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py
Python
src/code/static_network/globals.py
dvaruas/minority_recommendations
8adcbf5af5c322e4b20d4336b12ecda62a5c4d5f
[ "MIT" ]
null
null
null
src/code/static_network/globals.py
dvaruas/minority_recommendations
8adcbf5af5c322e4b20d4336b12ecda62a5c4d5f
[ "MIT" ]
null
null
null
src/code/static_network/globals.py
dvaruas/minority_recommendations
8adcbf5af5c322e4b20d4336b12ecda62a5c4d5f
[ "MIT" ]
null
null
null
import os PARAMETERS_PATH = os.path.join(os.path.dirname(__file__), os.pardir, "common", "parameters.ini") STATIC_DATA_PATH = os.path.join(os.path.dirname(__file__), os.pardir, os.pardir, os.pardir, "data", "synthetic", "static")
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py
Python
api.py
sVialaret/SCmon2000EP
a7197825462741811129af2980c8acd56073b25c
[ "MIT" ]
1
2018-07-07T21:18:11.000Z
2018-07-07T21:18:11.000Z
api.py
sVialaret/SCmon2000EP
a7197825462741811129af2980c8acd56073b25c
[ "MIT" ]
null
null
null
api.py
sVialaret/SCmon2000EP
a7197825462741811129af2980c8acd56073b25c
[ "MIT" ]
null
null
null
# -*- coding: utf-8 -*- import requests from datetime import datetime import hashlib import urllib import base64 import random as rd allocine_secret_key = '29d185d98c984a359e6e6f26a0474269' allocine_partner = '100043982026' formatUrl = 'json' def init_connect(): ### Initialisation : user-agent aleatoire v = str(rd.randint(1, 4)) + '.' + str(rd.randint(0,9)) a = str(rd.randint(0, 9)) b = str(rd.randint(0, 99)) c = str(rd.randint(0, 999)) userAgents = [ "Mozilla/5.0 (Linux; U; Android " + v + "; fr-fr; Nexus One Build/FRF91) AppleWebKit/5" + b + "." + c + " (KHTML, like Gecko) Version/" + a + "." + a + " Mobile Safari/5" + b + "." + c + "", "Mozilla/5.0 (Linux; U; Android " + v + "; fr-fr; Dell Streak Build/Donut AppleWebKit/5" + b + "." + c + "+ (KHTML, like Gecko) Version/3." + a + ".2 Mobile Safari/ 5" + b + "." + c + ".1", "Mozilla/5.0 (Linux; U; Android 4." + v + "; fr-fr; LG-L160L Build/IML74K) AppleWebkit/534.30 (KHTML, like Gecko) Version/4.0 Mobile Safari/534.30", "Mozilla/5.0 (Linux; U; Android 4." + v + "; fr-fr; HTC Sensation Build/IML74K) AppleWebKit/534.30 (KHTML, like Gecko) Version/4.0 Mobile Safari/534.30", "Mozilla/5.0 (Linux; U; Android " + v + "; en-gb) AppleWebKit/999+ (KHTML, like Gecko) Safari/9" + b + "." + a + "", "Mozilla/5.0 (Linux; U; Android " + v + ".5; fr-fr; HTC_IncredibleS_S710e Build/GRJ" + b + ") AppleWebKit/5" + b + ".1 (KHTML, like Gecko) Version/4.0 Mobile Safari/5" + b + ".1", "Mozilla/5.0 (Linux; U; Android 2." + v + "; fr-fr; HTC Vision Build/GRI" + b + ") AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1", "Mozilla/5.0 (Linux; U; Android " + v + ".4; fr-fr; HTC Desire Build/GRJ" + b + ") AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1", "Mozilla/5.0 (Linux; U; Android 2." + v + "; fr-fr; T-Mobile myTouch 3G Slide Build/GRI40) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1", "Mozilla/5.0 (Linux; U; Android " + v + ".3; fr-fr; HTC_Pyramid Build/GRI40) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1", "Mozilla/5.0 (Linux; U; Android 2." + v + "; fr-fr; HTC_Pyramid Build/GRI40) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari", "Mozilla/5.0 (Linux; U; Android 2." + v + "; fr-fr; HTC Pyramid Build/GRI40) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/5" + b + ".1", "Mozilla/5.0 (Linux; U; Android 2." + v + "; fr-fr; LG-LU3000 Build/GRI40) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/5" + b + ".1", "Mozilla/5.0 (Linux; U; Android 2." + v + "; fr-fr; HTC_DesireS_S510e Build/GRI" + a + ") AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/" + c + ".1", "Mozilla/5.0 (Linux; U; Android 2." + v + "; fr-fr; HTC_DesireS_S510e Build/GRI40) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile", "Mozilla/5.0 (Linux; U; Android " + v + ".3; fr-fr; HTC Desire Build/GRI" + a + ") AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1", "Mozilla/5.0 (Linux; U; Android 2." + v + "; fr-fr; HTC Desire Build/FRF" + a + ") AppleWebKit/533.1 (KHTML, like Gecko) Version/" + a + ".0 Mobile Safari/533.1", "Mozilla/5.0 (Linux; U; Android " + v + "; fr-lu; HTC Legend Build/FRF91) AppleWebKit/533.1 (KHTML, like Gecko) Version/" + a + "." + a + " Mobile Safari/" + c + "." + a + "", "Mozilla/5.0 (Linux; U; Android " + v + "; fr-fr; HTC_DesireHD_A9191 Build/FRF91) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1", "Mozilla/5.0 (Linux; U; Android " + v + ".1; fr-fr; HTC_DesireZ_A7" + c + " Build/FRG83D) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/" + c + "." + a + "", "Mozilla/5.0 (Linux; U; Android " + v + ".1; en-gb; HTC_DesireZ_A7272 Build/FRG83D) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/" + c + ".1", "Mozilla/5.0 (Linux; U; Android " + v + "; fr-fr; LG-P5" + b + " Build/FRG83) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1" ] headersUA = {'user-agent' : userAgents[rd.randint(0,len(userAgents)-1)]} return headersUA def getDate(): dateComplete = datetime.now() year = dateComplete.year month = dateComplete.month day = dateComplete.day if month < 10: strMonth = '0' + str(month) else: strMonth = str(month) if day < 10: strDay = '0' + str(day) else: strDay = str(day) YMDstr = str(year) + strMonth + strDay return YMDstr def inputToCity(city): """ code de retour : 100 : tout est normal 200 : la requete n'a pas abouti 300 : la ville n'existe pas """ headersUA = init_connect() YMDstr = getDate() searchField = city filterField = '' countField = '500' pageField = '1' url = 'q=' + searchField + '&filter=' + filterField + '&count=' + countField + '&page=' + pageField + '&format=json&partner=' + allocine_partner + '&sed=' + YMDstr toEncrypt = allocine_secret_key + url sig = urllib.parse.quote_plus(base64.b64encode(hashlib.sha1(toEncrypt.encode('utf-8')).digest())) urlComplete = 'http://api.allocine.fr/rest/v3/search?' + url + "&sig=" + sig codeRetour = 200 try: req = requests.get(urlComplete, headers=headersUA) except: return [], codeRetour if req.status_code == 200: codeRetour = 100 if 'location' in req.json()['feed']: return req.json()['feed']['location'], codeRetour else: codeRetour = 300 return [], codeRetour def cityDesc(codePostal): """ code de retour : 100 : tout est normal 200 : la requete n'a pas abouti 300 : pas de cine dans la ville 400 : la ville n'existe pas """ headersUA = init_connect() YMDstr = getDate() searchField = codePostal filterField = '' countField = '500' pageField = '1' url = 'q=' + searchField + '&filter=' + filterField + '&count=' + countField + '&page=' + pageField + '&format=json&partner=' + allocine_partner + '&sed=' + YMDstr toEncrypt = allocine_secret_key + url sig = urllib.parse.quote_plus(base64.b64encode(hashlib.sha1(toEncrypt.encode('utf-8')).digest())) urlComplete = 'http://api.allocine.fr/rest/v3/search?' + url + "&sig=" + sig codeRetour = 200 listeCine = [] try: req = requests.get(urlComplete, headers=headersUA) except: return listeCine, codeRetour # print(req.json()) if req.status_code == 200: codeRetour = 100 if 'location' in req.json()['feed']: if 'theater' in req.json()['feed']: for theaterCity in req.json()['feed']['theater']: listeCine.append(theaterCity) else: codeRetour = 300 else: codeRetour = 400 return listeCine, codeRetour def showtimeInTheater(codeTheater, jour): headersUA = init_connect() YMDstr = getDate() searchField = codeTheater filterField = '' countField = '500' pageField = '1' url = 'theaters=' + searchField + '&date='+ jour + '&filter=' + filterField + '&count=' + countField + '&page=' + pageField + '&format=json&partner=' + allocine_partner + '&sed=' + YMDstr toEncrypt = allocine_secret_key + url sig = urllib.parse.quote_plus(base64.b64encode(hashlib.sha1(toEncrypt.encode('utf-8')).digest())) urlComplete = 'http://api.allocine.fr/rest/v3/showtimelist?' + url + "&sig=" + sig req = requests.get(urlComplete, headers=headersUA) return req.json()['feed'] def infoFilm(codeFilm): headersUA = init_connect() YMDstr = getDate() searchField = str(codeFilm) filterField = '' countField = '500' pageField = '1' url = 'code=' + searchField + '&filter=' + filterField + '&count=' + countField + '&page=' + pageField + '&format=json&partner=' + allocine_partner + '&sed=' + YMDstr toEncrypt = allocine_secret_key + url sig = urllib.parse.quote_plus(base64.b64encode(hashlib.sha1(toEncrypt.encode('utf-8')).digest())) urlComplete = 'http://api.allocine.fr/rest/v3/movie?' + url + "&sig=" + sig req = requests.get(urlComplete, headers=headersUA) return req.json() def getImg(url): urllib.request.urlretrieve(url, "/tmp/poster.jpg")
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py
Python
tests/behavioural/features/steps/status_code.py
ONSdigital/ras-secure-message
0713214e89e84ac0c16f2eb075883e4c05d48179
[ "MIT" ]
6
2017-06-30T12:31:36.000Z
2018-03-06T12:34:11.000Z
tests/behavioural/features/steps/status_code.py
ONSdigital/ras-secure-message
0713214e89e84ac0c16f2eb075883e4c05d48179
[ "MIT" ]
97
2017-06-28T11:55:43.000Z
2021-12-24T09:22:17.000Z
tests/behavioural/features/steps/status_code.py
ONSdigital/ras-secure-message
0713214e89e84ac0c16f2eb075883e4c05d48179
[ "MIT" ]
2
2017-05-05T10:31:41.000Z
2021-04-11T07:46:18.000Z
import nose.tools from behave import then @then("a success status code 200 is returned") def step_impl_200_success_returned(context): """validate that the status code was 200""" nose.tools.assert_equal(context.response.status_code, 200) @then("a success status code no content 204 is returned") def step_impl_204_success_returned(context): """validate that the status code was 204""" nose.tools.assert_equal(context.response.status_code, 204) @then("a created status code 201 is returned") def step_impl_201_success_returned(context): """validate that the status code was 201""" nose.tools.assert_equal(context.response.status_code, 201) @then("a bad request status code 400 is returned") def step_impl_a_bad_request_is_returned(context): """validate that the status code was 400""" nose.tools.assert_equal(context.response.status_code, 400) @then("a forbidden status code 403 is returned") def step_impl_403_returned(context): """validate that the status code was 403""" nose.tools.assert_equal(context.response.status_code, 403) @then("a not found status code 404 is returned") def step_impl_404_returned(context): """validate that the status code was 404""" nose.tools.assert_equal(context.response.status_code, 404) @then("a not allowed status code (405) is returned") def step_impl_405_returned(context): """validate that the status code was 405""" nose.tools.assert_equal(context.response.status_code, 405) @then("a conflict error status code (409) is returned") def step_impl_409_returned(context): """validate that the status code was 409""" nose.tools.assert_equal(context.response.status_code, 409) @then("a '{status_code}' status code is returned") def step_impl_status_code_returned(context, status_code): """validate that the status code was a specific value""" nose.tools.assert_equal(context.response.status_code, int(status_code))
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py
Python
sources/breakout/breakout03.py
kantel/python-schulung
c319125c4a6f8479aff5ca5e66f3bbfbf48eb22c
[ "MIT" ]
null
null
null
sources/breakout/breakout03.py
kantel/python-schulung
c319125c4a6f8479aff5ca5e66f3bbfbf48eb22c
[ "MIT" ]
null
null
null
sources/breakout/breakout03.py
kantel/python-schulung
c319125c4a6f8479aff5ca5e66f3bbfbf48eb22c
[ "MIT" ]
null
null
null
import tkinter as tk from gameworld03 import World if __name__ == "__main__": root = tk.Tk() root.title("Hello, Pong!") world = World(root) world.mainloop()
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py
Python
processor.py
GPrathap/OpenBCIPython
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[ "MIT" ]
1
2021-11-07T12:01:08.000Z
2021-11-07T12:01:08.000Z
processor.py
GPrathap/OpenBCIPython
0f5be167fb09d31c15885003eeafec8cdc08dbfa
[ "MIT" ]
null
null
null
processor.py
GPrathap/OpenBCIPython
0f5be167fb09d31c15885003eeafec8cdc08dbfa
[ "MIT" ]
1
2020-10-15T08:35:01.000Z
2020-10-15T08:35:01.000Z
import pydub import os import seaborn as sb from manager import FeatureManager from features.energy import Energy from features.fft import FFT from features.mean import Mean from features.mfcc import MFCC from features.zcr import ZCR from utils.Audio import Audio sb.set(style="white", palette="muted") import random random.seed(20150420) class Clip: RATE = 44100 # All recordings in ESC are 44.1 kHz FRAME = 248 # Frame size in samples def __init__(self, filename, file_type): self.filename = os.path.basename(filename) self.path = os.path.abspath(filename) self.directory = os.path.dirname(self.path) self.category = self.directory.split('/')[-1] self.audio = Audio(self.path, file_type) with self.audio as audio: self.featureManager = FeatureManager() self.featureManager.addRegisteredFeatures(MFCC(self.audio,None, 32, self.FRAME, self.RATE), "mfcc") self.featureManager.addRegisteredFeatures(FFT(self.audio,None,1024, self.FRAME, self.RATE), "fft") # TODO recheck # self.featureManager.addRegisteredFeatures(Energy(self.audio,None,self.FRAME, self.RATE), "energy") self.featureManager.addRegisteredFeatures(ZCR(self.audio,None,self.FRAME, self.RATE), "zcr") self.featureManager.addRegisteredFeatures(Mean(self.audio, None, self.FRAME, self.RATE), "mean") self.featureManager.getRegisteredFeature("mfcc").compute_mfcc() self.featureManager.getRegisteredFeature("fft").compute_fft() #TODO recheck # self.featureManager.getRegisteredFeature("energy").compute_energy() # self.featureManager.getRegisteredFeature("energy").compute_energy_entropy() self.featureManager.getRegisteredFeature("zcr").compute_zcr() self.featureManager.getRegisteredFeature("mean").compute_mean() self.feature_list = self.featureManager.getRegisteredFeatures() def __repr__(self): return '<{0}/{1}>'.format(self.category, self.filename) def get_feature_vector(self): return self.featureManager.getRegisteredFeature("fft").get_logamplitude()
24.271739
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0.68876
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2,233
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0.297189
0.166117
0.175346
0.056032
0.164799
0.134476
0.059328
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0.201523
2,233
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24.538462
0.835109
0.145096
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1
0
0
2
e776c4a51bd56f025b8a5aa8b6dd6e07e98ccfa4
1,249
py
Python
file_builder/test/__init__.py
btrekkie/file-builder
e85726ed647ad7a73839c7410618ef3f118c96c9
[ "MIT" ]
1
2020-05-29T17:13:26.000Z
2020-05-29T17:13:26.000Z
file_builder/test/__init__.py
btrekkie/file-builder
e85726ed647ad7a73839c7410618ef3f118c96c9
[ "MIT" ]
4
2021-06-14T18:42:55.000Z
2022-03-27T13:36:54.000Z
file_builder/test/__init__.py
btrekkie/file-builder
e85726ed647ad7a73839c7410618ef3f118c96c9
[ "MIT" ]
null
null
null
from .args_test import ArgsTest from .arithmetic_test import ArithmeticTest from .build_dirs_test import BuildDirsTest from .build_file_test import BuildFileTest from .bundle_tags_test import BundleTagsTest from .caching_test import CachingTest from .case_test import CaseTest from .clean_test import CleanTest from .created_files_test import CreatedFilesTest from .error_handling_test import ErrorHandlingTest from .error_test import ErrorTest from .file_backups_test import FileBackupsTest from .file_comparison_test import FileComparisonTest from .hash_dirs_test import HashDirsTest from .json_util_test import JsonUtilTest from .lambda_test import LambdaTest from .setup_failed_test import SetupFailedTest from .simple_operations_test import SimpleOperationsTest from .swap_dirs_and_files_test import SwapDirsAndFilesTest from .versions_test import VersionsTest __all__ = [ 'ArgsTest', 'ArithmeticTest', 'BuildDirsTest', 'BuildFileTest', 'BundleTagsTest', 'CachingTest', 'CaseTest', 'CleanTest', 'CreatedFilesTest', 'ErrorHandlingTest', 'ErrorTest', 'FileBackupsTest', 'FileComparisonTest', 'HashDirsTest', 'JsonUtilTest', 'LambdaTest', 'SetupFailedTest', 'SimpleOperationsTest', 'SwapDirsAndFilesTest', 'VersionsTest']
43.068966
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1,249
7.414815
0.377778
0.1998
0.027972
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1
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1
0
0
2
e7804903cb7c22b31443ae1d6aa38133fef36381
1,108
py
Python
problem_5.py
m-yuhas/project_euler
ea7b5ee0c715426fb08062f576dcd633a824b848
[ "MIT" ]
null
null
null
problem_5.py
m-yuhas/project_euler
ea7b5ee0c715426fb08062f576dcd633a824b848
[ "MIT" ]
null
null
null
problem_5.py
m-yuhas/project_euler
ea7b5ee0c715426fb08062f576dcd633a824b848
[ "MIT" ]
null
null
null
#!/usr/bin/python from math import ceil, sqrt def find_prime_factors(n): """ Returns an array of the prime factors on n Loops from 2 to sqrt(n) to pull off a prime factor Recursively computes factors until the remaining number is prime """ for i in range(2,ceil(sqrt(n))+1): if n % i == 0: return [i] + find_prime_factors(int(n/i)) return [n] if __name__ == '__main__': prime_factors = {} for i in range(2,21): prime_factors_of_i = {} for j in find_prime_factors(i): if j not in prime_factors_of_i: prime_factors_of_i[j] = 1 else: prime_factors_of_i[j] += 1 for key in prime_factors_of_i: if key not in prime_factors or prime_factors_of_i[key] > prime_factors[key]: prime_factors[key] = prime_factors_of_i[key] smallest_multiple = 1 for key in prime_factors: smallest_multiple *= key ** prime_factors[key] print("The smallest multiple of the numbers 1 through 20 is "+str(smallest_multiple))
35.741935
90
0.608303
167
1,108
3.772455
0.335329
0.32381
0.155556
0.166667
0.293651
0.190476
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0.306859
1,108
30
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36.933333
0.803385
0.157942
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0.045455
false
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2
e780e9824ee241c0711032c06c3d25c7ce2099c8
177
py
Python
main.py
rp-bot/Instagram-DM-bot1
5c040f5f4533718027254cb171e91b40590b54a8
[ "MIT" ]
null
null
null
main.py
rp-bot/Instagram-DM-bot1
5c040f5f4533718027254cb171e91b40590b54a8
[ "MIT" ]
null
null
null
main.py
rp-bot/Instagram-DM-bot1
5c040f5f4533718027254cb171e91b40590b54a8
[ "MIT" ]
null
null
null
# run this file import notification_alert as notif import reply if __name__ == '__main__': away = True while away: notif.checkstatus() reply.bot_init()
17.7
34
0.661017
22
177
4.863636
0.818182
0
0
0
0
0
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0
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0
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0.259887
177
9
35
19.666667
0.816794
0.073446
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0.049383
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false
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0.285714
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0
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0
0
0
0
2
e79679623553bf3e6b0c212a4abe4239e1e9c46e
597
py
Python
custom_model_metrics_visualize.py
Miso-K/DDCW
aa033e1bf9258eee0a39b6dd69260910179528e0
[ "MIT" ]
1
2021-12-07T19:22:27.000Z
2021-12-07T19:22:27.000Z
custom_model_metrics_visualize.py
Miso-K/DDCW
aa033e1bf9258eee0a39b6dd69260910179528e0
[ "MIT" ]
null
null
null
custom_model_metrics_visualize.py
Miso-K/DDCW
aa033e1bf9258eee0a39b6dd69260910179528e0
[ "MIT" ]
null
null
null
import pickle """Run visualization of internal metrics of DDCW model after evaluation (read saved evaluation object)""" evaluator = pickle.load(open("evaluatorobject", "rb")) # Plotting internal model metrics (for DDCW model) from utils import plot_custom_model_metrics as pc pc.plot_model_size(evaluator, model_ids=[0,1], model_names=['DDCW-100', 'DDCW-1000'], plot_title='Progress of experts in DDCW with and without diversity') pc.plot_diversity(evaluator, model_ids=[0,1], model_names=['DDCW-E', 'DDCW-D'], plot_title='Progress of diversity in DDCW with and without diversity') pc.plt.show()
59.7
154
0.775544
92
597
4.902174
0.5
0.039911
0.075388
0.079823
0.283814
0.283814
0.283814
0.146341
0
0
0
0.020561
0.103853
597
9
155
66.333333
0.82243
0.080402
0
0
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0.352941
0
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0
0
0
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1
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false
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0.333333
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0.333333
0
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null
0
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null
0
0
0
0
0
0
0
0
1
0
0
0
0
2
e7bdecb59192c20a3769338156f36e66c6aeb79a
687
py
Python
codenames/messages.py
dieret/codenames
dc4bf9c873c2bf96d7a0fd86bc46e570f9721f0f
[ "MIT" ]
null
null
null
codenames/messages.py
dieret/codenames
dc4bf9c873c2bf96d7a0fd86bc46e570f9721f0f
[ "MIT" ]
null
null
null
codenames/messages.py
dieret/codenames
dc4bf9c873c2bf96d7a0fd86bc46e570f9721f0f
[ "MIT" ]
null
null
null
#!/usr/bin/env python3 # std from typing import List, Optional # ours from codenames.users import User class Message: def __init__(self, message: str, user: Optional[User] = None): self.user = user # type: Optional[User] self.message = message def to_html(self): if self.user: return self.user.to_html() + " " + self.message else: return self.message class Messages: def __init__(self): self.messages = [] # type: List[Message] def add_message(self, message: Message): self.messages.append(message) def to_html(self): return "<br/>".join([m.to_html() for m in self.messages])
22.16129
66
0.615721
89
687
4.606742
0.393258
0.134146
0.073171
0.078049
0.097561
0
0
0
0
0
0
0.00198
0.26492
687
30
67
22.9
0.809901
0.103348
0
0.111111
0
0
0.00982
0
0
0
0
0
0
1
0.277778
false
0
0.111111
0.055556
0.666667
0
0
0
0
null
0
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0
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0
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0
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0
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0
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0
0
0
null
0
0
0
0
0
1
0
0
0
0
1
0
0
2
e7c92b00482e580e8ca5918a5b90b90b5f5a5cc8
68,133
py
Python
pysnmp-with-texts/DOCS-RPHY-PTP-MIB.py
agustinhenze/mibs.snmplabs.com
1fc5c07860542b89212f4c8ab807057d9a9206c7
[ "Apache-2.0" ]
8
2019-05-09T17:04:00.000Z
2021-06-09T06:50:51.000Z
pysnmp-with-texts/DOCS-RPHY-PTP-MIB.py
agustinhenze/mibs.snmplabs.com
1fc5c07860542b89212f4c8ab807057d9a9206c7
[ "Apache-2.0" ]
4
2019-05-31T16:42:59.000Z
2020-01-31T21:57:17.000Z
pysnmp-with-texts/DOCS-RPHY-PTP-MIB.py
agustinhenze/mibs.snmplabs.com
1fc5c07860542b89212f4c8ab807057d9a9206c7
[ "Apache-2.0" ]
10
2019-04-30T05:51:36.000Z
2022-02-16T03:33:41.000Z
# # PySNMP MIB module DOCS-RPHY-PTP-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/DOCS-RPHY-PTP-MIB # Produced by pysmi-0.3.4 at Wed May 1 12:53:44 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # ObjectIdentifier, OctetString, Integer = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "OctetString", "Integer") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ValueRangeConstraint, SingleValueConstraint, ConstraintsUnion, ConstraintsIntersection, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueRangeConstraint", "SingleValueConstraint", "ConstraintsUnion", "ConstraintsIntersection", "ValueSizeConstraint") clabProjDocsis, = mibBuilder.importSymbols("CLAB-DEF-MIB", "clabProjDocsis") IfDirection, = mibBuilder.importSymbols("DOCS-IF3-MIB", "IfDirection") docsRphyRpdDevInfoUniqueId, = mibBuilder.importSymbols("DOCS-RPHY-MIB", "docsRphyRpdDevInfoUniqueId") IANAPhysicalClass, = mibBuilder.importSymbols("IANA-ENTITY-MIB", "IANAPhysicalClass") IANAifType, = mibBuilder.importSymbols("IANAifType-MIB", "IANAifType") ifIndex, InterfaceIndex, InterfaceIndexOrZero = mibBuilder.importSymbols("IF-MIB", "ifIndex", "InterfaceIndex", "InterfaceIndexOrZero") InetAddressType, InetAddress, InetPortNumber, InetVersion, InetAddressPrefixLength = mibBuilder.importSymbols("INET-ADDRESS-MIB", "InetAddressType", "InetAddress", "InetPortNumber", "InetVersion", "InetAddressPrefixLength") SnmpAdminString, = mibBuilder.importSymbols("SNMP-FRAMEWORK-MIB", "SnmpAdminString") ModuleCompliance, ObjectGroup, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "ObjectGroup", "NotificationGroup") TimeTicks, ModuleIdentity, ObjectIdentity, Integer32, NotificationType, iso, Counter64, MibIdentifier, Unsigned32, IpAddress, Gauge32, MibScalar, MibTable, MibTableRow, MibTableColumn, Counter32, Bits = mibBuilder.importSymbols("SNMPv2-SMI", "TimeTicks", "ModuleIdentity", "ObjectIdentity", "Integer32", "NotificationType", "iso", "Counter64", "MibIdentifier", "Unsigned32", "IpAddress", "Gauge32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Counter32", "Bits") AutonomousType, MacAddress, DateAndTime, DisplayString, TimeStamp, TruthValue, PhysAddress, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "AutonomousType", "MacAddress", "DateAndTime", "DisplayString", "TimeStamp", "TruthValue", "PhysAddress", "TextualConvention") UUIDorZero, = mibBuilder.importSymbols("UUID-TC-MIB", "UUIDorZero") docsRphyPtpMib = ModuleIdentity((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32)) docsRphyPtpMib.setRevisions(('2017-04-13 00:00',)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): if mibBuilder.loadTexts: docsRphyPtpMib.setRevisionsDescriptions(('Initial version, created by R-OSSI-N-17.1721-3.',)) if mibBuilder.loadTexts: docsRphyPtpMib.setLastUpdated('201704130000Z') if mibBuilder.loadTexts: docsRphyPtpMib.setOrganization('Cable Television Laboratories, Inc') if mibBuilder.loadTexts: docsRphyPtpMib.setContactInfo(' Postal: Cable Television Laboratories, Inc. 400 Centennial Parkway Louisville, Colorado 80027-1266 U.S.A. Phone: +1 303-661-9100 Fax: +1 303-661-9199 E-mail: mibs@cablelabs.com') if mibBuilder.loadTexts: docsRphyPtpMib.setDescription('This MIB module contains the status and reporting objects for the Remote PHY CCAP Core and RPD PTP management. Copyright 2017 Cable Television Laboratories, Inc. All rights reserved.') docsRphyPtpNotifications = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 0)) docsRphyPtpObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1)) docsRphyPtpConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 2)) docsRphyPtpRpdMibObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1)) docsRphyPtpCcapMibObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2)) docsRphyPtpCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 2, 1)) docsRphyPtpGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 2, 2)) docsRphyPtpCcapDefaultDataSet = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 1)) docsRphyPtpCcapDefaultDataSetTwoStepFlag = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 1, 1), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapDefaultDataSetTwoStepFlag.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapDefaultDataSetTwoStepFlag.setDescription('This attribute specifies whether the Two Step process is used (i.e., the clock is a two-step clock).') docsRphyPtpCcapDefaultDataSetClockIdentity = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 1, 2), OctetString().subtype(subtypeSpec=ValueSizeConstraint(8, 8)).setFixedLength(8)).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapDefaultDataSetClockIdentity.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapDefaultDataSetClockIdentity.setDescription('This attribute specifies the default Dataset clock identity.') docsRphyPtpCcapDefaultDataSetPriority1 = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 1, 3), Unsigned32()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapDefaultDataSetPriority1.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapDefaultDataSetPriority1.setDescription('This attribute specifies the default Dataset clock Priority1. Lower values take precedence.') docsRphyPtpCcapDefaultDataSetPriority2 = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 1, 4), Unsigned32()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapDefaultDataSetPriority2.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapDefaultDataSetPriority2.setDescription('This attribute specifies the default Dataset clock Priority2. Lower values take precedence.') docsRphyPtpCcapDefaultDataSetSlaveOnly = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 1, 5), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapDefaultDataSetSlaveOnly.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapDefaultDataSetSlaveOnly.setDescription('This attribute specifies whether the SlaveOnly flag is set.') docsRphyPtpCcapDefaultDataSetQualityClass = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 1, 6), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 255))).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapDefaultDataSetQualityClass.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapDefaultDataSetQualityClass.setDescription('This attribute of an ordinary or boundary clock denotes the traceability of the time or frequency distributed by the grandmaster clock. See section 7.6.2.4 in [IEEE 1588].') docsRphyPtpCcapDefaultDataSetQualityAccuracy = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 1, 7), Unsigned32()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapDefaultDataSetQualityAccuracy.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapDefaultDataSetQualityAccuracy.setDescription('This attribute characterizes a clock for the purpose of the best master clock (BMC) algorithm. See section 7.6.2.5 in [IEEE 1588].') docsRphyPtpCcapDefaultDataSetQualityOffset = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 1, 8), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapDefaultDataSetQualityOffset.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapDefaultDataSetQualityOffset.setDescription('This attribute is the offset, scaled, logarithmic representation of the clock variance. See Section 7.6.3.5 in [IEEE 1588].') docsRphyPtpCcapCurrentDataSet = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 2)) docsRphyPtpCcapCurrentDataSetStepsRemoved = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 2, 1), Unsigned32()).setUnits('steps').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapCurrentDataSetStepsRemoved.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapCurrentDataSetStepsRemoved.setDescription('This attribute is the number of communication paths traversed between the local clock and the grandmaster clock. The initialization value is 0.') docsRphyPtpCcapCurrentDataSetOffsetFromMaster = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 2, 2), Integer32()).setUnits('Nanoseconds').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapCurrentDataSetOffsetFromMaster.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapCurrentDataSetOffsetFromMaster.setDescription('This attribute is an implementation-specific representation of the current value of the time difference between a master and a slave as computed by the slave.') docsRphyPtpCcapCurrentDataSetMeanPathDelay = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 2, 3), Unsigned32()).setUnits('Nanoseconds').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapCurrentDataSetMeanPathDelay.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapCurrentDataSetMeanPathDelay.setDescription('This attribute is an implementation-specific representation of the current value of the mean propagation time between a master and slave clock as computed by the slave. Zero means that the path delay is unavailable.') docsRphyPtpCcapParentDataSet = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 3)) docsRphyPtpCcapParentDataSetParentClockId = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 3, 1), OctetString().subtype(subtypeSpec=ValueSizeConstraint(8, 8)).setFixedLength(8)).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetParentClockId.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetParentClockId.setDescription('This attribute is the clock identifier of the clock port on the master that issues the Sync messages used in synchronizing this clock.') docsRphyPtpCcapParentDataSetParentPortNumber = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 3, 2), Unsigned32()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetParentPortNumber.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetParentPortNumber.setDescription('This attribute is the port number of the clock port on the master that issues the Sync messages used in synchronizing this clock.') docsRphyPtpCcapParentDataSetParentStats = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 3, 3), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetParentStats.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetParentStats.setDescription('This attribute is set to True if the clock has a port in the slave state and the clock has computed statistically valid estimates of the ClockOffset Scaled Log Variance and the Clock PhaseChangeRate. If either the ClockOffset Scaled Log Variance or the Clock PhaseChangeRate is not computed, then the CCAP core MUST set the value of ParentStats to false.') docsRphyPtpCcapParentDataSetClockOffset = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 3, 4), Integer32()).setUnits('Nanoseconds').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetClockOffset.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetClockOffset.setDescription("This attribute represents the value of the observed Parent Offset Scaled Log Variance, which is an estimate of the parent clock's PTP variance as observed by the slave clock. The computation of this value is optional, but if not computed, the value of parentStats is FALSE. The initialization value of ClockOffset is 0xFFFF.") docsRphyPtpCcapParentDataSetPhaseChangeRate = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 3, 5), Integer32()).setUnits('Nanoseconds').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetPhaseChangeRate.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetPhaseChangeRate.setDescription("This attribute represents the value of Phase Change Rate, which is an estimate of the parent clock's phase change rate as observed by the slave clock. If the estimate exceeds the capacity of its data type, this value is set to 0x7FFF FFFF. A positive sign indicates that the parent clock's phase change rate is greater than the rate of the slave clock. The computation of this value is optional, but if not computed,the value of parentStats is FALSE.") docsRphyPtpCcapParentDataSetGmClockIdentity = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 3, 6), OctetString().subtype(subtypeSpec=ValueSizeConstraint(8, 8)).setFixedLength(8)).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetGmClockIdentity.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetGmClockIdentity.setDescription('This attribute represents the clock Identity of the grandmaster clock.') docsRphyPtpCcapParentDataSetGmPriority1 = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 3, 7), Unsigned32()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetGmPriority1.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetGmPriority1.setDescription('This attribute represents the priority1 of the grandmaster clock. Lower values take precedence.') docsRphyPtpCcapParentDataSetGmPriority2 = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 3, 8), Unsigned32()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetGmPriority2.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetGmPriority2.setDescription('This attribute represents the priority2 of the grandmaster clock. Lower values take precedence.') docsRphyPtpCcapParentDataSetGmQualityClass = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 3, 9), Unsigned32()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetGmQualityClass.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetGmQualityClass.setDescription('This attribute is the clock class for the grandmaster clock. The clock class attribute of an ordinary or boundary clock denotes the traceability of the time or frequency distributed by the grandmaster clock. See section 7.6.2.4 in [IEEE 1588].') docsRphyPtpCcapParentDataSetGmQualityAccuracy = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 3, 10), Unsigned32()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetGmQualityAccuracy.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetGmQualityAccuracy.setDescription('This attribute characterizes the grandmaster clock for the purpose of the best master clock (BMC) algorithm. See section 7.6.2.5 in [IEEE 1588].') docsRphyPtpCcapParentDataSetGmQualityOffset = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 3, 11), Unsigned32()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetGmQualityOffset.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapParentDataSetGmQualityOffset.setDescription('This attribute represents the offset, scaled, logarithmic representation of the grandmaster clock variance. See Section 7.6.3.5 in [IEEE 1588].') docsRphyPtpCcapTimeProperties = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 4)) docsRphyPtpCcapTimePropertiesCurrentUtcOffsetValid = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 4, 1), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapTimePropertiesCurrentUtcOffsetValid.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapTimePropertiesCurrentUtcOffsetValid.setDescription('This attribute represents the value of currentUtcOffsetValid is TRUE if the currentUtcOffset is known to be correct.') docsRphyPtpCcapTimePropertiesCurrentUtcOffset = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 4, 2), Integer32()).setUnits('Seconds').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapTimePropertiesCurrentUtcOffset.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapTimePropertiesCurrentUtcOffset.setDescription('This attribute represents the offset between International Atomic Time (TAI) and Universal Coordinated Time (UTC).') docsRphyPtpCcapTimePropertiesLeap59 = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 4, 3), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapTimePropertiesLeap59.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapTimePropertiesLeap59.setDescription('This attribute represents whether or not there are 59 seconds in the last minute of the current UTC day for PTP systems whose epoch is the PTP epoch,; a TRUE value for Leap59 indicates that the last minute of the current UTC day contains 59 seconds.') docsRphyPtpCcapTimePropertiesLeap61 = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 4, 4), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapTimePropertiesLeap61.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapTimePropertiesLeap61.setDescription('This attribute represents whether or not there are 61 seconds in the last minute of the current UTC day for PTP systems whose epoch is the PTP epoch; a TRUE value for Leap61 indicates that the last minute of the current UTC day contains 61 seconds.') docsRphyPtpCcapTimePropertiesTimeTraceable = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 4, 5), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapTimePropertiesTimeTraceable.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapTimePropertiesTimeTraceable.setDescription('This attribute represents whether the timescale and the value of currentUtcOffset are traceable to a primary reference. TimeTraceable is TRUE if the timescale and the value of currentUtcOffset are traceable to a primary reference; otherwise, the value is FALSE.') docsRphyPtpCcapTimePropertiesFreqTraceable = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 4, 6), TruthValue().clone('true')).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapTimePropertiesFreqTraceable.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapTimePropertiesFreqTraceable.setDescription('This attribute represents whether the frequency determining the timescale is traceable to a primary reference. The value of FrequencyTraceable is TRUE if the frequency determining the timescale is traceable to a primary reference; otherwise, the value is FALSE.') docsRphyPtpCcapTimePropertiesPtpTimescale = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 4, 7), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapTimePropertiesPtpTimescale.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapTimePropertiesPtpTimescale.setDescription('This attribute is always true for grandmaster clocks with a clock timescale of PTP.') docsRphyPtpCcapTimePropertiesTimeSource = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 4, 8), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 255))).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapTimePropertiesTimeSource.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapTimePropertiesTimeSource.setDescription('This attribute represents the source of time used by the grandmaster clock. See Table 7 in [IEEE 1588]. If the time source of the grandmaster clock is unknown, the CCAP Core MUST set the TimeSource value to INTERNAL_OSCILLATOR (0xA0).') docsRphyPtpCcapPortDataSetTable = MibTable((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 5), ) if mibBuilder.loadTexts: docsRphyPtpCcapPortDataSetTable.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapPortDataSetTable.setDescription('See section 8.2.5 in [IEEE 1588] for details of the 1588 port dataset.') docsRphyPtpCcapPortDataSetEntry = MibTableRow((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 5, 1), ).setIndexNames((0, "DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapPortDataSetPortNumber")) if mibBuilder.loadTexts: docsRphyPtpCcapPortDataSetEntry.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapPortDataSetEntry.setDescription('The conceptual row of docsRphyPtpCcapPortDataSetTable.') docsRphyPtpCcapPortDataSetPortNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 5, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))) if mibBuilder.loadTexts: docsRphyPtpCcapPortDataSetPortNumber.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapPortDataSetPortNumber.setDescription('This key attribute is the port number of the local clock port. Port numbers 0 and 65,535 are reserved and cannot be used for real clock ports. See [IEEE 1588] for more information. When a PTP clock has N ports, the CCAP Core MUST set the port number to a value in the interval 1..N.') docsRphyPtpCcapPortDataSetPortState = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 5, 1, 2), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 255))).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapPortDataSetPortState.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapPortDataSetPortState.setDescription('This attribute is the state of this PTP clock port. See Table 8 in [IEEE 1588].') docsRphyPtpCcapPortDataSetMeanPathDelay = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 5, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapPortDataSetMeanPathDelay.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapPortDataSetMeanPathDelay.setDescription('This attribute is an implementation-specific representation of the current value of the mean propagation time between a master and slave clock as computed by the slave. Zero means that the path delay is unavailable.') docsRphyPtpCcapClockStatus = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 6)) docsRphyPtpCcapClockStatusClockState = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 6, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("freerun", 1), ("holdover", 2), ("acquiring", 3), ("freqLocked", 4), ("phaseAligned", 5)))).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapClockStatusClockState.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapClockStatusClockState.setDescription('This attribute represents the current state of the clock.') docsRphyPtpCcapClockStatusLastStateChange = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 6, 2), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapClockStatusLastStateChange.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapClockStatusLastStateChange.setDescription('This attribute represents the value in TimeTicks when the clock state last changed.') docsRphyPtpCcapClockStatusPacketsSent = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 6, 3), Counter64()).setUnits('Packets').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapClockStatusPacketsSent.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapClockStatusPacketsSent.setDescription('This attribute represents the number of PTP packets sent for this clock.') docsRphyPtpCcapClockStatusPacketsReceived = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 6, 4), Counter64()).setUnits('Packets').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapClockStatusPacketsReceived.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapClockStatusPacketsReceived.setDescription('This attribute represents the number of PTP packets received for this clock.') docsRphyPtpCcapClockStatusComputedPhaseOffset = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 6, 5), Unsigned32()).setUnits('Nanoseconds').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapClockStatusComputedPhaseOffset.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapClockStatusComputedPhaseOffset.setDescription('This attribute specifies the phase offset that the locking algorithm computed in the last 60 sec interval. 0xFFFFFFFF means offset unknown.') docsRphyPtpCcapClockStatusCounterDiscontinuityTime = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 6, 6), TimeStamp()).setUnits('TimeTicks').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapClockStatusCounterDiscontinuityTime.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapClockStatusCounterDiscontinuityTime.setDescription("This attribute represents the value of sysUpTime on the most recent occasion at which any one or more of this interface's counters suffered a discontinuity. If no such discontinuities have occurred since the last re-initialization of the local management subsystem, then this object contains a zero value.") docsRphyPtpCcapCorePtpPortStatusTable = MibTable((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 7), ) if mibBuilder.loadTexts: docsRphyPtpCcapCorePtpPortStatusTable.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapCorePtpPortStatusTable.setDescription('CorePtpCoreStatus is an instantiation of the abstract class PtpPortStatus and inherits those common attributes') docsRphyPtpCcapCorePtpPortStatusEntry = MibTableRow((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 7, 1), ).setIndexNames((0, "DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapCorePtpPortStatusPortNumber")) if mibBuilder.loadTexts: docsRphyPtpCcapCorePtpPortStatusEntry.