labels=labels) nx.draw(G2, pos, with_labels=True) plt.show() return opcoes_Visualização(peso, buffer) # Plot do grafo # Direcionado e Não Valorado elif peso == 2 and buffer == 1: pos = nx.spring_layout(G) nx.draw(G, pos, with_labels=True) plt.show() return opcoes_Visualização(peso, buffer) # Não direcionado e Não Valorado elif peso == 2 and buffer == 2: pos = nx.spring_layout(G2) nx.draw(G2, pos, with_labels=True) plt.show() return opcoes_Visualização(peso, buffer) elif opcao == 8: return opcoes(peso, buffer) def gerar_Grafo_Lista(modo, tipo): global opcao global contaAresta global G # Direcionado e Valorado if modo == 1 and tipo == 1: print(""" ----------------------------- LISTA DE ARESTAS ----------------------------- """) i = 1 for edge in G.edges(): u = edge[0] v = edge[1] print( f"\n Par {i}: O peso da aresta: {edge}, vale: {G[u][v]['weight']}") i += 1 print("---------------------------------------------------") print("\n") # Direcionado e Não Valorado elif modo == 2 and tipo == 1: print(""" ----------------------------- PARES DE VERTICES ----------------------------- """) i = 1 for edge in G.edges(): u = edge[0] v = edge[1] print(f"\n Par {i} de Vertices: {edge}") i += 1 print("---------------------------------------------------") print("\n") # Não Direcionado e Valorado elif modo == 1 and tipo == 2: print(""" ----------------------------- LISTA DE ARESTAS ----------------------------- """) i = 1 for edge in G2.edges(): u = edge[0] v = edge[1] print( f"\n Par {i}: O peso da aresta: {edge}, vale: {G2[u][v]['weight']}") i += 1 print("---------------------------------------------------") print("\n") # Não Direcionado e Não valorado elif modo == 2 and tipo == 2: print(""" ----------------------------- PARES DE VERTICES ----------------------------- """) i = 1 for edge in G.edges(): u = edge[0] v = edge[1] print(f"\n Par {i} de Vertices: {edge}") i += 1 print("---------------------------------------------------") print("\n") def imprimir_GrauVertice(modo, tipo): global opcao global contaAresta global G # Direcionado if (modo == 1 or modo == 2) and tipo == 1: print(""" ----------------------------- LISTA DE GRAUS ----------------------------- """) print(f" {G.degree}") print("---------------------------------------------------") print("\n") # Não Direcionado elif (modo == 1 or modo == 2) and tipo == 2: print(""" ----------------------------- LISTA DE GRAUS ----------------------------- """) print(f" {G.degree}") print("---------------------------------------------------") print("\n") def menu_Dijkstra(peso, buffer): global opcao global contaAresta global G if (peso == 1 and buffer == 1) or (peso == 1 and buffer == 2): print(""" (1) Caminho e custo especifico (2) Todos os caminhos e custos (3) Sair """) opcao = int(input(" Opção: ")) print("\n") if opcao == 1: x = input(" Vertice de Origem: ") y = input(" Vertice de Destino: ") dijkstra_one_to_one(G, x, y) return menu_Dijkstra(peso, buffer) elif opcao == 2: dijkstra_one_to_all(G) return menu_Dijkstra(peso, buffer) elif opcao == 3: return opcoes_Visualização(peso, buffer) def menu_BellmanFord(peso, buffer): global opcao global contaAresta global G if (peso == 1 and buffer == 1) or (peso == 1 and buffer == 2): print(""" (1) Caminho e custo especifico (2) Todos os caminhos e custos (3) Sair """) opcao = int(input(" Opção: ")) print("\n") if opcao == 1: x = input(" Vertice de Origem: ") y = input(" Vertice de Destino: ") dijkstra_one_to_one(G, x, y) return menu_BellmanFord(peso, buffer) elif opcao == 2: dijkstra_one_to_all(G) return menu_BellmanFord(peso, buffer) elif opcao == 3: return opcoes_Visualização(peso, buffer) def dijkstra_one_to_all(G): try: print(""" -------------------------------------------- MENOR CUSTO ENTRE OS VERTICES -------------------------------------------- """) for x in G.nodes(): length = nx.shortest_path_length( G, source=x, weight="weight", method='dijkstra') print(" O menor custo entre o vértice ", x, " e o ", length) print("\n") print(""" -------------------------------------------- MENOR CAMINHO ENTRE OS VERTICES -------------------------------------------- """) for x in G.nodes(): path = nx.shortest_path(G, source=x, weight='weight') print(" O caminho de menor custo entre o vértice ", x, ": ", path) print("\n") path_lengths = dict( nx.all_pairs_dijkstra_path_length(G, weight='weight')) # sum the lengths to individual nodes new_dict = {node1: sum([length for length in path_lengths[node1].values()]) for node1 in path_lengths.keys()} # print the lengths print(""" -------------------------------------------- SOMA DOS CUSTOS DOS VERTICES -------------------------------------------- """) for node, length in new_dict.items(): print(' A soma dos comprimentos do vertice {} para todos os outros vertices é {}.'.format( node, length)) except nx.exception.NetworkXNoPath: print(' Sem caminho') print("\n") return def dijkstra_one_to_one(G, origem, destino): if destino != origem: try: length = nx.shortest_path_length( G, source=origem, target=destino, weight="weight", method='dijkstra') print(" O menor custo entre o vértice ", origem, " e o ", destino, " é de ", length) path = nx.shortest_path( G, source=origem, target=destino, weight="weight") print(" O caminho de menor custo entre o vértice ", origem, " e o vértice ", destino, " é: ", path) x = input( "\n Você deseja visualizar o grafo [S/N]? ").upper() if x == "S": plotGraphDijkstra(G, path) if x == "N": return except nx.exception.NetworkXNoPath: print(' Sem caminho de ', origem, ' para ', destino) else: print("origem = destino") return def plotGraphDijkstra(G, path): fig, ax = plt.subplots(figsize=(25, 25)) node_size = [2500 for node in G.nodes] pos = nx.spring_layout(G) labels = nx.get_edge_attributes(G, 'weight') # Separa as arestas que fazem parte do menor caminho e guarda em arestas_vermelhas arestas_vermelhas = list(zip(path, path[1:])) # Marca as arestas que estão no Path para serem pintados de vermelho e as outras de preto cor_arestas = [ 'black' if not edge in arestas_vermelhas else 'red' for edge in G.edges()] # Marca os vértices que estão no Path para serem pintados de azul e os outros de branco cor_vertices = [ 'yellow' if not node in path else 'green' for node in G.nodes()] nx.draw_networkx_edges(G, pos, edge_color=cor_arestas) nx.draw_networkx_edge_labels(G, pos, edge_labels=labels) options = { 'width': 1.0, 'arrowstyle': '-|>', 'arrowsize': 12, } nx.draw_networkx(G, pos, arrows=True, with_labels=True, node_color=cor_vertices, edge_color=cor_arestas, node_size=node_size, **options) # Mostra o grafo plt.show() menu_Grafos()

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228caef49c45375849f5b64b25f202f0c6aa0828

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Python

sdk/storage/azure-storage-queue/azure/storage/queue/_generated/operations/_queue_operations.py

vchske/azure-sdk-for-python

6383ed3676b7355af7be394562b126209961ec13

[ "MIT" ]

null

sdk/storage/azure-storage-queue/azure/storage/queue/_generated/operations/_queue_operations.py

vchske/azure-sdk-for-python

6383ed3676b7355af7be394562b126209961ec13

[ "MIT" ]

1

2019-06-04T18:12:16.000Z

sdk/storage/azure-storage-queue/azure/storage/queue/_generated/operations/_queue_operations.py

vchske/azure-sdk-for-python

6383ed3676b7355af7be394562b126209961ec13

[ "MIT" ]

1

2019-06-17T22:18:23.000Z

# coding=utf-8 # -------------------------------------------------------------------------- # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- # pylint: skip-file from azure.core.exceptions import map_error from .. import models class QueueOperations(object): """QueueOperations operations. You should not instantiate directly this class, but create a Client instance that will create it for you and attach it as attribute. :param client: Client for service requests. :param config: Configuration of service client. :param serializer: An object model serializer. :param deserializer: An object model deserializer. """ models = models def __init__(self, client, config, serializer, deserializer): self._client = client self._serialize = serializer self._deserialize = deserializer self._config = config def create(self, timeout=None, metadata=None, request_id=None, cls=None, **kwargs): """creates a new queue under the given account. :param timeout: The The timeout parameter is expressed in seconds. For more information, see <a href="https://docs.microsoft.com/en-us/rest/api/storageservices/setting-timeouts-for-queue-service-operations>Setting Timeouts for Queue Service Operations.</a> :type timeout: int :param metadata: Optional. Include this parameter to specify that the queue's metadata be returned as part of the response body. Note that metadata requested with this parameter must be stored in accordance with the naming restrictions imposed by the 2009-09-19 version of the Queue service. Beginning with this version, all metadata names must adhere to the naming conventions for C# identifiers. :type metadata: str :param request_id: Provides a client-generated, opaque value with a 1 KB character limit that is recorded in the analytics logs when storage analytics logging is enabled. :type request_id: str :param callable cls: A custom type or function that will be passed the direct response :return: None or the result of cls(response) :rtype: None :raises: :class:`StorageErrorException<queue.models.StorageErrorException>` """ error_map = kwargs.pop('error_map', None) # Construct URL url = self.create.metadata['url'] path_format_arguments = { 'url': self._serialize.url("self._config.url", self._config.url, 'str', skip_quote=True) } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if timeout is not None: query_parameters['timeout'] = self._serialize.query("timeout", timeout, 'int', minimum=0) # Construct headers header_parameters = {} if metadata is not None: header_parameters['x-ms-meta'] = self._serialize.header("metadata", metadata, 'str') header_parameters['x-ms-version'] = self._serialize.header("self._config.version", self._config.version, 'str') if request_id is not None: header_parameters['x-ms-client-request-id'] = self._serialize.header("request_id", request_id, 'str') # Construct and send request request = self._client.put(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [201, 204]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise models.StorageErrorException(response, self._deserialize) if cls: response_headers = { 'x-ms-request-id': self._deserialize('str', response.headers.get('x-ms-request-id')), 'x-ms-version': self._deserialize('str', response.headers.get('x-ms-version')), 'Date': self._deserialize('rfc-1123', response.headers.get('Date')), 'x-ms-error-code': self._deserialize('str', response.headers.get('x-ms-error-code')), } return cls(response, None, response_headers) create.metadata = {'url': '/{queueName}'} def delete(self, timeout=None, request_id=None, cls=None, **kwargs): """operation permanently deletes the specified queue. :param timeout: The The timeout parameter is expressed in seconds. For more information, see <a href="https://docs.microsoft.com/en-us/rest/api/storageservices/setting-timeouts-for-queue-service-operations>Setting Timeouts for Queue Service Operations.</a> :type timeout: int :param request_id: Provides a client-generated, opaque value with a 1 KB character limit that is recorded in the analytics logs when storage analytics logging is enabled. :type request_id: str :param callable cls: A custom type or function that will be passed the direct response :return: None or the result of cls(response) :rtype: None :raises: :class:`StorageErrorException<queue.models.StorageErrorException>` """ error_map = kwargs.pop('error_map', None) # Construct URL url = self.delete.metadata['url'] path_format_arguments = { 'url': self._serialize.url("self._config.url", self._config.url, 'str', skip_quote=True) } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if timeout is not None: query_parameters['timeout'] = self._serialize.query("timeout", timeout, 'int', minimum=0) # Construct headers header_parameters = {} header_parameters['x-ms-version'] = self._serialize.header("self._config.version", self._config.version, 'str') if request_id is not None: header_parameters['x-ms-client-request-id'] = self._serialize.header("request_id", request_id, 'str') # Construct and send request request = self._client.delete(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [204]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise models.StorageErrorException(response, self._deserialize) if cls: response_headers = { 'x-ms-request-id': self._deserialize('str', response.headers.get('x-ms-request-id')), 'x-ms-version': self._deserialize('str', response.headers.get('x-ms-version')), 'Date': self._deserialize('rfc-1123', response.headers.get('Date')), 'x-ms-error-code': self._deserialize('str', response.headers.get('x-ms-error-code')), } return cls(response, None, response_headers) delete.metadata = {'url': '/{queueName}'} def get_properties(self, timeout=None, request_id=None, cls=None, **kwargs): """Retrieves user-defined metadata and queue properties on the specified queue. Metadata is associated with the queue as name-values pairs. :param timeout: The The timeout parameter is expressed in seconds. For more information, see <a href="https://docs.microsoft.com/en-us/rest/api/storageservices/setting-timeouts-for-queue-service-operations>Setting Timeouts for Queue Service Operations.</a> :type timeout: int :param request_id: Provides a client-generated, opaque value with a 1 KB character limit that is recorded in the analytics logs when storage analytics logging is enabled. :type request_id: str :param callable cls: A custom type or function that will be passed the direct response :return: None or the result of cls(response) :rtype: None :raises: :class:`StorageErrorException<queue.models.StorageErrorException>` """ error_map = kwargs.pop('error_map', None) comp = "metadata" # Construct URL url = self.get_properties.metadata['url'] path_format_arguments = { 'url': self._serialize.url("self._config.url", self._config.url, 'str', skip_quote=True) } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if timeout is not None: query_parameters['timeout'] = self._serialize.query("timeout", timeout, 'int', minimum=0) query_parameters['comp'] = self._serialize.query("comp", comp, 'str') # Construct headers header_parameters = {} header_parameters['x-ms-version'] = self._serialize.header("self._config.version", self._config.version, 'str') if request_id is not None: header_parameters['x-ms-client-request-id'] = self._serialize.header("request_id", request_id, 'str') # Construct and send request request = self._client.get(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise models.StorageErrorException(response, self._deserialize) if cls: response_headers = { 'x-ms-meta': self._deserialize('{str}', response.headers.get('x-ms-meta')), 'x-ms-approximate-messages-count': self._deserialize('int', response.headers.get('x-ms-approximate-messages-count')), 'x-ms-request-id': self._deserialize('str', response.headers.get('x-ms-request-id')), 'x-ms-version': self._deserialize('str', response.headers.get('x-ms-version')), 'Date': self._deserialize('rfc-1123', response.headers.get('Date')), 'x-ms-error-code': self._deserialize('str', response.headers.get('x-ms-error-code')), } return cls(response, None, response_headers) get_properties.metadata = {'url': '/{queueName}'} def set_metadata(self, timeout=None, metadata=None, request_id=None, cls=None, **kwargs): """sets user-defined metadata on the specified queue. Metadata is associated with the queue as name-value pairs. :param timeout: The The timeout parameter is expressed in seconds. For more information, see <a href="https://docs.microsoft.com/en-us/rest/api/storageservices/setting-timeouts-for-queue-service-operations>Setting Timeouts for Queue Service Operations.</a> :type timeout: int :param metadata: Optional. Include this parameter to specify that the queue's metadata be returned as part of the response body. Note that metadata requested with this parameter must be stored in accordance with the naming restrictions imposed by the 2009-09-19 version of the Queue service. Beginning with this version, all metadata names must adhere to the naming conventions for C# identifiers. :type metadata: str :param request_id: Provides a client-generated, opaque value with a 1 KB character limit that is recorded in the analytics logs when storage analytics logging is enabled. :type request_id: str :param callable cls: A custom type or function that will be passed the direct response :return: None or the result of cls(response) :rtype: None :raises: :class:`StorageErrorException<queue.models.StorageErrorException>` """ error_map = kwargs.pop('error_map', None) comp = "metadata" # Construct URL url = self.set_metadata.metadata['url'] path_format_arguments = { 'url': self._serialize.url("self._config.url", self._config.url, 'str', skip_quote=True) } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if timeout is not None: query_parameters['timeout'] = self._serialize.query("timeout", timeout, 'int', minimum=0) query_parameters['comp'] = self._serialize.query("comp", comp, 'str') # Construct headers header_parameters = {} if metadata is not None: header_parameters['x-ms-meta'] = self._serialize.header("metadata", metadata, 'str') header_parameters['x-ms-version'] = self._serialize.header("self._config.version", self._config.version, 'str') if request_id is not None: header_parameters['x-ms-client-request-id'] = self._serialize.header("request_id", request_id, 'str') # Construct and send request request = self._client.put(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [204]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise models.StorageErrorException(response, self._deserialize) if cls: response_headers = { 'x-ms-request-id': self._deserialize('str', response.headers.get('x-ms-request-id')), 'x-ms-version': self._deserialize('str', response.headers.get('x-ms-version')), 'Date': self._deserialize('rfc-1123', response.headers.get('Date')), 'x-ms-error-code': self._deserialize('str', response.headers.get('x-ms-error-code')), } return cls(response, None, response_headers) set_metadata.metadata = {'url': '/{queueName}'} def get_access_policy(self, timeout=None, request_id=None, cls=None, **kwargs): """returns details about any stored access policies specified on the queue that may be used with Shared Access Signatures. :param timeout: The The timeout parameter is expressed in seconds. For more information, see <a href="https://docs.microsoft.com/en-us/rest/api/storageservices/setting-timeouts-for-queue-service-operations>Setting Timeouts for Queue Service Operations.</a> :type timeout: int :param request_id: Provides a client-generated, opaque value with a 1 KB character limit that is recorded in the analytics logs when storage analytics logging is enabled. :type request_id: str :param callable cls: A custom type or function that will be passed the direct response :return: list or the result of cls(response) :rtype: list[~queue.models.SignedIdentifier] :raises: :class:`StorageErrorException<queue.models.StorageErrorException>` """ error_map = kwargs.pop('error_map', None) comp = "acl" # Construct URL url = self.get_access_policy.metadata['url'] path_format_arguments = { 'url': self._serialize.url("self._config.url", self._config.url, 'str', skip_quote=True) } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if timeout is not None: query_parameters['timeout'] = self._serialize.query("timeout", timeout, 'int', minimum=0) query_parameters['comp'] = self._serialize.query("comp", comp, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/xml' header_parameters['x-ms-version'] = self._serialize.header("self._config.version", self._config.version, 'str') if request_id is not None: header_parameters['x-ms-client-request-id'] = self._serialize.header("request_id", request_id, 'str') # Construct and send request request = self._client.get(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise models.StorageErrorException(response, self._deserialize) header_dict = {} deserialized = None if response.status_code == 200: deserialized = self._deserialize('[SignedIdentifier]', response) header_dict = { 'x-ms-request-id': self._deserialize('str', response.headers.get('x-ms-request-id')), 'x-ms-version': self._deserialize('str', response.headers.get('x-ms-version')), 'Date': self._deserialize('rfc-1123', response.headers.get('Date')), 'x-ms-error-code': self._deserialize('str', response.headers.get('x-ms-error-code')), } if cls: return cls(response, deserialized, header_dict) return deserialized get_access_policy.metadata = {'url': '/{queueName}'} def set_access_policy(self, queue_acl=None, timeout=None, request_id=None, cls=None, **kwargs): """sets stored access policies for the queue that may be used with Shared Access Signatures. :param queue_acl: the acls for the queue :type queue_acl: list[~queue.models.SignedIdentifier] :param timeout: The The timeout parameter is expressed in seconds. For more information, see <a href="https://docs.microsoft.com/en-us/rest/api/storageservices/setting-timeouts-for-queue-service-operations>Setting Timeouts for Queue Service Operations.</a> :type timeout: int :param request_id: Provides a client-generated, opaque value with a 1 KB character limit that is recorded in the analytics logs when storage analytics logging is enabled. :type request_id: str :param callable cls: A custom type or function that will be passed the direct response :return: None or the result of cls(response) :rtype: None :raises: :class:`StorageErrorException<queue.models.StorageErrorException>` """ error_map = kwargs.pop('error_map', None) comp = "acl" # Construct URL url = self.set_access_policy.metadata['url'] path_format_arguments = { 'url': self._serialize.url("self._config.url", self._config.url, 'str', skip_quote=True) } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if timeout is not None: query_parameters['timeout'] = self._serialize.query("timeout", timeout, 'int', minimum=0) query_parameters['comp'] = self._serialize.query("comp", comp, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/xml; charset=utf-8' header_parameters['x-ms-version'] = self._serialize.header("self._config.version", self._config.version, 'str') if request_id is not None: header_parameters['x-ms-client-request-id'] = self._serialize.header("request_id", request_id, 'str') # Construct body serialization_ctxt = {'xml': {'name': 'SignedIdentifiers', 'itemsName': 'SignedIdentifier', 'wrapped': True}} if queue_acl is not None: body_content = self._serialize.serialize_iter(queue_acl, 'SignedIdentifier', serialization_ctxt=serialization_ctxt) else: body_content = None # Construct and send request request = self._client.put(url, query_parameters, header_parameters, body_content) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [204]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise models.StorageErrorException(response, self._deserialize) if cls: response_headers = { 'x-ms-request-id': self._deserialize('str', response.headers.get('x-ms-request-id')), 'x-ms-version': self._deserialize('str', response.headers.get('x-ms-version')), 'Date': self._deserialize('rfc-1123', response.headers.get('Date')), 'x-ms-error-code': self._deserialize('str', response.headers.get('x-ms-error-code')), } return cls(response, None, response_headers) set_access_policy.metadata = {'url': '/{queueName}'}

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0.236699

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0

1

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null

0

8

22a326c76fec53595996ab22a85186a8aed72065

3,088

py

Python

tests/test_remove_title_page.py

KBNLresearch/ochre

a62bf3b31df83784c017d30a83ed8e01d454bf1c

[ "Apache-2.0" ]

113

2017-10-22T20:50:43.000Z

2022-03-26T22:51:26.000Z

tests/test_remove_title_page.py

KBNLresearch/ochre

a62bf3b31df83784c017d30a83ed8e01d454bf1c

[ "Apache-2.0" ]

16

2017-10-23T13:33:37.000Z

2021-05-06T12:28:43.000Z

tests/test_remove_title_page.py

KBNLresearch/Ochre

a62bf3b31df83784c017d30a83ed8e01d454bf1c

[ "Apache-2.0" ]

22

2018-01-21T03:43:00.000Z

2021-11-09T07:14:18.000Z

# -*- coding: utf-8 -*- import os from click.testing import CliRunner # FIXME: import correct methods for testing from ochre.remove_title_page import remove_title_page # Documentation about testing click commands: http://click.pocoo.org/5/testing/ def test_remove_title_page_single_line(): runner = CliRunner() with runner.isolated_filesystem(): os.makedirs('in') os.makedirs('out') with open('in/test-without.txt', 'w') as f: content_without = 'Text starts here.\n' \ 'Second line.\n' f.write(content_without) with open('in/test-with.txt', 'w') as f: content = 'This is the title page\n' \ 'Text starts here.\n' \ 'Second line.\n' f.write(content) result = runner.invoke(remove_title_page, ['in/test-without.txt', 'in/test-with.txt', '--out_dir', 'out']) assert result.exit_code == 0 assert os.path.exists('out/test-with.txt') with open('out/test-with.txt') as f: c = f.read() assert c == content_without def test_remove_title_page_multiple_lines(): runner = CliRunner() with runner.isolated_filesystem(): os.makedirs('in') os.makedirs('out') with open('in/test-without.txt', 'w') as f: content_without = 'Text starts here.\n' \ 'Second line.\n' f.write(content_without) with open('in/test-with.txt', 'w') as f: content = 'This is the title page 1.\n' \ 'This is the title page 2.\n' \ 'Text starts here.\n' \ 'Second line.\n' f.write(content) result = runner.invoke(remove_title_page, ['in/test-without.txt', 'in/test-with.txt', '--out_dir', 'out']) assert result.exit_code == 0 assert os.path.exists('out/test-with.txt') with open('out/test-with.txt') as f: c = f.read() assert c == content_without def test_remove_title_page_no_lines(): runner = CliRunner() with runner.isolated_filesystem(): os.makedirs('in') os.makedirs('out') with open('in/test-without.txt', 'w') as f: content_without = 'Text starts here.\n' \ 'Second line.\n' f.write(content_without) with open('in/test-with.txt', 'w') as f: content = 'Text starts here.\n' \ 'Second line.\n' f.write(content) result = runner.invoke(remove_title_page, ['in/test-without.txt', 'in/test-with.txt', '--out_dir', 'out']) assert result.exit_code == 0 assert os.path.exists('out/test-with.txt') with open('out/test-with.txt') as f: c = f.read() assert c == content_without

30.27451

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0

null

0

1

0

1

0

null

0

7

a3d9efdf165dccf5db37300054d82a29a1329ae4

361

py

Python

pset_challenging_ext/exercises/p43.py

mottaquikarim/pydev-psets

9749e0d216ee0a5c586d0d3013ef481cc21dee27

[ "MIT" ]

5

2019-04-08T20:05:37.000Z

2019-12-04T20:48:45.000Z

pset_challenging_ext/exercises/p43.py

mottaquikarim/pydev-psets

9749e0d216ee0a5c586d0d3013ef481cc21dee27

[ "MIT" ]

8

2019-04-15T15:16:05.000Z

2022-02-12T10:33:32.000Z

pset_challenging_ext/exercises/p43.py

mottaquikarim/pydev-psets

9749e0d216ee0a5c586d0d3013ef481cc21dee27

[ "MIT" ]

2

2019-04-10T00:14:42.000Z

2020-02-26T20:35:21.000Z

""" Write a program to generate and print another tuple whose values are even numbers in the given tuple (1,2,3,4,5,6,7,8,9,10). """ """Question: Write a program to generate and print another tuple whose values are even numbers in the given tuple (1,2,3,4,5,6,7,8,9,10). Hints: Use "for" to iterate the tuple Use tuple() to generate a tuple from a list. """

32.818182

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0.711911

73

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3.520548

0.465753

0.116732

0.101167

0.116732

0.731518

0

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0.168975

361

11

126

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0.34349

0

null

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null

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null

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null

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null

0

1

0

1

0

null

0

1

0

7

a3f6000cd1ccafe3bfa7bf894cac8e18b050f2f1

1,134

py

Python

tests/test_notebook.py

BlackHC/notebook_setup

6092ae54a9b6b0ffe253765a22a6dd7bfaa3ea7b

[ "MIT" ]

null

tests/test_notebook.py

BlackHC/notebook_setup

6092ae54a9b6b0ffe253765a22a6dd7bfaa3ea7b

[ "MIT" ]

null

tests/test_notebook.py

BlackHC/notebook_setup

6092ae54a9b6b0ffe253765a22a6dd7bfaa3ea7b

[ "MIT" ]

null

from pyfakefs import fake_filesystem from blackhc import project import os def test_get_cookiecutter_project_path_from_notebooks(fs: fake_filesystem.FakeFilesystem): fs.CreateDirectory('/tmp/blackhc.project/notebooks') assert (project.get_cookiecutter_project_path('/tmp/blackhc.project/notebooks') == os.path.abspath( '/tmp/blackhc.project')) def test_get_cookiecutter_project_path_from_scripts(fs: fake_filesystem.FakeFilesystem): fs.CreateDirectory('/tmp/blackhc.project/scripts') assert (project.get_cookiecutter_project_path('/tmp/blackhc.project/notebooks') == os.path.abspath( '/tmp/blackhc.project')) def test_get_cookiecutter_project_path_with_src(fs: fake_filesystem.FakeFilesystem): fs.CreateDirectory('/tmp/blackhc.project/src') assert ( project.get_cookiecutter_project_path('/tmp/blackhc.project/') == os.path.abspath('/tmp/blackhc.project')) def test_get_cookiecutter_project_path_without_src(fs: fake_filesystem.FakeFilesystem): fs.CreateDirectory('/tmp/blackhc.project') assert project.get_cookiecutter_project_path('/tmp/blackhc.project/') is None

42

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119

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0

null

0

1

0

null

0

1

0

8

433e724ad0cc2e739ab2a0a776b4def459f9d855

321

py

Python

negative.py

patlii/python-with-kids

5b7afa9142974cf129ad12b2797edbf0780f1fb1

[ "Unlicense" ]

1

2016-01-29T02:42:33.000Z

negative.py

patlii/python-with-kids

5b7afa9142974cf129ad12b2797edbf0780f1fb1

[ "Unlicense" ]

null

negative.py

patlii/python-with-kids

5b7afa9142974cf129ad12b2797edbf0780f1fb1

[ "Unlicense" ]

null

#!/usr/bin/env python3 for person in range(1,10): if (3 * person + 8) == (5 * person + 2): print('person: %d' % person) print('apple: %d' % (3 * person + 8)) print('-----') for person in range(1,10): if (3 * person + 8) == (5 * person - 2): print('person: %d' % person) print('apple: %d' % (3 * person + 8))

22.928571

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321

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0.16568

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0.87574

0

0.076305

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321

13

42

24.692308

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0.065421

0

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4a66b8afbab912020a0de06db9e9626a00745063

2,367

py

Python

tests/check_stack_tag_values_test.py

zaro0508/sceptrelint

e55be6ad0a2ed136880c45ef5add707faeaf28df

[ "Apache-2.0" ]

null

tests/check_stack_tag_values_test.py

zaro0508/sceptrelint

e55be6ad0a2ed136880c45ef5add707faeaf28df

[ "Apache-2.0" ]

null

tests/check_stack_tag_values_test.py

zaro0508/sceptrelint

e55be6ad0a2ed136880c45ef5add707faeaf28df

[ "Apache-2.0" ]

1

2022-02-24T20:38:21.000Z

from __future__ import annotations from pre_commit_hooks.check_stack_tag_values import lint from testing.util import get_resource_path TEST_RESOURCES_DIR = 'check_stack_tag_values' def test_stack_tags_key_exist_value_valid_single_file(): resource_path = get_resource_path(TEST_RESOURCES_DIR) files = [f'{resource_path}/stack_tags_match_tag_values1.yaml'] assert not lint(files, 'color', [f'{resource_path}/tag_values1.json'], []) def test_stack_tags_key_exist_value_valid_multiple_files(): resource_path = get_resource_path(TEST_RESOURCES_DIR) files = [f'{resource_path}/stack_tags_match_tag_values2.yaml'] assert not lint( files, 'color', [ f'{resource_path}/tag_values1.json', f'{resource_path}/tag_values2.json', ], [], ) def test_stack_tags_non_matching_value_exclude_matching_tag(): resource_path = get_resource_path(TEST_RESOURCES_DIR) files = [f'{resource_path}/stack_tags_exclude_tags.yaml'] assert lint( files, 'color', [ f'{resource_path}/tag_values1.json', ], ['grey'], ) def test_stack_tags_matching_value_exclude_non_matching_tags(): resource_path = get_resource_path(TEST_RESOURCES_DIR) files = [f'{resource_path}/stack_tags_exclude_tags.yaml'] assert not lint( files, 'color', [f'{resource_path}/tag_values1.json'], ['yellow', 'bla'], ) def test_stack_tags_key_missing(): resource_path = get_resource_path(TEST_RESOURCES_DIR) files = [f'{resource_path}/stack_tags_missing.yaml'] assert lint(files, 'color', [f'{resource_path}/tag_values1.json'], []) def test_stack_tags_tag_non_matching_value(): resource_path = get_resource_path(TEST_RESOURCES_DIR) files = [f'{resource_path}/stack_tags_non_matching_value.yaml'] assert lint(files, 'color', [f'{resource_path}/tag_values1.json'], []) def test_stack_tags_tag_missing(): resource_path = get_resource_path(TEST_RESOURCES_DIR) files = [f'{resource_path}/stack_tags_missing.yaml'] assert lint(files, 'color', [f'{resource_path}/tag_values1.json'], []) def test_stack_tags_tag_not_in_config_file(): resource_path = get_resource_path(TEST_RESOURCES_DIR) files = [f'{resource_path}/stack_tags_tag_not_set.yaml'] assert lint(files, 'color', [f'{resource_path}/tag_values1.json'], [])

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7

4369959c812209276222dcbc26be241617624ae3

241

py

Python

apps/backend/processor/tests/core/test_logs.py

jetoslabs/event-processor

3f292f1d7265ab5c2bfdb91264d112e286e1d60b

[ "MIT" ]

null

apps/backend/processor/tests/core/test_logs.py

jetoslabs/event-processor

3f292f1d7265ab5c2bfdb91264d112e286e1d60b

[ "MIT" ]

null

apps/backend/processor/tests/core/test_logs.py

jetoslabs/event-processor

3f292f1d7265ab5c2bfdb91264d112e286e1d60b

[ "MIT" ]

null

import pytest from processor.core.log import generate_trace_id # @pytest.mark.asyncio # async def test_generate_trace_id(): # trace_id = await generate_trace_id() # print(f"trace_id: {trace_id}") # assert trace_id is not None

21.909091

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7

438da400c176b2e8e55db86377a6dcf94f588eb7

18,120

py

Python

Source/testMarket.py

XiaotongAndyDing/WeTrade

719fa3dedb15d66107c9c54bf4ef7b9001f62662

[ "MIT" ]

1

2022-03-12T10:42:04.000Z

Source/testMarket.py

XiaotongAndyDing/WeTrade

719fa3dedb15d66107c9c54bf4ef7b9001f62662

[ "MIT" ]

null

Source/testMarket.py

XiaotongAndyDing/WeTrade

719fa3dedb15d66107c9c54bf4ef7b9001f62662

[ "MIT" ]

2

2021-12-03T02:52:59.000Z

2021-12-10T01:07:13.000Z

from unittest import TestCase import numpy as np from Source.Market import Stock, Market, StockGeometricBrownianMotion, StockMeanRevertingGeometricBrownianMotion, \ Derivative, Option, EuropeanCallOption, EuropeanPutOption, StockTrendingGeometricBrownianMotion, \ MockStockGeometricBrownianMotion class TestMarket(TestCase): def test_check_current_value(self): test_market = Market([Stock('stock_test_1', 100, 0, 0), Stock('stock_test_2', 101, 0, 0)]) # test creation of Stock self.assertIn('stock_test_1', test_market._financial_product_dict) self.assertIn('stock_test_2', test_market._financial_product_dict) self.assertEqual(100, test_market.check_value('stock_test_1')) self.assertEqual(101, test_market.check_value('stock_test_2')) test_market.evolve() self.assertEqual(100, test_market.check_value('stock_test_1')) self.assertEqual(101, test_market.check_value('stock_test_2')) def test_mark_current_value_to_record(self): test_market = Market([Stock('stock_test_1', 100, 1, 0), Stock('stock_test_2', 101, 2, 0)]) test_market.mark_current_value_to_record(0) self.assertEqual(1, len(test_market._financial_product_dict['stock_test_1'].price_record)) self.assertEqual(100, test_market._financial_product_dict['stock_test_1'].price_record[0]) self.assertEqual(1, len(test_market._financial_product_dict['stock_test_2'].price_record)) self.assertEqual(101, test_market._financial_product_dict['stock_test_2'].price_record[0]) self.assertEqual(100, test_market.check_record_value('stock_test_1', 0)) self.assertEqual(101, test_market.check_record_value('stock_test_2', 0)) test_market.evolve() test_market.mark_current_value_to_record(1) self.assertEqual(2, len(test_market._financial_product_dict['stock_test_1'].price_record)) self.assertEqual(100 + 1, test_market._financial_product_dict['stock_test_1'].price_record[1]) self.assertEqual(2, len(test_market._financial_product_dict['stock_test_2'].price_record)) self.assertEqual(101 + 2, test_market._financial_product_dict['stock_test_2'].price_record[1]) self.assertEqual(100, test_market.check_record_value('stock_test_1', 0)) self.assertEqual(101, test_market.check_record_value('stock_test_2', 0)) self.assertEqual(101, test_market.check_record_value('stock_test_1', 1)) self.assertEqual(103, test_market.check_record_value('stock_test_2', 1)) def test_check_initial_value(self): test_market = Market([Stock('stock_test_1', 100, 1, 0), Stock('stock_test_2', 101, 2, 0)]) self.assertEqual(100, test_market.check_initial_value('stock_test_1')) self.assertEqual(101, test_market.check_initial_value('stock_test_2')) def test_check_delta(self): stock_test = StockGeometricBrownianMotion('stock_gbm_test', 100, 0, 1 / np.sqrt(252)) option_test = EuropeanCallOption('option_test', [stock_test], 100, 252) test_market = Market([stock_test, option_test]) self.assertAlmostEqual(0.691, option_test.delta, delta=0.001) self.assertAlmostEqual(0.691, test_market.check_delta('option_test'), delta=0.001) def test_check_type(self): stock_test = StockGeometricBrownianMotion('stock_gbm_test', 100, 0, 1 / np.sqrt(252)) option_test = EuropeanCallOption('option_test', [stock_test], 100, 252) test_market = Market([stock_test, option_test]) self.assertEqual('Option', test_market.check_type('option_test')) self.assertEqual('Stock', test_market.check_type('stock_gbm_test')) self.assertEqual('Cash', test_market.check_type('Cash')) def test_check_underlier(self): stock_test = StockGeometricBrownianMotion('stock_gbm_test', 100, 0, 1 / np.sqrt(252)) option_test = EuropeanCallOption('option_test', [stock_test], 100, 252) test_market = Market([stock_test, option_test]) self.assertEqual('stock_gbm_test', test_market.check_underlier('option_test')) class TestStock(TestCase): def test_evolve(self): stock_test = Stock('stock_test', 100, 0, 0) # test creation of Stock self.assertEqual('stock_test', stock_test.name) self.assertEqual(100, stock_test.check_value()) # test evolve of Stock stock_test.evolve() # we set mu = 0, sigma = 0 in stock noise, so the stock price is the same after evolution. self.assertAlmostEqual(100, stock_test.check_value(), delta=1e-6) stock_test = Stock('stock_test', 100, 1, 0) stock_test.evolve() self.assertAlmostEqual(101, stock_test.check_value(), delta=1e-6) def test_initial_value(self): stock_test = Stock('stock_test', 100, 0, 0) self.assertEqual(100, stock_test.check_initial_value()) def test_mark_current_value_to_record(self): stock_test = Stock('stock_test', 100, 1, 0) stock_test.mark_current_value_to_record(0) self.assertEqual(1, len(stock_test.price_record)) self.assertEqual(100, stock_test.price_record[0]) stock_test.evolve() stock_test.mark_current_value_to_record(1) self.assertEqual(2, len(stock_test.price_record)) self.assertEqual(100, stock_test.price_record[0]) self.assertEqual(101, stock_test.price_record[1]) def test_simulate_price_moves(self): stock_test = Stock('stock_test', 100, 1, 0) # stock_test increase $1 every day simulated_future_prices = stock_test.simulate_price_moves(0, 10, 1000) self.assertEqual(100, stock_test.current_value) # simulate price method does not influence its current value self.assertEqual(1000, len(simulated_future_prices)) self.assertEqual(110, np.max(simulated_future_prices)) # 100 + 10 * 1 = 110 self.assertEqual(110, np.min(simulated_future_prices)) stock_test = Stock('stock_test', 100, 1, 1) simulated_future_prices = stock_test.simulate_price_moves(0, 10) self.assertAlmostEqual(110, float(np.mean(simulated_future_prices)), delta=5) class TestStockGeometricBrownianMotion(TestCase): def test_evolve(self): stock_test = StockGeometricBrownianMotion('stock_gbm_test', 100, 0, 0) stock_test.evolve() self.assertAlmostEqual(100, stock_test.check_value(), delta=1e-6) stock_test = StockGeometricBrownianMotion('stock_gbm_test', 100, 0.01, 0) stock_test.evolve() self.assertAlmostEqual(100 * np.exp(0.01), stock_test.check_value(), delta=1e-6) stock_test.mu = 0.05 stock_test.evolve() self.assertAlmostEqual(100 * np.exp(0.01) * np.exp(0.05), stock_test.check_value(), delta=1e-6) class TestStockMeanRevertingGeometricBrownianMotion(TestCase): def test_evolve(self): stock_test = StockMeanRevertingGeometricBrownianMotion('stock_mr_gbm_test', 100, 0, 0, equilibrium_price=100, mean_reversion_speed=0) stock_test.evolve() self.assertAlmostEqual(100, stock_test.check_value(), delta=1e-6) stock_test = StockMeanRevertingGeometricBrownianMotion('stock_mr_gbm_test', 200, 0, 0, equilibrium_price=100, mean_reversion_speed=0.001) # initial stock price is higher than the equilibrium price. After long time, stock price is very close to the # equilibrium price for _ in range(100): stock_test.evolve() self.assertAlmostEqual(100, stock_test.check_value(), delta=0.01) stock_test = StockMeanRevertingGeometricBrownianMotion('stock_mr_gbm_test', 50, 0, 0, equilibrium_price=100, mean_reversion_speed=0.001) # initial stock price is lower than the equilibrium price. After long time, stock price is very close to the # equilibrium price for _ in range(100): stock_test.evolve() self.assertAlmostEqual(100, stock_test.check_value(), delta=0.01) class TestStockTrendingGeometricBrownianMotion(TestCase): def test_evolve(self): stock_test = StockTrendingGeometricBrownianMotion('stock_trending_gbm_test', 100, 0.01, 0, trend_scale_param=0, trend_decay_param=1) # stock price dynamic without trend stock_test.mark_current_value_to_record(0) for time in range(1, 5): stock_test.evolve(time) stock_test.mark_current_value_to_record(time) self.assertAlmostEqual(100 * (np.exp(0.01) ** 4), stock_test.check_value(), delta=1e-6) stock_test = StockTrendingGeometricBrownianMotion('stock_trending_gbm_test', 100, 0.01, 0, trend_scale_param=0.1, trend_decay_param=1) # stock price dynamic with trend stock_test.mark_current_value_to_record(0) for time in range(1, 5): stock_test.evolve(time) stock_test.mark_current_value_to_record(time) self.assertAlmostEqual(104.233315, stock_test.check_value(), delta=1e-6) class TestMockStockGeometricBrownianMotion(TestCase): def test_evolve(self): stock_test = MockStockGeometricBrownianMotion('mock_stock_gbm_test', 100, 0, 0.01) self.assertEqual(100, stock_test.current_value) next_day_value = stock_test.next_period_value stock_test.evolve(1) self.assertEqual(next_day_value, stock_test.current_value) class TestDerivative(TestCase): def test_init(self): stock_test_1 = StockGeometricBrownianMotion('stock_gbm_test_1', 100, 0, 0) stock_test_2 = StockGeometricBrownianMotion('stock_gbm_test_2', 101, 0, 0) derivative_test = Derivative('derivative_test', [stock_test_1, stock_test_2]) self.assertEqual(2, len(derivative_test.underlyings)) self.assertEqual(100, derivative_test.underlyings[0].current_value) self.assertEqual(101, derivative_test.underlyings[1].current_value) class TestOption(TestCase): def test_init(self): stock_test = StockGeometricBrownianMotion('stock_gbm_test', 100, 0, 0) option_test = Option('option_test', [stock_test], 110, 10) self.assertEqual(110, option_test.strike) self.assertEqual(10, option_test.expiry) self.assertEqual(100, option_test.underlying.current_value) class TestEuropeanCallOption(TestCase): def test_evolve(self): # Limit Case: Deep ITM Option, Stock Volatility is very small. stock_test = StockGeometricBrownianMotion('stock_gbm_test', 100, 0, 1e-6) option_test = EuropeanCallOption('option_test', [stock_test], 90, 10) self.assertAlmostEqual(10, option_test.current_value, delta=1e-6) self.assertAlmostEqual(1, option_test.delta, delta=1e-6) self.assertAlmostEqual(0, option_test.gamma, delta=1e-6) self.assertAlmostEqual(0, option_test.vega, delta=1e-6) # Limit Case: Deep OTM Option, Stock Volatility is very small. stock_test = StockGeometricBrownianMotion('stock_gbm_test', 100, 0, 1e-6) option_test = EuropeanCallOption('option_test', [stock_test], 110, 10) self.assertAlmostEqual(0, option_test.current_value, delta=1e-6) self.assertAlmostEqual(0, option_test.delta, delta=1e-6) self.assertAlmostEqual(0, option_test.gamma, delta=1e-6) self.assertAlmostEqual(0, option_test.vega, delta=1e-6) # Limit Case: Option, Stock Volatility is very large. # you can win inf, with floored loss. So the price of the option is simply the price of stock, no matter strike stock_test = StockGeometricBrownianMotion('stock_gbm_test', 100, 0, 1e6) option_test = EuropeanCallOption('option_test', [stock_test], 90, 10) self.assertAlmostEqual(100, option_test.current_value, delta=1e-6) self.assertAlmostEqual(1, option_test.delta, delta=1e-6) self.assertAlmostEqual(0, option_test.gamma, delta=1e-6) self.assertAlmostEqual(0, option_test.vega, delta=1e-6) # Limit Case: Already Expire. stock_test = StockGeometricBrownianMotion('stock_gbm_test', 100, 0, 1e-6) option_test = EuropeanCallOption('option_test', [stock_test], 110, 0) self.assertAlmostEqual(0, option_test.current_value, delta=1e-6) option_test = EuropeanCallOption('option_test', [stock_test], 90, 0) self.assertAlmostEqual(10, option_test.current_value, delta=1e-6) # Normal Case: ATM. # Online Option Price Calculator: https://goodcalculators.com/black-scholes-calculator/ stock_test = StockGeometricBrownianMotion('stock_gbm_test', 100, 0, 1 / np.sqrt(252)) option_test = EuropeanCallOption('option_test', [stock_test], 100, 252) # 252 business days per year self.assertAlmostEqual(38.292, option_test.current_value, delta=0.001) self.assertAlmostEqual(38.292, option_test.initial_value, delta=0.001) self.assertAlmostEqual(0.691, option_test.delta, delta=0.001) self.assertAlmostEqual(0.004, option_test.gamma, delta=0.001) self.assertAlmostEqual(35.207, option_test.vega, delta=0.001) # Normal Case: ITM. stock_test = StockGeometricBrownianMotion('stock_gbm_test', 100, 0, 1 / np.sqrt(252)) option_test = EuropeanCallOption('option_test', [stock_test], 90, 252) # 252 business days per year self.assertAlmostEqual(41.563, option_test.current_value, delta=0.001) self.assertAlmostEqual(0.728, option_test.delta, delta=0.001) self.assertAlmostEqual(0.004, option_test.gamma, delta=0.001) self.assertAlmostEqual(33.215, option_test.vega, delta=0.001) # Normal Case: OTM. stock_test = StockGeometricBrownianMotion('stock_gbm_test', 100, 0, 1 / np.sqrt(252)) option_test = EuropeanCallOption('option_test', [stock_test], 110, 252) # 252 business days per year self.assertAlmostEqual(35.375, option_test.current_value, delta=0.001) self.assertAlmostEqual(0.657, option_test.delta, delta=0.001) self.assertAlmostEqual(0.004, option_test.gamma, delta=0.001) self.assertAlmostEqual(36.758, option_test.vega, delta=0.001) class TestEuropeanPutOption(TestCase): def test_evolve(self): # Limit Case: Deep OTM Option, Stock Volatility is very small. stock_test = StockGeometricBrownianMotion('stock_gbm_test', 100, 0, 1e-6) option_test = EuropeanPutOption('option_test', [stock_test], 90, 10) self.assertAlmostEqual(0, option_test.current_value, delta=1e-6) self.assertAlmostEqual(0, option_test.delta, delta=1e-6) self.assertAlmostEqual(0, option_test.gamma, delta=1e-6) self.assertAlmostEqual(0, option_test.vega, delta=1e-6) # Limit Case: Deep OTM Option, Stock Volatility is very small. stock_test = StockGeometricBrownianMotion('stock_gbm_test', 100, 0, 1e-6) option_test = EuropeanPutOption('option_test', [stock_test], 110, 10) self.assertAlmostEqual(10, option_test.current_value, delta=1e-6) self.assertAlmostEqual(-1, option_test.delta, delta=1e-6) self.assertAlmostEqual(0, option_test.gamma, delta=1e-6) self.assertAlmostEqual(0, option_test.vega, delta=1e-6) # Limit Case: Option, Stock Volatility is very large. stock_test = StockGeometricBrownianMotion('stock_gbm_test', 100, 0, 1e6) option_test = EuropeanPutOption('option_test', [stock_test], 110, 10) self.assertAlmostEqual(110, option_test.current_value, delta=1e-6) self.assertAlmostEqual(0, option_test.delta, delta=1e-6) self.assertAlmostEqual(0, option_test.gamma, delta=1e-6) self.assertAlmostEqual(0, option_test.vega, delta=1e-6) # Limit Case: Already Expire. stock_test = StockGeometricBrownianMotion('stock_gbm_test', 100, 0, 1e-6) option_test = EuropeanPutOption('option_test', [stock_test], 110, 0) self.assertAlmostEqual(10, option_test.current_value, delta=1e-6) option_test = EuropeanPutOption('option_test', [stock_test], 90, 0) self.assertAlmostEqual(0, option_test.current_value, delta=1e-6) # Normal Case: ATM. # Online Option Price Calculator: https://goodcalculators.com/black-scholes-calculator/ stock_test = StockGeometricBrownianMotion('stock_gbm_test', 100, 0, 1 / np.sqrt(252)) option_test = EuropeanPutOption('option_test', [stock_test], 100, 252) # 252 business days per year self.assertAlmostEqual(38.292, option_test.current_value, delta=0.001) self.assertAlmostEqual(38.292, option_test.initial_value, delta=0.001) self.assertAlmostEqual(-0.309, option_test.delta, delta=0.001) self.assertAlmostEqual(0.004, option_test.gamma, delta=0.001) self.assertAlmostEqual(35.207, option_test.vega, delta=0.001) # Normal Case: ITM. stock_test = StockGeometricBrownianMotion('stock_gbm_test', 100, 0, 1 / np.sqrt(252)) option_test = EuropeanPutOption('option_test', [stock_test], 110, 252) # 252 business days per year self.assertAlmostEqual(45.375, option_test.current_value, delta=0.001) self.assertAlmostEqual(-0.343, option_test.delta, delta=0.001) self.assertAlmostEqual(0.004, option_test.gamma, delta=0.001) self.assertAlmostEqual(36.758, option_test.vega, delta=0.001) # Normal Case: OTM. stock_test = StockGeometricBrownianMotion('stock_gbm_test', 100, 0, 1 / np.sqrt(252)) option_test = EuropeanPutOption('option_test', [stock_test], 90, 252) # 252 business days per year self.assertAlmostEqual(31.563, option_test.current_value, delta=0.001) self.assertAlmostEqual(-0.272, option_test.delta, delta=0.001) self.assertAlmostEqual(0.003, option_test.gamma, delta=0.001) self.assertAlmostEqual(33.215, option_test.vega, delta=0.001)

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439ff43d8c5c8856261576db8c83a4b0f058175f

25,527

py

Python

watcher/tests/decision_engine/model/notification/test_cinder_notifications.py

ajaytikoo/watcher

6dbac1f6ae7f3e10dfdcef5721fa4af7af54e159

[ "Apache-2.0" ]

64

2015-10-18T02:57:24.000Z

2022-01-13T11:27:51.000Z

watcher/tests/decision_engine/model/notification/test_cinder_notifications.py

ajaytikoo/watcher

6dbac1f6ae7f3e10dfdcef5721fa4af7af54e159

[ "Apache-2.0" ]

null

watcher/tests/decision_engine/model/notification/test_cinder_notifications.py

ajaytikoo/watcher

6dbac1f6ae7f3e10dfdcef5721fa4af7af54e159

[ "Apache-2.0" ]

35

2015-12-25T13:53:21.000Z

2021-07-19T15:50:16.000Z

# -*- encoding: utf-8 -*- # Copyright 2017 NEC Corporation # # 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 datetime import os from unittest import mock from oslo_serialization import jsonutils from watcher.common import cinder_helper from watcher.common import context from watcher.common import exception from watcher.common import service as watcher_service from watcher.db.sqlalchemy import api as db_api from watcher.decision_engine.model.notification import cinder as cnotification from watcher.tests import base as base_test from watcher.tests.db import utils from watcher.tests.decision_engine.model import faker_cluster_state from watcher.tests.decision_engine.model.notification import fake_managers class NotificationTestCase(base_test.TestCase): @staticmethod def load_message(filename): cwd = os.path.abspath(os.path.dirname(__file__)) data_folder = os.path.join(cwd, "data") with open(os.path.join(data_folder, filename), 'rb') as json_file: json_data = jsonutils.load(json_file) return json_data class TestReceiveCinderNotifications(NotificationTestCase): FAKE_METADATA = {'message_id': None, 'timestamp': None} def setUp(self): super(TestReceiveCinderNotifications, self).setUp() p_from_dict = mock.patch.object(context.RequestContext, 'from_dict') m_from_dict = p_from_dict.start() m_from_dict.return_value = self.context self.addCleanup(p_from_dict.stop) p_get_service_list = mock.patch.object( db_api.Connection, 'get_service_list') p_update_service = mock.patch.object( db_api.Connection, 'update_service') m_get_service_list = p_get_service_list.start() m_update_service = p_update_service.start() fake_service = utils.get_test_service( created_at=datetime.datetime.utcnow()) m_get_service_list.return_value = [fake_service] m_update_service.return_value = fake_service.copy() self.addCleanup(p_get_service_list.stop) self.addCleanup(p_update_service.stop) @mock.patch.object(cnotification.CapacityNotificationEndpoint, 'info') def test_cinder_receive_capacity(self, m_info): message = self.load_message('capacity.json') expected_message = message['payload'] de_service = watcher_service.Service(fake_managers.FakeStorageManager) incoming = mock.Mock(ctxt=self.context.to_dict(), message=message) de_service.notification_handler.dispatcher.dispatch(incoming) m_info.assert_called_once_with( self.context, 'capacity.host1@backend1#pool1', 'capacity.pool', expected_message, self.FAKE_METADATA) @mock.patch.object(cnotification.VolumeCreateEnd, 'info') def test_cinder_receive_volume_create_end(self, m_info): message = self.load_message('scenario_1_volume-create.json') expected_message = message['payload'] de_service = watcher_service.Service(fake_managers.FakeStorageManager) incoming = mock.Mock(ctxt=self.context.to_dict(), message=message) de_service.notification_handler.dispatcher.dispatch(incoming) m_info.assert_called_once_with( self.context, 'volume.host_0@backend_0#pool_0', 'volume.create.end', expected_message, self.FAKE_METADATA) @mock.patch.object(cnotification.VolumeUpdateEnd, 'info') def test_cinder_receive_volume_update_end(self, m_info): message = self.load_message('scenario_1_volume-update.json') expected_message = message['payload'] de_service = watcher_service.Service(fake_managers.FakeStorageManager) incoming = mock.Mock(ctxt=self.context.to_dict(), message=message) de_service.notification_handler.dispatcher.dispatch(incoming) m_info.assert_called_once_with( self.context, 'volume.host_0@backend_0#pool_0', 'volume.update.end', expected_message, self.FAKE_METADATA) @mock.patch.object(cnotification.VolumeAttachEnd, 'info') def test_cinder_receive_volume_attach_end(self, m_info): message = self.load_message('scenario_1_volume-attach.json') expected_message = message['payload'] de_service = watcher_service.Service(fake_managers.FakeStorageManager) incoming = mock.Mock(ctxt=self.context.to_dict(), message=message) de_service.notification_handler.dispatcher.dispatch(incoming) m_info.assert_called_once_with( self.context, 'volume.host_0@backend_0#pool_0', 'volume.attach.end', expected_message, self.FAKE_METADATA) @mock.patch.object(cnotification.VolumeDetachEnd, 'info') def test_cinder_receive_volume_detach_end(self, m_info): message = self.load_message('scenario_1_volume-detach.json') expected_message = message['payload'] de_service = watcher_service.Service(fake_managers.FakeStorageManager) incoming = mock.Mock(ctxt=self.context.to_dict(), message=message) de_service.notification_handler.dispatcher.dispatch(incoming) m_info.assert_called_once_with( self.context, 'volume.host_0@backend_0#pool_0', 'volume.detach.end', expected_message, self.FAKE_METADATA) @mock.patch.object(cnotification.VolumeResizeEnd, 'info') def test_cinder_receive_volume_resize_end(self, m_info): message = self.load_message('scenario_1_volume-resize.json') expected_message = message['payload'] de_service = watcher_service.Service(fake_managers.FakeStorageManager) incoming = mock.Mock(ctxt=self.context.to_dict(), message=message) de_service.notification_handler.dispatcher.dispatch(incoming) m_info.assert_called_once_with( self.context, 'volume.host_0@backend_0#pool_0', 'volume.resize.end', expected_message, self.FAKE_METADATA) @mock.patch.object(cnotification.VolumeDeleteEnd, 'info') def test_cinder_receive_volume_delete_end(self, m_info): message = self.load_message('scenario_1_volume-delete.json') expected_message = message['payload'] de_service = watcher_service.Service(fake_managers.FakeStorageManager) incoming = mock.Mock(ctxt=self.context.to_dict(), message=message) de_service.notification_handler.dispatcher.dispatch(incoming) m_info.assert_called_once_with( self.context, 'volume.host_0@backend_0#pool_0', 'volume.delete.end', expected_message, self.FAKE_METADATA) class TestCinderNotifications(NotificationTestCase): FAKE_METADATA = {'message_id': None, 'timestamp': None} def setUp(self): super(TestCinderNotifications, self).setUp() # fake cluster self.fake_cdmc = faker_cluster_state.FakerStorageModelCollector() def test_cinder_capacity(self): """test consuming capacity""" storage_model = self.fake_cdmc.generate_scenario_1() self.fake_cdmc.cluster_data_model = storage_model handler = cnotification.CapacityNotificationEndpoint(self.fake_cdmc) pool_0_name = 'host_0@backend_0#pool_0' pool_0 = storage_model.get_pool_by_pool_name(pool_0_name) # before self.assertEqual(pool_0_name, pool_0.name) self.assertEqual(420, pool_0.free_capacity_gb) self.assertEqual(420, pool_0.virtual_free) self.assertEqual(80, pool_0.allocated_capacity_gb) self.assertEqual(80, pool_0.provisioned_capacity_gb) message = self.load_message('scenario_1_capacity.json') handler.info( ctxt=self.context, publisher_id=message['publisher_id'], event_type=message['event_type'], payload=message['payload'], metadata=self.FAKE_METADATA, ) # after self.assertEqual(pool_0_name, pool_0.name) self.assertEqual(460, pool_0.free_capacity_gb) self.assertEqual(460, pool_0.virtual_free) self.assertEqual(40, pool_0.allocated_capacity_gb) self.assertEqual(40, pool_0.provisioned_capacity_gb) @mock.patch.object(cinder_helper, 'CinderHelper') def test_cinder_capacity_pool_notfound(self, m_cinder_helper): """test consuming capacity, new pool in existing node""" # storage_pool_by_name mock return_mock = mock.Mock() return_mock.configure_mock( name='host_0@backend_0#pool_2', total_volumes='2', total_capacity_gb='500', free_capacity_gb='380', provisioned_capacity_gb='120', allocated_capacity_gb='120') m_get_storage_pool_by_name = mock.Mock( side_effect=lambda name: return_mock) m_cinder_helper.return_value = mock.Mock( get_storage_pool_by_name=m_get_storage_pool_by_name) storage_model = self.fake_cdmc.generate_scenario_1() self.fake_cdmc.cluster_data_model = storage_model handler = cnotification.CapacityNotificationEndpoint(self.fake_cdmc) message = self.load_message('scenario_1_capacity_pool_notfound.json') handler.info( ctxt=self.context, publisher_id=message['publisher_id'], event_type=message['event_type'], payload=message['payload'], metadata=self.FAKE_METADATA, ) # after consuming message, still pool_0 exists pool_0_name = 'host_0@backend_0#pool_0' pool_0 = storage_model.get_pool_by_pool_name(pool_0_name) self.assertEqual(pool_0_name, pool_0.name) self.assertEqual(420, pool_0.free_capacity_gb) self.assertEqual(420, pool_0.virtual_free) self.assertEqual(80, pool_0.allocated_capacity_gb) self.assertEqual(80, pool_0.provisioned_capacity_gb) # new pool was added pool_1_name = 'host_0@backend_0#pool_2' m_get_storage_pool_by_name.assert_called_once_with(pool_1_name) storage_node = storage_model.get_node_by_pool_name(pool_1_name) self.assertEqual('host_0@backend_0', storage_node.host) pool_1 = storage_model.get_pool_by_pool_name(pool_1_name) self.assertEqual(pool_1_name, pool_1.name) self.assertEqual(500, pool_1.total_capacity_gb) self.assertEqual(380, pool_1.free_capacity_gb) self.assertEqual(120, pool_1.allocated_capacity_gb) @mock.patch.object(cinder_helper, 'CinderHelper') def test_cinder_capacity_node_notfound(self, m_cinder_helper): """test consuming capacity, new pool in new node""" return_pool_mock = mock.Mock() return_pool_mock.configure_mock( name='host_2@backend_2#pool_0', total_volumes='2', total_capacity_gb='500', free_capacity_gb='460', provisioned_capacity_gb='40', allocated_capacity_gb='40') m_get_storage_pool_by_name = mock.Mock( side_effect=lambda name: return_pool_mock) # storage_node_by_name mock return_node_mock = mock.Mock() return_node_mock.configure_mock( host='host_2@backend_2', zone='nova', state='up', status='enabled') m_get_storage_node_by_name = mock.Mock( side_effect=lambda name: return_node_mock) m_get_volume_type_by_backendname = mock.Mock( side_effect=lambda name: [mock.Mock('backend_2')]) m_cinder_helper.return_value = mock.Mock( get_storage_pool_by_name=m_get_storage_pool_by_name, get_storage_node_by_name=m_get_storage_node_by_name, get_volume_type_by_backendname=m_get_volume_type_by_backendname) storage_model = self.fake_cdmc.generate_scenario_1() self.fake_cdmc.cluster_data_model = storage_model handler = cnotification.CapacityNotificationEndpoint(self.fake_cdmc) message = self.load_message('scenario_1_capacity_node_notfound.json') # self.assertRaises(exception.StorageNodeNotFound, handler.info, handler.info( ctxt=self.context, publisher_id=message['publisher_id'], event_type=message['event_type'], payload=message['payload'], metadata=self.FAKE_METADATA, ) # new pool and new node was added node_1_name = 'host_2@backend_2' pool_1_name = node_1_name + '#pool_0' volume_type = 'backend_2' m_get_storage_pool_by_name.assert_called_once_with(pool_1_name) m_get_storage_node_by_name.assert_called_once_with(node_1_name) m_get_volume_type_by_backendname.assert_called_once_with(volume_type) # new node was added storage_node = storage_model.get_node_by_pool_name(pool_1_name) self.assertEqual('host_2@backend_2', storage_node.host) # new pool was added pool_1 = storage_model.get_pool_by_pool_name(pool_1_name) self.assertEqual(pool_1_name, pool_1.name) self.assertEqual(500, pool_1.total_capacity_gb) self.assertEqual(460, pool_1.free_capacity_gb) self.assertEqual(40, pool_1.allocated_capacity_gb) self.assertEqual(40, pool_1.provisioned_capacity_gb) @mock.patch.object(cinder_helper, 'CinderHelper') def test_cinder_volume_create(self, m_cinder_helper): """test creating volume in existing pool and node""" # create storage_pool_by_name mock return_pool_mock = mock.Mock() return_pool_mock.configure_mock( name='host_0@backend_0#pool_0', total_volumes='3', total_capacity_gb='500', free_capacity_gb='380', provisioned_capacity_gb='120', allocated_capacity_gb='120') m_get_storage_pool_by_name = mock.Mock( side_effect=lambda name: return_pool_mock) m_cinder_helper.return_value = mock.Mock( get_storage_pool_by_name=m_get_storage_pool_by_name) storage_model = self.fake_cdmc.generate_scenario_1() self.fake_cdmc.cluster_data_model = storage_model handler = cnotification.VolumeCreateEnd(self.fake_cdmc) message = self.load_message('scenario_1_volume-create.json') handler.info( ctxt=self.context, publisher_id=message['publisher_id'], event_type=message['event_type'], payload=message['payload'], metadata=self.FAKE_METADATA, ) # check that volume00 was added to the model volume_00_name = '990a723f-6c19-4f83-8526-6383c9e9389f' volume_00 = storage_model.get_volume_by_uuid(volume_00_name) self.assertEqual(volume_00_name, volume_00.uuid) self.assertFalse(volume_00.bootable) # check that capacity was updated pool_0_name = 'host_0@backend_0#pool_0' m_get_storage_pool_by_name.assert_called_once_with(pool_0_name) pool_0 = storage_model.get_pool_by_pool_name(pool_0_name) self.assertEqual(pool_0.name, pool_0_name) self.assertEqual(3, pool_0.total_volumes) self.assertEqual(380, pool_0.free_capacity_gb) self.assertEqual(120, pool_0.allocated_capacity_gb) self.assertEqual(120, pool_0.provisioned_capacity_gb) @mock.patch.object(cinder_helper, 'CinderHelper') def test_cinder_bootable_volume_create(self, m_cinder_helper): """test creating bootable volume in existing pool and node""" # create storage_pool_by_name mock return_pool_mock = mock.Mock() return_pool_mock.configure_mock( name='host_0@backend_0#pool_0', total_volumes='3', total_capacity_gb='500', free_capacity_gb='380', provisioned_capacity_gb='120', allocated_capacity_gb='120') m_get_storage_pool_by_name = mock.Mock( side_effect=lambda name: return_pool_mock) m_cinder_helper.return_value = mock.Mock( get_storage_pool_by_name=m_get_storage_pool_by_name) storage_model = self.fake_cdmc.generate_scenario_1() self.fake_cdmc.cluster_data_model = storage_model handler = cnotification.VolumeCreateEnd(self.fake_cdmc) message = self.load_message('scenario_1_bootable-volume-create.json') handler.info( ctxt=self.context, publisher_id=message['publisher_id'], event_type=message['event_type'], payload=message['payload'], metadata=self.FAKE_METADATA, ) # check that volume00 was added to the model volume_00_name = '990a723f-6c19-4f83-8526-6383c9e9389f' volume_00 = storage_model.get_volume_by_uuid(volume_00_name) self.assertEqual(volume_00_name, volume_00.uuid) self.assertTrue(volume_00.bootable) # check that capacity was updated pool_0_name = 'host_0@backend_0#pool_0' m_get_storage_pool_by_name.assert_called_once_with(pool_0_name) pool_0 = storage_model.get_pool_by_pool_name(pool_0_name) self.assertEqual(pool_0.name, pool_0_name) self.assertEqual(3, pool_0.total_volumes) self.assertEqual(380, pool_0.free_capacity_gb) self.assertEqual(120, pool_0.allocated_capacity_gb) self.assertEqual(120, pool_0.provisioned_capacity_gb) @mock.patch.object(cinder_helper, 'CinderHelper') def test_cinder_volume_create_pool_notfound(self, m_cinder_helper): """check creating volume in not existing pool and node""" # get_storage_pool_by_name mock return_pool_mock = mock.Mock() return_pool_mock.configure_mock( name='host_2@backend_2#pool_0', total_volumes='1', total_capacity_gb='500', free_capacity_gb='460', provisioned_capacity_gb='40', allocated_capacity_gb='40') m_get_storage_pool_by_name = mock.Mock( side_effect=lambda name: return_pool_mock) # create storage_node_by_name mock return_node_mock = mock.Mock() return_node_mock.configure_mock( host='host_2@backend_2', zone='nova', state='up', status='enabled') m_get_storage_node_by_name = mock.Mock( side_effect=lambda name: return_node_mock) m_get_volume_type_by_backendname = mock.Mock( side_effect=lambda name: [mock.Mock('backend_2')]) m_cinder_helper.return_value = mock.Mock( get_storage_pool_by_name=m_get_storage_pool_by_name, get_storage_node_by_name=m_get_storage_node_by_name, get_volume_type_by_backendname=m_get_volume_type_by_backendname) storage_model = self.fake_cdmc.generate_scenario_1() self.fake_cdmc.cluster_data_model = storage_model handler = cnotification.VolumeCreateEnd(self.fake_cdmc) message = self.load_message( 'scenario_1_volume-create_pool_notfound.json') handler.info( ctxt=self.context, publisher_id=message['publisher_id'], event_type=message['event_type'], payload=message['payload'], metadata=self.FAKE_METADATA, ) # check that volume00 was added to the model volume_00_name = '990a723f-6c19-4f83-8526-6383c9e9389f' volume_00 = storage_model.get_volume_by_uuid(volume_00_name) self.assertEqual(volume_00_name, volume_00.uuid) # check that capacity was updated node_2_name = 'host_2@backend_2' pool_0_name = node_2_name + '#pool_0' pool_0 = storage_model.get_pool_by_pool_name(pool_0_name) self.assertEqual(pool_0.name, pool_0_name) self.assertEqual(1, pool_0.total_volumes) self.assertEqual(460, pool_0.free_capacity_gb) self.assertEqual(40, pool_0.allocated_capacity_gb) self.assertEqual(40, pool_0.provisioned_capacity_gb) # check that node was added m_get_storage_node_by_name.assert_called_once_with(node_2_name) @mock.patch.object(cinder_helper, 'CinderHelper') def test_cinder_error_volume_unmapped(self, m_cinder_helper): """test creating error volume unmapped""" m_get_storage_pool_by_name = mock.Mock( side_effect=exception.PoolNotFound(name="TEST")) m_cinder_helper.return_value = mock.Mock( get_storage_pool_by_name=m_get_storage_pool_by_name) storage_model = self.fake_cdmc.generate_scenario_1() self.fake_cdmc.cluster_data_model = storage_model handler = cnotification.VolumeCreateEnd(self.fake_cdmc) message = self.load_message('scenario_1_error-volume-create.json') handler.info( ctxt=self.context, publisher_id=message['publisher_id'], event_type=message['event_type'], payload=message['payload'], metadata=self.FAKE_METADATA, ) # we do not call get_storage_pool_by_name m_get_storage_pool_by_name.assert_not_called() # check that volume00 was added to the model volume_00_name = '990a723f-6c19-4f83-8526-6383c9e9389f' volume_00 = storage_model.get_volume_by_uuid(volume_00_name) self.assertEqual(volume_00_name, volume_00.uuid) @mock.patch.object(cinder_helper, 'CinderHelper') def test_cinder_volume_update(self, m_cinder_helper): """test updating volume in existing pool and node""" storage_model = self.fake_cdmc.generate_scenario_1() self.fake_cdmc.cluster_data_model = storage_model handler = cnotification.VolumeUpdateEnd(self.fake_cdmc) volume_0_name = faker_cluster_state.volume_uuid_mapping['volume_0'] volume_0 = storage_model.get_volume_by_uuid(volume_0_name) self.assertEqual('name_0', volume_0.name) # create storage_pool_by name mock return_pool_mock = mock.Mock() return_pool_mock.configure_mock( name='host_0@backend_0#pool_0', total_volumes='2', total_capacity_gb='500', free_capacity_gb='420', provisioned_capacity_gb='80', allocated_capacity_gb='80') m_get_storage_pool_by_name = mock.Mock( side_effect=lambda name: return_pool_mock) m_cinder_helper.return_value = mock.Mock( get_storage_pool_by_name=m_get_storage_pool_by_name) message = self.load_message('scenario_1_volume-update.json') handler.info( ctxt=self.context, publisher_id=message['publisher_id'], event_type=message['event_type'], payload=message['payload'], metadata=self.FAKE_METADATA, ) # check that name of volume_0 was updated in the model volume_0 = storage_model.get_volume_by_uuid(volume_0_name) self.assertEqual('name_01', volume_0.name) @mock.patch.object(cinder_helper, 'CinderHelper') def test_cinder_volume_delete(self, m_cinder_helper): """test deleting volume""" # create storage_pool_by name mock return_pool_mock = mock.Mock() return_pool_mock.configure_mock( name='host_0@backend_0#pool_0', total_volumes='1', total_capacity_gb='500', free_capacity_gb='460', provisioned_capacity_gb='40', allocated_capacity_gb='40') m_get_storage_pool_by_name = mock.Mock( side_effect=lambda name: return_pool_mock) m_cinder_helper.return_value = mock.Mock( get_storage_pool_by_name=m_get_storage_pool_by_name) storage_model = self.fake_cdmc.generate_scenario_1() self.fake_cdmc.cluster_data_model = storage_model handler = cnotification.VolumeDeleteEnd(self.fake_cdmc) # volume exists before consuming volume_0_uuid = faker_cluster_state.volume_uuid_mapping['volume_0'] volume_0 = storage_model.get_volume_by_uuid(volume_0_uuid) self.assertEqual(volume_0_uuid, volume_0.uuid) message = self.load_message('scenario_1_volume-delete.json') handler.info( ctxt=self.context, publisher_id=message['publisher_id'], event_type=message['event_type'], payload=message['payload'], metadata=self.FAKE_METADATA, ) # volume does not exists after consuming self.assertRaises( exception.VolumeNotFound, storage_model.get_volume_by_uuid, volume_0_uuid) # check that capacity was updated pool_0_name = 'host_0@backend_0#pool_0' m_get_storage_pool_by_name.assert_called_once_with(pool_0_name) pool_0 = storage_model.get_pool_by_pool_name(pool_0_name) self.assertEqual(pool_0.name, pool_0_name) self.assertEqual(1, pool_0.total_volumes) self.assertEqual(460, pool_0.free_capacity_gb) self.assertEqual(40, pool_0.allocated_capacity_gb) self.assertEqual(40, pool_0.provisioned_capacity_gb)