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapCorePtpPortStatusEntry.setDescription('The conceptual row of docsRphyPtpCcapCorePtpPortStatusTable .') docsRphyPtpCcapCorePtpPortStatusPortNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 7, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 255))) if mibBuilder.loadTexts: docsRphyPtpCcapCorePtpPortStatusPortNumber.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapCorePtpPortStatusPortNumber.setDescription('This key attribute is the port number of the local clock port.') docsRphyPtpCcapCorePtpPortStatusPacketsSent = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 7, 1, 2), Counter64()).setUnits('Packets').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapCorePtpPortStatusPacketsSent.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapCorePtpPortStatusPacketsSent.setDescription('This attribute represents the number of PTP packets sent for this clock port.') docsRphyPtpCcapCorePtpPortStatusPacketsReceived = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 7, 1, 3), Counter64()).setUnits('Packets').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapCorePtpPortStatusPacketsReceived.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapCorePtpPortStatusPacketsReceived.setDescription('This attribute represents the number of PTP packets received for this clock port.') docsRphyPtpCcapCorePtpPortStatusCounterDiscontinuityTime = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 7, 1, 4), TimeStamp()).setUnits('TimeTicks').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapCorePtpPortStatusCounterDiscontinuityTime.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapCorePtpPortStatusCounterDiscontinuityTime.setDescription("This attribute represents the value of sysUpTime on the most recent occasion at which any one or more of this interface's counters suffered a discontinuity. If no such discontinuities have occurred since the last re-initialization of the local management subsystem, then this object contains a zero value.") docsRphyPtpCcapPortMasterClockStatusTable = MibTable((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 8), ) if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusTable.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusTable.setDescription('This table contains Port MasterClock Status attributes.') docsRphyPtpCcapPortMasterClockStatusEntry = MibTableRow((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 8, 1), ).setIndexNames((0, "DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapCorePtpPortStatusPortNumber"), (0, "DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapPortMasterClockStatusMasterPriority")) if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusEntry.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusEntry.setDescription('The conceptual row of docsRphyPtpCcapPortMasterClockStatusTable.') docsRphyPtpCcapPortMasterClockStatusMasterPriority = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 8, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 5))) if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusMasterPriority.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusMasterPriority.setDescription('This key attribute is the priority of the master clock configured for the PTP template assigned to this PTP clock port. Low numbers are higher priority.') docsRphyPtpCcapPortMasterClockStatusPacketsSent = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 8, 1, 2), Counter64()).setUnits('Packets').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusPacketsSent.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusPacketsSent.setDescription('This attribute represents the number of PTP packets sent to this master for this slave clock port.') docsRphyPtpCcapPortMasterClockStatusPacketsReceived = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 8, 1, 3), Counter64()).setUnits('Packets').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusPacketsReceived.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusPacketsReceived.setDescription('This attribute represents the number of PTP packets received from this master for this slave clock port.') docsRphyPtpCcapPortMasterClockStatusMasterClockId = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 8, 1, 4), OctetString().subtype(subtypeSpec=ValueSizeConstraint(8, 8)).setFixedLength(8)).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusMasterClockId.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusMasterClockId.setDescription('This attribute specifies the clock identifier of this master clock.') docsRphyPtpCcapPortMasterClockStatusMasterClockPortNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 8, 1, 5), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusMasterClockPortNumber.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusMasterClockPortNumber.setDescription("This attribute specifies master clock's port number.") docsRphyPtpCcapPortMasterClockStatusTwoStepFlag = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 8, 1, 6), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusTwoStepFlag.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusTwoStepFlag.setDescription('This attribute specifies whether the Two Step process is used (i.e., the clock is a two-step clock).') docsRphyPtpCcapPortMasterClockStatusIsBmc = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 8, 1, 7), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusIsBmc.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusIsBmc.setDescription('This attribute represents whether or not this master is the current Best Master Clock (i.e., the master clock currently in use for this slave clock).') docsRphyPtpCcapPortMasterClockStatusIsMasterConnected = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 8, 1, 8), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusIsMasterConnected.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusIsMasterConnected.setDescription('This attribute is set to TRUE if a signaling session with the master is successfully established. When a slave node receives an announce and a sync message from the master, the CCAP Core SHOULD consider the session to be successfully established.') docsRphyPtpCcapPortMasterClockStatusStatusDomain = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 8, 1, 9), Unsigned32()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusStatusDomain.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusStatusDomain.setDescription('This attribute is the PTP master domain.') docsRphyPtpCcapPortMasterClockStatusFreqOffset = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 8, 1, 10), Unsigned32()).setUnits('PPM').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusFreqOffset.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusFreqOffset.setDescription('This attribute specifies the frequency offset that the locking algorithm computed per master in the last 60 sec interval. 0xFFFFFFFF means offset unknown.') docsRphyPtpCcapPortMasterClockStatusCounterDiscontinuityTime = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 2, 8, 1, 11), TimeStamp()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusCounterDiscontinuityTime.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapPortMasterClockStatusCounterDiscontinuityTime.setDescription("This attribute contains the value of sysUpTime on the most recent occasion at which any one or more of this interface's counters suffered a discontinuity. If no such discontinuities have occurred since the last re-initialization of the local management subsystem, then this object contains a zero value.") docsRphyPtpRpdCurrentDataSetTable = MibTable((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 1), ) if mibBuilder.loadTexts: docsRphyPtpRpdCurrentDataSetTable.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdCurrentDataSetTable.setDescription('See section 8.2.5 in [IEEE 1588] for details of the 1588 port dataset.') docsRphyPtpRpdCurrentDataSetEntry = MibTableRow((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 1, 1), ).setIndexNames((0, "DOCS-RPHY-MIB", "docsRphyRpdDevInfoUniqueId")) if mibBuilder.loadTexts: docsRphyPtpRpdCurrentDataSetEntry.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdCurrentDataSetEntry.setDescription('The conceptual row of docsRphyPtpRpdCurrentDataSetTable.') docsRphyPtpRpdCurrentDataSetStepsRemoved = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 1, 1, 1), Unsigned32()).setUnits('steps').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdCurrentDataSetStepsRemoved.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdCurrentDataSetStepsRemoved.setDescription('This attribute is the number of communication paths traversed between the local clock and the grandmaster clock. The initialization value is 0.') docsRphyPtpRpdCurrentDataSetOffsetFromMaster = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 1, 1, 2), Integer32()).setUnits('Nanoseconds').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdCurrentDataSetOffsetFromMaster.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdCurrentDataSetOffsetFromMaster.setDescription('This attribute is an implementation-specific representation of the current value of the time difference between a master and a slave as computed by the slave.') docsRphyPtpRpdCurrentDataSetMeanPathDelay = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 1, 1, 3), Unsigned32()).setUnits('Nanoseconds').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdCurrentDataSetMeanPathDelay.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdCurrentDataSetMeanPathDelay.setDescription('This attribute is an implementation-specific representation of the current value of the mean propagation time between a master and slave clock as computed by the slave. Zero means that the path delay is unavailable.') docsRphyPtpRpdClockStatusTable = MibTable((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 2), ) if mibBuilder.loadTexts: docsRphyPtpRpdClockStatusTable.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdClockStatusTable.setDescription('See section 8.2.5 in [IEEE 1588] for details of the 1588 port dataset.') docsRphyPtpRpdClockStatusEntry = MibTableRow((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 2, 1), ).setIndexNames((0, "DOCS-RPHY-MIB", "docsRphyRpdDevInfoUniqueId")) if mibBuilder.loadTexts: docsRphyPtpRpdClockStatusEntry.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdClockStatusEntry.setDescription('The conceptual row of docsRphyPtpRpdClockStatusTable.') docsRphyPtpRpdClockStatusClockState = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 2, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("freerun", 1), ("holdover", 2), ("acquiring", 3), ("freqLocked", 4), ("phaseAligned", 5)))).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdClockStatusClockState.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdClockStatusClockState.setDescription('This attribute represents the current state of the clock.') docsRphyPtpRpdClockStatusLastStateChange = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 2, 1, 2), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdClockStatusLastStateChange.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdClockStatusLastStateChange.setDescription('This attribute represents the value in TimeTicks when the clock state last changed.') docsRphyPtpRpdClockStatusPacketsSent = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 2, 1, 3), Counter64()).setUnits('Packets').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdClockStatusPacketsSent.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdClockStatusPacketsSent.setDescription('This attribute represents the number of PTP packets sent for this clock.') docsRphyPtpRpdClockStatusPacketsReceived = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 2, 1, 4), Counter64()).setUnits('Packets').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdClockStatusPacketsReceived.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdClockStatusPacketsReceived.setDescription('This attribute represents the number of PTP packets received for this clock.') docsRphyPtpRpdClockStatusComputedPhaseOffset = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 2, 1, 5), Unsigned32()).setUnits('Nanoseconds').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdClockStatusComputedPhaseOffset.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdClockStatusComputedPhaseOffset.setDescription('This attribute specifies the phase offset that the locking algorithm computed in the last 60 sec interval. 0xFFFFFFFF means offset unknown.') docsRphyPtpRpdClockStatusCounterDiscontinuityTime = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 2, 1, 6), TimeStamp()).setUnits('TimeTicks').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdClockStatusCounterDiscontinuityTime.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdClockStatusCounterDiscontinuityTime.setDescription("This attribute represents the value of sysUpTime on the most recent occasion at which any one or more of this interface's counters suffered a discontinuity. If no such discontinuities have occurred since the last re-initialization of the local management subsystem, then this object contains a zero value.") docsRphyPtpRpdPortDataSetTable = MibTable((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 3), ) if mibBuilder.loadTexts: docsRphyPtpRpdPortDataSetTable.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPortDataSetTable.setDescription('See section 8.2.5 in [IEEE 1588] for details of the 1588 port dataset.') docsRphyPtpRpdPortDataSetEntry = MibTableRow((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 3, 1), ).setIndexNames((0, "DOCS-RPHY-MIB", "docsRphyRpdDevInfoUniqueId"), (0, "DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPortDataSetPortNumber")) if mibBuilder.loadTexts: docsRphyPtpRpdPortDataSetEntry.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPortDataSetEntry.setDescription('The conceptual row of docsRphyPtpRpdPortDataSetTable.') docsRphyPtpRpdPortDataSetPortNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 3, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))) if mibBuilder.loadTexts: docsRphyPtpRpdPortDataSetPortNumber.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPortDataSetPortNumber.setDescription('This key attribute is the port number of the local clock port. Port numbers 0 and 65,535 are reserved and cannot be used for real clock ports. See [IEEE 1588] for more information. When a PTP clock has N ports, the CCAP Core MUST set the port number to a value in the interval 1..N.') docsRphyPtpRpdPortDataSetPortState = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 3, 1, 2), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 255))).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdPortDataSetPortState.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPortDataSetPortState.setDescription('This attribute is the state of this PTP clock port. See Table 8 in [IEEE 1588].') docsRphyPtpRpdPortDataSetMeanPathDelay = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 3, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdPortDataSetMeanPathDelay.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPortDataSetMeanPathDelay.setDescription('This attribute is an implementation-specific representation of the current value of the mean propagation time between a master and slave clock as computed by the slave. Zero means that the path delay is unavailable.') docsRphyPtpRpdPtpPortStatusTable = MibTable((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 4), ) if mibBuilder.loadTexts: docsRphyPtpRpdPtpPortStatusTable.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPtpPortStatusTable.setDescription('Port Ptp Status is an instantiation of the abstract class PtpPortStatus and inherits those common attributes') docsRphyPtpRpdPtpPortStatusEntry = MibTableRow((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 4, 1), ).setIndexNames((0, "DOCS-RPHY-MIB", "docsRphyRpdDevInfoUniqueId"), (0, "DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPtpPortStatusPortNumber"), (0, "DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPtpPortStatusRpdEnetPortIndex"), (0, "DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPtpPortStatusRpdPtpPortIndex")) if mibBuilder.loadTexts: docsRphyPtpRpdPtpPortStatusEntry.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPtpPortStatusEntry.setDescription('The conceptual row of docsRphyPtpRpdCorePtpPortStatusTable .') docsRphyPtpRpdPtpPortStatusPortNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 4, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 255))) if mibBuilder.loadTexts: docsRphyPtpRpdPtpPortStatusPortNumber.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPtpPortStatusPortNumber.setDescription('This key attribute is the port number of the local clock port.') docsRphyPtpRpdPtpPortStatusRpdEnetPortIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 4, 1, 2), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 255))) if mibBuilder.loadTexts: docsRphyPtpRpdPtpPortStatusRpdEnetPortIndex.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPtpPortStatusRpdEnetPortIndex.setDescription('This key attribute is the port number of the local clock port.') docsRphyPtpRpdPtpPortStatusRpdPtpPortIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 4, 1, 3), Unsigned32()) if mibBuilder.loadTexts: docsRphyPtpRpdPtpPortStatusRpdPtpPortIndex.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPtpPortStatusRpdPtpPortIndex.setDescription('This key attribute is the port number of the local clock port.') docsRphyPtpRpdPtpPortStatusPacketsSent = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 4, 1, 4), Counter64()).setUnits('Packets').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdPtpPortStatusPacketsSent.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPtpPortStatusPacketsSent.setDescription('This attribute represents the number of PTP packets sent for this clock port.') docsRphyPtpRpdPtpPortStatusPacketsReceived = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 4, 1, 5), Counter64()).setUnits('Packets').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdPtpPortStatusPacketsReceived.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPtpPortStatusPacketsReceived.setDescription('This attribute represents the number of PTP packets received for this clock port.') docsRphyPtpRpdPtpPortStatusCounterDiscontinuityTime = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 4, 1, 6), TimeStamp()).setUnits('TimeTicks').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdPtpPortStatusCounterDiscontinuityTime.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPtpPortStatusCounterDiscontinuityTime.setDescription("This attribute represents the value of sysUpTime on the most recent occasion at which any one or more of this interface's counters suffered a discontinuity. If no such discontinuities have occurred since the last re-initialization of the local management subsystem, then this object contains a zero value.") docsRphyPtpRpdPortMasterClockStatusTable = MibTable((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 5), ) if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusTable.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusTable.setDescription('This table contains Port MasterClock Status attributes.') docsRphyPtpRpdPortMasterClockStatusEntry = MibTableRow((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 5, 1), ).setIndexNames((0, "DOCS-RPHY-MIB", "docsRphyRpdDevInfoUniqueId"), (0, "DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPtpPortStatusRpdEnetPortIndex"), (0, "DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPtpPortStatusRpdPtpPortIndex"), (0, "DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPortMasterClockStatusMasterPriority")) if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusEntry.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusEntry.setDescription('The conceptual row of docsRphyPtpRpdPortMasterClockStatusTable.') docsRphyPtpRpdPortMasterClockStatusMasterPriority = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 5, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 5))) if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusMasterPriority.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusMasterPriority.setDescription('This key attribute is the priority of the master clock configured for the PTP template assigned to this PTP clock port. Low numbers are higher priority.') docsRphyPtpRpdPortMasterClockStatusPacketsSent = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 5, 1, 2), Counter64()).setUnits('Packets').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusPacketsSent.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusPacketsSent.setDescription('This attribute represents the number of PTP packets sent to this master for this slave clock port.') docsRphyPtpRpdPortMasterClockStatusPacketsReceived = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 5, 1, 3), Counter64()).setUnits('Packets').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusPacketsReceived.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusPacketsReceived.setDescription('This attribute represents the number of PTP packets received from this master for this slave clock port.') docsRphyPtpRpdPortMasterClockStatusMasterClockId = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 5, 1, 4), OctetString().subtype(subtypeSpec=ValueSizeConstraint(8, 8)).setFixedLength(8)).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusMasterClockId.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusMasterClockId.setDescription('This attribute specifies the clock identifier of this master clock.') docsRphyPtpRpdPortMasterClockStatusMasterClockPortNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 5, 1, 5), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusMasterClockPortNumber.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusMasterClockPortNumber.setDescription("This attribute specifies master clock's port number.") docsRphyPtpRpdPortMasterClockStatusTwoStepFlag = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 5, 1, 6), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusTwoStepFlag.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusTwoStepFlag.setDescription('This attribute specifies whether the Two Step process is used (i.e., the clock is a two-step clock).') docsRphyPtpRpdPortMasterClockStatusIsBmc = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 5, 1, 7), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusIsBmc.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusIsBmc.setDescription('This attribute represents whether or not this master is the current Best Master Clock (i.e., the master clock currently in use for this slave clock).') docsRphyPtpRpdPortMasterClockStatusIsMasterConnected = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 5, 1, 8), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusIsMasterConnected.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusIsMasterConnected.setDescription('This attribute is set to TRUE if a signaling session with the master is successfully established. When a slave node receives an announce and a sync message from the master, the CCAP Core SHOULD consider the session to be successfully established.') docsRphyPtpRpdPortMasterClockStatusStatusDomain = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 5, 1, 9), Unsigned32()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusStatusDomain.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusStatusDomain.setDescription('This attribute is the PTP master domain.') docsRphyPtpRpdPortMasterClockStatusFreqOffset = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 5, 1, 10), Unsigned32()).setUnits('PPM').setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusFreqOffset.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusFreqOffset.setDescription('This attribute specifies the frequency offset that the locking algorithm computed per master in the last 60 sec interval. 0xFFFFFFFF means offset unknown.') docsRphyPtpRpdPortMasterClockStatusCounterDiscontinuityTime = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 1, 1, 5, 1, 11), TimeStamp()).setMaxAccess("readonly") if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusCounterDiscontinuityTime.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdPortMasterClockStatusCounterDiscontinuityTime.setDescription("This attribute contains the value of sysUpTime on the most recent occasion at which any one or more of this interface's counters suffered a discontinuity. If no such discontinuities have occurred since the last re-initialization of the local management subsystem, then this object contains a zero value.") docsRphyPtpCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 2, 1, 1)).setObjects(("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdGroup"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapCoreGroup")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): docsRphyPtpCompliance = docsRphyPtpCompliance.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCompliance.setDescription('The compliance statement for CCAP Core and RPD PTP features.') docsRphyPtpRpdGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 2, 2, 1)).setObjects(("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdCurrentDataSetStepsRemoved"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdCurrentDataSetOffsetFromMaster"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdCurrentDataSetMeanPathDelay"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdClockStatusClockState"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdClockStatusLastStateChange"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdClockStatusPacketsSent"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdClockStatusPacketsReceived"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdClockStatusComputedPhaseOffset"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdClockStatusCounterDiscontinuityTime"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPortDataSetPortState"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPortDataSetMeanPathDelay"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPtpPortStatusPacketsSent"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPtpPortStatusPacketsReceived"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPtpPortStatusCounterDiscontinuityTime"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPortMasterClockStatusPacketsSent"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPortMasterClockStatusPacketsReceived"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPortMasterClockStatusMasterClockId"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPortMasterClockStatusMasterClockPortNumber"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPortMasterClockStatusTwoStepFlag"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPortMasterClockStatusIsBmc"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPortMasterClockStatusIsMasterConnected"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPortMasterClockStatusStatusDomain"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPortMasterClockStatusFreqOffset"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpRpdPortMasterClockStatusCounterDiscontinuityTime")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): docsRphyPtpRpdGroup = docsRphyPtpRpdGroup.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpRpdGroup.setDescription('Group of objects implemented in CCAP Cores which represent RPD managed objects derived via the GCP protocol.') docsRphyPtpCcapCoreGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 4491, 2, 1, 32, 2, 2, 2)).setObjects(("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapDefaultDataSetTwoStepFlag"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapDefaultDataSetClockIdentity"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapDefaultDataSetPriority1"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapDefaultDataSetPriority2"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapDefaultDataSetSlaveOnly"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapDefaultDataSetQualityClass"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapDefaultDataSetQualityAccuracy"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapDefaultDataSetQualityOffset"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapCurrentDataSetStepsRemoved"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapCurrentDataSetOffsetFromMaster"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapCurrentDataSetMeanPathDelay"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapParentDataSetParentClockId"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapParentDataSetParentPortNumber"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapParentDataSetParentStats"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapParentDataSetClockOffset"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapParentDataSetPhaseChangeRate"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapParentDataSetGmClockIdentity"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapParentDataSetGmPriority1"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapParentDataSetGmPriority2"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapParentDataSetGmQualityClass"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapParentDataSetGmQualityAccuracy"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapParentDataSetGmQualityOffset"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapTimePropertiesCurrentUtcOffsetValid"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapTimePropertiesCurrentUtcOffset"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapTimePropertiesLeap59"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapTimePropertiesLeap61"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapTimePropertiesTimeTraceable"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapTimePropertiesFreqTraceable"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapTimePropertiesPtpTimescale"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapTimePropertiesTimeSource"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapPortDataSetPortState"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapPortDataSetMeanPathDelay"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapClockStatusClockState"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapClockStatusLastStateChange"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapClockStatusPacketsSent"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapClockStatusPacketsReceived"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapClockStatusComputedPhaseOffset"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapClockStatusCounterDiscontinuityTime"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapCorePtpPortStatusPacketsSent"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapCorePtpPortStatusPacketsReceived"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapCorePtpPortStatusCounterDiscontinuityTime"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapPortMasterClockStatusPacketsSent"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapPortMasterClockStatusPacketsReceived"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapPortMasterClockStatusMasterClockId"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapPortMasterClockStatusMasterClockPortNumber"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapPortMasterClockStatusTwoStepFlag"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapPortMasterClockStatusIsBmc"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapPortMasterClockStatusIsMasterConnected"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapPortMasterClockStatusStatusDomain"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapPortMasterClockStatusFreqOffset"), ("DOCS-RPHY-PTP-MIB", "docsRphyPtpCcapPortMasterClockStatusCounterDiscontinuityTime")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): docsRphyPtpCcapCoreGroup = docsRphyPtpCcapCoreGroup.setStatus('current') if mibBuilder.loadTexts: docsRphyPtpCcapCoreGroup.setDescription('Group of objects implemented in CCAP Cores.') mibBuilder.exportSymbols("DOCS-RPHY-PTP-MIB", docsRphyPtpCcapCurrentDataSetStepsRemoved=docsRphyPtpCcapCurrentDataSetStepsRemoved, docsRphyPtpCcapPortMasterClockStatusTwoStepFlag=docsRphyPtpCcapPortMasterClockStatusTwoStepFlag, docsRphyPtpRpdPortMasterClockStatusMasterPriority=docsRphyPtpRpdPortMasterClockStatusMasterPriority, docsRphyPtpRpdMibObjects=docsRphyPtpRpdMibObjects, docsRphyPtpCcapDefaultDataSetQualityAccuracy=docsRphyPtpCcapDefaultDataSetQualityAccuracy, docsRphyPtpCompliances=docsRphyPtpCompliances, docsRphyPtpCcapClockStatusLastStateChange=docsRphyPtpCcapClockStatusLastStateChange, docsRphyPtpRpdCurrentDataSetMeanPathDelay=docsRphyPtpRpdCurrentDataSetMeanPathDelay, docsRphyPtpCcapParentDataSetGmPriority2=docsRphyPtpCcapParentDataSetGmPriority2, docsRphyPtpRpdPortMasterClockStatusStatusDomain=docsRphyPtpRpdPortMasterClockStatusStatusDomain, docsRphyPtpCcapTimePropertiesLeap59=docsRphyPtpCcapTimePropertiesLeap59, docsRphyPtpCcapTimePropertiesLeap61=docsRphyPtpCcapTimePropertiesLeap61, docsRphyPtpCcapClockStatus=docsRphyPtpCcapClockStatus, docsRphyPtpRpdPtpPortStatusRpdEnetPortIndex=docsRphyPtpRpdPtpPortStatusRpdEnetPortIndex, docsRphyPtpCcapClockStatusComputedPhaseOffset=docsRphyPtpCcapClockStatusComputedPhaseOffset, docsRphyPtpConformance=docsRphyPtpConformance, docsRphyPtpCcapCorePtpPortStatusPortNumber=docsRphyPtpCcapCorePtpPortStatusPortNumber, docsRphyPtpCcapCurrentDataSetOffsetFromMaster=docsRphyPtpCcapCurrentDataSetOffsetFromMaster, docsRphyPtpCcapCorePtpPortStatusCounterDiscontinuityTime=docsRphyPtpCcapCorePtpPortStatusCounterDiscontinuityTime, docsRphyPtpCcapParentDataSetParentStats=docsRphyPtpCcapParentDataSetParentStats, docsRphyPtpObjects=docsRphyPtpObjects, docsRphyPtpCcapDefaultDataSetQualityClass=docsRphyPtpCcapDefaultDataSetQualityClass, docsRphyPtpCcapDefaultDataSetQualityOffset=docsRphyPtpCcapDefaultDataSetQualityOffset, docsRphyPtpRpdPtpPortStatusPortNumber=docsRphyPtpRpdPtpPortStatusPortNumber, docsRphyPtpRpdPortMasterClockStatusTable=docsRphyPtpRpdPortMasterClockStatusTable, docsRphyPtpRpdPtpPortStatusRpdPtpPortIndex=docsRphyPtpRpdPtpPortStatusRpdPtpPortIndex, docsRphyPtpRpdClockStatusClockState=docsRphyPtpRpdClockStatusClockState, docsRphyPtpCcapPortMasterClockStatusMasterPriority=docsRphyPtpCcapPortMasterClockStatusMasterPriority, docsRphyPtpRpdPtpPortStatusPacketsReceived=docsRphyPtpRpdPtpPortStatusPacketsReceived, docsRphyPtpCcapPortMasterClockStatusFreqOffset=docsRphyPtpCcapPortMasterClockStatusFreqOffset, docsRphyPtpRpdCurrentDataSetOffsetFromMaster=docsRphyPtpRpdCurrentDataSetOffsetFromMaster, docsRphyPtpCcapPortMasterClockStatusIsMasterConnected=docsRphyPtpCcapPortMasterClockStatusIsMasterConnected, docsRphyPtpRpdClockStatusPacketsReceived=docsRphyPtpRpdClockStatusPacketsReceived, docsRphyPtpCcapParentDataSetClockOffset=docsRphyPtpCcapParentDataSetClockOffset, docsRphyPtpRpdPortMasterClockStatusIsBmc=docsRphyPtpRpdPortMasterClockStatusIsBmc, docsRphyPtpCompliance=docsRphyPtpCompliance, docsRphyPtpRpdPortDataSetPortNumber=docsRphyPtpRpdPortDataSetPortNumber, docsRphyPtpCcapParentDataSetParentClockId=docsRphyPtpCcapParentDataSetParentClockId, docsRphyPtpCcapClockStatusPacketsSent=docsRphyPtpCcapClockStatusPacketsSent, docsRphyPtpRpdClockStatusCounterDiscontinuityTime=docsRphyPtpRpdClockStatusCounterDiscontinuityTime, docsRphyPtpCcapPortMasterClockStatusIsBmc=docsRphyPtpCcapPortMasterClockStatusIsBmc, docsRphyPtpRpdClockStatusPacketsSent=docsRphyPtpRpdClockStatusPacketsSent, docsRphyPtpCcapParentDataSet=docsRphyPtpCcapParentDataSet, docsRphyPtpCcapCoreGroup=docsRphyPtpCcapCoreGroup, docsRphyPtpCcapPortDataSetTable=docsRphyPtpCcapPortDataSetTable, docsRphyPtpCcapTimePropertiesTimeSource=docsRphyPtpCcapTimePropertiesTimeSource, docsRphyPtpCcapCorePtpPortStatusPacketsReceived=docsRphyPtpCcapCorePtpPortStatusPacketsReceived, docsRphyPtpCcapParentDataSetParentPortNumber=docsRphyPtpCcapParentDataSetParentPortNumber, PYSNMP_MODULE_ID=docsRphyPtpMib, docsRphyPtpCcapTimePropertiesFreqTraceable=docsRphyPtpCcapTimePropertiesFreqTraceable, docsRphyPtpRpdPortMasterClockStatusMasterClockId=docsRphyPtpRpdPortMasterClockStatusMasterClockId, docsRphyPtpRpdClockStatusLastStateChange=docsRphyPtpRpdClockStatusLastStateChange, docsRphyPtpCcapPortMasterClockStatusPacketsSent=docsRphyPtpCcapPortMasterClockStatusPacketsSent, docsRphyPtpCcapDefaultDataSet=docsRphyPtpCcapDefaultDataSet, docsRphyPtpCcapPortMasterClockStatusMasterClockPortNumber=docsRphyPtpCcapPortMasterClockStatusMasterClockPortNumber, docsRphyPtpRpdPtpPortStatusCounterDiscontinuityTime=docsRphyPtpRpdPtpPortStatusCounterDiscontinuityTime, docsRphyPtpCcapDefaultDataSetPriority2=docsRphyPtpCcapDefaultDataSetPriority2, docsRphyPtpCcapPortMasterClockStatusTable=docsRphyPtpCcapPortMasterClockStatusTable, docsRphyPtpCcapCorePtpPortStatusEntry=docsRphyPtpCcapCorePtpPortStatusEntry, docsRphyPtpGroups=docsRphyPtpGroups, docsRphyPtpRpdPtpPortStatusTable=docsRphyPtpRpdPtpPortStatusTable, docsRphyPtpRpdPortMasterClockStatusFreqOffset=docsRphyPtpRpdPortMasterClockStatusFreqOffset, docsRphyPtpCcapCorePtpPortStatusPacketsSent=docsRphyPtpCcapCorePtpPortStatusPacketsSent, docsRphyPtpRpdPortDataSetEntry=docsRphyPtpRpdPortDataSetEntry, docsRphyPtpCcapPortMasterClockStatusPacketsReceived=docsRphyPtpCcapPortMasterClockStatusPacketsReceived, docsRphyPtpCcapCurrentDataSet=docsRphyPtpCcapCurrentDataSet, docsRphyPtpCcapDefaultDataSetTwoStepFlag=docsRphyPtpCcapDefaultDataSetTwoStepFlag, docsRphyPtpCcapMibObjects=docsRphyPtpCcapMibObjects, docsRphyPtpRpdPortMasterClockStatusTwoStepFlag=docsRphyPtpRpdPortMasterClockStatusTwoStepFlag, docsRphyPtpCcapParentDataSetGmQualityClass=docsRphyPtpCcapParentDataSetGmQualityClass, docsRphyPtpRpdClockStatusEntry=docsRphyPtpRpdClockStatusEntry, docsRphyPtpCcapCurrentDataSetMeanPathDelay=docsRphyPtpCcapCurrentDataSetMeanPathDelay, docsRphyPtpCcapClockStatusCounterDiscontinuityTime=docsRphyPtpCcapClockStatusCounterDiscontinuityTime, docsRphyPtpRpdPortDataSetPortState=docsRphyPtpRpdPortDataSetPortState, docsRphyPtpCcapParentDataSetGmPriority1=docsRphyPtpCcapParentDataSetGmPriority1, docsRphyPtpCcapTimeProperties=docsRphyPtpCcapTimeProperties, docsRphyPtpCcapParentDataSetGmQualityOffset=docsRphyPtpCcapParentDataSetGmQualityOffset, docsRphyPtpRpdCurrentDataSetEntry=docsRphyPtpRpdCurrentDataSetEntry, docsRphyPtpCcapParentDataSetGmClockIdentity=docsRphyPtpCcapParentDataSetGmClockIdentity, docsRphyPtpCcapPortDataSetMeanPathDelay=docsRphyPtpCcapPortDataSetMeanPathDelay, docsRphyPtpRpdPtpPortStatusEntry=docsRphyPtpRpdPtpPortStatusEntry, docsRphyPtpRpdPortDataSetMeanPathDelay=docsRphyPtpRpdPortDataSetMeanPathDelay, docsRphyPtpRpdPtpPortStatusPacketsSent=docsRphyPtpRpdPtpPortStatusPacketsSent, docsRphyPtpCcapTimePropertiesTimeTraceable=docsRphyPtpCcapTimePropertiesTimeTraceable, docsRphyPtpRpdCurrentDataSetTable=docsRphyPtpRpdCurrentDataSetTable, docsRphyPtpRpdPortMasterClockStatusIsMasterConnected=docsRphyPtpRpdPortMasterClockStatusIsMasterConnected, docsRphyPtpMib=docsRphyPtpMib, docsRphyPtpCcapPortMasterClockStatusMasterClockId=docsRphyPtpCcapPortMasterClockStatusMasterClockId, docsRphyPtpCcapPortMasterClockStatusEntry=docsRphyPtpCcapPortMasterClockStatusEntry, docsRphyPtpCcapClockStatusPacketsReceived=docsRphyPtpCcapClockStatusPacketsReceived, docsRphyPtpCcapTimePropertiesCurrentUtcOffset=docsRphyPtpCcapTimePropertiesCurrentUtcOffset, docsRphyPtpCcapPortDataSetPortState=docsRphyPtpCcapPortDataSetPortState, docsRphyPtpRpdPortMasterClockStatusMasterClockPortNumber=docsRphyPtpRpdPortMasterClockStatusMasterClockPortNumber, docsRphyPtpRpdCurrentDataSetStepsRemoved=docsRphyPtpRpdCurrentDataSetStepsRemoved, docsRphyPtpCcapTimePropertiesPtpTimescale=docsRphyPtpCcapTimePropertiesPtpTimescale, docsRphyPtpRpdClockStatusComputedPhaseOffset=docsRphyPtpRpdClockStatusComputedPhaseOffset, docsRphyPtpCcapParentDataSetGmQualityAccuracy=docsRphyPtpCcapParentDataSetGmQualityAccuracy, docsRphyPtpCcapTimePropertiesCurrentUtcOffsetValid=docsRphyPtpCcapTimePropertiesCurrentUtcOffsetValid, docsRphyPtpRpdPortDataSetTable=docsRphyPtpRpdPortDataSetTable, docsRphyPtpCcapDefaultDataSetPriority1=docsRphyPtpCcapDefaultDataSetPriority1, docsRphyPtpRpdPortMasterClockStatusEntry=docsRphyPtpRpdPortMasterClockStatusEntry, docsRphyPtpCcapParentDataSetPhaseChangeRate=docsRphyPtpCcapParentDataSetPhaseChangeRate, docsRphyPtpCcapCorePtpPortStatusTable=docsRphyPtpCcapCorePtpPortStatusTable, docsRphyPtpRpdPortMasterClockStatusPacketsReceived=docsRphyPtpRpdPortMasterClockStatusPacketsReceived, docsRphyPtpCcapDefaultDataSetClockIdentity=docsRphyPtpCcapDefaultDataSetClockIdentity, docsRphyPtpNotifications=docsRphyPtpNotifications, docsRphyPtpRpdPortMasterClockStatusPacketsSent=docsRphyPtpRpdPortMasterClockStatusPacketsSent, docsRphyPtpCcapClockStatusClockState=docsRphyPtpCcapClockStatusClockState, docsRphyPtpCcapPortMasterClockStatusCounterDiscontinuityTime=docsRphyPtpCcapPortMasterClockStatusCounterDiscontinuityTime, docsRphyPtpCcapPortDataSetEntry=docsRphyPtpCcapPortDataSetEntry, docsRphyPtpCcapPortDataSetPortNumber=docsRphyPtpCcapPortDataSetPortNumber, docsRphyPtpCcapPortMasterClockStatusStatusDomain=docsRphyPtpCcapPortMasterClockStatusStatusDomain, docsRphyPtpCcapDefaultDataSetSlaveOnly=docsRphyPtpCcapDefaultDataSetSlaveOnly, docsRphyPtpRpdPortMasterClockStatusCounterDiscontinuityTime=docsRphyPtpRpdPortMasterClockStatusCounterDiscontinuityTime, docsRphyPtpRpdGroup=docsRphyPtpRpdGroup, docsRphyPtpRpdClockStatusTable=docsRphyPtpRpdClockStatusTable)
191.923944
9,463
0.824857
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68,133
8.325481
0.084593
0.043988
0.076979
0.008185
0.458868
0.370429
0.356567
0.339662
0.306796
0.286777
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0.077672
68,133
354
9,464
192.466102
0.851578
0.004814
0
0.011594
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0.136232
0.325609
0.065166
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false
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0
0
0
0
0
0
0
2
e7cf7ba0b15891237f5fbb5ea5a2112c17fcf8a2
2,095
py
Python
nerds/test/test_crf_ner_model.py
elsevierlabs-os/nerds
9c4f32a51e3e08c802498dc88b5f6367c9d2df2d
[ "BSD-3-Clause" ]
19
2018-07-06T10:09:37.000Z
2020-11-27T18:14:42.000Z
nerds_orig/test/test_crf_ner_model.py
Banguiskode/nerds
366420b2ec57bf790562de62a79f4973cbd6b3ed
[ "BSD-3-Clause" ]
6
2018-12-28T12:14:12.000Z
2020-04-22T14:09:12.000Z
nerds/test/test_crf_ner_model.py
elsevierlabs-os/nerds
9c4f32a51e3e08c802498dc88b5f6367c9d2df2d
[ "BSD-3-Clause" ]
8
2018-07-14T16:50:28.000Z
2020-11-25T08:03:24.000Z
from nose.tools import assert_equal from nerds.core.model.input.annotation import Annotation from nerds.core.model.input.document import Document, AnnotatedDocument from nerds.core.model.ner.crf import CRF def test_crf(): content = b"The quick brown fox jumps over the lazy dog." annotations = [ Annotation("brown", "COLOR", (10, 14)), Annotation("fox", "ANIMAL", (16, 18)), Annotation("dog", "ANIMAL", (40, 42))] annotated_document = AnnotatedDocument(content, annotations=annotations) # Train. mod = CRF() mod.fit([annotated_document]) # Predict. Works! content = b"The quick brown fox." document = Document(content) ann = mod.transform([document]) # 2 annotations, brown and fox assert_equal(len(ann[0].annotations), 2) assert_equal(ann[0].annotations[0].text, "brown") assert_equal(ann[0].annotations[0].label, "COLOR") assert_equal(ann[0].annotations[0].offset, (10, 14)) assert_equal(ann[0].annotations[1].text, "fox") assert_equal(ann[0].annotations[1].label, "ANIMAL") assert_equal(ann[0].annotations[1].offset, (16, 18)) def test_crf_multi_term(): content = b"The dark brown fox jumps over the lazy dog magnificently." annotations = [ Annotation("dark brown", "COLOR", (4, 13)), Annotation("fox", "ANIMAL", (15, 17)), Annotation("dog", "ANIMAL", (40, 42))] annotated_document = AnnotatedDocument(content, annotations=annotations) # Train. mod = CRF() mod.fit([annotated_document]) # Predict. Works! content = b"The dark brown fox." document = Document(content) ann = mod.transform([document]) # 2 annotations, dark brown and fox assert_equal(len(ann[0].annotations), 2) assert_equal(ann[0].annotations[0].text, "dark brown") assert_equal(ann[0].annotations[0].offset, (4, 13)) assert_equal(ann[0].annotations[0].label, "COLOR") assert_equal(ann[0].annotations[1].text, "fox") assert_equal(ann[0].annotations[1].offset, (15, 17)) assert_equal(ann[0].annotations[1].label, "ANIMAL")
33.790323
76
0.666826
277
2,095
4.960289
0.216607
0.120087
0.152838
0.131004
0.772926
0.739447
0.710335
0.606259
0.570597
0.570597
0
0.039558
0.179475
2,095
61
77
34.344262
0.759744
0.051551
0
0.52381
0
0
0.123232
0
0
0
0
0
0.357143
1
0.047619
false
0
0.095238
0
0.142857
0
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null
0
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1
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0
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0
0
0
0
0
0
0
0
0
2
e7d469a2b915f57d7024559e17cd3d524efd509a
144
py
Python
config.sample.py
talyguryn/watcher
dc491179f544ec7a120f82b19a67f69a6bed39bc
[ "MIT" ]
null
null
null
config.sample.py
talyguryn/watcher
dc491179f544ec7a120f82b19a67f69a6bed39bc
[ "MIT" ]
null
null
null
config.sample.py
talyguryn/watcher
dc491179f544ec7a120f82b19a67f69a6bed39bc
[ "MIT" ]
1
2019-05-24T19:41:47.000Z
2019-05-24T19:41:47.000Z
# Domains list DOMAINS = [ { 'url': 'https://ifmo.su', 'message': '@guryn' } ] # Notifications link from https://t.me/wbhkbot WEBHOOK = ''
18
53
0.604167
17
144
5.117647
0.882353
0
0
0
0
0
0
0
0
0
0
0
0.180556
144
7
54
20.571429
0.737288
0.395833
0
0
0
0
0.369048
0
0
0
0
0
0
1
0
false
0
0
0
0
0
1
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
0
0
0
0
0
0
0
2
e7e2f0d8909d8aded4b234668a35a9bea452ea64
514
py
Python
src/bromine/exceptions.py
Etiqa/bromine
cabf0931f5a06796c26fdc7fb9f7ecf147554fd5
[ "BSD-2-Clause" ]
2
2018-09-20T12:37:01.000Z
2021-08-30T14:44:25.000Z
src/bromine/exceptions.py
Etiqa/bromine
cabf0931f5a06796c26fdc7fb9f7ecf147554fd5
[ "BSD-2-Clause" ]
null
null
null
src/bromine/exceptions.py
Etiqa/bromine
cabf0931f5a06796c26fdc7fb9f7ecf147554fd5
[ "BSD-2-Clause" ]
null
null
null
""" Global Bromine exception and warning classes. """ from selenium.common.exceptions import (NoSuchElementException, # pylint: disable=unused-import StaleElementReferenceException, TimeoutException) class BromineException(Exception): """Base class for all Bromine custom exceptions.""" class MultipleElementsFoundError(BromineException): """Multiple instances of a DOM element were found, but only one was expected."""