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43b788baee1d98c07f735ea80586a1e013560de6

93,976

py

Python

tests/sample_program/converter.py

zevtyardt/no-strint

47583d55e3c4cd12f00f46902d2fd7d5138c3275

[ "MIT" ]

13

2019-03-13T04:14:45.000Z

2020-04-05T09:13:21.000Z

tests/sample_program/converter.py

zevtyardt/no-strint

47583d55e3c4cd12f00f46902d2fd7d5138c3275

[ "MIT" ]

null

tests/sample_program/converter.py

zevtyardt/no-strint

47583d55e3c4cd12f00f46902d2fd7d5138c3275

[ "MIT" ]

6

2019-03-22T04:48:59.000Z

2020-08-07T17:09:20.000Z

# _ @ Sat Apr 6 09:11:31 2019 # (o) # (_|_) <no strint> 1.4.9 @ zvtyrdt.id # ||| (https://github.com/zevtyardt) def nwords(num): num = int(num) units = [((lambda:(([]==[])-({}<[]))).func_code.co_lnotab), str(bytearray((((((([]>{})+([]<=[])+(()>={}))+(([]<=())+({}!=())+([]>{}))+(([]>{})-(()!=())))<<((({}!=[])+([]!=()))+(([]>=[])+(()!={}))))-((([]!=())-({}!={})))),((((({}<())+([]<())+(()!={}))+((()!=[])+(()>={})+([]<=[]))+((()>[])*([]<=[])))<<((([]>={})+({}<()))+(([]==[])+({}!=()))))-((((()>{})+([]>())))<<((({}>=[])+([]<()))))),((((((((()>[])+([]>=[])+({}<[])))<<(((()>=())+([]>={})+(()>{}))))+((({}=={})*({}<=[])))))<<(((()>[])+({}!=()))))+((([]!={})+(()>())))),))), ((lambda:(([]==[])*(()<=[]))).func_code.co_lnotab).join(map(chr,[(((((()>=[])+([]!=())+(()>[]))+(({}<())+([]!=())+(()>{}))+(([]==())+(()==())))<<(((()!=[])+([]>{}))+((()!={})+([]>=[]))))+(((({}!=())-({}>[])))<<(((()<=())+([]!={}))))),(((((((([]>{})-([]>=())))<<((({}<={})+({}!=()))+(({}<=())+(()>=()))))-((({}<())+({}>())))))<<((([]<=[])+(()<=())+({}!=()))))-(((()==())-([]>[])))),((((([]>={})+([]>={})+([]<=()))+(([]!={})+([]>=[])+([]>=[]))+(([]==())+(()>=())))<<((([]>={})+({}<={}))+((()>[])+([]!=()))))-((([]!=())*(()>={}))))])), (lambda 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_:_(map(chr,[(((((((([]<{})+([]!=())))<<((([]<=[])+({}=={}))+(([]==[])+([]==[]))))-((({}==())+({}<=[])))))<<((([]>=[])+({}<[])+([]>={}))))-(((({}!={})+({}<={})))<<((({}<{})+([]>={}))))),((((((((((()>={})+(()>{})+({}<=())))<<((([]>=[])+(()!=[]))))+((([]>=())+(()>=[])))))))<<((({}!=[])+({}<=[])+(()==()))))+((([]<=[])-({}!={})))),(((((((((({}<[])+({}<())+([]>=[])))<<((([]<=())+({}<[]))))+(((()!=[])*(()<=())))))))<<(((()>[])+([]<())+(()>{}))))-(((()>[])+({}!={})))),(((((((((([]<=())+({}<=())+({}!=[])))<<(((()>=())+(()>=[]))))+((({}!=())-({}!={})))))))<<((({}<={})+({}<=[])+(()>[]))))+((({}<[])-({}<{})))),(((((()>=())+([]>={})+(()>=()))+(([]<())+([]!=())+([]!={}))+(({}<=())*(()>[])))<<((([]!=())+([]>={}))+(({}<())+([]!={}))))-((((()<={})+([]>={})))<<(((()!={})+({}>{}))))),(((((()<=())+(()>={})+([]!={}))+(([]!=())+(()!={})+({}=={}))+((()!={})*(()==())))<<((([]>={})+(()==()))+((()>[])+([]>=[]))))+(((({}<=[])*(()!={})))<<((({}<={})+([]==[]))))),((((((((((()<=())+({}<={})+(()<=())))<<((([]<())+([]<=()))))+((([]<[])+([]>{})))))))<<((({}>={})+(()>=[])+({}<()))))+(((()!={})*([]>={})))),((((((((()!=[])+(()>{})+(()<=()))+(({}<[])+(()>={})+([]>{}))+(({}<=[])*({}=={})))<<(((()>[])+({}<()))))-((([]>{})+(()<())))))<<((({}<[])+([]<=()))))),(((((((([]==[])+([]<())+({}<[]))+(([]!={})+({}<())+(()==()))+(([]>={})*(()!={})))<<(((()>=[])+({}<[]))))-((({}!=[])*([]>=[])))))<<((({}<())+({}<()))))),((((((((((()>={})+([]!={})+({}=={})))<<(((()>{})+(()==()))))+(((()>[])+([]<={})))))))<<(((()>=[])+({}=={})+({}!=[]))))+((({}<=())*([]>{})))),((((([]<=())+({}<={})+([]>={}))+(({}<[])+({}>={})+({}!=[]))+((()!=[])-([]<[])))<<((([]<=())+({}<=[]))+(({}!=())+([]!=()))))-((([]==[])*(()>[])))),((((({}!=())+({}<=())+([]!={}))+(({}<=())+([]>=[])+(()!=[]))+(([]==())+(()>[])))<<((({}!=[])+([]!={}))+(([]>=[])+({}=={}))))-(((({}!=())*({}<())))<<((([]<())*(()>=())))))])))(((lambda:(({}>={})*(()<[]))).func_code.co_lnotab).join)] words = [] if ((((({}>={})-([]==())))<<((([]!=())+([]>{})+([]>{}))+(([]==[])+(()>{})+({}!=()))))+(((({}!=())-(()>())))<<((({}<())-([]<[])))))-(((((()==())-({}>())))<<((({}!=[])+([]!=())+([]!=()))+(([]!={})+([]!={})+(()>{}))))+((((()!=())+([]>{})))<<((([]>[])+({}<()))))): print (((((()<=())*([]!=())))<<((([]==[])+({}<=())+([]<=()))+(([]!=())+({}=={})+([]>{}))))+((([]<[])+({}>={}))))==(((((((((({}<=[])+(()>=())+({}!=())))<<(((()!={})+(()==()))))+((([]>=())+(()!=[])))))))<<((([]<())+({}<={}))))+((([]==[])*(()<=())))) print ((lambda:(([]<{})*([]=={}))).func_code.co_lnotab).join(map(chr,[(((((()>={})+({}>={}))+(({}!=[])+({}<[]))+(([]>={})-({}>{})))<<((([]<=())+(()>={}))+(([]>{})+({}!=[]))))),((((({}<=())+(()>={})+([]<()))+(([]>{})+({}=={})+({}!=[]))+((()==())*(()>[])))<<((({}<())+([]<()))+(({}!=[])+(()==()))))+(((({}<=())-(()!=())))<<(((()>{})+([]<=()))))),(((((((({}<=[])*({}=={})))<<((([]!=())+(()>={}))+(({}<={})+({}>={}))))-(((()<())+(()==())))))<<((([]>=[])+([]!=())+([]>{}))))+(((([]>{})-(()<={})))<<((([]<=())-([]!=[]))))),(((((((([]==[])+(()>{}))+(([]!={})+({}<()))+((()>={})+([]!=[])))<<(((()>=())+(()>=()))))-(((()!=[])-(()=={})))))<<(((()<=())+(()>=()))))),(((((((((((({}!=())+({}==())))<<(((()>=())+(()>=[])+([]!={}))))+(((()<=())-([]=={})))))))))<<(((()>{})+([]>=[])+([]<()))))),((((([]>{})+(()>[]))+((()<=())+({}>={}))+(({}=={})+({}==[])))<<(((()!={})+({}>={}))+(({}<=())+(()==()))))-(((()!={})+(()=={}))))])) if ((((([]>={})-([]!=[])))<<((([]>=[])+([]>={})+({}<=()))+(({}!=[])+(()>={})+([]<=[]))))-(((()<=())*({}<=()))))-((((({}>={})*([]!=())))<<((({}>={})+(()!={})+(()<=()))+(([]<=[])+([]<=())+({}<()))))-(((()>{})+(()<[])))): print (((((((((((()>[])*(()>[])))<<((({}>={})+({}<[])+(()!=[]))))+((({}<=())+(()!=()))))))))))!=(((((((([]>={})+(()>[])+([]!={})))<<(((()!={})+({}<={})+(()!={}))))-((({}<[])-(()<{})))))<<((([]!=())+(()>{}))))) if (((((((((((([]<={})+([]<())))<<((([]<=[])+([]>={})+({}<=[]))))+((([]>=[])-({}>=[])))))))))<<(((()>=[])*([]<())))))-(((((((((((({}==())+(()>[])))<<((([]==[])+(()>{})+(()>{}))))+((({}<[])*([]>=[])))))))))<<((([]<())*(()>={}))))): print (lambda _:_(map(chr,[(((((()>{})+({}<=[])+({}<={}))+(({}=={})+({}<[])+([]<=[]))+(([]>=[])+({}==())))<<((([]!=())+([]==[]))+((()>{})+({}<=()))))-((((()==())*([]!=())))<<(((()<=[])+(()!=[]))))),(((((((({}<=())+(()<())))<<((({}=={})+([]<=()))+((()>{})+(()>=[]))))+((({}<=[])+(()=={})))))<<((({}<())+([]>{}))))-((({}<[])+([]>[])))),(((((((([]>=[])*(()>=[])))<<(((()>{})+([]<()))+(({}!=())+(()>[]))))+((([]<=())-({}==[])))))<<((({}=={})+([]>{}))))),((((([]!={})+(()>=[])+(()>{}))+((()>=[])+([]<=[])+(()==()))+((()>[])+({}>{})))<<((([]<=())+([]!={}))+(([]>=[])+(()==()))))-(((()!={})+([]==())))),((((([]!=())+(()>[])+([]!=()))+(({}<=())+([]>=[])+([]<=[]))+(([]!=())*({}>={})))<<((([]<=())+([]>{}))+(({}!=[])+([]>=[]))))+(((({}<=[])+({}>=())))<<((({}!=[])+(()==()))))),((((([]<())+(()!={}))+(({}<())+(()>{}))+(([]!=[])+({}<={})))<<(((()>=())+([]>={}))+(([]<=[])+([]>={}))))),(((((((([]<=[])+(()<=()))+((()==())+({}<={}))+((()>())+(()<=())))<<(((()!=[])+(()==()))))+((([]<=())*([]<=[])))))<<(((()>={})+([]<=()))))+(((()!={})*({}>={})))),(((((()<=())+([]!={})+(()>=())))<<((({}<=())+({}!=[]))+(({}!=())+([]>={}))+(({}>={})-([]>=()))))+((({}>[])+(()!=[])))),((((([]<=())+([]<=[]))+((()>=())+({}<()))+((()>=[])-([]<{})))<<((([]<=())+([]<()))+(([]<=())+(()!=[]))))-(((({}!=())+(()<())))<<((([]<=())+(()==[]))))),(((((((([]<())+({}<()))+(([]<=())+({}>={}))+(([]>=())+(()>={})))<<((({}=={})+([]>={}))))-(((()==())*([]!={})))))<<(((()>[])+([]!=()))))-((([]==())+(()<=())))),((((((((()=={})+(()==())))<<(((()>{})+([]>=[]))+((()!=[])+([]!=()))))+(((()<={})+(()>={})))))<<((([]<=[])+(()!=[]))))-(((()!=[])*({}=={})))),(((((((((([]>{})+([]>={})+([]>{})))<<((({}<=[])+(()<=()))))+((([]>={})-({}==[])))))))<<((([]>=[])+({}=={})+(()>[]))))+((((()=={})+([]>{})))<<((({}<=[])+([]<={}))))),((((((((((((()!=[])*({}!=())))<<((([]!={})+({}!=())+([]!={}))))+((({}<=[])-(()<())))))))))<<(((()>={})+(()>={})+({}<[]))))+((([]>{})*(()!={})))),((((((((()>{})+([]<=[]))+(([]<=())+(()>=[]))+((()!={})-({}>())))<<(((()<=())+({}!=[]))))-((({}>[])+({}<=[])))))<<((([]>=[])+({}<=()))))),(((((((((([]>={})+(()!={})+({}<={})))<<((([]<=())+(()==()))))-((({}<={})-(()==[])))))))<<(((()>=[])+({}!=[])+([]<=()))))-(((([]<[])+([]==[])))<<((([]>{})-({}>[])))))])))(((lambda:(({}>())*(()<=()))).func_code.co_lnotab).join) print (((((((({}<=[])+([]!={}))+((()>=())+(()!={}))+(({}!=[])-(()<[])))<<((([]>{})+([]<=[]))))-((({}<[])-({}==[])))))<<(((()!=[])+(()>=[])))))>=(((((((((((([]>=[])-(()<=[])))<<((({}!=[])+({}<())+([]>=[]))))+((([]<())+(()<[])))))))))<<((({}=={})+([]>=[]))))+((({}<[])*({}<={})))) if num==((()!=())-({}>[])): words.append((lambda _:_(map(chr,[(((((((([]>={})*([]<=())))<<(((()>=[])+({}!=[]))+(({}>={})+({}<=()))))-((([]==[])*({}<=[])))))<<(((()==())+({}>={})+({}>={}))))+(((({}<={})*({}<())))<<((([]!=())*(()==()))))),((((((((()>=())+([]>{})+({}!=())))<<((([]<=[])+([]>{})+(()>[]))))+((([]<())-({}>[])))))<<((({}=={})+([]==[]))))+((([]>=[])+({}>())))),((((({}<())+([]!=())+({}>={}))+((()>{})+([]<())+([]<=()))+(([]==[])+([]>=())))<<((({}>={})+([]>{}))+(([]!=())+({}=={}))))+(((({}!=[])+({}<{})))<<(((()<[])+([]!={}))))),((((([]==[])+({}<={})+(()>=()))+(([]!=())+([]!={})+(()<=()))+(([]<=())*({}<=[])))<<((([]!={})+([]<=[]))+(([]<=())+([]>=[]))))-((([]>{})+(()<()))))])))(((lambda:((()<[])*({}!=[]))).func_code.co_lnotab).join)) else: numStr = (lambda _:_(map(chr,[((((((((((((()>={})+(()<{})))<<((([]!={})+(()>[])+(()>={}))))+(((()>=())+([]<={})))))))))<<(((()>[])+(()!={}))))+(((()<())+([]>{})))),((((((((()>{})+({}!=())+(()!=[])))<<(((()>[])+([]<())+({}=={}))))+((([]>=[])+(()!=())))))<<(((()>[])+([]<=[])))))])))(((lambda:((()<=[])*(()>()))).func_code.co_lnotab).join)%num numStrLen = len(numStr) if ((((((((()==())-(()!=())))<<(((()<=())+({}!=()))+(({}!=())+(()>=[]))))-(((()>=())*(()>[])))))<<((([]>={})+([]<=())))))-((((((((()>=[])+(()!=())))<<(((()!=[])+(()>{}))+((()>[])+({}!=()))))-((({}<[])*({}>={})))))<<((([]>=[])+(()>=[]))))): print (((((((((({}=={})+(()>=[])+([]<())))<<((({}<=[])+({}=={}))))-((({}=={})*(()>=())))))))<<(((()>={})+({}!=[])))))<=(((((((([]>=[])+(()>=()))+((()<=())+([]!=()))+((()>={})*(()>{})))<<(((()!=[])+({}!=()))))+((([]<{})+([]>={})))))<<(((()==())+(()<{}))))) if (((((()>={})+({}!=())+(()>{}))+(({}<=())+(()!=[])+(()>{}))+((()==())*(()>{})))<<((([]<=[])+([]<=[]))))+(((()<={})+([]<=[]))))-((((([]>={})+({}!=())+(()>{}))+(({}<=())+({}<[])+({}=={}))+(({}<=[])*(()<=())))<<((([]<=[])+({}!=()))))+((({}>{})+(()<=())))): print ((((((((((((()<={})+([]>={})))<<((({}!=[])+(()>{})+([]<()))))+((([]>())+({}<={})))))))))<<((({}>={})+([]>{})))))>=((((([]<=())+({}>=[])))<<((({}>={})+([]<())+([]!={}))))) if (((((()>=())+({}<=())+([]!={})))<<((({}!=())-({}>=())))))-(((((()!=[])+([]<=())+(()>=[])))<<((([]==[])-({}>()))))): print ((lambda:(({}==())-([]<{}))).func_code.co_lnotab).join(map(chr,[(((((((({}<[])+({}=={}))+(({}>={})+([]!={}))+(([]<=[])+({}>{})))<<((([]<())+({}>={}))))-((([]>={})*({}<())))))<<(((()!=[])+({}<[]))))-(((()==())+({}>[])))),(((((()<[])+({}<[])))<<((({}=={})+({}<=[])+([]<=()))+((()>={})+([]<())+({}<=()))))+(((()<=())+({}<{})))),(((((((((([]!=())+(()!={})+({}=={})))<<(((()!={})+(()>[]))))-((([]==[])*({}>={})))))))<<((({}<[])+({}<=())+({}!=()))))+((([]>())+({}!=[])))),(((((((((({}=={})+([]<())+({}!=())))<<((([]>=[])+([]>={}))))-(((()>=())*({}!=[])))))))<<(((()==())+({}=={})+({}<={}))))-(((({}<())-(()!=())))<<((([]>={})-(()<=[]))))),(((((()!=[])+({}>())))<<((({}<[])+([]<=())+([]<()))+(({}<[])+({}<=())+(()>=[]))))+(((()>())+([]<())))),((((((((()<=())+({}==())))<<((([]>={})+({}>={}))+((()>=[])+(()>{}))))-((([]<())+({}>=[])))))<<(((()!={})+({}<={})+({}<()))))-((({}<[])-(()<={})))),(((((((((([]!=())+([]==[])+(()<=())))<<((({}=={})+({}<={}))))+((({}>={})-([]>[])))))))<<(((()<=())+(()!={})+({}<[]))))+((({}<())*([]!=())))),((((({}=={})+({}<=())+([]!=()))+(([]<=[])+({}<=[])+({}<[]))+(({}<=())-([]<{})))<<(((()==())+(()>=[]))+((()>{})+(()>=()))))),((((((((((()!={})+([]!={})+({}!=[])))<<((({}!=())+([]==[]))))-((([]=={})+([]<=())))))))<<((({}<=[])+([]<())+([]==[]))))-((([]>{})-({}>())))),(((((((((([]<=[])+([]<=[])+(()!=[])))<<((([]!=())+([]>=[]))))-((({}>={})-(()<())))))))<<(((()>{})+({}!=[])+({}<={}))))+(((([]<())+(()<())))<<((([]!={})+({}==()))))),((((((((()>={})+(()!=[])+([]>={}))+(({}!=[])+(()==())+(()>=()))+(([]>[])+(()==())))<<((({}!=())+(()>[]))))-((([]<=[])-(()<[])))))<<((({}<=[])+([]>=[]))))+(((()<[])+([]==[])))),((((((((((((()!=[])+({}>{})))<<((({}<=())+({}<=())+({}<={}))))+(((()>={})+(()<=[])))))))))<<((([]>{})+({}>={})+({}>={}))))+(((()>[])*(()>=[])))),((((((((((()>=())+(()>=[])+(()!=[])))<<((({}<[])+(()>=[]))))-((([]!=())+({}>=())))))))<<((({}<=())+({}!=())+(()<=()))))-(((([]=={})+({}<={})))<<((({}<={})+(()<{})))))])) if (((((((({}>={})+(()!=())))<<((([]<())+([]<=()))+((()>=())+({}=={}))))-(((()<{})+({}<=())))))<<((({}>=())+(()==())))))-(((((((({}>{})+([]!={})))<<((({}!=())+({}>={}))+(([]<())+({}>={}))))-((([]!=())-({}==[])))))<<((([]==[])+([]>=()))))): print (lambda _:_(map(chr,[(((((((([]<())+(()!=())))<<((([]<())+(()>=()))+(([]!=())+({}>={}))))-((([]==())+(()>[])))))<<(((()<=())+([]<=[])+({}<=()))))-((([]!=[])+({}<())))),((((([]==[])+({}=={}))+(({}=={})+({}=={}))+((()>[])-(()<())))<<(((()<=())+([]!=()))+(({}<=[])+({}<={}))))),((((((((((()>[])+(()>[])+([]<=[])))<<((({}!=())+([]<()))))-(((()>=[])*({}<=[])))))))<<((({}<())+({}<=())+({}>={}))))-((([]==[])-([]!=[])))),((((([]!={})+([]>=[])+([]>=[])))<<(((()>=())+({}<()))+(({}<[])+({}>={}))+(({}!=())-(()<[]))))+(((([]<{})+({}<=[])))<<((({}!={})+(()==()))))),((((((((()<=())*(()!=[])))<<(((()>{})+([]>=[]))+(({}<())+([]>{}))))-(((()!=[])*({}<())))))<<((({}<={})+(()!={})+({}!=[]))))-(((({}<=[])+(()<{})))<<((({}>{})+([]==[]))))),(((((()!=[])+([]>{})+({}!=()))+(({}>={})+({}<=())+(()>=[]))+((()!={})-(()>())))<<(((()>[])+(()>[]))+((()>=[])+([]<())))))])))(((lambda:(({}>{})*([]!=[]))).func_code.co_lnotab).join) print (((((((([]!=())-(()<[])))<<(((()>{})+([]>{}))+(({}>={})+(()>{}))))-((([]>=())+({}!=())))))<<((({}<[])+(()!={})))))<((((((((((((()>={})*({}>={})))<<((([]<=())+({}!=())+(()==()))))+(((()<=())*([]>=[])))))))))<<((({}<())+([]>={})+({}<=[]))))-((({}<={})-({}>=[])))) if (((((()>[])+({}!=[])+([]<=[]))+((()>=[])+([]<=[])+(()>[]))+((()>=[])-(()!=())))<<(((()!=[])-(()=={})))))-((((([]>={})+([]<=())+({}=={}))+((()>={})+([]>={})+({}=={}))+((()!={})+(()<{})))<<((([]>={})+([]>=()))))): print str(bytearray(((((((((({}<=())+([]>={}))+(([]>={})+([]!=()))+((()>[])-({}>())))<<((({}<[])+([]>={}))))+((([]>=[])*([]>{})))))<<((([]>{})+({}<()))))+((({}!=())+({}>[])))),(((((((([]==[])+({}<={}))+((()==())+([]<()))+(({}>{})+({}>={})))<<((({}!=[])+(()<=()))))+((([]<={})+([]>{})))))<<((([]<=())+(()>[]))))),(((((((({}!=[])-(()<())))<<((([]==[])+(()>=()))+(({}!=())+([]!={}))))-((([]<())+([]<={})))))<<((([]>=[])+([]>{})+([]>={}))))),(((((((((({}<[])+(()>={})+({}<={})))<<((({}<=())+(()!={}))))+((({}>={})*([]<=())))))))<<((([]>={})+([]==[])+({}>={}))))-((([]>=())+({}<=())))),(((((((({}!=[])+({}<())+({}<=()))+((()>=[])+([]>={})+({}>={}))+(([]==[])-(()<[])))<<(((()>{})+(()==()))))-((([]!={})+([]!=[])))))<<(((()>=[])+([]>=[]))))+((({}<{})+(()>={})))),((((([]<[])+([]>={})))<<(((()>{})+(()>=())+(()!=[]))+((()==())+({}<=[])+([]==[]))))+((([]<=())-({}>())))),(((((((((([]>{})+({}<=())+(()>=())))<<(((()==())+([]>={}))))+((({}>=())+([]>={})))))))<<((([]>{})+(()>{})+([]==[]))))-((({}<={})*(()>{})))),(((((((({}<={})+([]<()))+(([]>={})+({}!=()))+(({}>=[])+([]<())))<<(((()!={})+(()!=[]))))+((([]==[])*({}>={})))))<<((({}=={})+([]<=[]))))),((((((((()>=[])+([]==[])+([]<=[]))+((()>[])+([]>=[])+({}!=()))+(([]<=())*({}<())))<<(((()>[])+([]!={}))))-((([]<=())-(()<())))))<<(((()>={})+({}!=[]))))),((((((((()!={})+([]<())+([]>{}))+((()>[])+(()!={})+(()>={}))+((()>=[])*([]<())))<<((({}<=[])+({}<=()))))-(((()>[])+([]==())))))<<(((()!=[])+({}=={}))))+((({}>{})+(()>[])))),(((((()!=[])+([]!=())+({}<()))+((()>[])+(()>[])+([]<()))+(([]==[])+({}>())))<<((({}!=())+({}!=[]))+(([]!=())+(()>{}))))+(((([]>[])+(()>={})))<<((([]<())*([]<()))))),(((((((([]!=())+(()!={})+([]!=()))+(([]>=[])+(()<=())+([]==[]))+(([]>={})-([]<{})))<<((({}>={})+(()>[]))))-((([]>[])+([]<())))))<<((([]>={})+({}>={}))))-((([]<())+(()<[])))),(((((((([]!={})-([]!=[])))<<((([]<())+({}<()))+(({}<[])+(()<=()))))+(((()<=())+({}==[])))))<<((([]<=[])+({}!=()))))),((((([]!={})+({}>={})+({}>={}))+((()>{})+([]!=())+([]<=()))+(({}<[])+([]<[])))<<((([]>=[])+([]>=[]))+(({}!=[])+({}<()))))-(((({}!=[])-(()=={})))<<(((()!={})*(()>[]))))),(((((()==())+(()<=())+([]!={}))+(({}>={})+([]>{})+([]!={}))+((()>={})*([]!={})))<<((([]<=[])+({}<={}))+(({}!=[])+([]>=[]))))+((((()<[])+([]>{})))<<((([]<=[])+([]<=()))))),((((({}<=())+(()>=())+({}!=()))+(([]!=())+({}<={})+(()<=()))+(({}>=[])+({}<[])))<<(((()>[])+([]<=[]))+(([]>=[])+({}<[]))))+((({}!=[])+({}<=[])+({}!=())))),(((((()>{})+([]>=[]))+(({}<=[])+({}<=[]))+(({}>())+([]<=())))<<(((()!=[])+({}=={}))+(({}<[])+(()==()))))-((((()!={})-([]<[])))<<(((()==[])+(()>={}))))),((((([]>=[])+([]>{})+(()>=())))<<(((()>{})+([]!=()))+(({}!=())+({}<=[]))+(({}!=())+({}>[]))))+((([]=={})+(()==())))),(((((((([]!=())+({}==[])))<<((([]<=())+(()!={}))+((()>[])+({}!=[]))))-((({}!=[])*([]!=())))))<<(((()!=[])+([]!=())+(()>=[]))))-(((()>{})+({}!={})))),))) groups = (numStrLen+(((((()!={})*(()==())))<<((({}!=())-(()<[]))))))/((({}=={})+({}<[])+([]!={}))) numStr = numStr.zfill(groups*((([]>{})+({}!=[])+({}!=())))) if (((((((((([]>={})+([]>={})+({}<=[])))<<((({}<[])+({}<[]))))-((([]>=())+([]==[])))))))<<((({}<=[])+({}<[])+([]>{}))))+(((([]!=())*(()>={})))<<((({}<[])*(()>{})))))-(((((((((([]!=())+(()!=[])+({}=={})))<<((({}<={})+({}!=[]))))-(((()!={})-({}>=())))))))<<((([]!={})+([]>=[])+({}=={}))))+(((({}==[])+({}<=())))<<(((()<=[])+({}=={}))))): print str(bytearray((((((([]<())+([]>=[]))+(([]<())+(()!=[]))+((()!={})+({}!={})))<<((([]<())+({}=={}))+(([]<())+(()>=()))))),(((((((([]<=[])+([]=={})))<<(((()!=[])+({}=={}))+((()>=[])+(()>[]))))+(((()!=[])-(()<())))))<<((([]>{})+([]>{}))))),((((([]<=())+(()!=[])+([]>{}))+(([]<=())+([]==[])+([]<=[]))+((()!={})-({}==[])))<<((({}<={})+({}<={}))+((()==())+([]<=[]))))-(((([]<=())*({}<=[])))<<((({}<[])+([]>()))))),(((((((((((({}>={})*({}<=())))<<(((()>=())+([]!={})+([]>=[]))))+((([]<=[])*({}!=())))))))))<<(((()==())+(()!={})+({}<()))))-((([]>=())+(()==())))),((((((((((()>=())+({}=={})+({}<={})))<<((([]>{})+(()>[]))))+((({}=={})+([]>())))))))<<((([]==[])+([]>={})+({}>={}))))+((([]!={})-([]=={})))),(((((((({}>={})+(()!={}))+(({}=={})+({}>={}))+((()>=[])*({}<=[])))<<((([]!=())+([]<=[]))))-((({}<=())*([]<=[])))))<<(((()==())+(()>[]))))+((([]<())-({}>{})))),))) print ((([]>{})+({}>={})+([]!=())))>=((((((((((({}<=[])+([]!=[])))<<(((()<=())+({}<=[])+([]==[]))))+((([]!=[])+({}<())))))))))) if ((((((((()>=[])+([]!=()))+(({}<=[])+(()<=()))+(({}=={})+({}>=[])))<<(((()>=())+([]<()))))-(((()>[])+(()<[])))))<<((([]!=())+(()<=()))))+((({}<={})*([]>={}))))-(((((((({}<=[])+([]!={}))+(({}<=())+([]<=[]))+(({}!=[])+(()<={})))<<((({}<())+([]!=()))))-((([]!={})+({}<{})))))<<(((()!=[])+({}<=[]))))+((({}==[])+([]<=())))): print str(bytearray((((((({}>={})+(()>{}))+(({}<[])+({}<=[]))+((()>())+(()>=[])))<<(((()>=())+([]<()))+(({}<[])+([]!=()))))-((({}<[])-({}>())))),((((((((((()>{})+(()>=())+(()==())))<<(((()==())+(()>=[]))))+((({}!=())-({}<{})))))))<<((([]!=())+([]!={})+({}<=[]))))-((((()!=[])+(()<={})))<<((([]<())*(()!={}))))),(((((((({}<=())*(()>={})))<<((({}<[])+({}<={}))+(({}!=[])+([]>=[]))))+((({}!=[])+(()<=[])))))<<(((()>{})+([]>=[]))))+((({}<=[])*({}=={})))),(((((((((([]>={})+({}<())+({}=={})))<<((([]>=[])+({}>={}))))-(((()>())+(()==())))))))<<((([]==[])+(()>=[])+({}<[]))))-(((([]!={})*([]<=[])))<<((({}!=())*(()>{}))))),))) print (((()>={})+({}<={})+(()>=[]))+(({}<=())+([]>{})+(()>[]))+(([]>{})-(()=={})))!=((((([]<=())+({}<={})+(()>={})))<<(((()!={})-({}>=[]))))) if ((((({}<[])*({}!=())))<<((({}!=[])+(()!={})+([]==[]))+(([]<())+(()>=())+(()>=()))))-((((()>=())*([]!={})))<<(((()<=())-({}<{})))))-((((([]>={})-([]<[])))<<(((()>=())+([]!=())+({}!=()))+(([]>{})+(()<=())+([]==[]))))-(((({}=={})*({}<())))<<((({}<())-({}>=()))))): print ((((([]==[])+([]<=[])+([]<=[])))<<((({}<=())*({}>={})))))==((((([]<())+([]<())+([]!=()))+(([]>{})+([]!={})+([]>{}))+(({}<{})+([]>=[])))<<((({}<())+(()>={}))))-((([]<=())-(()<=[])))) if (((((((()<={})+({}<[])))<<((([]!={})+(()>{}))+(({}!=[])+({}!=[]))))+((({}=={})*([]!=()))))))-((((((({}<=())+(()==[])))<<((([]<=[])+([]<=[]))+(([]==[])+({}<[]))))+(((()==())-([]!=[])))))): print ((((([]<())+(()<=[])))<<((([]<=[])*(()!=[])))))!=(((((()<=())+(()<=())+([]<())))<<((([]<=())+([]<()))+(([]!={})+([]<=()))+(({}<={})*([]!={}))))+((((()!=[])*([]==[])))<<((([]>={})-({}>{}))))) print (((((((()>={})+(()>())))<<((([]==[])+(()>=[]))+(([]>=[])+({}<[]))))+((({}!=())-(()<[]))))))!=((((({}<())+({}<()))+(([]<=())+(()>=[]))+((()<=[])+({}>={})))<<(((()>={})+(()>=()))+(([]<=[])+({}!=()))))+(((({}<={})+([]!=[])))<<((({}!=[])*(()>={}))))) if ((((((((((()>=())+({}<[])+(()>{})))<<(((()>=[])+({}!=()))))-(((()<={})+({}!=[])))))))<<((([]<=())+(()!=[])+({}<={}))))+((({}<[])+(()<()))))-(((((((((({}!=[])+([]!={})+({}!=())))<<((([]<=[])+([]==[]))))-((([]>={})*({}=={})))))))<<((([]>=[])+(()>=())+([]>{}))))+((({}<[])+([]<{})))): print ((((({}!=[])+(()>[]))+(({}!=[])+({}<={}))+(([]>={})*({}>={})))<<((({}<[])+([]>={}))+(({}<=())+([]!={}))))-(((()>{})-([]>=()))))<(((((()>[])-({}==())))<<(((()<=())+({}<())+(()>[]))+(({}!=())+(()<=())+([]!=()))))+(((({}<={})-(()==[])))<<((([]>{})-([]>()))))) for i in range(((()>=[])*([]>())), groups*(((()==())+(()>=[])+([]!={}))), ((([]>{})+([]<())+({}<=())))): h, t, u = int(numStr[i]), int(numStr[i+((({}>=())+([]>={})))]), int(numStr[i+((((({}!=[])-(()<{})))<<(((()>=())-(()<{})))))]) g = groups-(i/((([]>{})+({}<())+({}!=[])))+((({}<())-(()=={})))) if (((((((({}<=())*([]>{})))<<((({}<={})+([]<=()))+(([]>={})+([]<=[]))))-((({}<[])-(()==[])))))<<(((()>=[])+({}!=()))))-(((()>={})+({}==()))))-(((((((({}>=[])+({}<=())))<<((({}<=[])+({}>={}))+(({}<[])+([]==[]))))-((({}!=())*([]<())))))<<((([]<())+([]>=[]))))-((([]<{})+([]>={})))): print ((((({}>{})+(()>[])))<<(((()>=[])+([]!=())+(()<=()))+((()>=())+({}<={})+(()<=()))))+((([]<=())-({}!={}))))<((((([]<=[])+(()!={})+({}=={})))<<(((()==())+([]>={})+({}<[]))))+((([]<=[])+(()<={})))) if ((((((((()>{})+({}==())))<<((([]!={})+([]>={}))+((()!={})+([]<=()))))-(((()=={})+([]!={})))))<<(((()>={})+({}!=[]))))+((({}<={})*(()!=[]))))-(((((((({}>=())+([]>=[])))<<(((()>[])+({}<=()))+((()!={})+({}<=()))))-((({}>={})-({}==[])))))<<((([]!=())+([]>{}))))+(((()<=())+(()<=[])))): print ((((({}!=[])+(()!=[]))+(({}<=[])+([]>{}))+(({}!=())-({}>())))<<((([]<=[])+([]==[])+({}<())))))<=((((([]!={})+({}>())))<<((({}<={})+({}!=[]))+(([]<=())+([]<()))+((()>=[])-({}==[]))))-(((()==[])+([]<=())))) print (lambda _:_(map(chr,[((((((((()<=())+({}!=())+({}>={})))<<(((()!=[])+({}<=())+([]<=()))))+((([]<=())+([]>=())))))<<((([]>{})+(()>=[]))))+((({}!=())-([]<={})))),((((((((((((()>=[])+([]<{})))<<(((()>=[])+({}>={})+({}!=()))))+((({}>())+([]>={})))))))))<<(((()>=())+(()<=())+(()>{}))))-(((({}!=())+([]>[])))<<(((()>=())*({}>={}))))),((((((((()<{})+([]<=())))<<((({}<())+({}<()))+((()>{})+(()>={}))))-((([]<=())+({}!={})))))<<(((()>=())+([]<())+([]==[]))))-(((({}!=[])-({}!={})))<<((([]!=())+({}>[]))))),(((((()>=())+({}<=()))+(({}<={})+({}<=[]))+(([]<=[])-([]<[])))<<(((()==())+({}!=[]))+(([]!={})+({}=={}))))+((((()==())-(()<[])))<<((({}<={})-([]>()))))),(((((((([]!=())+({}<())+({}<=())))<<((([]>{})+({}<())+(()>{}))))+(((()!={})-(()=={})))))<<((({}<=())+([]<=()))))+((({}==())+(()>{})))),((((([]>={})+([]>{})+([]!={}))+(({}<())+(()>=[])+({}>={}))+(({}>{})+([]>{})))<<(((()<=())+(()!=[]))+(({}=={})+(()>{}))))+(((()<=())+({}<={})+([]<=())))),((((((((((()>{})+([]!=())+([]!=())))<<(((()>{})+(()>=()))))+(((()>=())-({}>=[])))))))<<(((()>{})+([]>={})+([]>=[]))))),(((((((({}>[])+(()>={})))<<((([]>={})+(()!={}))+(([]>=[])+(()>{}))))-((([]!=())-([]<[])))))<<((([]!=())+([]!={})+({}<=[]))))-((((()>=())*([]!=())))<<(((()>=[])+([]>()))))),(((((()>[])+([]<()))+(({}<=[])+({}<={}))+((()>=[])*({}<={})))<<(((()>[])+(()>=()))+((()>=())+(()>=()))))+(((([]<())-({}!={})))<<(((()==())*({}<=[])))))])))(((lambda:(([]<[])*(()<{}))).func_code.co_lnotab).join) if (((((((()>=())+({}>[])))<<((([]<=[])+(()>={}))+((()>{})+([]>=[]))))-(((()>())+([]>{}))))))-((((((([]>={})-({}>())))<<(((()==())+([]<=[]))+(([]!=())+({}>={}))))-(((()<={})+([]>=[])))))): print (((((((((((({}>{})+([]>={})))<<((([]==[])+(()!={})+({}=={}))))+(((()!=())+([]!=())))))))))<<(((()!={})+(()>=())+({}<=[])))))<=((((((((()>=[])+([]>[])))<<((({}<[])+([]<=()))+(([]>{})+({}=={}))))+(((()>[])+(()<{})))))<<(((()>[])+([]==[]))))-((([]<[])+([]!=())))) print ((((((((()!=[])*({}<={})))<<(((()!={})+([]<=()))+(([]>={})+(()!={}))))-(((()!=[])-(()>())))))<<(((()!=[])*([]<=())))))<((((({}<())+([]<()))+(([]<=())+({}!=[]))+(([]>{})-([]>=())))<<(((()>={})+([]>=[]))+(([]>={})+({}<()))))-((((()<={})+([]!=())))<<((({}<=())-([]>()))))) if h>=((({}=={})*({}<[]))): words.append(units[h]) words.append(str(bytearray((((((((((((()==())+({}>={})+([]!={})))<<((([]==[])+(()>={}))))+((([]<=())+(()==[])))))))<<((([]!=())+(()>=[])+([]!={}))))),(((((((({}>{})+([]==[])))<<((([]<=())+(()>=[]))+(([]!={})+(()>=[]))))-(((()==())*(()>=[])))))<<(((()!=[])+({}!=())+(()>=()))))-(((()<=())+([]!={})+({}<=[])))),((((([]!=())+({}!=())+(()>[]))+(([]>={})+([]!={})+({}!=[]))+((()==())*({}<=())))<<(((()<=())+({}=={}))+(([]<=[])+({}<=[]))))-(((({}<=())*({}<=())))<<((([]<())*({}<=[]))))),(((((((([]<=())+([]<())+(()>={})))<<((({}!=[])+([]>={})+([]!={}))))+((({}>[])+(()>=[])))))<<((([]!={})+({}<()))))),((((({}<={})+({}<={})+(()>={}))+(({}<=[])+(()>=[])+(()<=()))+(([]<())-({}>=())))<<(((()!={})+({}<=()))+((()!={})+(()>{}))))+(((([]!=())*(()>{})))<<(((()>={})-({}>()))))),((((((((()>={})+({}<=())+({}<=[])))<<((({}<())+([]!=())+([]>{}))))+((({}=={})*([]!=())))))<<((({}!=[])+([]==[]))))+((([]>=())+([]<=())))),(((((((({}=={})+({}!=())+({}<[])))<<((([]>{})+({}<=())+({}=={}))))+(((()<=())+(()==[])))))<<((([]>{})+(()<=()))))),)))) if ((((((((()<=())+([]!={}))+(([]!={})+([]<=[]))+(({}<=())+([]=={})))<<((([]!={})+({}<=[]))))-((({}!=())*(()<=())))))<<((([]==[])+([]>{}))))+((([]<())-({}>=[]))))-(((((((([]==[])+({}<=[]))+((()>={})+(()>=()))+(({}>())+(()==())))<<(((()!={})+(()<=()))))-((([]<[])+(()>={})))))<<((({}>={})+({}=={}))))+(((()<=())+([]>=())))): print (lambda _:_(map(chr,[(((((((({}<())+({}=={})+([]>=[])))<<(((()>=[])+({}<())+({}<={}))))+((({}<[])+({}>=[])))))<<(((()>[])+(()>{}))))-((([]<=[])-([]<={})))),(((((()!=[])+(()>=())+([]<=())))<<(((()>{})+({}<[]))+((()>={})+({}!=()))+(([]>={})*([]==[]))))+((([]>=[])-({}>())))),(((((()<=())+({}<()))+(({}<=())+([]!={}))+((()==())+(()<[])))<<((({}=={})+([]>={}))+((()!=[])+({}<()))))-((((()!=[])+(()<{})))<<((({}<={})-(()<={}))))),((((({}<=())*(()>=[])))<<((([]<=[])+([]==[])+(()>[]))+(({}<={})+([]>={})+({}<=[]))))+((((()<=())-([]>=())))<<((({}<={})*(()==()))))),((((((((((()>{})+(()!={})+({}<=())))<<(((()<=())+(()>{}))))-((({}<={})+([]>())))))))<<((([]<=())+({}>={})+({}<={}))))-(((()<=())*({}!=())))),(((((((((((({}<())-([]<={})))<<((([]==[])+(()>=())+({}<={}))))+((({}>())+([]!={})))))))))<<((({}!=[])+({}<[])+(()>{}))))+(((({}<[])-({}>())))<<((({}>={})*(()<=()))))),(((((((((([]>=[])+(()>=())+(()>={})))<<((({}=={})+({}!=[]))))-(((()>=[])+([]==())))))))<<((([]<())+([]<())+(()!={}))))+((({}=={})+(()<()))))])))(((lambda:((()==())*(()==[]))).func_code.co_lnotab).join) print (lambda _:_(map(chr,[(((((((((([]<=())+(()==())+([]>=[])))<<((({}<={})+(()>{}))))+((([]==[])*({}=={})))))))<<(((()==())+({}<[])+(()==()))))-(((()>=())-(()>())))),((((({}<())+([]==[])+({}<()))+(({}<=())+([]<())+([]<=()))+(({}>{})+({}<[])))<<(((()!={})+({}>={}))+(({}>={})+(()>=()))))+(((({}!=[])+([]==())))<<((({}==[])+({}!=[]))))),(((((((([]!=())-(()<[])))<<((({}=={})+({}<[]))+(([]>{})+(()>[]))))-(((()=={})+([]==[])))))<<(((()<=())+([]<())+(()>[]))))),(((((((({}>=())+([]>={})))<<((([]<=[])+({}<=()))+((()>=[])+({}<()))))-(((()>=[])-(()!=())))))<<((([]>=[])+([]<=())+([]<=()))))-((({}<[])+({}>={})+([]!=())))),((((([]!={})+({}<())+([]<=()))+((()>=())+([]>=[])+(()!=[]))+((()!={})*(()==())))<<((([]!={})+({}!=[]))+(([]<=())+([]>={}))))+(((()!=())+({}<=())))),((((({}!=())+([]<=())+(()>{}))+(({}<())+([]!=())+({}<()))+((()>=[])+(()!=())))<<(((()==())+(()!={}))+((()>={})+(()>=[]))))+(((({}==[])+([]>{})))<<((([]!=[])+({}<()))))),(((((((({}=={})+([]>={})+([]<())))<<(((()>=[])+(()==())+(()>=()))))+(((()<=())-(()<[])))))<<((({}<[])+({}>={}))))),(((((()>=())+([]<=[]))+(({}<={})+({}<=()))+(({}<=())*([]<())))<<((([]!={})+({}<[]))+(([]>=[])+(()>{}))))),((((({}!=[])+({}<=[])+([]<()))+((()>[])+({}=={})+([]<()))+(({}!=())+({}==[])))<<(((()>=())+({}!=[]))+(({}<=())+(()==()))))-(((()>=[])-(()<())))),(((((((((((({}=={})*(()>=[])))<<(((()>={})+({}<=())+({}<={}))))+((([]>=[])*({}>={})))))))))<<((([]<=())+(()>[])+({}!=()))))+((([]!={})-([]<[])))),((((((((((()>[])+([]==[])+(()<=())))<<(((()>[])+([]<=()))))+(((()!=[])-(()<())))))))<<((([]>=[])+([]<=())+(()<=()))))+(((([]==[])-([]<{})))<<((([]<=())+({}>{}))))),(((((((({}<=[])*(()==())))<<((([]==[])+([]>={}))+(({}=={})+({}<={}))))-((({}<())*([]>=[])))))<<((({}<=())+({}<[])+(()!=[]))))-((((()>{})*({}=={})))<<((([]<=[])+({}==()))))),(((((((({}=={})+({}<=[]))+((()!={})+({}!=[]))+((()>())+({}=={})))<<((([]!={})+(()>{}))))-((({}!=[])+(()<())))))<<((([]!={})+({}>={}))))-(((()>={})+({}>=[])))),((((((((((((()>{})+(()<())))<<((({}!=[])+(()>[])+(()==()))))+(((()<[])+(()>{})))))))))<<((({}<=[])+([]>{})+({}!=[]))))+((((()>[])*({}<=())))<<(((()==())+({}<{}))))),((((((((()>=[])+([]<()))+(({}!=())+([]>=[]))+(([]>{})+(()<={})))<<(((()<=())+({}=={}))))-(((()=={})+([]<=[])))))<<((([]!={})+(()>=())))))])))(((lambda:(({}<{})+(()<[]))).func_code.co_lnotab).join) if (((((((([]>[])+(()==())))<<((([]<())+(()>[]))+((()>=())+({}<=()))))-((([]>=[])-(()<=[])))))<<((([]==[])*([]!={})))))-(((((((({}=={})-({}>{})))<<((([]<=[])+({}<=()))+((()>{})+(()>={}))))-((([]<=[])*({}<=[])))))<<((({}!=())*(()<=()))))): print (lambda _:_(map(chr,[(((((((({}=={})+(()<={})))<<((([]<=[])+(()>{}))+(({}<={})+([]!=()))))-((({}=={})-([]>[])))))<<((([]>{})+(()<=())+(()==()))))-((([]>=[])+([]<())+([]>{})))),((((([]<())+([]>={}))+((()>=[])+({}<=()))+((()>=())*({}<=[])))<<(((()>={})+([]>{}))+(({}<=())+({}<()))))),((((((((()!={})+({}<{})))<<(((()>=())+(()>{}))+(({}<())+([]>={}))))-(((()>{})+({}==[])))))<<((([]>={})+([]!={})+({}<={}))))-((({}<[])-({}==())))),(((((()<=())+([]<()))+((()>=[])+([]<()))+(({}!=[])+([]>=())))<<((([]<())+([]>=[]))+(([]>{})+({}!=[]))))+(((([]==[])+([]>[])))<<((([]!={})+({}!={}))))),(((((()!=[])+({}!=[]))+(([]>{})+({}<=()))+(({}!={})+({}!=())))<<((([]!=())+({}<=[]))+((()>{})+([]>{}))))+(((({}<={})-(()>())))<<((({}>={})-(()<())))))])))(((lambda:(([]!=())-(()>=()))).func_code.co_lnotab).join) if t>((({}<())*([]>={}))): words.append(tens[t]) if u >= (((()<())+([]>{}))): words.append(units[u]) elif t == ((([]==[])-(()<()))): if u >= ((([]!=())+({}>{}))): words.append(teens[u]) else: words.append(tens[t]) else: if u >= (((()<{})+(()>=()))): words.append(units[u]) if (g >= ((({}==[])+(()>[])))) and ((h + t + u ) > (([]!=())-(()!={}))): words.append(thousands[g]) return str(bytearray((((((({}<())-({}>=())))<<(((()>{})+(()>{}))+(([]<=())+([]>={}))+((()!=[])*(()>[]))))),))).join(words) if (((((((((([]<())+(()>=())+(()>[])))<<(((()!=[])+({}>={}))))-(((()==())+([]<={})))))))<<((([]!={})+({}<=())+(()>={}))))+(((({}!=[])*(()>{})))<<((({}<=())-(()!=())))))-(((((((((([]<=())+(()!=[])+([]>{})))<<((({}!=())+([]>=[]))))-(((()>=[])-({}!={})))))))<<((({}=={})+([]!={})+([]<=()))))+(((({}==())+({}<[])))<<((([]==())+(()>[]))))): print (((((((()>{})+({}=={})+({}!=())))<<(((()>=[])+(()!={})+(()!={}))))-(((()<=[])+(()>={}))))))>=((((({}=={})+([]<=())+(()==())))<<((([]<())+([]>=[]))))) print (((((()>[])+(()<=[])))<<((({}>={})+({}<=[])))))<=((((((((()==[])+(()>=())))<<((({}!=())+([]>={}))+((()>=())+([]!={}))))+((([]==[])-(()>())))))<<((({}!=[])-({}>()))))) if ((((([]<=[])+([]!={}))+(({}<={})+(()<=()))+((()<=[])+(()<=())))<<((({}!=())+(()!=[])+(()>[]))))+(((()>=())*(()==()))))-(((((()!=[])+({}!=()))+(({}<=[])+([]<=[]))+(([]>=[])*(()!={})))<<((({}<=())+([]==[])+(()>[]))))+((({}!=[])+(()<{})))): print ((lambda:((()=={})+([]<{}))).func_code.co_lnotab).join(map(chr,[(((((((({}!=())+(()<={})))<<((([]>=[])+([]>{}))+(({}<())+({}!=[]))))-((({}<=[])-([]>())))))<<((([]>={})+([]==[])+([]==[]))))-(((()>{})+({}>={})+({}=={})))),((((((((()!=[])+([]<=())+([]!={}))+(([]==[])+([]<())+(()>=[]))+(([]>=[])*(()!=[])))<<((([]<())+([]>=[]))))-((([]<=())+(()<{})))))<<(((()!={})+([]!=()))))+((({}!=[])+([]==())))),(((((((({}<=[])+({}!=[]))+((()<=())+(()<=()))+((()!=[])*({}<=())))<<(((()<=())+(()>[]))))+((({}<())-({}==())))))<<((([]<=())+([]>={}))))+((({}<=())+([]==())))),((((({}<={})+({}<())+(()>[]))+((()>{})+([]!=())+({}!=()))+(([]>{})-({}==())))<<((([]>={})+(()<=()))+(({}<=())+(()!=[]))))-(((({}>=())+({}<={})))<<((([]<=())*([]!={}))))),((((((((()!=[])+(()!={}))+(({}<={})+([]>=[]))+((()==[])+({}<[])))<<(((()>{})+(()!={}))))+((({}>={})+([]<={})))))<<((({}<=[])+({}!=[]))))-((([]==[])-({}!={})))),((((((((((((()>[])*([]<=[])))<<((([]<=[])+([]!={})+({}<[]))))+(((()<())+({}<={})))))))))<<((({}<=[])+([]!={})+(()>=()))))),((((((((()>=[])+({}>={}))+(([]<=[])+([]!={}))+(({}!=[])*(()>={})))<<((({}=={})+([]==[]))))-(((()>=[])*([]<=())))))<<(((()>{})+(()!={}))))+((({}<=[])+(()<[])))),(((((((([]<{})+(()>{})))<<((([]!=())+({}<=()))+(([]!={})+({}<=[]))))-(((()>=[])-([]=={})))))<<(((()>=())+({}!=[])+(()>={}))))-((({}<=[])+({}<=())+(()>=())))),(((((((({}<())+({}!=[])+([]<=[]))+(({}<={})+(()>={})+([]<=()))+(([]!=())*([]<=())))<<(((()>{})+({}<[]))))-((({}!=[])-({}>{})))))<<((({}<=[])+(()!=[]))))+((({}<={})*({}!=[])))),(((((()>=())+(()=={})))<<(((()==())+({}<=())+(()==()))+(({}<=[])+([]>{})+(()>={}))))+(((()!=())+(()>={})))),((((({}=={})+([]!={})+([]==[]))+((()>[])+({}<())+(()>{}))+(({}<=())+({}>=())))<<((({}<=())+([]!=()))+(([]>={})+({}<={}))))+((([]==[])+({}=={})+([]!={})))),(((((((([]<=[])+({}<())+({}=={}))+(({}<())+(()>{})+({}!=()))+((()!=[])*([]<=())))<<((([]>=[])+(()>{}))))-((([]<=[])-([]<{})))))<<((({}=={})+(()>=[]))))+((({}!=[])*([]>{})))),((((((((((((()==[])+(()>{})))<<((([]<=())+({}=={})+(()<=()))))+((({}<[])*(()<=())))))))))<<((([]<=[])+(()!={})+(()!=[]))))-(((([]==[])+([]==())))<<((({}<=[])*([]<()))))),(((((((((((([]<=())-([]<{})))<<(((()>=[])+({}!=[])+([]==[]))))+((([]!=())-({}!={})))))))))<<(((()!={})+([]!={})+([]>{}))))-(((()==[])+(()>={})))),(((((((((((([]<())+(()<{})))<<((({}<=())+(()<=())+({}<=()))))+(((()>[])+([]==())))))))))<<((({}<={})+([]>{})+({}<[]))))),(((((((((((({}>={})-({}<{})))<<((([]<=())+({}<=())+(()>{}))))+((([]<=[])*({}<=())))))))))<<((({}<=[])+(()>=[])+({}!=[]))))+(((({}<={})-({}>())))<<(((()>=())+({}==()))))),(((((()>=[])+({}=={})+([]!=()))+(([]<=[])+(()!={})+([]>{}))+(({}>={})+([]==())))<<((({}<={})+([]!={}))+((()!=[])+({}<[]))))+((((()<={})+(()>=())))<<((([]>=[])+(()>={}))))),((((([]>=[])+([]>{}))+(({}=={})+({}>={}))+(({}!=[])-([]<[])))<<((([]>=[])+(()>={}))+(([]==[])+(()<=()))))-(((({}!={})+({}<={})))<<((({}<[])-(()<={})))))])) print ((((({}<=[])+({}>={})+(()==()))+(({}<=[])+([]<=[])+({}<=()))+(([]==[])-(()<={})))<<(((()>={})+([]==[])+(()>=()))))+((({}<=[])*([]>=[]))))!=(((((()!={})+({}<={})+({}!=())))<<(((()>[])+({}=={}))+(({}<={})+(()>=[]))+(([]>{})*(()>=[]))))-((([]>=[])-([]>=())))) if ((((([]==[])*([]<())))<<((({}<())+(()!=[])+({}<=()))+(({}<[])+([]<=[])+([]>={})))))-(((((()<=())-(()<=[])))<<(((()>[])+(()>={})+({}<[]))+(([]>={})+([]<())+(()>=()))))): print str(bytearray(((((((((({}<())*([]>=[])))<<((({}<())+({}<()))+(([]<())+({}!=()))))+((([]!=())*([]>={})))))<<((({}<=())+(()==()))))-(((()<[])+({}<())))),((((((((((()!=[])+(()>=[])+([]>=[])))<<((({}>={})+({}=={}))))-(((()>=())*(()>=[])))))))<<((({}<={})+([]==[])+([]<=[]))))-(((({}<=[])*(()>[])))<<((([]<{})+(()!={}))))),(((((((([]==[])*({}!=())))<<((([]==[])+([]>=[]))+((()==())+(()!=[]))))+((({}>={})+([]>())))))<<(((()>=[])+({}=={}))))-((({}<[])+({}<{})))),(((((((([]>=[])+({}<())+({}<[])))<<((([]<=[])+(()>={})+(()>=[]))))+(((()<{})+(()==())))))<<((({}<={})+({}<={}))))+(((()==())*(()>={})))),((((((((((()<=())+({}=={})+([]>={})))<<((({}!=[])+(()>{}))))+((({}>[])+(()!={})))))))<<(((()>{})+([]>{})+(()==()))))+(((()!=())+({}<={})))),((((((((()<[])+({}!=())))<<((([]==[])+([]==[]))+(({}=={})+({}<=()))))-((([]>=[])+([]==())))))<<((([]==[])+(()>=[])+({}<=()))))+((((()==())-(()==[])))<<((({}==())+(()!={}))))),(((((((((([]<())+([]!=())+(()<=())))<<((({}<())+(()==()))))+(((()!=())+({}<[])))))))<<((({}<[])+(()!=[])+([]==[]))))),(((((()>=[])+([]>=[])+({}<={}))+(([]<())+(()<=())+(()>={}))+(({}<[])+(()<=[])))<<(((()!=[])+({}<={}))+(({}<())+({}=={}))))+(((()!={})+(()>={})+([]==[])))),))) print (lambda _:_(map(chr,[(((((((((([]==[])+({}<=())+([]<=[])))<<(((()>[])+(()>=()))))+((([]>=[])*({}<[])))))))<<((([]>={})+({}!=[])+([]==[]))))+(((({}==[])+([]!={})))<<((({}=={})-(()==[]))))),(((((((({}<[])+([]<=())+(()>=[]))+(({}<[])+(()>=[])+([]>{}))+(([]<{})+([]==[])))<<(((()>{})+(()==()))))-(((()<())+([]!={})))))<<((({}=={})+({}!=[]))))+((([]>={})*([]<=())))),((((([]==())+(()!={})))<<((([]<=[])+([]!={})+({}<=()))+(([]<=())+({}!=())+([]>=[]))))+((({}>())+({}=={})))),((((((((()>{})+({}!=()))+(({}>={})+([]<=()))+(([]!={})+({}>[])))<<((({}>={})+([]<=()))))+(((()<())+({}>={})))))<<(((()!={})+([]<()))))-((({}<[])+({}>=[])))),((((((((()>[])+(()<{})))<<((({}<[])+([]<=[]))+(([]>=[])+([]>{}))))+(((()>={})-({}>=[])))))<<((([]>={})+([]!=()))))+((({}=={})-({}==())))),(((((((((({}<[])+(()>=[])+({}<[])))<<((({}<={})+([]<=[]))))-(((()<=[])+(()==())))))))<<((([]!={})+(()!=[])+(()>=()))))+((({}<())*({}!=()))))])))(((lambda:((()>())*([]>{}))).func_code.co_lnotab).join) from sys import * if len(argv) > ((({}<={})+({}>{}))): print nwords(str().join(argv[(((()>=[])*(()!={}))):])) else: print ((lambda:((()<{})*(()>()))).func_code.co_lnotab).join(map(chr,[(((((((((((({}<={})*([]>{})))<<((({}<=())+(()>=[])+(()==()))))+((({}<={})+([]!=[])))))))))<<(((()>=())+([]!=()))))+((([]<=())+({}>{})))),(((((()>[])+([]<())+(()>{}))+(({}<=[])+({}=={})+({}<=()))+(([]>{})+({}==[])))<<((({}<[])+({}!=()))+(({}<())+([]>={}))))+((([]<())+(()==())+({}<())))),((((([]>={})-({}>())))<<((([]==[])+([]>=[]))+((()>={})+({}!=()))+(({}=={})+({}>[]))))),(((((((({}>{})+(()>=[])))<<(((()>=[])+([]>{}))+(([]>=[])+([]>={}))))-((({}>={})-([]=={})))))<<((([]>={})+({}<={}))))),(((((((((([]>={})+(()>=())+(()>={})))<<((([]!=())+([]>={}))))+((([]<())*([]>=[])))))))<<((({}<())+([]<=[])+(()<=()))))+(((()>={})+({}>=[])))),(((((()<=())+([]>=[])+([]!={}))+(({}<[])+({}<())+({}=={}))+(([]<=())-(()!=())))<<((([]>={})+(()>[]))+(({}<=())+(()>[]))))-(((([]!=())*(()>=())))<<((({}>={})*({}!=()))))),(((((()<=())+(()>=())+([]!=()))+(({}<=[])+({}<={})+(()==()))+(({}!={})+({}!=[])))<<((([]>{})+([]>=[]))+(({}>={})+(()>=[]))))+(((([]<())*([]>=[])))<<((({}<[])+(()>=[]))))),((((({}<=())+(()<[])))<<((({}<())+(()>=())+({}<()))+((()>[])+({}=={})+({}=={}))))-(((([]>=())+({}<=[])))<<((({}=={})+(()<{}))))),(((((()>={})+({}>=())))<<((({}=={})+(()==()))+((()>{})+(()>{}))+((()!=[])+(()<[]))))),(((((((([]<=[])+([]<=()))+(([]!=())+({}!=()))+(({}<=[])+({}==())))<<(((()!=[])+([]>=[]))))+((([]==[])*(()<=())))))<<((([]!=())*(()!={})))))])) % argv[(({}>[])+(()<={}))]

886.566038

6,816

0.029529

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4.135433

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null

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1

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null

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12

6001de93978479f1e6a99b4880f8e1741443c7fd

9,558

py

Python

torchsar/dsp/interpolation.py

aisari/torchsar

05a46610d68bc884743a483565279f361ade5384

[ "Apache-2.0" ]

3

2021-06-04T13:13:07.000Z

2021-08-24T16:28:31.000Z

torchlib/dsp/interpolation.py

antsfamily/torchtool

fd0d6e6fe6701206b15f95af145d6178a87233f9

[ "MIT" ]

null

torchlib/dsp/interpolation.py

antsfamily/torchtool

fd0d6e6fe6701206b15f95af145d6178a87233f9

[ "MIT" ]

2

2021-08-15T09:01:03.000Z

2021-12-21T08:53:53.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # @Date : 2019-11-07 17:00:48 # @Author : Zhi Liu (zhiliu.mind@gmail.com) # @Link : http://iridescent.ink # @Version : $1.0$ import torch.nn.functional as thf def interpolate(input, size=None, scale_factor=None, mode='nearest', align_corners=None, recompute_scale_factor=None): r"""Down/up samples the input to either the given :attr:`size` or the given :attr:`scale_factor` The algorithm used for interpolation is determined by :attr:`mode`. Currently temporal, spatial and volumetric sampling are supported, i.e. expected inputs are 3-D, 4-D or 5-D in shape. The input dimensions are interpreted in the form: `mini-batch x channels x [optional depth] x [optional height] x width`. The modes available for resizing are: `nearest`, `linear` (3D-only), `bilinear`, `bicubic` (4D-only), `trilinear` (5D-only), `area` Args: input (Tensor): the input tensor size (int or Tuple[int] or Tuple[int, int] or Tuple[int, int, int]): output spatial size. scale_factor (float or Tuple[float]): multiplier for spatial size. Has to match input size if it is a tuple. mode (str): algorithm used for upsampling: ``'nearest'`` | ``'linear'`` | ``'bilinear'`` | ``'bicubic'`` | ``'trilinear'`` | ``'area'``. Default: ``'nearest'`` align_corners (bool, optional): Geometrically, we consider the pixels of the input and output as squares rather than points. If set to ``True``, the input and output tensors are aligned by the center points of their corner pixels, preserving the values at the corner pixels. If set to ``False``, the input and output tensors are aligned by the corner points of their corner pixels, and the interpolation uses edge value padding for out-of-boundary values, making this operation *independent* of input size when :attr:`scale_factor` is kept the same. This only has an effect when :attr:`mode` is ``'linear'``, ``'bilinear'``, ``'bicubic'`` or ``'trilinear'``. Default: ``False`` recompute_scale_factor (bool, optional): recompute the scale_factor for use in the interpolation calculation. When `scale_factor` is passed as a parameter, it is used to compute the `output_size`. If `recompute_scale_factor` is ```False`` or not specified, the passed-in `scale_factor` will be used in the interpolation computation. Otherwise, a new `scale_factor` will be computed based on the output and input sizes for use in the interpolation computation (i.e. the computation will be identical to if the computed `output_size` were passed-in explicitly). Note that when `scale_factor` is floating-point, the recomputed scale_factor may differ from the one passed in due to rounding and precision issues. .. note:: With ``mode='bicubic'``, it's possible to cause overshoot, in other words it can produce negative values or values greater than 255 for images. Explicitly call ``result.clamp(min=0, max=255)`` if you want to reduce the overshoot when displaying the image. .. warning:: With ``align_corners = True``, the linearly interpolating modes (`linear`, `bilinear`, and `trilinear`) don't proportionally align the output and input pixels, and thus the output values can depend on the input size. This was the default behavior for these modes up to version 0.3.1. Since then, the default behavior is ``align_corners = False``. See :class:`~th.nn.Upsample` for concrete examples on how this affects the outputs. .. warning:: When scale_factor is specified, if recompute_scale_factor=True, scale_factor is used to compute the output_size which will then be used to infer new scales for the interpolation. The default behavior for recompute_scale_factor changed to False in 1.6.0, and scale_factor is used in the interpolation calculation. Note: When using the CUDA backend, this operation may induce nondeterministic behaviour in its backward pass that is not easily switched off. Please see the notes on :doc:`/notes/randomness` for background. """ return thf.interpolate(input, size, scale_factor, mode, align_corners, recompute_scale_factor) def interpolatec(input, size=None, scale_factor=None, mode='nearest', align_corners=None, recompute_scale_factor=None): r"""Down/up samples the input to either the given :attr:`size` or the given :attr:`scale_factor` The algorithm used for complex valued interpolation is determined by :attr:`mode`. Currently temporal, spatial and volumetric sampling are supported, i.e. expected inputs are 3-D, 4-D or 5-D in shape. The input dimensions are interpreted in the form: `mini-batch x [optional channels] x [optional height] x width x 2`. The modes available for resizing are: `nearest`, `linear` (3D-only), `bilinear`, `bicubic` (4D-only), `trilinear` (5D-only), `area` Args: input (Tensor): the input tensor size (int or Tuple[int] or Tuple[int, int] or Tuple[int, int, int]): output spatial size. scale_factor (float or Tuple[float]): multiplier for spatial size. Has to match input size if it is a tuple. mode (str): algorithm used for upsampling: ``'nearest'`` | ``'linear'`` | ``'bilinear'`` | ``'bicubic'`` | ``'trilinear'`` | ``'area'``. Default: ``'nearest'`` align_corners (bool, optional): Geometrically, we consider the pixels of the input and output as squares rather than points. If set to ``True``, the input and output tensors are aligned by the center points of their corner pixels, preserving the values at the corner pixels. If set to ``False``, the input and output tensors are aligned by the corner points of their corner pixels, and the interpolation uses edge value padding for out-of-boundary values, making this operation *independent* of input size when :attr:`scale_factor` is kept the same. This only has an effect when :attr:`mode` is ``'linear'``, ``'bilinear'``, ``'bicubic'`` or ``'trilinear'``. Default: ``False`` recompute_scale_factor (bool, optional): recompute the scale_factor for use in the interpolation calculation. When `scale_factor` is passed as a parameter, it is used to compute the `output_size`. If `recompute_scale_factor` is ```False`` or not specified, the passed-in `scale_factor` will be used in the interpolation computation. Otherwise, a new `scale_factor` will be computed based on the output and input sizes for use in the interpolation computation (i.e. the computation will be identical to if the computed `output_size` were passed-in explicitly). Note that when `scale_factor` is floating-point, the recomputed scale_factor may differ from the one passed in due to rounding and precision issues. .. note:: With ``mode='bicubic'``, it's possible to cause overshoot, in other words it can produce negative values or values greater than 255 for images. Explicitly call ``result.clamp(min=0, max=255)`` if you want to reduce the overshoot when displaying the image. .. warning:: With ``align_corners = True``, the linearly interpolating modes (`linear`, `bilinear`, and `trilinear`) don't proportionally align the output and input pixels, and thus the output values can depend on the input size. This was the default behavior for these modes up to version 0.3.1. Since then, the default behavior is ``align_corners = False``. See :class:`~th.nn.Upsample` for concrete examples on how this affects the outputs. .. warning:: When scale_factor is specified, if recompute_scale_factor=True, scale_factor is used to compute the output_size which will then be used to infer new scales for the interpolation. The default behavior for recompute_scale_factor changed to False in 1.6.0, and scale_factor is used in the interpolation calculation. Note: When using the CUDA backend, this operation may induce nondeterministic behaviour in its backward pass that is not easily switched off. Please see the notes on :doc:`/notes/randomness` for background. """ dim0 = list(range(input.dim())) dim = dim0.copy() dim.insert(1, dim[-1]) dim.pop() input = input.permute(dim) dim0[1:-1] = dim0[2:-1] dim0.append(1) return thf.interpolate(input, size, scale_factor, mode, align_corners, recompute_scale_factor).permute(dim0) if __name__ == "__main__": pass

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605ceefb96d2b8887d7270185f8551e4c45e2c6a

17,460

py

Python

OmniDB/OmniDB_app/tests.old/test_views.py

lejmr/OmniDB

52c1c5a726a322f537a8e65f71d77ce322344d35

[ "MIT" ]

2,982

2016-04-12T13:33:50.000Z

2022-03-31T14:16:43.000Z

OmniDB/OmniDB_app/tests.old/test_views.py

lejmr/OmniDB

52c1c5a726a322f537a8e65f71d77ce322344d35

[ "MIT" ]

704

2016-04-30T14:44:11.000Z

2022-03-18T09:39:41.000Z

OmniDB/OmniDB_app/tests.old/test_views.py

lejmr/OmniDB

52c1c5a726a322f537a8e65f71d77ce322344d35

[ "MIT" ]

452

2016-04-25T23:50:25.000Z

2022-03-28T15:03:52.000Z

from django.test import TestCase from django.urls import reverse from collections import OrderedDict from OmniDB import settings import OmniDB_app.include.OmniDatabase.SQLite import OmniDB_app.include.Spartacus.Utils from .utils_testing import ( build_client_ajax_request, execute_client_login, get_client_ajax_response_content, get_client_omnidb_session, get_omnidb_database_connection, get_session_alert_message, USERS ) class ConnectionsNoSession(TestCase): """Test views from connections.py file with no user session. """ pass class ConnectionsSession(TestCase): """Test views from connections.py file with user session. """ pass class LoginNoSession(TestCase): """Test views from login.py file with no user session. """ def setUp(self): """Used to setup common properties between tests in this class. """ self.user = { 'user': USERS['ADMIN']['USER'], 'password': USERS['ADMIN']['PASSWORD'] } self.assertIsNone(get_client_omnidb_session(p_client=self.client)) def test_get_index_user_pwd(self): """Test if is redirected to workspace when providing valid user and password parameters. """ v_response = self.client.get( reverse('login'), { 'user': self.user['user'], 'pwd': self.user['password'] }, follow=True ) self.assertEquals(v_response.status_code, 200) self.assertIn('OmniDB_app/workspace.html', [v_template.name for v_template in v_response.templates]) self.assertEquals(len(v_response.redirect_chain), 1) self.assertEquals(v_response.redirect_chain[0][0], reverse('workspace')) self.assertEquals(v_response.redirect_chain[0][1], 302) self.assertIn('omnidb_short_version', v_response.context) self.assertEquals(v_response.context['omnidb_short_version'], settings.OMNIDB_SHORT_VERSION) def test_get_index_no_user_pwd(self): """Test if is redirected to workspace when providing invalid user and valid password parameters. """ v_response = self.client.get( reverse('login'), { 'user': '{p_user}kkk'.format(p_user=self.user['user']), 'pwd': self.user['password'] }, follow=True ) self.assertEquals(v_response.status_code, 200) self.assertEquals(len(v_response.redirect_chain), 0) self.assertEquals(v_response.content, b'INVALID APP TOKEN') def test_get_index_user_no_pwd(self): """Test if is redirected to workspace when providing valid user and invalid password parameters. """ v_response = self.client.get( reverse('login'), { 'user': self.user['user'], 'pwd': '{p_password}kkk'.format(p_password=self.user['password']) }, follow=True ) self.assertEquals(v_response.status_code, 200) self.assertEquals(len(v_response.redirect_chain), 0) self.assertEquals(v_response.content, b'INVALID APP TOKEN') def test_get_logout(self): """Test if receives expected message while trying to logout. """ v_response = self.client.get( reverse('logout'), follow=True ) self.assertEquals(v_response.status_code, 200) self.assertIn('OmniDB_app/login.html', [v_template.name for v_template in v_response.templates]) self.assertEquals(len(v_response.redirect_chain), 1) self.assertEquals(v_response.redirect_chain[0][0], reverse('login')) self.assertEquals(v_response.redirect_chain[0][1], 302) self.assertEquals(get_session_alert_message(p_client=self.client), 'Session object was already destroyed.') def test_sign_in_no_user_password(self): """Test if sign in fails with invalid user and valid password. """ v_response = self.client.post( reverse('sign_in'), build_client_ajax_request( p_data={ 'p_username': '{p_user}kkk'.format(p_user=self.user['user']), 'p_pwd': self.user['password'] } ) ) self.assertEquals(v_response.status_code, 200) v_content = get_client_ajax_response_content(p_response=v_response) self.assertEquals(v_content['v_data'], -1) self.assertFalse(v_content['v_error']) self.assertIsNone(get_client_omnidb_session(p_client=self.client)) def test_sign_in_no_user_password(self): """Test if sign in fails with valid user and invalid password. """ v_response = self.client.post( reverse('sign_in'), build_client_ajax_request( p_data={ 'p_username': self.user['user'], 'p_pwd': '{p_password}kkk'.format(p_password=self.user['password']) } ) ) self.assertEquals(v_response.status_code, 200) v_content = get_client_ajax_response_content(p_response=v_response) self.assertEquals(v_content['v_data'], -1) self.assertFalse(v_content['v_error']) self.assertIsNone(get_client_omnidb_session(p_client=self.client)) def test_sign_in_user_password(self): """Test if sign in succeeds with valid user and valid password. """ v_response = self.client.post( reverse('sign_in'), build_client_ajax_request( p_data={ 'p_username': self.user['user'], 'p_pwd': self.user['password'] } ) ) self.assertEquals(v_response.status_code, 200) v_content = get_client_ajax_response_content(p_response=v_response) self.assertTrue(v_content['v_data'] >= 0) self.assertFalse(v_content['v_error']) v_omnidb_session = get_client_omnidb_session(p_client=self.client) self.assertIsNotNone(v_omnidb_session) v_omnidb_database = get_omnidb_database_connection() v_user_table = v_omnidb_database.v_connection.Query( p_sql=''' SELECT u.user_id, u.password, t.theme_id, t.theme_name, t.theme_type, u.editor_font_size, (CASE WHEN u.chat_enabled IS NULL THEN 1 ELSE u.chat_enabled END ) AS chat_enabled, (CASE WHEN u.super_user IS NULL THEN 0 ELSE u.super_user END ) AS super_user, u.csv_encoding, u.csv_delimiter, u.interface_font_size FROM users u, themes t WHERE u.theme_id = t.theme_id AND u.user_name = '{p_user}' '''.format( p_user=self.user['user'] ) ) self.assertEquals(len(v_user_table.Rows), 1) v_user_row = v_user_table.Rows[0] self.assertEquals(v_omnidb_session.v_user_id, v_user_row['user_id']) self.assertEquals(v_omnidb_session.v_user_name, self.user['user']) self.assertIsInstance(v_omnidb_session.v_omnidb_database, OmniDB_app.include.OmniDatabase.SQLite) self.assertEquals(v_omnidb_session.v_editor_theme, v_user_row['theme_name']) self.assertEquals(v_omnidb_session.v_theme_type, v_user_row['theme_type']) self.assertEquals(v_omnidb_session.v_theme_id, v_user_row['theme_id']) self.assertEquals(v_omnidb_session.v_editor_font_size, v_user_row['editor_font_size']) self.assertEquals(v_omnidb_session.v_interface_font_size, v_user_row['interface_font_size']) self.assertEquals(v_omnidb_session.v_enable_omnichat, int(v_user_row['chat_enabled'])) self.assertEquals(v_omnidb_session.v_super_user, int(v_user_row['super_user'])) self.assertIsInstance(v_omnidb_session.v_cryptor, OmniDB_app.include.Spartacus.Utils.Cryptor) self.assertIsInstance(v_omnidb_session.v_database_index, int) self.assertTrue(isinstance(v_omnidb_session.v_databases, OrderedDict) or isinstance(v_omnidb_session.v_databases, dict)) self.assertEquals(v_omnidb_session.v_user_key, self.client.session.session_key) self.assertEquals(v_omnidb_session.v_csv_encoding, v_user_row['csv_encoding']) self.assertEquals(v_omnidb_session.v_csv_delimiter, v_user_row['csv_delimiter']) self.assertIsInstance(v_omnidb_session.v_tab_connections, dict) class LoginSession(TestCase): """Test views from login.py file with user session. """ def setUp(self): """Used to setup common properties between tests in this class. """ self.user = { 'user': USERS['ADMIN']['USER'], 'password': USERS['ADMIN']['PASSWORD'] } self.assertIsNone(get_client_omnidb_session(p_client=self.client)) v_successfull, v_response = execute_client_login(p_client=self.client, p_username=self.user['user'], p_password=self.user['password']) self.assertTrue(v_successfull) self.assertIsNotNone(get_client_omnidb_session(p_client=self.client)) def test_get_index_user_pwd(self): """Test if is redirected to workspace when providing valid user and password parameters. """ v_response = self.client.get( reverse('login'), { 'user': self.user['user'], 'pwd': self.user['password'] }, follow=True ) self.assertEquals(v_response.status_code, 200) self.assertIn('OmniDB_app/workspace.html', [v_template.name for v_template in v_response.templates]) self.assertEquals(len(v_response.redirect_chain), 1) self.assertEquals(v_response.redirect_chain[0][0], reverse('workspace')) self.assertEquals(v_response.redirect_chain[0][1], 302) self.assertIn('omnidb_short_version', v_response.context) self.assertEquals(v_response.context['omnidb_short_version'], settings.OMNIDB_SHORT_VERSION) def test_get_index_no_user_pwd(self): """Test if is redirected to workspace when providing invalid user and valid password parameters. """ v_response = self.client.get( reverse('login'), { 'user': '{p_user}kkk'.format(p_user=self.user['user']), 'pwd': self.user['password'] }, follow=True ) self.assertEquals(v_response.status_code, 200) self.assertEquals(len(v_response.redirect_chain), 0) self.assertEquals(v_response.content, b'INVALID APP TOKEN') def test_get_index_user_no_pwd(self): """Test if is redirected to workspace when providing valid user and invalid password parameters. """ v_response = self.client.get( reverse('login'), { 'user': self.user['user'], 'pwd': '{p_password}kkk'.format(p_password=self.user['password']) }, follow=True ) self.assertEquals(v_response.status_code, 200) self.assertEquals(len(v_response.redirect_chain), 0) self.assertEquals(v_response.content, b'INVALID APP TOKEN') def test_get_logout(self): """Test if receives expected response while trying to logout. """ v_response = self.client.get( reverse('logout'), follow=True ) self.assertEquals(v_response.status_code, 200) self.assertIn('OmniDB_app/login.html', [v_template.name for v_template in v_response.templates]) self.assertEquals(len(v_response.redirect_chain), 1) self.assertEquals(v_response.redirect_chain[0][0], reverse('login')) self.assertEquals(v_response.redirect_chain[0][1], 302) self.assertIsNone(get_session_alert_message(p_client=self.client)) self.assertIsNone(self.client.session['omnidb_user_key']) self.assertIsNone(get_client_omnidb_session(p_client=self.client)) def test_sign_in_no_user_password(self): """Test if sign in fails with invalid user and valid password. """ v_response = self.client.post( reverse('sign_in'), build_client_ajax_request( p_data={ 'p_username': '{p_user}kkk'.format(p_user=self.user['user']), 'p_pwd': self.user['password'] } ) ) self.assertEquals(v_response.status_code, 200) v_content = get_client_ajax_response_content(p_response=v_response) self.assertEquals(v_content['v_data'], -1) self.assertFalse(v_content['v_error']) self.assertIsNone(get_client_omnidb_session(p_client=self.client)) def test_sign_in_no_user_password(self): """Test if sign in fails with valid user and invalid password. """ v_response = self.client.post( reverse('sign_in'), build_client_ajax_request( p_data={ 'p_username': self.user['user'], 'p_pwd': '{p_password}kkk'.format(p_password=self.user['password']) } ) ) self.assertEquals(v_response.status_code, 200) v_content = get_client_ajax_response_content(p_response=v_response) self.assertEquals(v_content['v_data'], -1) self.assertFalse(v_content['v_error']) def test_sign_in_user_password(self): """Test if sign in succeeds with valid user and valid password. """ v_response = self.client.post( reverse('sign_in'), build_client_ajax_request( p_data={ 'p_username': self.user['user'], 'p_pwd': self.user['password'] } ) ) self.assertEquals(v_response.status_code, 200) v_content = get_client_ajax_response_content(p_response=v_response) self.assertTrue(v_content['v_data'] >= 0) self.assertFalse(v_content['v_error']) v_omnidb_session = get_client_omnidb_session(p_client=self.client) self.assertIsNotNone(v_omnidb_session) v_omnidb_database = get_omnidb_database_connection() v_user_table = v_omnidb_database.v_connection.Query( p_sql=''' SELECT u.user_id, u.password, t.theme_id, t.theme_name, t.theme_type, u.editor_font_size, (CASE WHEN u.chat_enabled IS NULL THEN 1 ELSE u.chat_enabled END ) AS chat_enabled, (CASE WHEN u.super_user IS NULL THEN 0 ELSE u.super_user END ) AS super_user, u.csv_encoding, u.csv_delimiter, u.interface_font_size FROM users u, themes t WHERE u.theme_id = t.theme_id AND u.user_name = '{p_user}' '''.format( p_user=self.user['user'] ) ) self.assertEquals(len(v_user_table.Rows), 1) v_user_row = v_user_table.Rows[0] self.assertEquals(v_omnidb_session.v_user_id, v_user_row['user_id']) self.assertEquals(v_omnidb_session.v_user_name, self.user['user']) self.assertIsInstance(v_omnidb_session.v_omnidb_database, OmniDB_app.include.OmniDatabase.SQLite) self.assertEquals(v_omnidb_session.v_editor_theme, v_user_row['theme_name']) self.assertEquals(v_omnidb_session.v_theme_type, v_user_row['theme_type']) self.assertEquals(v_omnidb_session.v_theme_id, v_user_row['theme_id']) self.assertEquals(v_omnidb_session.v_editor_font_size, v_user_row['editor_font_size']) self.assertEquals(v_omnidb_session.v_interface_font_size, v_user_row['interface_font_size']) self.assertEquals(v_omnidb_session.v_enable_omnichat, int(v_user_row['chat_enabled'])) self.assertEquals(v_omnidb_session.v_super_user, int(v_user_row['super_user'])) self.assertIsInstance(v_omnidb_session.v_cryptor, OmniDB_app.include.Spartacus.Utils.Cryptor) self.assertIsInstance(v_omnidb_session.v_database_index, int) self.assertTrue(isinstance(v_omnidb_session.v_databases, OrderedDict) or isinstance(v_omnidb_session.v_databases, dict)) self.assertEquals(v_omnidb_session.v_user_key, self.client.session.session_key) self.assertEquals(v_omnidb_session.v_csv_encoding, v_user_row['csv_encoding']) self.assertEquals(v_omnidb_session.v_csv_delimiter, v_user_row['csv_delimiter']) self.assertIsInstance(v_omnidb_session.v_tab_connections, dict)

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0

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0

null

0

1

0

8

60709397d86485b70c41b427d5072698ac8b53f0

1,784

py

Python

tests/test_provider_joyent_triton.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

507

2017-07-26T02:58:38.000Z

2022-01-21T12:35:13.000Z

tests/test_provider_joyent_triton.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

135

2017-07-20T12:01:59.000Z

2021-10-04T22:25:40.000Z

tests/test_provider_joyent_triton.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

81

2018-02-20T17:55:28.000Z

2022-01-31T07:08:40.000Z

# tests/test_provider_joyent_triton.py # Automatically generated by tools/makecode.py (24-Sep-2021 15:29:19 UTC) def test_provider_import(): import terrascript.provider.joyent.triton def test_resource_import(): from terrascript.resource.joyent.triton import triton_fabric from terrascript.resource.joyent.triton import triton_firewall_rule from terrascript.resource.joyent.triton import triton_instance_template from terrascript.resource.joyent.triton import triton_key from terrascript.resource.joyent.triton import triton_machine from terrascript.resource.joyent.triton import triton_service_group from terrascript.resource.joyent.triton import triton_snapshot from terrascript.resource.joyent.triton import triton_vlan from terrascript.resource.joyent.triton import triton_volume def test_datasource_import(): from terrascript.data.joyent.triton import triton_account from terrascript.data.joyent.triton import triton_datacenter from terrascript.data.joyent.triton import triton_fabric_network from terrascript.data.joyent.triton import triton_fabric_vlan from terrascript.data.joyent.triton import triton_image from terrascript.data.joyent.triton import triton_network from terrascript.data.joyent.triton import triton_package from terrascript.data.joyent.triton import triton_volume # TODO: Shortcut imports without namespace for official and supported providers. # TODO: This has to be moved into a required_providers block. # def test_version_source(): # # import terrascript.provider.joyent.triton # # t = terrascript.provider.joyent.triton.triton() # s = str(t) # # assert 'https://github.com/joyent/terraform-provider-triton' in s # assert '0.8.2' in s

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1

0

1

0

1

0

1

0

7

608aa8904f51a631852ae12d95f8ea063171c097

19,928

py

Python

auto_editor/resolve.py

Saya47/auto-editor

fdc55e4442d0c5eea11e30975fe0579d79f7f362

[ "MIT" ]

2

2022-01-08T06:38:23.000Z

2022-03-10T22:05:42.000Z

auto_editor/resolve.py

Saya47/auto-editor

fdc55e4442d0c5eea11e30975fe0579d79f7f362

[ "MIT" ]

null

auto_editor/resolve.py

Saya47/auto-editor

fdc55e4442d0c5eea11e30975fe0579d79f7f362

[ "MIT" ]

2

2021-06-26T10:59:49.000Z

2022-01-17T02:44:22.000Z

'''resolve.py''' """ Export an XML file that can be imported by DaVinci Resolve. """ # Included functions from usefulFunctions import conwrite, isAudioFile # Internal libraries import os def exportToResolve(myInput, output, clips, duration, sampleRate, log): pathurl = 'file://localhost' + os.path.abspath(myInput) name = os.path.basename(myInput) audioFile = isAudioFile(myInput) ntsc = 'FALSE' ana = 'FALSE' # anamorphic depth = '16' if(not audioFile): try: import cv2 conwrite('Grabbing video dimensions.') cap = cv2.VideoCapture(myInput) width = str(int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))) height = str(int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))) cap.release() cv2.destroyAllWindows() except ImportError: width = '1920' height = '1080' else: width = '1920' height = '1080' pixelar = 'square' # pixel aspect ratio colordepth = '24' sr = sampleRate if(audioFile): with open(output, 'w', encoding='utf-8') as outfile: outfile.write('<?xml version="1.0" encoding="UTF-8"?>\n<!DOCTYPE xmeml>\n') outfile.write('<xmeml version="5">\n') outfile.write('\t<sequence>\n') outfile.write('\t\t<name>Auto-Editor Audio Group</name>\n') outfile.write(f'\t\t<duration>{duration}</duration>\n') outfile.write('\t\t<rate>\n') outfile.write('\t\t\t<timebase>30</timebase>\n') outfile.write(f'\t\t\t<ntsc>{ntsc}</ntsc>\n') outfile.write('\t\t</rate>\n') outfile.write('\t\t<in>-1</in>\n') outfile.write('\t\t<out>-1</out>\n') outfile.write('\t\t<media>\n') outfile.write('\t\t\t<video>\n') outfile.write('\t\t\t\t<format>\n') outfile.write('\t\t\t\t\t<samplecharacteristics>\n') outfile.write(f'\t\t\t\t\t\t<width>{width}</width>\n') outfile.write(f'\t\t\t\t\t\t<height>{height}</height>\n') outfile.write(f'\t\t\t\t\t\t<pixelaspectratio>{pixelar}</pixelaspectratio>\n') outfile.write('\t\t\t\t\t\t<rate>\n') outfile.write('\t\t\t\t\t\t\t<timebase>30</timebase>\n') outfile.write(f'\t\t\t\t\t\t\t<ntsc>{ntsc}</ntsc>\n') outfile.write('\t\t\t\t\t\t</rate>\n') outfile.write('\t\t\t\t\t</samplecharacteristics>\n') outfile.write('\t\t\t\t</format>\n') outfile.write('\t\t\t</video>\n') outfile.write('\t\t\t<audio>\n') outfile.write('\t\t\t\t<track>\n') total = 0 for j, clip in enumerate(clips): myStart = int(total) total += (clip[1] - clip[0]) / (clip[2] / 100) myEnd = int(total) outfile.write(f'\t\t\t\t\t<clipitem id="clipitem-{j+1}">\n') outfile.write('\t\t\t\t\t\t<masterclipid>masterclip-1</masterclipid>\n') outfile.write(f'\t\t\t\t\t\t<name>{name}</name>\n') outfile.write(f'\t\t\t\t\t\t<start>{myStart}</start>\n') outfile.write(f'\t\t\t\t\t\t<end>{myEnd}</end>\n') outfile.write(f'\t\t\t\t\t\t<in>{int(clip[0] / (clip[2] / 100))}</in>\n') outfile.write(f'\t\t\t\t\t\t<out>{int(clip[1] / (clip[2] / 100))}</out>\n') if(j == 0): outfile.write('\t\t\t\t\t\t<file id="file-1">\n') outfile.write(f'\t\t\t\t\t\t\t<name>{name}</name>\n') outfile.write(f'\t\t\t\t\t\t\t<pathurl>{pathurl}</pathurl>\n') outfile.write('\t\t\t\t\t\t\t<rate>\n') outfile.write('\t\t\t\t\t\t\t\t<timebase>30</timebase>\n') outfile.write(f'\t\t\t\t\t\t\t\t<ntsc>{ntsc}</ntsc>\n') outfile.write('\t\t\t\t\t\t\t</rate>\n') outfile.write('\t\t\t\t\t\t\t<media>\n') outfile.write('\t\t\t\t\t\t\t\t<audio>\n') outfile.write('\t\t\t\t\t\t\t\t\t<channelcount>1</channelcount>\n') outfile.write('\t\t\t\t\t\t\t\t</audio>\n') outfile.write('\t\t\t\t\t\t\t</media>\n') outfile.write('\t\t\t\t\t\t</file>\n') else: outfile.write(f'\t\t\t\t\t\t<file id="file-1"/>\n') outfile.write('\t\t\t\t\t\t<sourcetrack>\n') outfile.write('\t\t\t\t\t\t\t<mediatype>audio</mediatype>\n') outfile.write('\t\t\t\t\t\t\t<trackindex>1</trackindex>\n') outfile.write('\t\t\t\t\t\t</sourcetrack>\n') outfile.write('\t\t\t\t\t</clipitem>\n') outfile.write('\t\t\t\t</track>\n') outfile.write('\t\t\t</audio>\n') outfile.write('\t\t</media>\n') outfile.write('\t</sequence>\n') outfile.write('</xmeml>') # Exit out of this function prematurely. return None # End of audio file code. with open(output, 'w', encoding='utf-8') as outfile: outfile.write('<?xml version="1.0" encoding="UTF-8"?>\n<!DOCTYPE xmeml>\n') outfile.write('<xmeml version="4">\n') outfile.write('\t<sequence id="sequence-1" TL.SQAudioVisibleBase="0" TL.SQVideoVisibleBase="0" TL.SQVisibleBaseTime="0" TL.SQAVDividerPosition="0.5" TL.SQHideShyTracks="0" TL.SQHeaderWidth="236" TL.SQTimePerPixel="0.013085939262623341" MZ.EditLine="0" MZ.Sequence.PreviewFrameSizeHeight="720" MZ.Sequence.AudioTimeDisplayFormat="200" MZ.Sequence.PreviewRenderingClassID="1297106761" MZ.Sequence.PreviewRenderingPresetCodec="1297107278" MZ.Sequence.PreviewRenderingPresetPath="EncoderPresets/SequencePreview/795454d9-d3c2-429d-9474-923ab13b7018/I-Frame Only MPEG.epr" MZ.Sequence.PreviewUseMaxRenderQuality="false" MZ.Sequence.PreviewUseMaxBitDepth="false" MZ.Sequence.EditingModeGUID="795454d9-d3c2-429d-9474-923ab13b7018" MZ.Sequence.VideoTimeDisplayFormat="104" MZ.WorkOutPoint="10770278400000" MZ.WorkInPoint="0" explodedTracks="true">\n') outfile.write('\t\t<rate>\n') outfile.write('\t\t\t<timebase>30</timebase>\n') outfile.write(f'\t\t\t<ntsc>{ntsc}</ntsc>\n') outfile.write('\t\t</rate>\n') outfile.write('\t\t<name>Auto-Editor Video Group</name>\n') outfile.write('\t\t<media>\n') outfile.write('\t\t\t<video>\n') outfile.write('\t\t\t\t<format>\n') outfile.write('\t\t\t\t\t<samplecharacteristics>\n') outfile.write('\t\t\t\t\t\t<rate>\n') outfile.write('\t\t\t\t\t\t\t<timebase>30</timebase>\n') outfile.write(f'\t\t\t\t\t\t\t<ntsc>{ntsc}</ntsc>\n') outfile.write('\t\t\t\t\t\t</rate>\n') outfile.write(f'\t\t\t\t\t\t<width>{width}</width>\n') outfile.write(f'\t\t\t\t\t\t<height>{height}</height>\n') outfile.write(f'\t\t\t\t\t\t<anamorphic>{ana}</anamorphic>\n') outfile.write(f'\t\t\t\t\t\t<pixelaspectratio>{pixelar}</pixelaspectratio>\n') outfile.write('\t\t\t\t\t\t<fielddominance>none</fielddominance>\n') outfile.write(f'\t\t\t\t\t\t<colordepth>{colordepth}</colordepth>\n') outfile.write('\t\t\t\t\t</samplecharacteristics>\n') outfile.write('\t\t\t\t</format>\n') outfile.write('\t\t\t\t<track>\n') # Handle clips. total = 0 for j, clip in enumerate(clips): myStart = int(total) total += (clip[1] - clip[0]) / (clip[2] / 100) myEnd = int(total) outfile.write(f'\t\t\t\t\t<clipitem id="clipitem-{j+7}">\n') outfile.write('\t\t\t\t\t\t<masterclipid>masterclip-2</masterclipid>\n') outfile.write(f'\t\t\t\t\t\t<name>{name}</name>\n') outfile.write(f'\t\t\t\t\t\t<start>{myStart}</start>\n') outfile.write(f'\t\t\t\t\t\t<end>{myEnd}</end>\n') outfile.write(f'\t\t\t\t\t\t<in>{int(clip[0] / (clip[2] / 100))}</in>\n') outfile.write(f'\t\t\t\t\t\t<out>{int(clip[1] / (clip[2] / 100))}</out>\n') if(j == 0): outfile.write('\t\t\t\t\t\t<file id="file-2">\n') outfile.write(f'\t\t\t\t\t\t\t<name>{name}</name>\n') outfile.write(f'\t\t\t\t\t\t\t<pathurl>{pathurl}</pathurl>\n') outfile.write('\t\t\t\t\t\t\t<rate>\n') outfile.write('\t\t\t\t\t\t\t\t<timebase>30</timebase>\n') outfile.write(f'\t\t\t\t\t\t\t\t<ntsc>{ntsc}</ntsc>\n') outfile.write('\t\t\t\t\t\t\t</rate>\n') outfile.write(f'\t\t\t\t\t\t\t<duration>{duration}</duration>\n') outfile.write('\t\t\t\t\t\t\t<media>\n') outfile.write('\t\t\t\t\t\t\t\t<video>\n') outfile.write('\t\t\t\t\t\t\t\t\t<samplecharacteristics>\n') outfile.write('\t\t\t\t\t\t\t\t\t\t<rate>\n') outfile.write('\t\t\t\t\t\t\t\t\t\t\t<timebase>30</timebase>\n') outfile.write(f'\t\t\t\t\t\t\t\t\t\t\t<ntsc>{ntsc}</ntsc>\n') outfile.write('\t\t\t\t\t\t\t\t\t\t</rate>\n') outfile.write(f'\t\t\t\t\t\t\t\t\t\t<width>{width}</width>\n') outfile.write(f'\t\t\t\t\t\t\t\t\t\t<height>{height}</height>\n') outfile.write(f'\t\t\t\t\t\t\t\t\t\t<anamorphic>{ana}</anamorphic>\n') outfile.write(f'\t\t\t\t\t\t\t\t\t\t<pixelaspectratio>{pixelar}</pixelaspectratio>\n') outfile.write('\t\t\t\t\t\t\t\t\t\t<fielddominance>none</fielddominance>\n') outfile.write('\t\t\t\t\t\t\t\t\t</samplecharacteristics>\n') outfile.write('\t\t\t\t\t\t\t\t</video>\n') outfile.write('\t\t\t\t\t\t\t\t<audio>\n') outfile.write('\t\t\t\t\t\t\t\t\t<samplecharacteristics>\n') outfile.write(f'\t\t\t\t\t\t\t\t\t\t<depth>{depth}</depth>\n') outfile.write(f'\t\t\t\t\t\t\t\t\t\t<samplerate>{sr}</samplerate>\n') outfile.write('\t\t\t\t\t\t\t\t\t</samplecharacteristics>\n') outfile.write('\t\t\t\t\t\t\t\t\t<channelcount>2</channelcount>\n') outfile.write('\t\t\t\t\t\t\t\t</audio>\n') outfile.write('\t\t\t\t\t\t\t</media>\n') outfile.write('\t\t\t\t\t\t</file>\n') else: outfile.write(f'\t\t\t\t\t\t<file id="file-2"/>\n') # Add the speed effect if nessecary if(clip[2] != 100): outfile.write('\t\t\t\t\t\t<filter>\n') outfile.write('\t\t\t\t\t\t\t<effect>\n') outfile.write('\t\t\t\t\t\t\t\t<name>Time Remap</name>\n') outfile.write('\t\t\t\t\t\t\t\t<effectid>timeremap</effectid>\n') outfile.write('\t\t\t\t\t\t\t\t<effectcategory>motion</effectcategory>\n') outfile.write('\t\t\t\t\t\t\t\t<effecttype>motion</effecttype>\n') outfile.write('\t\t\t\t\t\t\t\t<mediatype>video</mediatype>\n') outfile.write('\t\t\t\t\t\t\t\t<parameter authoringApp="PremierePro">\n') outfile.write('\t\t\t\t\t\t\t\t\t<parameterid>variablespeed</parameterid>\n') outfile.write('\t\t\t\t\t\t\t\t\t<name>variablespeed</name>\n') outfile.write('\t\t\t\t\t\t\t\t\t<valuemin>0</valuemin>\n') outfile.write('\t\t\t\t\t\t\t\t\t<valuemax>1</valuemax>\n') outfile.write('\t\t\t\t\t\t\t\t\t<value>0</value>\n') outfile.write('\t\t\t\t\t\t\t\t</parameter>\n') outfile.write('\t\t\t\t\t\t\t\t<parameter authoringApp="PremierePro">\n') outfile.write('\t\t\t\t\t\t\t\t\t<parameterid>speed</parameterid>\n') outfile.write('\t\t\t\t\t\t\t\t\t<name>speed</name>\n') outfile.write('\t\t\t\t\t\t\t\t\t<valuemin>-100000</valuemin>\n') outfile.write('\t\t\t\t\t\t\t\t\t<valuemax>100000</valuemax>\n') outfile.write(f'\t\t\t\t\t\t\t\t\t<value>{clip[2]}</value>\n') outfile.write('\t\t\t\t\t\t\t\t</parameter>\n') outfile.write('\t\t\t\t\t\t\t\t<parameter authoringApp="PremierePro">\n') outfile.write('\t\t\t\t\t\t\t\t\t<parameterid>reverse</parameterid>\n') outfile.write('\t\t\t\t\t\t\t\t\t<name>reverse</name>\n') outfile.write('\t\t\t\t\t\t\t\t\t<value>FALSE</value>\n') outfile.write('\t\t\t\t\t\t\t\t</parameter>\n') outfile.write('\t\t\t\t\t\t\t\t<parameter authoringApp="PremierePro">\n') outfile.write('\t\t\t\t\t\t\t\t\t<parameterid>frameblending</parameterid>\n') outfile.write('\t\t\t\t\t\t\t\t\t<name>frameblending</name>\n') outfile.write('\t\t\t\t\t\t\t\t\t<value>FALSE</value>\n') outfile.write('\t\t\t\t\t\t\t\t</parameter>\n') outfile.write('\t\t\t\t\t\t\t</effect>\n') outfile.write('\t\t\t\t\t\t</filter>\n') # Linking for video blocks for i in range(3): outfile.write('\t\t\t\t\t\t<link>\n') outfile.write(f'\t\t\t\t\t\t\t<linkclipref>clipitem-{(i*(len(clips)+1))+7+j}</linkclipref>\n') if(i == 0): outfile.write('\t\t\t\t\t\t\t<mediatype>video</mediatype>\n') else: outfile.write('\t\t\t\t\t\t\t<mediatype>audio</mediatype>\n') if(i == 2): outfile.write('\t\t\t\t\t\t\t<trackindex>2</trackindex>\n') else: outfile.write('\t\t\t\t\t\t\t<trackindex>1</trackindex>\n') outfile.write(f'\t\t\t\t\t\t\t<clipindex>{j+1}</clipindex>\n') if(i == 1 or i == 2): outfile.write('\t\t\t\t\t\t\t<groupindex>1</groupindex>\n') outfile.write('\t\t\t\t\t\t</link>\n') outfile.write('\t\t\t\t\t</clipitem>\n') outfile.write('\t\t\t\t</track>\n') outfile.write('\t\t\t</video>\n') outfile.write('\t\t\t<audio>\n') outfile.write('\t\t\t\t<numOutputChannels>2</numOutputChannels>\n') outfile.write('\t\t\t\t<format>\n') outfile.write('\t\t\t\t\t<samplecharacteristics>\n') outfile.write(f'\t\t\t\t\t\t<depth>{depth}</depth>\n') outfile.write(f'\t\t\t\t\t\t<samplerate>{sr}</samplerate>\n') outfile.write('\t\t\t\t\t</samplecharacteristics>\n') outfile.write('\t\t\t\t</format>\n') outfile.write('\t\t\t\t<track PannerIsInverted="true" PannerStartKeyframe="-91445760000000000,0.5,0,0,0,0,0,0" PannerName="Balance" currentExplodedTrackIndex="0" totalExplodedTrackCount="2" premiereTrackType="Stereo">\n') # Audio Clips total = 0 for j, clip in enumerate(clips): outfile.write(f'\t\t\t\t\t<clipitem id="clipitem-{len(clips)+8+j}" premiereChannelType="stereo">\n') outfile.write(f'\t\t\t\t\t\t<masterclipid>masterclip-2</masterclipid>\n') outfile.write(f'\t\t\t\t\t\t<name>{name}</name>\n') myStart = int(total) total += (clip[1] - clip[0]) / (clip[2] / 100) myEnd = int(total) outfile.write(f'\t\t\t\t\t\t<start>{myStart}</start>\n') outfile.write(f'\t\t\t\t\t\t<end>{myEnd}</end>\n') outfile.write(f'\t\t\t\t\t\t<in>{int(clip[0] / (clip[2] / 100))}</in>\n') outfile.write(f'\t\t\t\t\t\t<out>{int(clip[1] / (clip[2] / 100))}</out>\n') outfile.write('\t\t\t\t\t\t<file id="file-2"/>\n') outfile.write('\t\t\t\t\t\t<sourcetrack>\n') outfile.write('\t\t\t\t\t\t\t<mediatype>audio</mediatype>\n') outfile.write('\t\t\t\t\t\t\t<trackindex>1</trackindex>\n') outfile.write('\t\t\t\t\t\t</sourcetrack>\n') # Add speed effect for audio blocks if(clip[2] != 100): outfile.write('\t\t\t\t\t\t<filter>\n') outfile.write('\t\t\t\t\t\t\t<effect>\n') outfile.write('\t\t\t\t\t\t\t\t<name>Time Remap</name>\n') outfile.write('\t\t\t\t\t\t\t\t<effectid>timeremap</effectid>\n') outfile.write('\t\t\t\t\t\t\t\t<effectcategory>motion</effectcategory>\n') outfile.write('\t\t\t\t\t\t\t\t<effecttype>motion</effecttype>\n') outfile.write('\t\t\t\t\t\t\t\t<mediatype>video</mediatype>\n') outfile.write('\t\t\t\t\t\t\t\t<parameter authoringApp="PremierePro">\n') outfile.write('\t\t\t\t\t\t\t\t\t<parameterid>variablespeed</parameterid>\n') outfile.write('\t\t\t\t\t\t\t\t\t<name>variablespeed</name>\n') outfile.write('\t\t\t\t\t\t\t\t\t<valuemin>0</valuemin>\n') outfile.write('\t\t\t\t\t\t\t\t\t<valuemax>1</valuemax>\n') outfile.write('\t\t\t\t\t\t\t\t\t<value>0</value>\n') outfile.write('\t\t\t\t\t\t\t\t</parameter>\n') outfile.write('\t\t\t\t\t\t\t\t<parameter authoringApp="PremierePro">\n') outfile.write('\t\t\t\t\t\t\t\t\t<parameterid>speed</parameterid>\n') outfile.write('\t\t\t\t\t\t\t\t\t<name>speed</name>\n') outfile.write('\t\t\t\t\t\t\t\t\t<valuemin>-100000</valuemin>\n') outfile.write('\t\t\t\t\t\t\t\t\t<valuemax>100000</valuemax>\n') outfile.write(f'\t\t\t\t\t\t\t\t\t<value>{clip[2]}</value>\n') outfile.write('\t\t\t\t\t\t\t\t</parameter>\n') outfile.write('\t\t\t\t\t\t\t\t<parameter authoringApp="PremierePro">\n') outfile.write('\t\t\t\t\t\t\t\t\t<parameterid>reverse</parameterid>\n') outfile.write('\t\t\t\t\t\t\t\t\t<name>reverse</name>\n') outfile.write('\t\t\t\t\t\t\t\t\t<value>FALSE</value>\n') outfile.write('\t\t\t\t\t\t\t\t</parameter>\n') outfile.write('\t\t\t\t\t\t\t\t<parameter authoringApp="PremierePro">\n') outfile.write('\t\t\t\t\t\t\t\t\t<parameterid>frameblending</parameterid>\n') outfile.write('\t\t\t\t\t\t\t\t\t<name>frameblending</name>\n') outfile.write('\t\t\t\t\t\t\t\t\t<value>FALSE</value>\n') outfile.write('\t\t\t\t\t\t\t\t</parameter>\n') outfile.write('\t\t\t\t\t\t\t</effect>\n') outfile.write('\t\t\t\t\t\t</filter>\n') if(audioFile): startOn = 1 else: startOn = 0 for i in range(startOn, 3): outfile.write('\t\t\t\t\t\t<link>\n') outfile.write(f'\t\t\t\t\t\t\t<linkclipref>clipitem-{(i*(len(clips)+1))+7+j}</linkclipref>\n') if(i == 0): outfile.write('\t\t\t\t\t\t\t<mediatype>video</mediatype>\n') else: outfile.write('\t\t\t\t\t\t\t<mediatype>audio</mediatype>\n') if(i == 2): outfile.write('\t\t\t\t\t\t\t<trackindex>2</trackindex>\n') else: outfile.write('\t\t\t\t\t\t\t<trackindex>1</trackindex>\n') outfile.write(f'\t\t\t\t\t\t\t<clipindex>{j+1}</clipindex>\n') if(i == 1 or i == 2): outfile.write('\t\t\t\t\t\t\t<groupindex>1</groupindex>\n') outfile.write('\t\t\t\t\t\t</link>\n') outfile.write('\t\t\t\t\t</clipitem>\n') outfile.write('\t\t\t\t\t<outputchannelindex>1</outputchannelindex>\n') outfile.write('\t\t\t\t</track>\n') outfile.write('\t\t\t</audio>\n') outfile.write('\t\t</media>\n') outfile.write('\t</sequence>\n') outfile.write('</xmeml>') conwrite('')

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null

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12

71c79559ed23753f0f8461c1446b00ecdb507337

5,988

py

Python

flask_appbuilder/fieldwidgets.py

mjkonarski-b/Flask-AppBuilder

afc8e2c9209a928fa6a791919ceae3ce3cdc48a7

[ "BSD-3-Clause" ]

null

flask_appbuilder/fieldwidgets.py

mjkonarski-b/Flask-AppBuilder

afc8e2c9209a928fa6a791919ceae3ce3cdc48a7

[ "BSD-3-Clause" ]

null

flask_appbuilder/fieldwidgets.py

mjkonarski-b/Flask-AppBuilder

afc8e2c9209a928fa6a791919ceae3ce3cdc48a7

[ "BSD-3-Clause" ]

1

2022-01-25T14:35:14.000Z

from flask_babel import lazy_gettext as _ from markupsafe import Markup from wtforms import widgets from wtforms.widgets import html_params class DatePickerWidget(object): """ Date Time picker from Eonasdan GitHub """ data_template = ( '<div class="input-group date appbuilder_date" id="datepicker">' '<span class="input-group-addon"><i class="fa fa-calendar cursor-hand"></i>' "</span>" '<input class="form-control" data-format="yyyy-MM-dd" %(text)s />' "</div>" ) def __call__(self, field, **kwargs): kwargs.setdefault("id", field.id) kwargs.setdefault("name", field.name) if not field.data: field.data = "" template = self.data_template return Markup( template % {"text": html_params(type="text", value=field.data, **kwargs)} ) class DateTimePickerWidget(object): """ Date Time picker from Eonasdan GitHub """ data_template = ( '<div class="input-group date appbuilder_datetime" id="datetimepicker">' '<span class="input-group-addon"><i class="fa fa-calendar cursor-hand"></i>' "</span>" '<input class="form-control" data-format="yyyy-MM-dd hh:mm:ss" %(text)s />' "</div>" ) def __call__(self, field, **kwargs): kwargs.setdefault("id", field.id) kwargs.setdefault("name", field.name) if not field.data: field.data = "" template = self.data_template return Markup( template % {"text": html_params(type="text", value=field.data, **kwargs)} ) class BS3TextFieldWidget(widgets.TextInput): def __call__(self, field, **kwargs): kwargs["class"] = u"form-control" if field.label: kwargs["placeholder"] = field.label.text if "name_" in kwargs: field.name = kwargs["name_"] return super(BS3TextFieldWidget, self).__call__(field, **kwargs) class BS3TextAreaFieldWidget(widgets.TextArea): def __call__(self, field, **kwargs): kwargs["class"] = u"form-control" kwargs["rows"] = 3 if field.label: kwargs["placeholder"] = field.label.text return super(BS3TextAreaFieldWidget, self).__call__(field, **kwargs) class BS3PasswordFieldWidget(widgets.PasswordInput): def __call__(self, field, **kwargs): kwargs["class"] = u"form-control" if field.label: kwargs["placeholder"] = field.label.text return super(BS3PasswordFieldWidget, self).__call__(field, **kwargs) class Select2AJAXWidget(object): data_template = "<input %(text)s />" def __init__(self, endpoint, extra_classes=None, style=None): self.endpoint = endpoint self.extra_classes = extra_classes self.style = style or u"width:250px" def __call__(self, field, **kwargs): kwargs.setdefault("id", field.id) kwargs.setdefault("name", field.name) kwargs.setdefault("endpoint", self.endpoint) kwargs.setdefault("style", self.style) input_classes = "input-group my_select2_ajax" if self.extra_classes: input_classes = input_classes + " " + self.extra_classes kwargs.setdefault("class", input_classes) if not field.data: field.data = "" template = self.data_template return Markup( template % {"text": html_params(type="text", value=field.data, **kwargs)} ) class Select2SlaveAJAXWidget(object): data_template = '<input class="input-group my_select2_ajax_slave" %(text)s />' def __init__(self, master_id, endpoint, extra_classes=None, style=None): self.endpoint = endpoint self.master_id = master_id self.extra_classes = extra_classes self.style = style or u"width:250px" def __call__(self, field, **kwargs): kwargs.setdefault("id", field.id) kwargs.setdefault("name", field.name) kwargs.setdefault("endpoint", self.endpoint) kwargs.setdefault("master_id", self.master_id) kwargs.setdefault("style", self.style) input_classes = "input-group my_select2_ajax" if self.extra_classes: input_classes = input_classes + " " + self.extra_classes kwargs.setdefault("class", input_classes) if not field.data: field.data = "" template = self.data_template return Markup( template % {"text": html_params(type="text", value=field.data, **kwargs)} ) class Select2Widget(widgets.Select): extra_classes = None def __init__(self, extra_classes=None, style=None): self.extra_classes = extra_classes self.style = style or u"width:250px" return super(Select2Widget, self).__init__() def __call__(self, field, **kwargs): kwargs["class"] = u"my_select2 form-control" if self.extra_classes: kwargs["class"] = kwargs["class"] + " " + self.extra_classes kwargs["style"] = self.style kwargs["data-placeholder"] = _("Select Value") if "name_" in kwargs: field.name = kwargs["name_"] return super(Select2Widget, self).__call__(field, **kwargs) class Select2ManyWidget(widgets.Select): extra_classes = None def __init__(self, extra_classes=None, style=None): self.extra_classes = extra_classes self.style = style or u"width:250px" return super(Select2ManyWidget, self).__init__() def __call__(self, field, **kwargs): kwargs["class"] = u"my_select2 form-control" if self.extra_classes: kwargs["class"] = kwargs["class"] + " " + self.extra_classes kwargs["style"] = self.style kwargs["data-placeholder"] = _("Select Value") kwargs["multiple"] = u"true" if "name_" in kwargs: field.name = kwargs["name_"] return super(Select2ManyWidget, self).__call__(field, **kwargs)

33.640449

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5.303704

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0.040223

0.81648

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0.246326

5,988

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0.716418

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0.029851

0.169388

0.021259

0

1

0.097015

false

0.014925

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0

null

0

1

0

1

0

null

0

7

71ca475736e85ff85d84bf3fa1b4f15368dd50d5

328

py

Python

src/net/get_semnet.py

valeriopaolicelli/SegVPR

3f918fef8126decfa2ab189628e0cc61263873fa

[ "Apache-2.0" ]

2

2022-03-25T02:07:25.000Z

2022-03-30T17:47:59.000Z

src/net/get_semnet.py

valeriopaolicelli/SegVPR

3f918fef8126decfa2ab189628e0cc61263873fa

[ "Apache-2.0" ]

1

2022-03-25T03:45:34.000Z

2022-03-25T08:59:39.000Z

src/net/get_semnet.py

valeriopaolicelli/SegVPR

3f918fef8126decfa2ab189628e0cc61263873fa

[ "Apache-2.0" ]

null

import net.pspnet as pspnet import net.deeplab as deeplab def get_deeplab(encoder, encoder_dim, classes): return deeplab.DeepLab(encoder=encoder, encoder_dim=encoder_dim, classes=classes) def get_pspnet(encoder, encoder_dim, classes): return pspnet.PSPNet(encoder=encoder, encoder_dim=encoder_dim, classes=classes)

27.333333

85

0.801829

46

328

5.543478

0.23913

0.329412

0.266667

0.188235

0.611765

0.376471

0

0.112805

328

11

86

29.818182

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1

0.333333

false

0

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null

1

0

null

0

1

0

1

0

7

e0f53de3faea6b2ee03220069c234dadf78050f2

56,464

py

Python

simpleAICV/detection/models/fpn.py

zgcr/pytorch-ImageNet-CIFAR-COCO-voc-training

c5878df46ac874097d1a5076a81cd7d41630fb98

[ "MIT" ]

null

simpleAICV/detection/models/fpn.py

zgcr/pytorch-ImageNet-CIFAR-COCO-voc-training

c5878df46ac874097d1a5076a81cd7d41630fb98

[ "MIT" ]

null

simpleAICV/detection/models/fpn.py

zgcr/pytorch-ImageNet-CIFAR-COCO-voc-training

c5878df46ac874097d1a5076a81cd7d41630fb98

[ "MIT" ]

null

import os import sys BASE_DIR = os.path.dirname( os.path.dirname(os.path.dirname(os.path.dirname( os.path.abspath(__file__))))) sys.path.append(BASE_DIR) import math import torch import torch.nn as nn import torch.nn.functional as F from simpleAICV.classification.backbones.darknet import ConvBnActBlock from simpleAICV.classification.backbones.yolov5backbone import CSPBottleneck from simpleAICV.classification.backbones.yoloxbackbone import YOLOXCSPBottleneck class RetinaFPN(nn.Module): def __init__(self, inplanes, planes, use_p5=False): super(RetinaFPN, self).__init__() # inplanes:[C3_inplanes,C4_inplanes,C5_inplanes] self.use_p5 = use_p5 self.P3_1 = nn.Conv2d(inplanes[0], planes, kernel_size=1, stride=1, padding=0) self.P3_2 = nn.Conv2d(planes, planes, kernel_size=3, stride=1, padding=1) self.P4_1 = nn.Conv2d(inplanes[1], planes, kernel_size=1, stride=1, padding=0) self.P4_2 = nn.Conv2d(planes, planes, kernel_size=3, stride=1, padding=1) self.P5_1 = nn.Conv2d(inplanes[2], planes, kernel_size=1, stride=1, padding=0) self.P5_2 = nn.Conv2d(planes, planes, kernel_size=3, stride=1, padding=1) self.P6 = nn.Conv2d( planes, planes, kernel_size=3, stride=2, padding=1) if self.use_p5 else nn.Conv2d( inplanes[2], planes, kernel_size=3, stride=2, padding=1) self.P7 = nn.Sequential( nn.ReLU(), nn.Conv2d(planes, planes, kernel_size=3, stride=2, padding=1)) def forward(self, inputs): [C3, C4, C5] = inputs P5 = self.P5_1(C5) P4 = self.P4_1(C4) P4 = F.interpolate(P5, size=(P4.shape[2], P4.shape[3]), mode='bilinear', align_corners=True) + P4 P3 = self.P3_1(C3) P3 = F.interpolate(P4, size=(P3.shape[2], P3.shape[3]), mode='bilinear', align_corners=True) + P3 del C3, C4 P5 = self.P5_2(P5) P4 = self.P4_2(P4) P3 = self.P3_2(P3) P6 = self.P6(P5) if self.use_p5 else self.P6(C5) del C5 P7 = self.P7(P6) return [P3, P4, P5, P6, P7] class Yolov3TinyFPNHead(nn.Module): def __init__(self, inplanes, per_level_num_anchors=3, num_classes=80, act_type='leakyrelu'): super(Yolov3TinyFPNHead, self).__init__() # inplanes:[C4_inplanes,C5_inplanes] self.per_level_num_anchors = per_level_num_anchors self.conv1 = ConvBnActBlock(inplanes[1], 1024, kernel_size=3, stride=1, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) self.conv2 = ConvBnActBlock(1024, 256, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P5_conv = ConvBnActBlock(256, 512, kernel_size=3, stride=1, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P5_pred_conv = nn.Conv2d(512, per_level_num_anchors * (1 + 4 + num_classes), kernel_size=1, stride=1, padding=0, groups=1, bias=True) self.conv3 = ConvBnActBlock(256, 128, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P4_conv = ConvBnActBlock(int(128 + inplanes[0]), 256, kernel_size=3, stride=1, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P4_pred_conv = nn.Conv2d(256, per_level_num_anchors * (1 + 4 + num_classes), kernel_size=1, stride=1, padding=0, groups=1, bias=True) self.sigmoid = nn.Sigmoid() def forward(self, inputs): [C4, C5] = inputs C5 = self.conv1(C5) C5 = self.conv2(C5) P5 = self.P5_conv(C5) P5 = self.P5_pred_conv(P5) C5_upsample = F.interpolate(self.conv3(C5), size=(C4.shape[2], C4.shape[3]), mode='bilinear', align_corners=True) del C5 C4 = torch.cat([C4, C5_upsample], dim=1) P4 = self.P4_conv(C4) P4 = self.P4_pred_conv(P4) del C4 # P4 shape:[B,255,H,W]->[B,H,W,255]->[B,H,W,3,85] P4 = P4.permute(0, 2, 3, 1).contiguous() P4 = P4.view(P4.shape[0], P4.shape[1], P4.shape[2], self.per_level_num_anchors, -1) # P5 shape:[B,255,H,W]->[B,H,W,255]->[B,H,W,3,85] P5 = P5.permute(0, 2, 3, 1).contiguous() P5 = P5.view(P5.shape[0], P5.shape[1], P5.shape[2], self.per_level_num_anchors, -1) P4[:, :, :, :, 0:3] = torch.sigmoid(P4[:, :, :, :, 0:3]) P4[:, :, :, :, 5:] = torch.sigmoid(P4[..., 5:]) P5[:, :, :, :, 0:3] = torch.sigmoid(P5[:, :, :, :, 0:3]) P5[:, :, :, :, 5:] = torch.sigmoid(P5[..., 5:]) return [P4, P5] class Yolov3FPNHead(nn.Module): def __init__(self, inplanes, per_level_num_anchors=3, num_classes=80, act_type='leakyrelu'): super(Yolov3FPNHead, self).__init__() # inplanes:[C3_inplanes,C4_inplanes,C5_inplanes] self.per_level_num_anchors = per_level_num_anchors P5_1_layers = [] for i in range(5): P5_1_layers.append( ConvBnActBlock(inplanes[2], inplanes[2] // 2, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) if i % 2 == 0 else ConvBnActBlock(inplanes[2] // 2, inplanes[2], kernel_size=3, stride=1, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type)) self.P5_1 = nn.Sequential(*P5_1_layers) self.P5_2 = ConvBnActBlock(inplanes[2] // 2, inplanes[2], kernel_size=3, stride=1, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P5_pred_conv = nn.Conv2d(inplanes[2], per_level_num_anchors * (1 + 4 + num_classes), kernel_size=1, stride=1, padding=0, groups=1, bias=True) self.P5_up_conv = ConvBnActBlock(inplanes[2] // 2, inplanes[1] // 2, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) P4_1_layers = [] for i in range(5): if i % 2 == 0: P4_1_layers.append( ConvBnActBlock((inplanes[1] // 2) + inplanes[1], inplanes[1] // 2, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) if i == 0 else ConvBnActBlock(inplanes[1], inplanes[1] // 2, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type)) else: P4_1_layers.append( ConvBnActBlock(inplanes[1] // 2, inplanes[1], kernel_size=3, stride=1, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type)) self.P4_1 = nn.Sequential(*P4_1_layers) self.P4_2 = ConvBnActBlock(inplanes[1] // 2, inplanes[1], kernel_size=3, stride=1, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P4_pred_conv = nn.Conv2d(inplanes[1], per_level_num_anchors * (1 + 4 + num_classes), kernel_size=1, stride=1, padding=0, groups=1, bias=True) self.P4_up_conv = ConvBnActBlock(inplanes[1] // 2, inplanes[0] // 2, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) P3_1_layers = [] for i in range(5): if i % 2 == 0: P3_1_layers.append( ConvBnActBlock((inplanes[0] // 2) + inplanes[0], inplanes[0] // 2, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) if i == 0 else ConvBnActBlock(inplanes[0], inplanes[0] // 2, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type)) else: P3_1_layers.append( ConvBnActBlock(inplanes[0] // 2, inplanes[0], kernel_size=3, stride=1, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type)) self.P3_1 = nn.Sequential(*P3_1_layers) self.P3_2 = ConvBnActBlock(inplanes[0] // 2, inplanes[0], kernel_size=3, stride=1, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P3_pred_conv = nn.Conv2d(inplanes[0], per_level_num_anchors * (1 + 4 + num_classes), kernel_size=1, stride=1, padding=0, groups=1, bias=True) self.sigmoid = nn.Sigmoid() def forward(self, inputs): [C3, C4, C5] = inputs P5 = self.P5_1(C5) del C5 C5_upsample = F.interpolate(self.P5_up_conv(P5), size=(C4.shape[2], C4.shape[3]), mode='bilinear', align_corners=True) C4 = torch.cat([C4, C5_upsample], axis=1) del C5_upsample P4 = self.P4_1(C4) del C4 C4_upsample = F.interpolate(self.P4_up_conv(P4), size=(C3.shape[2], C3.shape[3]), mode='bilinear', align_corners=True) C3 = torch.cat([C3, C4_upsample], axis=1) del C4_upsample P3 = self.P3_1(C3) del C3 P5 = self.P5_2(P5) P5 = self.P5_pred_conv(P5) P4 = self.P4_2(P4) P4 = self.P4_pred_conv(P4) P3 = self.P3_2(P3) P3 = self.P3_pred_conv(P3) # P3 shape:[B,255,H,W]->[B,H,W,255]->[B,H,W,3,85] P3 = P3.permute(0, 2, 3, 1).contiguous() P3 = P3.view(P3.shape[0], P3.shape[1], P3.shape[2], self.per_level_num_anchors, -1) # P4 shape:[B,255,H,W]->[B,H,W,255]->[B,H,W,3,85] P4 = P4.permute(0, 2, 3, 1).contiguous() P4 = P4.view(P4.shape[0], P4.shape[1], P4.shape[2], self.per_level_num_anchors, -1) # P5 shape:[B,255,H,W]->[B,H,W,255]->[B,H,W,3,85] P5 = P5.permute(0, 2, 3, 1).contiguous() P5 = P5.view(P5.shape[0], P5.shape[1], P5.shape[2], self.per_level_num_anchors, -1) P3[:, :, :, :, 0:3] = torch.sigmoid(P3[:, :, :, :, 0:3]) P3[:, :, :, :, 5:] = torch.sigmoid(P3[..., 5:]) P4[:, :, :, :, 0:3] = torch.sigmoid(P4[:, :, :, :, 0:3]) P4[:, :, :, :, 5:] = torch.sigmoid(P4[..., 5:]) P5[:, :, :, :, 0:3] = torch.sigmoid(P5[:, :, :, :, 0:3]) P5[:, :, :, :, 5:] = torch.sigmoid(P5[..., 5:]) return [P3, P4, P5] class Yolov4TinyFPNHead(nn.Module): def __init__(self, inplanes, per_level_num_anchors=3, num_classes=80, act_type='leakyrelu'): super(Yolov4TinyFPNHead, self).__init__() # inplanes:[C4_inplanes,C5_inplanes] self.per_level_num_anchors = per_level_num_anchors self.P5_1 = ConvBnActBlock(inplanes[1], inplanes[1] // 2, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P5_up_conv = ConvBnActBlock(inplanes[1] // 2, inplanes[0] // 2, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P5_2 = ConvBnActBlock(inplanes[1] // 2, inplanes[1], kernel_size=3, stride=1, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P5_pred_conv = nn.Conv2d(inplanes[1], per_level_num_anchors * (1 + 4 + num_classes), kernel_size=1, stride=1, padding=0, bias=True) self.P4_1 = ConvBnActBlock(int(inplanes[0] + inplanes[0] // 2), inplanes[0], kernel_size=3, stride=1, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P4_pred_conv = nn.Conv2d(inplanes[0], per_level_num_anchors * (1 + 4 + num_classes), kernel_size=1, stride=1, padding=0, bias=True) self.sigmoid = nn.Sigmoid() def forward(self, inputs): [C4, C5] = inputs P5 = self.P5_1(C5) del C5 P5_out = self.P5_2(P5) P5_out = self.P5_pred_conv(P5_out) P5_upsample = F.interpolate(self.P5_up_conv(P5), size=(C4.shape[2], C4.shape[3]), mode='bilinear', align_corners=True) P4 = torch.cat([C4, P5_upsample], dim=1) del C4, P5, P5_upsample P4 = self.P4_1(P4) P4_out = self.P4_pred_conv(P4) del P4 # P4_out shape:[B,255,H,W]->[B,H,W,255]->[B,H,W,3,85] P4_out = P4_out.permute(0, 2, 3, 1).contiguous() P4_out = P4_out.view(P4_out.shape[0], P4_out.shape[1], P4_out.shape[2], self.per_level_num_anchors, -1) # P5_out shape:[B,255,H,W]->[B,H,W,255]->[B,H,W,3,85] P5_out = P5_out.permute(0, 2, 3, 1).contiguous() P5_out = P5_out.view(P5_out.shape[0], P5_out.shape[1], P5_out.shape[2], self.per_level_num_anchors, -1) P4_out[:, :, :, :, 0:3] = torch.sigmoid(P4_out[:, :, :, :, 0:3]) P4_out[:, :, :, :, 5:] = torch.sigmoid(P4_out[..., 5:]) P5_out[:, :, :, :, 0:3] = torch.sigmoid(P5_out[:, :, :, :, 0:3]) P5_out[:, :, :, :, 5:] = torch.sigmoid(P5_out[..., 5:]) return P4_out, P5_out class SPP(nn.Module): ''' Spatial pyramid pooling layer used in YOLOv3-SPP ''' def __init__(self, kernels=[5, 9, 13]): super(SPP, self).__init__() self.maxpool_layers = nn.ModuleList([ nn.MaxPool2d(kernel_size=kernel, stride=1, padding=kernel // 2) for kernel in kernels ]) def forward(self, x): out = torch.cat([x] + [layer(x) for layer in self.maxpool_layers], dim=1) return out class Yolov4FPNHead(nn.Module): def __init__(self, inplanes, per_level_num_anchors=3, num_classes=80, act_type='leakyrelu'): super(Yolov4FPNHead, self).__init__() # inplanes:[C3_inplanes,C4_inplanes,C5_inplanes] self.per_level_num_anchors = per_level_num_anchors p5_block1 = nn.Sequential(*[ ConvBnActBlock(inplanes[2], inplanes[2] // 2, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) if i % 2 == 0 else ConvBnActBlock(inplanes[2] // 2, inplanes[2], kernel_size=3, stride=1, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) for i in range(3) ]) p5_spp_block = SPP(kernels=(5, 9, 13)) p5_block2 = nn.Sequential( ConvBnActBlock(inplanes[2] * 2, inplanes[2] // 2, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type), ConvBnActBlock(inplanes[2] // 2, inplanes[2], kernel_size=3, stride=1, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type), ConvBnActBlock(inplanes[2], inplanes[2] // 2, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type)) self.P5_1 = nn.Sequential(p5_block1, p5_spp_block, p5_block2) self.P5_up_conv = ConvBnActBlock(inplanes[2] // 2, inplanes[1] // 2, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P4_cat_conv = ConvBnActBlock(inplanes[1], inplanes[1] // 2, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P4_1 = nn.Sequential(*[ ConvBnActBlock(inplanes[1], inplanes[1] // 2, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) if i % 2 == 0 else ConvBnActBlock(inplanes[1] // 2, inplanes[1], kernel_size=3, stride=1, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) for i in range(5) ]) self.P4_up_conv = ConvBnActBlock(inplanes[1] // 2, inplanes[0] // 2, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P3_cat_conv = ConvBnActBlock(inplanes[0], inplanes[0] // 2, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P3_1 = nn.Sequential(*[ ConvBnActBlock(inplanes[0], inplanes[0] // 2, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) if i % 2 == 0 else ConvBnActBlock(inplanes[0] // 2, inplanes[0], kernel_size=3, stride=1, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) for i in range(5) ]) self.P3_out_conv = ConvBnActBlock(inplanes[0] // 2, inplanes[0], kernel_size=3, stride=1, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P3_down_conv = ConvBnActBlock(inplanes[0] // 2, inplanes[1] // 2, kernel_size=3, stride=2, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P4_2 = nn.Sequential(*[ ConvBnActBlock(inplanes[1], inplanes[1] // 2, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) if i % 2 == 0 else ConvBnActBlock(inplanes[1] // 2, inplanes[1], kernel_size=3, stride=1, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) for i in range(5) ]) self.P4_out_conv = ConvBnActBlock(inplanes[1] // 2, inplanes[1], kernel_size=3, stride=1, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P4_down_conv = ConvBnActBlock(inplanes[1] // 2, inplanes[2] // 2, kernel_size=3, stride=2, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P5_2 = nn.Sequential(*[ ConvBnActBlock(inplanes[2], inplanes[2] // 2, kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) if i % 2 == 0 else ConvBnActBlock(inplanes[2] // 2, inplanes[2], kernel_size=3, stride=1, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) for i in range(5) ]) self.P5_out_conv = ConvBnActBlock(inplanes[2] // 2, inplanes[2], kernel_size=3, stride=1, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P5_pred_conv = nn.Conv2d(inplanes[2], per_level_num_anchors * (1 + 4 + num_classes), kernel_size=1, stride=1, padding=0, bias=True) self.P4_pred_conv = nn.Conv2d(inplanes[1], per_level_num_anchors * (1 + 4 + num_classes), kernel_size=1, stride=1, padding=0, bias=True) self.P3_pred_conv = nn.Conv2d(inplanes[0], per_level_num_anchors * (1 + 4 + num_classes), kernel_size=1, stride=1, padding=0, bias=True) self.sigmoid = nn.Sigmoid() def forward(self, inputs): [C3, C4, C5] = inputs P5 = self.P5_1(C5) del C5 P5_upsample = F.interpolate(self.P5_up_conv(P5), size=(C4.shape[2], C4.shape[3]), mode='bilinear', align_corners=True) C4 = torch.cat([self.P4_cat_conv(C4), P5_upsample], dim=1) del P5_upsample P4 = self.P4_1(C4) del C4 P4_upsample = F.interpolate(self.P4_up_conv(P4), size=(C3.shape[2], C3.shape[3]), mode='bilinear', align_corners=True) C3 = torch.cat([self.P3_cat_conv(C3), P4_upsample], dim=1) del P4_upsample P3 = self.P3_1(C3) del C3 P3_out = self.P3_out_conv(P3) P3_out = self.P3_pred_conv(P3_out) P4 = torch.cat([P4, self.P3_down_conv(P3)], dim=1) del P3 P4 = self.P4_2(P4) P4_out = self.P4_out_conv(P4) P4_out = self.P4_pred_conv(P4_out) P5 = torch.cat([P5, self.P4_down_conv(P4)], dim=1) del P4 P5 = self.P5_2(P5) P5_out = self.P5_out_conv(P5) P5_out = self.P5_pred_conv(P5_out) del P5 # P3_out shape:[B,255,H,W]->[B,H,W,255]->[B,H,W,3,85] P3_out = P3_out.permute(0, 2, 3, 1).contiguous() P3_out = P3_out.view(P3_out.shape[0], P3_out.shape[1], P3_out.shape[2], self.per_level_num_anchors, -1) # P4_out shape:[B,255,H,W]->[B,H,W,255]->[B,H,W,3,85] P4_out = P4_out.permute(0, 2, 3, 1).contiguous() P4_out = P4_out.view(P4_out.shape[0], P4_out.shape[1], P4_out.shape[2], self.per_level_num_anchors, -1) # P5_out shape:[B,255,H,W]->[B,H,W,255]->[B,H,W,3,85] P5_out = P5_out.permute(0, 2, 3, 1).contiguous() P5_out = P5_out.view(P5_out.shape[0], P5_out.shape[1], P5_out.shape[2], self.per_level_num_anchors, -1) P3_out[:, :, :, :, 0:3] = torch.sigmoid(P3_out[:, :, :, :, 0:3]) P3_out[:, :, :, :, 5:] = torch.sigmoid(P3_out[..., 5:]) P4_out[:, :, :, :, 0:3] = torch.sigmoid(P4_out[:, :, :, :, 0:3]) P4_out[:, :, :, :, 5:] = torch.sigmoid(P4_out[..., 5:]) P5_out[:, :, :, :, 0:3] = torch.sigmoid(P5_out[:, :, :, :, 0:3]) P5_out[:, :, :, :, 5:] = torch.sigmoid(P5_out[..., 5:]) return [P3_out, P4_out, P5_out] class YOLOV5FPNHead(nn.Module): def __init__(self, inplanes, csp_nums=3, csp_shortcut=False, per_level_num_anchors=3, num_classes=80, act_type='silu'): super(YOLOV5FPNHead, self).__init__() # inplanes:[C3_inplanes,C4_inplanes,C5_inplanes] self.per_level_num_anchors = per_level_num_anchors self.P5_fpn_1 = CSPBottleneck(inplanes[2], inplanes[2], bottleneck_nums=csp_nums, reduction=0.5, shortcut=csp_shortcut, act_type=act_type) self.P5_fpn_2 = ConvBnActBlock(inplanes[2], inplanes[1], kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P4_fpn_1 = CSPBottleneck(int(inplanes[1] * 2), inplanes[1], bottleneck_nums=csp_nums, reduction=0.5, shortcut=csp_shortcut, act_type=act_type) self.P4_fpn_2 = ConvBnActBlock(inplanes[1], inplanes[0], kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P3_out = CSPBottleneck(int(inplanes[0] * 2), inplanes[0], bottleneck_nums=csp_nums, reduction=0.5, shortcut=csp_shortcut, act_type=act_type) self.P3_pred_conv = nn.Conv2d(inplanes[0], per_level_num_anchors * (1 + 4 + num_classes), kernel_size=1, stride=1, padding=0, bias=True) self.P3_pan_1 = ConvBnActBlock(inplanes[0], inplanes[0], kernel_size=3, stride=2, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P4_out = CSPBottleneck(inplanes[1], inplanes[1], bottleneck_nums=csp_nums, reduction=0.5, shortcut=csp_shortcut, act_type=act_type) self.P4_pred_conv = nn.Conv2d(inplanes[1], per_level_num_anchors * (1 + 4 + num_classes), kernel_size=1, stride=1, padding=0, bias=True) self.P4_pan_1 = ConvBnActBlock(inplanes[1], inplanes[1], kernel_size=3, stride=2, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) self.P5_out = CSPBottleneck(inplanes[2], inplanes[2], bottleneck_nums=csp_nums, reduction=0.5, shortcut=csp_shortcut, act_type=act_type) self.P5_pred_conv = nn.Conv2d(inplanes[2], per_level_num_anchors * (1 + 4 + num_classes), kernel_size=1, stride=1, padding=0, bias=True) self.sigmoid = nn.Sigmoid() # https://arxiv.org/abs/1708.02002 section 3.3 p5_bias = self.P5_pred_conv.bias.view(per_level_num_anchors, -1) # init obj pred value,per image(640 resolution) has 8 objects,stride=32 p5_bias.data[:, 0] += math.log(8 / (640 / 32)**2) # init cls pred value p5_bias.data[:, 5:] += math.log(0.6 / (num_classes - 0.99)) self.P5_pred_conv.bias = torch.nn.Parameter(p5_bias.view(-1), requires_grad=True) p4_bias = self.P4_pred_conv.bias.view(per_level_num_anchors, -1) # init obj pred value,per image(640 resolution) has 8 objects,stride=16 p4_bias.data[:, 0] += math.log(8 / (640 / 16)**2) # init cls pred value p4_bias.data[:, 5:] += math.log(0.6 / (num_classes - 0.99)) self.P4_pred_conv.bias = torch.nn.Parameter(p4_bias.view(-1), requires_grad=True) p3_bias = self.P3_pred_conv.bias.view(per_level_num_anchors, -1) # init obj pred value,per image(640 resolution) has 8 objects,stride=8 p3_bias.data[:, 0] += math.log(8 / (640 / 8)**2) # init cls pred value p3_bias.data[:, 5:] += math.log(0.6 / (num_classes - 0.99)) self.P3_pred_conv.bias = torch.nn.Parameter(p3_bias.view(-1), requires_grad=True) def forward(self, inputs): [C3, C4, C5] = inputs P5 = self.P5_fpn_1(C5) P5 = self.P5_fpn_2(P5) del C5 P5_upsample = F.interpolate(P5, size=(C4.shape[2], C4.shape[3]), mode='bilinear', align_corners=True) P4 = torch.cat([C4, P5_upsample], axis=1) del C4, P5_upsample P4 = self.P4_fpn_1(P4) P4 = self.P4_fpn_2(P4) P4_upsample = F.interpolate(P4, size=(C3.shape[2], C3.shape[3]), mode='bilinear', align_corners=True) P3 = torch.cat([C3, P4_upsample], axis=1) del C3, P4_upsample P3 = self.P3_out(P3) P3_out = self.P3_pred_conv(P3) P3 = self.P3_pan_1(P3) P4 = torch.cat([P3, P4], axis=1) del P3 P4 = self.P4_out(P4) P4_out = self.P4_pred_conv(P4) P4 = self.P4_pan_1(P4) P5 = torch.cat([P4, P5], axis=1) del P4 P5 = self.P5_out(P5) P5_out = self.P5_pred_conv(P5) del P5 # P3_out shape:[B,255,H,W]->[B,H,W,255]->[B,H,W,3,85] P3_out = P3_out.permute(0, 2, 3, 1).contiguous() P3_out = P3_out.view(P3_out.shape[0], P3_out.shape[1], P3_out.shape[2], self.per_level_num_anchors, -1).contiguous() # P4_out shape:[B,255,H,W]->[B,H,W,255]->[B,H,W,3,85] P4_out = P4_out.permute(0, 2, 3, 1).contiguous() P4_out = P4_out.view(P4_out.shape[0], P4_out.shape[1], P4_out.shape[2], self.per_level_num_anchors, -1).contiguous() # P5_out shape:[B,255,H,W]->[B,H,W,255]->[B,H,W,3,85] P5_out = P5_out.permute(0, 2, 3, 1).contiguous() P5_out = P5_out.view(P5_out.shape[0], P5_out.shape[1], P5_out.shape[2], self.per_level_num_anchors, -1).contiguous() P3_out = self.sigmoid(P3_out) P4_out = self.sigmoid(P4_out) P5_out = self.sigmoid(P5_out) return [P3_out, P4_out, P5_out] class YOLOXFPN(nn.Module): def __init__(self, inplanes, csp_nums=3, csp_shortcut=False, block=ConvBnActBlock, act_type='silu'): super(YOLOXFPN, self).__init__() # inplanes:[C3_inplanes,C4_inplanes,C5_inplanes] self.p5_reduce_conv = ConvBnActBlock(inplanes[2], inplanes[1], kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) self.p4_conv1 = YOLOXCSPBottleneck(int(inplanes[1] * 2), inplanes[1], bottleneck_nums=csp_nums, bottleneck_block_type=block, reduction=0.5, shortcut=csp_shortcut, act_type=act_type) self.p4_reduce_conv = ConvBnActBlock(inplanes[1], inplanes[0], kernel_size=1, stride=1, padding=0, groups=1, has_bn=True, has_act=True, act_type=act_type) self.p3_conv1 = YOLOXCSPBottleneck(int(inplanes[0] * 2), inplanes[0], bottleneck_nums=csp_nums, bottleneck_block_type=block, reduction=0.5, shortcut=csp_shortcut, act_type=act_type) self.p3_up_conv = ConvBnActBlock(inplanes[0], inplanes[0], kernel_size=3, stride=2, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) self.p4_conv2 = YOLOXCSPBottleneck(int(inplanes[0] * 2), inplanes[1], bottleneck_nums=csp_nums, bottleneck_block_type=block, reduction=0.5, shortcut=csp_shortcut, act_type=act_type) self.p4_up_conv = ConvBnActBlock(inplanes[1], inplanes[1], kernel_size=3, stride=2, padding=1, groups=1, has_bn=True, has_act=True, act_type=act_type) self.p5_conv1 = YOLOXCSPBottleneck(int(inplanes[1] * 2), inplanes[2], bottleneck_nums=csp_nums, bottleneck_block_type=block, reduction=0.5, shortcut=csp_shortcut, act_type=act_type) def forward(self, inputs): [C3, C4, C5] = inputs P5 = self.p5_reduce_conv(C5) del C5 P5_upsample = F.interpolate(P5, size=(C4.shape[2], C4.shape[3]), mode='bilinear', align_corners=True) P4 = torch.cat([C4, P5_upsample], axis=1) del C4, P5_upsample P4 = self.p4_conv1(P4) P4 = self.p4_reduce_conv(P4) P4_upsample = F.interpolate(P4, size=(C3.shape[2], C3.shape[3]), mode='bilinear', align_corners=True) P3 = torch.cat([C3, P4_upsample], axis=1) del C3, P4_upsample P3_out = self.p3_conv1(P3) P3_up = self.p3_up_conv(P3_out) P4 = torch.cat([P3_up, P4], axis=1) P4_out = self.p4_conv2(P4) del P4 P4_up = self.p4_up_conv(P4_out) P5 = torch.cat([P4_up, P5], axis=1) P5_out = self.p5_conv1(P5) del P5 return [P3_out, P4_out, P5_out] if __name__ == '__main__': import os import random import numpy as np import torch seed = 0 # for hash os.environ['PYTHONHASHSEED'] = str(seed) # for python and numpy random.seed(seed) np.random.seed(seed) # for cpu gpu torch.manual_seed(seed) torch.cuda.manual_seed(seed) torch.cuda.manual_seed_all(seed) net = RetinaFPN([512, 1024, 2048], 256, use_p5=False) C3, C4, C5 = torch.randn(3, 512, 80, 80), torch.randn(3, 1024, 40, 40), torch.randn( 3, 2048, 20, 20) from thop import profile from thop import clever_format macs, params = profile(net, inputs=([C3, C4, C5], ), verbose=False) macs, params = clever_format([macs, params], '%.3f') print(f'1111, macs: {macs}, params: {params}') outs = net([C3, C4, C5]) for out in outs: print('2222', out.shape) net = Yolov3TinyFPNHead([256, 512], per_level_num_anchors=3, num_classes=80, act_type='leakyrelu') C4, C5 = torch.randn(3, 256, 40, 40), torch.randn(3, 512, 20, 20) from thop import profile from thop import clever_format macs, params = profile(net, inputs=([C4, C5], ), verbose=False) macs, params = clever_format([macs, params], '%.3f') print(f'1111, macs: {macs}, params: {params}') outs = net([C4, C5]) for out in outs: print('2222', out.shape) net = Yolov3FPNHead([256, 512, 1024], per_level_num_anchors=3, num_classes=80, act_type='leakyrelu') C3, C4, C5 = torch.randn(3, 256, 80, 80), torch.randn(3, 512, 40, 40), torch.randn( 3, 1024, 20, 20) from thop import profile from thop import clever_format macs, params = profile(net, inputs=([C3, C4, C5], ), verbose=False) macs, params = clever_format([macs, params], '%.3f') print(f'1111, macs: {macs}, params: {params}') outs = net([C3, C4, C5]) for out in outs: print('2222', out.shape) net = Yolov4TinyFPNHead([256, 512], per_level_num_anchors=3, num_classes=80, act_type='leakyrelu') C4, C5 = torch.randn(3, 256, 40, 40), torch.randn(3, 512, 20, 20) from thop import profile from thop import clever_format macs, params = profile(net, inputs=([C4, C5], ), verbose=False) macs, params = clever_format([macs, params], '%.3f') print(f'1111, macs: {macs}, params: {params}') outs = net([C4, C5]) for out in outs: print('2222', out.shape) net = Yolov4FPNHead([256, 512, 1024], per_level_num_anchors=3, num_classes=80, act_type='leakyrelu') C3, C4, C5 = torch.randn(3, 256, 80, 80), torch.randn(3, 512, 40, 40), torch.randn( 3, 1024, 20, 20) from thop import profile from thop import clever_format macs, params = profile(net, inputs=([C3, C4, C5], ), verbose=False) macs, params = clever_format([macs, params], '%.3f') print(f'1111, macs: {macs}, params: {params}') outs = net([C3, C4, C5]) for out in outs: print('2222', out.shape) net = YOLOV5FPNHead([256, 512, 1024], csp_nums=3, csp_shortcut=False, per_level_num_anchors=3, num_classes=80, act_type='silu') C3, C4, C5 = torch.randn(3, 256, 80, 80), torch.randn(3, 512, 40, 40), torch.randn( 3, 1024, 20, 20) from thop import profile from thop import clever_format macs, params = profile(net, inputs=([C3, C4, C5], ), verbose=False) macs, params = clever_format([macs, params], '%.3f') print(f'1111, macs: {macs}, params: {params}') outs = net([C3, C4, C5]) for out in outs: print('2222', out.shape) net = YOLOXFPN([256, 512, 1024], csp_nums=3, csp_shortcut=False, block=ConvBnActBlock, per_level_num_anchors=3, act_type='silu') C3, C4, C5 = torch.randn(3, 256, 80, 80), torch.randn(3, 512, 40, 40), torch.randn( 3, 1024, 20, 20) from thop import profile from thop import clever_format macs, params = profile(net, inputs=([C3, C4, C5], ), verbose=False) macs, params = clever_format([macs, params], '%.3f') print(f'1111, macs: {macs}, params: {params}') outs = net([C3, C4, C5]) for out in outs: print('2222', out.shape)