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99b3045cad2b02c487f592e3a12fefd9366714c0
65
py
Python
src/__init__.py
neuront/jtrans
291e04deac061c1848484bb5f80bcfec0d910d6c
[ "MIT" ]
1
2018-10-31T02:12:01.000Z
2018-10-31T02:12:01.000Z
src/__init__.py
neuront/jtrans
291e04deac061c1848484bb5f80bcfec0d910d6c
[ "MIT" ]
null
null
null
src/__init__.py
neuront/jtrans
291e04deac061c1848484bb5f80bcfec0d910d6c
[ "MIT" ]
null
null
null
__version__ = '0.0.3' REPO = 'https://github.com/neuront/jtrans'
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99b840a2a2e359344dc940d3f6572705741d4bad
6,649
py
Python
Dev/Cpp/CreateHeader.py
NumAniCloud/Effekseer
f4547a57eea4c85b55cb8218bf6cac6af6d6dd37
[ "Apache-2.0", "BSD-3-Clause" ]
1
2020-11-21T01:34:30.000Z
2020-11-21T01:34:30.000Z
Dev/Cpp/CreateHeader.py
NumAniCloud/Effekseer
f4547a57eea4c85b55cb8218bf6cac6af6d6dd37
[ "Apache-2.0", "BSD-3-Clause" ]
null
null
null
Dev/Cpp/CreateHeader.py
NumAniCloud/Effekseer
f4547a57eea4c85b55cb8218bf6cac6af6d6dd37
[ "Apache-2.0", "BSD-3-Clause" ]
null
null
null
import re import codecs def isValidLine(line): if re.search('include \"', line) == None or line.find('.PSVita') != -1 or line.find('.PS4') != -1 or line.find('.Switch') != -1 or line.find('.XBoxOne') != -1: return True return False class CreateHeader: def __init__(self): self.lines = [] def addLine(self,line): self.lines.append(line + '\n') def readLines(self,path): f = codecs.open(path, 'r','utf-8_sig') line = f.readline() while line: if isValidLine(line): self.lines.append(line) line = f.readline() f.close() def output(self,path): f = codecs.open(path, 'w','utf-8_sig') for line in self.lines: f.write(line) f.close() effekseerHeader = CreateHeader() effekseerHeader.readLines('Effekseer/Effekseer/Effekseer.Base.Pre.h') effekseerHeader.readLines('Effekseer/Effekseer/Utils/Effekseer.CustomAllocator.h') effekseerHeader.readLines('Effekseer/Effekseer/Effekseer.Vector2D.h') effekseerHeader.readLines('Effekseer/Effekseer/Effekseer.Vector3D.h') effekseerHeader.readLines('Effekseer/Effekseer/Effekseer.Color.h') effekseerHeader.readLines('Effekseer/Effekseer/Effekseer.RectF.h') effekseerHeader.readLines('Effekseer/Effekseer/Effekseer.Matrix43.h') effekseerHeader.readLines('Effekseer/Effekseer/Effekseer.Matrix44.h') effekseerHeader.readLines('Effekseer/Effekseer/Effekseer.File.h') effekseerHeader.readLines('Effekseer/Effekseer/Effekseer.DefaultFile.h') effekseerHeader.readLines('Effekseer/Effekseer/Effekseer.Effect.h') effekseerHeader.readLines('Effekseer/Effekseer/Effekseer.Manager.h') effekseerHeader.readLines('Effekseer/Effekseer/Effekseer.EffectLoader.h') effekseerHeader.readLines('Effekseer/Effekseer/Effekseer.TextureLoader.h') effekseerHeader.readLines('Effekseer/Effekseer/Model/ModelLoader.h') effekseerHeader.readLines('Effekseer/Effekseer/Effekseer.MaterialLoader.h') effekseerHeader.readLines('Effekseer/Effekseer/Model/Model.h') effekseerHeader.readLines('Effekseer/Effekseer/Effekseer.Curve.h') effekseerHeader.readLines('Effekseer/Effekseer/Effekseer.CurveLoader.h') effekseerHeader.readLines('Effekseer/Effekseer/Sound/Effekseer.SoundPlayer.h') effekseerHeader.readLines('Effekseer/Effekseer/Effekseer.SoundLoader.h') effekseerHeader.readLines('Effekseer/Effekseer/Effekseer.Setting.h') effekseerHeader.readLines('Effekseer/Effekseer/Effekseer.Server.h') effekseerHeader.readLines('Effekseer/Effekseer/Effekseer.Client.h') effekseerHeader.readLines('Effekseer/Effekseer/Backend/GraphicsDevice.h') effekseerHeader.output('Effekseer/Effekseer.h') effekseerInternalHeader = CreateHeader() effekseerInternalHeader.addLine('#pragma once') effekseerInternalHeader.addLine('#include "Effekseer.h"') effekseerInternalHeader.addLine('#include "Effekseer/SIMD/Effekseer.Vec2f.h"') effekseerInternalHeader.addLine('#include "Effekseer/SIMD/Effekseer.Vec3f.h"') effekseerInternalHeader.addLine('#include "Effekseer/SIMD/Effekseer.Vec4f.h"') effekseerInternalHeader.addLine('#include "Effekseer/SIMD/Effekseer.Mat43f.h"') effekseerInternalHeader.addLine('#include "Effekseer/SIMD/Effekseer.Mat44f.h"') effekseerInternalHeader.addLine('#include "Effekseer/SIMD/Effekseer.SIMDUtils.h"') effekseerInternalHeader.addLine('') effekseerInternalHeader.addLine('// A header to access internal data of effekseer') effekseerInternalHeader.addLine('') effekseerInternalHeader.readLines('Effekseer/Effekseer/Parameter/Effekseer.Parameters.h') effekseerInternalHeader.readLines('Effekseer/Effekseer/Renderer/Effekseer.SpriteRenderer.h') effekseerInternalHeader.readLines('Effekseer/Effekseer/Renderer/Effekseer.RibbonRenderer.h') effekseerInternalHeader.readLines('Effekseer/Effekseer/Renderer/Effekseer.RingRenderer.h') effekseerInternalHeader.readLines('Effekseer/Effekseer/Renderer/Effekseer.ModelRenderer.h') effekseerInternalHeader.readLines('Effekseer/Effekseer/Renderer/Effekseer.TrackRenderer.h') effekseerInternalHeader.output('Effekseer/Effekseer.Internal.h') effekseerRendererDX9Header = CreateHeader() effekseerRendererDX9Header.readLines('EffekseerRendererDX9/EffekseerRenderer/EffekseerRendererDX9.Base.Pre.h') effekseerRendererDX9Header.readLines('EffekseerRendererCommon/EffekseerRenderer.Renderer.h') effekseerRendererDX9Header.readLines('EffekseerRendererDX9/EffekseerRenderer/EffekseerRendererDX9.Renderer.h') effekseerRendererDX9Header.output('EffekseerRendererDX9/EffekseerRendererDX9.h') effekseerRendererDX11Header = CreateHeader() effekseerRendererDX11Header.readLines('EffekseerRendererDX11/EffekseerRenderer/EffekseerRendererDX11.Base.Pre.h') effekseerRendererDX11Header.readLines('EffekseerRendererCommon/EffekseerRenderer.Renderer.h') effekseerRendererDX11Header.readLines('EffekseerRendererDX11/EffekseerRenderer/EffekseerRendererDX11.Renderer.h') effekseerRendererDX11Header.output('EffekseerRendererDX11/EffekseerRendererDX11.h') effekseerRendererDX12Header = CreateHeader() effekseerRendererDX12Header.readLines('EffekseerRendererDX12/EffekseerRenderer/EffekseerRendererDX12.Base.Pre.h') effekseerRendererDX12Header.readLines('EffekseerRendererCommon/EffekseerRenderer.Renderer.h') effekseerRendererDX12Header.readLines('EffekseerRendererDX12/EffekseerRenderer/EffekseerRendererDX12.Renderer.h') effekseerRendererDX12Header.output('EffekseerRendererDX12/EffekseerRendererDX12.h') effekseerRendererVulkanHeader = CreateHeader() effekseerRendererVulkanHeader.readLines('EffekseerRendererVulkan/EffekseerRenderer/EffekseerRendererVulkan.Base.Pre.h') effekseerRendererVulkanHeader.readLines('EffekseerRendererCommon/EffekseerRenderer.Renderer.h') effekseerRendererVulkanHeader.readLines('EffekseerRendererVulkan/EffekseerRenderer/EffekseerRendererVulkan.Renderer.h') effekseerRendererVulkanHeader.output('EffekseerRendererVulkan/EffekseerRendererVulkan.h') effekseerRendererGLHeader = CreateHeader() effekseerRendererGLHeader.readLines('EffekseerRendererGL/EffekseerRenderer/EffekseerRendererGL.Base.Pre.h') effekseerRendererGLHeader.readLines('EffekseerRendererCommon/EffekseerRenderer.Renderer.h') effekseerRendererGLHeader.readLines('EffekseerRendererGL/EffekseerRenderer/EffekseerRendererGL.Renderer.h') effekseerRendererGLHeader.output('EffekseerRendererGL/EffekseerRendererGL.h') effekseerRendererMetalHeader = CreateHeader() effekseerRendererMetalHeader.readLines('EffekseerRendererMetal/EffekseerRenderer/EffekseerRendererMetal.Base.Pre.h') effekseerRendererMetalHeader.readLines('EffekseerRendererCommon/EffekseerRenderer.Renderer.h') effekseerRendererMetalHeader.readLines('EffekseerRendererMetal/EffekseerRenderer/EffekseerRendererMetal.Renderer.h') effekseerRendererMetalHeader.output('EffekseerRendererMetal/EffekseerRendererMetal.h')
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6,649
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99be4754e2c0ff7cecb500a1dc5e5acd0e8dcf60
546
py
Python
src/camera/camera.py
jucoba/IpCamMonitorSystem
466e22d3cd095dbf99a1238713f1c23cabe514ed
[ "MIT" ]
1
2017-05-13T18:22:03.000Z
2017-05-13T18:22:03.000Z
src/camera/camera.py
jucoba/IpCamMonitorSystem
466e22d3cd095dbf99a1238713f1c23cabe514ed
[ "MIT" ]
null
null
null
src/camera/camera.py
jucoba/IpCamMonitorSystem
466e22d3cd095dbf99a1238713f1c23cabe514ed
[ "MIT" ]
null
null
null
from utils.paramUtils import * from utils.configUtils import * class Camera(): json_data = None paramUtil = ParamUtils() configUtil = ConfigUtils() def __init__(self, json_data): self.json_data = json_data self.url = self.configUtil.getUrl(json_data) def motion_detected(self): params = self.get_status() alarm_status = params["alarm_status"] return "1" == alarm_status def get_status(self): dic = self.paramUtil.get_status(self.url, "user", "pwd") return dic def getUrl(self): return "192.168.1.101:8080"
21.84
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0.107817
0.06469
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0.17033
546
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21.84
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0.222222
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0
0
0
0
1
0
0
2
99c932b7b330e53a0d1d9e71a543716bac2b814e
3,534
py
Python
libdyson/dyson_pure_humidify_cool.py
vbsoftpl/libdyson
70d890259fe7baaa106f8c3302cd42077697ddd7
[ "Apache-2.0" ]
28
2021-02-11T22:44:01.000Z
2022-03-28T22:29:35.000Z
libdyson/dyson_pure_humidify_cool.py
vbsoftpl/libdyson
70d890259fe7baaa106f8c3302cd42077697ddd7
[ "Apache-2.0" ]
20
2021-03-07T15:18:58.000Z
2022-03-07T13:47:30.000Z
libdyson/dyson_pure_humidify_cool.py
vbsoftpl/libdyson
70d890259fe7baaa106f8c3302cd42077697ddd7
[ "Apache-2.0" ]
25
2021-02-13T14:55:43.000Z
2022-03-29T22:27:55.000Z
"""Dyson Pure Humidify+Cool device.""" from typing import Optional from .const import HumidifyOscillationMode, WaterHardness from .dyson_pure_cool import DysonPureCoolBase WATER_HARDNESS_ENUM_TO_STR = { WaterHardness.SOFT: "2025", WaterHardness.MEDIUM: "1350", WaterHardness.HARD: "0675", } WATER_HARDNESS_STR_TO_ENUM = { str_: enum for enum, str_ in WATER_HARDNESS_ENUM_TO_STR.items() } class DysonPureHumidifyCool(DysonPureCoolBase): """Dyson Pure Humidify+Cool device.""" @property def oscillation(self) -> bool: """Return oscillation status.""" return self._get_field_value(self._status, "oson") == "ON" @property def oscillation_mode(self) -> HumidifyOscillationMode: """Return oscillation mode.""" return HumidifyOscillationMode(self._get_field_value(self._status, "ancp")) @property def humidification(self) -> bool: """Return if humidification is on.""" return self._get_field_value(self._status, "hume") == "HUMD" @property def humidification_auto_mode(self) -> bool: """Return if humidification auto mode is on.""" return self._get_field_value(self._status, "haut") == "ON" @property def target_humidity(self) -> int: """Return target humidity in percentage.""" return int(self._get_field_value(self._status, "humt")) @property def auto_target_humidity(self) -> int: """Return humidification auto mode target humidity.""" return int(self._get_field_value(self._status, "rect")) @property def water_hardness(self) -> WaterHardness: """Return the water hardness setting.""" return WATER_HARDNESS_STR_TO_ENUM[self._get_field_value(self._status, "wath")] @property def time_until_next_clean(self) -> int: """Return the time remaining in hours before the next deep cleaning.""" return int(self._get_field_value(self._status, "cltr")) @property def clean_time_remaining(self) -> int: """Return the time remaining in minutes before the cleaning finishes.""" return int(self._get_field_value(self._status, "cdrr")) def enable_oscillation( self, oscillation_mode: Optional[HumidifyOscillationMode] = None ) -> None: """Turn on oscillation.""" if oscillation_mode is None: oscillation_mode = self.oscillation_mode self._set_configuration(oson="ON", fpwr="ON", ancp=oscillation_mode.value) def disable_oscillation(self) -> None: """Turn off oscillation.""" self._set_configuration(oson="OFF") def enable_humidification(self) -> None: """Enable humidification.""" self._set_configuration(hume="HUMD") def disable_humidification(self) -> None: """Disable humidification.""" self._set_configuration(hume="OFF") def enable_humidification_auto_mode(self) -> None: """Enable humidification auto mode.""" self._set_configuration(haut="ON") def disable_humidification_auto_mode(self) -> None: """Disable humidification auto mode.""" self._set_configuration(haut="OFF") def set_target_humidity(self, target_humidity: int) -> None: """Set target humidity.""" self._set_configuration(humt=f"{target_humidity:04d}", haut="OFF") def set_water_hardness(self, water_hardness: WaterHardness) -> None: """Set water hardness.""" self._set_configuration(wath=WATER_HARDNESS_ENUM_TO_STR[water_hardness])
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99cf2e6c972e6c1e9a70c4c30a8071a16ed1cd47
393
py
Python
edw_fluent/signals/handlers/__init__.py
infolabs/django_edw_fluent
ddb013c0b4dde9c7b00282c9b0c43b06e21b7c19
[ "MIT" ]
1
2020-10-23T08:55:21.000Z
2020-10-23T08:55:21.000Z
edw_fluent/signals/handlers/__init__.py
EagerBeager/django-edw-fluent
ab10ffe17000f2d07f29e4a25892ebc0e2e47101
[ "MIT" ]
3
2020-03-24T14:34:37.000Z
2021-06-10T21:12:53.000Z
edw_fluent/signals/handlers/__init__.py
EagerBeager/django-edw-fluent
ab10ffe17000f2d07f29e4a25892ebc0e2e47101
[ "MIT" ]
2
2020-10-23T08:55:19.000Z
2022-03-02T07:05:45.000Z
# -*- coding: utf-8 -*- from django.db.utils import ProgrammingError try: from edw_fluent.signals.handlers import ( page_layout, template, entity, data_mart, term, simple_page, hot_tag ) except (AttributeError, ProgrammingError) as e: # initial migrations hack print("*** INITIAL MIGRATIONS HACK ***") print(e.args)
21.833333
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99cfded404e2fff90ba78176653a31e7278d3928
1,175
py
Python
submission/util.py
pwqbot/eoj3
46be6a6f192798e74eab7b327bb8df7ca73575d9
[ "MIT" ]
107
2017-03-15T11:53:45.000Z
2019-09-06T11:23:44.000Z
submission/util.py
OS-EDU/eoj3
f117dcd4e3cea7d150c3e3794e7255e00d486c88
[ "MIT" ]
27
2019-09-24T12:44:48.000Z
2022-03-11T23:18:21.000Z
submission/util.py
OS-EDU/eoj3
f117dcd4e3cea7d150c3e3794e7255e00d486c88
[ "MIT" ]
25
2019-10-11T10:39:12.000Z
2022-03-18T05:15:57.000Z
class SubmissionStatus(object): SUBMITTED = -4 WAITING = -3 JUDGING = -2 WRONG_ANSWER = -1 ACCEPTED = 0 TIME_LIMIT_EXCEEDED = 1 IDLENESS_LIMIT_EXCEEDED = 2 MEMORY_LIMIT_EXCEEDED = 3 RUNTIME_ERROR = 4 SYSTEM_ERROR = 5 COMPILE_ERROR = 6 SCORED = 7 REJECTED = 10 JUDGE_ERROR = 11 PRETEST_PASSED = 12 @staticmethod def is_judged(status): return status >= SubmissionStatus.WRONG_ANSWER @staticmethod def is_penalty(status): return SubmissionStatus.is_judged(status) and status != SubmissionStatus.COMPILE_ERROR @staticmethod def is_accepted(status): return status == SubmissionStatus.ACCEPTED or status == SubmissionStatus.PRETEST_PASSED @staticmethod def is_scored(status): return status == SubmissionStatus.SCORED STATUS_CHOICE = ( (-4, 'Submitted'), (-3, 'In queue'), (-2, 'Running'), (-1, 'Wrong answer'), (0, 'Accepted'), (1, 'Time limit exceeded'), (2, 'Idleness limit exceeded'), (3, 'Memory limit exceeded'), (4, 'Runtime error'), (5, 'Denial of judgement'), (6, 'Compilation error'), (7, 'Partial score'), (10, 'Rejected'), (11, 'Checker error'), (12, 'Pretest passed'), )
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99e8b2d89b7758b9057c1a18c6d154fb6590ef35
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py
Python
protos/kokoro_api_pb2.py
portintegration/releasetool
7567bd29b3c13b14f6336cbdb11965c2d2b65a2e
[ "Apache-2.0" ]
23
2018-10-09T15:14:21.000Z
2022-01-24T12:18:57.000Z
protos/kokoro_api_pb2.py
portintegration/releasetool
7567bd29b3c13b14f6336cbdb11965c2d2b65a2e
[ "Apache-2.0" ]
160
2018-09-21T22:16:02.000Z
2022-03-30T21:51:35.000Z
protos/kokoro_api_pb2.py
portintegration/releasetool
7567bd29b3c13b14f6336cbdb11965c2d2b65a2e
[ "Apache-2.0" ]
19
2018-10-08T20:39:39.000Z
2021-07-28T15:17:14.000Z
# Generated by the protocol buffer compiler. DO NOT EDIT! # source: kokoro_api.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() DESCRIPTOR = _descriptor.FileDescriptor( name='kokoro_api.proto', package='devtools.kokoro.api.proto', syntax='proto2', serialized_options=None, serialized_pb=_b('\n\x10kokoro_api.proto\x12\x19\x64\x65vtools.kokoro.api.proto\"\xf9\x02\n\x0c\x42uildRequest\x12\x15\n\rfull_job_name\x18\x01 \x01(\t\x12<\n\x0cscm_revision\x18\x03 \x01(\x0b\x32&.devtools.kokoro.api.proto.ScmRevision\x12\x18\n\x10input_file_paths\x18\x04 \x03(\t\x12\x46\n\x08\x65nv_vars\x18\x06 \x03(\x0b\x32\x34.devtools.kokoro.api.proto.BuildRequest.EnvVarsEntry\x12N\n\x0c\x62uild_params\x18\x0c \x03(\x0b\x32\x38.devtools.kokoro.api.proto.BuildRequest.BuildParamsEntry\x1a.\n\x0c\x45nvVarsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\x1a\x32\n\x10\x42uildParamsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\"i\n\x0bScmRevision\x12K\n\x13github_scm_revision\x18\x04 \x01(\x0b\x32,.devtools.kokoro.api.proto.GithubScmRevisionH\x00\x42\r\n\x0bscmrevision\"\x8d\x01\n\x11GithubScmRevision\x12\x0c\n\x04name\x18\x04 \x01(\t\x12\x12\n\ncommit_sha\x18\x01 \x01(\t\x12\x1b\n\x13pull_request_number\x18\x02 \x01(\t\x12\x16\n\x0erepository_url\x18\x03 \x01(\t\x12\r\n\x05owner\x18\x05 \x01(\t\x12\x12\n\nrepository\x18\x06 \x01(\t') ) _BUILDREQUEST_ENVVARSENTRY = _descriptor.Descriptor( name='EnvVarsEntry', full_name='devtools.kokoro.api.proto.BuildRequest.EnvVarsEntry', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='key', full_name='devtools.kokoro.api.proto.BuildRequest.EnvVarsEntry.key', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='value', full_name='devtools.kokoro.api.proto.BuildRequest.EnvVarsEntry.value', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=_b('8\001'), is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=327, serialized_end=373, ) _BUILDREQUEST_BUILDPARAMSENTRY = _descriptor.Descriptor( name='BuildParamsEntry', full_name='devtools.kokoro.api.proto.BuildRequest.BuildParamsEntry', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='key', full_name='devtools.kokoro.api.proto.BuildRequest.BuildParamsEntry.key', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='value', full_name='devtools.kokoro.api.proto.BuildRequest.BuildParamsEntry.value', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=_b('8\001'), is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=375, serialized_end=425, ) _BUILDREQUEST = _descriptor.Descriptor( name='BuildRequest', full_name='devtools.kokoro.api.proto.BuildRequest', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='full_job_name', full_name='devtools.kokoro.api.proto.BuildRequest.full_job_name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='scm_revision', full_name='devtools.kokoro.api.proto.BuildRequest.scm_revision', index=1, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='input_file_paths', full_name='devtools.kokoro.api.proto.BuildRequest.input_file_paths', index=2, number=4, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='env_vars', full_name='devtools.kokoro.api.proto.BuildRequest.env_vars', index=3, number=6, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='build_params', full_name='devtools.kokoro.api.proto.BuildRequest.build_params', index=4, number=12, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[_BUILDREQUEST_ENVVARSENTRY, _BUILDREQUEST_BUILDPARAMSENTRY, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=48, serialized_end=425, ) _SCMREVISION = _descriptor.Descriptor( name='ScmRevision', full_name='devtools.kokoro.api.proto.ScmRevision', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='github_scm_revision', full_name='devtools.kokoro.api.proto.ScmRevision.github_scm_revision', index=0, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name='scmrevision', full_name='devtools.kokoro.api.proto.ScmRevision.scmrevision', index=0, containing_type=None, fields=[]), ], serialized_start=427, serialized_end=532, ) _GITHUBSCMREVISION = _descriptor.Descriptor( name='GithubScmRevision', full_name='devtools.kokoro.api.proto.GithubScmRevision', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='name', full_name='devtools.kokoro.api.proto.GithubScmRevision.name', index=0, number=4, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='commit_sha', full_name='devtools.kokoro.api.proto.GithubScmRevision.commit_sha', index=1, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='pull_request_number', full_name='devtools.kokoro.api.proto.GithubScmRevision.pull_request_number', index=2, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='repository_url', full_name='devtools.kokoro.api.proto.GithubScmRevision.repository_url', index=3, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='owner', full_name='devtools.kokoro.api.proto.GithubScmRevision.owner', index=4, number=5, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='repository', full_name='devtools.kokoro.api.proto.GithubScmRevision.repository', index=5, number=6, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=535, serialized_end=676, ) _BUILDREQUEST_ENVVARSENTRY.containing_type = _BUILDREQUEST _BUILDREQUEST_BUILDPARAMSENTRY.containing_type = _BUILDREQUEST _BUILDREQUEST.fields_by_name['scm_revision'].message_type = _SCMREVISION _BUILDREQUEST.fields_by_name['env_vars'].message_type = _BUILDREQUEST_ENVVARSENTRY _BUILDREQUEST.fields_by_name['build_params'].message_type = _BUILDREQUEST_BUILDPARAMSENTRY _SCMREVISION.fields_by_name['github_scm_revision'].message_type = _GITHUBSCMREVISION _SCMREVISION.oneofs_by_name['scmrevision'].fields.append( _SCMREVISION.fields_by_name['github_scm_revision']) _SCMREVISION.fields_by_name['github_scm_revision'].containing_oneof = _SCMREVISION.oneofs_by_name['scmrevision'] DESCRIPTOR.message_types_by_name['BuildRequest'] = _BUILDREQUEST DESCRIPTOR.message_types_by_name['ScmRevision'] = _SCMREVISION DESCRIPTOR.message_types_by_name['GithubScmRevision'] = _GITHUBSCMREVISION _sym_db.RegisterFileDescriptor(DESCRIPTOR) BuildRequest = _reflection.GeneratedProtocolMessageType('BuildRequest', (_message.Message,), dict( EnvVarsEntry = _reflection.GeneratedProtocolMessageType('EnvVarsEntry', (_message.Message,), dict( DESCRIPTOR = _BUILDREQUEST_ENVVARSENTRY, __module__ = 'kokoro_api_pb2' # @@protoc_insertion_point(class_scope:devtools.kokoro.api.proto.BuildRequest.EnvVarsEntry) )) , BuildParamsEntry = _reflection.GeneratedProtocolMessageType('BuildParamsEntry', (_message.Message,), dict( DESCRIPTOR = _BUILDREQUEST_BUILDPARAMSENTRY, __module__ = 'kokoro_api_pb2' # @@protoc_insertion_point(class_scope:devtools.kokoro.api.proto.BuildRequest.BuildParamsEntry) )) , DESCRIPTOR = _BUILDREQUEST, __module__ = 'kokoro_api_pb2' # @@protoc_insertion_point(class_scope:devtools.kokoro.api.proto.BuildRequest) )) _sym_db.RegisterMessage(BuildRequest) _sym_db.RegisterMessage(BuildRequest.EnvVarsEntry) _sym_db.RegisterMessage(BuildRequest.BuildParamsEntry) ScmRevision = _reflection.GeneratedProtocolMessageType('ScmRevision', (_message.Message,), dict( DESCRIPTOR = _SCMREVISION, __module__ = 'kokoro_api_pb2' # @@protoc_insertion_point(class_scope:devtools.kokoro.api.proto.ScmRevision) )) _sym_db.RegisterMessage(ScmRevision) GithubScmRevision = _reflection.GeneratedProtocolMessageType('GithubScmRevision', (_message.Message,), dict( DESCRIPTOR = _GITHUBSCMREVISION, __module__ = 'kokoro_api_pb2' # @@protoc_insertion_point(class_scope:devtools.kokoro.api.proto.GithubScmRevision) )) _sym_db.RegisterMessage(GithubScmRevision) _BUILDREQUEST_ENVVARSENTRY._options = None _BUILDREQUEST_BUILDPARAMSENTRY._options = None # @@protoc_insertion_point(module_scope)
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py
Python
cgee/Producao/py-nlp/GenerateID.py
gustavodsf/java_project
ce0e735d6ce4804d30ae52986285e4c5f5e2d9b7
[ "Apache-2.0" ]
null
null
null
cgee/Producao/py-nlp/GenerateID.py
gustavodsf/java_project
ce0e735d6ce4804d30ae52986285e4c5f5e2d9b7
[ "Apache-2.0" ]
null
null
null
cgee/Producao/py-nlp/GenerateID.py
gustavodsf/java_project
ce0e735d6ce4804d30ae52986285e4c5f5e2d9b7
[ "Apache-2.0" ]
null
null
null
#! /usr/bin/env python # -*- coding: utf-8 -*- ''' Empresa: Funcao Coppetec Desenvolvedor: Gustavo Daniel Soares Figueiredo Data: 14/12/2014 Descricao: Classe criada para gerar os id dos objetos a serem adicionados no banco de dados, evitando assim mais requisições ao banco de dados. ''' class GenerateID: def __init__(self): # Variável que armazena o último id das palavras self.idWord = 0 # Variável que armazena o último id do mapeamento entre palavra de id self.idwordHasTxt = 0 # Variável que armazena o último id dos títulos originais. self.idSource = 0 # Variável que armazena o último id do radical a ser adicionado. self.idStem = 0 def getIdWord(self): return self.idWord def getIdWordHasTxt(self): return self.idwordHasTxt def getIdSource(self): return self.idSource def getIdStem(self): return self.idStem; def incrementIdWord(self): self.idWord = self.idWord + 1 def incrementIdWordHasTxt(self): self.idwordHasTxt = self.idwordHasTxt + 1 def incrementIdSource(self): self.idSource = self.idSource + 1 def incrementIdStem(self): self.idStem = self.idStem + 1
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99f3c397e2ceb24adfe2a47d369c5bea4a24c225
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py
Python
postGIS_tools/routines/back_up_entire_machine.py
AltaPlanning/postGIS-tools
c39957d8eda0b67a34c46f629bb5dea1b65085d7
[ "MIT" ]
4
2020-06-25T17:18:28.000Z
2020-08-28T15:43:29.000Z
postGIS_tools/routines/back_up_entire_machine.py
AltaPlanning/postGIS-tools
c39957d8eda0b67a34c46f629bb5dea1b65085d7
[ "MIT" ]
null
null
null
postGIS_tools/routines/back_up_entire_machine.py
AltaPlanning/postGIS-tools
c39957d8eda0b67a34c46f629bb5dea1b65085d7
[ "MIT" ]
2
2019-10-09T04:29:34.000Z
2019-11-18T02:37:04.000Z
""" TODO: docstrings all across file Examples -------- >>> from postGIS_tools.configurations import get_postGIS_config, USER_DESKTOP >>> config, _ = get_postGIS_config() >>> config["localhost"]["debug"] = True >>> back_up_all_databases(USER_DESKTOP, **config["localhost"]) >>> remove_all_databases(databases_to_keep=["aaron", "postgres"], **config["localhost"]) """ import psycopg2 from psycopg2.extensions import ISOLATION_LEVEL_AUTOCOMMIT import postGIS_tools as pGIS from postGIS_tools.constants import PG_PASSWORD def back_up_all_databases( backup_folder: str, host: str = 'localhost', username: str = 'postgres', password: str = PG_PASSWORD, port: int = 5432, debug: bool = True ): """ Save each database to file """ config = {'host': host, 'username': username, 'password': password, 'port': port, 'debug': debug} for database in pGIS.get_database_list(**config): pGIS.dump_database_to_sql_file(database, backup_folder, **config) def remove_all_databases( databases_to_keep: list = ["postgres"], host: str = 'localhost', username: str = 'postgres', password: str = PG_PASSWORD, port: int = 5432, debug: bool = True ): """ DROP each database that's not in the list of databases_to_keep """ config = {'host': host, 'username': username, 'password': password, 'port': port, 'debug': debug} for db_name in pGIS.get_database_list(**config): if db_name not in databases_to_keep: query = f"DROP DATABASE {db_name}" if debug: print(query) connection = psycopg2.connect(dbname='postgres', user='postgres', host=host, password=password) connection.set_isolation_level(ISOLATION_LEVEL_AUTOCOMMIT) cursor = connection.cursor() cursor.execute(query) cursor.close() connection.commit() connection.close() if __name__ == "__main__": pass # remove_all_databases(["postgres", "aaron"])
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py
Python
tests/test_paginated_list.py
eriktews/canvasapi
132146395ecf55227cae69dc4d5f6d94545172b9
[ "MIT" ]
null
null
null
tests/test_paginated_list.py
eriktews/canvasapi
132146395ecf55227cae69dc4d5f6d94545172b9
[ "MIT" ]
null
null
null
tests/test_paginated_list.py
eriktews/canvasapi
132146395ecf55227cae69dc4d5f6d94545172b9
[ "MIT" ]
null
null
null