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null

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8

1cbaec9b61460c67e740ceac062736fbaa998697

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py

Python

app/main/VR/example_form.py

8by8-org/usvotes

e2af8b2d8b986bf36804bae1c784bc78b54dc412

[ "MIT" ]

10

2018-08-28T13:35:27.000Z

2021-07-17T18:01:04.000Z

app/main/VR/example_form.py

8by8-org/usvotes

e2af8b2d8b986bf36804bae1c784bc78b54dc412

[ "MIT" ]

253

2018-05-14T14:51:35.000Z

2021-07-23T00:49:04.000Z

app/main/VR/example_form.py

lukecivantos/flvotes

ace6fbee9d6cfaa9e4e69e266e321d041ad65da4

[ "MIT" ]

5

2019-09-05T15:10:32.000Z

2021-09-30T23:37:04.000Z

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8

1cc65ed366c179288800d862eab3b5a039a232cb

4,640

py

Python

credolib/plotting.py

awacha/credolib

11c0be3eea7257d3d6e13697d3e76ce538f2f1b2

[ "BSD-3-Clause" ]

null

credolib/plotting.py

awacha/credolib

11c0be3eea7257d3d6e13697d3e76ce538f2f1b2

[ "BSD-3-Clause" ]

null

credolib/plotting.py

awacha/credolib

11c0be3eea7257d3d6e13697d3e76ce538f2f1b2

[ "BSD-3-Clause" ]

null

__all__=['plotsascurve','guinierplot','kratkyplot'] from .io import getsascurve import matplotlib.pyplot as plt from sastool.libconfig import qunit, dunit def plotsascurve(samplename, *args, **kwargs): if 'dist' not in kwargs: kwargs['dist'] = None data1d, dist = getsascurve(samplename, kwargs['dist']) del kwargs['dist'] if 'factor' in kwargs: factor=kwargs['factor'] del kwargs['factor'] else: factor=1 if 'label' not in kwargs: if isinstance(dist, str): kwargs['label'] = samplename + ' ' + dist else: kwargs['label'] = samplename + ' %g mm' % dist if 'errorbar' in kwargs: errorbars = bool(kwargs['errorbar']) del kwargs['errorbar'] else: errorbars = False if errorbars: ret = (data1d*factor).errorbar(*args, **kwargs) plt.xscale('log') plt.yscale('log') else: ret = (data1d*factor).loglog(*args, **kwargs) plt.xlabel('q (' + qunit() + ')') plt.ylabel('$d\\Sigma/d\\Omega$ (cm$^{-1}$ sr$^{-1}$)') plt.legend(loc='best') plt.grid(True, which='both') plt.axis('tight') return ret def guinierplot(*args, **kwargs): """Make a Guinier plot. This is simply a wrapper around plotsascurve().""" ret=plotsascurve(*args, **kwargs) plt.xscale('power',exponent=2) plt.yscale('log') return ret def kratkyplot(samplename, *args, **kwargs): if 'dist' not in kwargs: kwargs['dist'] = None data1d, dist = getsascurve(samplename, kwargs['dist']) del kwargs['dist'] if 'factor' in kwargs: factor=kwargs['factor'] del kwargs['factor'] else: factor=1 if 'label' not in kwargs: if isinstance(dist, str): kwargs['label'] = samplename + ' ' + dist else: kwargs['label'] = samplename + ' %g mm' % dist if 'errorbar' in kwargs: errorbars = bool(kwargs['errorbar']) del kwargs['errorbar'] else: errorbars = False data1dscaled=data1d*factor if errorbars: if hasattr(data1dscaled, 'dx'): dx=data1dscaled.qError dy=(data1dscaled.Error ** 2 * data1dscaled.q ** 4 + data1dscaled.Intensity ** 2 * data1dscaled.qError ** 2 * data1dscaled.q ** 2 * 4) ** 0.5 else: dx=None dy=data1dscaled.Error ret = plt.errorbar(data1dscaled.q, data1dscaled.q ** 2 * data1dscaled.Intensity, dy, dx, *args, **kwargs) else: ret = plt.plot(data1dscaled.q, data1dscaled.Intensity * data1dscaled.q ** 2, *args, **kwargs) plt.xlabel('q (' + dunit() + ')') plt.ylabel('$q^2 d\\Sigma/d\\Omega$ (' + dunit() + '$^{-2}$ cm$^{-1}$ sr$^{-1}$)') plt.legend(loc='best') plt.grid(True, which='both') plt.axis('tight') return ret def porodplot(samplename, *args, **kwargs): if 'dist' not in kwargs: kwargs['dist'] = None data1d, dist = getsascurve(samplename, kwargs['dist']) del kwargs['dist'] if 'factor' in kwargs: factor=kwargs['factor'] del kwargs['factor'] else: factor=1 if 'label' not in kwargs: if isinstance(dist, str): kwargs['label'] = samplename + ' ' + dist else: kwargs['label'] = samplename + ' %g mm' % dist if 'errorbar' in kwargs: errorbars = bool(kwargs['errorbar']) del kwargs['errorbar'] else: errorbars = False data1dscaled=data1d*factor if errorbars: if hasattr(data1dscaled, 'dx'): dx=data1dscaled.qError dy=(data1dscaled.Error ** 2 * data1dscaled.q ** 8 + data1dscaled.Intensity ** 2 * data1dscaled.qError ** 2 * data1dscaled.q ** 6 * 14) ** 0.5 else: dx=None dy=data1dscaled.Error ret = plt.errorbar(data1dscaled.q, data1dscaled.q ** 4 * data1dscaled.Intensity, dy, dx, *args, **kwargs) else: ret = plt.plot(data1dscaled.q, data1dscaled.Intensity * data1dscaled.q ** 2, *args, **kwargs) plt.xlabel('q (' + dunit() + ')') plt.ylabel('$q^4 d\\Sigma/d\\Omega$ (' + dunit() + '$^{-4}$ cm$^{-1}$ sr$^{-1}$)') plt.legend(loc='best') plt.xscale('power',exponent=4) plt.yscale('linear') plt.grid(True, which='both') plt.axis('tight') return ret

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7

1cde323caf473a0755efe1621a5d390e8386c0dd

18,165

py

Python

tests/test_play_requests.py

davidemoro/play_requests

1173233a5da4fea5df22b95c9224f381b4cf7bf4

[ "Apache-2.0" ]

7

2018-04-14T08:07:02.000Z

2019-02-19T12:01:18.000Z

tests/test_play_requests.py

davidemoro/play_requests

1173233a5da4fea5df22b95c9224f381b4cf7bf4

[ "Apache-2.0" ]

5

2019-01-10T22:22:55.000Z

2020-01-01T05:22:46.000Z

tests/test_play_requests.py

tierratelematics/play_requests

1173233a5da4fea5df22b95c9224f381b4cf7bf4

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """Tests for `play_requests` package.""" import os import pytest @pytest.fixture(scope='session') def variables(): return {'skins': {'skin1': {'base_url': 'http://', 'credentials': {}}}} def test_post1(play): import requests_mock with requests_mock.mock() as m: m.request('POST', 'http://something/1', json={'status': 'ok'}) mock_engine = play mock_engine.variables = {} from play_requests import providers provider = providers.RequestsProvider(mock_engine) assert provider.engine is mock_engine provider.command_POST({ 'provider': 'play_requests', 'type': 'POST', 'url': 'http://something/1', 'parameters': { 'json': { 'foo': 'bar', }, 'timeout': 2.5 }, }) history = m.request_history assert len(history) == 1 assert history[0].method == 'POST' assert history[0].url == 'http://something/1' assert history[0].json() == {'foo': 'bar'} assert history[0].timeout == 2.5 def test_post_variables(play): import requests_mock with requests_mock.mock() as m: m.request('POST', 'http://something/1', json={'status': 'ok'}) mock_engine = play mock_engine.variables = {} from play_requests import providers provider = providers.RequestsProvider(mock_engine) assert provider.engine is mock_engine provider.command_POST({ 'provider': 'play_requests', 'type': 'POST', 'url': 'http://something/1', 'variable': 'myvar', 'variable_expression': 'response.json()', 'parameters': { 'json': { 'foo': 'bar', }, 'timeout': 2.5 }, }) assert 'myvar' in mock_engine.variables assert mock_engine.variables['myvar']['status'] == 'ok' history = m.request_history assert len(history) == 1 assert history[0].method == 'POST' assert history[0].url == 'http://something/1' assert history[0].json() == {'foo': 'bar'} assert history[0].timeout == 2.5 def test_post_variables_assert(play): import requests_mock with requests_mock.mock() as m: m.request('POST', 'http://something/1', json={'status': 'ok'}) mock_engine = play mock_engine.variables = {} from play_requests import providers provider = providers.RequestsProvider(mock_engine) assert provider.engine is mock_engine provider.command_POST({ 'provider': 'play_requests', 'type': 'POST', 'url': 'http://something/1', 'variable': 'myvar', 'variable_expression': 'response.json()', 'assertion': 'variables["myvar"]["status"] == "ok"', 'parameters': { 'json': { 'foo': 'bar', }, 'timeout': 2.5 }, }) assert 'myvar' in mock_engine.variables assert mock_engine.variables['myvar']['status'] == 'ok' history = m.request_history assert len(history) == 1 assert history[0].method == 'POST' assert history[0].url == 'http://something/1' assert history[0].json() == {'foo': 'bar'} assert history[0].timeout == 2.5 def test_post_variables_assert_ko(play): import requests_mock with requests_mock.mock() as m: m.request('POST', 'http://something/1', json={'status': 'KO'}) mock_engine = play mock_engine.variables = {} from play_requests import providers provider = providers.RequestsProvider(mock_engine) assert provider.engine is mock_engine with pytest.raises(AssertionError): provider.command_POST({ 'provider': 'play_requests', 'type': 'POST', 'url': 'http://something/1', 'variable': 'myvar', 'variable_expression': 'response.json()', 'assertion': 'variables["myvar"]["status"] == "ok"', 'parameters': { 'json': { 'foo': 'bar', }, 'timeout': 2.5 }, }) assert 'myvar' in mock_engine.variables assert mock_engine.variables['myvar']['status'] == 'KO' history = m.request_history assert len(history) == 1 assert history[0].method == 'POST' assert history[0].url == 'http://something/1' assert history[0].json() == {'foo': 'bar'} assert history[0].timeout == 2.5 def test_get(play): import requests_mock with requests_mock.mock() as m: m.request('GET', 'http://something/1', text='OK') mock_engine = play mock_engine.variables = {} from play_requests import providers provider = providers.RequestsProvider(mock_engine) assert provider.engine is mock_engine provider.command_GET({ 'provider': 'play_requests', 'type': 'GET', 'url': 'http://something/1', 'parameters': { 'timeout': 2.5 }, }) history = m.request_history assert len(history) == 1 assert history[0].method == 'GET' assert history[0].url == 'http://something/1' # mock requests bug # assert history[0].text == 'OK' assert history[0].timeout == 2.5 def test_no_parameters(play): import requests_mock with requests_mock.mock() as m: m.request('GET', 'http://something/1', text='OK') mock_engine = play mock_engine.variables = {} from play_requests import providers provider = providers.RequestsProvider(mock_engine) assert provider.engine is mock_engine provider.command_GET({ 'provider': 'play_requests', 'type': 'GET', 'url': 'http://something/1', }) history = m.request_history assert len(history) == 1 assert history[0].method == 'GET' assert history[0].url == 'http://something/1' # mock requests bug # assert history[0].text == 'OK' def test_get_params_simple(play): import requests_mock with requests_mock.mock() as m: m.request('GET', 'http://something/1', text='OK') mock_engine = play mock_engine.variables = {} from play_requests import providers provider = providers.RequestsProvider(mock_engine) assert provider.engine is mock_engine provider.command_GET({ 'provider': 'play_requests', 'type': 'GET', 'url': 'http://something/1', 'parameters': { 'params': {'foo': 'bar'}, 'timeout': 2.5 }, }) history = m.request_history assert len(history) == 1 assert history[0].method == 'GET' assert history[0].url == 'http://something/1?foo=bar' # mock requests bug # assert history[0].text == 'OK' assert history[0].timeout == 2.5 def test_get_params_multi(play): import requests_mock import re with requests_mock.mock() as m: m.request('GET', 'http://something/1', text='OK') mock_engine = play mock_engine.variables = {} from play_requests import providers provider = providers.RequestsProvider(mock_engine) assert provider.engine is mock_engine provider.command_GET({ 'provider': 'play_requests', 'type': 'GET', 'url': 'http://something/1', 'parameters': { 'params': {'foo': ['bar', 'baz']}, 'timeout': 2.5 }, }) history = m.request_history assert len(history) == 1 assert history[0].method == 'GET' match = re.search( r'http\://something/1\?foo=(bar|baz)&foo=(bar|baz)', history[0].url) foo1 = match.group(1) foo2 = match.group(2) assert foo1 != foo2 assert foo1 in ('bar', 'baz') assert foo2 in ('bar', 'baz') assert history[0].timeout == 2.5 def test_post_headers(play): import requests_mock with requests_mock.mock() as m: headers = {'user-agent': 'my-app/0.0.1'} m.request('POST', 'http://something/1', request_headers=headers, json={'status': 'ok'}) mock_engine = play mock_engine.variables = {} from play_requests import providers provider = providers.RequestsProvider(mock_engine) assert provider.engine is mock_engine provider.command_POST({ 'provider': 'play_requests', 'type': 'POST', 'url': 'http://something/1', 'parameters': { 'headers': headers, 'json': { 'foo': 'bar', }, 'timeout': 2.5 }, }) history = m.request_history assert len(history) == 1 assert history[0].method == 'POST' assert history[0].url == 'http://something/1' assert history[0].json() == {'foo': 'bar'} assert history[0].timeout == 2.5 # no headers with pytest.raises(requests_mock.exceptions.NoMockAddress): provider.command_POST({ 'provider': 'play_requests', 'type': 'POST', 'url': 'http://something/1', 'parameters': { 'json': { 'foo': 'bar', }, 'timeout': 2.5 }, }) @pytest.mark.parametrize('command', [ {'provider': 'play_requests', 'type': 'POST', 'url': 'http://something/1', 'parameters': { 'files': { 'filecsv': ( 'report.csv', 'some,data', ) }, }, }, {'provider': 'play_requests', 'type': 'POST', 'url': 'http://something/1', 'parameters': { 'files': { 'filecsv': ( 'report.csv', 'some,data', 'application/csv', {'Expires': '0'}, ) }, }, }, {'provider': 'play_requests', 'type': 'POST', 'url': 'http://something/1', 'parameters': { 'files': { 'filecsv1': ( 'report.csv', 'some,data', ), 'filecsv': ( 'report.csv', 'some,data', 'application/csv', {'Expires': '0'}, ) }, }, }, ]) def test_post_files(command, play): import mock with mock.patch('play_requests.providers.requests') \ as mock_requests: mock_engine = play mock_engine.variables = {} from play_requests import providers provider = providers.RequestsProvider(mock_engine) assert provider.engine is mock_engine provider.command_POST(command) assert mock_requests \ .Session \ .return_value \ .request \ .assert_called_once_with( command['type'], command['url'], files=command['parameters']['files']) is None def test_post_files_path(play): file_path = os.path.join(os.path.dirname(__file__), 'file.csv') command = { 'provider': 'play_requests', 'type': 'POST', 'url': 'http://something/1', 'parameters': { 'files': { 'filecsv': ( 'file.csv', 'path:{0}'.format(file_path), ) }, }, } import mock with mock.patch('play_requests.providers.requests') \ as mock_requests: with mock.patch('play_requests.providers.open') \ as mock_open: file_mock = mock.MagicMock() mock_open.return_value = file_mock mock_engine = play mock_engine.variables = {} from play_requests import providers provider = providers.RequestsProvider(mock_engine) assert provider.engine is mock_engine provider.command_POST(command) assert mock_requests \ .Session \ .return_value \ .request \ .assert_called_once_with( command['type'], command['url'], files={'filecsv': ('file.csv', file_mock)}) is None assert mock_open.assert_called_once_with( file_path, 'rb') is None @pytest.mark.parametrize('assertion', [ 'response.status_code == 200', 'response.status_code != 404', 'response.status_code == 200 and response.json()["status"] == "ok"', '"status" in response.json()', 'variables["foo"] == "baz"', '"foo" in variables', 'len([1]) == 1', '[1][0] == 1', 'len(list(response.json().items())) == 1', 'variables["foo"].upper() == "BAZ"', 'match(r"^([0-9]*)-data", "123-data")', 'match(r"^([0-9]*)-data", "123-data").group(1) == "123"' ]) def test_post_assertion(assertion, play): import requests_mock with requests_mock.mock() as m: m.request('POST', 'http://something/1', json={'status': 'ok'}) mock_engine = play mock_engine.variables = {'foo': 'baz'} from play_requests import providers provider = providers.RequestsProvider(mock_engine) assert provider.engine is mock_engine provider.command_POST({ 'provider': 'play_requests', 'type': 'POST', 'url': 'http://something/1', 'parameters': { 'json': { 'foo': 'bar', }, 'timeout': 2.5 }, 'assertion': assertion }) history = m.request_history assert len(history) == 1 assert history[0].method == 'POST' assert history[0].url == 'http://something/1' assert history[0].json() == {'foo': 'bar'} assert history[0].timeout == 2.5 def test_post_assertion_ko(play): import requests_mock with requests_mock.mock() as m: m.request('POST', 'http://something/1', json={'status': 'ok'}) mock_engine = play mock_engine.variables = {'foo': 'baz'} from play_requests import providers provider = providers.RequestsProvider(mock_engine) assert provider.engine is mock_engine with pytest.raises(AssertionError): provider.command_POST({ 'provider': 'play_requests', 'type': 'POST', 'url': 'http://something/1', 'parameters': { 'json': { 'foo': 'bar', }, 'timeout': 2.5 }, 'assertion': 'response.status_code == 404' }) history = m.request_history assert len(history) == 1 assert history[0].method == 'POST' assert history[0].url == 'http://something/1' assert history[0].json() == {'foo': 'bar'} assert history[0].timeout == 2.5 @pytest.mark.parametrize('assertion', [ 'open("/etc/passwd", "r")', 'open', 'import os', '__file__', '__file__', '__builtins__.__dict__["bytes"]', '__builtins__.__dict__["bytes"] = "pluto"', 'prova = lambda: 1', 'os = 1', ]) def test_post_assertion_bad(assertion, play): import requests_mock with requests_mock.mock() as m: m.request('POST', 'http://something/1', json={'status': 'ok'}) mock_engine = play mock_engine.variables = {'foo': 'baz'} from play_requests import providers provider = providers.RequestsProvider(mock_engine) assert provider.engine is mock_engine with pytest.raises(Exception): provider.command_POST({ 'provider': 'play_requests', 'type': 'POST', 'url': 'http://something/1', 'parameters': { 'json': { 'foo': 'bar', }, 'timeout': 2.5 }, 'assertion': assertion }) history = m.request_history assert len(history) == 1 assert history[0].method == 'POST' assert history[0].url == 'http://something/1' assert history[0].json() == {'foo': 'bar'} assert history[0].timeout == 2.5 @pytest.mark.parametrize('verb', [ 'OPTIONS', 'HEAD', 'PUT', 'PATCH', 'DELETE', ]) def test_other_verbs(verb, play): """ """ import mock _make_request = mock.MagicMock() from play_requests import providers provider = providers.RequestsProvider(play) provider._make_request = _make_request command = {'provider': 'play_requests', 'type': verb} getattr(provider, 'command_{0}'.format(verb))(command, foo='bar') assert _make_request.assert_called_once_with(verb, command) is None

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null

0

7

1c66d754e1f680eb0a222d98b6ff0a80cc49728b

7,676

py

Python

okonomiyaki/platforms/tests/test_platform_filters.py

enthought/okonomiyaki

51b8b4fa8d17255e13c097402691726545cf5b4c

[ "BSD-3-Clause" ]

1

2021-06-01T16:35:00.000Z

okonomiyaki/platforms/tests/test_platform_filters.py

enthought/okonomiyaki

51b8b4fa8d17255e13c097402691726545cf5b4c

[ "BSD-3-Clause" ]

249

2015-02-24T19:06:53.000Z

2021-07-30T09:01:53.000Z

okonomiyaki/platforms/tests/test_platform_filters.py

enthought/okonomiyaki

51b8b4fa8d17255e13c097402691726545cf5b4c

[ "BSD-3-Clause" ]

4

2015-02-19T21:29:12.000Z

2016-01-14T21:02:39.000Z

from __future__ import absolute_import import sys from .._arch import Arch from ..epd_platform import EPDPlatform from .._platform import OSKind, NameKind, FamilyKind, Platform from ..platform_filters import PlatformFilter, PlatformLabel, PlatformLiteral if sys.version_info < (2, 7): import unittest2 as unittest else: import unittest LABEL_WINDOWS_ANY = PlatformLabel() LABEL_WINDOWS_ANY.os_kind = OSKind.windows LABEL_OSX_32 = PlatformLabel() LABEL_OSX_32.os_kind = OSKind.darwin LABEL_OSX_32.arch = Arch.from_name("x86") def _platform_from_epd_string(s): return EPDPlatform.from_epd_string(s).platform RH5_32 = _platform_from_epd_string("rh5-32") RH5_X86_64 = _platform_from_epd_string("rh5-64") OSX_32 = _platform_from_epd_string("osx-32") WIN_X86_64 = _platform_from_epd_string("win-64") UBUNTU_12_10_X32 = Platform( OSKind.linux, NameKind.ubuntu, FamilyKind.debian, "12.10", Arch.from_name("x86"), Arch.from_name("x86"), ) UBUNTU_14_04_X32 = Platform( OSKind.linux, NameKind.ubuntu, FamilyKind.debian, "14.04", Arch.from_name("x86"), Arch.from_name("x86"), ) UBUNTU_14_04_X64 = Platform( OSKind.linux, NameKind.ubuntu, FamilyKind.debian, "14.04", Arch.from_name("x86_64"), Arch.from_name("x86_64") ) class TestPlatformLabel(unittest.TestCase): def test_bitwidth_only(self): # Given label = PlatformLabel(arch=Arch.from_name("x86")) # When/Then self.assertTrue(label.matches(RH5_32)) self.assertFalse(label.matches(RH5_X86_64)) self.assertTrue(label.matches(OSX_32)) self.assertFalse(label.matches(WIN_X86_64)) def test_os(self): # Given label = PlatformLabel(os_kind=OSKind.windows) # When/Then self.assertFalse(label.matches(RH5_32)) self.assertFalse(label.matches(RH5_X86_64)) self.assertFalse(label.matches(OSX_32)) self.assertTrue(label.matches(WIN_X86_64)) def test_name(self): # Given label = PlatformLabel(name_kind=NameKind.centos) # When/Then self.assertFalse(label.matches(RH5_32)) self.assertFalse(label.matches(RH5_X86_64)) self.assertFalse(label.matches(OSX_32)) self.assertFalse(label.matches(WIN_X86_64)) def test_specific(self): # Given label = PlatformLabel( name_kind=NameKind.ubuntu, arch=Arch.from_name("x86"), release="14.04" ) # When/Then self.assertFalse(label.matches(RH5_32)) self.assertFalse(label.matches(RH5_X86_64)) self.assertFalse(label.matches(OSX_32)) self.assertFalse(label.matches(WIN_X86_64)) self.assertFalse(label.matches(UBUNTU_12_10_X32)) self.assertTrue(label.matches(UBUNTU_14_04_X32)) self.assertFalse(label.matches(UBUNTU_14_04_X64)) def test_from_legacy_string(self): # Given label = PlatformLabel._from_legacy_string("rh") # When/Then self.assertTrue(label.matches(RH5_32)) self.assertTrue(label.matches(RH5_X86_64)) self.assertFalse(label.matches(OSX_32)) self.assertFalse(label.matches(WIN_X86_64)) self.assertFalse(label.matches(UBUNTU_12_10_X32)) self.assertFalse(label.matches(UBUNTU_14_04_X32)) self.assertFalse(label.matches(UBUNTU_14_04_X64)) # Given label = PlatformLabel._from_legacy_string("rh6") # When/Then self.assertFalse(label.matches(RH5_32)) self.assertFalse(label.matches(RH5_X86_64)) self.assertFalse(label.matches(OSX_32)) self.assertFalse(label.matches(WIN_X86_64)) self.assertFalse(label.matches(UBUNTU_12_10_X32)) self.assertFalse(label.matches(UBUNTU_14_04_X32)) self.assertFalse(label.matches(UBUNTU_14_04_X64)) # Given label = PlatformLabel._from_legacy_string("win-64") # When/Then self.assertFalse(label.matches(RH5_32)) self.assertFalse(label.matches(RH5_X86_64)) self.assertFalse(label.matches(OSX_32)) self.assertTrue(label.matches(WIN_X86_64)) self.assertFalse(label.matches(UBUNTU_12_10_X32)) self.assertFalse(label.matches(UBUNTU_14_04_X32)) self.assertFalse(label.matches(UBUNTU_14_04_X64)) # Given label = PlatformLabel._from_legacy_string("64") # When/Then self.assertFalse(label.matches(RH5_32)) self.assertTrue(label.matches(RH5_X86_64)) self.assertFalse(label.matches(OSX_32)) self.assertTrue(label.matches(WIN_X86_64)) self.assertFalse(label.matches(UBUNTU_12_10_X32)) self.assertFalse(label.matches(UBUNTU_14_04_X32)) self.assertTrue(label.matches(UBUNTU_14_04_X64)) # Given label = PlatformLabel._from_legacy_string("all") # When/Then self.assertTrue(label.matches(RH5_32)) self.assertTrue(label.matches(RH5_X86_64)) self.assertTrue(label.matches(OSX_32)) self.assertTrue(label.matches(WIN_X86_64)) self.assertTrue(label.matches(UBUNTU_12_10_X32)) self.assertTrue(label.matches(UBUNTU_14_04_X32)) self.assertTrue(label.matches(UBUNTU_14_04_X64)) class TestPlatformFilter(unittest.TestCase): def test_simple(self): # Given literals = [PlatformLiteral(LABEL_WINDOWS_ANY, False), PlatformLiteral(LABEL_OSX_32, False)] # When filtre = PlatformFilter(literals) # Then self.assertTrue(filtre.matches(RH5_X86_64)) def test_from_pisi_string_simple(self): # Given legacy_string = "all" # When filtre = PlatformFilter.from_legacy_string(legacy_string) # Then self.assertTrue(filtre.matches(RH5_32)) self.assertTrue(filtre.matches(RH5_X86_64)) self.assertTrue(filtre.matches(OSX_32)) self.assertTrue(filtre.matches(WIN_X86_64)) self.assertTrue(filtre.matches(UBUNTU_12_10_X32)) self.assertTrue(filtre.matches(UBUNTU_14_04_X32)) self.assertTrue(filtre.matches(UBUNTU_14_04_X64)) # Given legacy_string = "!all" # When filtre = PlatformFilter.from_legacy_string(legacy_string) # Then self.assertFalse(filtre.matches(RH5_32)) self.assertFalse(filtre.matches(RH5_X86_64)) self.assertFalse(filtre.matches(OSX_32)) self.assertFalse(filtre.matches(WIN_X86_64)) self.assertFalse(filtre.matches(UBUNTU_12_10_X32)) self.assertFalse(filtre.matches(UBUNTU_14_04_X32)) self.assertFalse(filtre.matches(UBUNTU_14_04_X64)) # Given legacy_string = "win" # When filtre = PlatformFilter.from_legacy_string(legacy_string) # Then self.assertFalse(filtre.matches(RH5_32)) self.assertFalse(filtre.matches(RH5_X86_64)) self.assertFalse(filtre.matches(OSX_32)) self.assertTrue(filtre.matches(WIN_X86_64)) self.assertFalse(filtre.matches(UBUNTU_12_10_X32)) self.assertFalse(filtre.matches(UBUNTU_14_04_X32)) def test_from_pisi_string_composite(self): # Given legacy_string = "!win,!osx" # When filtre = PlatformFilter.from_legacy_string(legacy_string) # Then self.assertTrue(filtre.matches(RH5_32)) self.assertTrue(filtre.matches(RH5_X86_64)) self.assertFalse(filtre.matches(OSX_32)) self.assertFalse(filtre.matches(WIN_X86_64)) self.assertTrue(filtre.matches(UBUNTU_12_10_X32)) self.assertTrue(filtre.matches(UBUNTU_14_04_X32)) self.assertTrue(filtre.matches(UBUNTU_14_04_X64))

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null

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null

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1

0

8

98c1f35fdc53485a832d1c2f5f4c6630b105ecd6

137

py

Python

gym_quidditch/envs/__init__.py

ac1212/gym-quidditch

ac569de414c1e71dd46e0971aea251272cb68ec2

[ "MIT" ]

1

2019-05-09T01:15:37.000Z

gym_quidditch/envs/__init__.py

ac1212/gym-quidditch

ac569de414c1e71dd46e0971aea251272cb68ec2

[ "MIT" ]

3

2019-05-09T03:29:50.000Z

2019-05-09T17:09:50.000Z

gym_quidditch/envs/__init__.py

ac1212/gym-quidditch

ac569de414c1e71dd46e0971aea251272cb68ec2

[ "MIT" ]

null

from gym_quidditch.envs.quidditchsnitch_v0 import QuidditchSnitchEnv from gym_quidditch.envs.quidditchseeker_v0 import QuidditchSeekerEnv

68.5

68

0.919708

16

137

7.625

0.625

0.114754

0.262295

0.327869

0

0.015385

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null

0

1

0

1

0

1

0

7

98d3726f920a268e860b45603fc947c05445ca34

150

py

Python

{{ cookiecutter.repo_name }}/src/utils/__init__.py

thanhtcptit/ml_template

0c5aa288ba0d8ab9f2b4a64fc0646c3fe751d414

[ "MIT" ]

null

{{ cookiecutter.repo_name }}/src/utils/__init__.py

thanhtcptit/ml_template

0c5aa288ba0d8ab9f2b4a64fc0646c3fe751d414

[ "MIT" ]

null

{{ cookiecutter.repo_name }}/src/utils/__init__.py

thanhtcptit/ml_template

0c5aa288ba0d8ab9f2b4a64fc0646c3fe751d414

[ "MIT" ]

null

from src.utils.common import * from src.utils.file_utils import * from src.utils.params import Params, Registrable from src.utils.logger import Logger

37.5

48

0.82

24

150

5.083333

0.375

0.229508

0.393443

0.295082

0

0.106667

150

4

49

37.5

0.910448

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true

0

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0

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null

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null

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1

0

1

0

8

c7109c8a98c4ba92ba66c20c99e139c2f4774086

683

py

Python

centernet_lightning/eval/__init__.py

gau-nernst/CenterNet

bd6a21813a63310e3b1c77cefe24077b72d1092a

[ "MIT" ]

47

2021-08-10T09:30:53.000Z

2022-03-29T07:53:43.000Z

centernet_lightning/eval/__init__.py

gau-nernst/CenterNet

bd6a21813a63310e3b1c77cefe24077b72d1092a

[ "MIT" ]

1

2021-08-07T13:46:49.000Z

centernet_lightning/eval/__init__.py

gau-nernst/CenterNet

bd6a21813a63310e3b1c77cefe24077b72d1092a

[ "MIT" ]

6

2021-08-12T02:40:43.000Z

2022-01-31T16:12:40.000Z

# from .coco import pred_detections_to_coco_format, target_detections_to_coco_format, evaluate_coco_detection, evaluate_coco_detection_from_file # from .mot_challenge import evaluate_mot_tracking_sequence, evaluate_mot_tracking_from_file # from .utils import voc_to_coco_annotations, detections_to_coco_results, ground_truth_to_coco_annotations # __all__ = [ # "pred_detections_to_coco_format", "target_detections_to_coco_format", # "evaluate_coco_detection", "evaluate_coco_detection_from_file", # "evaluate_mot_tracking_sequence", "evaluate_mot_tracking_from_file", # "voc_to_coco_annotations", "detections_to_coco_results", "ground_truth_to_coco_annotations" # ]

62.090909

144

0.847731

91

683

5.626374

0.241758

0.117188

0.1875

0.171875

0.894531

0.683594

0

0.083455

683

10

145

68.3

0.817891

0.970717

0

null

0

null

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null

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null

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true

0

null

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null

0

1

0

1

0

null

0

1

0

10

c732f5802e40eb70f8b7ea391a2f0099582299fd

323

py

Python

qutipy/Clifford/__init__.py

sumeetkhatri/QuTIPy

ca2a3344c1caa818504425496ea37278d80b1c44

[ "Apache-2.0" ]

19

2020-11-11T13:00:22.000Z

2022-03-14T11:18:04.000Z

qutipy/Clifford/__init__.py

sumeetkhatri/QuTIPy

ca2a3344c1caa818504425496ea37278d80b1c44

[ "Apache-2.0" ]

null

qutipy/Clifford/__init__.py

sumeetkhatri/QuTIPy

ca2a3344c1caa818504425496ea37278d80b1c44

[ "Apache-2.0" ]

1

2022-03-03T15:20:15.000Z

from qutipy.Clifford.Clifford_group_generators import Clifford_group_generators from qutipy.Clifford.generate_Clifford_group import generate_Clifford_group from qutipy.Clifford.generate_state_2design import generate_state_2design from qutipy.Clifford.Clifford_twirl_channel_one_qubit import Clifford_twirl_channel_one_qubit

80.75

93

0.928793

44

323

6.363636

0.295455

0.142857

0.257143

0.185714

0.2

0

0.006494

0.04644

323

4

93

80.75

0.902597

0

1

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

1

0

7

c73438dbfa3a8afd7723d02bba320814bd6d5882

2,608

py

Python

http_scanner/wrapper_scanner_http.py

gryxon/ScannerHTTP

3ee8d1d74e65a1bd1099e0ba90322e3d8ad6ecbb

[ "MIT" ]

2

2018-01-22T12:22:30.000Z

2019-07-12T12:56:21.000Z

http_scanner/wrapper_scanner_http.py

gryxon/ScannerHTTP

3ee8d1d74e65a1bd1099e0ba90322e3d8ad6ecbb

[ "MIT" ]

null

http_scanner/wrapper_scanner_http.py

gryxon/ScannerHTTP

3ee8d1d74e65a1bd1099e0ba90322e3d8ad6ecbb

[ "MIT" ]

1

2019-07-12T12:57:18.000Z

import json class WrapperBlackScannerHttp(object): """ Main black scanner wrapper class. """ def __init__(self, id_name="black_scanner"): """ Constructor of our scanner. :param id_name: Optional argument. Id of scanner. """ self._modules = [] self._result = {} self._id_mod = id_name def add_module(self, mod): """ Method adds module to wrapper. :param mod: Added module :return: None. """ self._modules.append(mod) def scan(self, link, data=None): """ Scanning method. Every added module scan the website. :param link: Url of the website :param data: Optional parameter to low implement module. :return: None. """ for module in self._modules: if module.get_id() == "bot" or module.get_id() == "dos": #print(data[1]) module.scan(data) else: module.scan(link) self._result[module.get_id()] = module.get_result() def get_result(self): """ Method which returns id of the Module :return: Dict with results. """ return self._result def get_id(self): """ Method which returns id of the module :return: Id of module """ return self._result class WrapperWhiteScannerHttp(object): """ Main white scanner wrapper class. """ def __init__(self, id_name="white_scanner"): """ Constructor of our scanner. :param id_name: Optional argument. Id of scanner. """ self._modules = [] self._result = {} self._id_mod = id_name def add_module(self, mod): """ Method adds module to wrapper. :param mod: Added module :return: None. """ self._modules.append(mod) def scan(self): """ Scanning method. Every added module scan the website. :param link: Url of the website :param data: Optional parameter to low implement module. :return: None. """ for module in self._modules: module.scan() self._result[module.get_id()] = module.get_result() def get_result(self): """ Method which returns id of the Module :return: Dict with results. """ return self._result def get_id(self): """ Method which returns id of the module :return: Id of module """ return self._id_mod

24.148148

68

0.543712

292

2,608

4.695205

0.205479

0.087527

0.046681

0.064187

0.844639

0.792123

0

0.000596

0.356212

2,608

108

69

24.148148

0.815962

0.367331

0

0.617647

0

0.025357

0

1

0.294118

false

0

0.029412

0

0.5

0

null

0

1

0

null

0

1

0

7

c7cb9e977cc9812c3884e10701725a4610282666

6,924

py

Python

backend/session/test_permissions.py

ThreeDRadio/intranet

b8c6ab177d508816da624d5063337cbd475fee9a

[ "MIT" ]

null

backend/session/test_permissions.py

ThreeDRadio/intranet

b8c6ab177d508816da624d5063337cbd475fee9a

[ "MIT" ]

1

2016-10-31T11:17:13.000Z

backend/session/test_permissions.py

ThreeDRadio/intranet

b8c6ab177d508816da624d5063337cbd475fee9a

[ "MIT" ]

null

from django.test import TestCase from django.contrib.auth.models import User from rest_framework.test import APIRequestFactory, force_authenticate from rest_framework.viewsets import ModelViewSet import permissions from models import Whitelist class IsStaffOrTargetUserTest(TestCase): def setUp(self): self.user = User.objects.create_user('user', 'password', 'fake@user.com'); self.admin = User.objects.create_user('admin', 'password', 'fake@user.com'); self.admin.is_staff=True self.admin.save() def test_has_permission_no_auth(self): """View level returns true if the request is a retrieve, otherwise false""" factory = APIRequestFactory() request = factory.get('api/users'); permission = permissions.IsStaffOrTargetUser() view = ModelViewSet(); view.action = 'retrieve' self.assertEqual(permission.has_permission(request, view), True) view.action = 'list' self.assertEqual(permission.has_permission(request, view), False) view.action = 'create' self.assertEqual(permission.has_permission(request, view), False) view.action = 'update' self.assertEqual(permission.has_permission(request, view), False) view.action = 'partial_update' self.assertEqual(permission.has_permission(request, view), False) view.action = 'destroy' self.assertEqual(permission.has_permission(request, view), False) def test_has_permission_regular_user(self): """View level returns true if the request is a retrieve, otherwise false""" factory = APIRequestFactory() request = factory.get('api/users'); permission = permissions.IsStaffOrTargetUser() force_authenticate(request, self.user) view = ModelViewSet(); view.action = 'retrieve' self.assertEqual(permission.has_permission(request, view), True) view.action = 'list' self.assertEqual(permission.has_permission(request, view), False) view.action = 'create' self.assertEqual(permission.has_permission(request, view), False) view.action = 'update' self.assertEqual(permission.has_permission(request, view), False) view.action = 'partial_update' self.assertEqual(permission.has_permission(request, view), False) view.action = 'destroy' self.assertEqual(permission.has_permission(request, view), False) def test_has_permission_admin_user(self): """View level returns true if the user is staff """ factory = APIRequestFactory() request = factory.get('api/users'); request.user = self.admin permission = permissions.IsStaffOrTargetUser() force_authenticate(request, self.admin) view = ModelViewSet(); view.action = 'retrieve' self.assertEqual(permission.has_permission(request, view), True) view.action = 'list' self.assertEqual(permission.has_permission(request, view), True) view.action = 'create' self.assertEqual(permission.has_permission(request, view), True) view.action = 'update' self.assertEqual(permission.has_permission(request, view), True) view.action = 'partial_update' self.assertEqual(permission.has_permission(request, view), True) view.action = 'destroy' self.assertEqual(permission.has_permission(request, view), True) def test_has_object_permission_admin_on_admin(self): """ Makes sure an admin user has permissions to access themselves""" factory = APIRequestFactory() request = factory.get('api/users'); request.user = self.admin permission = permissions.IsStaffOrTargetUser() view = ModelViewSet(); view.action = 'retrieve' self.assertEqual(permission.has_object_permission(request, view, self.admin), True) def test_has_object_permission_admin_on_user(self): """ Makes sure an admin user has permissions to access another user""" factory = APIRequestFactory() request = factory.get('api/users'); request.user = self.admin permission = permissions.IsStaffOrTargetUser() view = ModelViewSet(); view.action = 'retrieve' self.assertEqual(permission.has_object_permission(request, view, self.user), True) def test_has_object_permission_user_on_user(self): """ Makes sure a regular user has permissions to access themselves""" factory = APIRequestFactory() request = factory.get('api/users'); request.user = self.user permission = permissions.IsStaffOrTargetUser() view = ModelViewSet(); view.action = 'retrieve' self.assertEqual(permission.has_object_permission(request, view, self.user), True) def test_has_object_permission_user_on_admin(self): """ Makes sure a regular user cannot access other users""" factory = APIRequestFactory() request = factory.get('api/users'); request.user = self.user permission = permissions.IsStaffOrTargetUser() view = ModelViewSet(); view.action = 'retrieve' self.assertEqual(permission.has_object_permission(request, view, self.admin), False) class IsAuthenticatedOrWhitelistTest(TestCase): def setUp(self): self.user = User.objects.create_user('user', 'password', 'fake@user.com'); self.whitelist = Whitelist.objects.create(ip='127.0.0.1', name= 'Localhost') def test_unauthenticated_not_whitelisted(self): """ An unauthenticated, un-whitelisted IP address should not be granted permission""" factory = APIRequestFactory() request = factory.get('api/users'); request.META['REMOTE_ADDR'] = '255.255.255.0' request.user = False permission = permissions.IsAuthenticatedOrWhitelist() view = ModelViewSet(); view.action = 'retrieve' self.assertEqual(permission.has_permission(request, view), False) def test_unauthenticated_but_whitelisted(self): """ An unauthenticated, whitelisted IP address should be granted permission""" factory = APIRequestFactory() request = factory.get('api/users'); request.user = False permission = permissions.IsAuthenticatedOrWhitelist() view = ModelViewSet(); view.action = 'retrieve' self.assertEqual(permission.has_permission(request, view), True) def test_authenticated_not_whitelisted(self): """ An authenticated, un-whitelisted IP address should be granted permission""" factory = APIRequestFactory() request = factory.get('api/users'); request.META['REMOTE_ADDR'] = '255.255.255.0' request.user = self.user permission = permissions.IsAuthenticatedOrWhitelist() view = ModelViewSet(); view.action = 'retrieve' self.assertEqual(permission.has_permission(request, view), True) def test_authenticated_whitelisted(self): """ An authenticated, un-whitelisted IP address should be granted permission""" factory = APIRequestFactory() request = factory.get('api/users'); request.user = self.user permission = permissions.IsAuthenticatedOrWhitelist() view = ModelViewSet(); view.action = 'retrieve' self.assertEqual(permission.has_permission(request, view), True)

38.681564

89

0.72978

783

6,924

6.337165

0.11622

0.052398

0.130996

0.146715

0.882104

0.872834

0.856913

0.845627

0.825474

0

0.004454

0.156846

6,924

178

90

38.898876

0.845495

0.104419

0

0.801471

0

0.071696

0

0.191176

1

0.095588

false

0.022059

0.044118

0

0.154412

0

null

0

1

0

1

0

null

0

7

40309019d22f9ebf58909078f04fbea152f60fea

14,231

py

Python

bitwise/storage/REG.py

jamesjiang52/Bitwise

c71f151d23034b3f9e2a939f637be0eaa16c45c3

[ "MIT" ]

null

bitwise/storage/REG.py

jamesjiang52/Bitwise

c71f151d23034b3f9e2a939f637be0eaa16c45c3

[ "MIT" ]

null

bitwise/storage/REG.py

jamesjiang52/Bitwise

c71f151d23034b3f9e2a939f637be0eaa16c45c3

[ "MIT" ]

null

""" The following classes are defined: Register4 Register8 Register16 """ from .. import wire from .. import signal from . import FLOP Wire = wire.Wire Bus4 = wire.Bus4 Bus8 = wire.Bus8 Bus16 = wire.Bus16 class Register4: """Construct a new 4-bit storage register. Args: data_bus: An object of type Bus4. The data input to the register. enable: An object of type Wire. Enables the register. clock: An object of type Wire or Clock. The clock input to the register. output_bus: An object of type Bus4. The output of the register. Takes on the value of data_bus on the positive edges of clock if the value of enable is 1. Raises: TypeError: If either data_bus or output_bus is not a bus of width 4. """ def __init__(self, data_bus, enable, clock, output_bus): if len(data_bus) != 4: raise TypeError( "Expected bus of width 4, received bus of width {0}.".format( len(data_bus) ) ) if len(output_bus) != 4: raise TypeError( "Expected bus of width 4, received bus of width {0}.".format( len(output_bus) ) ) not_1 = Wire() not_2 = Wire() not_3 = Wire() not_4 = Wire() mux_bus = Bus4() _Multiplexer2To1_4(enable, data_bus, output_bus, mux_bus) FLOP.DFlipFlop(mux_bus[0], clock, output_bus[0], not_1) FLOP.DFlipFlop(mux_bus[1], clock, output_bus[1], not_2) FLOP.DFlipFlop(mux_bus[2], clock, output_bus[2], not_3) FLOP.DFlipFlop(mux_bus[3], clock, output_bus[3], not_4) self.data_bus = data_bus self.enable = enable self.clock = clock self.output_bus = output_bus def __str__(self): str_ = "" str_ += "data_bus: " + self.data_bus.__str__() + "\n" str_ += "enable: " + str(self.enable.value) + "\n" str_ += "clock: " + str(self.clock.value) + "\n" str_ += "output_bus: " + self.output_bus.__str__() return str_ def __call__( self, *, data_bus=None, enable=None, clock=None, output_bus=None ): if data_bus is not None: self.data_bus.wire_values = data_bus if enable is not None: self.enable.value = enable if clock is not None: self.clock.value = clock if output_bus is not None: self.output_bus.wire_values = output_bus class Register8: """Construct a new 8-bit storage register. Args: data_bus: An object of type Bus8. The data input to the register. enable: An object of type Wire. Enables the register. clock: An object of type Wire or Clock. The clock input to the register. output_bus: An object of type Bus8. The output of the register. Takes on the value of data_bus on the positive edges of clock if the value of enable is 1. Raises: TypeError: If either data_bus or output_bus is not a bus of width 8. """ def __init__(self, data_bus, enable, clock, output_bus): if len(data_bus) != 8: raise TypeError( "Expected bus of width 8, received bus of width {0}.".format( len(data_bus) ) ) if len(output_bus) != 8: raise TypeError( "Expected bus of width 8, received bus of width {0}.".format( len(output_bus) ) ) not_1 = Wire() not_2 = Wire() not_3 = Wire() not_4 = Wire() not_5 = Wire() not_6 = Wire() not_7 = Wire() not_8 = Wire() mux_bus = Bus8() _Multiplexer2To1_8(enable, data_bus, output_bus, mux_bus) FLOP.DFlipFlop(mux_bus[0], clock, output_bus[0], not_1) FLOP.DFlipFlop(mux_bus[1], clock, output_bus[1], not_2) FLOP.DFlipFlop(mux_bus[2], clock, output_bus[2], not_3) FLOP.DFlipFlop(mux_bus[3], clock, output_bus[3], not_4) FLOP.DFlipFlop(mux_bus[4], clock, output_bus[4], not_5) FLOP.DFlipFlop(mux_bus[5], clock, output_bus[5], not_6) FLOP.DFlipFlop(mux_bus[6], clock, output_bus[6], not_7) FLOP.DFlipFlop(mux_bus[7], clock, output_bus[7], not_8) self.data_bus = data_bus self.enable = enable self.clock = clock self.output_bus = output_bus def __str__(self): str_ = "" str_ += "data_bus: " + self.data_bus.__str__() + "\n" str_ += "enable: " + str(self.enable.value) + "\n" str_ += "clock: " + str(self.clock.value) + "\n" str_ += "output_bus: " + self.output_bus.__str__() return str_ def __call__( self, *, data_bus=None, enable=None, clock=None, output_bus=None ): if data_bus is not None: self.data_bus.wire_values = data_bus if enable is not None: self.enable.value = enable if clock is not None: self.clock.value = clock if output_bus is not None: self.output_bus.wire_values = output_bus class Register16: """Construct a new 16-bit storage register. Args: data_bus: An object of type Bus16. The data input to the register. enable: An object of type Wire. Enables the register. clock: An object of type Wire or Clock. The clock input to the register. output_bus: An object of type Bus16. The output of the register. Takes on the value of data_bus on the positive edges of clock if the value of enable is 1. Raises: TypeError: If either data_bus or output_bus is not a bus of width 16. """ def __init__(self, data_bus, enable, clock, output_bus): if len(data_bus) != 16: raise TypeError( "Expected bus of width 16, received bus of width {0}.".format( len(data_bus) ) ) if len(output_bus) != 16: raise TypeError( "Expected bus of width 16, received bus of width {0}.".format( len(output_bus) ) ) not_1 = Wire() not_2 = Wire() not_3 = Wire() not_4 = Wire() not_5 = Wire() not_6 = Wire() not_7 = Wire() not_8 = Wire() not_9 = Wire() not_10 = Wire() not_11 = Wire() not_12 = Wire() not_13 = Wire() not_14 = Wire() not_15 = Wire() not_16 = Wire() mux_bus = Bus16() _Multiplexer2To1_16(enable, data_bus, output_bus, mux_bus) FLOP.DFlipFlop(mux_bus[0], clock, output_bus[0], not_1) FLOP.DFlipFlop(mux_bus[1], clock, output_bus[1], not_2) FLOP.DFlipFlop(mux_bus[2], clock, output_bus[2], not_3) FLOP.DFlipFlop(mux_bus[3], clock, output_bus[3], not_4) FLOP.DFlipFlop(mux_bus[4], clock, output_bus[4], not_5) FLOP.DFlipFlop(mux_bus[5], clock, output_bus[5], not_6) FLOP.DFlipFlop(mux_bus[6], clock, output_bus[6], not_7) FLOP.DFlipFlop(mux_bus[7], clock, output_bus[7], not_8) FLOP.DFlipFlop(mux_bus[8], clock, output_bus[8], not_9) FLOP.DFlipFlop(mux_bus[9], clock, output_bus[9], not_10) FLOP.DFlipFlop(mux_bus[10], clock, output_bus[10], not_11) FLOP.DFlipFlop(mux_bus[11], clock, output_bus[11], not_12) FLOP.DFlipFlop(mux_bus[12], clock, output_bus[12], not_13) FLOP.DFlipFlop(mux_bus[13], clock, output_bus[13], not_14) FLOP.DFlipFlop(mux_bus[14], clock, output_bus[14], not_15) FLOP.DFlipFlop(mux_bus[15], clock, output_bus[15], not_16) self.data_bus = data_bus self.enable = enable self.clock = clock self.output_bus = output_bus def __str__(self): str_ = "" str_ += "data_bus: " + self.data_bus.__str__() + "\n" str_ += "enable: " + str(self.enable.value) + "\n" str_ += "clock: " + str(self.clock.value) + "\n" str_ += "output_bus: " + self.output_bus.__str__() return str_ def __call__( self, *, data_bus=None, enable=None, clock=None, output_bus=None ): if data_bus is not None: self.data_bus.wire_values = data_bus if enable is not None: self.enable.value = enable if clock is not None: self.clock.value = clock if output_bus is not None: self.output_bus.wire_values = output_bus class _Multiplexer2To1_4: """ This is an internal module for Register4. It multiplexes two 4-bit inputs to a single 4-bit output. """ def __init__( self, select, input_1_bus, input_2_bus, output_bus ): vcc = Wire() vcc.value = 1 signal.Multiplexer2To1( vcc, select, input_1_bus[0], input_2_bus[0], output_bus[0] ) signal.Multiplexer2To1( vcc, select, input_1_bus[1], input_2_bus[1], output_bus[1] ) signal.Multiplexer2To1( vcc, select, input_1_bus[2], input_2_bus[2], output_bus[2] ) signal.Multiplexer2To1( vcc, select, input_1_bus[3], input_2_bus[3], output_bus[3] ) class _Multiplexer2To1_8: """ This is an internal module for Register8. It multiplexes two 8-bit inputs to a single 8-bit output. """ def __init__( self, select, input_1_bus, input_2_bus, output_bus ): vcc = Wire() vcc.value = 1 signal.Multiplexer2To1( vcc, select, input_1_bus[0], input_2_bus[0], output_bus[0] ) signal.Multiplexer2To1( vcc, select, input_1_bus[1], input_2_bus[1], output_bus[1] ) signal.Multiplexer2To1( vcc, select, input_1_bus[2], input_2_bus[2], output_bus[2] ) signal.Multiplexer2To1( vcc, select, input_1_bus[3], input_2_bus[3], output_bus[3] ) signal.Multiplexer2To1( vcc, select, input_1_bus[4], input_2_bus[4], output_bus[4] ) signal.Multiplexer2To1( vcc, select, input_1_bus[5], input_2_bus[5], output_bus[5] ) signal.Multiplexer2To1( vcc, select, input_1_bus[6], input_2_bus[6], output_bus[6] ) signal.Multiplexer2To1( vcc, select, input_1_bus[7], input_2_bus[7], output_bus[7] ) class _Multiplexer2To1_16: """ This is an internal module for Register16. It multiplexes two 16-bit inputs to a single 16-bit output. """ def __init__( self, select, input_1_bus, input_2_bus, output_bus ): vcc = Wire() vcc.value = 1 signal.Multiplexer2To1( vcc, select, input_1_bus[0], input_2_bus[0], output_bus[0] ) signal.Multiplexer2To1( vcc, select, input_1_bus[1], input_2_bus[1], output_bus[1] ) signal.Multiplexer2To1( vcc, select, input_1_bus[2], input_2_bus[2], output_bus[2] ) signal.Multiplexer2To1( vcc, select, input_1_bus[3], input_2_bus[3], output_bus[3] ) signal.Multiplexer2To1( vcc, select, input_1_bus[4], input_2_bus[4], output_bus[4] ) signal.Multiplexer2To1( vcc, select, input_1_bus[5], input_2_bus[5], output_bus[5] ) signal.Multiplexer2To1( vcc, select, input_1_bus[6], input_2_bus[6], output_bus[6] ) signal.Multiplexer2To1( vcc, select, input_1_bus[7], input_2_bus[7], output_bus[7] ) signal.Multiplexer2To1( vcc, select, input_1_bus[8], input_2_bus[8], output_bus[8] ) signal.Multiplexer2To1( vcc, select, input_1_bus[9], input_2_bus[9], output_bus[9] ) signal.Multiplexer2To1( vcc, select, input_1_bus[10], input_2_bus[10], output_bus[10] ) signal.Multiplexer2To1( vcc, select, input_1_bus[11], input_2_bus[11], output_bus[11] ) signal.Multiplexer2To1( vcc, select, input_1_bus[12], input_2_bus[12], output_bus[12] ) signal.Multiplexer2To1( vcc, select, input_1_bus[13], input_2_bus[13], output_bus[13] ) signal.Multiplexer2To1( vcc, select, input_1_bus[14], input_2_bus[14], output_bus[14] ) signal.Multiplexer2To1( vcc, select, input_1_bus[15], input_2_bus[15], output_bus[15] )

27.472973

79

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408b0f04eab624c6927cc51f7d63a4cbea427b03