from __future__ import absolute_import, division, print_function, unicode_literals import unittest import requests_mock from canvasapi import Canvas from canvasapi.enrollment_term import EnrollmentTerm from canvasapi.paginated_list import PaginatedList from canvasapi.user import User from tests import settings from tests.util import register_uris @requests_mock.Mocker() class TestPaginatedList(unittest.TestCase): def setUp(self): self.canvas = Canvas(settings.BASE_URL, settings.API_KEY) self.requester = self.canvas._Canvas__requester # various length lists def test_paginated_list_empty(self, m): register_uris({"paginated_list": ["empty"]}, m) pag_list = PaginatedList(User, self.requester, "GET", "empty_list") item_list = [item for item in pag_list] self.assertEqual(len(item_list), 0) def test_paginated_list_single(self, m): register_uris({"paginated_list": ["single"]}, m) pag_list = PaginatedList(User, self.requester, "GET", "single_item") item_list = [item for item in pag_list] self.assertEqual(len(item_list), 1) self.assertIsInstance(item_list[0], User) def test_paginated_list_two_one_page(self, m): register_uris({"paginated_list": ["2_1_page"]}, m) pag_list = PaginatedList(User, self.requester, "GET", "two_objects_one_page") item_list = [item for item in pag_list] self.assertEqual(len(item_list), 2) self.assertIsInstance(item_list[0], User) def test_paginated_list_four_two_pages(self, m): register_uris({"paginated_list": ["4_2_pages_p1", "4_2_pages_p2"]}, m) pag_list = PaginatedList(User, self.requester, "GET", "four_objects_two_pages") item_list = [item for item in pag_list] self.assertEqual(len(item_list), 4) self.assertIsInstance(item_list[0], User) def test_paginated_list_six_three_pages(self, m): requires = {"paginated_list": ["6_3_pages_p1", "6_3_pages_p2", "6_3_pages_p3"]} register_uris(requires, m) pag_list = PaginatedList(User, self.requester, "GET", "six_objects_three_pages") item_list = [item for item in pag_list] self.assertEqual(len(item_list), 6) self.assertIsInstance(item_list[0], User) # reusing iterator def test_iterator(self, m): requires = {"paginated_list": ["6_3_pages_p1", "6_3_pages_p2", "6_3_pages_p3"]} register_uris(requires, m) pag_list = PaginatedList(User, self.requester, "GET", "six_objects_three_pages") list_1 = [item for item in pag_list] list_2 = [item for item in pag_list] self.assertEqual(list_1, list_2) # get item def test_getitem_first(self, m): requires = {"paginated_list": ["6_3_pages_p1", "6_3_pages_p2", "6_3_pages_p3"]} register_uris(requires, m) pag_list = PaginatedList(User, self.requester, "GET", "six_objects_three_pages") first_item = pag_list[0] self.assertIsInstance(first_item, User) def test_getitem_second_page(self, m): requires = {"paginated_list": ["6_3_pages_p1", "6_3_pages_p2", "6_3_pages_p3"]} register_uris(requires, m) pag_list = PaginatedList(User, self.requester, "GET", "six_objects_three_pages") third_item = pag_list[2] self.assertIsInstance(third_item, User) # slicing def test_slice_beginning(self, m): requires = {"paginated_list": ["6_3_pages_p1", "6_3_pages_p2", "6_3_pages_p3"]} register_uris(requires, m) pag_list = PaginatedList(User, self.requester, "GET", "six_objects_three_pages") first_two_items = pag_list[:2] item_list = [item for item in first_two_items] self.assertEqual(len(item_list), 2) self.assertIsInstance(item_list[0], User) self.assertTrue(hasattr(item_list[0], "id")) self.assertEqual(item_list[0].id, "1") def test_slice_middle(self, m): requires = {"paginated_list": ["6_3_pages_p1", "6_3_pages_p2", "6_3_pages_p3"]} register_uris(requires, m) pag_list = PaginatedList(User, self.requester, "GET", "six_objects_three_pages") middle_two_items = pag_list[2:4] item_list = [item for item in middle_two_items] self.assertEqual(len(item_list), 2) self.assertIsInstance(item_list[0], User) self.assertTrue(hasattr(item_list[0], "id")) self.assertEqual(item_list[0].id, "3") def test_slice_end(self, m): requires = {"paginated_list": ["6_3_pages_p1", "6_3_pages_p2", "6_3_pages_p3"]} register_uris(requires, m) pag_list = PaginatedList(User, self.requester, "GET", "six_objects_three_pages") middle_two_items = pag_list[4:6] item_list = [item for item in middle_two_items] self.assertEqual(len(item_list), 2) self.assertIsInstance(item_list[0], User) self.assertTrue(hasattr(item_list[0], "id")) self.assertEqual(item_list[0].id, "5") def test_slice_oversize(self, m): requires = {"paginated_list": ["4_2_pages_p1", "4_2_pages_p2"]} register_uris(requires, m) pag_list = PaginatedList(User, self.requester, "GET", "four_objects_two_pages") oversized_slice = pag_list[0:10] item_list = [item for item in oversized_slice] self.assertEqual(len(item_list), 4) def test_slice_out_of_bounds(self, m): requires = {"paginated_list": ["4_2_pages_p1", "4_2_pages_p2"]} register_uris(requires, m) pag_list = PaginatedList(User, self.requester, "GET", "four_objects_two_pages") out_of_bounds = pag_list[4:5] item_list = [item for item in out_of_bounds] self.assertEqual(len(item_list), 0) # __repr__() def test_repr(self, m): requires = {"paginated_list": ["6_3_pages_p1", "6_3_pages_p2", "6_3_pages_p3"]} register_uris(requires, m) pag_list = PaginatedList(User, self.requester, "GET", "six_objects_three_pages") self.assertEqual(pag_list.__repr__(), "<PaginatedList of type User>") def test_root_element_incorrect(self, m): register_uris({"account": ["get_enrollment_terms"]}, m) pag_list = PaginatedList( EnrollmentTerm, self.requester, "GET", "accounts/1/terms", _root="wrong" ) with self.assertRaises(ValueError): pag_list[0] def test_root_element(self, m): register_uris({"account": ["get_enrollment_terms"]}, m) pag_list = PaginatedList( EnrollmentTerm, self.requester, "GET", "accounts/1/terms", _root="enrollment_terms", ) self.assertIsInstance(pag_list[0], EnrollmentTerm) def test_negative_index(self, m): # Regression test for https://github.com/ucfopen/canvasapi/issues/305 # Ensure that we can't use negative indexing, even after loading a page register_uris({"paginated_list": ["4_2_pages_p1", "4_2_pages_p2"]}, m) pag_list = PaginatedList(User, self.requester, "GET", "four_objects_two_pages") pag_list[0] with self.assertRaises(IndexError): pag_list[-1] def test_negative_index_for_slice_start(self, m): # Regression test for https://github.com/ucfopen/canvasapi/issues/305 # Ensure that we can't slice using a negative index as the start item register_uris({"paginated_list": ["4_2_pages_p1", "4_2_pages_p2"]}, m) pag_list = PaginatedList(User, self.requester, "GET", "four_objects_two_pages") pag_list[0] with self.assertRaises(IndexError): pag_list[-1:1] def test_negative_index_for_slice_end(self, m): # Regression test for https://github.com/ucfopen/canvasapi/issues/305 # Ensure that we can't slice using a negative index as the end item register_uris({"paginated_list": ["4_2_pages_p1", "4_2_pages_p2"]}, m) pag_list = PaginatedList(User, self.requester, "GET", "four_objects_two_pages") pag_list[0] with self.assertRaises(IndexError): pag_list[:-1]
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2
8200cf491a16b60f3e40c5f160051d1422366337
1,008
py
Python
src/dice_stats/_magic/mapping.py
sponsfreixes/dice_stats
47e4909ffca896121a15aedef06c7fae8533bd06
[ "MIT" ]
2
2020-03-11T04:20:52.000Z
2020-03-11T16:53:48.000Z
src/dice_stats/_magic/mapping.py
sponsfreixes/dice_stats
47e4909ffca896121a15aedef06c7fae8533bd06
[ "MIT" ]
5
2020-03-11T04:29:56.000Z
2020-03-15T00:50:18.000Z
src/dice_stats/_magic/mapping.py
sponsfreixes/dice_stats
47e4909ffca896121a15aedef06c7fae8533bd06
[ "MIT" ]
2
2020-03-11T05:23:22.000Z
2022-02-18T00:06:40.000Z
""" Mapping interface. Code to make Dice implement an immutable mapping interface. This interface helps to keep code that uses dice Pythonic as they can use standard methods, and it the immutability helps make all the code simpler to use as we don't need to think about mutability. """ from __future__ import annotations import fractions from typing import Iterator, Mapping from .._types import TChancesChance, TChancesValue from .base_dice import BaseDice class MappingDice(BaseDice, Mapping[TChancesValue, TChancesChance]): """Mapping mixin.""" def __getitem__(self, item: TChancesValue) -> fractions.Fraction: """Get :ref:`ds-t-Chances Chance`.""" return self._chances.__getitem__(item) * self._total_chance def __iter__(self) -> Iterator[TChancesValue]: """Get all :ref:`ds-t-Chances Value`.""" return self._chances.__iter__() def __len__(self) -> int: """Count of all :ref:`ds-t-Chances Value`.""" return self._chances.__len__()
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8217b4796812f86fa895263899add1b8a9eec667
1,737
py
Python
accounts/views.py
omid-taj/Deepfake-Detection-Website
8ba5cb5dda05df884a25120e7b2faffe900ca251
[ "MIT" ]
1
2021-08-01T00:17:56.000Z
2021-08-01T00:17:56.000Z
accounts/views.py
omid-taj/Deepfake-Detection-Website
8ba5cb5dda05df884a25120e7b2faffe900ca251
[ "MIT" ]
8
2021-03-30T13:17:39.000Z
2022-03-12T00:28:19.000Z
accounts/views.py
omid-taj/Deepfake-Detection-Website
8ba5cb5dda05df884a25120e7b2faffe900ca251
[ "MIT" ]
null
null
null
from django.contrib.auth.mixins import LoginRequiredMixin from django.contrib.auth.models import User from django.shortcuts import render, redirect from django.contrib.auth import login as auth_login from django.contrib.auth import logout as auth_logout # Create your views here. from django.views.generic import View class SignupView(View): def get(self, request): return render(request, 'signup.html', {'user_exist': False}) def post(self, request): username = request.POST['username'] email = request.POST['email'] password = request.POST['password'] try: user = User.objects.create_user(username=username, email=email, password=password) except: return render(request, 'signup.html', {'user_exist': True}) auth_login(request, user=user) print(username, 'loged in') return redirect('home') class LoginView(View): def get(self, request): return render(request, 'login.html', {'check_pass': False}) def post(self, request): username = request.POST['username'] password = request.POST['password'] try: user = User.objects.get(username=username) if user.check_password(password): auth_login(request, user=user) print(username, 'loged in') return redirect('home') else: return render(request, 'login.html', {'check_pass': True}) except: return render(request, 'login.html', {'check_pass': True}) class LogoutView(LoginRequiredMixin, View): def get(self, request): auth_logout(request) return render(request, 'login.html', {'check_pass': False})
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82353c7059ffa3a5062b9787ddbc7ad62b5ef466
284
py
Python
classes_and_testsTest/DocumentationFromUnitTestsTestData/DataSet1_py_ClassFile.py
anconaesselmann/LiveUnit
8edebb49cb02fa898550cbafdf87af7fc22f106b
[ "MIT" ]
null
null
null
classes_and_testsTest/DocumentationFromUnitTestsTestData/DataSet1_py_ClassFile.py
anconaesselmann/LiveUnit
8edebb49cb02fa898550cbafdf87af7fc22f106b
[ "MIT" ]
null
null
null
classes_and_testsTest/DocumentationFromUnitTestsTestData/DataSet1_py_ClassFile.py
anconaesselmann/LiveUnit
8edebb49cb02fa898550cbafdf87af7fc22f106b
[ "MIT" ]
null
null
null
class DataClassFile(): def functionName1(self): """ One Function (without parameters) with one test function (with single line comments) where the documentation had not been generated. """ say = "say" fu = "fu" return say + " " + fu
35.5
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823e899aecf5881c99e791fd7099ceb1404c2f55
418
py
Python
tests/test_api.py
pinntech/pinn-python
d7d3f2d2a4cdc3eb01ae85a117c0e3d8bc1732bd
[ "MIT" ]
2
2019-03-29T17:36:44.000Z
2021-11-20T00:05:04.000Z
tests/test_api.py
pinntech/pinn-python
d7d3f2d2a4cdc3eb01ae85a117c0e3d8bc1732bd
[ "MIT" ]
4
2020-03-24T16:52:29.000Z
2021-06-01T23:36:18.000Z
tests/test_api.py
pinntech/pinn-python
d7d3f2d2a4cdc3eb01ae85a117c0e3d8bc1732bd
[ "MIT" ]
1
2021-11-20T00:05:07.000Z
2021-11-20T00:05:07.000Z
""" :copyright: (c) 2019 Pinn Technologies, Inc. :license: MIT """ def test_import(): import pinn def test_configuration_error(): import pinn try: pinn.User.create() except pinn.errors.ConfigurationError: pass def test_authentication_error(): import pinn pinn.secret_key = 'foo' try: pinn.User.create() except pinn.errors.AuthenticationError: pass
16.076923
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418
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0.113636
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25
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412e7307ec9dcf65ea18ba353869dbba281732f1
806
py
Python
tests/core/actions/list_task_statuses/test_list_task_statuses_request.py
Himon-SYNCRAFT/taskplus
9e6293840941d0cb4fd7bac0f8ff66f8e72cc62b
[ "BSD-3-Clause" ]
null
null
null
tests/core/actions/list_task_statuses/test_list_task_statuses_request.py
Himon-SYNCRAFT/taskplus
9e6293840941d0cb4fd7bac0f8ff66f8e72cc62b
[ "BSD-3-Clause" ]
null
null
null
tests/core/actions/list_task_statuses/test_list_task_statuses_request.py
Himon-SYNCRAFT/taskplus
9e6293840941d0cb4fd7bac0f8ff66f8e72cc62b
[ "BSD-3-Clause" ]
null
null
null
from taskplus.core.actions import ListTaskStatusesRequest def test_list_user_roles_request_without_parameters(): request = ListTaskStatusesRequest() assert request.filters is None assert request.is_valid() is True def test_list_user_roles_request_with_empty_filters(): request = ListTaskStatusesRequest(filters={}) assert request.filters is None assert request.is_valid() is True def test_list_user_roles_request_with_filters(): request = ListTaskStatusesRequest(filters={'a': 1, 'b': 2}) assert request.filters == {'a': 1, 'b': 2} assert request.is_valid() is True def test_list_user_roles_request_invalid_filters(): request = ListTaskStatusesRequest(filters=5) assert request.is_valid() is False assert request.errors[0].parameter == 'filters'
26.866667
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2
4146a11ae36e37d979012bdedf5e4d1627d1f3bf
682
py
Python
pipelines/h1c/idr2/v1/bad_ants/H1C_IDR2_bad_ants.py
HERA-Team/hera_pipelines
d2b46bb494dfb020093b807445fc2095d292e898
[ "BSD-2-Clause" ]
null
null
null
pipelines/h1c/idr2/v1/bad_ants/H1C_IDR2_bad_ants.py
HERA-Team/hera_pipelines
d2b46bb494dfb020093b807445fc2095d292e898
[ "BSD-2-Clause" ]
9
2020-08-14T18:11:40.000Z
2022-03-18T17:38:03.000Z
pipelines/h1c/idr2/v1/bad_ants/H1C_IDR2_bad_ants.py
HERA-Team/hera_pipelines
d2b46bb494dfb020093b807445fc2095d292e898
[ "BSD-2-Clause" ]
null
null
null
#!/usr/bin/env python """Script for producing bad_ants text files.""" JDs = [ 2458098, 2458099, 2458101, 2458102, 2458103, 2458104, 2458105, 2458106, 2458107, 2458108, 2458109, 2458110, 2458111, 2458112, 2458113, 2458114, 2458115, 2458116, 2458140, ] always_flagged = [0, 2, 50, 98, 136] for JD in JDs: flagged = set(always_flagged) if JD == 2458114: flagged.add(11) if JD == 2458140: flagged.add(68) flagged.add(104) flagged.add(117) with open(str(JD) + ".txt", "w") as f: for bad_ant in sorted(flagged): f.write(str(bad_ant) + "\n")
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0
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2
4174c16b7b44a20c364180859943cecb67d2ec6d
447
py
Python
TWLight/applications/factories.py
jajodiaraghav/TWLight
22359ab0b95ee3653e8ffa0eb698acd7bb8ebf70
[ "MIT" ]
1
2019-10-24T04:49:52.000Z
2019-10-24T04:49:52.000Z
TWLight/applications/factories.py
jajodiaraghav/TWLight
22359ab0b95ee3653e8ffa0eb698acd7bb8ebf70
[ "MIT" ]
1
2019-03-29T15:29:45.000Z
2019-03-29T15:57:20.000Z
TWLight/applications/factories.py
jajodiaraghav/TWLight
22359ab0b95ee3653e8ffa0eb698acd7bb8ebf70
[ "MIT" ]
1
2019-09-26T14:40:27.000Z
2019-09-26T14:40:27.000Z
# -*- coding: utf-8 -*- import factory from TWLight.resources.factories import PartnerFactory from TWLight.users.factories import EditorFactory from TWLight.applications.models import Application class ApplicationFactory(factory.django.DjangoModelFactory): class Meta: model = Application strategy = factory.CREATE_STRATEGY editor = factory.SubFactory(EditorFactory) partner = factory.SubFactory(PartnerFactory)
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417b57d9a12833b40b6e93faf3fe1e15baea9076
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py
Python
dcm_anon/__main__.py
LilMit/pl-dcm_anon
084d3f902f8dae32c4ba3a1ec979ef278186062f
[ "MIT" ]
null
null
null
dcm_anon/__main__.py
LilMit/pl-dcm_anon
084d3f902f8dae32c4ba3a1ec979ef278186062f
[ "MIT" ]
null
null
null
dcm_anon/__main__.py
LilMit/pl-dcm_anon
084d3f902f8dae32c4ba3a1ec979ef278186062f
[ "MIT" ]
null
null
null
from dcm_anon.dcm_anon import dcm_anon def main(): chris_app = dcm_anon() chris_app.launch() if __name__ == "__main__": main()
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417e4e14a59f787a0882eb60937548a0683d9e66
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py
Python
app/resources/users/resources/__init__.py
admiralobvious/falcon-boilerplate
eb076ff9e1d6fb1e537b18f86d2228afbf123e19
[ "MIT" ]
34
2016-10-26T17:19:23.000Z
2020-04-30T09:12:34.000Z
app/resources/users/resources/__init__.py
admiralobvious/falcon-boilerplate
eb076ff9e1d6fb1e537b18f86d2228afbf123e19
[ "MIT" ]
2
2019-04-09T11:50:38.000Z
2019-07-05T03:31:57.000Z
app/resources/users/resources/__init__.py
admiralobvious/falcon-boilerplate
eb076ff9e1d6fb1e537b18f86d2228afbf123e19
[ "MIT" ]
12
2017-01-14T09:40:24.000Z
2020-04-16T07:40:56.000Z
import falcon from app.data.db import setup from .user import User, UserSchema from .users import Users def get_routes(app: falcon.App): db = setup() app.add_route("/users", Users(db)) app.add_route("/users/{user_id}", User(db)) app.add_route("/user.schema.json", UserSchema())
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41862d17d86e2df373c597564852dbddf775109e
1,567
py
Python
tensorflow/python/data/experimental/ops/take_while_ops.py
ashutom/tensorflow-upstream
c16069c19de9e286dd664abb78d0ea421e9f32d4
[ "Apache-2.0" ]
8
2021-08-03T03:57:10.000Z
2021-12-13T01:19:02.000Z
tensorflow/python/data/experimental/ops/take_while_ops.py
CaptainGizzy21/tensorflow
3457a2b122e50b4d44ceaaed5a663d635e5c22df
[ "Apache-2.0" ]
17
2021-08-12T19:38:42.000Z
2022-01-27T14:39:35.000Z
tensorflow/python/data/experimental/ops/take_while_ops.py
CaptainGizzy21/tensorflow
3457a2b122e50b4d44ceaaed5a663d635e5c22df
[ "Apache-2.0" ]
4
2022-01-13T11:23:44.000Z
2022-03-02T11:11:42.000Z
# Copyright 2019 The TensorFlow 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. # ============================================================================== """take-while dataset transformation.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function from tensorflow.python.util import deprecation from tensorflow.python.util.tf_export import tf_export @deprecation.deprecated(None, "Use `tf.data.Dataset.take_while(...)") @tf_export("data.experimental.take_while") def take_while(predicate): """A transformation that stops dataset iteration based on a `predicate`. Args: predicate: A function that maps a nested structure of tensors (having shapes and types defined by `self.output_shapes` and `self.output_types`) to a scalar `tf.bool` tensor. Returns: A `Dataset` transformation function, which can be passed to `tf.data.Dataset.apply`. """ def _apply_fn(dataset): return dataset.take_while(predicate=predicate) return _apply_fn
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4187de5950df159828a7772938f462e9332f2e53
526
py
Python
ustack_etl/mongo.py
ustudio/ustack-etl
ae0c3104178109cd12ca395122ab12aae72e365a
[ "MIT" ]
1
2019-06-28T16:09:09.000Z
2019-06-28T16:09:09.000Z
ustack_etl/mongo.py
ustudio/ustack-etl
ae0c3104178109cd12ca395122ab12aae72e365a
[ "MIT" ]
null
null
null
ustack_etl/mongo.py
ustudio/ustack-etl
ae0c3104178109cd12ca395122ab12aae72e365a
[ "MIT" ]
null
null
null
import logging def etl_collection(mongo_db, collection_name, fn): documents = mongo_db[collection_name].find() count = mongo_db[collection_name].count_documents({}) logging.info( f"Processing {count} documents in collection " f"'{collection_name}'") for document in documents: try: fn(document) except Exception: logging.exception( "Error processing document in collection " f"'{collection_name}': {document['_id']}")
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418f86a801fe05cec1886299103a277fc6c78c68
30,694
py
Python
plot_results.py
freedmanlab/Context-Dependent-Gating
14c6ba0f9ab840a43e236e6a7ca536cc97240ffc
[ "Apache-2.0" ]
null
null
null
plot_results.py
freedmanlab/Context-Dependent-Gating
14c6ba0f9ab840a43e236e6a7ca536cc97240ffc
[ "Apache-2.0" ]
null
null
null
plot_results.py
freedmanlab/Context-Dependent-Gating
14c6ba0f9ab840a43e236e6a7ca536cc97240ffc
[ "Apache-2.0" ]
null
null
null
import numpy as np import matplotlib.pyplot as plt import pickle import os import matplotlib from itertools import product from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes from mpl_toolkits.axes_grid1.inset_locator import mark_inset matplotlib.rcParams['pdf.fonttype'] = 42 matplotlib.rcParams['ps.fonttype'] = 42 plt.rcParams["font.family"] = "arial" def plot_fig2_new(): #savedir = './savedir/mnist/' savedir = '/media/masse/MySSDataStor1/Context-Dependent Gating/Final MNIST/' savedir1 = '/media/masse/MySSDataStor1/Context-Dependent Gating/Final MNIST/' all_same_scale = True f, ax1 = plt.subplots(1,1,figsize=(4,2.5)) accuracy = {} ylim_min = 0.6 # Figure 2A # Plotting: SI, EWC, base # No dropout on input layer base = 'mnist_no_stabilization' EWC = 'mnist_EWC' SI = 'mnist_SI' XdG = 'mnist_nostab' #SI= 'neurons_InpDO_mnist_SI' b1 = plot_best_result(ax1, savedir + 'Baseline/', base, col=[0,0,0], label='Base') b2 = plot_best_result(ax1, savedir + 'EWC Fixed/', EWC, col=[0,1,0], label='EWC') b3 = plot_best_result(ax1, savedir + 'SI/', SI, col=[1,0,1], label='SI') b4 = plot_best_result(ax1, savedir + 'XdG/', XdG, col=[0,0,0], label='XdG',linestyle='--') SI_TD = 'neurons_InpDO_mnist_SI' EWC_TD = 'neurons_InpDO_mnist_EWC' b5 = plot_best_result(ax1, savedir + 'SI XdG/', SI_TD, col=[1,0,1], label='SI+XdG',linestyle='--') b6 = plot_best_result(ax1, savedir + 'EWC XdG/', EWC_TD, col=[0,1,0], label='EWC+XdG',linestyle='--') accuracy['base'] = b1 accuracy['EWC'] = b2 accuracy['SI'] = b3 accuracy['XdG'] = b4 accuracy['SI_XdG'] = b5 accuracy['EWC_XdG'] = b6 ax1.legend(ncol=3, fontsize=9) ax1.grid(True) ax1.set_xlim(0,100) add_subplot_details(ax1, [ylim_min,1],[0,100],[]) plt.tight_layout() plt.savefig('Figure2.pdf', format='pdf') plt.show() f, (ax1, ax2) = plt.subplots(2,1,figsize=(4,6)) ylim_min = 0.85 b5 = plot_best_result(ax1, savedir + 'SI XdG/', SI_TD, col=[1,0,1], label='SI+XdG',linestyle='--') b6 = plot_best_result(ax1, savedir + 'EWC XdG/', EWC_TD, col=[0,1,0], label='EWC+XdG',linestyle='--') SI_TDP = 'mnist_SI_rule' EWC_TDP = 'mnist_EWC_rule' b1 = plot_best_result(ax1, savedir + 'SI Rule/', SI_TDP, col=[1,0,1], label='SI+Partial') b3 = plot_best_result(ax1, savedir + 'EWC Rule/', EWC_TDP, col=[0,1,0], label='EWC+Partial') accuracy['SI_Rule'] = b1 accuracy['EWC_Rule'] = b3 SI_TDPS = 'mnist_SI_split_rule' EWC_TDPS = 'mnist_EWC_rule_split' b2 = plot_best_result(ax2, savedir + 'SI Rule Split/', SI_TDPS, col=[1,0,1], label='Split SIRule') b4 = plot_best_result(ax2, savedir + 'EWC Rule Split/', EWC_TDPS, col=[0,1,0],label='Split EWC+Rule') b5 = plot_best_result(ax2, savedir + 'SI XdG/', SI_TD, col=[1,0,1], label='SI+XdG',linestyle='--') b6 = plot_best_result(ax2, savedir + 'EWC XdG/', EWC_TD, col=[0,1,0], label='EWC+XdG',linestyle='--') accuracy['SI_Rule_Split'] = b1 accuracy['EWC_Rule_Split'] = b4 ax1.legend(ncol=3, fontsize=9) ax1.grid(True) ax1.set_xlim(0,100) add_subplot_details(ax1, [ylim_min,1],[0,100],[]) ax2.legend(ncol=3, fontsize=9) ax2.grid(True) ax2.set_xlim(0,100) add_subplot_details(ax2, [ylim_min,1],[0,100],[]) plt.tight_layout() plt.savefig('Figure2_control.pdf', format='pdf') plt.show() """ # Figure 2B # Plotting: SI+TD Partial, SI, EWC+TD Partial, EWC # No dropout on input layer b2 = plot_best_result(ax2, savedir + 'SI/', SI, col=[1,0,1], label='SI') b4 = plot_best_result(ax2, savedir + 'EWC Fixed/', EWC, col=[0,1,0], label='EWC') b1 = plot_best_result(ax2, savedir + 'SI Rule/', SI_TDP, col=[1,0,1], label='SI+Partial',linestyle='--') b3 = plot_best_result(ax2, savedir + 'EWC Rule/', EWC_TDP, col=[0,1,0], label='EWC+Partial',linestyle='--') accuracy['SI_Partial'] = b1 accuracy['EWC_Partial'] = b3 ax2.legend(ncol=2, fontsize=9) ax2.grid(True) ax2.set_xlim(0,100) add_subplot_details(ax2, [ylim_min,1],[0,100],[]) # Figure 2C # Plotting: SI+TD Partial Split, SI+TD Partial, EWC+TD Partial, EWC+TD Partial Split # Dropout irrelevant? SI_TDPS = 'mnist_SI_split_rule' EWC_TDPS = 'split_InpDO_mnist_EWC' b1 = plot_best_result(ax3, savedir + 'SI Rule/', SI_TDP, col=[1,0,1], label='SI+Partial',linestyle='--') b3 = plot_best_result(ax3, savedir + 'EWC Rule/', EWC_TDP, col=[0,1,0], label='EWC+Partial',linestyle='--') b2 = plot_best_result(ax3, savedir + 'SI Rule Split/', SI_TDPS, col=[1,0,1], label='Split SI+Partial') b4 = plot_best_result(ax3, savedir + 'EWC Split/', EWC_TDPS, col=[0,1,0],label='Split EWC+Partial') accuracy['SI_Split'] = b2 accuracy['EWC_Split'] = b4 ax3.legend(ncol=2, fontsize=9) ax3.grid(True) ax3.set_xlim(0,100) add_subplot_details(ax3, [ylim_min,1],[0,100],[]) # Figure 2D # Plotting: SI+TD Partial Split, SI+TD Full, EWC+TD Full, EWC+TD Partial Split # Dropout irrelevant? SI_TD = 'neurons_InpDO_mnist_SI' EWC_TD = 'neurons_InpDO_mnist_EWC' b2 = plot_best_result(ax4, savedir + 'SI Rule Split/', SI_TDPS, col=[1,0,1], label='Split SI++Partial') b4 = plot_best_result(ax4, savedir + 'EWC Split/', EWC_TDPS, col=[0,1,0],label='Split EWC++Partial') b1 = plot_best_result(ax4, savedir + 'SI XdG/', SI_TD, col=[1,0,1], label='SI+XdG',linestyle='--') b3 = plot_best_result(ax4, savedir + 'EWC XdG/', EWC_TD, col=[0,1,0], label='EWC+XdG',linestyle='--') accuracy['SI_XdG'] = b1 accuracy['EWC_XdG'] = b3 ax4.grid(True) ax4.set_xlim(0,100) add_subplot_details(ax4, [ylim_min,1],[0,100],[]) ax4.legend(ncol=2, fontsize=9) """ for k, v in accuracy.items(): print(k, ' = ', v) def plot_RNN_fig(): savedir = '/home/masse/Short-term-plasticity-RNN/savedir/CL3/' all_same_scale = True f, ax1 = plt.subplots(1,1,figsize=(4,3)) # Figure 2A # Plotting: SI, EWC, base # No dropout on input layer SI = 'RNN_CL_SI_short_h500_gating0' SI_TD = 'RNN_CL_SI_short_h500_gating75' b0 = plot_best_result(ax1, savedir, SI, col=[0,0,1], label='SI') b1 = plot_best_result(ax1, savedir, SI_TD, col=[0,1,0], label='SI+TD Full') print('A: ', b0 , b1) ax1.legend(ncol=3, fontsize=9) ax1.grid(True) ax1.set_xlim(0,17) add_subplot_details(ax1, [0.5,1],[0,25],[]) ax1.set_xticks([4,8,12,16,20,24]) plt.tight_layout() plt.savefig('Figure_ONR.pdf', format='pdf') plt.show() def plot_ONR_fig1(): savedir = './savedir/mnist/' all_same_scale = True f, (ax1,ax2) = plt.subplots(2,1,figsize=(3,6)) # Figure 2A # Plotting: SI, EWC, base # No dropout on input layer #base = 'mnist_no_stabilization' EWC = 'mnist_EWC' SI = 'mnist_SI' SI_TD = 'neurons_InpDO_mnist_SI' EWC_TD = 'neurons_InpDO_mnist_EWC' b3 = plot_best_result(ax1, savedir, SI, col=[0,0,1], label='SI') b2 = plot_best_result(ax1, savedir, EWC, col=[1,0,0], label='EWC') b5 = plot_best_result(ax1, savedir, EWC_TD, col=[1,0,1], label='EWC+TD Full',linestyle='--') b4 = plot_best_result(ax1, savedir, SI_TD, col=[0,1,0], label='SI+TD Full') print('A: ', b2, b3, b4, b5) ax1.legend(ncol=3, fontsize=9) ax1.grid(True) ax1.set_xlim(0,100) add_subplot_details(ax1, [0.0,1],[0,100],[]) savedir = './savedir/cifar/' #base = 'cifar_no_stabilization' EWC = 'cifar_EWC' SI = 'cifar_SI' SI_TD = 'neurons_cifar_SI' EWC_TD = 'neurons_cifar_EWC' #b1 = plot_best_result(ax2, savedir, base, col=[0,0,0], label='base') b2 = plot_best_result(ax2, savedir, EWC, col=[1,0,0], label='EWC') b3 = plot_best_result(ax2, savedir, SI, col=[0,0,1], label='SI') b4 = plot_best_result(ax2, savedir, SI_TD, col=[0,1,0], label='SI+TD Full') b5 = plot_best_result(ax2, savedir, EWC_TD, col=[1,0,1], label='EWC+TD Full',linestyle='--') print('B: ', b2, b3, b4, b5) ax2.legend(ncol=3, fontsize=9) ax2.grid(True) add_subplot_details(ax2, ylim = [0,1], xlim = [0,20]) plt.tight_layout() plt.savefig('Figure_ONR.pdf', format='pdf') plt.show() def plot_fig3(): savedir = './savedir/mnist/' all_same_scale = True f, ax1 = plt.subplots(1,1,figsize=(4,3)) accuracy = {} # Figure 2A # Plotting: SI, EWC, base # No dropout on input layer SI_5 = 'neurons_InpDO_mnist_SI' SI_2 = 'neurons_InpDO_mnist_SI_1of2' SI_3 = 'neurons_InpDO_mnist_SI_1of3' SI_4 = 'neurons_InpDO_mnist_SI_1of4' SI_6 = 'neurons_InpDO_mnist_SI_1of6' #SI= 'neurons_InpDO_mnist_SI' b1 = plot_best_result(ax1, savedir, SI_2, col=[1,0,0], label='SI_2') b2 = plot_best_result(ax1, savedir, SI_3, col=[0,0,1], label='SI_3') b3 = plot_best_result(ax1, savedir, SI_4, col=[0,1,0], label='SI_4') b4 = plot_best_result(ax1, savedir, SI_5, col=[0,0,0], label='SI_5') b5 = plot_best_result(ax1, savedir, SI_6, col=[1,0,1], label='SI_6') accuracy['SI_2'] = b1 accuracy['SI_3'] = b2 accuracy['SI_4'] = b3 accuracy['SI_5'] = b4 accuracy['SI_6'] = b5 ax1.legend(ncol=3, fontsize=9) ax1.grid(True) ax1.set_xlim(0,500) add_subplot_details(ax1, [0.9,1],[0,100],[]) plt.tight_layout() plt.savefig('Figure3.pdf', format='pdf') plt.show() for k, v in accuracy.items(): print(k , ' = ', v) def plot_fig4(): savedir = '/home/masse/Spin-TD-Network/savedir/mnist/500perms/' all_same_scale = True f, ax1 = plt.subplots(1,1,figsize=(4,3)) accuracy = {} # Figure 2A # Plotting: SI, EWC, base # No dropout on input layer SI = 'mnist_SI_500perms' SI_XCG = 'neurons_InpDO_mnist_SI_500perms' #SI= 'neurons_InpDO_mnist_SI' b1 = plot_best_result(ax1, savedir, SI, col=[0,0,1], label='SI') b2 = plot_best_result(ax1, savedir, SI_XCG, col=[1,0,0], label='SI_XCG') accuracy['SI'] = b1 accuracy['SI XdG'] = b2 ax1.legend(ncol=3, fontsize=9) ax1.grid(True) ax1.set_xlim(0,500) add_subplot_details(ax1, [0.5,1],[0,500],[]) plt.tight_layout() plt.savefig('Figure4_v3.pdf', format='pdf') plt.show() for k, v in accuracy.items(): print(k , ' = ', v) def plot_fig2(): #savedir = './savedir/mnist/' savedir = '/media/masse/MySSDataStor1/Context-Dependent Gating/Final MNIST/' savedir1 = '/media/masse/MySSDataStor1/Context-Dependent Gating/Final MNIST/' all_same_scale = True f, ((ax1,ax2),(ax3,ax4)) = plt.subplots(2,2,figsize=(8,6)) accuracy = {} ylim_min = 0.6 # Figure 2A # Plotting: SI, EWC, base # No dropout on input layer base = 'mnist_no_stabilization' EWC = 'mnist_EWC' SI = 'mnist_SI' #SI= 'neurons_InpDO_mnist_SI' b3 = plot_best_result(ax1, savedir + 'SI/', SI, col=[1,0,1], label='SI') b1 = plot_best_result(ax1, savedir + 'Baseline/', base, col=[0,0,0], label='Base') b2 = plot_best_result(ax1, savedir + 'EWC Fixed/', EWC, col=[0,1,0], label='EWC') accuracy['base'] = b1 accuracy['EWC'] = b2 accuracy['SI'] = b3 ax1.legend(ncol=3, fontsize=9) ax1.grid(True) ax1.set_xlim(0,100) add_subplot_details(ax1, [ylim_min,1],[0,100],[]) # Figure 2B # Plotting: SI+TD Partial, SI, EWC+TD Partial, EWC # No dropout on input layer SI_TDP = 'mnist_SI_rule' EWC_TDP = 'mnist_EWC_rule' b2 = plot_best_result(ax2, savedir + 'SI/', SI, col=[1,0,1], label='SI') b4 = plot_best_result(ax2, savedir + 'EWC Fixed/', EWC, col=[0,1,0], label='EWC') b1 = plot_best_result(ax2, savedir + 'SI Rule/', SI_TDP, col=[1,0,1], label='SI+Partial',linestyle='--') b3 = plot_best_result(ax2, savedir + 'EWC Rule/', EWC_TDP, col=[0,1,0], label='EWC+Partial',linestyle='--') accuracy['SI_Partial'] = b1 accuracy['EWC_Partial'] = b3 ax2.legend(ncol=2, fontsize=9) ax2.grid(True) ax2.set_xlim(0,100) add_subplot_details(ax2, [ylim_min,1],[0,100],[]) # Figure 2C # Plotting: SI+TD Partial Split, SI+TD Partial, EWC+TD Partial, EWC+TD Partial Split # Dropout irrelevant? SI_TDPS = 'mnist_SI_split_rule' EWC_TDPS = 'split_InpDO_mnist_EWC' b1 = plot_best_result(ax3, savedir + 'SI Rule/', SI_TDP, col=[1,0,1], label='SI+Partial',linestyle='--') b3 = plot_best_result(ax3, savedir + 'EWC Rule/', EWC_TDP, col=[0,1,0], label='EWC+Partial',linestyle='--') b2 = plot_best_result(ax3, savedir + 'SI Rule Split/', SI_TDPS, col=[1,0,1], label='Split SI+Partial') b4 = plot_best_result(ax3, savedir + 'EWC Split/', EWC_TDPS, col=[0,1,0],label='Split EWC+Partial') accuracy['SI_Split'] = b2 accuracy['EWC_Split'] = b4 ax3.legend(ncol=2, fontsize=9) ax3.grid(True) ax3.set_xlim(0,100) add_subplot_details(ax3, [ylim_min,1],[0,100],[]) # Figure 2D # Plotting: SI+TD Partial Split, SI+TD Full, EWC+TD Full, EWC+TD Partial Split # Dropout irrelevant? SI_TD = 'neurons_InpDO_mnist_SI' EWC_TD = 'neurons_InpDO_mnist_EWC' XdG = 'mnist_nostab' #b2 = plot_best_result(ax4, savedir + 'SI Rule Split/', SI_TDPS, col=[1,0,1], label='Split SI++Partial') #b4 = plot_best_result(ax4, savedir + 'EWC Split/', EWC_TDPS, col=[0,1,0],label='Split EWC++Partial') b3 = plot_best_result(ax4, savedir + 'SI/', SI, col=[1,0,1], label='SI') b2 = plot_best_result(ax4, savedir + 'EWC Fixed/', EWC, col=[0,1,0], label='EWC') b1 = plot_best_result(ax4, savedir + 'SI XdG/', SI_TD, col=[1,0,1], label='SI+XdG',linestyle='--') b3 = plot_best_result(ax4, savedir + 'EWC XdG/', EWC_TD, col=[0,1,0], label='EWC+XdG',linestyle='--') b5 = plot_best_result(ax4, savedir + 'XdG/', XdG, col=[0,0,0], label='XdG',linestyle='--') accuracy['SI_XdG'] = b1 accuracy['EWC_XdG'] = b3 accuracy['XdG'] = b5 ax4.grid(True) ax4.set_xlim(0,100) add_subplot_details(ax4, [ylim_min,1],[0,100],[]) ax4.legend(ncol=2, fontsize=9) plt.tight_layout() plt.savefig('Figure2.pdf', format='pdf') plt.show() for k, v in accuracy.items(): print(k, ' = ', v) def mnist_table(): savedir = './savedir/perm_mnist/archive' base = 'mnist_n2000_no_stabilization' # archive1 SI = 'perm_mnist_n2000_d1_no_topdown' # archive0 EWC = 'mnist_n2000_EWC' # archive1 SI_TDP = 'perm_mnist_n2000_d1_bias' # archive0 EWC_TDP = 'perm_mnist_n2000_d1_EWC_bias' # archive1 SI_TDPS = 'mnist_n2000_pathint_split_oc' # archive2 EWC_TDPS = 'mnist_n2000_EWC_split_oc' # archive2 SI_TDF = 'perm_mnist_n2000_d1_1of5' # archive0 EWC_TDF = 'perm_mnist_n2000_d1_EWC_1of5' # archive1 archs = [1,0,1,0,1,2,2,0,1] names = ['Base', 'SI', 'EWC', 'SI + Partial', 'EWC + Partial', \ 'SI + Partial + Split', 'EWC + Partial + Split',\ 'SI + Full', 'EWC + Full'] locs = [base, SI, EWC, SI_TDP, EWC_TDP, SI_TDPS, EWC_TDPS, SI_TDF, EWC_TDF] with open('mnist_table_data.tsv', 'w') as f: f.write('Name\tC\tT1\tT10\tT20\tT50\tT100\n') for a, s, n in zip(archs, locs, names): c_opt, acc = retrieve_best_result(savedir+str(a)+'/', s) f.write(n + '\t' + str(c_opt) + '\t' + str(acc[0]) + '\t' + str(acc[9]) + '\t' + str(acc[19]) + '\t' + str(acc[49]) + '\t' + str(acc[99]) + '\n') def cifar_table(): savedir = './savedir/cifar_no_multihead/' base = 'cifar_n1000_no_stabilization' SI = 'cifar_n1000_pathint' EWC = 'cifar_n1000_EWC' SI_TDP = 'cifar_n1000_partial_pathint' EWC_TDP = 'cifar_n1000_partial_EWC' SI_TDPS = 'cifar_n1164_split_pathint' EWC_TDPS = 'cifar_n1164_split_EWC' SI_TDF = 'cifar_n1000_full_pathint' EWC_TDF = 'cifar_n1000_full_EWC' names = ['Base', 'SI', 'EWC', 'SI + Partial', 'EWC + Partial', \ 'SI + Partial + Split', 'EWC + Partial + Split',\ 'SI + Full', 'EWC + Full'] locs = [base, SI, EWC, SI_TDP, EWC_TDP, SI_TDPS, EWC_TDPS, SI_TDF, EWC_TDF] with open('cifar_table_data.tsv', 'w') as f: f.write('Name\tC\tT1\tT10\tT20\n') for s, n in zip(locs, names): c_opt, acc = retrieve_best_result(savedir, s) f.write(n + '\t' + str(c_opt) + '\t' + str(acc[0]) + '\t' + str(acc[9]) + '\t' + str(acc[19]) + '\n') def fig2_inset(): f, ax = plt.subplots(1,1) # Figure 2D # Plotting: SI+TD Partial Split, SI+TD Full, EWC+TD Full, EWC+TD Partial Split # Dropout irrelevant? SI_TD = 'perm_mnist_n2000_d1_1of5' SI_TDPS = 'mnist_n2000_pathint_split_oc' EWC_TD = 'perm_mnist_n2000_d1_EWC_1of5' EWC_TDPS = 'mnist_n2000_EWC_split_oc' b2 = plot_best_result(ax, './savedir/perm_mnist/archive2/', SI_TDPS, col=[0.7,0.7,0], label='Split SI+TD Par.') b4 = plot_best_result(ax, './savedir/perm_mnist/archive2/', EWC_TDPS, col=[0.7,0.7,0.7],label='Split EWC+TD Par.') b1 = plot_best_result(ax, './savedir/perm_mnist/archive0/', SI_TD, col=[0,0,1], label='SI+TD Full') b3 = plot_best_result(ax, './savedir/perm_mnist/archive1/', EWC_TD, col=[0,1,0], label='EWC+TD Full') ax.grid(True) ax.set_yticks([0.85,0.90,0.95,1.0]) ax.set_xlim(0,100) add_subplot_details(ax, [0.85,1],[]) plt.tight_layout() plt.show() def plot_fig5(): savedir = '/home/masse/Context-Dependent-Gating/savedir/ImageNet/' savedir1 = '/media/masse/MySSDataStor1/Context-Dependent Gating/Final ImageNet/' f, ((ax1,ax2),(ax3,ax4)) = plt.subplots(2,2,figsize=(8,6)) accuracy = {} # Figure 5A # Plotting: SI, EWC, base # No dropout on input layer base = 'imagenet_base_omega' EWC = 'ImageNet_EWC_omega' SI = 'imagenet_SI_omega' base_MH = 'imagenet_baseMH_' EWC_MH = 'ImageNet_EWC_MH_omega' SI_MH = 'imagenet_SI_MH_' b1 = plot_best_result(ax1, savedir, base, col=[0,0,0], label='base') b2 = plot_best_result(ax1, savedir1+'EWC/', EWC, col=[0,1,0], label='EWC') b3 = plot_best_result(ax1, savedir, SI, col=[1,0,1], label='SI') b4 = plot_best_result(ax1, savedir, base_MH, col=[0,0,0], label='base MH', linestyle='--') b5 = plot_best_result(ax1, savedir1+'EWC MH/', EWC_MH, col=[0,1,0], label='EWC MH', linestyle='--') b6 = plot_best_result(ax1, savedir, SI_MH, col=[1,0,1], label='SI MH', linestyle='--') accuracy['base'] = b1 accuracy['EWC'] = b2 accuracy['SI'] = b3 accuracy['base_MH'] = b4 accuracy['EWC_MH'] = b5 accuracy['SI_MH'] = b6 print('A ', b1,b2,b3,b4,b5,b6) ax1.legend(ncol=3, fontsize=9) ax1.grid(True) add_subplot_details(ax1, ylim = [0,1], xlim = [0,100]) # Figure 3B2 # Plotting: SI+TD Partial, SI, EWC+TD Partial, EWC # No dropout on input layer SI_TDP = 'ImageNet_SI_rule_' EWC_TDP = 'ImageNet_EWC_rule_' # InpDO was a typo, not actually using drop out on iputs b2 = plot_best_result(ax2, savedir, SI, col=[1,0,1], label='SI') b4 = plot_best_result(ax2, savedir1+'EWC/', EWC, col=[0,1,0], label='EWC') b1 = plot_best_result(ax2, savedir1+'SI Rule/', SI_TDP, col=[1,0,1], label='SI+Partial', linestyle='--') b3 = plot_best_result(ax2, savedir1+'EWC Rule/', EWC_TDP, col=[0,1,0], label='EWC+Partal', linestyle='--') accuracy['SI Partial'] = b1 accuracy['EWC Partial'] = b3 ax2.set_xlim(0,100) ax2.legend(ncol=2, fontsize=9) ax2.grid(True) add_subplot_details(ax2, ylim = [0,1], xlim = [0,100]) # Figure 3C # Plotting: SI+TD Partial Split, SI+TD Partial, EWC+TD Partial, EWC+TD Partial Split # Dropout irrelevant? SI_TDPS = 'ImageNet_SI_rule_split_' EWC_TDPS = 'ImageNet_EWC_rule_split_' b1 = plot_best_result(ax3, savedir1+'SI Rule Split/', SI_TDP, col=[1,0,1], label='Split SI+TD Partial') b3 = plot_best_result(ax3, savedir1+'EWC Rule/', EWC_TDP, col=[0,1,0], label='EWC+Partal', linestyle='--') b2 = plot_best_result(ax3, savedir1+'SI Rule/', SI_TDP, col=[1,0,1], label='SI+Partial', linestyle='--') b4 = plot_best_result(ax3, savedir1+'EWC Rule Split/', EWC_TDPS, col=[0,1,0],label='Split EWC+Partial') accuracy['SI Split'] = b1 accuracy['EWC Split'] = b4 ax3.set_xlim(0,100) ax3.legend(ncol=2, fontsize=9) ax3.grid(True) add_subplot_details(ax3, ylim = [0,1], xlim = [0,100]) # Figure 3D # Plotting: SI+TD Partial Split, SI+TD Full, EWC+TD Full, EWC+TD Partial Split # Dropout irrelevant? SI_TD = 'ImageNet_SI_XdG_' EWC_TD = 'ImageNet_EWC_XdG_' XdG = 'imagenet_nostab' #b2 = plot_best_result(ax4, savedir1+'SI Rule Split/', SI_TDP, col=[1,0,1], label='Split SI+TD Partial') #b4 = plot_best_result(ax4, savedir1+'EWC Rule Split/', EWC_TDPS, col=[0,1,0],label='Split EWC+Partial') b2 = plot_best_result(ax4, savedir1+'EWC/', EWC, col=[0,1,0], label='EWC') b3 = plot_best_result(ax4, savedir, SI, col=[1,0,1], label='SI') b1 = plot_best_result(ax4, savedir1+'EWC XdG/', EWC_TD, col=[0,1,0],label='EWC+XdG', linestyle='--') b3 = plot_best_result(ax4, savedir1+'SI XdG/', SI_TD, col=[1,0,1],label='SI+XdG', linestyle='--') b5 = plot_best_result(ax4, savedir1+'XdG/', XdG, col=[0,0,0],label='SI+XdG', linestyle='--') accuracy['SI XdG'] = b3 accuracy['EWC XdG'] = b1 accuracy['XdG'] = b5 ax4.set_xlim(0,100) ax4.legend(ncol=2, fontsize=9) ax4.grid(True) add_subplot_details(ax4, ylim = [0,1], xlim = [0,100]) plt.tight_layout() plt.savefig('Figure3.pdf', format='pdf') plt.show() for k, v in accuracy.items(): print(k , ' = ', v) def plot_fig5B(): savedir = '/home/masse/Context-Dependent-Gating/savedir/ImageNet/' f, ax4 = plt.subplots(1,1,figsize=(8,6)) accuracy = {} SI_TDPS = 'imagenet_SI_split_' EWC_TDPS = 'imagenet_EWC_split_' SI_TD = 'imagenet_SI_XdG_' EWC_TD = 'imagenet_EWC_XdG_' b2 = plot_best_result(ax4, savedir, SI_TDPS, col=[1,0,1], label='Split SI+Partial') b4 = plot_best_result(ax4, savedir, EWC_TDPS, col=[0,1,0],label='Split EWC+Partial') b1 = plot_best_result(ax4, savedir, EWC_TD, col=[0,1,0],label='EWC+XdG', linestyle='--') b3 = plot_best_result(ax4, savedir, SI_TD, col=[1,0,1],label='SI+XdG', linestyle='--') accuracy['SI XdG'] = b1 accuracy['EWC XdG'] = b3 ax4.set_xlim(0,100) ax4.legend(ncol=2, fontsize=9) ax4.grid(True) add_subplot_details(ax4, ylim = [0,1], xlim = [0,100]) plt.tight_layout() plt.savefig('Figure3.pdf', format='pdf') plt.show() def plot_ARL_fig(): savedir = '/home/masse/Context-Dependent-Gating/savedir/ImageNet/' f, ax4 = plt.subplots(1,1,figsize=(8,6)) accuracy = {} SI = 'imagenet_SI_omega' SI_TD = 'imagenet_SI_XdG_' b1 = plot_best_result(ax4, savedir, SI, col=[0,0,1], label='SI') b2 = plot_best_result(ax4, savedir, SI_TD, col=[1,0,0],label='SI+XdG') accuracy['SI'] = b1 accuracy['SI_XdG'] = b2 ax4.set_xlim(0,100) ax4.legend(ncol=2, fontsize=9) ax4.grid(True) add_subplot_details(ax4, ylim = [0,0.7], xlim = [0,100]) plt.tight_layout() plt.savefig('Figure_ARL.pdf', format='pdf') plt.show() def plot_mnist_figure(): f = plt.figure(figsize=(6,2.5)) # SI only, no top-down SI_fn = 'perm_mnist_n2000_d1_no_topdown_omega' # SI only + top-down SI_td_fn = 'perm_mnist_n2000_d1_bias_omega' # SI only + split in 5 + top-down SI_split_fn = 'perm_mnist_n735_d1_bias_20tasks' # SI + INH TD, selecting one out of 4 SI_inh_td4_fn = 'perm_mnist_n2000_d1_1of4_omega' # SI + INH TD, selecting one out of 5 SI_inh_td5_fn = 'perm_mnist_n2000_d1_1of5_omega' # SI + INH TD, selecting one out of 6 SI_inh_td6_fn = 'perm_mnist_n2000_d1_1of6_omega' # SI + INH TD, selecting one out of 3 SI_inh_td3_fn = 'perm_mnist_n2000_d1_1of3_omega' # SI + INH TD, selecting one out of 2 SI_inh_td2_fn = 'perm_mnist_n2000_d1_1of2_omega' ax = f.add_subplot(1, 2, 1) plot_best_result(ax, data_dir, SI_fn, col = [0,0,1], description = 'SI only') plot_best_result(ax, data_dir, SI_td_fn, col = [1,0,0]) plot_best_result(ax, data_dir, SI_split_fn, col = [0,1,0], split = 5) plot_best_result(ax, data_dir, SI_inh_td5_fn, col = [1,0,1], description = 'SI + TD date 80%') add_subplot_details(ax, [0.8, 1],[0.85, 0.9,0.95]) ax = f.add_subplot(1, 2, 2) plot_best_result(ax, data_dir, SI_inh_td5_fn, col = [1,0,1]) plot_best_result(ax, data_dir, SI_inh_td4_fn, col = [0,1,0]) plot_best_result(ax, data_dir, SI_inh_td6_fn, col = [0,0,1], description = 'SI + TD date 86.67%') plot_best_result(ax, data_dir, SI_inh_td3_fn, col = [0,1,1]) plot_best_result(ax, data_dir, SI_inh_td2_fn, col = [0,0,0]) add_subplot_details(ax, [0.9, 1], [0.95]) plt.tight_layout() plt.savefig('Fig1.pdf', format='pdf') plt.show() def add_subplot_details(ax, ylim = [0,1], xlim = [0,100],yminor = []): d = ylim[1] - ylim[0] ax.spines['right'].set_visible(False) ax.spines['top'].set_visible(False) ax.xaxis.set_ticks_position('bottom') ax.yaxis.set_ticks_position('left') ax.set_ylim([ylim[0], ylim[1]]) for i in yminor: ax.plot([0,100],[i,i],'k--') ax.set_xlim([xlim[0], xlim[1]]) ax.set_ylabel('Mean task accuracy') ax.set_xlabel('Task number') def plot_best_result(ax, data_dir, prefix, col = [0,0,1], split = 1, description = [], label=None, linestyle = '-'): # Get filenames name_and_data = [] for full_fn in os.listdir(data_dir): if full_fn.startswith(prefix): x = pickle.load(open(data_dir + full_fn, 'rb')) name_and_data.append((full_fn, x['accuracy_full'][-1], x['par']['omega_c'])) if prefix == 'mnist_SI_rule': print('mnist_STI_rule') print(name_and_data) print(os.listdir(data_dir)) print(data_dir) print('XXXX') # Find number of c's and v's cids = [] vids = [] xids = [] om_c = [] for (f, _, oc) in name_and_data: if 'xi' in f: if f[-12] not in cids: cids.append(f[-12]) if f[-8] not in xids: xids.append(f[-8]) if f[-5] not in vids: vids.append(f[-5]) else: if f[-9].isdigit(): c = f[-9:-7] else: c = f[-8] if c not in cids: cids.append(c) if f[-5] not in vids: vids.append(f[-5]) xids = [0] om_c.append(oc) accuracies = np.zeros((len(xids),len(cids))) count = np.zeros((len(xids),len(cids))) cids = sorted(cids) vids = sorted(vids) xids = sorted(xids) print(prefix, cids, vids, xids) for i, c_id, in enumerate(cids): for v_id in vids: for j, x_id in enumerate(xids): #text_c = 'omega'+str(c_id) text_c = 'omega'+str(c_id) text_v = '_v'+str(v_id) text_x = '_xi'+str(x_id) for full_fn in os.listdir(data_dir): if full_fn.startswith(prefix) and 'xi' in full_fn and text_c in full_fn and text_v in full_fn and text_x in full_fn: #print('c_id', c_id) x = pickle.load(open(data_dir + full_fn, 'rb')) accuracies[j,i] += x['accuracy_full'][-1] count[j,i] += 1 elif full_fn.startswith(prefix) and not 'xi' in full_fn and text_c in full_fn and text_v in full_fn: #print('c_id', c_id) x = pickle.load(open(data_dir + full_fn, 'rb')) accuracies[j,i] += x['accuracy_full'][-1] count[j,i] += 1 accuracies /= (1e-16+count) accuracies = np.reshape(accuracies,(1,-1)) print(prefix) print(accuracies) ind_best = np.argsort(accuracies)[-1] best_c = int(ind_best[-1]%len(cids)) best_xi = ind_best[-1]//len(cids) task_accuracy = [] for v_id in vids: #text_c = 'omega'+str(cids[best_c]) text_c = 'omega'+str(cids[best_c]) text_xi = 'xi'+str(xids[best_xi]) text_v = '_v'+str(v_id) print(prefix, text_c, text_xi, text_v) for full_fn in os.listdir(data_dir): if full_fn.startswith(prefix) and 'xi' in full_fn and text_c in full_fn and text_v in full_fn and text_x in full_fn: x = pickle.load(open(data_dir + full_fn, 'rb')) task_accuracy.append(x['accuracy_full']) print(prefix,' ', full_fn, ' ', x['par']['stabilization'], ' omega C ', x['par']['omega_c']) elif full_fn.startswith(prefix) and not 'xi' in full_fn and text_c in full_fn and text_v in full_fn: x = pickle.load(open(data_dir + full_fn, 'rb')) task_accuracy.append(x['accuracy_full']) print(prefix,' ', full_fn, ' ', x['par']['stabilization'], x['par']['gating_type'], x['par']['multihead'], ' omega C ', x['par']['omega_c'], x['par']['omega_xi']) task_accuracy = np.mean(np.stack(task_accuracy),axis=0) if split > 1: task_accuracy = np.array(task_accuracy) task_accuracy = np.tile(np.reshape(task_accuracy,(-1,1)),(1,split)) task_accuracy = np.reshape(task_accuracy,(1,-1))[0,:] if not description == []: print(description , ' ACC after 10 trials = ', task_accuracy[9], ' after 30 trials = ', task_accuracy[29], \ ' after 100 trials = ', task_accuracy[99]) ax.plot(np.arange(1, np.shape(task_accuracy)[0]+1), task_accuracy, color = col, linestyle = linestyle, label=label) return task_accuracy[[9,-1]] def retrieve_best_result(data_dir, fn): best_accuracy = -1 val_c = 0. for f in os.listdir(data_dir): if f.startswith(fn): x = pickle.load(open(data_dir+f, 'rb')) if x['accuracy_full'][-1] > best_accuracy: best_accuracy = x['accuracy_full'][-1] task_accuracy = x['accuracy_full'] val_c = x['par']['omega_c'] return val_c, task_accuracy
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2
4199f294a2e28e1458f5bcf7a7ab4d59791be55e
497
py
Python
back-end/curso-em-video/python3/Mundo I/Desafios/15F - (Aluguel de Carros).py
gustavocamalionti/cursos-e-linguagens
615db91aff13db5678a783aac69df11231c925e8
[ "MIT" ]
null
null
null
back-end/curso-em-video/python3/Mundo I/Desafios/15F - (Aluguel de Carros).py
gustavocamalionti/cursos-e-linguagens
615db91aff13db5678a783aac69df11231c925e8
[ "MIT" ]
null
null
null
back-end/curso-em-video/python3/Mundo I/Desafios/15F - (Aluguel de Carros).py
gustavocamalionti/cursos-e-linguagens
615db91aff13db5678a783aac69df11231c925e8
[ "MIT" ]
null
null
null
#Desafio 015: escreva um programa que pergunte a quantidade de km percorridos por um carro alugado e a quantidade de dias pelos quais ele foi alugado. Calcule o preço a pagar, sabendo que o carro custa R$60 por dia e R$0.15 por km rodado. from math import ceil n1 = float(input('Quantos dias você ficou com o carro? ')) n2 = float(input(f'Ok. já que você ficou {ceil(n1)} dias com ele, andou quantos km? ')) v = n1*60 + n2*0.15 print(f'Legal. Então você precisará pagar R${v:.2f} pelo aluguel. ')
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2
419b810a097b707c486896ea644d7ea06d891f98
499
py
Python
examples/pytorch/diffpool/model/tensorized_layers/assignment.py
ketyi/dgl
a1b859c29b63a673c148d13231a49504740e0e01
[ "Apache-2.0" ]
9,516
2018-12-08T22:11:31.000Z
2022-03-31T13:04:33.000Z
examples/pytorch/diffpool/model/tensorized_layers/assignment.py
ketyi/dgl
a1b859c29b63a673c148d13231a49504740e0e01
[ "Apache-2.0" ]
2,494
2018-12-08T22:43:00.000Z
2022-03-31T21:16:27.000Z
examples/pytorch/diffpool/model/tensorized_layers/assignment.py
ketyi/dgl
a1b859c29b63a673c148d13231a49504740e0e01
[ "Apache-2.0" ]
2,529
2018-12-08T22:56:14.000Z
2022-03-31T13:07:41.000Z
import torch from torch import nn as nn from torch.nn import functional as F from torch.autograd import Variable from model.tensorized_layers.graphsage import BatchedGraphSAGE class DiffPoolAssignment(nn.Module): def __init__(self, nfeat, nnext): super().__init__() self.assign_mat = BatchedGraphSAGE(nfeat, nnext, use_bn=True) def forward(self, x, adj, log=False): s_l_init = self.assign_mat(x, adj) s_l = F.softmax(s_l_init, dim=-1) return s_l
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0.101493
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499
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2
41a7633ddffb30cf6b1f5142c98eefc976d7f329
1,264
py
Python
comments/models.py
chench53/jquery-comments-server
15f4b3dead770846bbb7c0d6aec889c64df6387c
[ "MIT" ]
2
2020-06-02T05:08:30.000Z
2020-06-02T05:08:33.000Z
comments/models.py
chench53/jquery-comments-server
15f4b3dead770846bbb7c0d6aec889c64df6387c
[ "MIT" ]
null
null
null
comments/models.py
chench53/jquery-comments-server
15f4b3dead770846bbb7c0d6aec889c64df6387c
[ "MIT" ]
null
null
null
from django.db import models from django.utils import timezone # Create your models here. class Creator(models.Model): fullname = models.CharField(max_length=30) profile_picture_url = models.URLField() def __str__(self): return self.fullname class Customer(models.Model): pass class File(models.Model): file_url = models.URLField() file_mime_type = models.CharField(max_length=20) class Comment(models.Model): creator = models.ForeignKey(Creator, models.SET_NULL, null=True) created = models.DateTimeField(blank=True, null=True) modified = models.DateTimeField(blank=True, null=True) content = models.TextField() parent = models.ForeignKey('self', models.CASCADE, null=True, blank=True) upvote_count = models.IntegerField(default=0) def __str__(self): return '{creator}: {content}...'.format(creator=self.creator, content=self.content[:40]) class Upvote(models.Model): creator = models.ForeignKey(Creator, models.CASCADE, null=True) comment = models.ForeignKey(Comment, models.CASCADE, null=True) class Meta: unique_together = (("creator", "comment"),) def __str__(self): return '{creator} upvote {comment}'.format(creator=creator, comment=comment)
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96
0.711234
154
1,264
5.694805
0.357143
0.054732
0.034208
0.054732
0.241733
0.189282
0.107184
0
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0.006635
0.165348
1,264
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0.824645
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false
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0.107143
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2
41b54267490971fa18558b1ff581557f6e72fe91
491
py
Python
test/integration/test_attributename.py
immijimmi/managedState
cb24aaa288f7ddb12a5042d104f6f0d6ab79828c
[ "MIT" ]
null
null
null
test/integration/test_attributename.py
immijimmi/managedState
cb24aaa288f7ddb12a5042d104f6f0d6ab79828c
[ "MIT" ]
null
null
null
test/integration/test_attributename.py
immijimmi/managedState
cb24aaa288f7ddb12a5042d104f6f0d6ab79828c
[ "MIT" ]
null
null
null
from managedstate import State, AttributeName class TestAttributeName: def test_get_uses_attributename_correctly(self, res): state = State(res.value_4) assert state.get(["key_2", AttributeName("attribute_1"), "key_3"]) == 7 def test_set_applies_attributename_correctly(self, res): state = State(res.value_4) state.set("value", ["key_2", AttributeName("attribute_2")]) assert state.get(["key_2", AttributeName("attribute_2")]) == "value"
30.6875
79
0.688391
61
491
5.262295
0.409836
0.037383
0.158879
0.242991
0.635514
0.548287
0.548287
0.299065
0.299065
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0.024752
0.177189
491
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0.222222
false
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2
41b57c0d33d477d09b1dd88ceeff4ea07dbdc75c
3,585
py
Python
tarefas-poo/lista-04/matriz_de_inteiros/model/matriz_de_inteiros.py
victoriaduarte/POO_UFSC
0c65b4f26383d1e3038d8469bd91fd2c0cb98c1a
[ "MIT" ]
null
null
null
tarefas-poo/lista-04/matriz_de_inteiros/model/matriz_de_inteiros.py
victoriaduarte/POO_UFSC
0c65b4f26383d1e3038d8469bd91fd2c0cb98c1a
[ "MIT" ]
null
null
null
tarefas-poo/lista-04/matriz_de_inteiros/model/matriz_de_inteiros.py
victoriaduarte/POO_UFSC
0c65b4f26383d1e3038d8469bd91fd2c0cb98c1a
[ "MIT" ]
null
null
null
# ------------------------------- # UFSC - CTC - INE - INE5663 # Exercício da Matriz de Inteiros # ------------------------------- # Classe que representa uma matriz de números inteiros. # class MatrizDeInteiros: def __init__(self, dimensoes_ou_numeros): '''Cria uma matriz de números inteiros. Há duas formas de criar: - passando as dimensões da matriz na forma de uma tupla: (número de linhas , número de colunas) - passando os números da matriz na forma de uma lista contendo listas de números ''' if type(dimensoes_ou_numeros) is tuple: (num_linhas, num_colunas) = dimensoes_ou_numeros self._numeros = self._zeros(num_linhas, num_colunas) else: self._numeros = dimensoes_ou_numeros def _zeros(self, num_linhas, num_colunas): '''Gera uma lista de listas contendo zeros. ''' return [ [0] * num_colunas for _ in range(num_linhas)] def armazene(self, linha, coluna, numero): '''Armazena um número na matriz em uma determinada posição (linha e coluna). Atenção: a primeira linha deve ser representada por 1. O mesmo vale para a primeira coluna. ''' pass def obtenha(self, linha, coluna): '''Retorna o número que está em uma determinada posição (linha e coluna). Atenção: a primeira linha deve ser representada por 1. O mesmo vale para a primeira coluna. ''' return 8 def num_linhas(self): '''Retorna o número de linhas da matriz. ''' return 6 def num_colunas(self): '''Retorna o número de colunas da matriz. ''' return 3 def linha(self, linha): '''Retorna uma nova lista contendo os números que estão em uma linha. Atenção: a primeira linha deve ser representada por 1. ''' return [3,4,5,6] def coluna(self, coluna): '''Retorna uma nova lista contendo os números que estão em uma coluna. Atenção: a primeira coluna deve ser representada por 1. ''' return [9,8,7] def soma_de_linha(self, linha): '''Retorna a soma dos números que estão em uma linha da matriz. Atenção: a primeira linha deve ser representada por 1. ''' return 77 def soma_de_coluna(self, coluna): '''Retorna a soma dos números que estão em uma coluna da matriz. Atenção: a primeira coluna deve ser representada por 1. ''' return 56 def somas_das_linhas(self): '''Retorna uma lista contendo as somas de cada uma das linhas da matriz. ''' return [ 23, 45, 77 ] def soma_dos_numeros(self): '''Retorna a soma de todos os números da matriz. ''' return 99 def multiplique_por_fator(self, fator): '''Multiplica cada número da matriz por um outro número (fator). ''' pass def copia(self): '''Retorna uma cópia da matriz. ''' return MatrizDeInteiros([[1,2,3], [4,5,6]]) def __add__(self, outra): '''Faz a soma da matriz self com outra matriz. Retorna a matriz resultante da soma ou None quando não for possível somar. ''' return None def __mul__(self, outra): '''Faz a multiplicação da matriz self com outra matriz. Retorna a matriz resultante da multiplicação ou None quando não for possível multiplicar. ''' return None
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2
68c41f425ed9a900c2ffb53250f96b3e217dd617
507
py
Python
etsy_convos/convos/filters.py
jessehon/etsy-convos
34631f49ec745fa11611af6122a7522adc16d241
[ "BSD-3-Clause" ]
2
2018-12-17T15:47:43.000Z
2020-02-29T19:47:30.000Z
etsy_convos/convos/filters.py
jessehon/etsy-convos
34631f49ec745fa11611af6122a7522adc16d241
[ "BSD-3-Clause" ]
2
2017-07-12T02:45:33.000Z
2017-11-02T00:37:59.000Z
etsy_convos/convos/filters.py
jessehon/etsy-convos
34631f49ec745fa11611af6122a7522adc16d241
[ "BSD-3-Clause" ]
null
null
null
# -*- coding: utf-8 -*- from rest_framework import filters class ActiveForUserFilter(filters.BaseFilterBackend): def filter_queryset(self, request, queryset, view): return queryset.active_for(request.user) class ThreadFolderFilter(filters.BaseFilterBackend): def filter_queryset(self, request, queryset, view): folder = request.QUERY_PARAMS.get('folder', None) if folder is not None: queryset = queryset.folder_for(folder, request.user) return queryset
36.214286
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0.719921
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507
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2
68d3b22a58336ef88b11279b1b9195714e9a3308
350
py
Python
invoicer/_units/forms.py
mtik00/invoicer
6128202ca86823dc998b8ea661050702544b9b21
[ "MIT" ]
null
null
null
invoicer/_units/forms.py
mtik00/invoicer
6128202ca86823dc998b8ea661050702544b9b21
[ "MIT" ]
1
2021-08-04T23:32:15.000Z
2021-08-04T23:32:15.000Z
invoicer/_units/forms.py
mtik00/invoicer
6128202ca86823dc998b8ea661050702544b9b21
[ "MIT" ]
null
null
null
from flask_wtf import FlaskForm from wtforms import StringField, FloatField from wtforms.validators import DataRequired class UnitForm(FlaskForm): description = StringField(u'Description', validators=[DataRequired()]) unit_price = FloatField(u'Unit Price', validators=[DataRequired()]) units = StringField(u'Units (e.g. hr, day, etc)')
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0.762857
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350
6.463415
0.536585
0.083019
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2
68d4db48cd7efced20080ca32fe6dc3a1aa6264d
799
py
Python
data/test/python/68d4db48cd7efced20080ca32fe6dc3a1aa6264dfiles.py
harshp8l/deep-learning-lang-detection
2a54293181c1c2b1a2b840ddee4d4d80177efb33
[ "MIT" ]
84
2017-10-25T15:49:21.000Z
2021-11-28T21:25:54.000Z
data/test/python/68d4db48cd7efced20080ca32fe6dc3a1aa6264dfiles.py
vassalos/deep-learning-lang-detection
cbb00b3e81bed3a64553f9c6aa6138b2511e544e
[ "MIT" ]
5
2018-03-29T11:50:46.000Z
2021-04-26T13:33:18.000Z
data/test/python/68d4db48cd7efced20080ca32fe6dc3a1aa6264dfiles.py
vassalos/deep-learning-lang-detection
cbb00b3e81bed3a64553f9c6aa6138b2511e544e
[ "MIT" ]
24
2017-11-22T08:31:00.000Z
2022-03-27T01:22:31.000Z
from django.db import models __all__ = ('PostSaveImageField',) class PostSaveImageField(models.ImageField): def __init__(self, *args, **kwargs): kwargs['null'] = True kwargs['blank'] = True super(PostSaveImageField, self).__init__(*args, **kwargs) def contribute_to_class(self, cls, name): super(PostSaveImageField, self).contribute_to_class(cls, name) models.signals.post_save.connect(self.save_file, sender=cls) def save_file(self, sender, instance, created, **kwargs): file = super(PostSaveImageField, self).pre_save(instance, created) if file: instance.__class__.objects \ .filter(pk=instance.pk).update(**{self.attname: file.name}) def pre_save(self, model_instance, add): pass
30.730769
75
0.663329
91
799
5.538462
0.43956
0.136905
0.160714
0
0
0
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0.211514
799
25
76
31.96
0.8
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1
0.235294
false
0.058824
0.058824
0
0.352941
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null
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0
1
0
1
0
0
0
0
0
2
68f3a8745467c301c743a873cdae59b1918cd5b0
557
py
Python
personalcrm/quote/migrations/0007_auto_20210131_1508.py
carlossgv/personalcrm-repo
2fbe824a62d8976ce09817d75dfac7291ca3d28d
[ "MIT" ]
2
2021-02-11T12:46:06.000Z
2021-02-22T01:32:35.000Z
personalcrm/quote/migrations/0007_auto_20210131_1508.py
carlossgv/personalcrm-repo
2fbe824a62d8976ce09817d75dfac7291ca3d28d
[ "MIT" ]
null
null
null
personalcrm/quote/migrations/0007_auto_20210131_1508.py
carlossgv/personalcrm-repo
2fbe824a62d8976ce09817d75dfac7291ca3d28d
[ "MIT" ]
null
null
null
# Generated by Django 3.1.5 on 2021-01-31 15:08 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('quote', '0006_quotedproducts_hidden'), ] operations = [ migrations.AddField( model_name='quote', name='tax', field=models.FloatField(blank=True, null=True), ), migrations.AddField( model_name='quotedproducts', name='price', field=models.FloatField(blank=True, null=True), ), ]
23.208333
59
0.576302
56
557
5.660714
0.625
0.113565
0.14511
0.170347
0.239748
0.239748
0.239748
0
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0.049096
0.305206
557
23
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24.217391