24,177

py

Python

sdk/python/pulumi_spotinst/azure/elastigroup.py

timmyers/pulumi-spotinst

3d071aaff57f7549403aca8587b1892f40e85d6c

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

null

sdk/python/pulumi_spotinst/azure/elastigroup.py

timmyers/pulumi-spotinst

3d071aaff57f7549403aca8587b1892f40e85d6c

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

null

sdk/python/pulumi_spotinst/azure/elastigroup.py

timmyers/pulumi-spotinst

3d071aaff57f7549403aca8587b1892f40e85d6c

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

null

# 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 json import warnings import pulumi import pulumi.runtime from typing import Union from .. import utilities, tables class Elastigroup(pulumi.CustomResource): custom_data: pulumi.Output[str] desired_capacity: pulumi.Output[float] """ The desired number of instances the group should have at any time. """ health_check: pulumi.Output[dict] images: pulumi.Output[list] integration_kubernetes: pulumi.Output[dict] integration_multai_runtime: pulumi.Output[dict] load_balancers: pulumi.Output[list] login: pulumi.Output[dict] low_priority_sizes: pulumi.Output[list] """ Available Low-Priority sizes. """ managed_service_identities: pulumi.Output[list] max_size: pulumi.Output[float] """ The maximum number of instances the group should have at any time. """ min_size: pulumi.Output[float] """ The minimum number of instances the group should have at any time. """ name: pulumi.Output[str] """ The name of the managed identity. """ network: pulumi.Output[dict] od_sizes: pulumi.Output[list] """ Available On-Demand sizes """ product: pulumi.Output[str] """ Operation system type. Valid values: `"Linux"`, `"Windows"`. """ region: pulumi.Output[str] """ The region your Azure group will be created in. """ resource_group_name: pulumi.Output[str] """ The Resource Group that the user-assigned managed identity resides in. """ scaling_down_policies: pulumi.Output[list] scaling_up_policies: pulumi.Output[list] scheduled_tasks: pulumi.Output[list] shutdown_script: pulumi.Output[str] """ Shutdown script for the group. Value should be passed as a string encoded at Base64 only. """ strategy: pulumi.Output[dict] """ Describes the deployment strategy. * `draining_timeout` (`float`) - Time (seconds) to allow the instance to be drained from incoming TCP connections and detached from MLB before terminating it during a scale-down operation. * `lowPriorityPercentage` (`float`) - Percentage of Low Priority instances to maintain. Required if `od_count` is not specified. * `odCount` (`float`) - Number of On-Demand instances to maintain. Required if low_priority_percentage is not specified. """ update_policy: pulumi.Output[dict] user_data: pulumi.Output[str] """ Base64-encoded MIME user data to make available to the instances. """ def __init__(__self__, resource_name, opts=None, custom_data=None, desired_capacity=None, health_check=None, images=None, integration_kubernetes=None, integration_multai_runtime=None, load_balancers=None, login=None, low_priority_sizes=None, managed_service_identities=None, max_size=None, min_size=None, name=None, network=None, od_sizes=None, product=None, region=None, resource_group_name=None, scaling_down_policies=None, scaling_up_policies=None, scheduled_tasks=None, shutdown_script=None, strategy=None, update_policy=None, user_data=None, __props__=None, __name__=None, __opts__=None): """ Provides a Spotinst elastigroup Azure resource. :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[float] desired_capacity: The desired number of instances the group should have at any time. :param pulumi.Input[list] low_priority_sizes: Available Low-Priority sizes. :param pulumi.Input[float] max_size: The maximum number of instances the group should have at any time. :param pulumi.Input[float] min_size: The minimum number of instances the group should have at any time. :param pulumi.Input[str] name: The name of the managed identity. :param pulumi.Input[list] od_sizes: Available On-Demand sizes :param pulumi.Input[str] product: Operation system type. Valid values: `"Linux"`, `"Windows"`. :param pulumi.Input[str] region: The region your Azure group will be created in. :param pulumi.Input[str] resource_group_name: The Resource Group that the user-assigned managed identity resides in. :param pulumi.Input[str] shutdown_script: Shutdown script for the group. Value should be passed as a string encoded at Base64 only. :param pulumi.Input[dict] strategy: Describes the deployment strategy. :param pulumi.Input[str] user_data: Base64-encoded MIME user data to make available to the instances. The **health_check** object supports the following: * `autoHealing` (`pulumi.Input[bool]`) * `gracePeriod` (`pulumi.Input[float]`) * `health_check_type` (`pulumi.Input[str]`) The **images** object supports the following: * `customs` (`pulumi.Input[list]`) * `imageName` (`pulumi.Input[str]`) * `resource_group_name` (`pulumi.Input[str]`) - The Resource Group that the user-assigned managed identity resides in. * `marketplaces` (`pulumi.Input[list]`) * `offer` (`pulumi.Input[str]`) * `publisher` (`pulumi.Input[str]`) * `sku` (`pulumi.Input[str]`) The **integration_kubernetes** object supports the following: * `clusterIdentifier` (`pulumi.Input[str]`) The **integration_multai_runtime** object supports the following: * `deploymentId` (`pulumi.Input[str]`) The **load_balancers** object supports the following: * `autoWeight` (`pulumi.Input[bool]`) * `balancerId` (`pulumi.Input[str]`) * `targetSetId` (`pulumi.Input[str]`) * `type` (`pulumi.Input[str]`) The **login** object supports the following: * `password` (`pulumi.Input[str]`) * `sshPublicKey` (`pulumi.Input[str]`) * `userName` (`pulumi.Input[str]`) The **managed_service_identities** object supports the following: * `name` (`pulumi.Input[str]`) - The name of the managed identity. * `resource_group_name` (`pulumi.Input[str]`) - The Resource Group that the user-assigned managed identity resides in. The **network** object supports the following: * `additionalIpConfigs` (`pulumi.Input[list]`) * `name` (`pulumi.Input[str]`) - The name of the managed identity. * `privateIpVersion` (`pulumi.Input[str]`) * `assignPublicIp` (`pulumi.Input[bool]`) * `resource_group_name` (`pulumi.Input[str]`) - The Resource Group that the user-assigned managed identity resides in. * `subnetName` (`pulumi.Input[str]`) * `virtualNetworkName` (`pulumi.Input[str]`) The **scaling_down_policies** object supports the following: * `actionType` (`pulumi.Input[str]`) * `adjustment` (`pulumi.Input[str]`) * `cooldown` (`pulumi.Input[float]`) * `dimensions` (`pulumi.Input[list]`) * `name` (`pulumi.Input[str]`) - The name of the managed identity. * `value` (`pulumi.Input[str]`) * `evaluationPeriods` (`pulumi.Input[float]`) * `maxTargetCapacity` (`pulumi.Input[str]`) * `maximum` (`pulumi.Input[str]`) * `metricName` (`pulumi.Input[str]`) * `minTargetCapacity` (`pulumi.Input[str]`) * `minimum` (`pulumi.Input[str]`) * `namespace` (`pulumi.Input[str]`) * `operator` (`pulumi.Input[str]`) * `period` (`pulumi.Input[float]`) * `policyName` (`pulumi.Input[str]`) * `statistic` (`pulumi.Input[str]`) * `target` (`pulumi.Input[str]`) * `threshold` (`pulumi.Input[float]`) * `unit` (`pulumi.Input[str]`) The **scaling_up_policies** object supports the following: * `actionType` (`pulumi.Input[str]`) * `adjustment` (`pulumi.Input[str]`) * `cooldown` (`pulumi.Input[float]`) * `dimensions` (`pulumi.Input[list]`) * `name` (`pulumi.Input[str]`) - The name of the managed identity. * `value` (`pulumi.Input[str]`) * `evaluationPeriods` (`pulumi.Input[float]`) * `maxTargetCapacity` (`pulumi.Input[str]`) * `maximum` (`pulumi.Input[str]`) * `metricName` (`pulumi.Input[str]`) * `minTargetCapacity` (`pulumi.Input[str]`) * `minimum` (`pulumi.Input[str]`) * `namespace` (`pulumi.Input[str]`) * `operator` (`pulumi.Input[str]`) * `period` (`pulumi.Input[float]`) * `policyName` (`pulumi.Input[str]`) * `statistic` (`pulumi.Input[str]`) * `target` (`pulumi.Input[str]`) * `threshold` (`pulumi.Input[float]`) * `unit` (`pulumi.Input[str]`) The **scheduled_tasks** object supports the following: * `adjustment` (`pulumi.Input[str]`) * `adjustmentPercentage` (`pulumi.Input[str]`) * `batchSizePercentage` (`pulumi.Input[str]`) * `cronExpression` (`pulumi.Input[str]`) * `gracePeriod` (`pulumi.Input[str]`) * `isEnabled` (`pulumi.Input[bool]`) * `scaleMaxCapacity` (`pulumi.Input[str]`) * `scaleMinCapacity` (`pulumi.Input[str]`) * `scaleTargetCapacity` (`pulumi.Input[str]`) * `taskType` (`pulumi.Input[str]`) The **strategy** object supports the following: * `draining_timeout` (`pulumi.Input[float]`) - Time (seconds) to allow the instance to be drained from incoming TCP connections and detached from MLB before terminating it during a scale-down operation. * `lowPriorityPercentage` (`pulumi.Input[float]`) - Percentage of Low Priority instances to maintain. Required if `od_count` is not specified. * `odCount` (`pulumi.Input[float]`) - Number of On-Demand instances to maintain. Required if low_priority_percentage is not specified. The **update_policy** object supports the following: * `rollConfig` (`pulumi.Input[dict]`) * `batchSizePercentage` (`pulumi.Input[float]`) * `gracePeriod` (`pulumi.Input[float]`) * `health_check_type` (`pulumi.Input[str]`) * `shouldRoll` (`pulumi.Input[bool]`) > This content is derived from https://github.com/terraform-providers/terraform-provider-spotinst/blob/master/website/docs/r/elastigroup_azure.html.markdown. """ if __name__ is not None: warnings.warn("explicit use of __name__ is deprecated", DeprecationWarning) resource_name = __name__ if __opts__ is not None: warnings.warn("explicit use of __opts__ is deprecated, use 'opts' instead", DeprecationWarning) opts = __opts__ 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__ = dict() __props__['custom_data'] = custom_data __props__['desired_capacity'] = desired_capacity __props__['health_check'] = health_check __props__['images'] = images __props__['integration_kubernetes'] = integration_kubernetes __props__['integration_multai_runtime'] = integration_multai_runtime __props__['load_balancers'] = load_balancers __props__['login'] = login if low_priority_sizes is None: raise TypeError("Missing required property 'low_priority_sizes'") __props__['low_priority_sizes'] = low_priority_sizes __props__['managed_service_identities'] = managed_service_identities __props__['max_size'] = max_size __props__['min_size'] = min_size __props__['name'] = name if network is None: raise TypeError("Missing required property 'network'") __props__['network'] = network if od_sizes is None: raise TypeError("Missing required property 'od_sizes'") __props__['od_sizes'] = od_sizes if product is None: raise TypeError("Missing required property 'product'") __props__['product'] = product if region is None: raise TypeError("Missing required property 'region'") __props__['region'] = region if resource_group_name is None: raise TypeError("Missing required property 'resource_group_name'") __props__['resource_group_name'] = resource_group_name __props__['scaling_down_policies'] = scaling_down_policies __props__['scaling_up_policies'] = scaling_up_policies __props__['scheduled_tasks'] = scheduled_tasks __props__['shutdown_script'] = shutdown_script if strategy is None: raise TypeError("Missing required property 'strategy'") __props__['strategy'] = strategy __props__['update_policy'] = update_policy __props__['user_data'] = user_data super(Elastigroup, __self__).__init__( 'spotinst:azure/elastigroup:Elastigroup', resource_name, __props__, opts) @staticmethod def get(resource_name, id, opts=None, custom_data=None, desired_capacity=None, health_check=None, images=None, integration_kubernetes=None, integration_multai_runtime=None, load_balancers=None, login=None, low_priority_sizes=None, managed_service_identities=None, max_size=None, min_size=None, name=None, network=None, od_sizes=None, product=None, region=None, resource_group_name=None, scaling_down_policies=None, scaling_up_policies=None, scheduled_tasks=None, shutdown_script=None, strategy=None, update_policy=None, user_data=None): """ Get an existing Elastigroup 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 str id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[float] desired_capacity: The desired number of instances the group should have at any time. :param pulumi.Input[list] low_priority_sizes: Available Low-Priority sizes. :param pulumi.Input[float] max_size: The maximum number of instances the group should have at any time. :param pulumi.Input[float] min_size: The minimum number of instances the group should have at any time. :param pulumi.Input[str] name: The name of the managed identity. :param pulumi.Input[list] od_sizes: Available On-Demand sizes :param pulumi.Input[str] product: Operation system type. Valid values: `"Linux"`, `"Windows"`. :param pulumi.Input[str] region: The region your Azure group will be created in. :param pulumi.Input[str] resource_group_name: The Resource Group that the user-assigned managed identity resides in. :param pulumi.Input[str] shutdown_script: Shutdown script for the group. Value should be passed as a string encoded at Base64 only. :param pulumi.Input[dict] strategy: Describes the deployment strategy. :param pulumi.Input[str] user_data: Base64-encoded MIME user data to make available to the instances. The **health_check** object supports the following: * `autoHealing` (`pulumi.Input[bool]`) * `gracePeriod` (`pulumi.Input[float]`) * `health_check_type` (`pulumi.Input[str]`) The **images** object supports the following: * `customs` (`pulumi.Input[list]`) * `imageName` (`pulumi.Input[str]`) * `resource_group_name` (`pulumi.Input[str]`) - The Resource Group that the user-assigned managed identity resides in. * `marketplaces` (`pulumi.Input[list]`) * `offer` (`pulumi.Input[str]`) * `publisher` (`pulumi.Input[str]`) * `sku` (`pulumi.Input[str]`) The **integration_kubernetes** object supports the following: * `clusterIdentifier` (`pulumi.Input[str]`) The **integration_multai_runtime** object supports the following: * `deploymentId` (`pulumi.Input[str]`) The **load_balancers** object supports the following: * `autoWeight` (`pulumi.Input[bool]`) * `balancerId` (`pulumi.Input[str]`) * `targetSetId` (`pulumi.Input[str]`) * `type` (`pulumi.Input[str]`) The **login** object supports the following: * `password` (`pulumi.Input[str]`) * `sshPublicKey` (`pulumi.Input[str]`) * `userName` (`pulumi.Input[str]`) The **managed_service_identities** object supports the following: * `name` (`pulumi.Input[str]`) - The name of the managed identity. * `resource_group_name` (`pulumi.Input[str]`) - The Resource Group that the user-assigned managed identity resides in. The **network** object supports the following: * `additionalIpConfigs` (`pulumi.Input[list]`) * `name` (`pulumi.Input[str]`) - The name of the managed identity. * `privateIpVersion` (`pulumi.Input[str]`) * `assignPublicIp` (`pulumi.Input[bool]`) * `resource_group_name` (`pulumi.Input[str]`) - The Resource Group that the user-assigned managed identity resides in. * `subnetName` (`pulumi.Input[str]`) * `virtualNetworkName` (`pulumi.Input[str]`) The **scaling_down_policies** object supports the following: * `actionType` (`pulumi.Input[str]`) * `adjustment` (`pulumi.Input[str]`) * `cooldown` (`pulumi.Input[float]`) * `dimensions` (`pulumi.Input[list]`) * `name` (`pulumi.Input[str]`) - The name of the managed identity. * `value` (`pulumi.Input[str]`) * `evaluationPeriods` (`pulumi.Input[float]`) * `maxTargetCapacity` (`pulumi.Input[str]`) * `maximum` (`pulumi.Input[str]`) * `metricName` (`pulumi.Input[str]`) * `minTargetCapacity` (`pulumi.Input[str]`) * `minimum` (`pulumi.Input[str]`) * `namespace` (`pulumi.Input[str]`) * `operator` (`pulumi.Input[str]`) * `period` (`pulumi.Input[float]`) * `policyName` (`pulumi.Input[str]`) * `statistic` (`pulumi.Input[str]`) * `target` (`pulumi.Input[str]`) * `threshold` (`pulumi.Input[float]`) * `unit` (`pulumi.Input[str]`) The **scaling_up_policies** object supports the following: * `actionType` (`pulumi.Input[str]`) * `adjustment` (`pulumi.Input[str]`) * `cooldown` (`pulumi.Input[float]`) * `dimensions` (`pulumi.Input[list]`) * `name` (`pulumi.Input[str]`) - The name of the managed identity. * `value` (`pulumi.Input[str]`) * `evaluationPeriods` (`pulumi.Input[float]`) * `maxTargetCapacity` (`pulumi.Input[str]`) * `maximum` (`pulumi.Input[str]`) * `metricName` (`pulumi.Input[str]`) * `minTargetCapacity` (`pulumi.Input[str]`) * `minimum` (`pulumi.Input[str]`) * `namespace` (`pulumi.Input[str]`) * `operator` (`pulumi.Input[str]`) * `period` (`pulumi.Input[float]`) * `policyName` (`pulumi.Input[str]`) * `statistic` (`pulumi.Input[str]`) * `target` (`pulumi.Input[str]`) * `threshold` (`pulumi.Input[float]`) * `unit` (`pulumi.Input[str]`) The **scheduled_tasks** object supports the following: * `adjustment` (`pulumi.Input[str]`) * `adjustmentPercentage` (`pulumi.Input[str]`) * `batchSizePercentage` (`pulumi.Input[str]`) * `cronExpression` (`pulumi.Input[str]`) * `gracePeriod` (`pulumi.Input[str]`) * `isEnabled` (`pulumi.Input[bool]`) * `scaleMaxCapacity` (`pulumi.Input[str]`) * `scaleMinCapacity` (`pulumi.Input[str]`) * `scaleTargetCapacity` (`pulumi.Input[str]`) * `taskType` (`pulumi.Input[str]`) The **strategy** object supports the following: * `draining_timeout` (`pulumi.Input[float]`) - Time (seconds) to allow the instance to be drained from incoming TCP connections and detached from MLB before terminating it during a scale-down operation. * `lowPriorityPercentage` (`pulumi.Input[float]`) - Percentage of Low Priority instances to maintain. Required if `od_count` is not specified. * `odCount` (`pulumi.Input[float]`) - Number of On-Demand instances to maintain. Required if low_priority_percentage is not specified. The **update_policy** object supports the following: * `rollConfig` (`pulumi.Input[dict]`) * `batchSizePercentage` (`pulumi.Input[float]`) * `gracePeriod` (`pulumi.Input[float]`) * `health_check_type` (`pulumi.Input[str]`) * `shouldRoll` (`pulumi.Input[bool]`) > This content is derived from https://github.com/terraform-providers/terraform-provider-spotinst/blob/master/website/docs/r/elastigroup_azure.html.markdown. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = dict() __props__["custom_data"] = custom_data __props__["desired_capacity"] = desired_capacity __props__["health_check"] = health_check __props__["images"] = images __props__["integration_kubernetes"] = integration_kubernetes __props__["integration_multai_runtime"] = integration_multai_runtime __props__["load_balancers"] = load_balancers __props__["login"] = login __props__["low_priority_sizes"] = low_priority_sizes __props__["managed_service_identities"] = managed_service_identities __props__["max_size"] = max_size __props__["min_size"] = min_size __props__["name"] = name __props__["network"] = network __props__["od_sizes"] = od_sizes __props__["product"] = product __props__["region"] = region __props__["resource_group_name"] = resource_group_name __props__["scaling_down_policies"] = scaling_down_policies __props__["scaling_up_policies"] = scaling_up_policies __props__["scheduled_tasks"] = scheduled_tasks __props__["shutdown_script"] = shutdown_script __props__["strategy"] = strategy __props__["update_policy"] = update_policy __props__["user_data"] = user_data return Elastigroup(resource_name, opts=opts, __props__=__props__) def translate_output_property(self, prop): return tables._CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop def translate_input_property(self, prop): return tables._SNAKE_TO_CAMEL_CASE_TABLE.get(prop) or prop

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0.129469

0.03989

0.851484

0.831953

0.828916

0.80911

0.797792

0.795169

0

0.000723

0.255863

24,177

491

598

49.240326

0.80468

0.543905

0

0.015748

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0

0.16692

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0.007874

0.047244

0.015748

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null

0

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1

0

null

0

7

408e848d85df7082b396e75a5e76a02fd4de8a2b

8,790

py

Python

python_utils/datareader/files_based.py

Fhrozen/jrm_ssl

91656e2e4d47aff2586fcbf41a9b959ba9d5d6b0

[ "MIT" ]

17

2017-02-07T04:25:32.000Z

2021-12-13T08:25:49.000Z

python_utils/datareader/files_based.py

Fhrozen/jrm_ssl

91656e2e4d47aff2586fcbf41a9b959ba9d5d6b0

[ "MIT" ]

null

python_utils/datareader/files_based.py

Fhrozen/jrm_ssl

91656e2e4d47aff2586fcbf41a9b959ba9d5d6b0

[ "MIT" ]

5

2017-10-20T03:19:24.000Z

2020-10-19T06:30:56.000Z

from __future__ import absolute_import from __future__ import division from __future__ import print_function import os, h5py, glob import numpy as np from matplotlib import pyplot as plt class hdf5_plain(object): def __init__(self, config_file): self.prefix = config_file.get('database', 'prefix') _inputs = config_file.get('data', 'labels') self._inputs = [ x for x in _inputs.split(';')] self.epochs_ = config_file.getint('train', 'epochs') self.get_db_sizes() def get_db_sizes(self): print('Looking at {} for files:'.format(self.prefix)) list_dirs = glob.glob('{}/*'.format(self.prefix)) list_file = [] index = [] first = True for i in range(len(list_dirs)): _files = glob.glob('{}/*'.format(list_dirs[i])) if first: first = False with h5py.File(_files[0], 'r') as f: _dims = [ None ] * len(self._inputs) _types = [ None ] * len(self._inputs) for j in range(len(self._inputs)): testfile= f[self._inputs[j]] _dim = testfile.shape _dims[j] = _dim if len(_dim) !=0 else [] _types[j] = testfile.dtype print(' data label:{} dim:{} dtype:{}'.format(self._inputs[j], list(_dims[j]), _types[j])) list_file += [_files] index += [[i, x] for x in np.arange(len(_files))] self._dims = _dims self._type = _types self.files = list_file self.idxs = index print(' Total of {} files on {} folders...'.format(len(self.idxs), len(self.files))) return def read_data(self, idxs, divisions): """ Data feeder from HDF5 Files idxs[,0]: Folder indx[,1]: Filename """ data_batch = np.empty((divisions),dtype=object) idx_div = np.linspace(0, len(idxs), num = divisions + 1, dtype=np.int) for i in range(divisions): batch_in = idx_div[i+1] - idx_div[i] _idxs = idxs[idx_div[i]:idx_div[i+1]] data_labels = np.empty((len(self._inputs)),dtype=object) for j in range(batch_in): iDb, iFL = _idxs[j] with h5py.File(self.files[iDb][iFL], 'r') as f: for k in range(len(self._inputs)): if j == 0: dims = [batch_in] dims += [ x for x in self._dims[k]] data_labels[k] = np.zeros(dims, dtype=self._type[k]) data_labels[k][j] = np.asarray(f[self._inputs[k]]) data_batch[i] = data_labels return data_batch class hdf5_sigmoid(object): def __init__(self, config_file): self.prefix = config_file.get('database', 'prefix') _inputs = config_file.get('data', 'labels') self._inputs = [ x for x in _inputs.split(';')] self.epochs_ = config_file.getint('train', 'epochs') self.get_db_sizes() def get_db_sizes(self): print('Looking at {} for files:'.format(self.prefix)) list_dirs = glob.glob('{}/*'.format(self.prefix)) list_file = [] index = [] first = True for i in range(len(list_dirs)): _files = glob.glob('{}/*'.format(list_dirs[i])) if first: first = False with h5py.File(_files[0], 'r') as f: _dims = [ None ] * len(self._inputs) _types = [ None ] * len(self._inputs) for j in range(len(self._inputs)): testfile= f[self._inputs[j]] _dim = testfile.shape _dims[j] = _dim if len(_dim) !=0 else [] _types[j] = testfile.dtype print(' data label:{} dim:{} dtype:{}'.format(self._inputs[j], list(_dims[j]), _types[j])) list_file += [_files] index += [[i, x] for x in np.arange(len(_files))] self._dims = _dims self._type = _types self.files = list_file self.idxs = index print(' Total of {} files on {} folders...'.format(len(self.idxs), len(self.files))) return def read_data(self, idxs, divisions): """ Data feeder from HDF5 Files idxs[,0]: Folder indx[,1]: Filename """ data_batch = np.empty((divisions),dtype=object) idx_div = np.linspace(0, len(idxs), num = divisions + 1, dtype=np.int) for i in range(divisions): batch_in = idx_div[i+1] - idx_div[i] _idxs = idxs[idx_div[i]:idx_div[i+1]] data_labels = np.empty((len(self._inputs)),dtype=object) for j in range(batch_in): iDb, iFL = _idxs[j] with h5py.File(self.files[iDb][iFL], 'r') as f: for k in range(len(self._inputs)): if j == 0: dims = [batch_in] dims += [ x for x in self._dims[k]] data_labels[k] = np.zeros(dims, dtype=self._type[k]) #tmp = np.zeros(.shape, data_labels[k][j] = np.asarray(f[self._inputs[k]]) data_batch[i] = data_labels return data_batch class hdf5_new_segment(object): def __init__(self, config_file): self.prefix = config_file.get('database', 'prefix') _inputs = config_file.get('data', 'labels') self._inputs = [ x for x in _inputs.split(';')] self.epochs_ = config_file.getint('train', 'epochs') self.get_db_sizes() def get_db_sizes(self): print('Looking at {} for files:'.format(self.prefix)) list_dirs = glob.glob('{}/*'.format(self.prefix)) list_file = [] index = [] first = True for i in range(len(list_dirs)): _files = glob.glob('{}/*'.format(list_dirs[i])) if first: first = False with h5py.File(_files[0], 'r') as f: _dims = [ None ] * len(self._inputs) _types = [ None ] * len(self._inputs) for j in range(len(self._inputs)): testfile= f[self._inputs[j]] _dim = testfile.shape _dims[j] = _dim if len(_dim) !=0 else [] _types[j] = testfile.dtype print(' data label:{} dim:{} dtype:{}'.format(self._inputs[j], list(_dims[j]), _types[j])) list_file += [_files] index += [[i, x] for x in np.arange(len(_files))] self._dims = _dims self._type = _types self.files = list_file self.idxs = index print(' Total of {} files on {} folders...'.format(len(self.idxs), len(self.files))) return def read_data(self, idxs, divisions): """ Data feeder from HDF5 Files idxs[,0]: Folder indx[,1]: Filename """ data_batch = np.empty((divisions),dtype=object) idx_div = np.linspace(0, len(idxs), num = divisions + 1, dtype=np.int) for i in range(divisions): batch_in = idx_div[i+1] - idx_div[i] _idxs = idxs[idx_div[i]:idx_div[i+1]] data_labels = np.empty((len(self._inputs)),dtype=object) for j in range(batch_in): iDb, iFL = _idxs[j] with h5py.File(self.files[iDb][iFL], 'r') as f: for k in range(len(self._inputs)): if j == 0: dims = [batch_in] if k == 0: data_labels[k] = np.zeros((batch_in,1,257,7*20), dtype=self._type[k]) else: dims += [ x for x in self._dims[k]] data_labels[k] = np.zeros(dims, dtype=self._type[k]) if k == 0: a = np.zeros((1,257,7*20), dtype=np.float32) for _fr in range(20): for _ch in range(7): a[0,:,_ch+_fr*7] = f[self._inputs[k]][_ch, :,_fr] data_labels[k][j] = a else: data_labels[k][j] = np.asarray(f[self._inputs[k]]) data_batch[i] = data_labels return data_batch

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119

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3.790521

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0.048762

0.015754

0.924231

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8,790

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44.393939

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null

0

1

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1

0

null

0

7

40a6c905ab8da8c55474d5a2be54691250e1b286

3,959

py

Python

onesignalapi/utils/http_request.py

alexromer0/onesignal-api

a5fb3acfd2fe81bc70fcf6c7b8a9216f207b409f

[ "MIT" ]

1

2018-08-14T16:32:29.000Z

onesignalapi/utils/http_request.py

alexromer0/onesignal-api

a5fb3acfd2fe81bc70fcf6c7b8a9216f207b409f

[ "MIT" ]

2

2018-11-20T22:38:43.000Z

2018-11-20T22:42:35.000Z

onesignalapi/utils/http_request.py

alexromer0/onesignal-api

a5fb3acfd2fe81bc70fcf6c7b8a9216f207b409f

[ "MIT" ]

null

import requests import json import response class HttpRequest(object): __headers = None def __init__(self, url, headers=None): self.__url = url self.__payload = {} self.response = {} if headers is not None: if isinstance(headers, dict): self.__headers = headers self.response = response.Response().success_response('ok', []) else: self.response = response.Response().error_response('The headers attribute must be a dictionary', []) raise ValueError('The headers attribute must be a dictionary') def post_request(self, data): try: if not self.__url: _response = response.Response() self.response = _response.error_response('The url is empty, please provide an url', []) else: req = requests.post(self.__url, headers=self.__headers, data=json.dumps(data)) if req.status_code == 200: res = req.json() if 'errors' not in res: _response = response.Response() self.response = _response.success_response('Ok', res) else: _response = response.Response() self.response = _response.error_response( 'Fail with a status 200, check the data for more information', res['errors']) else: _response = response.Response() self.response['error'] = _response.error_response( 'Fail with a status different than 200, check the data for more info', req.json()) return self.response except requests.exceptions.RequestException as e: _response = response.Response() self.response = _response.error_response(repr(e), []) return self.response def put_request(self, data): try: if not self.__url: _response = response.Response() self.response = _response.error_response('The url is empty, please provide an url', []) else: req = requests.put(self.__url, data=json.dumps(data), headers=self.__headers) if req.status_code == 200: _response = response.Response() self.response = _response.success_response('success', req.json()) else: _response = response.Response() self.response['error'] = _response.error_response( 'Fail with a status different than 200, check the data for more info', req.json()) return self.response except requests.exceptions.RequestException as e: _response = response.Response() self.response = _response.error_response(repr(e), []) return self.response def get_request(self, data): try: if not self.__url: _response = response.Response() self.response = _response.error_response('The url is empty, please provide an url', []) else: req = requests.get(self.__url, params=json.dumps(data)) if req.status_code == 200: _response = response.Response() self.response = _response.success_response('success', req.json()) else: _response = response.Response() self.response = _response.error_response( 'Fail with a status different than 200, check the data for more info', [req.text]) return self.response except requests.exceptions.RequestException as e: _response = response.Response() self.response = _response.error_response(repr(e), []) return self.response

43.988889

116

0.551907

397

3,959

5.314861

0.168766

0.3109

0.170616

0.172512

0.814692

0.78436

0.773934

0.73981

0.690995

0

0.008258

0.357666

3,959

89

117

44.483146

0.821471

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null

1

0

1

0

1

0

null

0

7

40cfc0b95587c5e1669ebe86a286bb9b8a8a9555

1,696

py

Python

tests/integration/scalar_fields/test_eigenvalues_scalar_fields.py

bernssolg/pyntcloud-master

84cf000b7a7f69a2c1b36f9624f05f65160bf992

[ "MIT" ]

1,142

2016-10-10T08:55:30.000Z

2022-03-30T04:46:16.000Z

tests/integration/scalar_fields/test_eigenvalues_scalar_fields.py

bernssolg/pyntcloud-master

84cf000b7a7f69a2c1b36f9624f05f65160bf992

[ "MIT" ]

195

2016-10-10T08:30:37.000Z

2022-02-17T12:51:17.000Z

tests/integration/scalar_fields/test_eigenvalues_scalar_fields.py

bernssolg/pyntcloud-master

84cf000b7a7f69a2c1b36f9624f05f65160bf992

[ "MIT" ]

215

2017-02-28T00:50:29.000Z

2022-03-22T17:01:31.000Z

import pytest import numpy as np @pytest.mark.parametrize("scalar_field_name", [ "anisotropy", "planarity" ]) @pytest.mark.usefixtures("pyntcloud_and_eigenvalues") def test_eigen_values_scalar_fields_where_coplanar_points_have_value_of_1(pyntcloud_and_eigenvalues, scalar_field_name): cloud, ev = pyntcloud_and_eigenvalues with np.errstate(divide='ignore', invalid='ignore'): scalar_field = cloud.add_scalar_field( scalar_field_name, ev=ev) scalar_field_values = cloud.points[scalar_field].values assert all(scalar_field_values[:5] == 1) assert scalar_field_values[5] < 1 @pytest.mark.parametrize("scalar_field_name", [ "curvature", "eigenentropy", "linearity", "omnivariance", "sphericity" ]) @pytest.mark.usefixtures("pyntcloud_and_eigenvalues") def test_eigen_values_scalar_fieldss_where_coplanar_points_have_value_of_0(pyntcloud_and_eigenvalues, scalar_field_name): cloud, ev = pyntcloud_and_eigenvalues with np.errstate(divide='ignore', invalid='ignore'): scalar_field = cloud.add_scalar_field( scalar_field_name, ev=ev) scalar_field_values = cloud.points[scalar_field].values assert all(scalar_field_values[:5] == 0) assert scalar_field_values[5] > 0 @pytest.mark.usefixtures("pyntcloud_and_eigenvalues") def test_eigen_sum_values(pyntcloud_and_eigenvalues): cloud, ev = pyntcloud_and_eigenvalues with np.errstate(divide='ignore', invalid='ignore'): scalar_field = cloud.add_scalar_field( "eigen_sum", ev=ev) scalar_field_values = cloud.points[scalar_field].values assert all(scalar_field_values > 0)

32.615385

121

0.733491

213

1,696

5.446009

0.220657

0.218103

0.161207

0.062069

0.867241

0.822414

0.708621

0.660345

0

0.00779

0.167453

1,696

51

122

33.254902

0.813739

0

0.571429

0

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1

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false

0

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0

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0

null

1

0

1

0

null

0

7

90d05d50ed253e2f73df9645b9eafe82ad7a45dd

34,921

py

Python

python/nbdb/store/tests/test_rollups.py

rubrikinc/nbdb2

359db63a39e016e3eb197b8ea511d6e8cffa1853

[ "Apache-2.0" ]

2

2022-03-21T15:48:33.000Z

2022-03-27T00:43:12.000Z

python/nbdb/store/tests/test_rollups.py

rubrikinc/nbdb2

359db63a39e016e3eb197b8ea511d6e8cffa1853

[ "Apache-2.0" ]

null

python/nbdb/store/tests/test_rollups.py

rubrikinc/nbdb2

359db63a39e016e3eb197b8ea511d6e8cffa1853

[ "Apache-2.0" ]

1

2022-03-27T00:43:31.000Z

""" Unittest for SparseSeriesData class """ import os import time from unittest import TestCase from unittest.mock import Mock from nbdb.common.context import Context from nbdb.common.data_point import DataPoint, MODE_ROLLUP from nbdb.common.data_point import MISSING_POINT_VALUE, TOMBSTONE_VALUE from nbdb.common.metric_parsers import CLUSTER_TAG_KEY from nbdb.common.telemetry import Telemetry from nbdb.config.settings import Settings from nbdb.schema.schema import Schema, ROLLUP_LAST, ROLLUP_MAX, ROLLUP_MEAN from nbdb.schema.schema import ROLLUP_SUM from nbdb.store.rollups import Rollups from nbdb.store.sparse_algo_selector import SparseAlgoSelector from nbdb.store.sparse_series_stats import SparseSeriesStats class TestRollups(TestCase): """ Test the write path by writing data and verifying that only sparse points that conform to appropriate smoothing are written to the db """ def setUp(self) -> None: """ Setup a partitioned mocked sparse-time-series for testing :return: """ Settings.load_yaml_settings(os.path.dirname(__file__) + '/test_settings.yaml') schema = Schema.load_from_file( os.path.dirname(__file__) + '/test_schema.yaml') self.context = Context(schema=schema) Telemetry.inst = Mock() sparse_algo_selector = SparseAlgoSelector( self.context, Settings.inst.sparse_store.sparse_telemetry, Settings.inst.realtime_metric_consumer, Mock(), MODE_ROLLUP ) self.mock_sparse_store = Mock() self.rollups = Rollups(rollup_settings=Settings.inst.sparse_store.rollups, schema=schema, sparse_store=self.mock_sparse_store, sparse_algo_selector=sparse_algo_selector) self._unit_test_real_time_clock = 0 def test_append_metric_with_mean(self) -> None: """ Test writing a metric to sparse_series_writer """ # create the stat object stat = SparseSeriesStats() self.mock_sparse_store.reset_mock() se = 3600 # 1st dp dp1 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, se, int(time.time()), 100) self.rollups.add(dp1, stat, replay_mode=False) self.assertEqual(0, stat.get_rollup_intermediate_value(3600)) self.assertEqual(0, stat.get_rollup_intermediate_value(7200)) self.assertEqual(se, stat.get_check_point(3600, 0)) self.assertEqual(0, stat.get_check_point(7200, 0)) self.assertEqual(0, self.mock_sparse_store.write.call_count) stat.set_window_value(0, dp1.value) stat.set_window_epoch(0, dp1.epoch) dp2 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, se + 200, int(time.time()), 200) self.rollups.add(dp2, stat, replay_mode=False) self.assertEqual(100*200, stat.get_rollup_intermediate_value(3600)) self.assertEqual(100*200, stat.get_rollup_intermediate_value(7200)) self.assertEqual(se, stat.get_check_point(3600)) self.assertEqual(0, stat.get_check_point(7200)) self.assertEqual(0, self.mock_sparse_store.write.call_count) stat.set_window_value(0, dp2.value) stat.set_window_epoch(0, dp2.epoch) dp3 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, 3700 + se, int(time.time()), 300) self.rollups.add(dp3, stat, replay_mode=False) self.assertEqual(200*(3700-3600), stat.get_rollup_intermediate_value(3600)) self.assertEqual(200*(3700 + se - 7200), stat.get_rollup_intermediate_value(7200)) self.assertEqual((100*200 + 200*(3600-200))/3600, stat.get_window_value(3600)) self.assertEqual((100*200 + 200*(7200-se-200))/(7200-se), stat.get_window_value(7200)) self.assertEqual(se + 3600, stat.get_check_point(3600)) self.assertEqual(7200, stat.get_check_point(7200)) # 3600 & 7200 window values must be written by now self.assertEqual(2, self.mock_sparse_store.write.call_count) stat.set_window_value(0, dp3.value) stat.set_window_epoch(0, dp3.epoch) # dp4 valid for 1 additional hour dp4 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, 7200 + se, int(time.time()), 400) self.rollups.add(dp4, stat, replay_mode=False) self.assertEqual(0, stat.get_rollup_intermediate_value(3600)) self.assertEqual(200*(3700 + se - 7200) + 3500*300, stat.get_rollup_intermediate_value(7200)) self.assertEqual((100*200 + 3500*300)/3600, stat.get_window_value(3600)) self.assertEqual((100*200 + 200*(7200-se-200))/(7200-se), stat.get_window_value(7200)) self.assertEqual(se + 7200, stat.get_check_point(3600)) self.assertEqual(7200, stat.get_check_point(7200)) # One additional value will be written for 3600 window self.assertEqual(3, self.mock_sparse_store.write.call_count) stat.set_window_value(0, dp4.value) stat.set_window_epoch(0, dp4.epoch) # dp5 comes in 1 hour after dp4 dp5 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, 10800 + se, int(time.time()), 500) self.rollups.add(dp5, stat, replay_mode=False) self.assertEqual(0, stat.get_rollup_intermediate_value(3600)) self.assertEqual(0, stat.get_rollup_intermediate_value(7200)) self.assertEqual(400, stat.get_window_value(3600)) self.assertEqual((100*200 + 3500*300 + 3600*400)/7200, stat.get_window_value(7200)) self.assertEqual(14400, stat.get_check_point(3600)) self.assertEqual(14400, stat.get_check_point(7200)) # Values for both 3600 & 7200 get written self.assertEqual(5, self.mock_sparse_store.write.call_count) stat.set_window_value(0, dp5.value) stat.set_window_epoch(0, dp5.epoch) # We get a momentary blip ie. points go missing after dp5. And about 50 # mins after dp5 value was received, dp6 appears. SparseSeriesWriter # will insert a MISSING_POINT_VALUE 10 mins after dp5 dp_missing = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, 10800 + 600 + se, int(time.time()), MISSING_POINT_VALUE, is_special_value=True) self.rollups.add(dp_missing, stat, replay_mode=False) self.assertEqual(500*600, stat.get_rollup_intermediate_value(3600)) self.assertEqual(500*600, stat.get_rollup_intermediate_value(7200)) self.assertEqual(400, stat.get_window_value(3600)) self.assertEqual((100*200 + 3500*300 + 3600*400)/7200, stat.get_window_value(7200)) self.assertEqual(14400, stat.get_check_point(3600)) self.assertEqual(14400, stat.get_check_point(7200)) self.assertEqual(5, self.mock_sparse_store.write.call_count) stat.set_window_value(0, dp_missing.value) stat.set_window_epoch(0, dp_missing.epoch) dp6 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, 10800 + 3000 + se, int(time.time()), 100) self.rollups.add(dp6, stat, replay_mode=False) self.assertEqual(500*600, stat.get_rollup_intermediate_value(3600)) self.assertEqual(500*600, stat.get_rollup_intermediate_value(7200)) self.assertEqual(400, stat.get_window_value(3600)) self.assertEqual((100*200 + 3500*300 + 3600*400)/7200, stat.get_window_value(7200)) self.assertEqual(14400, stat.get_check_point(3600)) self.assertEqual(14400, stat.get_check_point(7200)) self.assertEqual(5, self.mock_sparse_store.write.call_count) stat.set_window_value(0, dp6.value) stat.set_window_epoch(0, dp6.epoch) # Add another datapoint to complete previous window dp7 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, 14400 + se, int(time.time()), 600) self.rollups.add(dp7, stat, replay_mode=False) self.assertEqual(0, stat.get_rollup_intermediate_value(3600)) # dp5 was active for 10m and dp6 was active for 10m till dp7 arrived self.assertEqual(500 * 600 + 100 * 600, stat.get_rollup_intermediate_value(7200)) # For the 3600 window, we only had 2 non-NULL datapoints dp5 & dp6 # active for 10m each. So the avg should be 300 self.assertEqual((500+100)/2, stat.get_window_value(3600)) self.assertEqual((100*200 + 3500*300 + 3600*400)/7200, stat.get_window_value(7200)) self.assertEqual(18000, stat.get_check_point(3600)) self.assertEqual(14400, stat.get_check_point(7200)) # One additional 3600 window value should be written self.assertEqual(6, self.mock_sparse_store.write.call_count) stat.set_window_value(0, dp7.value) stat.set_window_epoch(0, dp7.epoch) # Add a tombstone value indicating the series is dead. We should # generate extra datapoints for windows with intermediate computations, # and generate tombstones for each window dp_tombstone = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, 14400 + 600 + se, int(time.time()), TOMBSTONE_VALUE, is_special_value=True) self.rollups.add(dp_tombstone, stat, replay_mode=False) # We should be storing TOMBSTONE_VALUE for next checkpoint + window self.assertEqual(TOMBSTONE_VALUE, stat.get_window_value(3600)) self.assertEqual(18000 + 3600 + 3600, stat.get_window_epoch(3600)) self.assertEqual(TOMBSTONE_VALUE, stat.get_window_value(7200)) self.assertEqual(14400 + 7200 + 7200, stat.get_window_epoch(7200)) # Four more writes should be generated: 2 writes for the intermediate # state at next_checkpoint & 2 writes for tombstone values at # next_checkpoint + 10m self.assertEqual(10, self.mock_sparse_store.write.call_count) # 3600 intermediate datapoint self.assertEqual(18000 + 3600, self.mock_sparse_store.mock_calls[-4][1][0].epoch) self.assertEqual((600*600)/600, self.mock_sparse_store.mock_calls[-4][1][0].value) self.assertTrue( self.mock_sparse_store.mock_calls[-4][1][0].datasource.endswith( '3600')) # 3600 tombstone self.assertEqual(18000 + 3600 + 3600, self.mock_sparse_store.mock_calls[-3][1][0].epoch) self.assertEqual(TOMBSTONE_VALUE, self.mock_sparse_store.mock_calls[-3][1][0].value) self.assertTrue( self.mock_sparse_store.mock_calls[-3][1][0].datasource.endswith( '3600')) # 7200 intermediate datapoint self.assertEqual(14400 + 7200, self.mock_sparse_store.mock_calls[-2][1][0].epoch) self.assertEqual((500*600 + 100*600 + 600*600)/1800, self.mock_sparse_store.mock_calls[-2][1][0].value) self.assertTrue( self.mock_sparse_store.mock_calls[-2][1][0].datasource.endswith( '7200')) # 7200 tombstone self.assertEqual(14400 + 7200 + 7200, self.mock_sparse_store.mock_calls[-1][1][0].epoch) self.assertEqual(TOMBSTONE_VALUE, self.mock_sparse_store.mock_calls[-1][1][0].value) self.assertTrue( self.mock_sparse_store.mock_calls[-1][1][0].datasource.endswith( '7200')) stat.set_window_value(0, dp_tombstone.value) stat.set_window_epoch(0, dp_tombstone.epoch) def test_missing_points_spanning_mul_windows(self) -> None: """ Test handling of missing points spanning multiple windows """ for rollup_function in [ROLLUP_MEAN, ROLLUP_MAX, ROLLUP_LAST, ROLLUP_SUM]: self.context.schema.get_rollup_function = lambda x: rollup_function # create the stat object stat = SparseSeriesStats() se = 3600 # 1st dp dp1 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, se, int(time.time()), 100) self.rollups.add(dp1, stat, replay_mode=False) # first time stats is not updated self.assertEqual(0, stat.get_rollup_intermediate_value(3600)) self.assertEqual(0, stat.get_rollup_intermediate_value(7200)) self.assertEqual(3600, stat.get_check_point(3600, 0)) self.assertEqual(0, stat.get_check_point(7200, 0)) stat.set_window_value(0, dp1.value) stat.set_window_epoch(0, dp1.epoch) dp2 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, se + 200, int(time.time()), 200) self.rollups.add(dp2, stat, replay_mode=False) if rollup_function == ROLLUP_MEAN: intermediate = 100*200 elif rollup_function == ROLLUP_MAX: intermediate = 100 elif rollup_function == ROLLUP_LAST: intermediate = 100 else: # Rollup sum intermediate = 100*200 self.assertEqual(intermediate, stat.get_rollup_intermediate_value(3600)) self.assertEqual(intermediate, stat.get_rollup_intermediate_value(7200)) self.assertEqual(se, stat.get_check_point(3600)) self.assertEqual(0, stat.get_check_point(7200)) stat.set_window_value(0, dp2.value) stat.set_window_epoch(0, dp2.epoch) # Simulate a blip which spans multiple windows. Insert a missing # point marker 10m after dp2 and another datapoint dp3 multiple # windows later dp_missing = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, se + 200 + 600, int(time.time()), MISSING_POINT_VALUE, is_special_value=True) self.rollups.add(dp_missing, stat, replay_mode=False) stat.set_window_value(0, dp_missing.value) stat.set_window_epoch(0, dp_missing.epoch) # dp3 is 4 windows away from dp3 for the 3600 rollup and 2 windows # away for the 7200 rollup dp3 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, se + 14400 + 200, int(time.time()), 300) self.rollups.add(dp3, stat, replay_mode=False) # Verify that the last window values for both windows were the # missing point marker self.assertEqual(18000, stat.get_check_point(3600)) self.assertEqual(MISSING_POINT_VALUE, stat.get_window_value(3600)) self.assertEqual(14400, stat.get_check_point(7200)) self.assertEqual(MISSING_POINT_VALUE, stat.get_window_value(7200)) def test_append_metric_with_last(self) -> None: """ Test writing a metric to sparse_series_writer """ self.context.schema.get_rollup_function = lambda x: ROLLUP_LAST # create the stat object stat = SparseSeriesStats() se = 3600 # 1st dp dp1 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, se, int(time.time()), 100) self.rollups.add(dp1, stat, replay_mode=False) # first time stats is not updated self.assertEqual(0, stat.get_rollup_intermediate_value(3600)) self.assertEqual(0, stat.get_rollup_intermediate_value(7200)) self.assertEqual(3600, stat.get_check_point(3600, 0)) self.assertEqual(0, stat.get_check_point(7200, 0)) stat.set_window_value(0, dp1.value) stat.set_window_epoch(0, dp1.epoch) dp2 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, se + 200, int(time.time()), 200) self.rollups.add(dp2, stat, replay_mode=False) self.assertEqual(100, stat.get_rollup_intermediate_value(3600)) self.assertEqual(100, stat.get_rollup_intermediate_value(7200)) self.assertEqual(3600, stat.get_check_point(3600)) self.assertEqual(0, stat.get_check_point(7200)) stat.set_window_value(0, dp2.value) stat.set_window_epoch(0, dp2.epoch) dp3 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, 3700 + se, int(time.time()), 300) self.rollups.add(dp3, stat, replay_mode=False) self.assertEqual(200, stat.get_rollup_intermediate_value(3600)) self.assertEqual(200, stat.get_rollup_intermediate_value(7200)) self.assertEqual(200, stat.get_window_value(3600)) self.assertEqual(200, stat.get_window_value(7200)) self.assertEqual(se + 3600, stat.get_check_point(3600)) self.assertEqual(7200, stat.get_check_point(7200)) stat.set_window_value(0, dp3.value) stat.set_window_epoch(0, dp3.epoch) # dp4 valid for 1 additional hour dp4 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, 7200 + se, int(time.time()), 400) self.rollups.add(dp4, stat, replay_mode=False) self.assertEqual(300, stat.get_rollup_intermediate_value(3600)) self.assertEqual(300, stat.get_rollup_intermediate_value(7200)) self.assertEqual(300, stat.get_window_value(3600)) self.assertEqual(200, stat.get_window_value(7200)) self.assertEqual(se + 7200, stat.get_check_point(3600)) self.assertEqual(7200, stat.get_check_point(7200)) stat.set_window_value(0, dp4.value) stat.set_window_epoch(0, dp4.epoch) # dp5 valid for 1 additional hour dp5 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, 10800 + se, int(time.time()), 500) self.rollups.add(dp5, stat, replay_mode=False) self.assertEqual(400, stat.get_rollup_intermediate_value(3600)) self.assertEqual(400, stat.get_rollup_intermediate_value(7200)) self.assertEqual(400, stat.get_window_value(3600)) self.assertEqual(400, stat.get_window_value(7200)) self.assertEqual(14400, stat.get_check_point(3600)) self.assertEqual(14400, stat.get_check_point(7200)) stat.set_window_value(0, dp5.value) stat.set_window_epoch(0, dp5.epoch) def test_append_metric_with_max(self) -> None: """ Test writing a metric to sparse_series_writer """ self.context.schema.get_rollup_function = lambda x: ROLLUP_MAX # create the stat object stat = SparseSeriesStats() se = 3600 # 1st dp dp1 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, se, int(time.time()), 200) self.rollups.add(dp1, stat, replay_mode=False) # first time stats is not updated self.assertEqual(0, stat.get_rollup_intermediate_value(3600)) self.assertEqual(0, stat.get_rollup_intermediate_value(7200)) self.assertEqual(3600, stat.get_check_point(3600, 0)) self.assertEqual(0, stat.get_check_point(7200, 0)) stat.set_window_value(0, dp1.value) stat.set_window_epoch(0, dp1.epoch) dp2 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, se + 200, int(time.time()), 100) self.rollups.add(dp2, stat, replay_mode=False) self.assertEqual(200, stat.get_rollup_intermediate_value(3600)) self.assertEqual(200, stat.get_rollup_intermediate_value(7200)) self.assertEqual(se, stat.get_check_point(3600)) self.assertEqual(0, stat.get_check_point(7200)) stat.set_window_value(0, dp2.value) stat.set_window_epoch(0, dp2.epoch) dp3 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, 3700 + se, int(time.time()), 300) self.rollups.add(dp3, stat, replay_mode=False) self.assertEqual(100, stat.get_rollup_intermediate_value(3600)) self.assertEqual(100, stat.get_rollup_intermediate_value(7200)) self.assertEqual(200, stat.get_window_value(3600)) self.assertEqual(200, stat.get_window_value(7200)) self.assertEqual(se + 3600, stat.get_check_point(3600)) self.assertEqual(7200, stat.get_check_point(7200)) stat.set_window_value(0, dp3.value) stat.set_window_epoch(0, dp3.epoch) # dp4 valid for 1 additional hour dp4 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, 7200 + se, int(time.time()), 400) self.rollups.add(dp4, stat, replay_mode=False) self.assertEqual(300, stat.get_rollup_intermediate_value(3600)) self.assertEqual(300, stat.get_rollup_intermediate_value(7200)) self.assertEqual(300, stat.get_window_value(3600)) self.assertEqual(200, stat.get_window_value(7200)) self.assertEqual(se + 7200, stat.get_check_point(3600)) self.assertEqual(7200, stat.get_check_point(7200)) stat.set_window_value(0, dp4.value) stat.set_window_epoch(0, dp4.epoch) # dp5 valid for 1 additional hour dp5 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, 10800 + se, int(time.time()), 500) self.rollups.add(dp5, stat, replay_mode=False) self.assertEqual(400, stat.get_rollup_intermediate_value(3600)) self.assertEqual(400, stat.get_rollup_intermediate_value(7200)) self.assertEqual(400, stat.get_window_value(3600)) self.assertEqual(400, stat.get_window_value(7200)) self.assertEqual(14400, stat.get_check_point(3600)) self.assertEqual(14400, stat.get_check_point(7200)) stat.set_window_value(0, dp5.value) stat.set_window_epoch(0, dp5.epoch) def test_rollup_with_long_sparse_point(self) -> None: """ Tests rollup when a single sparse point spans multiple rollup windows :return: """ # create the stat object stat = SparseSeriesStats() se = 3600 # 1st dp dp1 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, se, int(time.time()), 100) self.rollups.add(dp1, stat, replay_mode=False) # first time stats is not updated self.assertEqual(0, stat.get_rollup_intermediate_value(3600)) self.assertEqual(0, stat.get_rollup_intermediate_value(7200)) self.assertEqual(3600, stat.get_check_point(3600, 0)) self.assertEqual(0, stat.get_check_point(7200, 0)) stat.set_window_value(0, dp1.value) stat.set_window_epoch(0, dp1.epoch) # Next data point comes a day later, so dp1 needs to generate # multiple roll up data points dp2 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, se + 86400 + 20, int(time.time()), 200) self.rollups.add(dp2, stat, replay_mode=False) self.assertEqual(20*100, stat.get_rollup_intermediate_value(3600)) self.assertEqual(3620*100, stat.get_rollup_intermediate_value(7200)) self.assertEqual(se + 86400, stat.get_check_point(3600, 0)) self.assertEqual(86400, stat.get_check_point(7200, 0)) self.assertEqual(100, stat.get_window_value(3600)) self.assertEqual(100, stat.get_window_value(7200)) stat.set_window_value(0, dp2.value) stat.set_window_epoch(0, dp2.epoch) def test_rollups_replay_mode(self) -> None: """ Test rollups during replay mode """ # Create the stat object stat = SparseSeriesStats() self.mock_sparse_store.reset_mock() # First three datapoints will be received in replay mode se = 3600 # 1st dp dp1 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, se, int(time.time()), 200) self.rollups.add(dp1, stat, replay_mode=True) # first time stats is not updated self.assertEqual(0, stat.get_rollup_intermediate_value(3600)) self.assertEqual(0, stat.get_rollup_intermediate_value(7200)) self.assertEqual(3600, stat.get_check_point(3600, 0)) self.assertEqual(0, stat.get_check_point(7200, 0)) self.assertEqual(0, self.mock_sparse_store.write.call_count) stat.set_window_value(0, dp1.value) stat.set_window_epoch(0, dp1.epoch) stat.set_replay_mode(True) dp2 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, se + 200, int(time.time()), 200) self.rollups.add(dp2, stat, replay_mode=True) self.assertEqual(200*200, stat.get_rollup_intermediate_value(3600)) self.assertEqual(200*200, stat.get_rollup_intermediate_value(7200)) self.assertEqual(se, stat.get_check_point(3600)) self.assertEqual(0, stat.get_check_point(7200)) self.assertEqual(0, self.mock_sparse_store.write.call_count) stat.set_window_value(0, dp2.value) stat.set_window_epoch(0, dp2.epoch) stat.set_replay_mode(True) dp3 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, 3700 + se, int(time.time()), 200) self.rollups.add(dp3, stat, replay_mode=True) self.assertEqual(200*(3700-3600), stat.get_rollup_intermediate_value(3600)) self.assertEqual(200*(3700 + se - 7200), stat.get_rollup_intermediate_value(7200)) self.assertEqual((200*200 + 200*(3600-200))/3600, stat.get_window_value(3600)) self.assertEqual((200*200 + 200*(7200-se-200))/(7200-se), stat.get_window_value(7200)) self.assertEqual(se + 3600, stat.get_check_point(3600)) self.assertEqual(7200, stat.get_check_point(7200)) # Even though window values were generated for both 3600 and 7200, no # writes should be done since dp3 was received in replay mode self.assertEqual(0, self.mock_sparse_store.write.call_count) stat.set_window_value(0, dp3.value) stat.set_window_epoch(0, dp3.epoch) stat.set_replay_mode(True) # dp4 comes 1 hour after dp3 and is the first non-replay message. # Even though the 3600 rollup value generated is the same as before, it # will be written because it's the first value after transition from # replay mode to non-replay mode dp4 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, 7300 + se, int(time.time()), 200) self.rollups.add(dp4, stat, replay_mode=False) self.assertEqual(200*100, stat.get_rollup_intermediate_value(3600)) self.assertEqual(200*100 + 200*(7300-3700), stat.get_rollup_intermediate_value(7200)) self.assertEqual((100*200 + 200*(7200-3700))/3600, stat.get_window_value(3600)) self.assertEqual((200*100 + 200*(7200-3700))/(7200-se), stat.get_window_value(7200)) self.assertEqual(se + 7200, stat.get_check_point(3600)) self.assertEqual(7200, stat.get_check_point(7200)) # Even though the 3600 rollup value is the same as the last time, it # should still be written self.assertEqual(1, self.mock_sparse_store.write.call_count) stat.set_window_value(0, dp4.value) stat.set_window_epoch(0, dp4.epoch) stat.set_replay_mode(False) def test_single_datapoint_series(self) -> None: """ Test writing a series to sparse_series_writer which generates a single datapoint in its lifetime """ # create the stat object stat = SparseSeriesStats() self.mock_sparse_store.reset_mock() se = 3800 # 1st dp dp1 = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, se, int(time.time()), 100) self.rollups.add(dp1, stat, replay_mode=False) self.assertEqual(0, stat.get_rollup_intermediate_value(3600)) self.assertEqual(0, stat.get_rollup_intermediate_value(7200)) self.assertEqual(3600, stat.get_check_point(3600, 0)) self.assertEqual(0, stat.get_check_point(7200, 0)) self.assertEqual(0, self.mock_sparse_store.write.call_count) stat.set_window_value(0, dp1.value) stat.set_window_epoch(0, dp1.epoch) # Add a tombstone value indicating the series is dead. We should # generate extra datapoints for windows with intermediate computations, # and generate tombstones for each window dp_tombstone = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, se + 600, int(time.time()), TOMBSTONE_VALUE, is_special_value=True) self.rollups.add(dp_tombstone, stat, replay_mode=False) # We should be storing TOMBSTONE_VALUE for next checkpoint + window self.assertEqual(TOMBSTONE_VALUE, stat.get_window_value(3600)) self.assertEqual(3600 + 2*3600, stat.get_window_epoch(3600)) self.assertEqual(TOMBSTONE_VALUE, stat.get_window_value(7200)) self.assertEqual(7200 + 7200, stat.get_window_epoch(7200)) # Four writes should be generated: 2 writes for the intermediate # state at next_checkpoint & 2 writes for tombstone values at # next_checkpoint + 10m self.assertEqual(4, self.mock_sparse_store.write.call_count) # 3600 intermediate datapoint self.assertEqual(3600 + 3600, self.mock_sparse_store.mock_calls[-4][1][0].epoch) self.assertEqual((100*600)/600, self.mock_sparse_store.mock_calls[-4][1][0].value) self.assertTrue( self.mock_sparse_store.mock_calls[-4][1][0].datasource.endswith( '3600')) # 3600 tombstone self.assertEqual(3600 + 2*3600, self.mock_sparse_store.mock_calls[-3][1][0].epoch) self.assertEqual(TOMBSTONE_VALUE, self.mock_sparse_store.mock_calls[-3][1][0].value) self.assertTrue( self.mock_sparse_store.mock_calls[-3][1][0].datasource.endswith( '3600')) # 7200 intermediate datapoint self.assertEqual(7200, self.mock_sparse_store.mock_calls[-2][1][0].epoch) self.assertEqual((100*600)/600, self.mock_sparse_store.mock_calls[-2][1][0].value) self.assertTrue( self.mock_sparse_store.mock_calls[-2][1][0].datasource.endswith( '7200')) # 7200 tombstone self.assertEqual(7200 + 7200, self.mock_sparse_store.mock_calls[-1][1][0].epoch) self.assertEqual(TOMBSTONE_VALUE, self.mock_sparse_store.mock_calls[-1][1][0].value) self.assertTrue( self.mock_sparse_store.mock_calls[-1][1][0].datasource.endswith( '7200')) stat.set_window_value(0, dp_tombstone.value) stat.set_window_epoch(0, dp_tombstone.epoch) def test_partial_windows_on_both_ends(self) -> None: """ Simulate a series whose start & end time result in partial windows at the beginning & end. We should not drop the partial windows """ # create the stat object stat = SparseSeriesStats() self.mock_sparse_store.reset_mock() se = 3800 # Use sum() for computing rollups self.context.schema.get_rollup_function = lambda x: ROLLUP_SUM # Generate multiple datapoints at regular 10m frequency for epoch in range(se, 10800 + 1800, 600): dp = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, epoch, int(time.time()), 100) self.rollups.add(dp, stat, replay_mode=False) stat.set_window_value(0, dp.value) stat.set_window_epoch(0, dp.epoch) # Add a tombstone value indicating the series is dead. We should # generate extra datapoints for windows with intermediate computations, # and generate tombstones for each window dp_tombstone = DataPoint('m', 'f', {CLUSTER_TAG_KEY: '0'}, 10800 + 1800, int(time.time()), TOMBSTONE_VALUE, is_special_value=True) self.rollups.add(dp_tombstone, stat, replay_mode=False) # We should see 4 writes for the 3600 window and 3 writes for the 7200 # window self.assertEqual(7, self.mock_sparse_store.write.call_count) rollup_dps_3600 = [call[1][0] for call in self.mock_sparse_store.mock_calls if call[1][0].datasource.endswith('3600')] rollup_dps_7200 = [call[1][0] for call in self.mock_sparse_store.mock_calls if call[1][0].datasource.endswith('7200')] # Verify that we generated the following values for the 3600 # datasource: # # Epoch 7200: 340000 # Epoch 10800: 360000 # Epoch 14400: 180000 # Epoch 18000: TOMBSTONE self.assertEqual(rollup_dps_3600[0].epoch, 7200) self.assertEqual(rollup_dps_3600[0].value, 100*(7200-se)) self.assertEqual(rollup_dps_3600[1].epoch, 7200 + 3600) self.assertEqual(rollup_dps_3600[1].value, 100*3600) self.assertEqual(rollup_dps_3600[2].epoch, 7200 + 2*3600) self.assertEqual(rollup_dps_3600[2].value, 100*1800) self.assertEqual(rollup_dps_3600[3].epoch, 7200 + 3*3600) self.assertEqual(rollup_dps_3600[3].value, TOMBSTONE_VALUE) # Verify that we generated the following values for the 7200 # datasource: # # Epoch 7200: 340000 # Epoch 14400: 540000 # Epoch 18000: TOMBSTONE self.assertEqual(rollup_dps_7200[0].epoch, 7200) self.assertEqual(rollup_dps_7200[0].value, 100*(7200-se)) self.assertEqual(rollup_dps_7200[1].epoch, 7200 + 7200) self.assertEqual(rollup_dps_7200[1].value, 100*(10800+1800-7200)) self.assertEqual(rollup_dps_7200[2].epoch, 7200 + 2*7200) self.assertEqual(rollup_dps_7200[2].value, TOMBSTONE_VALUE)

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0

7

90f0f5ee35b66ef32c8c4bb188c517945ed52cfe

143,232

py

Python

fireant/tests/widgets/test_highcharts.py

RobinPapke/fireant

822a5306b981549cb21a508a9b35729ecb8af6ec

[ "Apache-2.0" ]