0.770026
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0.05098
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0
0
0
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2
ec0b8833358586c61838d39b98d99d94417de4a3
460
py
Python
pycoin/symbols/mona.py
jaschadub/pycoin
1e8d0d9fe20ce0347b97847bb529cd1bd84c7442
[ "MIT" ]
1,210
2015-01-02T13:36:28.000Z
2022-03-30T00:52:22.000Z
pycoin/symbols/mona.py
impactog/pycoin
3db6f82afa3054d8d07caca4909e1aed3de2fceb
[ "MIT" ]
280
2015-01-05T23:16:47.000Z
2022-02-22T22:02:17.000Z
pycoin/symbols/mona.py
impactog/pycoin
3db6f82afa3054d8d07caca4909e1aed3de2fceb
[ "MIT" ]
459
2015-01-10T00:15:57.000Z
2022-03-16T12:04:40.000Z
from pycoin.networks.bitcoinish import create_bitcoinish_network network = create_bitcoinish_network( network_name="Monacoin", symbol="MONA", subnet_name="mainnet", wif_prefix_hex="b0", sec_prefix="MONASEC:", address_prefix_hex="32", pay_to_script_prefix_hex="37", bip32_prv_prefix_hex="0488ade4", bip32_pub_prefix_hex="0488b21e", bech32_hrp="mona", magic_header_hex="fbc0b6db", default_port=9401, dns_bootstrap=["dnsseed.monacoin.org"])
46
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0.780435
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460
5.370968
0.677419
0.135135
0.138138
0.18018
0
0
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0.066986
0.091304
460
9
104
51.111111
0.729665
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0
0
0
0
0
0
2
ec2672ae7bcadf74322cfd2f19354039f5fcb505
3,320
py
Python
src/djlime/forms/widgets.py
freshlimestudio/djlime
69e177d6e26fdf9cb520ac3316548d7d38b9690e
[ "BSD-3-Clause" ]
null
null
null
src/djlime/forms/widgets.py
freshlimestudio/djlime
69e177d6e26fdf9cb520ac3316548d7d38b9690e
[ "BSD-3-Clause" ]
null
null
null
src/djlime/forms/widgets.py
freshlimestudio/djlime
69e177d6e26fdf9cb520ac3316548d7d38b9690e
[ "BSD-3-Clause" ]
null
null
null
""" djlime.forms.widgets ~~~~~~~~~~~~~~ Extended django form widgets. :copyright: (c) 2012 by Andrey Voronov. :license: BSD, see LICENSE for more details. """ from itertools import chain from django.forms import widgets from django.forms.util import flatatt from django.utils.encoding import force_unicode from django.utils.html import conditional_escape from django.utils.safestring import mark_safe class RadioInput(widgets.RadioInput): def __init__(self, name, value, attrs, label_attrs, choice, index): self.label_attrs = label_attrs super(RadioInput, self).__init__(name, value, attrs, choice, index) def __unicode__(self): if 'id' in self.attrs: label_for = ' for="%s_%s"' % (self.attrs['id'], self.index) else: label_for = '' choice_label = conditional_escape(force_unicode(self.choice_label)) return mark_safe(u'<label %s %s>%s %s</label>' % (label_for, flatatt(self.label_attrs), self.tag(), choice_label)) class HorizontalRadioRenderer(widgets.RadioSelect.renderer): def __init__(self, name, value, attrs, label_attrs, choices): self.label_attrs = label_attrs super(HorizontalRadioRenderer, self).__init__(name, value, attrs, choices) def __iter__(self): for i, choice in enumerate(self.choices): yield RadioInput(self.name, self.value, self.attrs.copy(), self.label_attrs.copy(), choice, i) def __getitem__(self, idx): choice = self.choices[idx] # Let the IndexError propogate return RadioInput(self.name, self.value, self.attrs.copy(), self.label_attrs.copy(), choice, idx) def render(self): return mark_safe(u'\n'.join([u'%s\n' % w for w in self])) class RadioFieldRenderer(widgets.RadioFieldRenderer): def __init__(self, name, value, attrs, label_attrs, choices): self.label_attrs = label_attrs super(RadioFieldRenderer, self).__init__(name, value, attrs, choices) def __iter__(self): for i, choice in enumerate(self.choices): yield RadioInput(self.name, self.value, self.attrs.copy(), self.label_attrs.copy(), choice, i) def __getitem__(self, idx): choice = self.choices[idx] # Let the IndexError propogate return RadioInput(self.name, self.value, self.attrs.copy(), self.label_attrs.copy(), choice, idx) class RadioSelect(widgets.RadioSelect): """ RadioSelect widget with support for label attributes such is class, id """ renderer = RadioFieldRenderer def __init__(self, *args, **kwargs): label_attrs = kwargs.pop('label_attrs', {}) self.label_attrs = label_attrs super(RadioSelect, self).__init__(*args, **kwargs) def get_renderer(self, name, value, attrs=None, label_attrs=None, choices=()): """Returns an instance of the renderer.""" if value is None: value = '' str_value = force_unicode(value) # Normalize to string. final_attrs = self.build_attrs(attrs) choices = list(chain(self.choices, choices)) return self.renderer(name, str_value, final_attrs, label_attrs, choices) def render(self, name, value, attrs=None, label_attrs=None, choices=()): return self.get_renderer(name, value, attrs, self.label_attrs, choices).render()
37.727273
122
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3,320
5.096698
0.226415
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0.041647
0.415086
0.404905
0.378066
0.378066
0.36187
0.322073
0
0.001503
0.198193
3,320
87
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38.16092
0.810293
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0
0.339623
0
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0
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0.226415
false
0
0.113208
0.037736
0.54717
0
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null
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1
0
0
0
0
1
0
0
2
ec3416c60abd3578832e4a31787a9c2b8eb12e3d
873
py
Python
S8/objetos.py
Escannor/Algoritmia_21-2
284e35a040eae7aa1a0a6cb9336f0d4c2b782a48
[ "MIT" ]
1
2021-04-18T04:54:04.000Z
2021-04-18T04:54:04.000Z
S8/objetos.py
Alexship896/Algoritmia_21-2
1ffb33fc2b93899d813e67d958e437d66a39070e
[ "MIT" ]
null
null
null
S8/objetos.py
Alexship896/Algoritmia_21-2
1ffb33fc2b93899d813e67d958e437d66a39070e
[ "MIT" ]
1
2021-04-18T05:01:08.000Z
2021-04-18T05:01:08.000Z
## class <nombre_del_objeto>: ## def <metodo_del_objeto>(self): # variable -> atributos # funciones -> metodos def hola(): print("hola a todos") hola() class Persona: def __init__(self, nombre): self.nombre = nombre def hola(self): print("Hola a todos, soy", self.nombre) def agregarApellido(self, apellido): self.apellido = apellido def agregarEdad(self, edad): self.edad = edad def __str__(self): return self.nombre class Animal: def __init__(self, nombre): self.nombre = nombre perro = Animal('perro') perro.edad = 12 perro.raza = 'labrador' luis = Persona('Luis') luis.hola() luis.agregarApellido('Perez') pedro = Persona('Pedro') pedro.hola() pedro.agregarEdad(17) print(pedro) pedro.nombre = 'Pablo' print(pedro) print(pedro.edad) pedro.edad = 19 print(pedro.edad)
15.589286
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5.036697
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0
0
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0
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2
ec3d018ff3d0640052c42c4cb920908caff7f29a
501
py
Python
utility/error.py
ghowland/dirdb
38d346885c5411884b5b7252dc2f09ba42972caa
[ "MIT" ]
1
2017-07-23T16:04:53.000Z
2017-07-23T16:04:53.000Z
utility/error.py
ghowland/dirdb
38d346885c5411884b5b7252dc2f09ba42972caa
[ "MIT" ]
null
null
null
utility/error.py
ghowland/dirdb
38d346885c5411884b5b7252dc2f09ba42972caa
[ "MIT" ]
null
null
null
""" Error Reporting """ import sys def Error(text, options, exit_code=1): """Fail with an error. Options are required to deliver proper output.""" #output = {'error': text, 'exit_code':exit_code} # ## Format errors and output them, in the specified fashion #format.FormatAndOuput(output, options) sys.stderr.write('ERROR: %s\n' % text) #TODO(g): Clean-up work we have done so far, so this system is not left in # an unusable state pass#... # Exit sys.exit(exit_code)
20.04
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4.426667
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2
ec4aacd0ee4112bfaad1f422cbfbb013aa8fd123
2,247
py
Python
tests/test_feature_selection.py
NewKnowledge/punk
53007a38433023f9a9f5cf39786b1c5a28f1f996
[ "MIT" ]
2
2017-08-23T16:58:01.000Z
2020-07-03T01:53:34.000Z
tests/test_feature_selection.py
NewKnowledge/punk
53007a38433023f9a9f5cf39786b1c5a28f1f996
[ "MIT" ]
11
2017-08-18T17:19:21.000Z
2022-03-18T15:54:40.000Z
tests/test_feature_selection.py
NewKnowledge/punk
53007a38433023f9a9f5cf39786b1c5a28f1f996
[ "MIT" ]
2
2017-09-11T19:38:04.000Z
2020-05-28T00:58:05.000Z
import unittest import numpy as np import pandas as pd from sklearn import datasets from sklearn.preprocessing import StandardScaler from sklearn.model_selection import train_test_split from punk.feature_selection import PCAFeatures from punk.feature_selection import RFFeatures class TestPCA(unittest.TestCase): def setUp(self): iris = datasets.load_iris() sc = StandardScaler() self.X = sc.fit_transform(iris.data) def test_pca(self): rankings = PCAFeatures() importances = rankings.produce(self.X) self.assertTrue( np.array_equal( importances, np.array([2, 3, 0, 1])) ) class TestRFC(unittest.TestCase): def setUp(self): df_wine = pd.read_csv('https://raw.githubusercontent.com/rasbt/' 'python-machine-learning-book/master/code/datasets/wine/wine.data', header=None) X, y = df_wine.iloc[:, 1:].values, df_wine.iloc[:, 0].values self.X, _, self.y, _ = train_test_split(X, y, test_size=0.3, random_state=0) def test_rfc(self): rf = RFFeatures(problem_type="classification", cv=3, scoring="accuracy", verbose=0, n_jobs=1) indices = rf.produce((self.X, self.y)) self.assertTrue( np.all(np.isfinite( rf.feature_importances )) ) importances = np.array([9, 12, 6, 11, 0, 10, 5, 3, 1, 8, 4, 7, 2]) self.assertTrue( np.array_equal(indices, importances) ) class TestRFR(unittest.TestCase): def setUp(self): boston = datasets.load_boston() self.X, self.y = boston.data, boston.target def test_rfr(self): rf = RFFeatures(problem_type="regression", cv=3, scoring="r2", verbose=0, n_jobs=1) indices = rf.produce((self.X, self.y)) self.assertTrue( np.all(np.isfinite( rf.feature_importances )) ) importances = np.array([5, 12, 7, 0, 4, 10, 9, 6, 11, 2, 8, 1, 3]) self.assertTrue( np.array_equal(indices, importances) ) if __name__ == '__main__': unittest.main()
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6b6f7a61e5e93d5e09483ec5c09b8dfa71ba3d9c
58,726
py
Python
test/_data/generator/dps_pds/gp_practices.py
NHSDigital/list-reconciliation
37b1ebe99a64275e23b0e7fb6a89415b92d14306
[ "MIT" ]
4
2021-06-25T08:28:54.000Z
2021-12-16T11:03:42.000Z
test/_data/generator/dps_pds/gp_practices.py
NHSDigital/list-reconciliation
37b1ebe99a64275e23b0e7fb6a89415b92d14306
[ "MIT" ]
184
2021-06-24T15:27:08.000Z
2022-03-17T12:44:28.000Z
test/_data/generator/dps_pds/gp_practices.py
NHSDigital/list-reconciliation
37b1ebe99a64275e23b0e7fb6a89415b92d14306
[ "MIT" ]
3
2021-11-05T10:21:44.000Z
2022-03-04T14:29:24.000Z
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"Y90222", "Y90223", "Y90224", "Y90225", "Y90226", "Y90227", "Y90228", "Y90229", "Y90230", "Y90231", "Y90232", "Y90233", "Y90234", "Y90235", "Y90236", "Y90237", "Y90239", "Y90242", "Y90243", "Y90244", "Y90245", "Y90246", "Y90247", "Y90248", "Y90249", "Y90250", "Y90251", "Y90252", "Y90253", "Y90254", "Y90255", "Y90256", "Y90257", "Y90258", "Y90259", "Y90260", "Y90261", "Y90262", "Y90263", "Y90264", "Y90265", "Y90266", "Y90267", "Y90270", "Y90271", "Y90272", "Y90273", "Y90274", "Y90275", "Y90276", "Y90277", "Y90278", "Y90279", "Y90280", "Y90281", "Y90282", "Y90283", "Y90284", "Y90285", "Y90286", "Y90287", "Y90288", "Y90289", "Y90290", "Y90291", "Y90292", "Y90293", "Y90294", "Y90295", "Y90296", "Y90297", "Y90298", "Y90299", "Y90300", "Y90301", "Y90302", "Y90303", "Y90304", "Y90305", "Y90306", "Y90307", "Y90308", "Y90309", "Y90310", "Y90311", "Y90312", "Y90313", "Y90314", "Y90315", "Y90316", "Y90317", "Y90318", "Y90319", "Y90321", "Z00001", ]
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6b7d0be198578062e55a903d8aadba221bbbd6f9
354
py
Python
maintenance/templates/nodeclass.py
JFlynnXYZ/pymel
2aa254c7982c78aac3e30e8d1b6a85f2465f898e
[ "BSD-3-Clause" ]
287
2015-01-03T21:18:59.000Z
2022-03-16T07:55:33.000Z
maintenance/templates/nodeclass.py
JFlynnXYZ/pymel
2aa254c7982c78aac3e30e8d1b6a85f2465f898e
[ "BSD-3-Clause" ]
412
2015-06-19T15:13:33.000Z
2022-02-25T08:12:25.000Z
maintenance/templates/nodeclass.py
JFlynnXYZ/pymel
2aa254c7982c78aac3e30e8d1b6a85f2465f898e
[ "BSD-3-Clause" ]
106
2015-01-03T06:46:44.000Z
2022-03-30T15:43:01.000Z
{% if not existing %} class {{ classname }}({{ parents }}): {% endif %} {% if attrs %} {% for attr in attrs %} {% for line in attr.getLines() %} {{line}} {% endfor %} {% endfor %} {% endif %} {% if methods %} {% for method in methods %} {% for line in method.getLines() %} {{line}} {% endfor %} {% endfor %} {% else %} {% endif %}
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6b7df49fac50568f5ef0ff875cc4f6710ca60bfc
8,905
py
Python
shatter/util/helpers.py
jisazaTappsi/mastermind
bb096119b6e062611dec8e8062feb5f838d5a198
[ "MIT" ]
1
2016-06-10T05:55:05.000Z
2016-06-10T05:55:05.000Z
shatter/util/helpers.py
jisazaTappsi/mastermind
bb096119b6e062611dec8e8062feb5f838d5a198
[ "MIT" ]
1
2016-02-05T06:59:46.000Z
2016-02-05T06:59:46.000Z
shatter/util/helpers.py
jisazaTappsi/mastermind
bb096119b6e062611dec8e8062feb5f838d5a198
[ "MIT" ]
1
2016-03-28T11:01:23.000Z
2016-03-28T11:01:23.000Z
#!/usr/bin/env python """Utility and General purpose functions.""" import inspect import warnings import os import re import shatter.constants as cts __author__ = 'juan pablo isaza' def read_file(absolute_path): """ :param absolute_path: string path. :return: list with lines of the file. """ return [line.rstrip('\n') for line in open(absolute_path)] def delete_file(filename): """ :param filename: relative path to file. """ if os.path.exists(filename): os.remove(filename) return True return False def write_file(filename, the_list): """ :param filename: relative path to file. :param the_list: new file information. :return: void """ new_file = open(filename, 'a') for item in the_list: new_file.write("%s\n" % item) def rewrite_file(filename, the_list): """ Delete and write again :param filename: relative path to file. :param the_list: new file information. :return: void """ delete_file(filename) write_file(filename, the_list) def bit_in_string(string): """ Contains a bit in the string :param string: arbitrary string :return: boolean """ return ('0' in string) or ('1' in string) def string_has_bits_for_and(str_bits, index): """ Returns true if finds a bit, before and after index. :param index: int :param str_bits: string :return: boolean """ str_start = str_bits[:index] str_end = str_bits[index:] return index > 0 and bit_in_string(str_start) and bit_in_string(str_end) def from_bool_to_bit(boolean): """ Conversion from boolean to bit :param boolean: True or False :return: '1' or '0' """ if boolean: return "1" else: return "0" def get_function_path(f): """ Passes the internal func_code to a attribute called internal_code on the wrapper. Then we call the wrapper attribute which throws metadata of the internal function, and gets the path. :param f: function :return: path """ # does the wrapper is defining the new attribute, to expose internal func_code? or use std func_code if no decorator code = f.internal_code if hasattr(f, cts.INTERNAL_CODE) else f.__code__ return code.co_filename def valid_function(f): """ Validates function. Returns warning if it is not a function or it doesn't have a decorator. :param f: function :return: passes, raises warning or raises TypeError """ if not hasattr(f, '__call__'): raise TypeError('{} is not a valid function.'.format(f)) if not hasattr(f, cts.INTERNAL_CODE): warnings.warn('Function {} has no decorator, reading can be harder!!!'.format(f.__name__), UserWarning) return True def get_function_line_number(f, file_code): """ Returns first line number for decorated and un-decorated methods. -1 if not found. :param f: function. :param file_code: the code as a list where each element is a line. :return: the line of the file(starting in zero), 0 if not found! """ for index, line in enumerate(file_code): pattern = re.compile(cts.PARTICULAR_DEFINITION.pattern.format(name=f.__name__)) definition = re.search(pattern, line) if definition: return index return -1 def get_function_inputs(f): """ Given function signatures gets the name of the function. :param f: a callable function :return: input names on a tuple. """ if hasattr(f, cts.INTERNAL_PARAMETERS): # 'internal_parameters' is defined inside the solver() annotation, see solver.py for details. return f.internal_parameters else: return f.__code__.co_varnames def get_function_code(start, file_code): """ Gets the source code of function. Opt for not using inspect package because it doesn't work with decorators :param start: the starting line number, of the function :param file_code: the source file lines :return: code. """ def not_space_nor_comment(line): return len(line.strip()) > 0 and line.strip()[0] != '#' def inside_function(line_indent, f_indent): return len(line_indent) > len(f_indent) + 3 base_indent = re.search(cts.INDENT, file_code[start]).group() end = start for index, l in enumerate(file_code[start + 1:]): l_indent = re.search(cts.INDENT, l).group() # decides if adding to function is required: no black space or comment if not_space_nor_comment(l): if inside_function(l_indent, base_indent): end = index + start + 2 # only add code if non-comment or empty spaces are inside function else: # end of function if found lower indent that is not a blank space and not a comment break return file_code[start:end] def var_is_true(var): """ Returns True if var= True, else False. Remember here that 1 is a almost True value but in this case should return False. :param var: any variable. :return: boolean """ return var and isinstance(var, bool) def var_is_false(var): """ Returns True if var = False, else False. Remember here that 1 is a almost True value but in this case should return False. :param var: any variable. :return: boolean """ return not var and isinstance(var, bool) def has_true_key(d): """ Returns True only if it has a True value as key. Has to be done this way because Python confuses '0' and '1' with False and True. :param d: dict() :return: boolean """ for key in d: if var_is_true(key): return True return False def has_return(implementation, definition): """ Finds if the implementation already has a return. :param implementation: array with code implementation :param definition: function definition :return: Boolean """ last_line = implementation[-1] indent = get_indent_from_definition(definition) pattern = r"^{indent} return".format(indent=indent) return re.search(pattern, last_line) is not None def has_false_key(d): """ Returns True only if it has a False value as key. Has to be done this way because Python confuses '0' and '1' with False and True. :param d: dict() :return: boolean """ for key in d: if var_is_false(key): return True return False def var_is_1(var): """ Boolean if var is equal to 1 and not True. :param var: variable :return: boolean """ if var and not isinstance(var, bool): return True return False def var_is_0(var): """ Boolean if var is equal to 0 and not False. :param var: variable :return: boolean """ if not var and not isinstance(var, bool): return True return False def get_indent_from_definition(definition): """ Uses regex to get the indent :param definition: of a function :return: indent as string """ return re.search(cts.INDENT, definition).group() def is_function(f): """ Is it a function? :param f: function :return: boolean """ return hasattr(f, '__call__') def remove_list_from_list(all_list, list_to_remove): """ :param all_list: original list :param list_to_remove: elements that will be removed from the original list. :return: subtracted list """ return [value for value in all_list if value not in list_to_remove] def is_private_call(): """ Searches in the stack for places where the package is. If there is something then the function is being called privately from inside the package, otherwise it is called from outside the package. :return: boolean """ p_name = '/{}/'.format(cts.PACKAGE_NAME) p = re.match(r'^.*' + p_name, inspect.stack()[0].filename).group() # the number 2 in 'inspect.stack()[2:]' is because we are not looking inside is_private_call() function nor one # level above it, where its suppose to tell us if that function is being called privately or publicly. return any(re.match(p, frame.filename) is not None for frame in inspect.stack()[2:]) def name_in_frame(var, frame): """ Looks at the locals of the frame and searches in it for var. :param var: variable to get name from. :param frame: a inspect frame :return: list with strings. """ callers_local_vars = frame.f_locals.items() return [var_name for var_name, var_val in callers_local_vars if var_val is var] def retrieve_name(var): """ Gets the name of var. Does it from the out most frame inner-wards. :param var: variable to get name from. :return: string """ for fi in reversed(inspect.stack()): names = name_in_frame(var, fi.frame) if len(names) > 0: return names[0]
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2
6b8591e59247dad1b7b1305c25ea86898d890846
306
py
Python
src/bot/cocoa/src/basic/systems/cmd_system.py
s-akanksha/DialoGraph_ICLR21
d5bbc10b2623c9f84d21a99a5e54e7dcfdfb1bcc
[ "Apache-2.0" ]
12
2021-03-17T05:15:33.000Z
2022-01-19T06:09:21.000Z
src/bot/cocoa/src/basic/systems/cmd_system.py
s-akanksha/DialoGraph_ICLR21
d5bbc10b2623c9f84d21a99a5e54e7dcfdfb1bcc
[ "Apache-2.0" ]
2
2021-05-25T07:28:46.000Z
2022-02-11T01:54:43.000Z
src/bot/cocoa/src/basic/systems/cmd_system.py
s-akanksha/DialoGraph_ICLR21
d5bbc10b2623c9f84d21a99a5e54e7dcfdfb1bcc
[ "Apache-2.0" ]
4
2021-10-11T03:39:38.000Z
2022-02-01T23:58:50.000Z
from system import System from src.basic.sessions.cmd_session import CmdSession class CmdSystem(System): def __init__(self): super(CmdSystem, self).__init__() @classmethod def name(cls): return 'cmd' def new_session(self, agent, kb): return CmdSession(agent, kb)
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6b9a56d04bac907997a092760a7763b29877194d
335
py
Python
0104/test5.py
eto/study
95f506569657c174bf2347b5240768fafedaa285
[ "BSD-3-Clause" ]
null
null
null
0104/test5.py
eto/study
95f506569657c174bf2347b5240768fafedaa285
[ "BSD-3-Clause" ]
null
null
null
0104/test5.py
eto/study
95f506569657c174bf2347b5240768fafedaa285
[ "BSD-3-Clause" ]
null
null
null
# file handling # 1) without using with statement file = open('t1.txt', 'w') file.write('hello world !') file.close() # 2) without using with statement file = open('t2.txt', 'w') try: file.write('hello world') finally: file.close() # 3) using with statement with open('t3.txt', 'w') as file: file.write('hello world !')
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0.305556
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2
6bb7889b4decd4266d4e92eef2bdbcfe210d5377
493
py
Python
thaniya_server_upload/src/thaniya_server_upload/slots/IUploadSlotContext.py
jkpubsrc/Thaniya
4ebdf2854e3d7888af7396adffa22628b4ab2267
[ "Apache-1.1" ]
1
2021-01-20T18:27:22.000Z
2021-01-20T18:27:22.000Z
thaniya_server_upload/src/thaniya_server_upload/slots/IUploadSlotContext.py
jkpubsrc/Thaniya
4ebdf2854e3d7888af7396adffa22628b4ab2267
[ "Apache-1.1" ]
null
null
null
thaniya_server_upload/src/thaniya_server_upload/slots/IUploadSlotContext.py
jkpubsrc/Thaniya
4ebdf2854e3d7888af7396adffa22628b4ab2267
[ "Apache-1.1" ]
null
null
null
from thaniya_server_sudo import SudoScriptRunner from thaniya_server.usermgr import BackupUserManager from thaniya_server.sysusers import SystemAccountManager class IUploadSlotContext: @property def backupUserManager(self) -> BackupUserManager: raise NotImplementedError() # @property def sudoScriptRunner(self) -> SudoScriptRunner: raise NotImplementedError() # @property def systemAccountManager(self) -> SystemAccountManager: raise NotImplementedError() # #
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6bbda07e389bf551e26624d26ca28aadcfbca0c4
217
py
Python
Curso_Python/Secao2-Python-Basico-Logica-Programacao/37_desempacotamento_listas/37_desempacotamento_listas.py
pedrohd21/Cursos-Feitos
b223aad83867bfa45ad161d133e33c2c200d42bd
[ "MIT" ]
null
null
null
Curso_Python/Secao2-Python-Basico-Logica-Programacao/37_desempacotamento_listas/37_desempacotamento_listas.py
pedrohd21/Cursos-Feitos
b223aad83867bfa45ad161d133e33c2c200d42bd
[ "MIT" ]
null
null
null
Curso_Python/Secao2-Python-Basico-Logica-Programacao/37_desempacotamento_listas/37_desempacotamento_listas.py
pedrohd21/Cursos-Feitos
b223aad83867bfa45ad161d133e33c2c200d42bd
[ "MIT" ]
null
null
null
""" Desempacotamento de listas em python """ lista = ['Luiz', 'João', 'Maria', 1, 2, 3, 4, 5] n1, n2, *n3 = lista #todo: usando a * cria outra lista, e os valores que eu quiser mostrar, começa pelas ultimas print(n3)
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6bc4bf2d5b5985b5f35826eee953cf4a89bb1e53
138
py
Python
petpy/__main__.py
csmarfan/petpy
d5edaea43a6657e6a93a1f01f3dd27e9e8fbb0cf
[ "Apache-2.0" ]
null
null
null
petpy/__main__.py
csmarfan/petpy
d5edaea43a6657e6a93a1f01f3dd27e9e8fbb0cf
[ "Apache-2.0" ]
2
2019-06-19T12:16:12.000Z
2019-06-19T12:38:02.000Z
petpy/__main__.py
csmarfan/petpy
d5edaea43a6657e6a93a1f01f3dd27e9e8fbb0cf
[ "Apache-2.0" ]
1
2019-06-19T12:27:06.000Z
2019-06-19T12:27:06.000Z
import sys from .petpy import gardner def main(): vp = float(sys.arv[1]) print(gardner(vp)) if __name__=='__main__': main()
13.8
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9
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2
6bdabddf24475c6a7309d4c9ef42f919cb418158
250
py
Python
bdsim/blocks/__init__.py
petercorke/bdsim
0b6afee0ae889e39a4be036f2aea8c2261cce0f8
[ "MIT" ]
64
2020-05-24T01:07:41.000Z
2022-02-27T10:31:07.000Z
bdsim/blocks/__init__.py
petercorke/bdsim
0b6afee0ae889e39a4be036f2aea8c2261cce0f8
[ "MIT" ]
6
2020-06-14T10:48:29.000Z
2022-02-12T08:30:44.000Z
bdsim/blocks/__init__.py
petercorke/bdsim
0b6afee0ae889e39a4be036f2aea8c2261cce0f8
[ "MIT" ]
17
2020-06-13T18:53:53.000Z
2022-01-10T14:42:51.000Z
from .functions import * from .sources import * from .sinks import * from .transfers import * from .discrete import * from .linalg import * from .displays import * from .connections import * url = "https://petercorke.github.io/bdsim/" + __package__
22.727273
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0.74
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250
5.83871
0.548387
0.38674
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0.152
250
10
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25
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2
6be2face076e8b3accb63a8d1177e6d440d63b46
939
py
Python
src/structurizr/mixin/childless_mixin.py
xolynrac/examen_final_4c
dfa19b44fee6a17b7efc5630f1c8580aabc549e9
[ "Apache-2.0" ]
47
2020-04-26T20:00:03.000Z
2022-02-19T14:32:04.000Z
src/structurizr/mixin/childless_mixin.py
xolynrac/examen_final_4c
dfa19b44fee6a17b7efc5630f1c8580aabc549e9
[ "Apache-2.0" ]
84
2020-05-25T14:49:21.000Z
2022-01-26T01:55:04.000Z
src/structurizr/mixin/childless_mixin.py
xolynrac/examen_final_4c
dfa19b44fee6a17b7efc5630f1c8580aabc549e9
[ "Apache-2.0" ]
14
2020-07-01T11:03:25.000Z
2022-01-11T06:37:31.000Z
# Copyright (c) 2020 # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Provide a mixin that indicates an element type does not have children.""" from typing import Iterable from ..model.element import Element class ChildlessMixin: """Define a mixin for childless element types.""" @property def child_elements(self) -> Iterable[Element]: """Return child elements (from `Element.children`).""" return []
30.290323
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0.729499
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939
5.142857
0.654135
0.087719
0.038012
0.046784
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0.186368
939
30
77
31.3
0.884817
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2
6bf1b8faec412f1cce9606a9643d4de5cc1158b7
1,125
py
Python
3-Python-Advanced (May 2021)/00-Exams-Prep/03-Python-Advanced-Exam-14-Feb-2021/01-Problem-1.py
karolinanikolova/SoftUni-Software-Engineering
7891924956598b11a1e30e2c220457c85c40f064
[ "MIT" ]
null
null
null
3-Python-Advanced (May 2021)/00-Exams-Prep/03-Python-Advanced-Exam-14-Feb-2021/01-Problem-1.py
karolinanikolova/SoftUni-Software-Engineering
7891924956598b11a1e30e2c220457c85c40f064
[ "MIT" ]
null
null
null
3-Python-Advanced (May 2021)/00-Exams-Prep/03-Python-Advanced-Exam-14-Feb-2021/01-Problem-1.py
karolinanikolova/SoftUni-Software-Engineering
7891924956598b11a1e30e2c220457c85c40f064
[ "MIT" ]
null
null
null
# Problem 1 # First, you will be given a sequence of integers representing firework effects. Afterwards you will be given another # sequence of integers representing explosive power. # You need to start from the first firework effect and try to mix it with the last explosive power. # If the sum of their values is: # • divisible by 3, but it is not divisible by 5 – create Palm firework and remove both materials # • divisible by 5, but it is not divisible by 3 – create Willow firework and remove both materials # • divisible by both 3 and 5 – create Crossette firework and remove both materials # Otherwise, decrease the value of the firework effect by 1 and move it at the end of the sequence. # Then, try to mix the same explosive power with the next firework effect. # If any value is equal to or below 0, you should remove it from the sequence before trying to mix it with the other. # When you have successfully prepared enough fireworks for the show or you have no more firework punches or explosive # power, you need to stop mixing. # To make the perfect firework show, Maria needs 3 of each of the firework types.