2

2019-05-12T15:14:52.000Z

2020-05-28T07:13:34.000Z

fireant/tests/widgets/test_highcharts.py

RobinPapke/fireant

822a5306b981549cb21a508a9b35729ecb8af6ec

[ "Apache-2.0" ]

null

fireant/tests/widgets/test_highcharts.py

RobinPapke/fireant

822a5306b981549cb21a508a9b35729ecb8af6ec

[ "Apache-2.0" ]

null

from unittest import TestCase import pandas as pd from fireant import CumSum, Rollup from fireant.tests.dataset.mocks import ( ElectionOverElection, day, dimx0_metricx1_df, dimx0_metricx2_df, dimx1_date_df, dimx1_date_meticx1_votes_df, dimx1_date_operation_df, dimx1_num_df, dimx1_str_df, dimx1_str_totals_df, dimx2_date_index_str_df, dimx2_date_num_df, dimx2_date_str_df, dimx2_date_str_ref_delta_df, dimx2_date_str_ref_df, dimx2_date_str_totals_df, dimx2_date_str_totalsx2_df, dimx2_str_num_df, dimx2_category_index_str_df, mock_dataset, year, ) from fireant.widgets.highcharts import DEFAULT_COLORS, HighCharts class HighChartsLineChartTransformerTests(TestCase): maxDiff = None chart_class = HighCharts.LineSeries chart_type = "line" stacking = None def test_dimx1_metricx1(self): result = ( HighCharts(title="Time Series, Single Metric") .axis(self.chart_class(mock_dataset.fields.votes)) .transform(dimx1_date_df, mock_dataset, [mock_dataset.fields.timestamp], []) ) self.assertEqual( { "title": {"text": "Time Series, Single Metric"}, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "title": {"text": None}, "labels": {"style": {"color": None}}, "visible": True, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "type": self.chart_type, "name": "Votes", "yAxis": "0", "data": [ (820454400000, 15220449), (946684800000, 16662017), (1072915200000, 19614932), (1199145600000, 21294215), (1325376000000, 20572210), (1451606400000, 18310513), ], "tooltip": { "valuePrefix": None, "valueSuffix": None, "valueDecimals": None, }, "color": "#DDDF0D", "marker": {"symbol": "circle", "fillColor": "#DDDF0D"}, "dashStyle": "Solid", "stacking": self.stacking, } ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_dimx1_year(self): result = ( HighCharts(title="Time Series, Single Metric") .axis(self.chart_class(mock_dataset.fields.votes)) .transform( dimx1_date_df, mock_dataset, [year(mock_dataset.fields.timestamp)], [] ) ) self.assertEqual( { "title": {"text": "Time Series, Single Metric"}, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "title": {"text": None}, "labels": {"style": {"color": None}}, "visible": True, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "type": self.chart_type, "name": "Votes", "yAxis": "0", "data": [ (820454400000, 15220449), (946684800000, 16662017), (1072915200000, 19614932), (1199145600000, 21294215), (1325376000000, 20572210), (1451606400000, 18310513), ], "tooltip": { "valuePrefix": None, "valueSuffix": None, "valueDecimals": None, }, "color": "#DDDF0D", "marker": {"symbol": "circle", "fillColor": "#DDDF0D"}, "dashStyle": "Solid", "stacking": self.stacking, } ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_dimx1_metricx1_suffix(self): result = ( HighCharts(title="Time Series, Single Metric") .axis(self.chart_class(mock_dataset.fields.turnout)) .transform(dimx1_date_df, mock_dataset, [mock_dataset.fields.timestamp], []) ) self.assertEqual( { "title": {"text": "Time Series, Single Metric"}, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "title": {"text": None}, "labels": {"style": {"color": None}}, "visible": True, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "type": self.chart_type, "name": "Turnout", "yAxis": "0", "data": [ (820454400000, 50), (946684800000, 50), (1072915200000, 50), (1199145600000, 50), (1325376000000, 50), (1451606400000, 50), ], "tooltip": { "valuePrefix": None, "valueSuffix": "%", "valueDecimals": 2, }, "color": "#DDDF0D", "marker": {"symbol": "circle", "fillColor": "#DDDF0D"}, "dashStyle": "Solid", "stacking": self.stacking, } ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_dimx1_metricx1_prefix_precision(self): result = ( HighCharts(title="Time Series, Single Metric") .axis(self.chart_class(mock_dataset.fields.wins_with_style)) .transform(dimx1_date_df, mock_dataset, [mock_dataset.fields.timestamp], []) ) self.assertEqual( { "title": {"text": "Time Series, Single Metric"}, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "title": {"text": None}, "labels": {"style": {"color": None}}, "visible": True, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "type": self.chart_type, "name": "Wins", "yAxis": "0", "data": [ (820454400000, 2), (946684800000, 2), (1072915200000, 2), (1199145600000, 2), (1325376000000, 2), (1451606400000, 2), ], "tooltip": { "valuePrefix": "$", "valueSuffix": None, "valueDecimals": 0, }, "color": "#DDDF0D", "marker": {"symbol": "circle", "fillColor": "#DDDF0D"}, "dashStyle": "Solid", "stacking": self.stacking, } ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_single_operation_line_chart(self): result = ( HighCharts(title="Time Series, Single Metric") .axis(self.chart_class(CumSum(mock_dataset.fields.votes))) .transform( dimx1_date_operation_df, mock_dataset, [mock_dataset.fields.timestamp], [], ) ) self.assertEqual( { "title": {"text": "Time Series, Single Metric"}, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "title": {"text": None}, "labels": {"style": {"color": None}}, "visible": True, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "type": self.chart_type, "name": "CumSum(Votes)", "yAxis": "0", "data": [ (820454400000, 15220449), (946684800000, 31882466), (1072915200000, 51497398), (1199145600000, 72791613), (1325376000000, 93363823), (1451606400000, 111674336), ], "tooltip": { "valuePrefix": None, "valueSuffix": None, "valueDecimals": None, }, "color": "#DDDF0D", "marker": {"symbol": "circle", "fillColor": "#DDDF0D"}, "dashStyle": "Solid", "stacking": self.stacking, } ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_single_metric_with_uni_dim_line_chart(self): dimensions = [mock_dataset.fields.timestamp, mock_dataset.fields.state] result = ( HighCharts(title="Time Series with Unique Dimension and Single Metric") .axis(self.chart_class(mock_dataset.fields.votes)) .transform(dimx2_date_str_df, mock_dataset, dimensions, []) ) self.assertEqual( { "title": { "text": "Time Series with Unique Dimension and Single Metric" }, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "labels": {"style": {"color": None}}, "title": {"text": None}, "visible": True, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "color": "#DDDF0D", "dashStyle": "Solid", "data": [ (820454400000, 7579518), (946684800000, 8294949), (1072915200000, 9578189), (1199145600000, 11803106), (1325376000000, 12424128), (1451606400000, 4871678), ], "marker": {"fillColor": "#DDDF0D", "symbol": "circle"}, "name": "Votes (Democrat)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#55BF3B", "dashStyle": "Solid", "data": [(820454400000, 1076384)], "marker": {"fillColor": "#DDDF0D", "symbol": "square"}, "name": "Votes (Independent)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#DF5353", "dashStyle": "Solid", "data": [ (820454400000, 6564547), (946684800000, 8367068), (1072915200000, 10036743), (1199145600000, 9491109), (1325376000000, 8148082), (1451606400000, 13438835), ], "marker": {"fillColor": "#DDDF0D", "symbol": "diamond"}, "name": "Votes (Republican)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_multi_metrics_single_axis_line_chart(self): result = ( HighCharts(title="Time Series with Unique Dimension and Multiple Metrics") .axis( self.chart_class(mock_dataset.fields.votes), self.chart_class(mock_dataset.fields.wins), ) .transform( dimx2_date_str_df, mock_dataset, [mock_dataset.fields.timestamp, mock_dataset.fields.state], [], ) ) self.assertEqual( { "title": { "text": "Time Series with Unique Dimension and Multiple Metrics" }, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "labels": {"style": {"color": "#DDDF0D"}}, "title": {"text": None}, "visible": True, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "color": "#DDDF0D", "dashStyle": "Solid", "data": [ (820454400000, 7579518), (946684800000, 8294949), (1072915200000, 9578189), (1199145600000, 11803106), (1325376000000, 12424128), (1451606400000, 4871678), ], "marker": {"fillColor": "#DDDF0D", "symbol": "circle"}, "name": "Votes (Democrat)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#55BF3B", "dashStyle": "Solid", "data": [(820454400000, 1076384)], "marker": {"fillColor": "#DDDF0D", "symbol": "square"}, "name": "Votes (Independent)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#DF5353", "dashStyle": "Solid", "data": [ (820454400000, 6564547), (946684800000, 8367068), (1072915200000, 10036743), (1199145600000, 9491109), (1325376000000, 8148082), (1451606400000, 13438835), ], "marker": {"fillColor": "#DDDF0D", "symbol": "diamond"}, "name": "Votes (Republican)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#7798BF", "dashStyle": "Solid", "data": [ (820454400000, 2), (946684800000, 0), (1072915200000, 0), (1199145600000, 2), (1325376000000, 2), (1451606400000, 0), ], "marker": {"fillColor": "#DDDF0D", "symbol": "circle"}, "name": "Wins (Democrat)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#AAEEEE", "dashStyle": "Solid", "data": [(820454400000, 0)], "marker": {"fillColor": "#DDDF0D", "symbol": "square"}, "name": "Wins (Independent)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#FF0066", "dashStyle": "Solid", "data": [ (820454400000, 0), (946684800000, 2), (1072915200000, 2), (1199145600000, 0), (1325376000000, 0), (1451606400000, 2), ], "marker": {"fillColor": "#DDDF0D", "symbol": "diamond"}, "name": "Wins (Republican)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_multi_metrics_multi_axis_line_chart(self): result = ( HighCharts( title="Time Series with Unique Dimension and Multiple Metrics, Multi-Axis" ) .axis(self.chart_class(mock_dataset.fields.votes)) .axis(self.chart_class(mock_dataset.fields.wins)) .transform( dimx2_date_str_df, mock_dataset, [mock_dataset.fields.timestamp, mock_dataset.fields.state], [], ) ) self.assertEqual( { "title": { "text": "Time Series with Unique Dimension and Multiple Metrics, Multi-Axis" }, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "1", "labels": {"style": {"color": "#7798BF"}}, "title": {"text": None}, "visible": True, }, { "id": "0", "labels": {"style": {"color": "#DDDF0D"}}, "title": {"text": None}, "visible": True, }, ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "color": "#DDDF0D", "dashStyle": "Solid", "data": [ (820454400000, 7579518), (946684800000, 8294949), (1072915200000, 9578189), (1199145600000, 11803106), (1325376000000, 12424128), (1451606400000, 4871678), ], "marker": {"fillColor": "#DDDF0D", "symbol": "circle"}, "name": "Votes (Democrat)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#55BF3B", "dashStyle": "Solid", "data": [(820454400000, 1076384)], "marker": {"fillColor": "#DDDF0D", "symbol": "square"}, "name": "Votes (Independent)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#DF5353", "dashStyle": "Solid", "data": [ (820454400000, 6564547), (946684800000, 8367068), (1072915200000, 10036743), (1199145600000, 9491109), (1325376000000, 8148082), (1451606400000, 13438835), ], "marker": {"fillColor": "#DDDF0D", "symbol": "diamond"}, "name": "Votes (Republican)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#7798BF", "dashStyle": "Solid", "data": [ (820454400000, 2), (946684800000, 0), (1072915200000, 0), (1199145600000, 2), (1325376000000, 2), (1451606400000, 0), ], "marker": {"fillColor": "#7798BF", "symbol": "circle"}, "name": "Wins (Democrat)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "1", }, { "color": "#AAEEEE", "dashStyle": "Solid", "data": [(820454400000, 0)], "marker": {"fillColor": "#7798BF", "symbol": "square"}, "name": "Wins (Independent)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "1", }, { "color": "#FF0066", "dashStyle": "Solid", "data": [ (820454400000, 0), (946684800000, 2), (1072915200000, 2), (1199145600000, 0), (1325376000000, 0), (1451606400000, 2), ], "marker": {"fillColor": "#7798BF", "symbol": "diamond"}, "name": "Wins (Republican)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "1", }, ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_multi_dim_with_totals_line_chart_and_empty_data(self): dataframe = ( pd.DataFrame() .from_dict( { "$timestamp": ["~~totals"], "$political_party": ["~~totals"], "$votes": [None], "$wins": [None], "$wins_with_style": [None], "$turnout": [None], } ) .set_index(dimx2_date_str_totals_df.index.names) ) result = ( HighCharts( title="Time Series with Unique Dimension and Multiple Metrics, Multi-Axis" ) .axis(self.chart_class(mock_dataset.fields.votes)) .axis(self.chart_class(mock_dataset.fields.wins)) .transform( dataframe, mock_dataset, [mock_dataset.fields.timestamp, Rollup(mock_dataset.fields.state)], [], ) ) self.assertEqual( result, { "title": { "text": "Time Series with Unique Dimension and Multiple Metrics, Multi-Axis" }, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "1", "title": {"text": None}, "labels": {"style": {"color": "#55BF3B"}}, "visible": True, }, { "id": "0", "title": {"text": None}, "labels": {"style": {"color": "#DDDF0D"}}, "visible": True, }, ], "annotations": [], "colors": ( "#DDDF0D", "#55BF3B", "#DF5353", "#7798BF", "#AAEEEE", "#FF0066", "#EEAAEE", "#DF5353", "#7798BF", "#AAEEEE", ), "series": [ { "type": self.chart_type, "name": "Votes (Totals)", "data": [], "tooltip": { "valuePrefix": None, "valueSuffix": None, "valueDecimals": None, }, "yAxis": "0", "marker": {"symbol": "circle", "fillColor": "#DDDF0D"}, "stacking": self.stacking, "color": "#DDDF0D", "dashStyle": "Solid", }, { "type": self.chart_type, "name": "Wins (Totals)", "data": [], "tooltip": { "valuePrefix": None, "valueSuffix": None, "valueDecimals": None, }, "yAxis": "1", "marker": {"symbol": "circle", "fillColor": "#55BF3B"}, "stacking": self.stacking, "color": "#55BF3B", "dashStyle": "Solid", }, ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, }, ) def test_multi_dim_with_totals_line_chart(self): result = ( HighCharts( title="Time Series with Unique Dimension and Multiple Metrics, Multi-Axis" ) .axis(self.chart_class(mock_dataset.fields.votes)) .axis(self.chart_class(mock_dataset.fields.wins)) .transform( dimx2_date_str_totals_df, mock_dataset, [mock_dataset.fields.timestamp, Rollup(mock_dataset.fields.state)], [], ) ) self.assertEqual( { "title": { "text": "Time Series with Unique Dimension and Multiple Metrics, Multi-Axis" }, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "1", "labels": {"style": {"color": "#AAEEEE"}}, "title": {"text": None}, "visible": True, }, { "id": "0", "labels": {"style": {"color": "#DDDF0D"}}, "title": {"text": None}, "visible": True, }, ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "color": "#DDDF0D", "dashStyle": "Solid", "data": [ (820454400000, 7579518), (946684800000, 8294949), (1072915200000, 9578189), (1199145600000, 11803106), (1325376000000, 12424128), (1451606400000, 4871678), ], "marker": {"fillColor": "#DDDF0D", "symbol": "circle"}, "name": "Votes (Democrat)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#55BF3B", "dashStyle": "Solid", "data": [(820454400000, 1076384)], "marker": {"fillColor": "#DDDF0D", "symbol": "square"}, "name": "Votes (Independent)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#DF5353", "dashStyle": "Solid", "data": [ (820454400000, 6564547), (946684800000, 8367068), (1072915200000, 10036743), (1199145600000, 9491109), (1325376000000, 8148082), (1451606400000, 13438835), ], "marker": {"fillColor": "#DDDF0D", "symbol": "diamond"}, "name": "Votes (Republican)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#7798BF", "dashStyle": "Solid", "data": [ (820454400000, 15220449), (946684800000, 16662017), (1072915200000, 19614932), (1199145600000, 21294215), (1325376000000, 20572210), (1451606400000, 18310513), ], "marker": {"fillColor": "#DDDF0D", "symbol": "triangle"}, "name": "Votes (Totals)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#AAEEEE", "dashStyle": "Solid", "data": [ (820454400000, 2), (946684800000, 0), (1072915200000, 0), (1199145600000, 2), (1325376000000, 2), (1451606400000, 0), ], "marker": {"fillColor": "#AAEEEE", "symbol": "circle"}, "name": "Wins (Democrat)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "1", }, { "color": "#FF0066", "dashStyle": "Solid", "data": [(820454400000, 0)], "marker": {"fillColor": "#AAEEEE", "symbol": "square"}, "name": "Wins (Independent)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "1", }, { "color": "#EEAAEE", "dashStyle": "Solid", "data": [ (820454400000, 0), (946684800000, 2), (1072915200000, 2), (1199145600000, 0), (1325376000000, 0), (1451606400000, 2), ], "marker": {"fillColor": "#AAEEEE", "symbol": "diamond"}, "name": "Wins (Republican)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "1", }, { "color": "#DF5353", "dashStyle": "Solid", "data": [ (820454400000, 2), (946684800000, 2), (1072915200000, 2), (1199145600000, 2), (1325376000000, 2), (1451606400000, 2), ], "marker": {"fillColor": "#AAEEEE", "symbol": "triangle"}, "name": "Wins (Totals)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "1", }, ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_multi_dim_with_totals_on_first_dim_line_chart(self): result = ( HighCharts( title="Time Series with Unique Dimension and Multiple Metrics, Multi-Axis" ) .axis(self.chart_class(mock_dataset.fields.votes)) .axis(self.chart_class(mock_dataset.fields.wins)) .transform( dimx2_date_str_totalsx2_df, mock_dataset, [ Rollup(mock_dataset.fields.timestamp), Rollup(mock_dataset.fields.state), ], [], ) ) self.assertEqual( { "title": { "text": "Time Series with Unique Dimension and Multiple Metrics, Multi-Axis" }, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "1", "labels": {"style": {"color": "#AAEEEE"}}, "title": {"text": None}, "visible": True, }, { "id": "0", "labels": {"style": {"color": "#DDDF0D"}}, "title": {"text": None}, "visible": True, }, ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "color": "#DDDF0D", "dashStyle": "Solid", "data": [ (820454400000, 7579518), (946684800000, 8294949), (1072915200000, 9578189), (1199145600000, 11803106), (1325376000000, 12424128), (1451606400000, 4871678), ], "marker": {"fillColor": "#DDDF0D", "symbol": "circle"}, "name": "Votes (Democrat)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#55BF3B", "dashStyle": "Solid", "data": [(820454400000, 1076384)], "marker": {"fillColor": "#DDDF0D", "symbol": "square"}, "name": "Votes (Independent)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#DF5353", "dashStyle": "Solid", "data": [ (820454400000, 6564547), (946684800000, 8367068), (1072915200000, 10036743), (1199145600000, 9491109), (1325376000000, 8148082), (1451606400000, 13438835), ], "marker": {"fillColor": "#DDDF0D", "symbol": "diamond"}, "name": "Votes (Republican)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#7798BF", "dashStyle": "Solid", "data": [ (820454400000, 15220449), (946684800000, 16662017), (1072915200000, 19614932), (1199145600000, 21294215), (1325376000000, 20572210), (1451606400000, 18310513), ], "marker": {"fillColor": "#DDDF0D", "symbol": "triangle"}, "name": "Votes (Totals)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#AAEEEE", "dashStyle": "Solid", "data": [ (820454400000, 2), (946684800000, 0), (1072915200000, 0), (1199145600000, 2), (1325376000000, 2), (1451606400000, 0), ], "marker": {"fillColor": "#AAEEEE", "symbol": "circle"}, "name": "Wins (Democrat)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "1", }, { "color": "#FF0066", "dashStyle": "Solid", "data": [(820454400000, 0)], "marker": {"fillColor": "#AAEEEE", "symbol": "square"}, "name": "Wins (Independent)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "1", }, { "color": "#EEAAEE", "dashStyle": "Solid", "data": [ (820454400000, 0), (946684800000, 2), (1072915200000, 2), (1199145600000, 0), (1325376000000, 0), (1451606400000, 2), ], "marker": {"fillColor": "#AAEEEE", "symbol": "diamond"}, "name": "Wins (Republican)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "1", }, { "color": "#DF5353", "dashStyle": "Solid", "data": [ (820454400000, 2), (946684800000, 2), (1072915200000, 2), (1199145600000, 2), (1325376000000, 2), (1451606400000, 2), ], "marker": {"fillColor": "#AAEEEE", "symbol": "triangle"}, "name": "Wins (Totals)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "1", }, ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_uni_dim_with_ref_line_chart(self): dimensions = [mock_dataset.fields.timestamp, mock_dataset.fields.state] references = [ElectionOverElection(mock_dataset.fields.timestamp)] result = ( HighCharts(title="Time Series with Unique Dimension and Reference") .axis(self.chart_class(mock_dataset.fields.votes)) .transform(dimx2_date_str_ref_df, mock_dataset, dimensions, references) ) self.assertEqual( { "title": {"text": "Time Series with Unique Dimension and Reference"}, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "labels": {"style": {"color": None}}, "title": {"text": None}, "visible": True, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "color": "#DDDF0D", "dashStyle": "Solid", "data": [ (820454400000, 6564547), (946684800000, 8367068), (1072915200000, 10036743), (1199145600000, 9491109), (1325376000000, 8148082), (1451606400000, 13438835), ], "marker": {"fillColor": "#DDDF0D", "symbol": "circle"}, "name": "Votes (Republican)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#DDDF0D", "dashStyle": "Dash", "data": [ (820454400000, 7579518.0), (946684800000, 6564547.0), (1072915200000, 8367068.0), (1199145600000, 10036743.0), (1325376000000, 9491109.0), (1451606400000, 8148082.0), ], "marker": {"fillColor": "#DDDF0D", "symbol": "circle"}, "name": "Votes EoE (Republican)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#55BF3B", "dashStyle": "Solid", "data": [ (946684800000, 8294949), (1072915200000, 9578189), (1199145600000, 11803106), (1325376000000, 12424128), (1451606400000, 4871678), ], "marker": {"fillColor": "#DDDF0D", "symbol": "square"}, "name": "Votes (Democrat)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#55BF3B", "dashStyle": "Dash", "data": [ (946684800000, 1076384.0), (1072915200000, 8294949.0), (1199145600000, 9578189.0), (1325376000000, 11803106.0), (1451606400000, 12424128.0), ], "marker": {"fillColor": "#DDDF0D", "symbol": "square"}, "name": "Votes EoE (Democrat)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_uni_dim_with_ref_delta_line_chart(self): dimensions = [mock_dataset.fields.timestamp, mock_dataset.fields.state] references = [ElectionOverElection(mock_dataset.fields.timestamp, delta=True)] result = ( HighCharts(title="Time Series with Unique Dimension and Delta Reference") .axis(self.chart_class(mock_dataset.fields.votes)) .transform( dimx2_date_str_ref_delta_df, mock_dataset, dimensions, references ) ) self.assertEqual( { "title": { "text": "Time Series with Unique Dimension and Delta Reference" }, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "labels": {"style": {"color": None}}, "title": {"text": None}, "visible": True, }, { "id": "0_eoe_delta", "labels": {"style": {"color": None}}, "opposite": True, "title": {"text": "EoE Δ"}, "visible": True, }, ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "color": "#DDDF0D", "dashStyle": "Solid", "data": [ (820454400000, 6564547), (946684800000, 8367068), (1072915200000, 10036743), (1199145600000, 9491109), (1325376000000, 8148082), (1451606400000, 13438835), ], "marker": {"fillColor": "#DDDF0D", "symbol": "circle"}, "name": "Votes (Republican)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#DDDF0D", "dashStyle": "Dash", "data": [ (820454400000, 1014971.0), (946684800000, -1802521.0), (1072915200000, -1669675.0), (1199145600000, 545634.0), (1325376000000, 1343027.0), (1451606400000, -5290753.0), ], "marker": {"fillColor": "#DDDF0D", "symbol": "circle"}, "name": "Votes EoE Δ (Republican)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0_eoe_delta", }, { "color": "#55BF3B", "dashStyle": "Solid", "data": [ (946684800000, 8294949), (1072915200000, 9578189), (1199145600000, 11803106), (1325376000000, 12424128), (1451606400000, 4871678), ], "marker": {"fillColor": "#DDDF0D", "symbol": "square"}, "name": "Votes (Democrat)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#55BF3B", "dashStyle": "Dash", "data": [ (946684800000, -7218565.0), (1072915200000, -1283240.0), (1199145600000, -2224917.0), (1325376000000, -621022.0), (1451606400000, 7552450.0), ], "marker": {"fillColor": "#DDDF0D", "symbol": "square"}, "name": "Votes EoE Δ (Democrat)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0_eoe_delta", }, ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_invisible_y_axis(self): result = ( HighCharts(title="Time Series, Single Metric") .axis(self.chart_class(mock_dataset.fields.votes), y_axis_visible=False) .transform(dimx1_date_df, mock_dataset, [mock_dataset.fields.timestamp], []) ) self.assertEqual( { "title": {"text": "Time Series, Single Metric"}, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "title": {"text": None}, "labels": {"style": {"color": None}}, "visible": False, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "type": self.chart_type, "name": "Votes", "yAxis": "0", "data": [ (820454400000, 15220449), (946684800000, 16662017), (1072915200000, 19614932), (1199145600000, 21294215), (1325376000000, 20572210), (1451606400000, 18310513), ], "tooltip": { "valuePrefix": None, "valueSuffix": None, "valueDecimals": None, }, "color": "#DDDF0D", "marker": {"symbol": "circle", "fillColor": "#DDDF0D"}, "dashStyle": "Solid", "stacking": self.stacking, } ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_ref_axes_set_to_same_visibility_as_parent_axis(self): dimensions = [mock_dataset.fields.timestamp, mock_dataset.fields.state] references = [ElectionOverElection(mock_dataset.fields.timestamp, delta=True)] result = ( HighCharts(title="Time Series with Unique Dimension and Delta Reference") .axis(self.chart_class(mock_dataset.fields.votes), y_axis_visible=False) .transform( dimx2_date_str_ref_delta_df, mock_dataset, dimensions, references ) ) self.assertEqual( { "title": { "text": "Time Series with Unique Dimension and Delta Reference" }, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "labels": {"style": {"color": None}}, "title": {"text": None}, "visible": False, }, { "id": "0_eoe_delta", "labels": {"style": {"color": None}}, "opposite": True, "title": {"text": "EoE Δ"}, "visible": False, }, ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "color": "#DDDF0D", "dashStyle": "Solid", "data": [ (820454400000, 6564547), (946684800000, 8367068), (1072915200000, 10036743), (1199145600000, 9491109), (1325376000000, 8148082), (1451606400000, 13438835), ], "marker": {"fillColor": "#DDDF0D", "symbol": "circle"}, "name": "Votes (Republican)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#DDDF0D", "dashStyle": "Dash", "data": [ (820454400000, 1014971.0), (946684800000, -1802521.0), (1072915200000, -1669675.0), (1199145600000, 545634.0), (1325376000000, 1343027.0), (1451606400000, -5290753.0), ], "marker": {"fillColor": "#DDDF0D", "symbol": "circle"}, "name": "Votes EoE Δ (Republican)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0_eoe_delta", }, { "color": "#55BF3B", "dashStyle": "Solid", "data": [ (946684800000, 8294949), (1072915200000, 9578189), (1199145600000, 11803106), (1325376000000, 12424128), (1451606400000, 4871678), ], "marker": {"fillColor": "#DDDF0D", "symbol": "square"}, "name": "Votes (Democrat)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "color": "#55BF3B", "dashStyle": "Dash", "data": [ (946684800000, -7218565.0), (1072915200000, -1283240.0), (1199145600000, -2224917.0), (1325376000000, -621022.0), (1451606400000, 7552450.0), ], "marker": {"fillColor": "#DDDF0D", "symbol": "square"}, "name": "Votes EoE Δ (Democrat)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0_eoe_delta", }, ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) class HighChartsBarChartTransformerTests(TestCase): maxDiff = None chart_class = HighCharts.BarSeries chart_type = "bar" stacking = None def test_single_metric_bar_chart(self): result = ( HighCharts(title="All Votes") .axis(self.chart_class(mock_dataset.fields.votes)) .transform(dimx0_metricx1_df, mock_dataset, [], []) ) self.assertEqual( { "title": {"text": "All Votes"}, "xAxis": {"type": "category", "categories": ["All"], "visible": True}, "yAxis": [ { "id": "0", "title": {"text": None}, "labels": {"style": {"color": None}}, "visible": True, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "type": self.chart_type, "name": "Votes", "yAxis": "0", "data": [{"x": 0, "y": 111674336}], "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "marker": {}, "stacking": self.stacking, } ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_multi_metric_bar_chart(self): result = ( HighCharts(title="Votes and Wins") .axis( self.chart_class(mock_dataset.fields.votes), self.chart_class(mock_dataset.fields.wins), ) .transform(dimx0_metricx2_df, mock_dataset, [], []) ) self.assertEqual( { "title": {"text": "Votes and Wins"}, "xAxis": {"type": "category", "categories": ["All"], "visible": True}, "yAxis": [ { "id": "0", "title": {"text": None}, "labels": {"style": {"color": "#DDDF0D"}}, "visible": True, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "type": self.chart_type, "name": "Votes", "yAxis": "0", "data": [{"x": 0, "y": 111674336}], "tooltip": { "valuePrefix": None, "valueSuffix": None, "valueDecimals": None, }, "marker": {}, "stacking": self.stacking, }, { "type": self.chart_type, "name": "Wins", "yAxis": "0", "data": [{"x": 0, "y": 12}], "tooltip": { "valuePrefix": None, "valueSuffix": None, "valueDecimals": None, }, "marker": {}, "stacking": self.stacking, }, ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_cat_dim_single_metric_bar_chart(self): result = ( HighCharts("Votes and Wins") .axis(self.chart_class(mock_dataset.fields.votes)) .transform( dimx1_str_df, mock_dataset, [mock_dataset.fields.political_party], [] ) ) self.assertEqual( { "title": {"text": "Votes and Wins"}, "xAxis": { "type": "category", "categories": ["Democrat", "Independent", "Republican"], "visible": True, }, "yAxis": [ { "id": "0", "title": {"text": None}, "labels": {"style": {"color": None}}, "visible": True, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "type": self.chart_type, "name": "Votes", "yAxis": "0", "data": [ {"x": 0, "y": 54551568}, {"x": 1, "y": 1076384}, {"x": 2, "y": 56046384}, ], "tooltip": { "valuePrefix": None, "valueSuffix": None, "valueDecimals": None, }, "marker": {}, "stacking": self.stacking, } ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_cat_dim_multi_metric_bar_chart(self): result = ( HighCharts("Votes and Wins") .axis( self.chart_class(mock_dataset.fields.votes), self.chart_class(mock_dataset.fields.wins), ) .transform( dimx1_str_df, mock_dataset, [mock_dataset.fields.political_party], [] ) ) self.assertEqual( { "title": {"text": "Votes and Wins"}, "xAxis": { "type": "category", "categories": ["Democrat", "Independent", "Republican"], "visible": True, }, "yAxis": [ { "id": "0", "title": {"text": None}, "labels": {"style": {"color": "#DDDF0D"}}, "visible": True, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "type": self.chart_type, "name": "Votes", "yAxis": "0", "data": [ {"x": 0, "y": 54551568}, {"x": 1, "y": 1076384}, {"x": 2, "y": 56046384}, ], "tooltip": { "valuePrefix": None, "valueSuffix": None, "valueDecimals": None, }, "marker": {}, "stacking": self.stacking, }, { "type": self.chart_type, "name": "Wins", "yAxis": "0", "data": [{"x": 0, "y": 6}, {"x": 1, "y": 0}, {"x": 2, "y": 6}], "tooltip": { "valuePrefix": None, "valueSuffix": None, "valueDecimals": None, }, "marker": {}, "stacking": self.stacking, }, ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_cont_uni_dims_single_metric_bar_chart(self): dimensions = [mock_dataset.fields.timestamp, mock_dataset.fields.state] result = ( HighCharts("Election Votes by State") .axis(self.chart_class(mock_dataset.fields.votes)) .transform(dimx2_date_str_df, mock_dataset, dimensions, []) ) self.assertEqual( { "title": {"text": "Election Votes by State"}, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "labels": {"style": {"color": None}}, "title": {"text": None}, "visible": True, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "data": [ (820454400000, 7579518), (946684800000, 8294949), (1072915200000, 9578189), (1199145600000, 11803106), (1325376000000, 12424128), (1451606400000, 4871678), ], "marker": {}, "name": "Votes (Democrat)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "data": [(820454400000, 1076384)], "marker": {}, "name": "Votes (Independent)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "data": [ (820454400000, 6564547), (946684800000, 8367068), (1072915200000, 10036743), (1199145600000, 9491109), (1325376000000, 8148082), (1451606400000, 13438835), ], "marker": {}, "name": "Votes (Republican)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_cont_uni_dims_multi_metric_single_axis_bar_chart(self): dimensions = [mock_dataset.fields.timestamp, mock_dataset.fields.state] result = ( HighCharts(title="Election Votes by State") .axis( self.chart_class(mock_dataset.fields.votes), self.chart_class(mock_dataset.fields.wins), ) .transform(dimx2_date_str_df, mock_dataset, dimensions, []) ) self.assertEqual( { "title": {"text": "Election Votes by State"}, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "labels": {"style": {"color": "#DDDF0D"}}, "title": {"text": None}, "visible": True, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "data": [ (820454400000, 7579518), (946684800000, 8294949), (1072915200000, 9578189), (1199145600000, 11803106), (1325376000000, 12424128), (1451606400000, 4871678), ], "marker": {}, "name": "Votes (Democrat)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "data": [(820454400000, 1076384)], "marker": {}, "name": "Votes (Independent)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "data": [ (820454400000, 6564547), (946684800000, 8367068), (1072915200000, 10036743), (1199145600000, 9491109), (1325376000000, 8148082), (1451606400000, 13438835), ], "marker": {}, "name": "Votes (Republican)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "data": [ (820454400000, 2), (946684800000, 0), (1072915200000, 0), (1199145600000, 2), (1325376000000, 2), (1451606400000, 0), ], "marker": {}, "name": "Wins (Democrat)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "data": [(820454400000, 0)], "marker": {}, "name": "Wins (Independent)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "data": [ (820454400000, 0), (946684800000, 2), (1072915200000, 2), (1199145600000, 0), (1325376000000, 0), (1451606400000, 2), ], "marker": {}, "name": "Wins (Republican)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_cont_uni_dims_multi_metric_multi_axis_bar_chart(self): dimensions = [mock_dataset.fields.timestamp, mock_dataset.fields.state] result = ( HighCharts(title="Election Votes by State") .axis(self.chart_class(mock_dataset.fields.votes)) .axis(self.chart_class(mock_dataset.fields.wins)) .transform(dimx2_date_str_df, mock_dataset, dimensions, []) ) self.assertEqual( { "title": {"text": "Election Votes by State"}, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "1", "labels": {"style": {"color": "#7798BF"}}, "title": {"text": None}, "visible": True, }, { "id": "0", "labels": {"style": {"color": "#DDDF0D"}}, "title": {"text": None}, "visible": True, }, ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "data": [ (820454400000, 7579518), (946684800000, 8294949), (1072915200000, 9578189), (1199145600000, 11803106), (1325376000000, 12424128), (1451606400000, 4871678), ], "marker": {}, "name": "Votes (Democrat)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "data": [(820454400000, 1076384)], "marker": {}, "name": "Votes (Independent)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "data": [ (820454400000, 6564547), (946684800000, 8367068), (1072915200000, 10036743), (1199145600000, 9491109), (1325376000000, 8148082), (1451606400000, 13438835), ], "marker": {}, "name": "Votes (Republican)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "data": [ (820454400000, 2), (946684800000, 0), (1072915200000, 0), (1199145600000, 2), (1325376000000, 2), (1451606400000, 0), ], "marker": {}, "name": "Wins (Democrat)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "1", }, { "data": [(820454400000, 0)], "marker": {}, "name": "Wins (Independent)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "1", }, { "data": [ (820454400000, 0), (946684800000, 2), (1072915200000, 2), (1199145600000, 0), (1325376000000, 0), (1451606400000, 2), ], "marker": {}, "name": "Wins (Republican)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "1", }, ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_cat_dim_with_totals_chart(self): result = ( HighCharts(title="Categorical Dimension with Totals") .axis(self.chart_class(mock_dataset.fields.votes)) .transform( dimx1_str_totals_df, mock_dataset, [Rollup(mock_dataset.fields.political_party)], [], ) ) self.assertEqual( { "title": {"text": "Categorical Dimension with Totals"}, "xAxis": { "categories": ["Democrat", "Independent", "Republican", "Totals"], "type": "category", "visible": True, }, "yAxis": [ { "id": "0", "labels": {"style": {"color": None}}, "title": {"text": None}, "visible": True, } ], "legend": {"useHTML": True}, "series": [ { "name": "Votes", "yAxis": "0", "data": [ {"x": 0, "y": 54551568}, {"x": 1, "y": 1076384}, {"x": 2, "y": 56046384}, {"x": 3, "y": 111674336}, ], "marker": {}, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "stacking": self.stacking, } ], "tooltip": {"enabled": True, "shared": True, "useHTML": True}, "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_cat_uni_dim_with_missing_values(self): df = ( dimx2_str_num_df.drop(("Democrat", 1)) .drop(("Republican", 2)) .drop(("Republican", 10)) ) dimensions = [ mock_dataset.fields.political_party, mock_dataset.fields["candidate-id"], ] result = ( HighCharts(title="Categorical Dimension with Totals") .axis(self.chart_class(mock_dataset.fields.votes)) .transform(df, mock_dataset, dimensions, []) ) self.assertEqual( { "title": {"text": "Categorical Dimension with Totals"}, "xAxis": { "categories": ["Democrat", "Independent", "Republican"], "type": "category", "visible": True, }, "yAxis": [ { "id": "0", "labels": {"style": {"color": None}}, "title": {"text": None}, "visible": True, } ], "legend": {"useHTML": True}, "series": [ { "data": [{"x": 0, "y": 8294949}], "marker": {}, "name": "Votes (5)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "data": [{"x": 0, "y": 9578189}], "marker": {}, "name": "Votes (6)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "data": [{"x": 0, "y": 24227234}], "marker": {}, "name": "Votes (7)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "data": [{"x": 0, "y": 4871678}], "marker": {}, "name": "Votes (11)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "data": [{"x": 1, "y": 1076384}], "marker": {}, "name": "Votes (3)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "data": [{"x": 2, "y": 18403811}], "marker": {}, "name": "Votes (4)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "data": [{"x": 2, "y": 9491109}], "marker": {}, "name": "Votes (8)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, { "data": [{"x": 2, "y": 8148082}], "marker": {}, "name": "Votes (9)", "stacking": self.stacking, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": self.chart_type, "yAxis": "0", }, ], "tooltip": {"enabled": True, "shared": True, "useHTML": True}, "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_invisible_y_axis(self): result = ( HighCharts(title="All Votes") .axis(self.chart_class(mock_dataset.fields.votes), y_axis_visible=False) .transform(dimx0_metricx1_df, mock_dataset, [], []) ) self.assertEqual( { "title": {"text": "All Votes"}, "xAxis": {"type": "category", "categories": ["All"], "visible": True}, "yAxis": [ { "id": "0", "title": {"text": None}, "labels": {"style": {"color": None}}, "visible": False, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "type": self.chart_type, "name": "Votes", "yAxis": "0", "data": [{"x": 0, "y": 111674336}], "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "marker": {}, "stacking": self.stacking, } ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) class HighChartsColumnChartTransformerTests(HighChartsBarChartTransformerTests): chart_class = HighCharts.ColumnSeries chart_type = "column" class HighChartsStackedBarChartTransformerTests(HighChartsBarChartTransformerTests): maxDiff = None chart_class = HighCharts.StackedBarSeries chart_type = "bar" stacking = "normal" class HighChartsStackedColumnChartTransformerTests(HighChartsBarChartTransformerTests): chart_class = HighCharts.StackedColumnSeries chart_type = "column" stacking = "normal" class HighChartsAreaChartTransformerTests(HighChartsLineChartTransformerTests): chart_class = HighCharts.AreaSeries chart_type = "area" class HighChartsAreaStackedChartTransformerTests(HighChartsAreaChartTransformerTests): chart_class = HighCharts.AreaStackedSeries stacking = "normal" class HighChartsAreaPercentChartTransformerTests(HighChartsAreaChartTransformerTests): chart_class = HighCharts.AreaPercentageSeries stacking = "percent" class HighChartsPieChartTransformerTests(TestCase): maxDiff = None chart_class = HighCharts.PieSeries chart_type = "pie" def test_pie_chart_metricx1(self): result = ( HighCharts(title="All Votes") .axis(self.chart_class(mock_dataset.fields.votes)) .transform(dimx0_metricx1_df, mock_dataset, [], []) ) self.assertEqual( { "title": {"text": "All Votes"}, "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "name": "Votes", "type": "pie", "data": [{"name": "Votes", "y": 111674336}], "tooltip": { "pointFormat": '<span style="color:{point.color}">●</span> ' "{series.name}: <b>{point.y} ({point.percentage:.1f}%)</b><br/>", "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, } ], "xAxis": {"type": "category", "categories": ["All"], "visible": True}, "yAxis": [ { "id": "0", "labels": {"style": {"color": None}}, "title": {"text": None}, "visible": True, } ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_pie_chart_metricx2(self): result = ( HighCharts(title="Votes and Wins") .axis( self.chart_class(mock_dataset.fields.votes), self.chart_class(mock_dataset.fields.wins), ) .transform(dimx0_metricx2_df, mock_dataset, [], []) ) self.assertEqual( { "title": {"text": "Votes and Wins"}, "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "name": "Votes", "type": "pie", "data": [{"name": "Votes", "y": 111674336}], "tooltip": { "pointFormat": '<span style="color:{point.color}">●</span> ' "{series.name}: <b>{point.y} ({point.percentage:.1f}%)</b><br/>", "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, }, { "name": "Wins", "type": "pie", "data": [{"name": "Wins", "y": 12}], "tooltip": { "pointFormat": '<span style="color:{point.color}">●</span> ' "{series.name}: <b>{point.y} ({point.percentage:.1f}%)</b><br/>", "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, }, ], "xAxis": {"type": "category", "categories": ["All"], "visible": True}, "yAxis": [ { "id": "0", "labels": {"style": {"color": "#DDDF0D"}}, "title": {"text": None}, "visible": True, } ], "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_pie_chart_dimx1_date(self): result = ( HighCharts("Votes and Wins By Day") .axis(self.chart_class(mock_dataset.fields.votes)) .transform(dimx1_date_df, mock_dataset, [mock_dataset.fields.timestamp], []) ) self.assertEqual( { "annotations": [], "colors": DEFAULT_COLORS, "legend": {"useHTML": True}, "series": [ { "data": [ {"name": "1996-01-01", "y": 15220449}, {"name": "2000-01-01", "y": 16662017}, {"name": "2004-01-01", "y": 19614932}, {"name": "2008-01-01", "y": 21294215}, {"name": "2012-01-01", "y": 20572210}, {"name": "2016-01-01", "y": 18310513}, ], "name": "Votes", "tooltip": { "pointFormat": "<span " 'style="color:{point.color}">●</span> ' "{series.name}: <b>{point.y} " "({point.percentage:.1f}%)</b><br/>", "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": "pie", } ], "title": {"text": "Votes and Wins By Day"}, "tooltip": {"enabled": True, "shared": True, "useHTML": True}, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "labels": {"style": {"color": None}}, "title": {"text": None}, "visible": True, } ], }, result, ) def test_pie_chart_dimx1_date_year(self): result = ( HighCharts("Votes and Wins By Day") .axis(self.chart_class(mock_dataset.fields.votes)) .transform( dimx1_date_df, mock_dataset, [year(mock_dataset.fields.timestamp)], [] ) ) self.assertEqual( { "annotations": [], "colors": DEFAULT_COLORS, "legend": {"useHTML": True}, "series": [ { "data": [ {"name": "1996", "y": 15220449}, {"name": "2000", "y": 16662017}, {"name": "2004", "y": 19614932}, {"name": "2008", "y": 21294215}, {"name": "2012", "y": 20572210}, {"name": "2016", "y": 18310513}, ], "name": "Votes", "tooltip": { "pointFormat": "<span " 'style="color:{point.color}">●</span> ' "{series.name}: <b>{point.y} " "({point.percentage:.1f}%)</b><br/>", "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": "pie", } ], "title": {"text": "Votes and Wins By Day"}, "tooltip": {"enabled": True, "shared": True, "useHTML": True}, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "labels": {"style": {"color": None}}, "title": {"text": None}, "visible": True, } ], }, result, ) def test_pie_chart_dimx1_str(self): result = ( HighCharts("Votes and Wins By Party") .axis(self.chart_class(mock_dataset.fields.votes)) .transform( dimx1_str_df, mock_dataset, [mock_dataset.fields.political_party], [] ) ) self.assertEqual( { "title": {"text": "Votes and Wins By Party"}, "tooltip": {"useHTML": True, "shared": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "name": "Votes", "type": "pie", "data": [ {"y": 54551568, "name": "Democrat"}, {"y": 1076384, "name": "Independent"}, {"y": 56046384, "name": "Republican"}, ], "tooltip": { "pointFormat": '<span style="color:{point.color}">●</span> ' "{series.name}: <b>{point.y} ({point.percentage:.1f}%)</b><br/>", "valuePrefix": None, "valueSuffix": None, "valueDecimals": None, }, } ], "yAxis": [ { "id": "0", "labels": {"style": {"color": None}}, "title": {"text": None}, "visible": True, } ], "xAxis": { "type": "category", "categories": ["Democrat", "Independent", "Republican"], "visible": True, }, "annotations": [], "colors": DEFAULT_COLORS, }, result, ) def test_pie_chart_dimx1_num(self): result = ( HighCharts(title="Votes and Wins By Election") .axis(self.chart_class(mock_dataset.fields.votes)) .transform( dimx1_num_df, mock_dataset, [mock_dataset.fields["candidate-id"]], [] ) ) self.assertEqual( { "title": {"text": "Votes and Wins By Election"}, "xAxis": { "type": "category", "categories": [ "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", ], "visible": True, }, "yAxis": [ { "id": "0", "title": {"text": None}, "labels": {"style": {"color": None}}, "visible": True, } ], "annotations": [], "colors": DEFAULT_COLORS, "series": [ { "name": "Votes", "type": "pie", "data": [ {"name": "1", "y": 7579518}, {"name": "2", "y": 6564547}, {"name": "3", "y": 1076384}, {"name": "4", "y": 18403811}, {"name": "5", "y": 8294949}, {"name": "6", "y": 9578189}, {"name": "7", "y": 24227234}, {"name": "8", "y": 9491109}, {"name": "9", "y": 8148082}, {"name": "10", "y": 13438835}, {"name": "11", "y": 4871678}, ], "tooltip": { "pointFormat": '<span style="color:{point.color}">\u25cf</span> {' "series.name}: <b>{point.y} ({" "point.percentage:.1f}%)</b><br/>", "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, }, result, ) def test_pie_chart_dimx2_date_str(self): dimensions = [ mock_dataset.fields.timestamp, mock_dataset.fields.political_party, ] result = ( HighCharts(title="Votes by Date, Party") .axis(self.chart_class(mock_dataset.fields.votes)) .transform(dimx2_date_str_df, mock_dataset, dimensions, []) ) self.assertEqual( { "title": {"text": "Votes by Date, Party"}, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "title": {"text": None}, "labels": {"style": {"color": None}}, "visible": True, } ], "annotations": [], "colors": DEFAULT_COLORS, "series": [ { "name": "Votes", "type": "pie", "data": [ {"name": "1996-01-01, Democrat", "y": 7579518}, {"name": "1996-01-01, Independent", "y": 1076384}, {"name": "1996-01-01, Republican", "y": 6564547}, {"name": "2000-01-01, Democrat", "y": 8294949}, {"name": "2000-01-01, Republican", "y": 8367068}, {"name": "2004-01-01, Democrat", "y": 9578189}, {"name": "2004-01-01, Republican", "y": 10036743}, {"name": "2008-01-01, Democrat", "y": 11803106}, {"name": "2008-01-01, Republican", "y": 9491109}, {"name": "2012-01-01, Democrat", "y": 12424128}, {"name": "2012-01-01, Republican", "y": 8148082}, {"name": "2016-01-01, Democrat", "y": 4871678}, {"name": "2016-01-01, Republican", "y": 13438835}, ], "tooltip": { "pointFormat": '<span style="color:{point.color}">\u25cf</span> {series.name}: <b>{' "point.y} ({" "point.percentage:.1f}%)</b><br/>", "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, }, result, ) def test_pie_chart_dimx2_date_num(self): dimensions = [ day(mock_dataset.fields.timestamp), mock_dataset.fields["candidate-id"], ] result = ( HighCharts(title="Election Votes by Day and Candidate ID") .axis(self.chart_class(mock_dataset.fields.votes)) .transform(dimx2_date_num_df, mock_dataset, dimensions, []) ) self.assertEqual( { "title": {"text": "Election Votes by Day and Candidate ID"}, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "title": {"text": None}, "labels": {"style": {"color": None}}, "visible": True, } ], "annotations": [], "colors": DEFAULT_COLORS, "series": [ { "name": "Votes", "type": "pie", "data": [ {"name": "1996-01-01, 1", "y": 7579518}, {"name": "1996-01-01, 2", "y": 6564547}, {"name": "1996-01-01, 3", "y": 1076384}, {"name": "2000-01-01, 4", "y": 8367068}, {"name": "2000-01-01, 5", "y": 8294949}, {"name": "2004-01-01, 4", "y": 10036743}, {"name": "2004-01-01, 6", "y": 9578189}, {"name": "2008-01-01, 7", "y": 11803106}, {"name": "2008-01-01, 8", "y": 9491109}, {"name": "2012-01-01, 7", "y": 12424128}, {"name": "2012-01-01, 9", "y": 8148082}, {"name": "2016-01-01, 10", "y": 13438835}, {"name": "2016-01-01, 11", "y": 4871678}, ], "tooltip": { "pointFormat": '<span style="color:{point.color}">\u25cf</span> {series.name}: ' "<b>{point.y} ({point.percentage:.1f}%)</b><br/>", "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, }, result, ) def test_pie_chart_dimx2_yearly_date_num(self): dimensions = [ year(mock_dataset.fields.timestamp), mock_dataset.fields["candidate-id"], ] result = ( HighCharts(title="Election Votes by Day and Candidate ID") .axis(self.chart_class(mock_dataset.fields.votes)) .transform(dimx2_date_num_df, mock_dataset, dimensions, []) ) self.assertEqual( { "title": {"text": "Election Votes by Day and Candidate ID"}, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "title": {"text": None}, "labels": {"style": {"color": None}}, "visible": True, } ], "annotations": [], "colors": DEFAULT_COLORS, "series": [ { "name": "Votes", "type": "pie", "data": [ {"name": "1996, 1", "y": 7579518}, {"name": "1996, 2", "y": 6564547}, {"name": "1996, 3", "y": 1076384}, {"name": "2000, 4", "y": 8367068}, {"name": "2000, 5", "y": 8294949}, {"name": "2004, 4", "y": 10036743}, {"name": "2004, 6", "y": 9578189}, {"name": "2008, 7", "y": 11803106}, {"name": "2008, 8", "y": 9491109}, {"name": "2012, 7", "y": 12424128}, {"name": "2012, 9", "y": 8148082}, {"name": "2016, 10", "y": 13438835}, {"name": "2016, 11", "y": 4871678}, ], "tooltip": { "pointFormat": '<span style="color:{point.color}">\u25cf</span> {series.name}: ' "<b>{point.y} ({point.percentage:.1f}%)</b><br/>", "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, }, result, ) def test_pie_chart_dimx2_date_str_reference(self): dimensions = [mock_dataset.fields.timestamp, mock_dataset.fields.state] references = [ElectionOverElection(mock_dataset.fields.timestamp)] result = ( HighCharts(title="Election Votes by State") .axis( self.chart_class(mock_dataset.fields.votes), self.chart_class(mock_dataset.fields.wins), ) .transform(dimx2_date_str_df, mock_dataset, dimensions, references) ) self.assertEqual( { "title": {"text": "Election Votes by State"}, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "title": {"text": None}, "labels": {"style": {"color": "#DDDF0D"}}, "visible": True, } ], "annotations": [], "colors": DEFAULT_COLORS, "series": [ { "name": "Votes", "type": "pie", "data": [ {"name": "1996-01-01, Democrat", "y": 7579518}, {"name": "1996-01-01, Independent", "y": 1076384}, {"name": "1996-01-01, Republican", "y": 6564547}, {"name": "2000-01-01, Democrat", "y": 8294949}, {"name": "2000-01-01, Republican", "y": 8367068}, {"name": "2004-01-01, Democrat", "y": 9578189}, {"name": "2004-01-01, Republican", "y": 10036743}, {"name": "2008-01-01, Democrat", "y": 11803106}, {"name": "2008-01-01, Republican", "y": 9491109}, {"name": "2012-01-01, Democrat", "y": 12424128}, {"name": "2012-01-01, Republican", "y": 8148082}, {"name": "2016-01-01, Democrat", "y": 4871678}, {"name": "2016-01-01, Republican", "y": 13438835}, ], "tooltip": { "pointFormat": '<span style="color:{point.color}">\u25cf</span> {' "series.name}: <b>{point.y} ({" "point.percentage:.1f}%)</b><br/>", "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, }, { "name": "Votes EoE", "type": "pie", "data": [ {"name": "1996-01-01, Democrat", "y": 7579518}, {"name": "1996-01-01, Independent", "y": 1076384}, {"name": "1996-01-01, Republican", "y": 6564547}, {"name": "2000-01-01, Democrat", "y": 8294949}, {"name": "2000-01-01, Republican", "y": 8367068}, {"name": "2004-01-01, Democrat", "y": 9578189}, {"name": "2004-01-01, Republican", "y": 10036743}, {"name": "2008-01-01, Democrat", "y": 11803106}, {"name": "2008-01-01, Republican", "y": 9491109}, {"name": "2012-01-01, Democrat", "y": 12424128}, {"name": "2012-01-01, Republican", "y": 8148082}, {"name": "2016-01-01, Democrat", "y": 4871678}, {"name": "2016-01-01, Republican", "y": 13438835}, ], "tooltip": { "pointFormat": '<span style="color:{point.color}">\u25cf</span> {series.name}: <b>{' "point.y} ({" "point.percentage:.1f}%)</b><br/>", "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, }, { "name": "Wins", "type": "pie", "data": [ {"name": "1996-01-01, Democrat", "y": 2}, {"name": "1996-01-01, Independent", "y": 0}, {"name": "1996-01-01, Republican", "y": 0}, {"name": "2000-01-01, Democrat", "y": 0}, {"name": "2000-01-01, Republican", "y": 2}, {"name": "2004-01-01, Democrat", "y": 0}, {"name": "2004-01-01, Republican", "y": 2}, {"name": "2008-01-01, Democrat", "y": 2}, {"name": "2008-01-01, Republican", "y": 0}, {"name": "2012-01-01, Democrat", "y": 2}, {"name": "2012-01-01, Republican", "y": 0}, {"name": "2016-01-01, Democrat", "y": 0}, {"name": "2016-01-01, Republican", "y": 2}, ], "tooltip": { "pointFormat": '<span style="color:{point.color}">\u25cf</span> {series.name}: <b>{' "point.y} ({" "point.percentage:.1f}%)</b><br/>", "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, }, { "name": "Wins EoE", "type": "pie", "data": [ {"name": "1996-01-01, Democrat", "y": 2}, {"name": "1996-01-01, Independent", "y": 0}, {"name": "1996-01-01, Republican", "y": 0}, {"name": "2000-01-01, Democrat", "y": 0}, {"name": "2000-01-01, Republican", "y": 2}, {"name": "2004-01-01, Democrat", "y": 0}, {"name": "2004-01-01, Republican", "y": 2}, {"name": "2008-01-01, Democrat", "y": 2}, {"name": "2008-01-01, Republican", "y": 0}, {"name": "2012-01-01, Democrat", "y": 2}, {"name": "2012-01-01, Republican", "y": 0}, {"name": "2016-01-01, Democrat", "y": 0}, {"name": "2016-01-01, Republican", "y": 2}, ], "tooltip": { "pointFormat": '<span style="color:{point.color}">\u25cf</span> {series.name}: <b>{' "point.y} ({" "point.percentage:.1f}%)</b><br/>", "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, }, ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, }, result, ) class HighChartsLineChartAnnotationTransformerTests(TestCase): maxDiff = None chart_class = HighCharts.LineSeries chart_type = "line" stacking = None def test_dimx1_timeseries_with_annotation(self): result = ( HighCharts(title="Time Series, Single Metric") .axis(self.chart_class(mock_dataset.fields.votes)) .transform( dimx1_date_meticx1_votes_df, mock_dataset, [mock_dataset.fields.timestamp], [], dimx2_date_index_str_df, ) ) self.assertEqual( { "title": {"text": "Time Series, Single Metric"}, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "title": {"text": None}, "labels": {"style": {"color": None}}, "visible": True, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "type": self.chart_type, "name": "Votes", "yAxis": "0", "data": [ (820454400000, 15220449), (946684800000, 16662017), (1072915200000, 19614932), (1199145600000, 21294215), (1325376000000, 20572210), (1451606400000, 18310513), ], "tooltip": { "valuePrefix": None, "valueSuffix": None, "valueDecimals": None, }, "color": "#DDDF0D", "marker": {"symbol": "circle", "fillColor": "#DDDF0D"}, "dashStyle": "Solid", "stacking": self.stacking, } ], "annotations": [ { "labels": [ { "point": {"x": 820454400000, "xAxis": 0}, "text": "Bill Clinton, Bob Dole, Ross Perot, " "Bill Clinton, Bob Dole, Ross Perot", }, { "point": {"x": 946684800000, "xAxis": 0}, "text": "George Bush, Al Gore, George Bush, Al Gore", }, { "point": {"x": 1072915200000, "xAxis": 0}, "text": "George Bush, John Kerry, George Bush, " "John Kerry", }, { "point": {"x": 1199145600000, "xAxis": 0}, "text": "Barrack Obama, John McCain, Barrack " "Obama, John McCain", }, { "point": {"x": 1325376000000, "xAxis": 0}, "text": "Barrack Obama, Mitt Romney, Barrack " "Obama, Mitt Romney", }, { "point": {"x": 1451606400000, "xAxis": 0}, "text": "Donald Trump, Hillary Clinton, Donald " "Trump, Hillary Clinton", }, ] } ], "colors": DEFAULT_COLORS, }, result, ) def test_dimx2_timeseries_with_annotation(self): result = ( HighCharts(title="Time Series with Dimension and Single Metric") .axis(self.chart_class(mock_dataset.fields.votes)) .transform( dimx2_date_str_df, mock_dataset, [mock_dataset.fields.timestamp, mock_dataset.fields.political_party], [], dimx2_date_index_str_df, ) ) self.assertEqual( { "title": {"text": "Time Series with Dimension and Single Metric"}, "xAxis": {"type": "datetime", "visible": True}, "yAxis": [ { "id": "0", "title": {"text": None}, "labels": {"style": {"color": None}}, "visible": True, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "type": self.chart_type, "name": "Votes (Democrat)", "yAxis": "0", "data": [ (820454400000, 7579518), (946684800000, 8294949), (1072915200000, 9578189), (1199145600000, 11803106), (1325376000000, 12424128), (1451606400000, 4871678), ], "tooltip": { "valuePrefix": None, "valueSuffix": None, "valueDecimals": None, }, "color": "#DDDF0D", "marker": {"symbol": "circle", "fillColor": "#DDDF0D"}, "dashStyle": "Solid", "stacking": self.stacking, }, { "color": "#55BF3B", "dashStyle": "Solid", "data": [(820454400000, 1076384)], "marker": {"fillColor": "#DDDF0D", "symbol": "square"}, "name": "Votes (Independent)", "stacking": None, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": "line", "yAxis": "0", }, { "color": "#DF5353", "dashStyle": "Solid", "data": [ (820454400000, 6564547), (946684800000, 8367068), (1072915200000, 10036743), (1199145600000, 9491109), (1325376000000, 8148082), (1451606400000, 13438835), ], "marker": {"fillColor": "#DDDF0D", "symbol": "diamond"}, "name": "Votes (Republican)", "stacking": None, "tooltip": { "valueDecimals": None, "valuePrefix": None, "valueSuffix": None, }, "type": "line", "yAxis": "0", }, ], "annotations": [ { "labels": [ { "point": {"x": 820454400000, "xAxis": 0}, "text": "Bill Clinton, Bob Dole, Ross Perot, " "Bill Clinton, Bob Dole, Ross Perot", }, { "point": {"x": 946684800000, "xAxis": 0}, "text": "George Bush, Al Gore, George Bush, Al Gore", }, { "point": {"x": 1072915200000, "xAxis": 0}, "text": "George Bush, John Kerry, George Bush, " "John Kerry", }, { "point": {"x": 1199145600000, "xAxis": 0}, "text": "Barrack Obama, John McCain, Barrack " "Obama, John McCain", }, { "point": {"x": 1325376000000, "xAxis": 0}, "text": "Barrack Obama, Mitt Romney, Barrack " "Obama, Mitt Romney", }, { "point": {"x": 1451606400000, "xAxis": 0}, "text": "Donald Trump, Hillary Clinton, Donald " "Trump, Hillary Clinton", }, ] } ], "colors": DEFAULT_COLORS, }, result, ) def test_dimx1_category_with_annotation(self): result = ( HighCharts(title="Category Series, Single Metric") .axis(self.chart_class(mock_dataset.fields.votes)) .transform( dimx1_str_df, mock_dataset, [mock_dataset.fields.political_party], [], dimx2_category_index_str_df, ) ) self.assertEqual( { "title": {"text": "Category Series, Single Metric"}, "xAxis": { "categories": ["Democrat", "Independent", "Republican"], "type": "category", "visible": True, }, "yAxis": [ { "id": "0", "title": {"text": None}, "labels": {"style": {"color": None}}, "visible": True, } ], "tooltip": {"shared": True, "useHTML": True, "enabled": True}, "legend": {"useHTML": True}, "series": [ { "type": self.chart_type, "name": "Votes", "yAxis": "0", "data": [ {"x": 0, "y": 54551568}, {"x": 1, "y": 1076384}, {"x": 2, "y": 56046384}, ], "tooltip": { "valuePrefix": None, "valueSuffix": None, "valueDecimals": None, }, "color": "#DDDF0D", "marker": {"symbol": "circle", "fillColor": "#DDDF0D"}, "dashStyle": "Solid", "stacking": self.stacking, } ], "annotations": [ { "labels": [ { "point": {"x": 0, "xAxis": 0}, "text": "Bill Clinton, Al Gore, John Kerry, " "Barrack Obama, Barrack Obama, Hillary " "Clinton, Bill Clinton, Al Gore, John " "Kerry, Barrack Obama, Barrack Obama, " "Hillary Clinton", }, { "point": {"x": 1, "xAxis": 0}, "text": "Ross Perot, Ross Perot", }, { "point": {"x": 2, "xAxis": 0}, "text": "Bob Dole, George Bush, George Bush, " "John McCain, Mitt Romney, Donald Trump, " "Bob Dole, George Bush, George Bush, " "John McCain, Mitt Romney, Donald " "Trump", }, ] } ], "colors": DEFAULT_COLORS, }, result, )

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292739fb55674aabc9b4dbf315399b2345e33906

24,895

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Python

azure-mgmt-batchai/azure/mgmt/batchai/operations/workspaces_operations.py

JonathanGailliez/azure-sdk-for-python

f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b

[ "MIT" ]

1

2018-07-23T08:59:24.000Z

azure-mgmt-batchai/azure/mgmt/batchai/operations/workspaces_operations.py

JonathanGailliez/azure-sdk-for-python

f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b

[ "MIT" ]

1

2018-11-29T14:46:42.000Z

azure-mgmt-batchai/azure/mgmt/batchai/operations/workspaces_operations.py

JonathanGailliez/azure-sdk-for-python

f0f051bfd27f8ea512aea6fc0c3212ee9ee0029b

[ "MIT" ]

2

2021-05-23T16:46:31.000Z

2021-05-26T23:51:09.000Z

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- import uuid from msrest.pipeline import ClientRawResponse from msrestazure.azure_exceptions import CloudError from msrest.polling import LROPoller, NoPolling from msrestazure.polling.arm_polling import ARMPolling from .. import models class WorkspacesOperations(object): """WorkspacesOperations operations. :param client: Client for service requests. :param config: Configuration of service client. :param serializer: An object model serializer. :param deserializer: An object model deserializer. :ivar api_version: Specifies the version of API used for this request. Constant value: "2018-05-01". """ models = models def __init__(self, client, config, serializer, deserializer): self._client = client self._serialize = serializer self._deserialize = deserializer self.api_version = "2018-05-01" self.config = config def list( self, workspaces_list_options=None, custom_headers=None, raw=False, **operation_config): """Gets a list of Workspaces associated with the given subscription. :param workspaces_list_options: Additional parameters for the operation :type workspaces_list_options: ~azure.mgmt.batchai.models.WorkspacesListOptions :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: An iterator like instance of Workspace :rtype: ~azure.mgmt.batchai.models.WorkspacePaged[~azure.mgmt.batchai.models.Workspace] :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ max_results = None if workspaces_list_options is not None: max_results = workspaces_list_options.max_results def internal_paging(next_link=None, raw=False): if not next_link: # Construct URL url = self.list.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') if max_results is not None: query_parameters['maxresults'] = self._serialize.query("max_results", max_results, 'int', maximum=1000, minimum=1) else: url = next_link query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send( request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp return response # Deserialize response deserialized = models.WorkspacePaged(internal_paging, self._deserialize.dependencies) if raw: header_dict = {} client_raw_response = models.WorkspacePaged(internal_paging, self._deserialize.dependencies, header_dict) return client_raw_response return deserialized list.metadata = {'url': '/subscriptions/{subscriptionId}/providers/Microsoft.BatchAI/workspaces'} def list_by_resource_group( self, resource_group_name, workspaces_list_by_resource_group_options=None, custom_headers=None, raw=False, **operation_config): """Gets a list of Workspaces within the specified resource group. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param workspaces_list_by_resource_group_options: Additional parameters for the operation :type workspaces_list_by_resource_group_options: ~azure.mgmt.batchai.models.WorkspacesListByResourceGroupOptions :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: An iterator like instance of Workspace :rtype: ~azure.mgmt.batchai.models.WorkspacePaged[~azure.mgmt.batchai.models.Workspace] :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ max_results = None if workspaces_list_by_resource_group_options is not None: max_results = workspaces_list_by_resource_group_options.max_results def internal_paging(next_link=None, raw=False): if not next_link: # Construct URL url = self.list_by_resource_group.metadata['url'] path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', pattern=r'^[-\w\._]+$'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') if max_results is not None: query_parameters['maxresults'] = self._serialize.query("max_results", max_results, 'int', maximum=1000, minimum=1) else: url = next_link query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send( request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp return response # Deserialize response deserialized = models.WorkspacePaged(internal_paging, self._deserialize.dependencies) if raw: header_dict = {} client_raw_response = models.WorkspacePaged(internal_paging, self._deserialize.dependencies, header_dict) return client_raw_response return deserialized list_by_resource_group.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.BatchAI/workspaces'} def _create_initial( self, resource_group_name, workspace_name, location, tags=None, custom_headers=None, raw=False, **operation_config): parameters = models.WorkspaceCreateParameters(location=location, tags=tags) # Construct URL url = self.create.metadata['url'] path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', pattern=r'^[-\w\._]+$'), 'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(parameters, 'WorkspaceCreateParameters') # Construct and send request request = self._client.put(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200, 202]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('Workspace', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized def create( self, resource_group_name, workspace_name, location, tags=None, custom_headers=None, raw=False, polling=True, **operation_config): """Creates a Workspace. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param workspace_name: The name of the workspace. Workspace names can only contain a combination of alphanumeric characters along with dash (-) and underscore (_). The name must be from 1 through 64 characters long. :type workspace_name: str :param location: The region in which to create the Workspace. :type location: str :param tags: The user specified tags associated with the Workspace. :type tags: dict[str, str] :param dict custom_headers: headers that will be added to the request :param bool raw: The poller return type is ClientRawResponse, the direct response alongside the deserialized response :param polling: True for ARMPolling, False for no polling, or a polling object for personal polling strategy :return: An instance of LROPoller that returns Workspace or ClientRawResponse<Workspace> if raw==True :rtype: ~msrestazure.azure_operation.AzureOperationPoller[~azure.mgmt.batchai.models.Workspace] or ~msrestazure.azure_operation.AzureOperationPoller[~msrest.pipeline.ClientRawResponse[~azure.mgmt.batchai.models.Workspace]] :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ raw_result = self._create_initial( resource_group_name=resource_group_name, workspace_name=workspace_name, location=location, tags=tags, custom_headers=custom_headers, raw=True, **operation_config ) def get_long_running_output(response): deserialized = self._deserialize('Workspace', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized lro_delay = operation_config.get( 'long_running_operation_timeout', self.config.long_running_operation_timeout) if polling is True: polling_method = ARMPolling(lro_delay, **operation_config) elif polling is False: polling_method = NoPolling() else: polling_method = polling return LROPoller(self._client, raw_result, get_long_running_output, polling_method) create.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.BatchAI/workspaces/{workspaceName}'} def update( self, resource_group_name, workspace_name, tags=None, custom_headers=None, raw=False, **operation_config): """Updates properties of a Workspace. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param workspace_name: The name of the workspace. Workspace names can only contain a combination of alphanumeric characters along with dash (-) and underscore (_). The name must be from 1 through 64 characters long. :type workspace_name: str :param tags: The user specified tags associated with the Workspace. :type tags: dict[str, str] :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: Workspace or ClientRawResponse if raw=true :rtype: ~azure.mgmt.batchai.models.Workspace or ~msrest.pipeline.ClientRawResponse :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ parameters = models.WorkspaceUpdateParameters(tags=tags) # Construct URL url = self.update.metadata['url'] path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', pattern=r'^[-\w\._]+$'), 'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(parameters, 'WorkspaceUpdateParameters') # Construct and send request request = self._client.patch(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('Workspace', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized update.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.BatchAI/workspaces/{workspaceName}'} def _delete_initial( self, resource_group_name, workspace_name, custom_headers=None, raw=False, **operation_config): # Construct URL url = self.delete.metadata['url'] path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', pattern=r'^[-\w\._]+$'), 'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.delete(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200, 202, 204]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response def delete( self, resource_group_name, workspace_name, custom_headers=None, raw=False, polling=True, **operation_config): """Deletes a Workspace. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param workspace_name: The name of the workspace. Workspace names can only contain a combination of alphanumeric characters along with dash (-) and underscore (_). The name must be from 1 through 64 characters long. :type workspace_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: The poller return type is ClientRawResponse, the direct response alongside the deserialized response :param polling: True for ARMPolling, False for no polling, or a polling object for personal polling strategy :return: An instance of LROPoller that returns None or ClientRawResponse<None> if raw==True :rtype: ~msrestazure.azure_operation.AzureOperationPoller[None] or ~msrestazure.azure_operation.AzureOperationPoller[~msrest.pipeline.ClientRawResponse[None]] :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ raw_result = self._delete_initial( resource_group_name=resource_group_name, workspace_name=workspace_name, custom_headers=custom_headers, raw=True, **operation_config ) def get_long_running_output(response): if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response lro_delay = operation_config.get( 'long_running_operation_timeout', self.config.long_running_operation_timeout) if polling is True: polling_method = ARMPolling(lro_delay, **operation_config) elif polling is False: polling_method = NoPolling() else: polling_method = polling return LROPoller(self._client, raw_result, get_long_running_output, polling_method) delete.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.BatchAI/workspaces/{workspaceName}'} def get( self, resource_group_name, workspace_name, custom_headers=None, raw=False, **operation_config): """Gets information about a Workspace. :param resource_group_name: Name of the resource group to which the resource belongs. :type resource_group_name: str :param workspace_name: The name of the workspace. Workspace names can only contain a combination of alphanumeric characters along with dash (-) and underscore (_). The name must be from 1 through 64 characters long. :type workspace_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: Workspace or ClientRawResponse if raw=true :rtype: ~azure.mgmt.batchai.models.Workspace or ~msrest.pipeline.ClientRawResponse :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ # Construct URL url = self.get.metadata['url'] path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', pattern=r'^[-\w\._]+$'), 'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'), 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('Workspace', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.BatchAI/workspaces/{workspaceName}'}

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Python

tests/general_test.py

mjirik/pythontemplate

d81983be44fda32c68b303bc396969d3ee5a714d

[ "MIT" ]

null

tests/general_test.py

mjirik/pythontemplate

d81983be44fda32c68b303bc396969d3ee5a714d

[ "MIT" ]

null

tests/general_test.py

mjirik/pythontemplate

d81983be44fda32c68b303bc396969d3ee5a714d

[ "MIT" ]

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import pytest import pythontemplate.moduleone def test_hello(): pythontemplate.moduleone.print_hello("Vlkoslav")

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Python

cloudify_rest_sdk/tests/test_sdk.py

cloudify-incubator/cloudify-utilities-plugins-sdk

f5cfe0381a13a85d89b905c06c79ad8ada5319bc

[ "Apache-2.0" ]

1

2019-04-23T03:06:52.000Z

cloudify_rest_sdk/tests/test_sdk.py

cloudify-incubator/cloudify-utilities-plugins-sdk

f5cfe0381a13a85d89b905c06c79ad8ada5319bc

[ "Apache-2.0" ]

9

2018-12-17T14:08:29.000Z

2022-01-16T17:52:54.000Z

cloudify_rest_sdk/tests/test_sdk.py

cloudify-incubator/cloudify-utilities-plugins-sdk

f5cfe0381a13a85d89b905c06c79ad8ada5319bc

[ "Apache-2.0" ]

3

2021-12-13T20:53:37.000Z

2022-01-20T09:01:47.000Z

######## # Copyright (c) 2014-2020 Cloudify Platform Ltd. All rights reserved # # 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 import json import mock import six from cloudify_rest_sdk import utility from cloudify_common_sdk import exceptions class TestSdk(unittest.TestCase): def test_check_response(self): parsed_json = json.loads('''{ "id": 10, "name": "Clementina DuBuque", "username": "Moriah.Stanton", "email": "Rey.Padberg@karina.biz", "address": { "street": "Kattie Turnpike", "suite": "Suite 198", "city": "Lebsackbury", "zipcode": "31428-2261", "geo": { "lat": "-38.2386", "lng": "57.2232" } }, "phone": "024-648-3804", "website": "ambrose.net", "company": { "name": "Hoeger LLC", "catchPhrase": "Centralized empowering task-force", "bs": "target end-to-end models" } }''') # no check, should be skiped utility._check_response(parsed_json, [], True) # correct check utility._check_response(parsed_json, [['id', '10']], True) # incorect data / Recoverable, filter that data not match with self.assertRaises( exceptions.RecoverableResponseException ) as error: utility._check_response(parsed_json, [['id', '22']], True) self.assertEqual( "{0}".format(error.exception), 'Trying one more time...\nResponse value:10 does not match ' 'regexp: 22 from response_expectation') # incorect data / NonRecoverable, filter that data match with self.assertRaises( exceptions.NonRecoverableResponseException ) as error: utility._check_response(parsed_json, [['id', '10']], False) self.assertEqual( "{0}".format(error.exception), 'Giving up... \nResponse value: 10 matches regexp:10 from ' 'nonrecoverable_response. ') # correct data, filter that data not match utility._check_response(parsed_json, [['id', '20']], False) # wrond data structure error_text = 'No key or index "id" in json [{\'id\': 40}]' with self.assertRaises( exceptions.ExpectationException ) as error: utility._check_response([{'id': 40}], [['id', '20']], False) self.assertEqual("{0}".format(error.exception), error_text) with self.assertRaises( exceptions.ExpectationException ) as error: utility._check_response([{'id': 40}], [['id', '20']], True) self.assertEqual("{0}".format(error.exception), error_text) # wrong checked with self.assertRaises( exceptions.WrongTemplateDataException ) as error: utility._check_response([{'id': 40}], 'AAAA', True) if six.PY3: # python 3 self.assertEqual( "{0}".format(error.exception), "Response (recoverable) had to be list. Type <class 'str'> " "not supported. ") else: # python 2 self.assertEqual( "{0}".format(error.exception), "Response (recoverable) had to be list. Type <type 'str'> " "not supported. ") with self.assertRaises( exceptions.WrongTemplateDataException ) as error: utility._check_response([{'id': 40}], 'AAAA', False) if six.PY3: # python 3 self.assertEqual( "{0}".format(error.exception), "Response (nonrecoverable) had to be list. Type <class 'str'> " "not supported. ") else: # python 2 self.assertEqual( "{0}".format(error.exception), "Response (nonrecoverable) had to be list. Type <type 'str'> " "not supported. ") # check regexp def test_check_response_regexp(self): # Success parsed_json = json.loads('''{ "status": "Success" }''') utility._check_response( parsed_json, [['status', '\\AWarning\\Z|\\ASuccess\\Z']], True) # Warning parsed_json = json.loads('''{ "status": "Warning" }''') utility._check_response( parsed_json, [['status', '\\AWarning\\Z|\\ASuccess\\Z']], True) # Incorrect suffix parsed_json = json.loads('''{ "status": "Successful" }''') error_text = ( "Trying one more time...\nResponse value:Successful does not " "match regexp: \\AWarning\\Z|\\ASuccess\\Z from " "response_expectation" ) with self.assertRaises( exceptions.RecoverableResponseException ) as error: utility._check_response( parsed_json, [['status', '\\AWarning\\Z|\\ASuccess\\Z']], True) self.assertEqual("{0}".format(error.exception), error_text) # Incorrect prefix parsed_json = json.loads('''{ "status": "Full Success" }''') error_text = ( "Trying one more time...\nResponse value:Full Success does not " "match regexp: \\AWarning\\Z|\\ASuccess\\Z from " "response_expectation" ) with self.assertRaises( exceptions.RecoverableResponseException ) as error: utility._check_response( parsed_json, [['status', '\\AWarning\\Z|\\ASuccess\\Z']], True) self.assertEqual("{0}".format(error.exception), error_text) def test_process_response(self): parsed_json = json.loads('''{ "id": 10, "name": "Clementina DuBuque", "username": "Moriah.Stanton", "email": "Rey.Padberg@karina.biz", "address": { "street": "Kattie Turnpike", "suite": "Suite 198", "city": "Lebsackbury", "zipcode": "31428-2261", "geo": { "lat": "-38.2386", "lng": "57.2232" } }, "phone": "024-648-3804", "website": "ambrose.net", "company": { "name": "Hoeger LLC", "catchPhrase": "Centralized empowering task-force", "bs": "target end-to-end models" } }''') response = mock.Mock() response.json = mock.Mock(return_value=parsed_json) response.text = '''<object>10</object>''' response.headers = { 'Content-Type': "application/json" } response.cookies = mock.Mock() response.cookies.get_dict = mock.Mock(return_value={'a': 'b'}) # json store_props = {} call = { 'response_format': 'json', 'nonrecoverable_response': [['id', '10'], ['id', '11'], ['id', '12']], 'response_expectation': [['id', '20']], 'response_translation': { "name": ["user-full-name"], "email": ["user-email"], "address": { "city": ["user-city"], "zipcode": ["user-city-zip"], "geo": { "lat": ["user-city-geo", "latitude"], "lng": ["user-city-geo", "longnitude"] } } } } with self.assertRaises( exceptions.NonRecoverableResponseException ): utility._process_response(response, call, {}) # json store_props = {} call = { 'response_format': 'json', 'nonrecoverable_response': [['id', '20']], 'response_expectation': [['id', '10']], 'response_translation': { "name": ["user-full-name"], "email": ["user-email"], "address": { "city": ["user-city"], "zipcode": ["user-city-zip"], "geo": { "lat": ["user-city-geo", "latitude"], "lng": ["user-city-geo", "longnitude"] } } } } utility._process_response(response, call, store_props) self.assertDictEqual(store_props, { 'user-city': u'Lebsackbury', 'user-city-geo': { 'latitude': u'-38.2386', 'longnitude': u'57.2232' }, 'user-city-zip': u'31428-2261', 'user-email': u'Rey.Padberg@karina.biz', 'user-full-name': u'Clementina DuBuque' }) # auto json store_props = {} call = { 'nonrecoverable_response': [['id', '20']], 'response_expectation': [['id', '10']], 'response_translation': { "name": ["user-full-name"], "email": ["user-email"], "address": { "city": ["user-city"], "zipcode": ["user-city-zip"], "geo": { "lat": ["user-city-geo", "latitude"], "lng": ["user-city-geo", "longnitude"] } } } } utility._process_response(response, call, store_props) self.assertDictEqual(store_props, { 'user-city': u'Lebsackbury', 'user-city-geo': { 'latitude': u'-38.2386', 'longnitude': u'57.2232' }, 'user-city-zip': u'31428-2261', 'user-email': u'Rey.Padberg@karina.biz', 'user-full-name': u'Clementina DuBuque' }) # raw response store_props = {} call = { 'response_format': 'raw', } utility._process_response(response, call, store_props) self.assertDictEqual(store_props, {}) # text response store_props = {} call = { 'response_format': 'text', } utility._process_response(response, call, store_props) self.assertDictEqual(store_props, {'text': '<object>10</object>'}) # unknown response store_props = {} call = { 'response_format': 'other', } with self.assertRaises( exceptions.WrongTemplateDataException ) as error: utility._process_response(response, call, store_props) self.assertEqual( "{0}".format(error.exception), "Response_format 'other' is not supported. Only json/xml or raw " "response_format is supported") self.assertDictEqual(store_props, {}) # xml response store_props = {} call = { 'response_format': 'xml', 'nonrecoverable_response': [['object', '20']], 'response_expectation': [['object', '10']], 'response_translation': { "object": ["object_id"] } } utility._process_response(response, call, store_props) self.assertDictEqual(store_props, {'object_id': '10'}) # auto xml response response.headers = { 'Content-Type': 'application/xml' } store_props = {} call = { 'nonrecoverable_response': [['object', '20']], 'response_expectation': [['object', '10']], 'response_translation': { "object": ["object_id"] }, 'header_translation': { "Content-Type": ["content_type"] } } utility._process_response(response, call, store_props) self.assertDictEqual(store_props, {'object_id': '10', 'content_type': 'application/xml'}) # can't use autodetected type, failback to json response.headers = { 'Content-Type': "json-alias" } store_props = {} call = { 'nonrecoverable_response': [['id', '20']], 'response_expectation': [['id', '10']], 'response_translation': { "name": ["user-full-name"], "email": ["user-email"], "address": { "city": ["user-city"], "zipcode": ["user-city-zip"], "geo": { "lat": ["user-city-geo", "latitude"], "lng": ["user-city-geo", "longnitude"] } } } } utility._process_response(response, call, store_props) self.assertDictEqual(store_props, { 'user-city': u'Lebsackbury', 'user-city-geo': { 'latitude': u'-38.2386', 'longnitude': u'57.2232' }, 'user-city-zip': u'31428-2261', 'user-email': u'Rey.Padberg@karina.biz', 'user-full-name': u'Clementina DuBuque' }) def test_send_request(self): # json request call = { 'ssl': True, 'path': "/", 'method': 'get', 'verify': False, 'host': 'localhost', 'auth': { 'user': 'someone', 'password': 'check' }, 'port': -1, 'payload': [1, 2, 3], 'headers': {"a": "b"}, 'response_format': 'xml', 'nonrecoverable_response': [['object', '20']], 'response_expectation': [['object', '10']], 'response_translation': { "object": ["object_id"] } } response = mock.Mock() response.json = None response.raise_for_status = mock.Mock() response.text = '''<object>10</object>''' request = mock.Mock(return_value=response) response.headers = {} response.cookies = mock.Mock() response.cookies.get_dict = mock.Mock(return_value={'a': 'b'}) with mock.patch( "cloudify_rest_sdk.utility.requests.request", request ): self.assertEqual(utility._send_request(call), response) request.assert_called_with('get', 'https://localhost:443/', data=None, headers={'a': 'b'}, json=[1, 2, 3], params={}, files=None, auth=('someone', 'check'), cert=None, proxies=None, timeout=None, verify=False) # raw_files with string call = { 'ssl': True, 'path': "/xml", 'method': 'get', 'verify': False, 'host': 'localhost', 'port': -1, 'files_raw': { 'file': 'some_name' }, 'headers': {"a": "b"}, 'response_format': 'xml', 'nonrecoverable_response': [['object', '20']], 'response_expectation': [['object', '10']], 'response_translation': { "object": ["object_id"] } } response = mock.Mock() response.json = None response.raise_for_status = mock.Mock() response.text = '''<object>10</object>''' response.status_code = 404 response.headers = {} response.cookies = mock.Mock() response.cookies.get_dict = mock.Mock(return_value={'a': 'b'}) request = mock.Mock(return_value=response) response_callback = mock.Mock(return_value="abc") def _fake_StringIO(a): return a with mock.patch( "cloudify_rest_sdk.utility.requests.request", request ): with mock.patch( "cloudify_rest_sdk.utility.StringIO", _fake_StringIO ): self.assertEqual( utility._send_request(call, response_callback), response) request.assert_called_with('get', 'https://localhost:443/xml', data=None, headers={'a': 'b'}, json=None, params={}, files={'file': 'abc'}, auth=None, cert=None, proxies=None, timeout=None, verify=False) # raw_files with list call = { 'ssl': True, 'path': "/xml", 'method': 'get', 'verify': False, 'host': 'localhost', 'port': -1, 'files': { 'file': ['a', 'b', 'c'] }, 'headers': {"a": "b"}, 'response_format': 'xml', 'nonrecoverable_response': [['object', '20']], 'response_expectation': [['object', '10']], 'response_translation': { "object": ["object_id"] } } response = mock.Mock() response.json = None response.raise_for_status = mock.Mock() response.text = '''<object>10</object>''' response.status_code = 404 response.headers = {} response.cookies = mock.Mock() response.cookies.get_dict = mock.Mock(return_value={'a': 'b'}) request = mock.Mock(return_value=response) response_callback = mock.Mock(return_value="abc") def _fake_StringIO(a): return a with mock.patch( "cloudify_rest_sdk.utility.requests.request", request ): self.assertEqual( utility._send_request(call, response_callback), response) request.assert_called_with('get', 'https://localhost:443/xml', data=None, headers={'a': 'b'}, json=None, params={}, files={'file': ('a', 'b', 'c')}, auth=None, cert=None, proxies=None, timeout=None, verify=False) # raw_files with tuple call = { 'ssl': True, 'path': "/xml", 'method': 'get', 'verify': False, 'host': 'localhost', 'port': -1, 'files': { 'file': ('a', 'b', 'c') }, 'headers': {"a": "b"}, 'response_format': 'xml', 'nonrecoverable_response': [['object', '20']], 'response_expectation': [['object', '10']], 'response_translation': { "object": ["object_id"] } } response = mock.Mock() response.json = None response.raise_for_status = mock.Mock() response.text = '''<object>10</object>''' response.status_code = 404 response.headers = {} response.cookies = mock.Mock() response.cookies.get_dict = mock.Mock(return_value={'a': 'b'}) request = mock.Mock(return_value=response) response_callback = mock.Mock(return_value="abc") def _fake_StringIO(a): return a with mock.patch( "cloudify_rest_sdk.utility.requests.request", request ): self.assertEqual( utility._send_request(call, response_callback), response) request.assert_called_with('get', 'https://localhost:443/xml', data=None, headers={'a': 'b'}, json=None, params={}, files={'file': ('a', 'b', 'c')}, auth=None, cert=None, proxies=None, timeout=None, verify=False) # xml request call = { 'ssl': True, 'path': "/xml", 'method': 'get', 'verify': False, 'host': 'localhost', 'port': -1, 'payload': '<object>11</object>', 'payload_format': 'raw', 'headers': {"a": "b"}, 'response_format': 'xml', 'nonrecoverable_response': [['object', '20']], 'response_expectation': [['object', '10']], 'response_translation': { "object": ["object_id"] } } response = mock.Mock() response.json = None response.raise_for_status = mock.Mock() response.text = '''<object>10</object>''' response.status_code = 404 response.headers = {} response.cookies = mock.Mock() response.cookies.get_dict = mock.Mock(return_value={'a': 'b'}) request = mock.Mock(return_value=response) with mock.patch( "cloudify_rest_sdk.utility.requests.request", request ): self.assertEqual(utility._send_request(call), response) request.assert_called_with('get', 'https://localhost:443/xml', data='<object>11</object>', headers={'a': 'b'}, json=None, params={}, files=None, auth=None, cert=None, proxies=None, timeout=None, verify=False) # raise error on request status response.raise_for_status = mock.Mock( side_effect=utility.requests.exceptions.HTTPError('Error!') ) with mock.patch( "cloudify_rest_sdk.utility.requests.request", request ): with self.assertRaises( utility.requests.exceptions.HTTPError ) as error: self.assertEqual(utility._send_request(call), response) self.assertEqual("{0}".format(error.exception), 'Error!') # expected error call['recoverable_codes'] = [404] with mock.patch( "cloudify_rest_sdk.utility.requests.request", request ): with self.assertRaises( exceptions.RecoverableStatusCodeCodeException ) as error: utility._send_request(call) self.assertEqual( "{0}".format(error.exception), 'Response code 404 defined as recoverable') # expected error accepted as successful call['recoverable_codes'] = [] call['successful_codes'] = [404] with mock.patch( "cloudify_rest_sdk.utility.requests.request", request ): self.assertEqual(utility._send_request(call), response) # can't connect request = mock.Mock( side_effect=utility.requests.exceptions.ConnectionError( 'check connect') ) with mock.patch( "cloudify_rest_sdk.utility.requests.request", request ): with self.assertRaises( utility.requests.exceptions.ConnectionError ) as error: self.assertEqual(utility._send_request(call), response) self.assertEqual("{0}".format(error.exception), "check connect") # ignore conenction errors call['retry_on_connection_error'] = True request = mock.Mock( side_effect=utility.requests.exceptions.ConnectionError( 'check connect') ) with mock.patch( "cloudify_rest_sdk.utility.requests.request", request ): with self.assertRaises( exceptions.RecoverableResponseException ) as error: self.assertEqual(utility._send_request(call), response) self.assertEqual( repr(error.exception), "RecoverableResponseException(\"ConnectionError " "ConnectionError('check connect',) has occurred, but flag " "retry_on_connection_error is set. Retrying...\",)" ) def test_process_pre_render(self): # without params template = """ rest_calls: - ssl: true path: "/xml" method: get verify: false host: localhost port: -1 payload: {{ payload }} payload_format: raw headers: a: b response_format: xml nonrecoverable_response: [['object', '20']] response_expectation: [['object', '10']] response_translation: object: - object_id""" response = mock.Mock() response.json = None response.raise_for_status = mock.Mock() response.text = '''<object>10</object>''' response.status_code = 404 response.headers = { 'Content-Type': "application/json" } response.cookies = mock.Mock() response.cookies.get_dict = mock.Mock(return_value={'a': 'b'}) request = mock.Mock(return_value=response) with mock.patch( "cloudify_rest_sdk.utility.requests.request", request ): self.assertEqual( utility.process({'payload': '<object>11</object>'}, template, {}, prerender=True), { 'calls': [{ 'headers': {'a': 'b'}, 'host': 'localhost', 'method': 'get', 'nonrecoverable_response': [['object']], 'path': '/xml', 'payload': '<object>11</object>', 'payload_format': 'raw', 'port': -1, 'response_expectation': [['object']], 'response_format': 'xml', 'response_translation': {'object': []}, 'ssl': True, 'verify': False }], 'result_properties': {'object_id': u'10'}}) request.assert_called_with('get', 'https://localhost:443/xml', data='<object>11</object>', headers={'a': 'b'}, json=None, params={}, files=None, auth=None, cert=None, proxies=None, timeout=None, verify=False) # check rawpayload template = """ rest_calls: - ssl: true path: "/xml" method: get verify: false host: localhost port: -1 raw_payload: payload.xml payload: {{ payload }} payload_format: raw headers: a: b response_format: xml nonrecoverable_response: [['object', '20']] response_expectation: [['object', '10']] response_translation: object: - object_id""" payload_callback = mock.Mock(return_value="<object>22</object>") response = mock.Mock() response.json = None response.raise_for_status = mock.Mock() response.text = '''<object>10</object>''' response.status_code = 404 response.headers = { 'Content-Type': "application/json" } response.cookies = mock.Mock() response.cookies.get_dict = mock.Mock(return_value={'a': 'b'}) request = mock.Mock(return_value=response) with mock.patch( "cloudify_rest_sdk.utility.requests.request", request ): self.assertEqual( utility.process({'payload': '<object>11</object>'}, template, {}, prerender=True, resource_callback=payload_callback), { 'calls': [{ 'headers': {'a': 'b'}, 'host': 'localhost', 'method': 'get', 'nonrecoverable_response': [['object']], 'path': '/xml', 'raw_payload': 'payload.xml', 'payload': '<object>11</object>', 'payload_format': 'raw', 'port': -1, 'response_expectation': [['object']], 'response_format': 'xml', 'response_translation': {'object': []}, 'ssl': True, 'verify': False }], 'result_properties': {'object_id': u'10'}}) request.assert_called_with('get', 'https://localhost:443/xml', data='<object>22</object>', headers={'a': 'b'}, json=None, params={}, files=None, auth=None, cert=None, proxies=None, timeout=None, verify=False) payload_callback.assert_called_with('payload.xml') def test_process_empty(self): # no calls in template template = """ rest_calls: """ self.assertEqual(utility.process({}, template, {}), {}) # empty template self.assertEqual(utility.process({}, "", {}), {}) def test_process_post_render(self): # check server/client side cert template = """ rest_calls: - ssl: true path: "/xml" method: get verify: "some_server_cert" cert: "some_client_cert" timeout: 300 host: localhost port: -1 payload: '<object>11</object>' payload_format: raw headers: a: b response_format: xml nonrecoverable_response: [['object', '20']] response_expectation: [['object', '10']] response_translation: object: - object_id""" response = mock.Mock() response.json = None response.raise_for_status = mock.Mock() response.text = '''<object>10</object>''' response.status_code = 404 response.headers = { 'Content-Type': "application/json" } response.cookies = mock.Mock() response.cookies.get_dict = mock.Mock(return_value={'a': 'b'}) request = mock.Mock(return_value=response) with mock.patch( "cloudify_rest_sdk.utility.requests.request", request ): with mock.patch( "cloudify_rest_sdk.utility.tempfile.mkstemp", mock.Mock(return_value=['fake_fd', '/tmp/fake_tmp']) ): fake_os = mock.Mock() fake_os.path.isfile = mock.Mock(return_value=False) fake_os.remove = mock.Mock( side_effect=Exception("can't remove")) with mock.patch("cloudify_rest_sdk.utility.os", fake_os): self.assertEqual( utility.process({}, template, {}), { 'calls': [{ 'headers': {'a': 'b'}, 'host': 'localhost', 'method': 'get', 'nonrecoverable_response': [['object']], 'path': '/xml', 'payload': '<object>11</object>', 'payload_format': 'raw', 'port': -1, 'response_expectation': [['object']], 'response_format': 'xml', 'response_translation': {'object': []}, 'ssl': True, 'timeout': 300, 'cert': "some_client_cert", 'verify': "some_server_cert", }], 'result_properties': {'object_id': u'10'}}) request.assert_called_with('get', 'https://localhost:443/xml', data='<object>11</object>', headers={'a': 'b'}, json=None, params={}, files=None, auth=None, cert='/tmp/fake_tmp', proxies=None, timeout=300, verify='/tmp/fake_tmp') # without params template = """ rest_calls: - ssl: true path: "/xml" method: get verify: false host: localhost port: -1 payload: '<object>11</object>' payload_format: raw headers: a: b response_format: xml nonrecoverable_response: [['object', '20']] response_expectation: [['object', '10']] response_translation: object: - object_id""" response = mock.Mock() response.json = None response.raise_for_status = mock.Mock() response.text = '''<object>10</object>''' response.status_code = 404 response.headers = { 'Content-Type': "application/json" } response.cookies = mock.Mock() response.cookies.get_dict = mock.Mock(return_value={'a': 'b'}) request = mock.Mock(return_value=response) with mock.patch( "cloudify_rest_sdk.utility.requests.request", request ): self.assertEqual( utility.process({}, template, {}), { 'calls': [{ 'headers': {'a': 'b'}, 'host': 'localhost', 'method': 'get', 'nonrecoverable_response': [['object']], 'path': '/xml', 'payload': '<object>11</object>', 'payload_format': 'raw', 'port': -1, 'response_expectation': [['object']], 'response_format': 'xml', 'response_translation': {'object': []}, 'ssl': True, 'verify': False }], 'result_properties': {'object_id': u'10'}}) request.assert_called_with('get', 'https://localhost:443/xml', data='<object>11</object>', headers={'a': 'b'}, json=None, params={}, files=None, auth=None, cert=None, proxies=None, timeout=None, verify=False) # check post apply parameters template = """ rest_calls: - ssl: true path: "/xml" method: get verify: false host: localhost port: -1 payload: "{% if custom is not string %}{{custom}}{% endif %}" payload_format: raw headers: a: b response_format: xml nonrecoverable_response: [['object', '20']] response_expectation: [['object', '10']] response_translation: object: - object_id""" request = mock.Mock(return_value=response) with mock.patch( "cloudify_rest_sdk.utility.requests.request", request ): self.assertEqual( utility.process({'custom': [1, 2, 3]}, template, {}, ), { 'calls': [{ 'headers': {'a': 'b'}, 'host': 'localhost', 'method': 'get', 'nonrecoverable_response': [['object']], 'path': '/xml', 'payload': [1, 2, 3], 'payload_format': 'raw', 'port': -1, 'response_expectation': [['object']], 'response_format': 'xml', 'response_translation': {'object': []}, 'ssl': True, 'verify': False }], 'result_properties': {'object_id': u'10'}}) request.assert_called_with('get', 'https://localhost:443/xml', data=[1, 2, 3], headers={'a': 'b'}, json=None, params={}, files=None, auth=None, cert=None, proxies=None, timeout=None, verify=False) # urlencode template = """ rest_calls: - ssl: true path: "/xml" method: get verify: false host: localhost port: -1 payload: object: 11 payload_format: urlencoded headers: a: b response_format: xml nonrecoverable_response: [['object', '20']] response_expectation: [['object', '10']] cookies_translation: a: - a response_translation: object: - object_id""" response = mock.Mock() response.json = None response.raise_for_status = mock.Mock() response.text = '''<object>10</object>''' response.status_code = 404 response.headers = { 'Content-Type': "application/json" } response.cookies = mock.Mock() response.cookies.get_dict = mock.Mock(return_value={'a': 'b'}) request = mock.Mock(return_value=response) with mock.patch( "cloudify_rest_sdk.utility.requests.request", request ): self.assertEqual( utility.process({}, template, {}), { 'calls': [{ 'headers': {'a': 'b'}, 'host': 'localhost', 'method': 'get', 'nonrecoverable_response': [['object']], 'path': '/xml', 'payload': { 'object': 11 }, 'payload_format': 'urlencoded', 'port': -1, 'response_expectation': [['object']], 'response_format': 'xml', 'response_translation': {'object': []}, 'cookies_translation': {'a': []}, 'ssl': True, 'verify': False }], 'result_properties': { 'object_id': '10', 'a': 'b' }}) request.assert_called_with('get', 'https://localhost:443/xml', data=None, headers={'a': 'b'}, json=None, params={'object': 11}, files=None, auth=None, cert=None, proxies=None, timeout=None, verify=False) if __name__ == '__main__': unittest.main()

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4642ea7b1180c3f6bb033b61183c8b8b66b9fc97

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py

Python

generators/common/blocks.py

mumumu99/latent-pose-reenactment

bfe8175f9cf3d67d46c21194bb5b6f898ef3ea53

[ "Apache-2.0" ]

103

2020-10-28T10:35:39.000Z

2022-03-21T12:58:27.000Z

generators/common/blocks.py

jiaxiangshang/latent-pose-reenactment

59629a64105c7c33fa01c461a3c65d3690f8533c

[ "Apache-2.0" ]

37

2020-10-29T02:32:28.000Z

2022-02-26T16:06:55.000Z

generators/common/blocks.py

jiaxiangshang/latent-pose-reenactment

59629a64105c7c33fa01c461a3c65d3690f8533c

[ "Apache-2.0" ]

26

2020-11-05T12:42:01.000Z

2022-02-11T08:59:52.000Z

import torch from torch import nn from torch.nn.utils import spectral_norm class AdaptiveNorm2d(nn.Module): def __init__(self, num_features, norm_layer='in', eps=1e-4): super(AdaptiveNorm2d, self).__init__() self.num_features = num_features self.weight = self.bias = None if 'in' in norm_layer: self.norm_layer = nn.InstanceNorm2d(num_features, eps=eps, affine=False) elif 'bn' in norm_layer: self.norm_layer = SyncBatchNorm(num_features, momentum=1.0, eps=eps, affine=False) self.delete_weight_on_forward = True def forward(self, input): out = self.norm_layer(input) output = out * self.weight[:, :, None, None] + self.bias[:, :, None, None] # To save GPU memory if self.delete_weight_on_forward: self.weight = self.bias = None return output class AdaptiveNorm2dTrainable(nn.Module): def __init__(self, num_features, norm_layer='in', eps=1e-4): super(AdaptiveNorm2dTrainable, self).__init__() self.num_features = num_features if 'in' in norm_layer: self.norm_layer = nn.InstanceNorm2d(num_features, eps=eps, affine=False) def forward(self, input): out = self.norm_layer(input) t = out.shape[0] // self.weight.shape[0] output = out * self.weight + self.bias return output def assign_params(self, weight, bias): self.weight = torch.nn.Parameter(weight.view(1, -1, 1, 1)) self.bias = torch.nn.Parameter(bias.view(1, -1, 1, 1)) class ResBlock(nn.Module): def __init__(self, in_channels, out_channels, padding, upsample, downsample, norm_layer, activation=nn.ReLU, gated=False): super(ResBlock, self).__init__() normalize = norm_layer != 'none' bias = not normalize # if norm_layer == 'bn': # # norm0 = SyncBatchNorm(in_channels, momentum=1.0, eps=1e-4) # # norm1 = SyncBatchNorm(out_channels, momentum=1.0, eps=1e-4) # pass if norm_layer == 'in': norm0 = nn.InstanceNorm2d(in_channels, eps=1e-4, affine=True) norm1 = nn.InstanceNorm2d(out_channels, eps=1e-4, affine=True) elif 'ada' in norm_layer: norm0 = AdaptiveNorm2d(in_channels, norm_layer) norm1 = AdaptiveNorm2d(out_channels, norm_layer) elif 'tra' in norm_layer: norm0 = AdaptiveNorm2dTrainable(in_channels, norm_layer) norm1 = AdaptiveNorm2dTrainable(out_channels, norm_layer) elif normalize: raise Exception('ResBlock: Incorrect `norm_layer` parameter') layers = [] if normalize: layers.append(norm0) layers.append(activation(inplace=True)) if upsample: layers.append(nn.Upsample(scale_factor=2)) layers.extend([ nn.Sequential() if padding is nn.ZeroPad2d else padding(1), spectral_norm( nn.Conv2d(in_channels, out_channels, 3, 1, 1 if padding is nn.ZeroPad2d else 0, bias=bias), eps=1e-4)]) if normalize: layers.append(norm1) layers.extend([ activation(inplace=True), nn.Sequential() if padding is nn.ZeroPad2d else padding(1), spectral_norm( nn.Conv2d(out_channels, out_channels, 3, 1, 1 if padding is nn.ZeroPad2d else 0, bias=bias), eps=1e-4)]) if downsample: layers.append(nn.AvgPool2d(2)) self.block = nn.Sequential(*layers) self.skip = None if in_channels != out_channels or upsample or downsample: layers = [] if upsample: layers.append(nn.Upsample(scale_factor=2)) layers.append(spectral_norm( nn.Conv2d(in_channels, out_channels, 1), eps=1e-4)) if downsample: layers.append(nn.AvgPool2d(2)) self.skip = nn.Sequential(*layers) def forward(self, input): out = self.block(input) if self.skip is not None: output = out + self.skip(input) else: output = out + input return output class channelShuffle(nn.Module): def __init__(self,groups): super(channelShuffle, self).__init__() self.groups=groups def forward(self,x): batchsize, num_channels, height, width = x.data.size() # batchsize = x.shape[0] # num_channels = x.shape[1] # height = x.shape[2] # width = x.shape[3] channels_per_group = num_channels // self.groups # reshape x = x.view(batchsize, self.groups, channels_per_group, height, width) # transpose # - contiguous() required if transpose() is used before view(). # See https://github.com/pytorch/pytorch/issues/764 x = torch.transpose(x, 1, 2).contiguous() # flatten x = x.view(batchsize, -1, height, width) return x class shuffleConv(nn.Module): def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros'): super(shuffleConv, self).__init__() self.in_channels=in_channels self.out_channels=out_channels self.stride=stride self.padding=padding groups=4 block=[] if (in_channels%groups==0) and (out_channels%groups==0): block.append(spectral_norm(nn.Conv2d(in_channels=in_channels, out_channels=out_channels, kernel_size=1,padding=0, groups=groups),eps=1e-4)) block.append(nn.ReLU6(inplace=True)) block.append(channelShuffle(groups=groups)) block.append(spectral_norm(nn.Conv2d(in_channels=out_channels, out_channels=out_channels,kernel_size=3,padding=1, groups=groups),eps=1e-4)) block.append(nn.ReLU6(inplace=True)) block.append(spectral_norm(nn.Conv2d(in_channels=out_channels, out_channels=out_channels,kernel_size=1,padding=0, groups=groups),eps=1e-4)) else: block.append(spectral_norm(nn.Conv2d(in_channels=in_channels, out_channels=out_channels, kernel_size=3,padding=1),eps=1e-4)) self.block=nn.Sequential(*block) def forward(self,x): x=self.block(x) return x class ResBlockShuffle(nn.Module): def __init__(self, in_channels, out_channels, padding, upsample, downsample, norm_layer, activation=nn.ReLU, gated=False): super(ResBlockShuffle, self).__init__() normalize = norm_layer != 'none' bias = not normalize # if norm_layer == 'bn': # # norm0 = SyncBatchNorm(in_channels, momentum=1.0, eps=1e-4) # # norm1 = SyncBatchNorm(out_channels, momentum=1.0, eps=1e-4) # pass if norm_layer == 'in': norm0 = nn.InstanceNorm2d(in_channels, eps=1e-4, affine=True) norm1 = nn.InstanceNorm2d(out_channels, eps=1e-4, affine=True) elif 'ada' in norm_layer: norm0 = AdaptiveNorm2d(in_channels, norm_layer) norm1 = AdaptiveNorm2d(out_channels, norm_layer) elif 'tra' in norm_layer: norm0 = AdaptiveNorm2dTrainable(in_channels, norm_layer) norm1 = AdaptiveNorm2dTrainable(out_channels, norm_layer) elif normalize: raise Exception('ResBlock: Incorrect `norm_layer` parameter') layers = [] if normalize: layers.append(norm0) layers.append(activation(inplace=True)) if upsample: layers.append(nn.Upsample(scale_factor=2)) layers.extend([ #padding(1), #spectral_norm( shuffleConv(in_channels, out_channels, 3, 1, 0, bias=bias)#, # eps=1e-4) ]) if normalize: layers.append(norm1) layers.extend([ activation(inplace=True), #padding(1), #spectral_norm( shuffleConv(out_channels, out_channels, 3, 1, 0, bias=bias)#, # eps=1e-4) ]) if downsample: layers.append(nn.AvgPool2d(2)) self.block = nn.Sequential(*layers) self.skip = None if in_channels != out_channels or upsample or downsample: layers = [] if upsample: layers.append(nn.Upsample(scale_factor=2)) layers.append( #spectral_norm( shuffleConv(in_channels, out_channels, 1)#, # eps=1e-4) ) if downsample: layers.append(nn.AvgPool2d(2)) self.skip = nn.Sequential(*layers) def forward(self, input): out = self.block(input) if self.skip is not None: output = out + self.skip(input) else: output = out + input return output class ResBlockV2(nn.Module): def __init__(self, in_channels, out_channels, stride, groups, resize_layer, norm_layer, activation): super(ResBlockV2, self).__init__() upsampling_layers = { 'nearest': lambda: nn.Upsample(scale_factor=stride, mode='nearest') } downsampling_layers = { 'avgpool': lambda: nn.AvgPool2d(stride) } norm_layers = { 'bn': lambda num_features: SyncBatchNorm(num_features, momentum=1.0, eps=1e-4), 'in': lambda num_features: nn.InstanceNorm2d(num_features, eps=1e-4, affine=True), 'adabn': lambda num_features: AdaptiveNorm2d(num_features, 'bn'), 'adain': lambda num_features: AdaptiveNorm2d(num_features, 'in') } normalize = norm_layer != 'none' bias = not normalize upsample = resize_layer in upsampling_layers downsample = resize_layer in downsampling_layers if normalize: norm_layer = norm_layers[norm_layer] layers = [] if normalize: layers.append(norm_layer(in_channels)) layers.append(activation()) if upsample: layers.append(nn.Upsample(scale_factor=2)) layers.extend([ spectral_norm( nn.Conv2d(in_channels, out_channels, 3, 1, 1, bias=bias), eps=1e-4)]) if normalize: layers.append(norm_layer(out_channels)) layers.extend([ activation(), spectral_norm( nn.Conv2d(out_channels, out_channels, 3, 1, 1, bias=bias), eps=1e-4)]) if downsample: layers.append(nn.AvgPool2d(2)) self.block = nn.Sequential(*layers) self.skip = None if in_channels != out_channels or upsample or downsample: layers = [] if upsample: layers.append(nn.Upsample(scale_factor=2)) layers.append(spectral_norm( nn.Conv2d(in_channels, out_channels, 1), eps=1e-4)) if downsample: layers.append(nn.AvgPool2d(2)) self.skip = nn.Sequential(*layers) def forward(self, input): out = self.block(input) if self.skip is not None: output = out + self.skip(input) else: output = out + input return output class ResBlockV2Shuffle(nn.Module): def __init__(self, in_channels, out_channels, stride, groups, resize_layer, norm_layer, activation): super(ResBlockV2Shuffle, self).__init__() upsampling_layers = { 'nearest': lambda: nn.Upsample(scale_factor=stride, mode='nearest') } downsampling_layers = { 'avgpool': lambda: nn.AvgPool2d(stride) } norm_layers = { 'bn': lambda num_features: SyncBatchNorm(num_features, momentum=1.0, eps=1e-4), 'in': lambda num_features: nn.InstanceNorm2d(num_features, eps=1e-4, affine=True), 'adabn': lambda num_features: AdaptiveNorm2d(num_features, 'bn'), 'adain': lambda num_features: AdaptiveNorm2d(num_features, 'in') } normalize = norm_layer != 'none' bias = not normalize upsample = resize_layer in upsampling_layers downsample = resize_layer in downsampling_layers if normalize: norm_layer = norm_layers[norm_layer] layers = [] if normalize: layers.append(norm_layer(in_channels)) layers.append(activation()) if upsample: layers.append(nn.Upsample(scale_factor=2)) layers.extend([ #spectral_norm( shuffleConv(in_channels, out_channels, 3, 1, 1, bias=bias)#, # eps=1e-4) ]) if normalize: layers.append(norm_layer(out_channels)) layers.extend([ activation(), #spectral_norm( shuffleConv(out_channels, out_channels, 3, 1, 1, bias=bias)#, # eps=1e-4) ]) if downsample: layers.append(nn.AvgPool2d(2)) self.block = nn.Sequential(*layers) self.skip = None if in_channels != out_channels or upsample or downsample: layers = [] if upsample: layers.append(nn.Upsample(scale_factor=2)) layers.append(#spectral_norm( shuffleConv(in_channels, out_channels, 1)#, # eps=1e-4) ) if downsample: layers.append(nn.AvgPool2d(2)) self.skip = nn.Sequential(*layers) def forward(self, input): out = self.block(input) if self.skip is not None: output = out + self.skip(input) else: output = out + input return output class GatedBlock(nn.Module): def __init__(self, in_channels, out_channels, act_fun, kernel_size, stride=1, padding=0, bias=True): super(GatedBlock, self).__init__() self.conv = spectral_norm(nn.Conv2d(in_channels, out_channels, kernel_size, stride, padding, bias=bias), eps=1e-4) self.gate = spectral_norm(nn.Conv2d(in_channels, out_channels, kernel_size, stride, padding, bias=bias), eps=1e-4) self.act_fun = act_fun() self.gate_act_fun = nn.Sigmoid() def forward(self, x): out = self.conv(x) out = self.act_fun(out) mask = self.gate(x) mask = self.gate_act_fun(mask) out_masked = out * mask return out_masked class GatedResBlock(nn.Module): def __init__(self, in_channels, out_channels, padding, upsample, downsample, norm_layer, activation=nn.ReLU): super(GatedResBlock, self).__init__() normalize = norm_layer != 'none' bias = not normalize if norm_layer == 'in': norm0 = nn.InstanceNorm2d(in_channels, eps=1e-4, affine=True) norm1 = nn.InstanceNorm2d(out_channels, eps=1e-4, affine=True) elif 'ada' in norm_layer: norm0 = AdaptiveNorm2d(in_channels, norm_layer) norm1 = AdaptiveNorm2d(out_channels, norm_layer) elif 'tra' in norm_layer: norm0 = AdaptiveNorm2dTrainable(in_channels, norm_layer) norm1 = AdaptiveNorm2dTrainable(out_channels, norm_layer) elif normalize: raise Exception('ResBlock: Incorrect `norm_layer` parameter') main_layers = [] if normalize: main_layers.append(norm0) if upsample: main_layers.append(nn.Upsample(scale_factor=2)) main_layers.extend([ padding(1), GatedBlock(in_channels, out_channels, activation, 3, 1, 0, bias=bias)]) if normalize: main_layers.append(norm1) main_layers.extend([ padding(1), GatedBlock(out_channels, out_channels, activation, 3, 1, 0, bias=bias)]) if downsample: main_layers.append(nn.AvgPool2d(2)) self.main_pipe = nn.Sequential(*main_layers) self.skip_pipe = None if in_channels != out_channels or upsample or downsample: skip_layers = [] if upsample: skip_layers.append(nn.Upsample(scale_factor=2)) skip_layers.append(GatedBlock(in_channels, out_channels, activation, 1)) if downsample: skip_layers.append(nn.AvgPool2d(2)) self.skip_pipe = nn.Sequential(*skip_layers) def forward(self, input): mp_out = self.main_pipe(input) if self.skip_pipe is not None: output = mp_out + self.skip_pipe(input) else: output = mp_out + input return output class ResBlockWithoutSpectralNorms(nn.Module): def __init__(self, in_channels, out_channels, padding, upsample, downsample, norm_layer, activation=nn.ReLU): super(ResBlockWithoutSpectralNorms, self).__init__() normalize = norm_layer != 'none' bias = not normalize # if norm_layer == 'bn': # # norm0 = SyncBatchNorm(in_channels, momentum=1.0, eps=1e-4) # # norm1 = SyncBatchNorm(out_channels, momentum=1.0, eps=1e-4) # pass if norm_layer == 'in': norm0 = nn.InstanceNorm2d(in_channels, eps=1e-4, affine=True) norm1 = nn.InstanceNorm2d(out_channels, eps=1e-4, affine=True) elif 'ada' in norm_layer: norm0 = AdaptiveNorm2d(in_channels, norm_layer) norm1 = AdaptiveNorm2d(out_channels, norm_layer) elif 'tra' in norm_layer: norm0 = AdaptiveNorm2dTrainable(in_channels, norm_layer) norm1 = AdaptiveNorm2dTrainable(out_channels, norm_layer) elif normalize: raise Exception('ResBlock: Incorrect `norm_layer` parameter') layers = [] if normalize: layers.append(norm0) layers.append(activation(inplace=True)) if upsample: layers.append(nn.Upsample(scale_factor=2)) layers.extend([ padding(1), # spectral_norm( nn.Conv2d(in_channels, out_channels, 3, 1, 0, bias=bias) # , # eps=1e-4) ]) if normalize: layers.append(norm1) layers.extend([ activation(inplace=True), padding(1), # spectral_norm( nn.Conv2d(out_channels, out_channels, 3, 1, 0, bias=bias) # , # eps=1e-4) ]) if downsample: layers.append(nn.AvgPool2d(2)) self.block = nn.Sequential(*layers) self.skip = None if in_channels != out_channels or upsample or downsample: layers = [] if upsample: layers.append(nn.Upsample(scale_factor=2)) layers.append( # spectral_norm( nn.Conv2d(in_channels, out_channels, 1) # , # eps=1e-4) ) if downsample: layers.append(nn.AvgPool2d(2)) self.skip = nn.Sequential(*layers) def forward(self, input): out = self.block(input) if self.skip is not None: output = out + self.skip(input) else: output = out + input return output class MobileNetBlock(nn.Module): def __init__(self, in_channels, out_channels, padding, upsample, downsample, norm_layer, activation=nn.ReLU6, expansion_factor=6): super(MobileNetBlock, self).__init__() normalize = norm_layer != 'none' bias = not normalize conv0 = nn.Conv2d(in_channels, int(in_channels * expansion_factor), 1) dwise = nn.Conv2d(int(in_channels * expansion_factor), int(in_channels * expansion_factor), 3, 2 if downsample else 1, 1, groups=int(in_channels * expansion_factor)) conv1 = nn.Conv2d(int(in_channels * expansion_factor), out_channels, 1) if norm_layer == 'bn': # norm0 = SyncBatchNorm(in_channels, momentum=1.0, eps=1e-4) # norm1 = SyncBatchNorm(out_channels, momentum=1.0, eps=1e-4) pass if 'in' in norm_layer: norm0 = nn.InstanceNorm2d(int(in_channels * expansion_factor), eps=1e-4, affine=True) norm1 = nn.InstanceNorm2d(int(in_channels * expansion_factor), eps=1e-4, affine=True) norm2 = nn.InstanceNorm2d(out_channels, eps=1e-4, affine=True) if 'ada' in norm_layer: norm2 = AdaptiveNorm2d(out_channels, norm_layer) elif 'tra' in norm_layer: norm2 = AdaptiveNorm2dTrainable(out_channels, norm_layer) # layers = [spectral_norm(conv0, eps=1e-4)] layers = [conv0] if normalize: layers.append(norm0) layers.append(activation(inplace=True)) if upsample: layers.append(nn.Upsample(scale_factor=2)) # layers.append(spectral_norm(dwise, eps=1e-4)) layers.append(dwise) if normalize: layers.append(norm1) layers.extend([ activation(inplace=True), # spectral_norm( conv1 # , # eps=1e-4) ]) if normalize: layers.append(norm2) self.block = nn.Sequential(*layers) self.skip = None if in_channels != out_channels or upsample or downsample: layers = [] if upsample: layers.append(nn.Upsample(scale_factor=2)) layers.append( # spectral_norm( nn.Conv2d(in_channels, out_channels, 1) # , # eps=1e-4) ) if downsample: layers.append(nn.AvgPool2d(2)) self.skip = nn.Sequential(*layers) def forward(self, input): out = self.block(input) if self.skip is not None: output = out + self.skip(input) else: output = out + input return output class SelfAttention(nn.Module): def __init__(self, in_channels): super(SelfAttention, self).__init__() self.in_channels = in_channels self.query_conv = nn.Conv2d(in_channels, in_channels // 8, 1) self.key_conv = nn.Conv2d(in_channels, in_channels // 8, 1) self.value_conv = nn.Conv2d(in_channels, in_channels, 1) self.gamma = nn.Parameter(torch.zeros(1)) self.softmax = nn.Softmax(-1) def forward(self, input): b, c, h, w = input.shape query = self.query_conv(input).view(b, -1, h * w).permute(0, 2, 1) # B x HW x C/8 key = self.key_conv(input).view(b, -1, h * w) # B x C/8 x HW energy = torch.bmm(query, key) # B x HW x HW attention = self.softmax(energy) # B x HW x HW value = self.value_conv(input).view(b, -1, h * w) # B x C x HW out = torch.bmm(value, attention.permute(0, 2, 1)).view(b, c, h, w) output = self.gamma * out + input return output

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609

152

37.912972

0.791205

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0.015289

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false

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0

null

0

1

0

1

0

null

0

7

467b1de55b22b6a2f742011f1027243315661f66

158

py

Python

_test_projects/templates/index.py

oren0e/cob

f2a5d74a15f5262d7980e4cf1f1a20af29194ffb

[ "BSD-3-Clause" ]

2

2019-04-07T20:19:55.000Z

2021-05-27T10:23:31.000Z

_test_projects/templates/index.py

oren0e/cob

f2a5d74a15f5262d7980e4cf1f1a20af29194ffb

[ "BSD-3-Clause" ]

126

2016-08-10T19:59:45.000Z

2021-11-26T06:58:16.000Z

_test_projects/templates/index.py

oren0e/cob

f2a5d74a15f5262d7980e4cf1f1a20af29194ffb

[ "BSD-3-Clause" ]

6

2017-11-16T12:05:47.000Z

2021-11-24T09:21:17.000Z

# cob: type=views mountpoint=/test from cob import route from flask import render_template @route('/') def index(): return render_template('index.html')

19.75

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22

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1

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null

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0

1

0

7

46955fcca35d4dccd8126ba43bc2ae89fe5c403a

39,289

py

Python

tasks/python/_wf/FEMA4ImagesEEG.py

risoms/mdl-R56

3f6f62f9e5f1aaf03e604c898e3d4b6b006f3436

[ "MIT" ]

null

tasks/python/_wf/FEMA4ImagesEEG.py

risoms/mdl-R56

3f6f62f9e5f1aaf03e604c898e3d4b6b006f3436

[ "MIT" ]

null

tasks/python/_wf/FEMA4ImagesEEG.py

risoms/mdl-R56

3f6f62f9e5f1aaf03e604c898e3d4b6b006f3436

[ "MIT" ]

null

#!/usr/bin/env python2 # -*- coding: utf-8 -*- """ This experiment was partially created using PsychoPy2 Experiment Builder (v1.83.04), Tue Feb 23 13:01:04 2016 If you publish work using this script please cite the relevant PsychoPy publications Peirce, JW (2007) PsychoPy - Psychophysics software in Python. Journal of Neuroscience Methods, 162(1-2), 8-13. Peirce, JW (2009) Generating stimuli for neuroscience using PsychoPy. Frontiers in Neuroinformatics, 2:10. doi: 10.3389/neuro.11.010.2008 """ from __future__ import division # so that 1/3=0.333 instead of 1/3=0 from psychopy import visual, core, data, event, logging, sound, gui, parallel from psychopy.constants import * # things like STARTED, FINISHED import numpy as np # whole numpy lib is available, prepend 'np.' from numpy import sin, cos, tan, log, log10, pi, average, sqrt, std, deg2rad, rad2deg, linspace, asarray from numpy.random import random, randint, normal, shuffle import os # handy system and path functions import sys # to get file system encoding import random locations = ((0, 6.2), (6.2, 0), (0, -6.2), (-6.2, 0)) number_texts = [] NUM_IMAGES = 20 MALE = 0 FEMALE = 1 NUM_BLOCKS = 3 sad_male_images = [] sad_male_images = sad_male_images*int(180/20) neutral_male_images = [] neutral_male_images = neutral_male_images*int(180/20) sad_female_images = [] sad_female_images = sad_female_images*int(180/20) neutral_female_images = [] neutral_female_images = neutral_female_images*int(180/20) corr_answer = 1*16 #equal to R1 in PyCorder incorrect_answer = 2*16 #equal to R2 in PyCorder no_answer = 3*16 #equal to R3 in PyCorder def choose_male_images(): my_faces = [] my_faces.extend(np.random.choice(sad_male_images, 2, False)) my_faces.extend(np.random.choice(neutral_male_images, 2, False)) random.shuffle(my_faces) for i in range(len(my_faces)): my_faces[i].setPos(newPos = locations[i]) thisExp.addData("Image" + str(i) + " _Position", my_faces[i].name) return my_faces def choose_female_images(): my_faces = [] my_faces.extend(np.random.choice(sad_female_images, 2,False)) my_faces.extend(np.random.choice(neutral_female_images, 2,False)) random.shuffle(my_faces) for i in range(len(my_faces)): my_faces[i].setPos(newPos = locations[i]) thisExp.addData("Image" + str(i) + " _Position", my_faces[i].name) return my_faces def get_all_images(win): path_to_images = "stim/" #white male = sad male for i in range(NUM_IMAGES): file = path_to_images + "AMSA" + "%02d" %(i + 1) + ".jpg" name = "AMSA" + "%02d" %(i + 1) + ".jpg" sad_male_images.append(visual.ImageStim(win=win, name=name,units='deg', image=file, mask=None, ori=0, pos=[0, 3.2], size=[6, 6], color=[1,1,1], colorSpace='rgb', opacity=1, flipHoriz=False, flipVert=False, texRes=128, interpolate=True, depth=-6.0)) #black male = neutral male for i in range(NUM_IMAGES): file = path_to_images + "AMNE" + "%02d" %(i + 1) + ".jpg" name = "AMNE" + "%02d" %(i + 1) + ".jpg" neutral_male_images.append(visual.ImageStim(win=win, name=name,units='deg', image=file, mask=None, ori=0, pos=[0, 3.2], size=[6, 6], color=[1,1,1], colorSpace='rgb', opacity=1, flipHoriz=False, flipVert=False, texRes=128, interpolate=True, depth=-6.0)) #white female = sad female for i in range(NUM_IMAGES): file = path_to_images + "AFSA" + "%02d" %(i + 1) + ".jpg" name = "AFSA" + "%02d" %(i + 1) + ".jpg" sad_female_images.append(visual.ImageStim(win=win, name=name,units='deg', image=file, mask=None, ori=0, pos=[0, 3.2], size=[6, 6], color=[1,1,1], colorSpace='rgb', opacity=1, flipHoriz=False, flipVert=False, texRes=128, interpolate=True, depth=-6.0)) #black female = neutral female for i in range(NUM_IMAGES): file = path_to_images + "AFNE" + "%02d" %(i + 1) + ".jpg" name = "AFNE" + "%02d" %(i + 1) + ".jpg" neutral_female_images.append(visual.ImageStim(win=win, name=name,units='deg', image=file, mask=None, ori=0, pos=[0, 3.2], size=[6, 6], color=[1,1,1], colorSpace='rgb', opacity=1, flipHoriz=False, flipVert=False, texRes=128, interpolate=True, depth=-6.0)) # Ensure that relative paths start from the same directory as this script _thisDir = os.path.dirname(os.path.abspath(__file__)).decode(sys.getfilesystemencoding()) os.chdir(_thisDir) # Store info about the experiment session expName = u'FEMA4ImagesEEG' # from the Builder filename that created this script expInfo = {u'session': u'001', u'participant': u''} try: #look for pipe from app expInfo['participant'] = '%s'%(sys.argv[1]) expInfo['session'] = '001' except IndexError: #if no pipe, run normally print ('ran without app') dlg = gui.DlgFromDict(dictionary=expInfo, title=expName) if dlg.OK == False: print ('app closed') core.quit() # user pressed cancel expInfo['date'] = data.getDateStr() # add a simple timestamp expInfo['expName'] = expName print 'subject:',expInfo['participant'] print 'exp:',expName # Data file name stem = absolute path + name; later add .psyexp, .csv, .log, etc filename = _thisDir + os.sep + u'data\%s_%s_%s' %(expInfo['participant'], expName, expInfo['date']) # An ExperimentHandler isn't essential but helps with data saving thisExp = data.ExperimentHandler(name=expName, version='', extraInfo=expInfo, runtimeInfo=None, originPath=None, savePickle=True, saveWideText=True, dataFileName=filename) #save a log file for detail verbose info logFile = logging.LogFile(filename+'.log', level=logging.EXP) logging.console.setLevel(logging.WARNING) # this outputs to the screen, not a file endExpNow = False # flag for 'escape' or other condition => quit the exp # Start Code - component code to be run before the window creation # Setup the Window win = visual.Window(size=(1360, 768), fullscr=False, screen=0, allowGUI=True, allowStencil=False, monitor='testMonitor', color=[0,0,0], colorSpace='rgb', blendMode='avg', useFBO=True, ) # Get all the images get_all_images(win) # store frame rate of monitor if we can measure it successfully expInfo['frameRate']=win.getActualFrameRate() if expInfo['frameRate']!=None: frameDur = 1.0/round(expInfo['frameRate']) else: frameDur = 1.0/60.0 # couldn't get a reliable measure so guess # Initialize components for Routine "Instr" InstrClock = core.Clock() Instructions = visual.TextStim(win=win, ori=0, name='Instructions', text='You will be presented with an array of 4 faces; afterwards you will be presented with a face cue in the center of the screen.\n\nYour task is to indicate the location of the face cue in the previous array by pressing the correct location number (1-4) on the labeled keys.\n\nPlease keep your EYES FIXATED ON THE CROSS.\nPlease use your DOMINANT hand to respond as quickly and accurately as possible.\n\nYou will start with a practice session.\nPlease press the spacebar to continue.', font='Arial', pos=[0, 0], height=0.1, wrapWidth=1.5, color='white', colorSpace='rgb', opacity=1, depth=0.0) # Create the 4 numbers for i in range(4): number_texts.append(visual.TextStim(win=win, ori=0, name='Number' + str(i+1), units='deg', text=str(i+1), font='Arial', pos=locations[i], height=2, wrapWidth=None, color='white', colorSpace='rgb', opacity=1, depth=0.0)) # Initialize components for Routine "Continue" ContinueClock = core.Clock() Ready = visual.TextStim(win=win, ori=0, name='Ready', text='That was the end of the block.\n\nIf you need to take a break please do so now.\n\nWhen you are ready to continue please press the spacebar and remember to KEEP YOUR EYES FIXATED ON THE CROSS.', font='Arial', pos=[0, 0], height=0.1, wrapWidth=1.5, color='white', colorSpace='rgb', opacity=1, depth=0.0) # Initialize components for Routine "Trial" TrialClock = core.Clock() FixationPoint = visual.TextStim(win=win, ori=0, name='FixationPoint', text='+', font='Arial', pos=[0, 0], height=0.1, wrapWidth=None, color=1.0, colorSpace='rgb', opacity=1, depth=0.0) p_port = parallel.ParallelPort(address=u'0xDFF8') p_port_images = parallel.ParallelPort(address=u'0xDFF8') # Initialize components for Routine "Break" BreakClock = core.Clock() Break = visual.TextStim(win=win, ori=0, name='Break', text='That was the end of the block.\n\nIf you need to take a break please take one now.\n\nWhen you are ready to continue please press the spacebar.', font='Arial', pos=[0, 0], height=0.1, wrapWidth=1.5, color='white', colorSpace='rgb', opacity=1, depth=0.0) # Create some handy timers globalClock = core.Clock() # to track the time since experiment started routineTimer = core.CountdownTimer() # to track time remaining of each (non-slip) routine #------Prepare to start Routine "Instr"------- t = 0 InstrClock.reset() # clock frameN = -1 # update component parameters for each repeat InstrKey_resp = event.BuilderKeyResponse() # create an object of type KeyResponse InstrKey_resp.status = NOT_STARTED # keep track of which components have finished InstrComponents = [] InstrComponents.append(Instructions) InstrComponents.append(InstrKey_resp) for thisComponent in InstrComponents: if hasattr(thisComponent, 'status'): thisComponent.status = NOT_STARTED #-------Start Routine "Instr"------- continueRoutine = True while continueRoutine: # get current time t = InstrClock.getTime() frameN = frameN + 1 # number of completed frames (so 0 is the first frame) # update/draw components on each frame # *Instructions* updates if t >= 0.0 and Instructions.status == NOT_STARTED: # keep track of start time/frame for later Instructions.tStart = t # underestimates by a little under one frame Instructions.frameNStart = frameN # exact frame index Instructions.setAutoDraw(True) if Instructions.status == STARTED: # only update if being drawn Instructions.setColor('white', colorSpace='rgb', log=False) # *InstrKey_resp* updates if t >= 0.0 and InstrKey_resp.status == NOT_STARTED: # keep track of start time/frame for later InstrKey_resp.tStart = t # underestimates by a little under one frame InstrKey_resp.frameNStart = frameN # exact frame index InstrKey_resp.status = STARTED # keyboard checking is just starting win.callOnFlip(InstrKey_resp.clock.reset) # t=0 on next screen flip event.clearEvents(eventType='keyboard') if InstrKey_resp.status == STARTED: theseKeys = event.getKeys(keyList=['space']) # check for quit: if "escape" in theseKeys: endExpNow = True if len(theseKeys) > 0: # at least one key was pressed InstrKey_resp.keys = theseKeys[-1] # just the last key pressed InstrKey_resp.rt = InstrKey_resp.clock.getTime() # a response ends the routine continueRoutine = False # check if all components have finished if not continueRoutine: # a component has requested a forced-end of Routine break continueRoutine = False # will revert to True if at least one component still running for thisComponent in InstrComponents: if hasattr(thisComponent, "status") and thisComponent.status != FINISHED: continueRoutine = True break # at least one component has not yet finished # check for quit (the Esc key) if endExpNow or event.getKeys(keyList=["escape"]): core.quit() # refresh the screen if continueRoutine: # don't flip if this routine is over or we'll get a blank screen win.flip() #-------Ending Routine "Instr"------- for thisComponent in InstrComponents: if hasattr(thisComponent, "setAutoDraw"): thisComponent.setAutoDraw(False) # check responses if InstrKey_resp.keys in ['', [], None]: # No response was made InstrKey_resp.keys=None # store data for thisExp (ExperimentHandler) thisExp.addData('InstrKey_resp.keys',InstrKey_resp.keys) if InstrKey_resp.keys != None: # we had a response thisExp.addData('InstrKey_resp.rt', InstrKey_resp.rt) thisExp.nextEntry() # the Routine "Instr" was not non-slip safe, so reset the non-slip timer routineTimer.reset() #-------Starting Practice Trials-------# # Each trial executes this function def execute_trial(name, gender): endExpNow = False if gender == MALE: conditions_file = data.importConditions(u'MalePracticeFile.csv') else: conditions_file = data.importConditions(u'FemalePracticeFile.csv') # set up handler to look after randomisation of conditions etc Trials = data.TrialHandler(nReps=1, method='random', extraInfo=expInfo, originPath="-1", trialList=conditions_file, seed=None, name=name) thisExp.addLoop(Trials) # add the loop to the experiment thisTrials = Trials.trialList[0] # so we can initialise stimuli with some values # abbreviate parameter names if possible (e.g. rgb=thisTrialsF1.rgb) if thisTrials != None: for paramName in thisTrials.keys(): exec(paramName + "= thisTrials." + paramName) for thisTrials in Trials: currentLoop = Trials # abbreviate parameter names if possible (e.g. rgb = thisTrialsF1.rgb) if thisTrials != None: for paramName in thisTrials.keys(): exec(paramName + "= thisTrials." + paramName) #------Prepare to start Routine "Trial"------- t = 0 TrialClock.reset() # clock frameN = -1 routineTimer.add(8.500000) # update component parameters for each repeat FixationPoint.setColor('white', colorSpace='rgb') for number in number_texts: number.setColor('white', colorSpace='rgb') #Numbers & color of numbers Key_Resp = event.BuilderKeyResponse() # create an object of type KeyResponse Key_Resp.status = NOT_STARTED # Get the random images if gender == MALE: random_images = choose_male_images() else: random_images = choose_female_images() Image1 = random_images[0] Image2 = random_images[1] Image3 = random_images[2] Image4 = random_images[3] #Choose center image & Add to file center_image = random.choice(random_images) thisExp.addData('Center_image', center_image.name) #Code print(str(center_image.name[1:3])) if str(center_image.name[1:3]) == 'MN': code = '1' #white male = sad male elif str(center_image.name[1:3]) == 'MS': code = '2' #black female = neutral female elif str(center_image.name[1:3]) == 'FN': code = '3' #white female = sad female else: code = '4' #Adding Condition Column to Data File thisExp.addData('condition', center_image.name[1:3]) #Adding Code Column to Data File thisExp.addData('code', code) #Correct Answer if center_image == Image1: correct_answer = 'num_8' elif center_image == Image2: correct_answer = 'num_6' elif center_image == Image3: correct_answer = 'num_2' elif center_image == Image4: correct_answer = 'num_4' else: correct_answer = 'None' #Adding Correct Answer Column to Data File thisExp.addData('correct_answer', correct_answer) # keep track of which components have finished TrialComponents = [] TrialComponents.append(FixationPoint) TrialComponents.append(Image1) TrialComponents.append(Image2) TrialComponents.append(Image3) TrialComponents.append(Image4) TrialComponents.append(center_image) TrialComponents.append(p_port) #Adding port TrialComponents.append(p_port_images) #Adding images port for number in number_texts: TrialComponents.append(number) TrialComponents.append(Key_Resp) for thisComponent in TrialComponents: if hasattr(thisComponent, 'status'): thisComponent.status = NOT_STARTED #-------Start Routine "Trial"------- continueRoutine = True while continueRoutine and routineTimer.getTime() > 0: # get current time t = TrialClock.getTime() frameN = frameN + 1 # number of completed frames (so 0 is the first frame) # update/draw components on each frame # *FixationPoint* updates if t >= 0.0 and FixationPoint.status == NOT_STARTED: # keep track of start time/frame for later FixationPoint.tStart = t # underestimates by a little under one frame FixationPoint.frameNStart = frameN # exact frame index FixationPoint.setAutoDraw(True) if FixationPoint.status == STARTED and t >= (0.0 + (8.5-win.monitorFramePeriod*0.75)): #most of one frame period left #if FixationPoint.status == STARTED and t >= 0: FixationPoint.setAutoDraw(False) #Random Images if t >= 0.5 and random_images[0].status == NOT_STARTED: for image in random_images: # keep track of start time/frame for later image.tStart = t # underestimates by a little under one frame image.frameNStart = frameN # exact frame index image.setAutoDraw(True) if random_images[0].status == STARTED and t >= 2.0 and t < 3.0: #most of one frame period left for image in random_images: image.setAutoDraw(False) # *p_port_images* updates if t >= 0.5 and p_port_images.status == NOT_STARTED: # keep track of start time/frame for later p_port_images.tStart = t # underestimates by a little under one frame p_port_images.frameNStart = frameN # exact frame index p_port_images.status = STARTED win.callOnFlip(p_port_images.setData, int(14)) if p_port_images.status == STARTED and t >= (2.0-win.monitorFramePeriod*0.75): #most of one frame period left p_port_images.status = STOPPED win.callOnFlip(p_port_images.setData, int(15)) # *Numbers* updates if t >= 3.5 and number_texts[0].status == NOT_STARTED: for number in number_texts: number.tStart = t # underestimates by a little under one frame number.frameNStart = frameN # exact frame index number.setAutoDraw(True) if number_texts[0].status == STARTED and t >= 8.5: #most of one frame period left for number in number_texts: number.setAutoDraw(False) # *Key_Resp* updates if t >= 3.5 and Key_Resp.status == NOT_STARTED: print(t) center_image.setPos(newPos = (0, 0)) center_image.setAutoDraw(True) # keep track of start time/frame for later Key_Resp.tStart = t # underestimates by a little under one frame Key_Resp.frameNStart = frameN # exact frame index Key_Resp.status = STARTED # keyboard checking is just starting win.callOnFlip(Key_Resp.clock.reset) # t=0 on next screen flip event.clearEvents(eventType='keyboard') if Key_Resp.status == STARTED and t >= 8.5: #most of one frame period left print(t) Key_Resp.status = STOPPED center_image.setAutoDraw(False) if Key_Resp.status == STARTED: theseKeys = event.getKeys(keyList=['num_8', 'num_6', 'num_2', 'num_4']) # check for quit: if "escape" in theseKeys: endExpNow = True accuracy = 0 if len(theseKeys) > 0: # at least one key was pressed Key_Resp.keys = theseKeys[-1] # just the last key pressed Key_Resp.rt = Key_Resp.clock.getTime() print(t) print('resp') #Check for Correct or Incorrect if (correct_answer == str(Key_Resp.keys)) or (correct_answer == Key_Resp.keys): accuracy = corr_answer elif Key_Resp.keys in ['', [], None]: accuracy = no_answer else: accuracy = incorrect_answer # a response ends the routine continueRoutine = False # *p_port* updates if t >= 3.5 and p_port.status == NOT_STARTED: # keep track of start time/frame for later p_port.tStart = t # underestimates by a little under one frame p_port.frameNStart = frameN # exact frame index p_port.status = STARTED win.callOnFlip(p_port.setData, int(code)) if p_port.status == STARTED and t >= (8.5-win.monitorFramePeriod*0.75): #most of one frame period left p_port.status = STOPPED win.callOnFlip(p_port.setData, int(0)) # check if all components have finished if not continueRoutine: # a component has requested a forced-end of Routine print(t) break continueRoutine = False # will revert to True if at least one component still running for thisComponent in TrialComponents: if hasattr(thisComponent, "status") and thisComponent.status != FINISHED: continueRoutine = True break # at least one component has not yet finished # check for quit (the Esc key) if endExpNow or event.getKeys(keyList=["escape"]): core.quit() # refresh the screen if continueRoutine: # don't flip if this routine is over or we'll get a blank screen win.flip() #-------Ending Routine "Trial"------- for thisComponent in TrialComponents: if hasattr(thisComponent, "setAutoDraw"): thisComponent.setAutoDraw(False) # check responses if Key_Resp.keys in ['', [], None]: # No response was made Key_Resp.keys=None #Adding Accuracy Column to Data File if (correct_answer == str(Key_Resp.keys)) or (correct_answer == Key_Resp.keys): print(t) accuracy = corr_answer elif Key_Resp.keys in ['', [], None]: accuracy = no_answer print(t) else: accuracy = incorrect_answer thisExp.addData('accuracy', accuracy) print(t) # store data for TrialsF1 (TrialHandler) Trials.addData('Key_Resp.keys',Key_Resp.keys) if p_port_images.status == STARTED: win.callOnFlip(p_port_images.setData, int(0)) if Key_Resp.keys != None: # we had a response Trials.addData('Key_Resp.rt', Key_Resp.rt) if p_port.status == STARTED: win.callOnFlip(p_port.setData, int(accuracy)) thisExp.nextEntry() for t in range(NUM_BLOCKS): execute_trial("TrialsF" + str(t+1), FEMALE) execute_trial("TrialsM" + str(t+1), MALE) #Change order to change Male/Female blocks # completed 1 repeats of 'practice' #----------Starting Actual Trials---------# # Each trial executes this function def execute_trial(name, gender): endExpNow = False if gender == MALE: conditions_file = data.importConditions(u'EmotionMaConditionsFile.csv') else: conditions_file = data.importConditions(u'EmotionFeConditionsFile.csv') # set up handler to look after randomisation of conditions etc Trials = data.TrialHandler(nReps=6, method='random', #CHANGE NUMBER OF REPS extraInfo=expInfo, originPath="-1", trialList=conditions_file, seed=None, name=name) thisExp.addLoop(Trials) # add the loop to the experiment thisTrials = Trials.trialList[0] # so we can initialise stimuli with some values # abbreviate parameter names if possible (e.g. rgb=thisTrialsF1.rgb) if thisTrials != None: for paramName in thisTrials.keys(): exec(paramName + "= thisTrials." + paramName) for thisTrials in Trials: currentLoop = Trials # abbreviate parameter names if possible (e.g. rgb = thisTrialsF1.rgb) if thisTrials != None: for paramName in thisTrials.keys(): exec(paramName + "= thisTrials." + paramName) #------Prepare to start Routine "Trial"------- t = 0 TrialClock.reset() # clock frameN = -1 routineTimer.add(8.500000) # update component parameters for each repeat FixationPoint.setColor('white', colorSpace='rgb') for number in number_texts: number.setColor('white', colorSpace='rgb') Key_Resp = event.BuilderKeyResponse() # create an object of type KeyResponse Key_Resp.status = NOT_STARTED # Get the random images if gender == MALE: random_images = choose_male_images() else: random_images = choose_female_images() Image1 = random_images[0] Image2 = random_images[1] Image3 = random_images[2] Image4 = random_images[3] #Choose center image & Add to file center_image = random.choice(random_images) thisExp.addData('Center_image', center_image.name) #Code print(str(center_image.name[1:3])) if str(center_image.name[1:3]) == 'MN': code = '1' #white male = sad male elif str(center_image.name[1:3]) == 'MS': code = '2' #black female = neutral female elif str(center_image.name[1:3]) == 'FN': code = '3' #white female = sad female else: code = '4' #Adding Condition Column to Data File thisExp.addData('condition', center_image.name[1:3]) #Adding Code Column to Data File thisExp.addData('code', code) #Correct Answer if center_image == Image1: correct_answer = 'num_8' elif center_image == Image2: correct_answer = 'num_6' elif center_image == Image3: correct_answer = 'num_2' elif center_image == Image4: correct_answer = 'num_4' else: correct_answer = 'None' #Adding Correct Answer Column to Data File thisExp.addData('correct_answer', correct_answer) # keep track of which components have finished TrialComponents = [] TrialComponents.append(FixationPoint) TrialComponents.append(Image1) TrialComponents.append(Image2) TrialComponents.append(Image3) TrialComponents.append(Image4) TrialComponents.append(center_image) TrialComponents.append(p_port) TrialComponents.append(p_port_images) for number in number_texts: TrialComponents.append(number) TrialComponents.append(Key_Resp) for thisComponent in TrialComponents: if hasattr(thisComponent, 'status'): thisComponent.status = NOT_STARTED #-------Start Routine "Trial"------- continueRoutine = True while continueRoutine and routineTimer.getTime() > 0: # get current time t = TrialClock.getTime() frameN = frameN + 1 # number of completed frames (so 0 is the first frame) # update/draw components on each frame # *FixationPoint* updates if t >= 0.0 and FixationPoint.status == NOT_STARTED: # keep track of start time/frame for later FixationPoint.tStart = t # underestimates by a little under one frame FixationPoint.frameNStart = frameN # exact frame index FixationPoint.setAutoDraw(True) if FixationPoint.status == STARTED and t >= (0.0 + (8.5-win.monitorFramePeriod*0.75)): #most of one frame period left #if FixationPoint.status == STARTED and t >= 0: FixationPoint.setAutoDraw(False) #Random Images if t >= 0.5 and random_images[0].status == NOT_STARTED: for image in random_images: # keep track of start time/frame for later image.tStart = t # underestimates by a little under one frame image.frameNStart = frameN # exact frame index image.setAutoDraw(True) if random_images[0].status == STARTED and t >= 2.0 and t < 3.0: #most of one frame period left for image in random_images: image.setAutoDraw(False) # *p_port_images* updates if t >= 0.5 and p_port_images.status == NOT_STARTED: # keep track of start time/frame for later p_port_images.tStart = t # underestimates by a little under one frame p_port_images.frameNStart = frameN # exact frame index p_port_images.status = STARTED win.callOnFlip(p_port_images.setData, int(14)) if p_port_images.status == STARTED and t >= (2.0-win.monitorFramePeriod*0.75): #most of one frame period left p_port_images.status = STOPPED win.callOnFlip(p_port_images.setData, int(15)) # *Numbers* updates if t >= 3.5 and number_texts[0].status == NOT_STARTED: for number in number_texts: number.tStart = t # underestimates by a little under one frame number.frameNStart = frameN # exact frame index number.setAutoDraw(True) if number_texts[0].status == STARTED and t >= 8.5: #most of one frame period left for number in number_texts: number.setAutoDraw(False) # *Key_Resp* updates if t >= 3.5 and Key_Resp.status == NOT_STARTED: center_image.setPos(newPos = (0, 0)) center_image.setAutoDraw(True) # keep track of start time/frame for later Key_Resp.tStart = t # underestimates by a little under one frame Key_Resp.frameNStart = frameN # exact frame index Key_Resp.status = STARTED # keyboard checking is just starting win.callOnFlip(Key_Resp.clock.reset) # t=0 on next screen flip event.clearEvents(eventType='keyboard') if Key_Resp.status == STARTED and t >= 8.5: #most of one frame period left Key_Resp.status = STOPPED center_image.setAutoDraw(False) if Key_Resp.status == STARTED: theseKeys = event.getKeys(keyList=['num_8', 'num_6', 'num_2', 'num_4']) # check for quit: if "escape" in theseKeys: endExpNow = True if len(theseKeys) > 0: # at least one key was pressed Key_Resp.keys = theseKeys[-1] # just the last key pressed Key_Resp.rt = Key_Resp.clock.getTime() #Check for Correct or Incorrect if (correct_answer == str(Key_Resp.keys)) or (correct_answer == Key_Resp.keys): accuracy = corr_answer elif Key_Resp.keys in ['', [], None]: accuracy = no_answer else: accuracy = incorrect_answer # a response ends the routine continueRoutine = False # *p_port* updates if t >= 3.5 and p_port.status == NOT_STARTED: # keep track of start time/frame for later p_port.tStart = t # underestimates by a little under one frame p_port.frameNStart = frameN # exact frame index p_port.status = STARTED win.callOnFlip(p_port.setData, int(code)) if p_port.status == STARTED and t >= (8.5-win.monitorFramePeriod*0.75): #most of one frame period left p_port.status = STOPPED win.callOnFlip(p_port.setData, int(0)) # check if all components have finished if not continueRoutine: # a component has requested a forced-end of Routine break continueRoutine = False # will revert to True if at least one component still running for thisComponent in TrialComponents: if hasattr(thisComponent, "status") and thisComponent.status != FINISHED: continueRoutine = True break # at least one component has not yet finished # check for quit (the Esc key) if endExpNow or event.getKeys(keyList=["escape"]): core.quit() # refresh the screen if continueRoutine: # don't flip if this routine is over or we'll get a blank screen win.flip() #-------Ending Routine "Trial"------- for thisComponent in TrialComponents: if hasattr(thisComponent, "setAutoDraw"): thisComponent.setAutoDraw(False) # check responses if Key_Resp.keys in ['', [], None]: # No response was made Key_Resp.keys=None #Adding Accuracy Column to Data File if (correct_answer == str(Key_Resp.keys)) or (correct_answer == Key_Resp.keys): accuracy = corr_answer elif Key_Resp.keys in ['', [], None]: accuracy = no_answer else: accuracy = incorrect_answer thisExp.addData('accuracy', accuracy) # store data for TrialsF1 (TrialHandler) Trials.addData('Key_Resp.keys',Key_Resp.keys) if p_port_images.status == STARTED: win.callOnFlip(p_port_images.setData, int(0)) if Key_Resp.keys != None: # we had a response Trials.addData('Key_Resp.rt', Key_Resp.rt) if p_port.status == STARTED: win.callOnFlip(p_port.setData, int(accuracy)) thisExp.nextEntry() #------Prepare to start Routine "Break"------- def execute_Break(name): t = 0 BreakClock.reset() # clock frameN = -1 # update component parameters for each repeat BreakKey_resp = event.BuilderKeyResponse() # create an object of type KeyResponse BreakKey_resp.status = NOT_STARTED # keep track of which components have finished BreakComponents = [] BreakComponents.append(Ready) BreakComponents.append(BreakKey_resp) for thisComponent in BreakComponents: if hasattr(thisComponent, 'status'): thisComponent.status = NOT_STARTED #-------Start Routine "Break"------- continueRoutine = True while continueRoutine: # get current time t = BreakClock.getTime() frameN = frameN + 1 # number of completed frames (so 0 is the first frame) # update/draw components on each frame # *Ready* updates if t >= 0.0 and Ready.status == NOT_STARTED: # keep track of start time/frame for later Ready.tStart = t # underestimates by a little under one frame Ready.frameNStart = frameN # exact frame index Ready.setAutoDraw(True) # *BreakKey_resp* updates if t >= 0.0 and BreakKey_resp.status == NOT_STARTED: # keep track of start time/frame for later BreakKey_resp.tStart = t # underestimates by a little under one frame BreakKey_resp.frameNStart = frameN # exact frame index BreakKey_resp.status = STARTED # keyboard checking is just starting win.callOnFlip(BreakKey_resp.clock.reset) # t=0 on next screen flip event.clearEvents(eventType='keyboard') if BreakKey_resp.status == STARTED: theseKeys = event.getKeys(keyList=['space']) # check for quit: if "escape" in theseKeys: endExpNow = True if len(theseKeys) > 0: # at least one key was pressed BreakKey_resp.keys = theseKeys[-1] # just the last key pressed BreakKey_resp.rt = BreakKey_resp.clock.getTime() # a response ends the routine continueRoutine = False # check if all components have finished if not continueRoutine: # a component has requested a forced-end of Routine break continueRoutine = False # will revert to True if at least one component still running for thisComponent in BreakComponents: if hasattr(thisComponent, "status") and thisComponent.status != FINISHED: continueRoutine = True break # at least one component has not yet finished endExpNow = False # check for quit (the Esc key) if endExpNow or event.getKeys(keyList=["escape"]): core.quit() # refresh the screen if continueRoutine: # don't flip if this routine is over or we'll get a blank screen win.flip() #-------Ending Routine "Break"------- for thisComponent in BreakComponents: if hasattr(thisComponent, "setAutoDraw"): thisComponent.setAutoDraw(False) # check responses if BreakKey_resp.keys in ['', [], None]: # No response was made BreakKey_resp.keys=None # store data for thisExp (ExperimentHandler) thisExp.addData('BreakKey_resp.keys',BreakKey_resp.keys) if BreakKey_resp.keys != None: # we had a response thisExp.addData('BreakKey_resp.rt', BreakKey_resp.rt) thisExp.nextEntry() # the Routine "Continue" was not non-slip safe, so reset the non-slip timer routineTimer.reset() for t in range(NUM_BLOCKS): execute_Break("Break") execute_trial("TrialsF" + str(t+1), FEMALE) execute_Break("Break") execute_trial("TrialsM" + str(t+1), MALE) #Change order to change Male/Female blocks # these shouldn't be strictly necessary (should auto-save) thisExp.saveAsWideText(filename+'.csv') thisExp.saveAsPickle(filename) logging.flush() # make sure everything is closed down thisExp.abort() # or data files will save again on exit win.close() core.quit()