75
117
0.776
201
1,125
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0.432836
0.062571
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2
d4246e25860579a29b30485c3d1b321ea8dadcaf
275
py
Python
questao6.py
higorcastro17/Avaliacao1
30d727d9c85fd532a6a6264fa50eee7d34a57bbf
[ "Apache-2.0" ]
null
null
null
questao6.py
higorcastro17/Avaliacao1
30d727d9c85fd532a6a6264fa50eee7d34a57bbf
[ "Apache-2.0" ]
null
null
null
questao6.py
higorcastro17/Avaliacao1
30d727d9c85fd532a6a6264fa50eee7d34a57bbf
[ "Apache-2.0" ]
null
null
null
turno = input('M-matutino, V-vespertino, N-noturno: ') if (turno == 'M')or(turno == 'm') : print ('Bom Dia') if (turno == 'V')or(turno == 'v'): print ('Boa Tarde') if (turno == 'N')or(turno == 'n'): print ('Boa Noite') else: print ('Valor inválido')
27.5
55
0.527273
39
275
3.717949
0.487179
0.144828
0
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0.229091
275
9
56
30.555556
0.683962
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false
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0
1
0
2
d42502013a724d256a3f3b74c173fa598ca64b62
490
py
Python
b0mb3r/services/webbankir.py
Superior0/b0mb3r_r
216b1851303f5101b09457ba31749b63e4d0d5e8
[ "Apache-2.0" ]
null
null
null
b0mb3r/services/webbankir.py
Superior0/b0mb3r_r
216b1851303f5101b09457ba31749b63e4d0d5e8
[ "Apache-2.0" ]
null
null
null
b0mb3r/services/webbankir.py
Superior0/b0mb3r_r
216b1851303f5101b09457ba31749b63e4d0d5e8
[ "Apache-2.0" ]
null
null
null
from b0mb3r.services.service import Service class WebBankir(Service): async def run(self): await self.post( "https://ng-api.webbankir.com/user/v2/create", json={ "lastName": self.russian_name, "firstName": self.russian_name, "middleName": self.russian_name, "mobilePhone": self.formatted_phone, "email": self.email, "smsCode": "", }, )
28.823529
58
0.512245
45
490
5.488889
0.688889
0.133603
0.182186
0
0
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0.009709
0.369388
490
16
59
30.625
0.789644
0
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0.189796
0
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true
0
0.071429
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null
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null
0
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0
0
1
0
0
0
0
0
0
2
d4254df5226f1fbca945831c16a37f0346ea800a
511
py
Python
login.py
sgravrock/flickr-to-go
42badc3c08acfb834505ea31e76a50b7b81aec31
[ "MIT" ]
null
null
null
login.py
sgravrock/flickr-to-go
42badc3c08acfb834505ea31e76a50b7b81aec31
[ "MIT" ]
null
null
null
login.py
sgravrock/flickr-to-go
42badc3c08acfb834505ea31e76a50b7b81aec31
[ "MIT" ]
null
null
null
import os import sys import flickr_api from flickr_api import auth a = auth.AuthHandler(key=os.environ['FLICKR_API_KEY'], secret=os.environ['FLICKR_API_SECRET'], callback='oob') print("Open this in your browser: " + a.get_authorization_url('read')) print("Once you finish logging in, enter the code from the browser: "), code = sys.stdin.readline().strip() a.set_verifier(code) flickr_api.set_auth_handler(a) user = flickr_api.test.login() photos = user.getPhotos() print "Got %s photos" % photos.info.total
30.058824
110
0.759295
82
511
4.573171
0.560976
0.144
0.08
0.096
0
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0.107632
511
16
111
31.9375
0.822368
0
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0.272016
0
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null
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1
0
0
0
0
2
d42b94352b7c3c7e5fe8e652dabf68483b72d935
524
py
Python
structures/cycle.py
TheBiggerFish/fishpy
632a7c603a33ad694650aa2bed058931775a4259
[ "MIT" ]
null
null
null
structures/cycle.py
TheBiggerFish/fishpy
632a7c603a33ad694650aa2bed058931775a4259
[ "MIT" ]
null
null
null
structures/cycle.py
TheBiggerFish/fishpy
632a7c603a33ad694650aa2bed058931775a4259
[ "MIT" ]
null
null
null
""" This module provides a sequence class which can be used for cyclic values """ from typing import Generic, TypeVar T = TypeVar('T') class Cycle(list,Generic[T]): """This class can be used to store cyclic values""" def __getitem__(self,key:int) -> T: return super().__getitem__(key%len(self)) def __setitem__(self,key:int,value:T): super().__setitem__(key%len(self),value) def remove(self,index:int): """Remove value at location \"index\"""" del self[index%len(self)]
24.952381
73
0.65458
75
524
4.36
0.506667
0.06422
0.055046
0
0
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0.20229
524
20
74
26.2
0.782297
0.290076
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false
0
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0
0
1
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0
2
d43acd41d13bbda6864c50e5a66d740ba0abd4a6
984
py
Python
django_vueformgenerator/fields.py
agronick/django-vueformgenerator
6c59be1d06118327af08cc0e6260d234f12f715e
[ "MIT" ]
7
2016-10-20T11:49:01.000Z
2020-06-17T22:12:59.000Z
django_vueformgenerator/fields.py
agronick/django-vueformgenerator
6c59be1d06118327af08cc0e6260d234f12f715e
[ "MIT" ]
2
2019-03-19T15:41:43.000Z
2019-03-29T17:39:44.000Z
django_vueformgenerator/fields.py
agronick/django-vueformgenerator
6c59be1d06118327af08cc0e6260d234f12f715e
[ "MIT" ]
5
2016-12-01T15:41:15.000Z
2019-10-06T02:00:20.000Z
class Field(object): def render(self, field): raise NotImplementedError('Field.render needs to be defined') class Attr(Field): def __init__(self, attr, default=None, type=None): self.attr = attr self.default = default if type is None: self.type = lambda x: x else: self.type = type def render(self, field): try: x = field for attr in self.attr.split('.'): x = getattr(x, attr) return self.type(x) except AttributeError: return self.default class Name(Field): def render(self, field): return field.__name__.replace('__', '.') class Func(Field): def __init__(self, func): self.func = func def render(self, field): return self.func(field) class Literal(Field): def __init__(self, value): self.value = value def render(self, *args, **kwargs): return self.value
22.363636
69
0.565041
118
984
4.559322
0.313559
0.083643
0.120818
0.133829
0.089219
0
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0.325203
984
43
70
22.883721
0.810241
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0.25
false
0
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0
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0
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1
0
0
0
0
1
0
0
2
d45e0abbc1b60250ad55d017c7df68087d2d533a
388
py
Python
Course.py
timot3/uiuc-course-api
468043724532f6cc85c2e24dc8d11cd7819f7381
[ "MIT" ]
6
2021-12-21T21:32:52.000Z
2021-12-22T04:11:33.000Z
Course.py
timot3/uiuc-course-api
468043724532f6cc85c2e24dc8d11cd7819f7381
[ "MIT" ]
null
null
null
Course.py
timot3/uiuc-course-api
468043724532f6cc85c2e24dc8d11cd7819f7381
[ "MIT" ]
null
null
null
from dataclasses import dataclass import json @dataclass class Course: name: str # "CS 124" number: str # "124" label: str # "Introduction to Computer Science I" description: str # "Basic concepts in computing and fundamental techniques for solving computational problems..." GPA: str # "No Data" hours: str # "3"
35.272727
120
0.608247
43
388
5.488372
0.813953
0
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0.31701
388
11
121
35.272727
0.864151
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2
d469c0222f63a84b0e954f5e839ba9f76753383c
1,004
py
Python
tagify_project/music/migrations/old/0001_initial.py
Krayonn/tagify
5ee7efce3cacfa23a344e4c02070a365f50136a8
[ "MIT" ]
null
null
null
tagify_project/music/migrations/old/0001_initial.py
Krayonn/tagify
5ee7efce3cacfa23a344e4c02070a365f50136a8
[ "MIT" ]
null
null
null
tagify_project/music/migrations/old/0001_initial.py
Krayonn/tagify
5ee7efce3cacfa23a344e4c02070a365f50136a8
[ "MIT" ]
null
null
null
# Generated by Django 3.1.6 on 2021-03-08 10:44 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Album', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('idd', models.CharField(max_length=50)), ('name', models.CharField(max_length=50)), ('artist', models.CharField(max_length=50)), ('release_date', models.DateTimeField()), ], ), migrations.CreateModel( name='Track', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('track_id', models.CharField(max_length=50)), ('tags', models.CharField(max_length=200)), ], ), ]
30.424242
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0.547809
99
1,004
5.424242
0.484848
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0.167598
0.223464
0.487896
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0.294227
0.294227
0.294227
0.294227
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0.037791
0.314741
1,004
32
115
31.375
0.742733
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false
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0
0
0
2
d46e84399f4a786d2d9417ea41788e945de9b9f8
1,223
py
Python
intrepyd/colors.py
bobosoft/intrepyd
13f0912b31f86f9bcc50f52ef4ad870e33f0cf65
[ "BSD-3-Clause" ]
2
2021-04-25T17:38:03.000Z
2022-03-20T20:48:50.000Z
intrepyd/colors.py
bobosoft/intrepyd
13f0912b31f86f9bcc50f52ef4ad870e33f0cf65
[ "BSD-3-Clause" ]
1
2016-11-30T22:25:00.000Z
2017-01-16T22:43:39.000Z
intrepyd/colors.py
bobosoft/intrepyd
13f0912b31f86f9bcc50f52ef4ad870e33f0cf65
[ "BSD-3-Clause" ]
null
null
null
""" Copyright (C) 2017 Roberto Bruttomesso <roberto.bruttomesso@gmail.com> This file is distributed under the terms of the 3-clause BSD License. A copy of the license can be found in the root directory or at https://opensource.org/licenses/BSD-3-Clause. Author: Roberto Bruttomesso <roberto.bruttomesso@gmail.com> Date: 27/03/2017 This module implements some color shortcuts """ from colorama import Fore, Style def fail(message): """ Color message as failure """ return _fmt(Fore.RED, Style.BRIGHT, message) def warn(message): """ Color message as warning """ return _fmt(Fore.YELLOW, Style.BRIGHT, message) def good(message): """ Color message as success """ return _fmt(Fore.GREEN, Style.BRIGHT, message) def info(message): """ Color message as info """ return _fmt(Fore.CYAN, Style.BRIGHT, message) def dim(message): """ dim message """ return _fmt(Fore.BLACK, Style.BRIGHT, message) def enhance(message): """ enhance message """ return _fmt(Fore.WHITE, Style.BRIGHT, message) def _fmt(color, style, message): """ Helper routine """ return color + style + message + Fore.RESET + Style.RESET_ALL
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0
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1
0
0
2
d476d8dd1be2c7313c00dcab49d959a864de8726
352
py
Python
codeforces.com/1560B/solution.py
zubtsov/competitive-programming
919d63130144347d7f6eddcf8f5bc2afb85fddf3
[ "MIT" ]
null
null
null
codeforces.com/1560B/solution.py
zubtsov/competitive-programming
919d63130144347d7f6eddcf8f5bc2afb85fddf3
[ "MIT" ]
null
null
null
codeforces.com/1560B/solution.py
zubtsov/competitive-programming
919d63130144347d7f6eddcf8f5bc2afb85fddf3
[ "MIT" ]
null
null
null
for i in range(int(input())): a, b, c = map(int, input().split()) mi = min(a, b) ma = max(a, b) half_circle_people = (ma - mi) full_circle_people = 2 * half_circle_people if ma > half_circle_people * 2 or c > full_circle_people: print(-1) else: print((c - half_circle_people - 1) % full_circle_people + 1)
27.076923
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352
3.421053
0.438596
0.430769
0.328205
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0.019455
0.269886
352
12
69
29.333333
0.7393
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false
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0
2
2e2c18a17632c78bdb14e00bd093659ba759ce89
281
py
Python
src/hyper_prompt/themes/default.py
artbycrunk/hyper-prompt
b78d98e4e5c65647b566368ea778b205a86371de
[ "MIT" ]
5
2019-11-11T15:54:09.000Z
2022-03-23T00:00:07.000Z
src/hyper_prompt/themes/default.py
artbycrunk/hyper-prompt
b78d98e4e5c65647b566368ea778b205a86371de
[ "MIT" ]
8
2019-12-19T16:03:08.000Z
2021-10-21T01:42:08.000Z
src/hyper_prompt/themes/default.py
artbycrunk/hyper-prompt
b78d98e4e5c65647b566368ea778b205a86371de
[ "MIT" ]
3
2019-08-09T12:05:19.000Z
2020-10-06T08:16:24.000Z
from ..theme import BasicTheme class Theme(BasicTheme): USERNAME_FG = (188, 188, 188) USERNAME_BG = (88, 88, 88) USERNAME_ROOT_BG = (175, 0, 0) VIRTUAL_ENV_BG = (0, 175, 95) VIRTUAL_ENV_FG = (0, 0, 0) SSH_BG = (240, 121, 9) SSH_FG = (228, 228, 228)
20.071429
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0.597865
45
281
3.511111
0.466667
0.037975
0
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0.216346
0.259786
281
13
35
21.615385
0.543269
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false
0
0.111111
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2
2e2c874eabf70ce448a8da9afd9c8435d81d6bca
5,970
py
Python
uefi_firmware/guids/efiguids_asrock.py
MikeSpreitzer/uefi-firmware-parser
2af7e41c800300b0509494cec1db7125d2be2de9
[ "MIT" ]
492
2015-01-14T18:33:34.000Z
2022-03-28T03:28:24.000Z
uefi_firmware/guids/efiguids_asrock.py
ontikka/uefi-firmware-parser
044fbde61970eaa626852b5b70821822c612c9f0
[ "MIT" ]
59
2015-04-11T22:25:29.000Z
2022-03-09T14:34:19.000Z
uefi_firmware/guids/efiguids_asrock.py
ontikka/uefi-firmware-parser
044fbde61970eaa626852b5b70821822c612c9f0
[ "MIT" ]
142
2015-02-05T06:36:30.000Z
2022-01-13T03:46:42.000Z
GUIDs = { "ASROCK_ACPIS4_DXE_GUID": [69196166, 45078, 18382, 175, 197, 34, 105, 237, 212, 173, 100], "ASROCK_USBRT_GUID": [82487969, 10657, 4567, 136, 56, 0, 80, 4, 115, 212, 235], "ASROCK_RAID_SETUP_GUID": [152494882, 14144, 12750, 173, 98, 189, 23, 44, 236, 202, 54], "ASROCK_RAID_LOADER_GUID": [164506669, 19843, 17592, 151, 208, 16, 133, 235, 84, 144, 184], "ASROCK_SIOSLPSMI_GUID": [204970154, 53806, 19926, 140, 180, 60, 156, 251, 29, 134, 211], "ASROCK_PLEDDXE_GUID": [260599413, 12329, 20175, 182, 148, 34, 137, 77, 63, 33, 67], "ASROCK_A_DEFAULT_DXE_GUID": [303480106, 49246, 19565, 145, 231, 235, 142, 55, 173, 59, 122], "ASROCK_USER_DEF_SETUP_DXE_GUID": [321832763, 48422, 20415, 177, 147, 138, 203, 80, 239, 189, 137], "ASROCK_WAKEUP_CTRL_SMM_GUID": [460234064, 4836, 19285, 129, 217, 26, 191, 236, 89, 212, 252], "ASROCK_AMI_AGESA_DXE_GUID": [503020538, 49038, 19729, 151, 102, 47, 176, 208, 68, 35, 16], "ASROCK_HDD_READY_SMI_GUID": [560462180, 29336, 19087, 154, 42, 191, 228, 152, 214, 0, 168], "ASROCK_MOUSE_DRIVER_GUID": [719032155, 51156, 20094, 190, 42, 35, 99, 77, 246, 104, 161], "ASROCK_IDESMM_GUID": [829100592, 1280, 17810, 140, 9, 234, 186, 15, 182, 176, 127], "ASROCK_BFGSMI_GUID": [978522445, 22131, 19929, 181, 179, 203, 114, 195, 71, 102, 155], "ASROCK_ASRLOGODXE_GUID": [1033880909, 6629, 19152, 185, 134, 2, 214, 135, 215, 96, 229], "ASROCK_ASM104_X_DXE_GUID": [1080004582, 21011, 19333, 184, 33, 151, 183, 122, 255, 121, 91], "ASROCK_HDAUDIO_SMI_GUID": [1254707048, 58961, 19256, 161, 216, 45, 93, 239, 250, 15, 96], "ASROCK_SM_BUS_DXE_GUID": [1265110573, 3427, 20322, 185, 48, 122, 233, 149, 185, 179, 163], "ASROCK_USBINT13_GUID": [1275096281, 6586, 17943, 132, 131, 96, 145, 148, 161, 172, 252], "ASROCK_SLP_SUPPORT_GUID": [1279872597, 22601, 21314, 69, 84, 84, 69, 82, 33, 33, 33], "ASROCK_PATA_CONTROLLER_GUID": [1334921163, 38702, 20316, 184, 105, 160, 33, 130, 201, 217, 60], "ASROCK_SATA_CONTROLLER_GUID": [1359869601, 46785, 18760, 174, 231, 89, 242, 32, 248, 152, 189], "ASROCK_ACPIS4_SMM_GUID": [1368992111, 10248, 19194, 148, 196, 153, 246, 176, 108, 135, 30], "ASROCK_POST_REPORT_GUID": [1413923475, 13211, 18381, 183, 25, 88, 93, 227, 148, 8, 204], "ASROCK_CLOCK_GEN_DXE_GUID": [1447053695, 25694, 17937, 185, 21, 230, 130, 200, 189, 71, 131], "ASROCK_UHCD_GUID": [1477302528, 14429, 4567, 136, 58, 0, 80, 4, 115, 212, 235], "ASROCK_LEGACY_REGION_GUID": [1495543256, 59343, 18809, 182, 14, 166, 6, 126, 42, 24, 95], "ASROCK_SLEEP_SMI_GUID": [1654193688, 54767, 17079, 187, 12, 41, 83, 40, 63, 87, 4], "ASROCK_CMOS_MANAGER_SMM_GUID": [1751762355, 44173, 18803, 139, 55, 227, 84, 219, 243, 74, 221], "ASROCK_AMD_AGESA_DXE_DRIVER_GUID": [1766895615, 28387, 4573, 173, 139, 8, 0, 32, 12, 154, 102], "ASROCK_RE_FLASH_GUID": [1893836824, 3041, 17481, 191, 212, 158, 246, 140, 127, 2, 168], "ASROCK_LEGACY_INTERRUPT_GUID": [1911362257, 9483, 17147, 140, 23, 16, 220, 250, 119, 23, 1], "ASROCK_SMM_CHILD_DISPATCHER_GUID": [1966485705, 64229, 18345, 187, 191, 136, 214, 33, 205, 114, 130], "ASROCK_BFGDXE_GUID": [1988600983, 65358, 18687, 188, 170, 103, 219, 246, 92, 66, 209], "ASROCK_IFLASHSETUP_GUID": [2011543064, 9746, 19496, 188, 223, 162, 177, 77, 138, 62, 254], "ASROCK_S4_SLEEPDELAY_GUID": [2075935011, 23902, 19484, 149, 209, 48, 235, 164, 135, 1, 202], "ASROCK_HDD_READY_DXE_GUID": [2179248970, 9868, 20428, 142, 57, 28, 29, 62, 111, 110, 105], "ASROCK_RTLANDXE_GUID": [2332955475, 13708, 20015, 147, 69, 238, 191, 29, 171, 152, 155], "ASROCK_AMD_SB900_DXE_GUID": [2333274783, 28981, 20139, 175, 218, 5, 18, 247, 75, 101, 234], "ASROCK_SB900_SMBUS_LIGHT_GUID": [2551896525, 34437, 19115, 175, 218, 5, 18, 247, 75, 101, 234], "ASROCK_AAFTBL_SMI_GUID": [2667102838, 46054, 19161, 143, 231, 199, 79, 113, 196, 114, 72], "ASROCK_NVRAMID_GUID": [2708185858, 25876, 17031, 190, 227, 98, 35, 183, 222, 44, 33], "ASROCK_IDE_SECURITY_GUID": [2847342799, 414, 19851, 163, 167, 136, 225, 234, 1, 105, 158], "ASROCK_ASM1061_DXE_GUID": [2848876245, 27959, 17694, 169, 191, 245, 143, 122, 11, 60, 194], "ASROCK_ASM104_X_SMI_GUID": [2904508538, 47702, 18652, 142, 170, 232, 251, 234, 116, 184, 242], "ASROCK_RTLANSMI_GUID": [3005543067, 24215, 19449, 180, 224, 81, 37, 193, 246, 5, 213], "ASROCK_GEC_UPDATE_SMI_GUID": [3092850716, 5882, 17832, 146, 1, 28, 56, 48, 169, 115, 189], "ASROCK_APMOFF_GUID": [3146872289, 16021, 19326, 135, 80, 157, 106, 163, 78, 183, 246], "ASROCK_SMIFLASH_GUID": [3157425597, 47490, 20309, 159, 121, 5, 106, 215, 233, 135, 197], "ASROCK_RAID_X64_GUID": [3295196034, 17744, 18697, 173, 87, 36, 150, 20, 27, 63, 74], "ASROCK_AMD_SB900_SMM_GUID": [3351810409, 6722, 20062, 179, 75, 230, 131, 6, 113, 201, 166], "ASROCK_FIREWIRE_GUID": [3367390790, 38937, 17835, 135, 93, 9, 223, 218, 109, 139, 27], "ASROCK_IDE_SMART_GUID": [3581707566, 32927, 17871, 163, 119, 215, 123, 192, 203, 120, 238], "ASROCK_SB_INTERFACE_DXE_GUID": [3622218689, 38683, 17947, 181, 228, 60, 55, 102, 38, 122, 217], "ASROCK_AMD_SB900_SMM_DISPATCHER_GUID": [3748899802, 31298, 20062, 179, 75, 230, 131, 6, 113, 201, 166], "ASROCK_AMDCPU_DXE_GUID": [3786566962, 16719, 18139, 154, 238, 66, 0, 119, 243, 93, 190], "ASROCK_SMBIOS_DMIEDIT_GUID": [3802613560, 35124, 18677, 132, 18, 153, 233, 72, 200, 220, 27], "ASROCK_SECURITY_SELECT_DXE_GUID": [3832130086, 37480, 20144, 160, 135, 221, 76, 238, 55, 64, 75], "ASROCK_FILE_EXPLORER_LITE_GUID": [3875982164, 33976, 16573, 131, 47, 127, 178, 213, 203, 135, 179], "ASROCK_PLEDSMM_GUID": [3911953940, 15869, 19568, 159, 230, 56, 153, 243, 108, 120, 70], "ASROCK_CPU_SMBIOS_DRIVER_GUID": [3930959592, 43089, 19103, 171, 244, 183, 159, 162, 82, 130, 145], "ASROCK_AAFTBL_DXE_GUID": [4279363330, 35107, 18380, 173, 48, 217, 224, 226, 64, 221, 16], }
90.454545
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0.666332
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5,970
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0.025899
0.011099
0.0037
0.040698
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0.030655
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0.509954
0.167002
5,970
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91.846154
0.250955
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2
2e3264f2b6283971a43a58d5f49534eec7b0ac2f
208
py
Python
tests/server/pong_routing.py
Drachenfels/carp-api
b7f280a645d5116d85dc7cd1d177b449704457de
[ "MIT" ]
null
null
null
tests/server/pong_routing.py
Drachenfels/carp-api
b7f280a645d5116d85dc7cd1d177b449704457de
[ "MIT" ]
null
null
null
tests/server/pong_routing.py
Drachenfels/carp-api
b7f280a645d5116d85dc7cd1d177b449704457de
[ "MIT" ]
null
null
null
from carp_api.routing import router from . import endpoints # NOQA # to use pong we need to disable common routes as they are using conflicting # urls router.enable(endpoints=[ endpoints.UberPong, ])
18.909091
76
0.754808
30
208
5.2
0.8
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208
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0.917647
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1
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0
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0
2
2e3b58116e2d1f608d6de30c24daeb4023443f20
2,501
py
Python
set_dictionary/abstractdict.py
pinmingkenan/python_structure
8d5d12f739136d49c8585d1e8173ca77fd806180
[ "Apache-2.0" ]
null
null
null
set_dictionary/abstractdict.py
pinmingkenan/python_structure
8d5d12f739136d49c8585d1e8173ca77fd806180
[ "Apache-2.0" ]
null
null
null
set_dictionary/abstractdict.py
pinmingkenan/python_structure
8d5d12f739136d49c8585d1e8173ca77fd806180
[ "Apache-2.0" ]
null
null
null
# coding = utf-8 from inherit_abstract.abstractcollection import AbstractCollection class AbstractDict(AbstractCollection): """ Common data and method implementations for dictionaries. """ def __init__(self, source_collection): """ Will copy items to the collection from source_collection if it's present. """ AbstractCollection.__init__(self) if source_collection: for key, value in source_collection: self[key] = value def __str__(self): return "{" + ", ".join(map(str, self.items())) + "}" def __and__(self, other): """ Returns a new dictionary containing the contents of self adn other. :param other: :return: """ result = type(self)(map(lambda item: (item.key, item.value), self.items())) for key in other: result[key] = other[key] return result def __eq__(self, other): """ Returns True if self equals other, or False otherwise. :param other: :return: """ if self is other: return True if type(self) != type(other) or len(self) != len(other): return False for key in self: if not key in other: return False return True def keys(self): """ Returns a iterator on the keys in the dictionary. :return: """ return iter(self) def values(self): """ Reutrns an iterator on the values in the dictionary. :return: """ return iter(map(lambda key: self[key], self)) def items(self): """ Returns an iterator on the items in the dictionary. :return: """ return iter(map(lambda key: Item(key, self[key]), self)) class Item(object): """ Represents a dictionary item. Supports comparisons by key. """ def __init__(self, key, value): self.key = key self.value = value def __str__(self): return str(self.key) + ":" + str(self.value) def __eq__(self, other): if type(self) != type(other): return False return self.key == other.key def __lt__(self, other): if type(self) != type(other): return False return self.key < other.key def __le__(self, other): if type(self) != type(other): return False return self.key <= other.key
26.326316
83
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2,501
4.65625
0.260417
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0.059657
0.04176
0.271439
0.225951
0.202834
0.202834
0.202834
0.138702
0
0.000606
0.340664
2,501
94
84
26.606383
0.812614
0.222311
0
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false
0
0.021277
0.042553
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0
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2
2e4b63bd5b4769f7df88e32782400d4e36345165
5,920
py
Python
canvas_sdk/methods/gradebook_history.py
david-house-harvard/canvas_python_sdk
9c2e59621a9a5667bc43c253ef801482b241a2c1
[ "MIT" ]
21
2015-06-12T13:49:04.000Z
2021-11-08T05:37:44.000Z
canvas_sdk/methods/gradebook_history.py
david-house-harvard/canvas_python_sdk
9c2e59621a9a5667bc43c253ef801482b241a2c1
[ "MIT" ]
44
2015-02-04T15:26:52.000Z
2021-12-03T17:47:00.000Z
canvas_sdk/methods/gradebook_history.py
david-house-harvard/canvas_python_sdk
9c2e59621a9a5667bc43c253ef801482b241a2c1
[ "MIT" ]
7
2015-07-20T23:56:03.000Z
2021-02-23T17:13:00.000Z
from canvas_sdk import client, utils def days_in_gradebook_history_for_this_course(request_ctx, course_id, per_page=None, **request_kwargs): """ Returns a map of dates to grader/assignment groups :param request_ctx: The request context :type request_ctx: :class:RequestContext :param course_id: (required) The id of the contextual course for this API call :type course_id: integer :param per_page: (optional) Set how many results canvas should return, defaults to config.LIMIT_PER_PAGE :type per_page: integer or None :return: Days in gradebook history for this course :rtype: requests.Response (with array data) """ if per_page is None: per_page = request_ctx.per_page path = '/v1/courses/{course_id}/gradebook_history/days' payload = { 'per_page' : per_page, } url = request_ctx.base_api_url + path.format(course_id=course_id) response = client.get(request_ctx, url, payload=payload, **request_kwargs) return response def details_for_given_date_in_gradebook_history_for_this_course(request_ctx, course_id, date, per_page=None, **request_kwargs): """ Returns the graders who worked on this day, along with the assignments they worked on. More details can be obtained by selecting a grader and assignment and calling the 'submissions' api endpoint for a given date. :param request_ctx: The request context :type request_ctx: :class:RequestContext :param course_id: (required) The id of the contextual course for this API call :type course_id: integer :param date: (required) The date for which you would like to see detailed information :type date: string :param per_page: (optional) Set how many results canvas should return, defaults to config.LIMIT_PER_PAGE :type per_page: integer or None :return: Details for a given date in gradebook history for this course :rtype: requests.Response (with array data) """ if per_page is None: per_page = request_ctx.per_page path = '/v1/courses/{course_id}/gradebook_history/{date}' payload = { 'per_page' : per_page, } url = request_ctx.base_api_url + path.format(course_id=course_id, date=date) response = client.get(request_ctx, url, payload=payload, **request_kwargs) return response def lists_submissions(request_ctx, course_id, date, grader_id, assignment_id, per_page=None, **request_kwargs): """ Gives a nested list of submission versions :param request_ctx: The request context :type request_ctx: :class:RequestContext :param course_id: (required) The id of the contextual course for this API call :type course_id: integer :param date: (required) The date for which you would like to see submissions :type date: string :param grader_id: (required) The ID of the grader for which you want to see submissions :type grader_id: integer :param assignment_id: (required) The ID of the assignment for which you want to see submissions :type assignment_id: integer :param per_page: (optional) Set how many results canvas should return, defaults to config.LIMIT_PER_PAGE :type per_page: integer or None :return: Lists submissions :rtype: requests.Response (with array data) """ if per_page is None: per_page = request_ctx.per_page path = '/v1/courses/{course_id}/gradebook_history/{date}/graders/{grader_id}/assignments/{assignment_id}/submissions' payload = { 'per_page' : per_page, } url = request_ctx.base_api_url + path.format(course_id=course_id, date=date, grader_id=grader_id, assignment_id=assignment_id) response = client.get(request_ctx, url, payload=payload, **request_kwargs) return response def list_uncollated_submission_versions(request_ctx, course_id, assignment_id=None, user_id=None, ascending=None, per_page=None, **request_kwargs): """ Gives a paginated, uncollated list of submission versions for all matching submissions in the context. This SubmissionVersion objects will not include the +new_grade+ or +previous_grade+ keys, only the +grade+; same for +graded_at+ and +grader+. :param request_ctx: The request context :type request_ctx: :class:RequestContext :param course_id: (required) The id of the contextual course for this API call :type course_id: integer :param assignment_id: (optional) The ID of the assignment for which you want to see submissions. If absent, versions of submissions from any assignment in the course are included. :type assignment_id: integer or None :param user_id: (optional) The ID of the user for which you want to see submissions. If absent, versions of submissions from any user in the course are included. :type user_id: integer or None :param ascending: (optional) Returns submission versions in ascending date order (oldest first). If absent, returns submission versions in descending date order (newest first). :type ascending: boolean or None :param per_page: (optional) Set how many results canvas should return, defaults to config.LIMIT_PER_PAGE :type per_page: integer or None :return: List uncollated submission versions :rtype: requests.Response (with array data) """ if per_page is None: per_page = request_ctx.per_page path = '/v1/courses/{course_id}/gradebook_history/feed' payload = { 'assignment_id' : assignment_id, 'user_id' : user_id, 'ascending' : ascending, 'per_page' : per_page, } url = request_ctx.base_api_url + path.format(course_id=course_id) response = client.get(request_ctx, url, payload=payload, **request_kwargs) return response
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2e55cbdc85e25fb41d40bbaf42cdc30151a9b83e
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py
Python
Files/Print_text.py
Adian-kids/AWD-Framework-First
7177d14fd61de780e9b0b0981d8ed4531ee8100a
[ "MIT" ]
4
2020-06-17T04:35:41.000Z
2020-07-27T13:51:43.000Z
Files/Print_text.py
Adian-kids/AWD-Framework-First
7177d14fd61de780e9b0b0981d8ed4531ee8100a
[ "MIT" ]
null
null
null
Files/Print_text.py
Adian-kids/AWD-Framework-First
7177d14fd61de780e9b0b0981d8ed4531ee8100a
[ "MIT" ]
2
2020-10-12T12:49:10.000Z
2021-09-28T02:04:26.000Z
import os def Usage(): print("Commands : ") #输出帮助信息 print("+----------------------------------------------------+") print("|Num|Command | Describe |") print("+----------------------------------------------------+") print("|0. | help | Get Usage(This Page) |") print("|1. | shell | Get into the Single Shell |") print("|2. | send | Send a Command to All servers |") print("|3. | down | Download the Source code |") print("|4. | upload | Upload a file to the website |") print("|5. | log | Download the log of WebServer |") print("|6. | script | Get the Attack Script list |") print("+----------------------------------------------------+") print("You Can type Num or Command to enter the Function which you want,Input 'exit' to break.\n") def Print_Welcome_Message(): #输出欢迎信息 print("+---------------------------------------+") print("| AWD Framework |") print("+---------------------------------------+") print("| Made By AdianGg |") print("| AdianGg's Blog:www.e-wolf.top |") print("| WgpSec:www.wgpsec.org |") print("| Have Fun |") print("+---------------------------------------+") def Scriptlist(): #输出Script目录下所有文件列表 print("All The Scipts from Internet!") for root,dirs,files in os.walk(r"Scripts/"): for file in files: print(os.path.join(root,file))
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2
2e6db740bfd18316b5341b49fe5013fc2673f569
2,980
py
Python
trunk/bin/comparecatalogs.py
drmegannewsome/lcogtsnpipe
f00afa7aa68fb0e7aa35aab57c201e54e293b20b
[ "MIT" ]
null
null
null
trunk/bin/comparecatalogs.py
drmegannewsome/lcogtsnpipe
f00afa7aa68fb0e7aa35aab57c201e54e293b20b
[ "MIT" ]
60
2020-05-11T22:57:18.000Z
2022-03-29T19:40:22.000Z
trunk/bin/comparecatalogs.py
drmegannewsome/lcogtsnpipe
f00afa7aa68fb0e7aa35aab57c201e54e293b20b
[ "MIT" ]
6
2020-09-01T17:32:08.000Z
2022-02-23T13:44:29.000Z
#!/usr/bin/env python import lsc import os import argparse default_catdir = os.path.join(os.getenv('LCOSNDIR', lsc.util.workdirectory), 'standard', 'cat') parser = argparse.ArgumentParser() parser.add_argument('-F', '--force', action='store_true', help="try to download catalog even if we've tried before") parser.add_argument('-R', '--radius', type=float, default=20., help="query for stars within this radius of the coordinates") parser.add_argument('-f', '--field', nargs='+', choices=['landolt', 'apass', 'sloan', 'gaia'], default=['landolt', 'apass', 'sloan', 'gaia'], help="catalogs to check (all by default)") args = parser.parse_args() if args.force: cond = '=""' # empty string means we've checked before and it wasn't there else: cond = ' is null' # null means we haven't checked yet for system in args.field: targets = lsc.mysqldef.query(['select id, ra0, dec0 from targets where ' + system + '_cat' + cond], lsc.conn) print len(targets), 'targets with no', system, 'catalog' print for target in targets: tid = str(target['id']) print 'Target ID', tid names = lsc.mysqldef.query(['select name from targetnames where targetid=' + tid], lsc.conn) print ' aka '.join([n['name'] for n in names]) filepath = os.path.join(default_catdir, system) for name in names: # see en.wikipedia.org/wiki/Filename#Comparison_of_filename_limitations filename = name['name'].translate(None, ' "*:<>?/|\\') + '_' + system + '.cat' fileexists = os.path.isfile(os.path.join(filepath, filename)) if fileexists: print 'Adding', filename, 'to database' lsc.mysqldef.query(['update targets set ' + system + '_cat="' + filename + '", '+ system + '_cat_path where id=' + tid], lsc.conn) break if not fileexists and system != 'landolt': print 'Querying for catalog...' if system == 'apass': os.system('queryapasscat.py -r {ra0} -d {dec0} -R {radius} -o '.format(radius=args.radius, **target) + os.path.join(filepath, filename)) elif system == 'sloan': lsc.lscabsphotdef.sloan2file(target['ra0'], target['dec0'], args.radius, output=os.path.join(filepath, filename)) elif system == 'gaia': lsc.lscabsphotdef.gaia2file(target['ra0'], target['dec0'], output=os.path.join(filepath, filename)) fileexists = os.path.isfile(os.path.join(filepath, filename)) if fileexists: print 'Adding', filename, 'to database' lsc.mysqldef.query(['update targets set ' + system + '_cat="' + filename + '" where id=' + tid], lsc.conn) if not fileexists: print 'No catalog exists' print lsc.mysqldef.query(['update targets set ' + system + '_cat="" where ' + system + '_cat is NULL'], lsc.conn) # change NULL to '' if not in field