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43.75167

0.830215

0.235104

0

0.732595

0

0.004747

0.069304

0.002592

0.006329

0

0.000409

0

null

0

0.02057

null

0.022152

0

null

0

1

0

1

0

null

0

1

0

8

46a7e1e152071104c9518e5ade0c72f98e30ee3d

54,855

py

Python

gr37/kerberos/kerberos_sigmf_decode1.py

zleffke/flowgraph_sandbox

6bcad45fd4585e917678b843be323278ebf06323

[ "MIT" ]

null

gr37/kerberos/kerberos_sigmf_decode1.py

zleffke/flowgraph_sandbox

6bcad45fd4585e917678b843be323278ebf06323

[ "MIT" ]

null

gr37/kerberos/kerberos_sigmf_decode1.py

zleffke/flowgraph_sandbox

6bcad45fd4585e917678b843be323278ebf06323

[ "MIT" ]

null

#!/usr/bin/env python2 # -*- coding: utf-8 -*- ################################################## # GNU Radio Python Flow Graph # Title: Kerberos Sigmf Decode1 # GNU Radio version: 3.7.13.4 ################################################## if __name__ == '__main__': import ctypes import sys if sys.platform.startswith('linux'): try: x11 = ctypes.cdll.LoadLibrary('libX11.so') x11.XInitThreads() except: print "Warning: failed to XInitThreads()" from PyQt4 import Qt from gnuradio import analog from gnuradio import blocks from gnuradio import eng_notation from gnuradio import gr from gnuradio import qtgui from gnuradio.eng_option import eng_option from gnuradio.filter import firdes from optparse import OptionParser import adsb import gr_sigmf import pyqt import sip import sys from gnuradio import qtgui class kerberos_sigmf_decode1(gr.top_block, Qt.QWidget): def __init__(self): gr.top_block.__init__(self, "Kerberos Sigmf Decode1") Qt.QWidget.__init__(self) self.setWindowTitle("Kerberos Sigmf Decode1") qtgui.util.check_set_qss() try: self.setWindowIcon(Qt.QIcon.fromTheme('gnuradio-grc')) except: pass self.top_scroll_layout = Qt.QVBoxLayout() self.setLayout(self.top_scroll_layout) self.top_scroll = Qt.QScrollArea() self.top_scroll.setFrameStyle(Qt.QFrame.NoFrame) self.top_scroll_layout.addWidget(self.top_scroll) self.top_scroll.setWidgetResizable(True) self.top_widget = Qt.QWidget() self.top_scroll.setWidget(self.top_widget) self.top_layout = Qt.QVBoxLayout(self.top_widget) self.top_grid_layout = Qt.QGridLayout() self.top_layout.addLayout(self.top_grid_layout) self.settings = Qt.QSettings("GNU Radio", "kerberos_sigmf_decode1") self.restoreGeometry(self.settings.value("geometry").toByteArray()) ################################################## # Variables ################################################## self.throttle = throttle = 10 self.thresh = thresh = 10 self.samp_rate = samp_rate = 2e6 ################################################## # Blocks ################################################## self.main_tab = Qt.QTabWidget() self.main_tab_widget_0 = Qt.QWidget() self.main_tab_layout_0 = Qt.QBoxLayout(Qt.QBoxLayout.TopToBottom, self.main_tab_widget_0) self.main_tab_grid_layout_0 = Qt.QGridLayout() self.main_tab_layout_0.addLayout(self.main_tab_grid_layout_0) self.main_tab.addTab(self.main_tab_widget_0, 'Channel') self.main_tab_widget_1 = Qt.QWidget() self.main_tab_layout_1 = Qt.QBoxLayout(Qt.QBoxLayout.TopToBottom, self.main_tab_widget_1) self.main_tab_grid_layout_1 = Qt.QGridLayout() self.main_tab_layout_1.addLayout(self.main_tab_grid_layout_1) self.main_tab.addTab(self.main_tab_widget_1, 'Correlate') self.main_tab_widget_2 = Qt.QWidget() self.main_tab_layout_2 = Qt.QBoxLayout(Qt.QBoxLayout.TopToBottom, self.main_tab_widget_2) self.main_tab_grid_layout_2 = Qt.QGridLayout() self.main_tab_layout_2.addLayout(self.main_tab_grid_layout_2) self.main_tab.addTab(self.main_tab_widget_2, 'Decode') self.top_grid_layout.addWidget(self.main_tab, 1, 0, 1, 1) for r in range(1, 2): self.top_grid_layout.setRowStretch(r, 1) for c in range(0, 1): self.top_grid_layout.setColumnStretch(c, 1) self._throttle_tool_bar = Qt.QToolBar(self) self._throttle_tool_bar.addWidget(Qt.QLabel('Throttle'+": ")) self._throttle_line_edit = Qt.QLineEdit(str(self.throttle)) self._throttle_tool_bar.addWidget(self._throttle_line_edit) self._throttle_line_edit.returnPressed.connect( lambda: self.set_throttle(eng_notation.str_to_num(str(self._throttle_line_edit.text().toAscii())))) self.main_tab_grid_layout_0.addWidget(self._throttle_tool_bar, 9, 2, 1, 2) for r in range(9, 10): self.main_tab_grid_layout_0.setRowStretch(r, 1) for c in range(2, 4): self.main_tab_grid_layout_0.setColumnStretch(c, 1) self._thresh_tool_bar = Qt.QToolBar(self) self._thresh_tool_bar.addWidget(Qt.QLabel('GUI Threshold'+": ")) self._thresh_line_edit = Qt.QLineEdit(str(self.thresh)) self._thresh_tool_bar.addWidget(self._thresh_line_edit) self._thresh_line_edit.returnPressed.connect( lambda: self.set_thresh(eng_notation.str_to_num(str(self._thresh_line_edit.text().toAscii())))) self.top_grid_layout.addWidget(self._thresh_tool_bar, 9, 0, 1, 1) for r in range(9, 10): self.top_grid_layout.setRowStretch(r, 1) for c in range(0, 1): self.top_grid_layout.setColumnStretch(c, 1) self.sigmf_source_3 = gr_sigmf.source('/home/zleffke/captures/kerberos/20210326/with_noise/CHAN3_2021-03-26T21:12:02Z.sigmf-data', "cf32" + ("_le" if sys.byteorder == "little" else "_be"), False) self.sigmf_source_2 = gr_sigmf.source('/home/zleffke/captures/kerberos/20210326/with_noise/CHAN2_2021-03-26T21:12:02Z.sigmf-data', "cf32" + ("_le" if sys.byteorder == "little" else "_be"), False) self.sigmf_source_1 = gr_sigmf.source('/home/zleffke/captures/kerberos/20210326/with_noise/CHAN1_2021-03-26T21:12:02Z.sigmf-data', "cf32" + ("_le" if sys.byteorder == "little" else "_be"), False) self.sigmf_source_0 = gr_sigmf.source('/home/zleffke/captures/kerberos/20210330/2200/CHAN0_2021-03-30T22:00:02Z.sigmf-data', "cf32" + ("_le" if sys.byteorder == "little" else "_be"), False) self.qtgui_waterfall_sink_x_0_0_1 = qtgui.waterfall_sink_c( 1024, #size firdes.WIN_BLACKMAN_hARRIS, #wintype 0, #fc samp_rate, #bw "", #name 1 #number of inputs ) self.qtgui_waterfall_sink_x_0_0_1.set_update_time(0.010) self.qtgui_waterfall_sink_x_0_0_1.enable_grid(False) self.qtgui_waterfall_sink_x_0_0_1.enable_axis_labels(True) if not True: self.qtgui_waterfall_sink_x_0_0_1.disable_legend() if "complex" == "float" or "complex" == "msg_float": self.qtgui_waterfall_sink_x_0_0_1.set_plot_pos_half(not True) labels = ['', '', '', '', '', '', '', '', '', ''] colors = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0] alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] for i in xrange(1): if len(labels[i]) == 0: self.qtgui_waterfall_sink_x_0_0_1.set_line_label(i, "Data {0}".format(i)) else: self.qtgui_waterfall_sink_x_0_0_1.set_line_label(i, labels[i]) self.qtgui_waterfall_sink_x_0_0_1.set_color_map(i, colors[i]) self.qtgui_waterfall_sink_x_0_0_1.set_line_alpha(i, alphas[i]) self.qtgui_waterfall_sink_x_0_0_1.set_intensity_range(-100, 10) self._qtgui_waterfall_sink_x_0_0_1_win = sip.wrapinstance(self.qtgui_waterfall_sink_x_0_0_1.pyqwidget(), Qt.QWidget) self.main_tab_grid_layout_0.addWidget(self._qtgui_waterfall_sink_x_0_0_1_win, 2, 3, 2, 1) for r in range(2, 4): self.main_tab_grid_layout_0.setRowStretch(r, 1) for c in range(3, 4): self.main_tab_grid_layout_0.setColumnStretch(c, 1) self.qtgui_waterfall_sink_x_0_0_0 = qtgui.waterfall_sink_c( 1024, #size firdes.WIN_BLACKMAN_hARRIS, #wintype 0, #fc samp_rate, #bw "", #name 1 #number of inputs ) self.qtgui_waterfall_sink_x_0_0_0.set_update_time(0.010) self.qtgui_waterfall_sink_x_0_0_0.enable_grid(False) self.qtgui_waterfall_sink_x_0_0_0.enable_axis_labels(True) if not True: self.qtgui_waterfall_sink_x_0_0_0.disable_legend() if "complex" == "float" or "complex" == "msg_float": self.qtgui_waterfall_sink_x_0_0_0.set_plot_pos_half(not True) labels = ['', '', '', '', '', '', '', '', '', ''] colors = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0] alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] for i in xrange(1): if len(labels[i]) == 0: self.qtgui_waterfall_sink_x_0_0_0.set_line_label(i, "Data {0}".format(i)) else: self.qtgui_waterfall_sink_x_0_0_0.set_line_label(i, labels[i]) self.qtgui_waterfall_sink_x_0_0_0.set_color_map(i, colors[i]) self.qtgui_waterfall_sink_x_0_0_0.set_line_alpha(i, alphas[i]) self.qtgui_waterfall_sink_x_0_0_0.set_intensity_range(-100, 10) self._qtgui_waterfall_sink_x_0_0_0_win = sip.wrapinstance(self.qtgui_waterfall_sink_x_0_0_0.pyqwidget(), Qt.QWidget) self.main_tab_grid_layout_0.addWidget(self._qtgui_waterfall_sink_x_0_0_0_win, 2, 2, 2, 1) for r in range(2, 4): self.main_tab_grid_layout_0.setRowStretch(r, 1) for c in range(2, 3): self.main_tab_grid_layout_0.setColumnStretch(c, 1) self.qtgui_waterfall_sink_x_0_0 = qtgui.waterfall_sink_c( 1024, #size firdes.WIN_BLACKMAN_hARRIS, #wintype 0, #fc samp_rate, #bw "", #name 1 #number of inputs ) self.qtgui_waterfall_sink_x_0_0.set_update_time(0.010) self.qtgui_waterfall_sink_x_0_0.enable_grid(False) self.qtgui_waterfall_sink_x_0_0.enable_axis_labels(True) if not True: self.qtgui_waterfall_sink_x_0_0.disable_legend() if "complex" == "float" or "complex" == "msg_float": self.qtgui_waterfall_sink_x_0_0.set_plot_pos_half(not True) labels = ['', '', '', '', '', '', '', '', '', ''] colors = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0] alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] for i in xrange(1): if len(labels[i]) == 0: self.qtgui_waterfall_sink_x_0_0.set_line_label(i, "Data {0}".format(i)) else: self.qtgui_waterfall_sink_x_0_0.set_line_label(i, labels[i]) self.qtgui_waterfall_sink_x_0_0.set_color_map(i, colors[i]) self.qtgui_waterfall_sink_x_0_0.set_line_alpha(i, alphas[i]) self.qtgui_waterfall_sink_x_0_0.set_intensity_range(-100, 10) self._qtgui_waterfall_sink_x_0_0_win = sip.wrapinstance(self.qtgui_waterfall_sink_x_0_0.pyqwidget(), Qt.QWidget) self.main_tab_grid_layout_0.addWidget(self._qtgui_waterfall_sink_x_0_0_win, 2, 1, 2, 1) for r in range(2, 4): self.main_tab_grid_layout_0.setRowStretch(r, 1) for c in range(1, 2): self.main_tab_grid_layout_0.setColumnStretch(c, 1) self.qtgui_waterfall_sink_x_0 = qtgui.waterfall_sink_c( 1024, #size firdes.WIN_BLACKMAN_hARRIS, #wintype 0, #fc samp_rate, #bw "", #name 1 #number of inputs ) self.qtgui_waterfall_sink_x_0.set_update_time(0.010) self.qtgui_waterfall_sink_x_0.enable_grid(False) self.qtgui_waterfall_sink_x_0.enable_axis_labels(True) if not True: self.qtgui_waterfall_sink_x_0.disable_legend() if "complex" == "float" or "complex" == "msg_float": self.qtgui_waterfall_sink_x_0.set_plot_pos_half(not True) labels = ['', '', '', '', '', '', '', '', '', ''] colors = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0] alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] for i in xrange(1): if len(labels[i]) == 0: self.qtgui_waterfall_sink_x_0.set_line_label(i, "Data {0}".format(i)) else: self.qtgui_waterfall_sink_x_0.set_line_label(i, labels[i]) self.qtgui_waterfall_sink_x_0.set_color_map(i, colors[i]) self.qtgui_waterfall_sink_x_0.set_line_alpha(i, alphas[i]) self.qtgui_waterfall_sink_x_0.set_intensity_range(-100, 10) self._qtgui_waterfall_sink_x_0_win = sip.wrapinstance(self.qtgui_waterfall_sink_x_0.pyqwidget(), Qt.QWidget) self.main_tab_grid_layout_0.addWidget(self._qtgui_waterfall_sink_x_0_win, 2, 0, 2, 1) for r in range(2, 4): self.main_tab_grid_layout_0.setRowStretch(r, 1) for c in range(0, 1): self.main_tab_grid_layout_0.setColumnStretch(c, 1) self.qtgui_time_sink_x_0_1_0_0_0 = qtgui.time_sink_f( int(samp_rate), #size int(samp_rate*8), #samp_rate "CHAN3", #name 2 #number of inputs ) self.qtgui_time_sink_x_0_1_0_0_0.set_update_time(0.01) self.qtgui_time_sink_x_0_1_0_0_0.set_y_axis(0, 1) self.qtgui_time_sink_x_0_1_0_0_0.set_y_label('Amplitude', "") self.qtgui_time_sink_x_0_1_0_0_0.enable_tags(-1, True) self.qtgui_time_sink_x_0_1_0_0_0.set_trigger_mode(qtgui.TRIG_MODE_FREE, qtgui.TRIG_SLOPE_POS, 0, 1.25e-6, 0, "burst") self.qtgui_time_sink_x_0_1_0_0_0.enable_autoscale(True) self.qtgui_time_sink_x_0_1_0_0_0.enable_grid(True) self.qtgui_time_sink_x_0_1_0_0_0.enable_axis_labels(True) self.qtgui_time_sink_x_0_1_0_0_0.enable_control_panel(False) self.qtgui_time_sink_x_0_1_0_0_0.enable_stem_plot(False) if not False: self.qtgui_time_sink_x_0_1_0_0_0.disable_legend() labels = ['', '', '', '', '', '', '', '', '', ''] widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] colors = ["blue", "red", "green", "black", "cyan", "magenta", "yellow", "dark red", "dark green", "blue"] styles = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] markers = [0, -1, -1, -1, -1, -1, -1, -1, -1, -1] alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] for i in xrange(2): if len(labels[i]) == 0: self.qtgui_time_sink_x_0_1_0_0_0.set_line_label(i, "Data {0}".format(i)) else: self.qtgui_time_sink_x_0_1_0_0_0.set_line_label(i, labels[i]) self.qtgui_time_sink_x_0_1_0_0_0.set_line_width(i, widths[i]) self.qtgui_time_sink_x_0_1_0_0_0.set_line_color(i, colors[i]) self.qtgui_time_sink_x_0_1_0_0_0.set_line_style(i, styles[i]) self.qtgui_time_sink_x_0_1_0_0_0.set_line_marker(i, markers[i]) self.qtgui_time_sink_x_0_1_0_0_0.set_line_alpha(i, alphas[i]) self._qtgui_time_sink_x_0_1_0_0_0_win = sip.wrapinstance(self.qtgui_time_sink_x_0_1_0_0_0.pyqwidget(), Qt.QWidget) self.main_tab_grid_layout_2.addWidget(self._qtgui_time_sink_x_0_1_0_0_0_win, 0, 3, 1, 1) for r in range(0, 1): self.main_tab_grid_layout_2.setRowStretch(r, 1) for c in range(3, 4): self.main_tab_grid_layout_2.setColumnStretch(c, 1) self.qtgui_time_sink_x_0_1_0_0 = qtgui.time_sink_f( int(samp_rate), #size int(samp_rate*8), #samp_rate "CHAN2", #name 2 #number of inputs ) self.qtgui_time_sink_x_0_1_0_0.set_update_time(0.01) self.qtgui_time_sink_x_0_1_0_0.set_y_axis(0, 1) self.qtgui_time_sink_x_0_1_0_0.set_y_label('Amplitude', "") self.qtgui_time_sink_x_0_1_0_0.enable_tags(-1, True) self.qtgui_time_sink_x_0_1_0_0.set_trigger_mode(qtgui.TRIG_MODE_FREE, qtgui.TRIG_SLOPE_POS, 0, 1.25e-6, 0, "burst") self.qtgui_time_sink_x_0_1_0_0.enable_autoscale(True) self.qtgui_time_sink_x_0_1_0_0.enable_grid(True) self.qtgui_time_sink_x_0_1_0_0.enable_axis_labels(True) self.qtgui_time_sink_x_0_1_0_0.enable_control_panel(False) self.qtgui_time_sink_x_0_1_0_0.enable_stem_plot(False) if not False: self.qtgui_time_sink_x_0_1_0_0.disable_legend() labels = ['', '', '', '', '', '', '', '', '', ''] widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] colors = ["blue", "red", "green", "black", "cyan", "magenta", "yellow", "dark red", "dark green", "blue"] styles = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] markers = [0, -1, -1, -1, -1, -1, -1, -1, -1, -1] alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] for i in xrange(2): if len(labels[i]) == 0: self.qtgui_time_sink_x_0_1_0_0.set_line_label(i, "Data {0}".format(i)) else: self.qtgui_time_sink_x_0_1_0_0.set_line_label(i, labels[i]) self.qtgui_time_sink_x_0_1_0_0.set_line_width(i, widths[i]) self.qtgui_time_sink_x_0_1_0_0.set_line_color(i, colors[i]) self.qtgui_time_sink_x_0_1_0_0.set_line_style(i, styles[i]) self.qtgui_time_sink_x_0_1_0_0.set_line_marker(i, markers[i]) self.qtgui_time_sink_x_0_1_0_0.set_line_alpha(i, alphas[i]) self._qtgui_time_sink_x_0_1_0_0_win = sip.wrapinstance(self.qtgui_time_sink_x_0_1_0_0.pyqwidget(), Qt.QWidget) self.main_tab_grid_layout_2.addWidget(self._qtgui_time_sink_x_0_1_0_0_win, 0, 2, 1, 1) for r in range(0, 1): self.main_tab_grid_layout_2.setRowStretch(r, 1) for c in range(2, 3): self.main_tab_grid_layout_2.setColumnStretch(c, 1) self.qtgui_time_sink_x_0_1_0 = qtgui.time_sink_f( int(samp_rate), #size int(samp_rate*8), #samp_rate "CHAN1", #name 2 #number of inputs ) self.qtgui_time_sink_x_0_1_0.set_update_time(0.01) self.qtgui_time_sink_x_0_1_0.set_y_axis(0, 1) self.qtgui_time_sink_x_0_1_0.set_y_label('Amplitude', "") self.qtgui_time_sink_x_0_1_0.enable_tags(-1, True) self.qtgui_time_sink_x_0_1_0.set_trigger_mode(qtgui.TRIG_MODE_FREE, qtgui.TRIG_SLOPE_POS, 0, 1.25e-6, 0, "burst") self.qtgui_time_sink_x_0_1_0.enable_autoscale(True) self.qtgui_time_sink_x_0_1_0.enable_grid(True) self.qtgui_time_sink_x_0_1_0.enable_axis_labels(True) self.qtgui_time_sink_x_0_1_0.enable_control_panel(False) self.qtgui_time_sink_x_0_1_0.enable_stem_plot(False) if not False: self.qtgui_time_sink_x_0_1_0.disable_legend() labels = ['', '', '', '', '', '', '', '', '', ''] widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] colors = ["blue", "red", "green", "black", "cyan", "magenta", "yellow", "dark red", "dark green", "blue"] styles = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] markers = [0, -1, -1, -1, -1, -1, -1, -1, -1, -1] alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] for i in xrange(2): if len(labels[i]) == 0: self.qtgui_time_sink_x_0_1_0.set_line_label(i, "Data {0}".format(i)) else: self.qtgui_time_sink_x_0_1_0.set_line_label(i, labels[i]) self.qtgui_time_sink_x_0_1_0.set_line_width(i, widths[i]) self.qtgui_time_sink_x_0_1_0.set_line_color(i, colors[i]) self.qtgui_time_sink_x_0_1_0.set_line_style(i, styles[i]) self.qtgui_time_sink_x_0_1_0.set_line_marker(i, markers[i]) self.qtgui_time_sink_x_0_1_0.set_line_alpha(i, alphas[i]) self._qtgui_time_sink_x_0_1_0_win = sip.wrapinstance(self.qtgui_time_sink_x_0_1_0.pyqwidget(), Qt.QWidget) self.main_tab_grid_layout_2.addWidget(self._qtgui_time_sink_x_0_1_0_win, 0, 1, 1, 1) for r in range(0, 1): self.main_tab_grid_layout_2.setRowStretch(r, 1) for c in range(1, 2): self.main_tab_grid_layout_2.setColumnStretch(c, 1) self.qtgui_time_sink_x_0_1 = qtgui.time_sink_f( int(samp_rate), #size int(samp_rate*8), #samp_rate "CHAN0", #name 2 #number of inputs ) self.qtgui_time_sink_x_0_1.set_update_time(0.01) self.qtgui_time_sink_x_0_1.set_y_axis(0, 1) self.qtgui_time_sink_x_0_1.set_y_label('Amplitude', "") self.qtgui_time_sink_x_0_1.enable_tags(-1, True) self.qtgui_time_sink_x_0_1.set_trigger_mode(qtgui.TRIG_MODE_FREE, qtgui.TRIG_SLOPE_POS, 0, 1.25e-6, 0, "burst") self.qtgui_time_sink_x_0_1.enable_autoscale(True) self.qtgui_time_sink_x_0_1.enable_grid(True) self.qtgui_time_sink_x_0_1.enable_axis_labels(True) self.qtgui_time_sink_x_0_1.enable_control_panel(False) self.qtgui_time_sink_x_0_1.enable_stem_plot(False) if not False: self.qtgui_time_sink_x_0_1.disable_legend() labels = ['', '', '', '', '', '', '', '', '', ''] widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] colors = ["blue", "red", "green", "black", "cyan", "magenta", "yellow", "dark red", "dark green", "blue"] styles = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] markers = [0, -1, -1, -1, -1, -1, -1, -1, -1, -1] alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] for i in xrange(2): if len(labels[i]) == 0: self.qtgui_time_sink_x_0_1.set_line_label(i, "Data {0}".format(i)) else: self.qtgui_time_sink_x_0_1.set_line_label(i, labels[i]) self.qtgui_time_sink_x_0_1.set_line_width(i, widths[i]) self.qtgui_time_sink_x_0_1.set_line_color(i, colors[i]) self.qtgui_time_sink_x_0_1.set_line_style(i, styles[i]) self.qtgui_time_sink_x_0_1.set_line_marker(i, markers[i]) self.qtgui_time_sink_x_0_1.set_line_alpha(i, alphas[i]) self._qtgui_time_sink_x_0_1_win = sip.wrapinstance(self.qtgui_time_sink_x_0_1.pyqwidget(), Qt.QWidget) self.main_tab_grid_layout_2.addWidget(self._qtgui_time_sink_x_0_1_win, 0, 0, 1, 1) for r in range(0, 1): self.main_tab_grid_layout_2.setRowStretch(r, 1) for c in range(0, 1): self.main_tab_grid_layout_2.setColumnStretch(c, 1) self.qtgui_time_sink_x_0_0_1 = qtgui.time_sink_f( 1024, #size samp_rate, #samp_rate "", #name 1 #number of inputs ) self.qtgui_time_sink_x_0_0_1.set_update_time(0.010) self.qtgui_time_sink_x_0_0_1.set_y_axis(-1, 1) self.qtgui_time_sink_x_0_0_1.set_y_label('Amplitude', "") self.qtgui_time_sink_x_0_0_1.enable_tags(-1, True) self.qtgui_time_sink_x_0_0_1.set_trigger_mode(qtgui.TRIG_MODE_AUTO, qtgui.TRIG_SLOPE_POS, thresh, 0, 0, "") self.qtgui_time_sink_x_0_0_1.enable_autoscale(True) self.qtgui_time_sink_x_0_0_1.enable_grid(False) self.qtgui_time_sink_x_0_0_1.enable_axis_labels(True) self.qtgui_time_sink_x_0_0_1.enable_control_panel(False) self.qtgui_time_sink_x_0_0_1.enable_stem_plot(False) if not True: self.qtgui_time_sink_x_0_0_1.disable_legend() labels = ['', '', '', '', '', '', '', '', '', ''] widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] colors = ["blue", "red", "green", "black", "cyan", "magenta", "yellow", "dark red", "dark green", "blue"] styles = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] markers = [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1] alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] for i in xrange(1): if len(labels[i]) == 0: self.qtgui_time_sink_x_0_0_1.set_line_label(i, "Data {0}".format(i)) else: self.qtgui_time_sink_x_0_0_1.set_line_label(i, labels[i]) self.qtgui_time_sink_x_0_0_1.set_line_width(i, widths[i]) self.qtgui_time_sink_x_0_0_1.set_line_color(i, colors[i]) self.qtgui_time_sink_x_0_0_1.set_line_style(i, styles[i]) self.qtgui_time_sink_x_0_0_1.set_line_marker(i, markers[i]) self.qtgui_time_sink_x_0_0_1.set_line_alpha(i, alphas[i]) self._qtgui_time_sink_x_0_0_1_win = sip.wrapinstance(self.qtgui_time_sink_x_0_0_1.pyqwidget(), Qt.QWidget) self.main_tab_grid_layout_0.addWidget(self._qtgui_time_sink_x_0_0_1_win, 4, 3, 2, 1) for r in range(4, 6): self.main_tab_grid_layout_0.setRowStretch(r, 1) for c in range(3, 4): self.main_tab_grid_layout_0.setColumnStretch(c, 1) self.qtgui_time_sink_x_0_0_0 = qtgui.time_sink_f( 1024, #size samp_rate, #samp_rate "", #name 1 #number of inputs ) self.qtgui_time_sink_x_0_0_0.set_update_time(0.010) self.qtgui_time_sink_x_0_0_0.set_y_axis(-1, 1) self.qtgui_time_sink_x_0_0_0.set_y_label('Amplitude', "") self.qtgui_time_sink_x_0_0_0.enable_tags(-1, True) self.qtgui_time_sink_x_0_0_0.set_trigger_mode(qtgui.TRIG_MODE_AUTO, qtgui.TRIG_SLOPE_POS, thresh, 0, 0, "") self.qtgui_time_sink_x_0_0_0.enable_autoscale(True) self.qtgui_time_sink_x_0_0_0.enable_grid(False) self.qtgui_time_sink_x_0_0_0.enable_axis_labels(True) self.qtgui_time_sink_x_0_0_0.enable_control_panel(False) self.qtgui_time_sink_x_0_0_0.enable_stem_plot(False) if not True: self.qtgui_time_sink_x_0_0_0.disable_legend() labels = ['', '', '', '', '', '', '', '', '', ''] widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] colors = ["blue", "red", "green", "black", "cyan", "magenta", "yellow", "dark red", "dark green", "blue"] styles = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] markers = [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1] alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] for i in xrange(1): if len(labels[i]) == 0: self.qtgui_time_sink_x_0_0_0.set_line_label(i, "Data {0}".format(i)) else: self.qtgui_time_sink_x_0_0_0.set_line_label(i, labels[i]) self.qtgui_time_sink_x_0_0_0.set_line_width(i, widths[i]) self.qtgui_time_sink_x_0_0_0.set_line_color(i, colors[i]) self.qtgui_time_sink_x_0_0_0.set_line_style(i, styles[i]) self.qtgui_time_sink_x_0_0_0.set_line_marker(i, markers[i]) self.qtgui_time_sink_x_0_0_0.set_line_alpha(i, alphas[i]) self._qtgui_time_sink_x_0_0_0_win = sip.wrapinstance(self.qtgui_time_sink_x_0_0_0.pyqwidget(), Qt.QWidget) self.main_tab_grid_layout_0.addWidget(self._qtgui_time_sink_x_0_0_0_win, 4, 2, 2, 1) for r in range(4, 6): self.main_tab_grid_layout_0.setRowStretch(r, 1) for c in range(2, 3): self.main_tab_grid_layout_0.setColumnStretch(c, 1) self.qtgui_time_sink_x_0_0 = qtgui.time_sink_f( 1024, #size samp_rate, #samp_rate "", #name 1 #number of inputs ) self.qtgui_time_sink_x_0_0.set_update_time(0.010) self.qtgui_time_sink_x_0_0.set_y_axis(-1, 1) self.qtgui_time_sink_x_0_0.set_y_label('Amplitude', "") self.qtgui_time_sink_x_0_0.enable_tags(-1, True) self.qtgui_time_sink_x_0_0.set_trigger_mode(qtgui.TRIG_MODE_AUTO, qtgui.TRIG_SLOPE_POS, thresh, 0, 0, "") self.qtgui_time_sink_x_0_0.enable_autoscale(True) self.qtgui_time_sink_x_0_0.enable_grid(False) self.qtgui_time_sink_x_0_0.enable_axis_labels(True) self.qtgui_time_sink_x_0_0.enable_control_panel(False) self.qtgui_time_sink_x_0_0.enable_stem_plot(False) if not True: self.qtgui_time_sink_x_0_0.disable_legend() labels = ['', '', '', '', '', '', '', '', '', ''] widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] colors = ["blue", "red", "green", "black", "cyan", "magenta", "yellow", "dark red", "dark green", "blue"] styles = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] markers = [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1] alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] for i in xrange(1): if len(labels[i]) == 0: self.qtgui_time_sink_x_0_0.set_line_label(i, "Data {0}".format(i)) else: self.qtgui_time_sink_x_0_0.set_line_label(i, labels[i]) self.qtgui_time_sink_x_0_0.set_line_width(i, widths[i]) self.qtgui_time_sink_x_0_0.set_line_color(i, colors[i]) self.qtgui_time_sink_x_0_0.set_line_style(i, styles[i]) self.qtgui_time_sink_x_0_0.set_line_marker(i, markers[i]) self.qtgui_time_sink_x_0_0.set_line_alpha(i, alphas[i]) self._qtgui_time_sink_x_0_0_win = sip.wrapinstance(self.qtgui_time_sink_x_0_0.pyqwidget(), Qt.QWidget) self.main_tab_grid_layout_0.addWidget(self._qtgui_time_sink_x_0_0_win, 4, 1, 2, 1) for r in range(4, 6): self.main_tab_grid_layout_0.setRowStretch(r, 1) for c in range(1, 2): self.main_tab_grid_layout_0.setColumnStretch(c, 1) self.qtgui_time_sink_x_0 = qtgui.time_sink_f( 1024, #size samp_rate, #samp_rate "", #name 1 #number of inputs ) self.qtgui_time_sink_x_0.set_update_time(0.010) self.qtgui_time_sink_x_0.set_y_axis(-1, 1) self.qtgui_time_sink_x_0.set_y_label('Amplitude', "") self.qtgui_time_sink_x_0.enable_tags(-1, True) self.qtgui_time_sink_x_0.set_trigger_mode(qtgui.TRIG_MODE_AUTO, qtgui.TRIG_SLOPE_POS, thresh, 0, 0, "") self.qtgui_time_sink_x_0.enable_autoscale(True) self.qtgui_time_sink_x_0.enable_grid(False) self.qtgui_time_sink_x_0.enable_axis_labels(True) self.qtgui_time_sink_x_0.enable_control_panel(False) self.qtgui_time_sink_x_0.enable_stem_plot(False) if not True: self.qtgui_time_sink_x_0.disable_legend() labels = ['', '', '', '', '', '', '', '', '', ''] widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] colors = ["blue", "red", "green", "black", "cyan", "magenta", "yellow", "dark red", "dark green", "blue"] styles = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] markers = [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1] alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] for i in xrange(1): if len(labels[i]) == 0: self.qtgui_time_sink_x_0.set_line_label(i, "Data {0}".format(i)) else: self.qtgui_time_sink_x_0.set_line_label(i, labels[i]) self.qtgui_time_sink_x_0.set_line_width(i, widths[i]) self.qtgui_time_sink_x_0.set_line_color(i, colors[i]) self.qtgui_time_sink_x_0.set_line_style(i, styles[i]) self.qtgui_time_sink_x_0.set_line_marker(i, markers[i]) self.qtgui_time_sink_x_0.set_line_alpha(i, alphas[i]) self._qtgui_time_sink_x_0_win = sip.wrapinstance(self.qtgui_time_sink_x_0.pyqwidget(), Qt.QWidget) self.main_tab_grid_layout_0.addWidget(self._qtgui_time_sink_x_0_win, 4, 0, 2, 1) for r in range(4, 6): self.main_tab_grid_layout_0.setRowStretch(r, 1) for c in range(0, 1): self.main_tab_grid_layout_0.setColumnStretch(c, 1) self.qtgui_freq_sink_x_0_1_0 = qtgui.freq_sink_c( 1024, #size firdes.WIN_BLACKMAN_hARRIS, #wintype 0, #fc samp_rate, #bw "", #name 1 #number of inputs ) self.qtgui_freq_sink_x_0_1_0.set_update_time(0.010) self.qtgui_freq_sink_x_0_1_0.set_y_axis(-140, 10) self.qtgui_freq_sink_x_0_1_0.set_y_label('Relative Gain', 'dB') self.qtgui_freq_sink_x_0_1_0.set_trigger_mode(qtgui.TRIG_MODE_FREE, 0.0, 0, "") self.qtgui_freq_sink_x_0_1_0.enable_autoscale(False) self.qtgui_freq_sink_x_0_1_0.enable_grid(False) self.qtgui_freq_sink_x_0_1_0.set_fft_average(1.0) self.qtgui_freq_sink_x_0_1_0.enable_axis_labels(True) self.qtgui_freq_sink_x_0_1_0.enable_control_panel(False) if not False: self.qtgui_freq_sink_x_0_1_0.disable_legend() if "complex" == "float" or "complex" == "msg_float": self.qtgui_freq_sink_x_0_1_0.set_plot_pos_half(not True) labels = ['', '', '', '', '', '', '', '', '', ''] widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] colors = ["blue", "red", "green", "black", "cyan", "magenta", "yellow", "dark red", "dark green", "dark blue"] alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] for i in xrange(1): if len(labels[i]) == 0: self.qtgui_freq_sink_x_0_1_0.set_line_label(i, "Data {0}".format(i)) else: self.qtgui_freq_sink_x_0_1_0.set_line_label(i, labels[i]) self.qtgui_freq_sink_x_0_1_0.set_line_width(i, widths[i]) self.qtgui_freq_sink_x_0_1_0.set_line_color(i, colors[i]) self.qtgui_freq_sink_x_0_1_0.set_line_alpha(i, alphas[i]) self._qtgui_freq_sink_x_0_1_0_win = sip.wrapinstance(self.qtgui_freq_sink_x_0_1_0.pyqwidget(), Qt.QWidget) self.main_tab_grid_layout_0.addWidget(self._qtgui_freq_sink_x_0_1_0_win, 0, 3, 2, 1) for r in range(0, 2): self.main_tab_grid_layout_0.setRowStretch(r, 1) for c in range(3, 4): self.main_tab_grid_layout_0.setColumnStretch(c, 1) self.qtgui_freq_sink_x_0_1 = qtgui.freq_sink_c( 1024, #size firdes.WIN_BLACKMAN_hARRIS, #wintype 0, #fc samp_rate, #bw "", #name 1 #number of inputs ) self.qtgui_freq_sink_x_0_1.set_update_time(0.010) self.qtgui_freq_sink_x_0_1.set_y_axis(-140, 10) self.qtgui_freq_sink_x_0_1.set_y_label('Relative Gain', 'dB') self.qtgui_freq_sink_x_0_1.set_trigger_mode(qtgui.TRIG_MODE_FREE, 0.0, 0, "") self.qtgui_freq_sink_x_0_1.enable_autoscale(False) self.qtgui_freq_sink_x_0_1.enable_grid(False) self.qtgui_freq_sink_x_0_1.set_fft_average(1.0) self.qtgui_freq_sink_x_0_1.enable_axis_labels(True) self.qtgui_freq_sink_x_0_1.enable_control_panel(False) if not False: self.qtgui_freq_sink_x_0_1.disable_legend() if "complex" == "float" or "complex" == "msg_float": self.qtgui_freq_sink_x_0_1.set_plot_pos_half(not True) labels = ['', '', '', '', '', '', '', '', '', ''] widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] colors = ["blue", "red", "green", "black", "cyan", "magenta", "yellow", "dark red", "dark green", "dark blue"] alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] for i in xrange(1): if len(labels[i]) == 0: self.qtgui_freq_sink_x_0_1.set_line_label(i, "Data {0}".format(i)) else: self.qtgui_freq_sink_x_0_1.set_line_label(i, labels[i]) self.qtgui_freq_sink_x_0_1.set_line_width(i, widths[i]) self.qtgui_freq_sink_x_0_1.set_line_color(i, colors[i]) self.qtgui_freq_sink_x_0_1.set_line_alpha(i, alphas[i]) self._qtgui_freq_sink_x_0_1_win = sip.wrapinstance(self.qtgui_freq_sink_x_0_1.pyqwidget(), Qt.QWidget) self.main_tab_grid_layout_0.addWidget(self._qtgui_freq_sink_x_0_1_win, 0, 2, 2, 1) for r in range(0, 2): self.main_tab_grid_layout_0.setRowStretch(r, 1) for c in range(2, 3): self.main_tab_grid_layout_0.setColumnStretch(c, 1) self.qtgui_freq_sink_x_0_0 = qtgui.freq_sink_c( 1024, #size firdes.WIN_BLACKMAN_hARRIS, #wintype 0, #fc samp_rate, #bw "", #name 1 #number of inputs ) self.qtgui_freq_sink_x_0_0.set_update_time(0.010) self.qtgui_freq_sink_x_0_0.set_y_axis(-140, 10) self.qtgui_freq_sink_x_0_0.set_y_label('Relative Gain', 'dB') self.qtgui_freq_sink_x_0_0.set_trigger_mode(qtgui.TRIG_MODE_FREE, 0.0, 0, "") self.qtgui_freq_sink_x_0_0.enable_autoscale(False) self.qtgui_freq_sink_x_0_0.enable_grid(False) self.qtgui_freq_sink_x_0_0.set_fft_average(1.0) self.qtgui_freq_sink_x_0_0.enable_axis_labels(True) self.qtgui_freq_sink_x_0_0.enable_control_panel(False) if not False: self.qtgui_freq_sink_x_0_0.disable_legend() if "complex" == "float" or "complex" == "msg_float": self.qtgui_freq_sink_x_0_0.set_plot_pos_half(not True) labels = ['', '', '', '', '', '', '', '', '', ''] widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] colors = ["blue", "red", "green", "black", "cyan", "magenta", "yellow", "dark red", "dark green", "dark blue"] alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] for i in xrange(1): if len(labels[i]) == 0: self.qtgui_freq_sink_x_0_0.set_line_label(i, "Data {0}".format(i)) else: self.qtgui_freq_sink_x_0_0.set_line_label(i, labels[i]) self.qtgui_freq_sink_x_0_0.set_line_width(i, widths[i]) self.qtgui_freq_sink_x_0_0.set_line_color(i, colors[i]) self.qtgui_freq_sink_x_0_0.set_line_alpha(i, alphas[i]) self._qtgui_freq_sink_x_0_0_win = sip.wrapinstance(self.qtgui_freq_sink_x_0_0.pyqwidget(), Qt.QWidget) self.main_tab_grid_layout_0.addWidget(self._qtgui_freq_sink_x_0_0_win, 0, 1, 2, 1) for r in range(0, 2): self.main_tab_grid_layout_0.setRowStretch(r, 1) for c in range(1, 2): self.main_tab_grid_layout_0.setColumnStretch(c, 1) self.qtgui_freq_sink_x_0 = qtgui.freq_sink_c( 1024, #size firdes.WIN_BLACKMAN_hARRIS, #wintype 0, #fc samp_rate, #bw "", #name 1 #number of inputs ) self.qtgui_freq_sink_x_0.set_update_time(0.010) self.qtgui_freq_sink_x_0.set_y_axis(-140, 10) self.qtgui_freq_sink_x_0.set_y_label('Relative Gain', 'dB') self.qtgui_freq_sink_x_0.set_trigger_mode(qtgui.TRIG_MODE_FREE, 0.0, 0, "") self.qtgui_freq_sink_x_0.enable_autoscale(False) self.qtgui_freq_sink_x_0.enable_grid(False) self.qtgui_freq_sink_x_0.set_fft_average(1.0) self.qtgui_freq_sink_x_0.enable_axis_labels(True) self.qtgui_freq_sink_x_0.enable_control_panel(False) if not False: self.qtgui_freq_sink_x_0.disable_legend() if "complex" == "float" or "complex" == "msg_float": self.qtgui_freq_sink_x_0.set_plot_pos_half(not True) labels = ['', '', '', '', '', '', '', '', '', ''] widths = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1] colors = ["blue", "red", "green", "black", "cyan", "magenta", "yellow", "dark red", "dark green", "dark blue"] alphas = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] for i in xrange(1): if len(labels[i]) == 0: self.qtgui_freq_sink_x_0.set_line_label(i, "Data {0}".format(i)) else: self.qtgui_freq_sink_x_0.set_line_label(i, labels[i]) self.qtgui_freq_sink_x_0.set_line_width(i, widths[i]) self.qtgui_freq_sink_x_0.set_line_color(i, colors[i]) self.qtgui_freq_sink_x_0.set_line_alpha(i, alphas[i]) self._qtgui_freq_sink_x_0_win = sip.wrapinstance(self.qtgui_freq_sink_x_0.pyqwidget(), Qt.QWidget) self.main_tab_grid_layout_0.addWidget(self._qtgui_freq_sink_x_0_win, 0, 0, 2, 1) for r in range(0, 2): self.main_tab_grid_layout_0.setRowStretch(r, 1) for c in range(0, 1): self.main_tab_grid_layout_0.setColumnStretch(c, 1) self.pyqt_meta_text_output_0_0_0_0 = pyqt.meta_text_output() self._pyqt_meta_text_output_0_0_0_0_win = self.pyqt_meta_text_output_0_0_0_0; self.main_tab_grid_layout_2.addWidget(self._pyqt_meta_text_output_0_0_0_0_win, 1, 3, 1, 1) for r in range(1, 2): self.main_tab_grid_layout_2.setRowStretch(r, 1) for c in range(3, 4): self.main_tab_grid_layout_2.setColumnStretch(c, 1) self.pyqt_meta_text_output_0_0_0 = pyqt.meta_text_output() self._pyqt_meta_text_output_0_0_0_win = self.pyqt_meta_text_output_0_0_0; self.main_tab_grid_layout_2.addWidget(self._pyqt_meta_text_output_0_0_0_win, 1, 2, 1, 1) for r in range(1, 2): self.main_tab_grid_layout_2.setRowStretch(r, 1) for c in range(2, 3): self.main_tab_grid_layout_2.setColumnStretch(c, 1) self.pyqt_meta_text_output_0_0 = pyqt.meta_text_output() self._pyqt_meta_text_output_0_0_win = self.pyqt_meta_text_output_0_0; self.main_tab_grid_layout_2.addWidget(self._pyqt_meta_text_output_0_0_win, 1, 1, 1, 1) for r in range(1, 2): self.main_tab_grid_layout_2.setRowStretch(r, 1) for c in range(1, 2): self.main_tab_grid_layout_2.setColumnStretch(c, 1) self.pyqt_meta_text_output_0 = pyqt.meta_text_output() self._pyqt_meta_text_output_0_win = self.pyqt_meta_text_output_0; self.main_tab_grid_layout_2.addWidget(self._pyqt_meta_text_output_0_win, 1, 0, 1, 1) for r in range(1, 2): self.main_tab_grid_layout_2.setRowStretch(r, 1) for c in range(0, 1): self.main_tab_grid_layout_2.setColumnStretch(c, 1) self.blocks_throttle_3 = blocks.throttle(gr.sizeof_gr_complex*1, samp_rate / throttle,True) self.blocks_throttle_2 = blocks.throttle(gr.sizeof_gr_complex*1, samp_rate / throttle,True) self.blocks_throttle_1 = blocks.throttle(gr.sizeof_gr_complex*1, samp_rate /throttle,True) self.blocks_throttle_0 = blocks.throttle(gr.sizeof_gr_complex*1, samp_rate / throttle,True) self.blocks_skiphead_3 = blocks.skiphead(gr.sizeof_gr_complex*1, 8522) self.blocks_skiphead_2 = blocks.skiphead(gr.sizeof_gr_complex*1, 0) self.blocks_skiphead_1 = blocks.skiphead(gr.sizeof_gr_complex*1, 1318) self.blocks_skiphead_0 = blocks.skiphead(gr.sizeof_gr_complex*1, 11532) self.blocks_complex_to_mag_squared_1_0_0_0 = blocks.complex_to_mag_squared(1) self.blocks_complex_to_mag_squared_1_0_0 = blocks.complex_to_mag_squared(1) self.blocks_complex_to_mag_squared_1_0 = blocks.complex_to_mag_squared(1) self.blocks_complex_to_mag_squared_1 = blocks.complex_to_mag_squared(1) self.blocks_complex_to_mag_squared_0_1_1 = blocks.complex_to_mag_squared(1) self.blocks_complex_to_mag_squared_0_1_0 = blocks.complex_to_mag_squared(1) self.blocks_complex_to_mag_squared_0_1 = blocks.complex_to_mag_squared(1) self.blocks_complex_to_mag_squared_0 = blocks.complex_to_mag_squared(1) self.analog_const_source_x_0_0_0_0 = analog.sig_source_f(0, analog.GR_CONST_WAVE, 0, 0, thresh) self.analog_const_source_x_0_0_0 = analog.sig_source_f(0, analog.GR_CONST_WAVE, 0, 0, thresh) self.analog_const_source_x_0_0 = analog.sig_source_f(0, analog.GR_CONST_WAVE, 0, 0, thresh) self.analog_const_source_x_0 = analog.sig_source_f(0, analog.GR_CONST_WAVE, 0, 0, thresh) self.analog_agc2_xx_0_3 = analog.agc2_cc(1e-1, 1e-2, 1.0, 1.0) self.analog_agc2_xx_0_3.set_max_gain(65536) self.analog_agc2_xx_0_2 = analog.agc2_cc(1e-1, 1e-2, 1.0, 1.0) self.analog_agc2_xx_0_2.set_max_gain(65536) self.analog_agc2_xx_0_1 = analog.agc2_cc(1e-1, 1e-2, 1.0, 1.0) self.analog_agc2_xx_0_1.set_max_gain(65536) self.analog_agc2_xx_0 = analog.agc2_cc(1e-1, 1e-2, 1.0, 1.0) self.analog_agc2_xx_0.set_max_gain(65536) self.adsb_framer_1_0_0_0 = adsb.framer(samp_rate, thresh) self.adsb_framer_1_0_0 = adsb.framer(samp_rate, thresh) self.adsb_framer_1_0 = adsb.framer(samp_rate, thresh) self.adsb_framer_1 = adsb.framer(samp_rate, thresh) self.adsb_demod_0_0_0_0 = adsb.demod(samp_rate) self.adsb_demod_0_0_0 = adsb.demod(samp_rate) self.adsb_demod_0_0 = adsb.demod(samp_rate) self.adsb_demod_0 = adsb.demod(samp_rate) self.adsb_decoder_0_0_0_0 = adsb.decoder("Extended Squitter Only", "None", "Verbose") self.adsb_decoder_0_0_0 = adsb.decoder("Extended Squitter Only", "None", "Verbose") self.adsb_decoder_0_0 = adsb.decoder("Extended Squitter Only", "None", "Verbose") self.adsb_decoder_0 = adsb.decoder("Extended Squitter Only", "None", "Verbose") ################################################## # Connections ################################################## self.msg_connect((self.adsb_decoder_0, 'decoded'), (self.pyqt_meta_text_output_0, 'pdus')) self.msg_connect((self.adsb_decoder_0_0, 'decoded'), (self.pyqt_meta_text_output_0_0, 'pdus')) self.msg_connect((self.adsb_decoder_0_0_0, 'decoded'), (self.pyqt_meta_text_output_0_0_0, 'pdus')) self.msg_connect((self.adsb_decoder_0_0_0_0, 'decoded'), (self.pyqt_meta_text_output_0_0_0_0, 'pdus')) self.msg_connect((self.adsb_demod_0, 'demodulated'), (self.adsb_decoder_0, 'demodulated')) self.msg_connect((self.adsb_demod_0_0, 'demodulated'), (self.adsb_decoder_0_0, 'demodulated')) self.msg_connect((self.adsb_demod_0_0_0, 'demodulated'), (self.adsb_decoder_0_0_0, 'demodulated')) self.msg_connect((self.adsb_demod_0_0_0_0, 'demodulated'), (self.adsb_decoder_0_0_0_0, 'demodulated')) self.connect((self.adsb_demod_0, 0), (self.qtgui_time_sink_x_0_1, 0)) self.connect((self.adsb_demod_0_0, 0), (self.qtgui_time_sink_x_0_1_0, 0)) self.connect((self.adsb_demod_0_0_0, 0), (self.qtgui_time_sink_x_0_1_0_0, 0)) self.connect((self.adsb_demod_0_0_0_0, 0), (self.qtgui_time_sink_x_0_1_0_0_0, 0)) self.connect((self.adsb_framer_1, 0), (self.adsb_demod_0, 0)) self.connect((self.adsb_framer_1_0, 0), (self.adsb_demod_0_0, 0)) self.connect((self.adsb_framer_1_0_0, 0), (self.adsb_demod_0_0_0, 0)) self.connect((self.adsb_framer_1_0_0_0, 0), (self.adsb_demod_0_0_0_0, 0)) self.connect((self.analog_agc2_xx_0, 0), (self.blocks_complex_to_mag_squared_0, 0)) self.connect((self.analog_agc2_xx_0, 0), (self.blocks_complex_to_mag_squared_1, 0)) self.connect((self.analog_agc2_xx_0, 0), (self.qtgui_freq_sink_x_0, 0)) self.connect((self.analog_agc2_xx_0, 0), (self.qtgui_waterfall_sink_x_0, 0)) self.connect((self.analog_agc2_xx_0_1, 0), (self.blocks_complex_to_mag_squared_0_1, 0)) self.connect((self.analog_agc2_xx_0_1, 0), (self.blocks_complex_to_mag_squared_1_0, 0)) self.connect((self.analog_agc2_xx_0_1, 0), (self.qtgui_freq_sink_x_0_0, 0)) self.connect((self.analog_agc2_xx_0_1, 0), (self.qtgui_waterfall_sink_x_0_0, 0)) self.connect((self.analog_agc2_xx_0_2, 0), (self.blocks_complex_to_mag_squared_0_1_0, 0)) self.connect((self.analog_agc2_xx_0_2, 0), (self.blocks_complex_to_mag_squared_1_0_0, 0)) self.connect((self.analog_agc2_xx_0_2, 0), (self.qtgui_freq_sink_x_0_1, 0)) self.connect((self.analog_agc2_xx_0_2, 0), (self.qtgui_waterfall_sink_x_0_0_0, 0)) self.connect((self.analog_agc2_xx_0_3, 0), (self.blocks_complex_to_mag_squared_0_1_1, 0)) self.connect((self.analog_agc2_xx_0_3, 0), (self.blocks_complex_to_mag_squared_1_0_0_0, 0)) self.connect((self.analog_agc2_xx_0_3, 0), (self.qtgui_freq_sink_x_0_1_0, 0)) self.connect((self.analog_agc2_xx_0_3, 0), (self.qtgui_waterfall_sink_x_0_0_1, 0)) self.connect((self.analog_const_source_x_0, 0), (self.qtgui_time_sink_x_0_1, 1)) self.connect((self.analog_const_source_x_0_0, 0), (self.qtgui_time_sink_x_0_1_0, 1)) self.connect((self.analog_const_source_x_0_0_0, 0), (self.qtgui_time_sink_x_0_1_0_0, 1)) self.connect((self.analog_const_source_x_0_0_0_0, 0), (self.qtgui_time_sink_x_0_1_0_0_0, 1)) self.connect((self.blocks_complex_to_mag_squared_0, 0), (self.qtgui_time_sink_x_0, 0)) self.connect((self.blocks_complex_to_mag_squared_0_1, 0), (self.qtgui_time_sink_x_0_0, 0)) self.connect((self.blocks_complex_to_mag_squared_0_1_0, 0), (self.qtgui_time_sink_x_0_0_0, 0)) self.connect((self.blocks_complex_to_mag_squared_0_1_1, 0), (self.qtgui_time_sink_x_0_0_1, 0)) self.connect((self.blocks_complex_to_mag_squared_1, 0), (self.adsb_framer_1, 0)) self.connect((self.blocks_complex_to_mag_squared_1_0, 0), (self.adsb_framer_1_0, 0)) self.connect((self.blocks_complex_to_mag_squared_1_0_0, 0), (self.adsb_framer_1_0_0, 0)) self.connect((self.blocks_complex_to_mag_squared_1_0_0_0, 0), (self.adsb_framer_1_0_0_0, 0)) self.connect((self.blocks_skiphead_0, 0), (self.blocks_throttle_0, 0)) self.connect((self.blocks_skiphead_1, 0), (self.blocks_throttle_1, 0)) self.connect((self.blocks_skiphead_2, 0), (self.blocks_throttle_2, 0)) self.connect((self.blocks_skiphead_3, 0), (self.blocks_throttle_3, 0)) self.connect((self.blocks_throttle_0, 0), (self.analog_agc2_xx_0, 0)) self.connect((self.blocks_throttle_1, 0), (self.analog_agc2_xx_0_1, 0)) self.connect((self.blocks_throttle_2, 0), (self.analog_agc2_xx_0_2, 0)) self.connect((self.blocks_throttle_3, 0), (self.analog_agc2_xx_0_3, 0)) self.connect((self.sigmf_source_0, 0), (self.blocks_skiphead_0, 0)) self.connect((self.sigmf_source_1, 0), (self.blocks_skiphead_1, 0)) self.connect((self.sigmf_source_2, 0), (self.blocks_skiphead_2, 0)) self.connect((self.sigmf_source_3, 0), (self.blocks_skiphead_3, 0)) def closeEvent(self, event): self.settings = Qt.QSettings("GNU Radio", "kerberos_sigmf_decode1") self.settings.setValue("geometry", self.saveGeometry()) event.accept() def get_throttle(self): return self.throttle def set_throttle(self, throttle): self.throttle = throttle Qt.QMetaObject.invokeMethod(self._throttle_line_edit, "setText", Qt.Q_ARG("QString", eng_notation.num_to_str(self.throttle))) self.blocks_throttle_3.set_sample_rate(self.samp_rate / self.throttle) self.blocks_throttle_2.set_sample_rate(self.samp_rate / self.throttle) self.blocks_throttle_1.set_sample_rate(self.samp_rate /self.throttle) self.blocks_throttle_0.set_sample_rate(self.samp_rate / self.throttle) def get_thresh(self): return self.thresh def set_thresh(self, thresh): self.thresh = thresh Qt.QMetaObject.invokeMethod(self._thresh_line_edit, "setText", Qt.Q_ARG("QString", eng_notation.num_to_str(self.thresh))) self.qtgui_time_sink_x_0_0_1.set_trigger_mode(qtgui.TRIG_MODE_AUTO, qtgui.TRIG_SLOPE_POS, self.thresh, 0, 0, "") self.qtgui_time_sink_x_0_0_0.set_trigger_mode(qtgui.TRIG_MODE_AUTO, qtgui.TRIG_SLOPE_POS, self.thresh, 0, 0, "") self.qtgui_time_sink_x_0_0.set_trigger_mode(qtgui.TRIG_MODE_AUTO, qtgui.TRIG_SLOPE_POS, self.thresh, 0, 0, "") self.qtgui_time_sink_x_0.set_trigger_mode(qtgui.TRIG_MODE_AUTO, qtgui.TRIG_SLOPE_POS, self.thresh, 0, 0, "") self.analog_const_source_x_0_0_0_0.set_offset(self.thresh) self.analog_const_source_x_0_0_0.set_offset(self.thresh) self.analog_const_source_x_0_0.set_offset(self.thresh) self.analog_const_source_x_0.set_offset(self.thresh) self.adsb_framer_1_0_0_0.set_threshold(self.thresh) self.adsb_framer_1_0_0.set_threshold(self.thresh) self.adsb_framer_1_0.set_threshold(self.thresh) self.adsb_framer_1.set_threshold(self.thresh) def get_samp_rate(self): return self.samp_rate def set_samp_rate(self, samp_rate): self.samp_rate = samp_rate self.qtgui_waterfall_sink_x_0_0_1.set_frequency_range(0, self.samp_rate) self.qtgui_waterfall_sink_x_0_0_0.set_frequency_range(0, self.samp_rate) self.qtgui_waterfall_sink_x_0_0.set_frequency_range(0, self.samp_rate) self.qtgui_waterfall_sink_x_0.set_frequency_range(0, self.samp_rate) self.qtgui_time_sink_x_0_1_0_0_0.set_samp_rate(int(self.samp_rate*8)) self.qtgui_time_sink_x_0_1_0_0.set_samp_rate(int(self.samp_rate*8)) self.qtgui_time_sink_x_0_1_0.set_samp_rate(int(self.samp_rate*8)) self.qtgui_time_sink_x_0_1.set_samp_rate(int(self.samp_rate*8)) self.qtgui_time_sink_x_0_0_1.set_samp_rate(self.samp_rate) self.qtgui_time_sink_x_0_0_0.set_samp_rate(self.samp_rate) self.qtgui_time_sink_x_0_0.set_samp_rate(self.samp_rate) self.qtgui_time_sink_x_0.set_samp_rate(self.samp_rate) self.qtgui_freq_sink_x_0_1_0.set_frequency_range(0, self.samp_rate) self.qtgui_freq_sink_x_0_1.set_frequency_range(0, self.samp_rate) self.qtgui_freq_sink_x_0_0.set_frequency_range(0, self.samp_rate) self.qtgui_freq_sink_x_0.set_frequency_range(0, self.samp_rate) self.blocks_throttle_3.set_sample_rate(self.samp_rate / self.throttle) self.blocks_throttle_2.set_sample_rate(self.samp_rate / self.throttle) self.blocks_throttle_1.set_sample_rate(self.samp_rate /self.throttle) self.blocks_throttle_0.set_sample_rate(self.samp_rate / self.throttle) def main(top_block_cls=kerberos_sigmf_decode1, options=None): from distutils.version import StrictVersion if StrictVersion(Qt.qVersion()) >= StrictVersion("4.5.0"): style = gr.prefs().get_string('qtgui', 'style', 'raster') Qt.QApplication.setGraphicsSystem(style) qapp = Qt.QApplication(sys.argv) tb = top_block_cls() tb.start() tb.show() def quitting(): tb.stop() tb.wait() qapp.connect(qapp, Qt.SIGNAL("aboutToQuit()"), quitting) qapp.exec_() if __name__ == '__main__': main()

49.777677

203

0.638356

9,119

54,855

3.402895

0.035201

0.030937

0.068061

0.109568

0.924495

0.913796

0.882666

0.86188

0.847282

0.824724

0

0.068101

0.23254

54,855

1,101

204

49.822888

0.668995

0.012797

0

0.406797

0

0.004119

0.040995

0.007342

0

null

0.00103

0.018538

null

0.00103

0

null

0

1

0

null

0

1

0

7

46b479be11afac9332cdc9d02ccc8d8b01117fe9

129

py

Python

test/solution_tests/HLO/test_hello.py

DPNT-Sourcecode/CHK-pdqp01

df6e16223974acf27b0730388efc2d2e1b2e7402

[ "Apache-2.0" ]

null

test/solution_tests/HLO/test_hello.py

DPNT-Sourcecode/CHK-pdqp01

df6e16223974acf27b0730388efc2d2e1b2e7402

[ "Apache-2.0" ]

null

test/solution_tests/HLO/test_hello.py

DPNT-Sourcecode/CHK-pdqp01

df6e16223974acf27b0730388efc2d2e1b2e7402

[ "Apache-2.0" ]

null

from solutions.HLO import hello_solution def test_hello(): assert hello_solution.hello("test_input") == "Hello, test_input!"

32.25

69

0.767442

18

129

5.222222

0.555556

0.276596

0.297872

0

0.116279

129

4

69

32.25

0.824561

0

0.215385

0

0.333333

1

0.333333

true

0

0.333333

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7