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2,980
4.846774
0.362903
0.02995
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0.049917
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2,980
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2
2e74549502ee3fbceab7d78082a65a25de94f1a2
471
py
Python
pyhsgw/hs_set_value.py
zopyx/pyHSgw
42f9cdf375130f601f7a35cf1caee3c5a49ab484
[ "BSD-3-Clause" ]
null
null
null
pyhsgw/hs_set_value.py
zopyx/pyHSgw
42f9cdf375130f601f7a35cf1caee3c5a49ab484
[ "BSD-3-Clause" ]
null
null
null
pyhsgw/hs_set_value.py
zopyx/pyHSgw
42f9cdf375130f601f7a35cf1caee3c5a49ab484
[ "BSD-3-Clause" ]
null
null
null
#!/usr/bin/python import hsgw from sys import argv, exit if len(argv) != 4: print argv[0], "<key> <addr> <value>" (key, addr, value) = argv[1:] print "key =", key print "addr =", addr print "value =", value if not hsgw.initConnection(key = key): print "Could not initialize connection." exit(1) print "Setting value of", hsgw.comm_objects[addr]['name'].encode('utf-8'), "[" + str(addr) + "] to ", value hsgw.setValue(addr, value) hsgw.closeConnection()
21.409091
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4.405797
0.507246
0.088816
0.078947
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0.012755
0.167728
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21
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0
0
0
0
0
1
0
2
2e74ca3a12ea7ed1aacea732de257ba7d9e4fd0b
4,727
py
Python
log_to_blockchain.py
sandialabs/idash2018task1
46a53c882f3c5f81cabb9c1b0a463f1ec6f9f414
[ "BSD-3-Clause" ]
1
2020-08-03T20:52:52.000Z
2020-08-03T20:52:52.000Z
log_to_blockchain.py
sandialabs/idash2018task1
46a53c882f3c5f81cabb9c1b0a463f1ec6f9f414
[ "BSD-3-Clause" ]
null
null
null
log_to_blockchain.py
sandialabs/idash2018task1
46a53c882f3c5f81cabb9c1b0a463f1ec6f9f414
[ "BSD-3-Clause" ]
2
2018-11-25T22:31:08.000Z
2020-08-03T20:52:56.000Z
#TODO: thread to balance optimize disk i/o vs network, try to saturate #TODO: look into the rawtransaction way of doing multiple things at once #TODO: look into optimizing/issuing network directly, instead of through RPC #import subprocess import binascii import math import json import time import random import argparse import os import sys from Savoir import Savoir def insert(api,trps): start_time = time.time() delta = 1.0/float(trps) target_time = None behindct = ontimect = 0 cmd_times = [] addr = api.listaddresses()[0]['address'] #addr = json.loads(subprocess.check_output(["multichain-cli",\ # sys.argv[1],"listaddresses"],\ # stderr=devnull))[0]['address'] numinsertions = 0 d = {} for line in sys.stdin.readlines(): (d['timestamp'],d['node'],d['id'],d['ref-id'],d['user'],\ d['activity'],d['resource']) = line[:-1].split('\t') for int_key in ['node', 'id', 'timestamp', 'user', 'ref-id']: d[int_key] = int(d[int_key]) sends = [] sends.append({'for':'logdata', 'key':'UID_' + str(d['node']) + \ '_' + str(d['id']), 'data': binascii.hexlify(json.dumps(d))}) numinsertions += 1 for (k,v) in d.iteritems(): sends.append({'for':str(k), 'key':str(k)+'_'+str(v), \ 'data': binascii.hexlify('UID_' + str(d['node']) + \ '_' + str(d['id']))}) if k == 'timestamp': sends.append({'for':"node%dtimestamps" % int(d['node']), \ 'key':str(v), \ 'data':binascii.hexlify('UID_' \ + str(d['node'])\ + '_' + str(d['id']))}) #cmd = ['multichain-cli', sys.argv[1], 'createrawsendfrom', \ # '%s' % addr, "{}", "%s" % json.dumps(sends), 'send'] if target_time == None: target_time = time.time() if time.time() >= target_time: behindct += 1 print 'fallen behind :-( (%d+%d=%d)' % (behindct,ontimect,behindct+ontimect) else: ontimect += 1 print 'caught back up :-) (%d+%d=%d)' % (behindct,ontimect,behindct+ontimect) while time.time() < target_time: pass cmd_start = time.time() #subprocess.check_output(cmd,stderr=devnull) api.createrawsendfrom('%s' % addr, {}, sends, 'send') cmd_time = time.time()-cmd_start cmd_times.append(cmd_time) target_time += delta elapsed_time = time.time() - start_time insertionstring = 'insertion took %s seconds, %s secs/record (%s records)' % \ (elapsed_time, elapsed_time/numinsertions, numinsertions) print insertionstring histogram = map(lambda x:0, range(40)) bigger = 0 maxval = 0 for sample in cmd_times: if sample > maxval: maxval = sample bucket = int(math.floor(sample/.1)) if bucket > 39: bigger += 1 else: histogram[bucket] += 1 print histogram print bigger print maxval if __name__=='__main__': parser = argparse.ArgumentParser() parser.add_argument('--rpcuser', \ action='store', \ help='multichain rpc user') parser.add_argument('--rpcport', \ action='store', \ help='multichain rpc port') parser.add_argument('--rpcpasswd', \ action='store', \ help='multichain rpc password') parser.add_argument('--chainname', \ action='store', \ help='multichain chain name') parser.add_argument('--targetrecordspersecond', \ action='store', \ type=int, \ help='attempt to insert at this rate') args = parser.parse_args() if args.rpcuser: rpcuser = args.rpcuser else: rpcuser = 'multichainrpc' if args.rpcpasswd: rpcpasswd = args.rpcpasswd else: filename = '/home/ubuntu/.multichain/logchain/multichain.conf' rpcpasswd = dict(map(lambda y: y.split('='), \ filter(lambda x: x, \ open(filename).read().split('\n'))))['rpcpassword'] rpchost = 'localhost' if args.rpcport: rpcport = args.rpcport else: rpcport = '4920' if args.chainname: chainname = args.chainname else: chainname = 'logchain' #print 'connecting Savoir(%s,%s,%s,%s,%s)' % (rpcuser,rpcpasswd,rpchost,rpcport,chainname) savoirapi = Savoir(rpcuser,rpcpasswd,rpchost,rpcport,chainname) insert(savoirapi,args.targetrecordspersecond)
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2
2e757cbcf7753e1a41bcc35d789ef83c1bf668e3
544
py
Python
fpl/migrations/0017_auto_20180816_2035.py
sornars/leaguetracker
b83cd21db2edfeeeaecc27b768107e5b7bf0cd93
[ "MIT" ]
null
null
null
fpl/migrations/0017_auto_20180816_2035.py
sornars/leaguetracker
b83cd21db2edfeeeaecc27b768107e5b7bf0cd93
[ "MIT" ]
null
null
null
fpl/migrations/0017_auto_20180816_2035.py
sornars/leaguetracker
b83cd21db2edfeeeaecc27b768107e5b7bf0cd93
[ "MIT" ]
null
null
null
# Generated by Django 2.1 on 2018-08-16 20:35 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('fpl', '0016_auto_20180816_2020'), ] operations = [ migrations.AlterField( model_name='classicleague', name='fpl_league_id', field=models.IntegerField(), ), migrations.AlterField( model_name='headtoheadleague', name='fpl_league_id', field=models.IntegerField(), ), ]
22.666667
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2
2e7a4d5bb577ab8e56c7765e7aa74cfa6de7a904
176
py
Python
crawl_cvs-project/crawl_cvs/url_builder.py
MacHu-GWU/learn_scrapy-project
e6324471704a2ba092ec59abedf617d98d18d436
[ "MIT" ]
null
null
null
crawl_cvs-project/crawl_cvs/url_builder.py
MacHu-GWU/learn_scrapy-project
e6324471704a2ba092ec59abedf617d98d18d436
[ "MIT" ]
null
null
null
crawl_cvs-project/crawl_cvs/url_builder.py
MacHu-GWU/learn_scrapy-project
e6324471704a2ba092ec59abedf617d98d18d436
[ "MIT" ]
null
null
null
#!/usr/bin/env python # -*- coding: utf-8 -*- import crawlib class CvsUrlBuilder(crawlib.BaseUrlBuilder): domain = "https://www.cvs.com/" urlbuilder = CvsUrlBuilder()
14.666667
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2
2e7a800956a7899680c40d12d8132141d36264a0
689
py
Python
app/models/oj.py
Kyooooma/view-oj-backend
3b2fc9ed0b8b52029b45cd30f90e8dd925a09d35
[ "Apache-2.0" ]
6
2019-08-05T13:01:19.000Z
2021-07-16T09:59:45.000Z
app/models/oj.py
Kyooooma/view-oj-backend
3b2fc9ed0b8b52029b45cd30f90e8dd925a09d35
[ "Apache-2.0" ]
null
null
null
app/models/oj.py
Kyooooma/view-oj-backend
3b2fc9ed0b8b52029b45cd30f90e8dd925a09d35
[ "Apache-2.0" ]
6
2019-12-05T13:04:38.000Z
2020-07-05T15:05:40.000Z
from sqlalchemy import Boolean, Column, Integer, String from app.models.base import Base class OJ(Base): __tablename__ = 'oj' fields = ['id', 'name', 'status', 'need_password'] id = Column(Integer, primary_key=True, autoincrement=True) name = Column(String(100), unique=True) url = Column(String(1000)) status = Column(Integer, nullable=False) need_password = Column(Boolean, nullable=False, default=False) need_single_thread = Column(Boolean, nullable=False, default=False) @classmethod def get_by_name(cls, name): r = cls.search(name=name)['data'] if r: return r[0] return cls.create(name=name, status=0)
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2e7b8c7a1f96576a8ce83e77e893389b85c02c65
413
py
Python
Expressions/Operations/Pow.py
nerdsupremacist/LlamaLang
84484b03eb24f326d7889c9dd4e9605d4eca9f8d
[ "MIT" ]
5
2019-04-03T12:27:37.000Z
2022-02-18T08:20:12.000Z
Expressions/Operations/Pow.py
nerdsupremacist/LlamaLang
84484b03eb24f326d7889c9dd4e9605d4eca9f8d
[ "MIT" ]
7
2016-05-26T13:46:33.000Z
2016-06-15T20:57:15.000Z
Expressions/Operations/Pow.py
mathiasquintero/LlamaLang
84484b03eb24f326d7889c9dd4e9605d4eca9f8d
[ "MIT" ]
null
null
null
from Expressions.Number import Number class Pow(Number): def __init__(self, left, right): self.left = left self.right = right def eval(self): if self.left.type() == Number and self.right.type() == Number: return self.left.eval() ** self.right.eval() else: raise Exception('Invalid Input: Not Numbers') def type(self): return Number
22.944444
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2
2e8188e1b5844062b4f166f34c4b31931a6fc142
801
py
Python
merlion/models/anomaly/forecast_based/arima.py
ankitakashyap05/Merlion
7dc95fbf64002e22bfce89625bdb76b7a3cbfbfc
[ "BSD-3-Clause" ]
2,215
2021-09-21T18:11:36.000Z
2022-03-31T20:21:42.000Z
merlion/models/anomaly/forecast_based/arima.py
ankitakashyap05/Merlion
7dc95fbf64002e22bfce89625bdb76b7a3cbfbfc
[ "BSD-3-Clause" ]
56
2021-09-22T14:45:50.000Z
2022-03-29T22:28:19.000Z
merlion/models/anomaly/forecast_based/arima.py
ankitakashyap05/Merlion
7dc95fbf64002e22bfce89625bdb76b7a3cbfbfc
[ "BSD-3-Clause" ]
181
2021-09-22T09:04:22.000Z
2022-03-29T16:04:43.000Z
# # Copyright (c) 2021 salesforce.com, inc. # All rights reserved. # SPDX-License-Identifier: BSD-3-Clause # For full license text, see the LICENSE file in the repo root or https://opensource.org/licenses/BSD-3-Clause # """ Classic ARIMA (AutoRegressive Integrated Moving Average) forecasting model, adapted for anomaly detection. """ from merlion.models.anomaly.forecast_based.base import ForecastingDetectorBase from merlion.models.anomaly.base import DetectorConfig from merlion.models.forecast.arima import ArimaConfig, Arima from merlion.post_process.threshold import AggregateAlarms class ArimaDetectorConfig(ArimaConfig, DetectorConfig): _default_threshold = AggregateAlarms(alm_threshold=2.5) class ArimaDetector(ForecastingDetectorBase, Arima): config_class = ArimaDetectorConfig
34.826087
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2
2e8465e06a15db8c637c5ad1006b7946b8ad2cd0
1,788
py
Python
Code/set.py
escofresco/makeschool_cs13_core_ds
74195ea836338c84c912ecd15da3cb7aab229fb5
[ "MIT" ]
null
null
null
Code/set.py
escofresco/makeschool_cs13_core_ds
74195ea836338c84c912ecd15da3cb7aab229fb5
[ "MIT" ]
4
2020-02-17T22:25:41.000Z
2020-03-10T08:49:06.000Z
Code/set.py
escofresco/makeschool_cs13_core_ds
74195ea836338c84c912ecd15da3cb7aab229fb5
[ "MIT" ]
null
null
null
"""This module is a custom implement of the set data type. Implements: Set data type class.""" from binarytree import BinarySearchTree from copy import deepcopy class Set: """Implements a set using BinarySearchTree""" __slots__ = ("data",) def __init__(self, it=()): self.data = BinarySearchTree(it) def add(self, elm): self.data.insert(elm) def remove(self, elm): self.data.delete(elm) def union(self, other_set): bigger_set = max(self, other_set, key=lambda set: set.size) smaller_set = min(self, other_set, key=lambda set: set.size) return Set(self.items() + other_set.items()) def intersection(self, other_set): bigger_set = max(self, other_set, key=lambda set: set.size) smaller_set = min(self, other_set, key=lambda set: set.size) return Set(tuple(elm for elm in smaller_set.items() if bigger_set.contains(elm))) def difference(self, other_set): res = Set() for elm in self.items(): if not other_set.contains(elm): res.add(elm) return res def is_subset(self, other_set): for elm in self.items(): if not other_set.contains(elm): return False return True def items(self): return self.data.items_in_order() def contains(self, elm): return self.data.contains(elm) @property def size(self): return self.data.size def __eq__(self, other): if isinstance(other, BinarySearchTree): return self.data == other elif isinstance(other, Set): return self.data == other.data else: raise TypeError("Can only compare with BinarySearchTree and Set")
28.380952
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1,788
4.521368
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0.090737
0.056711
0.287335
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0.287335
0.287335
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1,788
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0
2
2e84f7f317a9e66ebbebbcae3a975ec7b991d53f
937
py
Python
xos/grpc/tests/api_user_crud.py
pan2za/xos
c2a4da2ccaa12360b2718be303b247866aefdfe6
[ "Apache-2.0" ]
null
null
null
xos/grpc/tests/api_user_crud.py
pan2za/xos
c2a4da2ccaa12360b2718be303b247866aefdfe6
[ "Apache-2.0" ]
5
2020-06-05T17:47:15.000Z
2021-09-23T23:21:27.000Z
xos/grpc/tests/api_user_crud.py
pan2za/xos
c2a4da2ccaa12360b2718be303b247866aefdfe6
[ "Apache-2.0" ]
null
null
null
import sys sys.path.append("..") import grpc_client from testconfig import * print "api_user_crud" #c=grpc_client.InsecureClient("localhost") c=grpc_client.SecureClient("xos-core.cord.lab", username=USERNAME, password=PASSWORD) u=grpc_client.User() import random, string u.email=''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(10)) u.site_id=1 u2=c.stub.CreateUser(u) # update the user u2.password="foobar" c.stub.UpdateUser(u2) # do a listall and make sure user exists u_all = c.stub.ListUser(grpc_client.Empty()).items u_all = [x for x in u_all if x.email == u.email] assert(len(u_all)==1) u3=c.stub.GetUser(grpc_client.ID(id=u2.id)) assert(u3.id == u2.id) assert(u3.password=="foobar") c.stub.DeleteUser(grpc_client.ID(id=u3.id)) # make sure it is deleted u_all = c.stub.ListUser(grpc_client.Empty()).items u_all = [x for x in u_all if x.email == u.email] assert(len(u_all)==0) print " okay"
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1
0
0
0
0
0
2
cf07e4d49362a937cf48cd3216faa6ecbaf0289e
1,142
py
Python
qunetsim/utils/constants.py
rheaparekh/QuNetSim
f09335d4994fc9f82f15c0bebbbe3d21b945b4ea
[ "MIT" ]
null
null
null
qunetsim/utils/constants.py
rheaparekh/QuNetSim
f09335d4994fc9f82f15c0bebbbe3d21b945b4ea
[ "MIT" ]
null
null
null
qunetsim/utils/constants.py
rheaparekh/QuNetSim
f09335d4994fc9f82f15c0bebbbe3d21b945b4ea
[ "MIT" ]
1
2020-09-17T15:43:34.000Z
2020-09-17T15:43:34.000Z
class Constants: # DATA TYPES GENERATE_EPR_IF_NONE = 'generate_epr_if_none' AWAIT_ACK = 'await_ack' SEQUENCE_NUMBER = 'sequence_number' PAYLOAD = 'payload' PAYLOAD_TYPE = 'payload_type' SENDER = 'sender' RECEIVER = 'receiver' PROTOCOL = 'protocol' KEY = 'key' # WAIT TIME WAIT_TIME = 10 # QUBIT TYPES EPR = 0 DATA = 1 GHZ = 2 # DATA KINDS SIGNAL = 'signal' CLASSICAL = 'classical' QUANTUM = 'quantum' # SIGNALS ACK = 'qunetsim_ACK__' NACK = 'qunetsim_NACK__' # PROTOCOL IDs REC_EPR = 'rec_epr' SEND_EPR = 'send_epr' REC_TELEPORT = 'rec_teleport' SEND_TELEPORT = 'send_teleport' REC_SUPERDENSE = 'rec_superdense' SEND_SUPERDENSE = 'send_superdense' REC_CLASSICAL = 'rec_classical' SEND_CLASSICAL = 'send_classical' SEND_BROADCAST = 'send_broadcast' RELAY = 'relay' SEND_QUBIT = 'send_qubit' REC_QUBIT = 'rec_qubit' SEND_KEY = 'send_key' REC_KEY = 'rec_key' SEND_GHZ = 'send_ghz' REC_GHZ = 'rec_ghz' # MISC QUBITS = 'qubits' HOSTS = 'hosts' KEYSIZE = 'keysize'
21.54717
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2
cf2441e808929b6faa57cc3a71cd5dfe5c01ef11
388
py
Python
mach/models.py
RobDBennett/mach2
c6beac71712acbec01fbec68809d759be13e891b
[ "MIT" ]
null
null
null
mach/models.py
RobDBennett/mach2
c6beac71712acbec01fbec68809d759be13e891b
[ "MIT" ]
null
null
null
mach/models.py
RobDBennett/mach2
c6beac71712acbec01fbec68809d759be13e891b
[ "MIT" ]
null
null
null
"""SQLAlchemy models and utility functions for Sprint.""" from flask_sqlalchemy import SQLAlchemy db = SQLAlchemy() class Record(db.Model): id = db.Column(db.Integer, primary_key=True) datetime = db.Column(db.String(25)) value = db.Column(db.Float, nullable=False) def __repr__(self): return f'Record[id:{self.id},datetime{self.datetime},value{self.value}]'
24.25
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1
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2
cf5af642f862583555a72b1ffb31c75257f89438
1,939
py
Python
test.py
iNateDawg/Craft
07cc0002d74ed4842861e318f8fffb1d7883f0e8
[ "MIT" ]
null
null
null
test.py
iNateDawg/Craft
07cc0002d74ed4842861e318f8fffb1d7883f0e8
[ "MIT" ]
23
2020-02-13T23:36:55.000Z
2020-04-27T18:24:04.000Z
test.py
iNateDawg/Craft
07cc0002d74ed4842861e318f8fffb1d7883f0e8
[ "MIT" ]
null
null
null
import normalize norm = normalize.normalize("heightdata.png", 6, 6) class TestNormArray: """test_norm_array references requirement 3.0 because it shows 2x2 block area of (0,0), (0,1), (1,0), (1,1), this area will for sure be a 2x2 block area""" # \brief Ref : Req 3.0 One pixel in topographic image shall correspond to a 2x2 block area def test_norm_array(self): assert norm.getval(0, 0) == 66 assert norm.getval(0, 1) == 66 assert norm.getval(1, 0) == 66 assert norm.getval(1, 1) == 66 """test_array_dimensions reference requirement 3.0 because if each pixel corresponds to a 2x2 area, then the height and width will be doubled from 6x6 to 12x12 as an example""" # \brief Ref : Req 3.0 One pixel in topographic image shall correspond to a 2x2 block area def test_array_dimensions(self): assert norm.height == 12 assert norm.width == 12 # \brief Ref : Req 1.2 Pixel values shall be normalized to represent a realistic range of block heights # \brief Ref : Req 1.3 The realistic range of block heights shall be a minimum of 20 blocks and a maximum of 100 blocks def test_max(self): assert norm.get_max() == [100, 8, 8] # \brief Ref : Req 1.2 Pixel values shall be normalized to represent a realistic range of block heights # \brief Ref : Req 1.3 The realistic range of block heights shall be a minimum of 20 blocks and a maximum of 100 blocks def test_min(self): assert norm.get_min() == [20, 2, 0] class TestProcessImage: # \brief Ref : Req Req 1.1 Topographic image shall be a .png image def test_file_ending(self): ## test file not ending in .png assert normalize.process_image("heightdata.jpg", 10, 10) == 'File must be a .png \n' def test_file_not_found(self): ## test file that doesn't exist assert normalize.process_image("heightfile.png", 10, 10) == None
46.166667
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2
cf5e44c6b2e424b2b5948c67c6cd8e692e1cb91a
916
py
Python
code/util/rototranslation.py
goldleaf3i/declutter-reconstruct
954b755a1eced34af50d31ee2e3938a0b751cc4d
[ "MIT" ]
2
2022-03-14T07:37:45.000Z
2022-03-25T09:01:48.000Z
code/util/rototranslation.py
goldleaf3i/declutter-reconstruct
954b755a1eced34af50d31ee2e3938a0b751cc4d
[ "MIT" ]
1
2022-03-24T07:34:16.000Z
2022-03-27T11:20:27.000Z
code/util/rototranslation.py
goldleaf3i/declutter-reconstruct
954b755a1eced34af50d31ee2e3938a0b751cc4d
[ "MIT" ]
1
2022-03-08T05:37:22.000Z
2022-03-08T05:37:22.000Z
import math def rototranslate(x0, y0, angle): alpha = float(angle)*math.pi/180.0 cos = math.cos sin = math.sin def RT(x, y): return x0+x*cos(alpha)-y*sin(alpha),y0+x*sin(alpha)+y*cos(alpha) return RT def inverseRT(x0, y0, angle): alpha = float(angle)*math.pi/180.0 cos = math.cos sin = math.sin def iRT(x, y): return -x0*cos(alpha)-y0*sin(alpha)+cos(alpha)*x+sin(alpha)*y, x0*sin(alpha)-y0*cos(alpha)-x*sin(alpha)+y*cos(alpha) return iRT def transform_points(x0, y0, angle): # x0,y0 e' il punto da traslare, angle e' l'angolo del piano # calcolo la rotazione del piano rotation = 90-angle inverse = -rotation # proietto le coordinate (0,0) nel sistema di riferimento assoluto nel sistema di riferimento del punto iRT = inverseRT(x0, y0, inverse) (xc, yc) = iRT(0, 0) #restituisco la funzione che transforma rispetto al piano xc yc angolato di alfa return rototranslate(xc,yc,rotation)
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2
cf68231df974fd2bf1dc647492649911b88dec93
925
py
Python
dayu_database/status/__init__.py
phenom-films/dayu_database
221f965a77a5ea1d4074135903d29bc0a9d9b1c7
[ "MIT" ]
7
2018-10-11T07:44:57.000Z
2020-10-08T14:44:52.000Z
dayu_database/status/__init__.py
phenom-films/dayu_database
221f965a77a5ea1d4074135903d29bc0a9d9b1c7
[ "MIT" ]
null
null
null
dayu_database/status/__init__.py
phenom-films/dayu_database
221f965a77a5ea1d4074135903d29bc0a9d9b1c7
[ "MIT" ]
6
2018-10-16T02:54:37.000Z
2022-02-16T13:43:02.000Z
#!/usr/bin/env python # -*- encoding: utf-8 -*- __author__ = 'andyguo' from functools import wraps class DayuDatabaseStatusNotConnect(object): pass class DayuDatabaseStatusConnected(object): pass def validate_status(status): def outter_wrapper(func): @wraps(func) def wrapper(self, *args, **kwargs): current_status = getattr(self, 'status', None) if current_status is None: from dayu_database.error import DayuStatusNotSetError raise DayuStatusNotSetError('{} status not set or without status'.format(self)) if not isinstance(current_status, status): from dayu_database.error import DayuStatusInvalidateError raise DayuStatusInvalidateError('{} not match {}'.format(current_status, status)) return func(self, *args, **kwargs) return wrapper return outter_wrapper
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2
cf72823e6134abf9dc68d82573bb0ef74467bab2
431
py
Python
yepes/contrib/emails/models.py
samuelmaudo/yepes
1ef9a42d4eaa70d9b3e6e7fa519396c1e1174fcb
[ "BSD-3-Clause" ]
null
null
null
yepes/contrib/emails/models.py
samuelmaudo/yepes
1ef9a42d4eaa70d9b3e6e7fa519396c1e1174fcb
[ "BSD-3-Clause" ]
null
null
null
yepes/contrib/emails/models.py
samuelmaudo/yepes
1ef9a42d4eaa70d9b3e6e7fa519396c1e1174fcb
[ "BSD-3-Clause" ]
null
null
null
# -*- coding:utf-8 -*- from yepes.apps import apps AbstractConnection = apps.get_class('emails.abstract_models', 'AbstractConnection') AbstractDelivery = apps.get_class('emails.abstract_models', 'AbstractDelivery') AbstractMessage = apps.get_class('emails.abstract_models', 'AbstractMessage') class Connection(AbstractConnection): pass class Delivery(AbstractDelivery): pass class Message(AbstractMessage): pass
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0
0
2
cf7428c27c691770110fa52f6694724bc3c98a7d
1,345
py
Python
pentominos.py
wusui/pentomino_redux
258b2f541329a6e7e20fc6b58534ab4201b6082f
[ "MIT" ]
null
null
null
pentominos.py
wusui/pentomino_redux
258b2f541329a6e7e20fc6b58534ab4201b6082f
[ "MIT" ]
null
null
null
pentominos.py
wusui/pentomino_redux
258b2f541329a6e7e20fc6b58534ab4201b6082f
[ "MIT" ]
null
null
null
""" Top level function calls for pentomino solver """ from tree_find_pents import build_pent_tree from rect_find_x import solve_case def fill_rectangles_with_pentominos(io_obj=print, low=3, high=7): """ Loop through rectangle sizes and solve for each. build_pent_tree is called to initialize the tree. Io_obj is a routine to be used to display or store results. It defaults to a straight print in python3, but can be overridden. """ _solve_rectangles(build_pent_tree(), tuple(range(low, high)), io_obj) def _solve_rectangles(tree, zrange, io_obj): """ Call wrap_rectangle for all values inside the range of rectangle heights """ tuple(map(_wrap_rectangle(tree)(io_obj), zrange)) def _wrap_rectangle(tree): """ Curry process_rectangle calls (called from inside a map function) """ def _inner0(io_obj): def _inner1(ysize): _process_rectangle(tree, ysize, io_obj) return _inner1 return _inner0 def _process_rectangle(tree, ysize, io_obj): """ Call solve case. Generate layout of the rectangle first (ysize rows each of which are 60 // ysize squares long) """ solve_case([[0 for _ in range(60 // ysize)] for _ in range(ysize)], tree, io_obj) if __name__ == "__main__": fill_rectangles_with_pentominos()
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1
0
0
2
cf746234a79fd1b2603a547db20b86892c27b565
95
py
Python
tests/custom_template_path_root/conf.py
TimKam/sphinx-pretty-searchresults
65fc8133f0fab70627c665e1ccfc6a5d45d16fc3
[ "MIT" ]
12
2016-07-30T21:33:03.000Z
2018-04-30T22:05:07.000Z
tests/custom_template_path_root/conf.py
TimKam/sphinx-pretty-searchresults
65fc8133f0fab70627c665e1ccfc6a5d45d16fc3
[ "MIT" ]
20
2016-08-02T09:34:35.000Z
2018-05-27T12:40:12.000Z
tests/custom_template_path_root/conf.py
TimKam/sphinx-pretty-searchresults
65fc8133f0fab70627c665e1ccfc6a5d45d16fc3
[ "MIT" ]
3
2020-11-23T05:56:53.000Z
2020-11-23T05:57:11.000Z
master_doc = 'index' extensions = ['sphinxprettysearchresults'] templates_path = ['_templates']
31.666667
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3
43
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cf88808935b10cbd4d8294c1021bdfebd7c7988d
3,500
py
Python
test_autofit/tools/test_edenise/test_import.py
rhayes777/PyAutoF
87f56419348833b285b00da1a524e329588e0b01
[ "MIT" ]
39
2019-01-24T10:45:23.000Z
2022-03-18T09:37:59.000Z
test_autofit/tools/test_edenise/test_import.py
rhayes777/PyAutoF
87f56419348833b285b00da1a524e329588e0b01
[ "MIT" ]
260
2018-11-27T12:56:33.000Z
2022-03-31T16:08:59.000Z
test_autofit/tools/test_edenise/test_import.py
rhayes777/PyAutoF
87f56419348833b285b00da1a524e329588e0b01
[ "MIT" ]
13
2018-11-30T16:49:05.000Z
2022-01-21T17:39:29.000Z
import pytest from autofit.tools.edenise import Package, Import, LineItem @pytest.fixture( name="import_" ) def make_import(package): return Import( "from autofit.tools.edenise import Line", parent=package ) @pytest.fixture( name="local_import" ) def make_local_import( package ): return LineItem( " from autofit.tools.edenise import Line", parent=package ) def test_local_import_type( local_import ): assert isinstance( local_import, Import ) def test_local_import_target( local_import ): string = " from VIS_CTI_Autofit.VIS_CTI_Tools.VIS_CTI_Edenise import Line" assert local_import.target_import_string == string def test_project_import(import_, package): import_.parent = package["tools"]["edenise"]["converter"] assert "autofit/tools/edenise" in str(import_.path) assert import_.is_in_project is True def test_non_project_import(package): import_ = Import( "import os", parent=package ) import_.parent = package assert import_.is_in_project is False def test_target_import_string(import_): string = "from VIS_CTI_Autofit.VIS_CTI_Tools.VIS_CTI_Edenise import Line" assert import_.target_import_string == string def test_multi_import( package ): import_ = Import( "from autofit.tools.edenise import Package, File, Import", parent=package ) string = "from VIS_CTI_Autofit.VIS_CTI_Tools.VIS_CTI_Edenise import Package, File, Import" assert import_.target_import_string == string def test_import_as( package ): import_ = Import( "from autofit.tools import edenise as e", parent=package ) string = "from VIS_CTI_Autofit.VIS_CTI_Tools import VIS_CTI_Edenise as e" assert import_.target_import_string == string def test_package_import( package ): import_ = Import( "from autofit.tools import edenise", parent=package["tools"] ) assert isinstance( package["tools"]["edenise"], Package ) assert import_.module_path == ["autofit", "tools"] assert isinstance( import_.module["edenise"], Package ) string = "from VIS_CTI_Autofit.VIS_CTI_Tools import VIS_CTI_Edenise" assert import_.target_import_string == string @pytest.mark.parametrize( "string, result", [ ("from . import util", "from autofit.tools import util"), ("from .. import conf", "from autofit import conf"), ("from ..tools import util", "from autofit.tools import util") ] ) def test_relative_import( package, string, result ): import_ = Import( string, parent=package["tools"]["namer"] ) assert import_.string == result def test_module_import_name( package ): conf = package["conf"] assert conf.target_import_string == "VIS_CTI_Conf as conf" assert conf.target_file_name == "VIS_CTI_Conf.py" package._should_rename_modules = False assert conf.target_import_string == "conf" assert conf.target_file_name == "conf.py" def test_module_path_import_name( package ): package._should_rename_modules = False import_ = Import( "from autofit.non_linear.samples import NestSamples, Sample", parent=package ) assert import_.target_string == "from VIS_CTI_Autofit.VIS_CTI_NonLinear.VIS_CTI_Samples import NestSamples, Sample"
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2
d84175e37630d255baf90653a9fe79cb0117e569
644
py
Python
corere/main/migrations/0012_auto_20210730_1522.py
Xarthisius/dataverse-corere
016b80445c7b226ae7fb44d34daa84399b9acab6
[ "MIT" ]
9
2019-06-18T20:11:27.000Z
2021-02-10T19:20:08.000Z
corere/main/migrations/0012_auto_20210730_1522.py
Xarthisius/dataverse-corere
016b80445c7b226ae7fb44d34daa84399b9acab6
[ "MIT" ]
9
2020-01-10T22:11:56.000Z
2021-07-28T18:19:53.000Z
corere/main/migrations/0012_auto_20210730_1522.py
Xarthisius/dataverse-corere
016b80445c7b226ae7fb44d34daa84399b9acab6
[ "MIT" ]
2
2021-09-17T15:48:28.000Z
2021-10-07T13:32:38.000Z
# Generated by Django 3.2.5 on 2021-07-30 15:22 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('main', '0011_auto_20210729_2147'), ] operations = [ migrations.AddField( model_name='curation', name='needs_verification', field=models.BooleanField(default=True, verbose_name='Needs Verification'), ), migrations.AddField( model_name='historicalcuration', name='needs_verification', field=models.BooleanField(default=True, verbose_name='Needs Verification'), ), ]
26.833333
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2
d84fb543ffa833bbe5448f17c96e8318c6bb4f0d
1,234
py
Python
bin/MLEout2tab_NA.py
gaofeng21cn/IDP-fusion
052ac4f868fd416e10165ef4891804d25edc8862
[ "Apache-2.0" ]
5
2017-09-18T18:21:26.000Z
2020-05-01T23:29:26.000Z
bin/MLEout2tab_NA.py
gaofeng21cn/IDP-fusion
052ac4f868fd416e10165ef4891804d25edc8862
[ "Apache-2.0" ]
3
2018-11-26T16:35:12.000Z
2021-11-22T07:16:51.000Z
bin/MLEout2tab_NA.py
gaofeng21cn/IDP-fusion
052ac4f868fd416e10165ef4891804d25edc8862
[ "Apache-2.0" ]
4
2018-01-02T13:06:39.000Z
2020-04-14T13:20:52.000Z
#!/usr/bin/python import sys import os if len(sys.argv) >= 2 : exp_filename = sys.argv[1] else: print("usage: ") print("or ") sys.exit(1) ################################################################################ exp_dt = {} exp_file = open(exp_filename,'r') i=0 for line in exp_file: ls = line.strip().split('\t') if 1: if i%3 == 0: ls = line.strip().split('\t') gene_name = ls[0] elif i%3 == 1: ID_ls = line.strip().split('\t') elif i%3 == 2: exp_str_ls = line.strip().split('\t') j = 0 for ID in ID_ls: if not exp_dt.has_key(gene_name): exp_dt[gene_name] = {} if not exp_str_ls[j] == "NA": exp_dt[gene_name][ID]= float(exp_str_ls[j]) else: exp_dt[gene_name][ID]= "NA" j += 1 i+=1 exp_file.close() #print exp_dt ################################################################################ for gene_name in exp_dt: for ID in exp_dt[gene_name]: if ID!="Total": print '\t'.join([ID, str(exp_dt[gene_name][ID]), str(exp_dt[gene_name]["Total"])] )
28.697674
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0
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2
d853bf37352fcda986f521a35690300e37f1e3db
145
py
Python
ABC066/ABC066a.py
VolgaKurvar/AtCoder
21acb489f1594bbb1cdc64fbf8421d876b5b476d
[ "Unlicense" ]
null
null
null
ABC066/ABC066a.py
VolgaKurvar/AtCoder
21acb489f1594bbb1cdc64fbf8421d876b5b476d
[ "Unlicense" ]
null
null
null
ABC066/ABC066a.py
VolgaKurvar/AtCoder
21acb489f1594bbb1cdc64fbf8421d876b5b476d
[ "Unlicense" ]
null
null
null
# ABC066a import sys input = sys.stdin.readline sys.setrecursionlimit(10**6) bell = tuple(map(int, input().split())) print(sum(bell)-max(bell))
18.125
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7
40
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2
d8555ee45594776fd2dc1479324c7089491c7c52
694
py
Python
src/plottoolbox/skill_metrics/pc_bias.py
timcera/plottoolbox
b5f4b634d366eb5ba244e2f1fd33a7ef0eba7298
[ "BSD-3-Clause" ]
5
2016-10-13T18:06:41.000Z
2021-06-29T19:47:36.000Z
src/tstoolbox/skill_metrics/pc_bias.py
timcera/tstoolbox
a32fa399d96082f01b7eedfd6c8893bdb881845c
[ "BSD-3-Clause" ]
21
2016-04-28T16:48:03.000Z
2021-12-16T18:07:07.000Z
src/plottoolbox/skill_metrics/pc_bias.py
timcera/plottoolbox
b5f4b634d366eb5ba244e2f1fd33a7ef0eba7298
[ "BSD-3-Clause" ]
3
2018-03-21T21:07:52.000Z
2021-01-22T20:07:49.000Z
# -*- coding: utf-8 -*- import numpy as np from . import utils def pc_bias(simulated, observed): """ Calculate the percent bias between simulated and observed. B = 100.0*sum(s-o)/sum(o) where s is the simulated values, and o is the observed values. Note that s & o must have the same number of values. Input: simulated : simulated field observed : observed field Output: B : percent bias between simulated and observed """ # Check that dimensions of simulated and observed fields match utils.check_arrays(simulated, observed) # Calculate bias in means b = 100.0 * np.sum(simulated - observed) / np.sum(observed) return b
23.133333
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4.686869
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0
1
0
1
0
0
2
d860768aa401303e4e43e3b81af80668a675fe4e
400
py
Python
apps/setup.py
nlantoing/Astrarium
f1899caed01b8946e0e024bca559f5aaafdd69ea
[ "MIT" ]
null
null
null
apps/setup.py
nlantoing/Astrarium
f1899caed01b8946e0e024bca559f5aaafdd69ea
[ "MIT" ]
null
null
null
apps/setup.py
nlantoing/Astrarium
f1899caed01b8946e0e024bca559f5aaafdd69ea
[ "MIT" ]
null
null
null
from setuptools import find_packages, setup setup( name='Astrarium', version='0.0.1', packages=find_packages(), include_package_data=True, zip_safe=False, install_requires=[ 'Flask', 'SQLAlchemy', 'flask_sqlalchemy', 'flask_migrate', 'flask_script', 'flask_cors', 'pytest', 'coverage', 'pykep' ], )
19.047619
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0
0
0
0
0
0
0
0
0
0
0
0
0
null
0
0
0
0
0
0
1
0
0
0
0
0
0
2