Datasets:

ytzi

/

the-stack-dedup-python-scored

like 0

f8bdfba3ce0bde25189979ebc289968a2512c766

py

Python

util/plot_pbt.py

Linus4world/3D-MRI-style-transfer

6747f0b235b8a6e773a941c222d594d9eedc6a35

2022-01-03T16:08:35.000Z

2022-01-03T16:08:35.000Z

util/plot_PBT.py

Linus4world/mrs-gan

64669251584a7421cce3a5173983a2275dcb438a

util/plot_PBT.py

Linus4world/mrs-gan

64669251584a7421cce3a5173983a2275dcb438a

2022-02-11T13:26:38.000Z

2022-02-11T13:26:38.000Z

import math import matplotlib.pyplot as plt import json import os import warnings warnings.filterwarnings("ignore") def make_dataset(dir, file_ext=[]): paths = [] assert os.path.exists(dir) and os.path.isdir(dir), '{} is not a valid directory'.format(dir) for root, _, fnames in sorted(os.walk(dir)): for fname in fnames: for ext in file_ext: if fname.endswith(ext): path = os.path.join(root, fname) paths.append(path) return paths def plotPBT(path): name = path.split('/')[-2] paths = sorted(make_dataset(path, ['result.json'])) scores = [] for i, path in enumerate(paths): scores.append([]) with open(path, 'r') as f: for line in f: step_line = json.loads(line.rstrip()) scores[-1].append(step_line['score']) max_iter = max(list(map(len, scores))) plt.figure() for i in range(len(scores)): plt.plot(scores[i]) x = int(math.ceil(max_iter*1.1/10.0))*10 plt.plot(list(range(x)), [0.15]*x, 'r--') plt.legend([*['_nolegend_']*len(scores), '15% error mark']) plt.xlabel("Steps") plt.ylabel("Mean Relative Error") plt.ylim(bottom=0) plt.savefig('%s.png'%name, format='png', bbox_inches='tight') if __name__ == "__main__": plotPBT('/home/kreitnerl/mrs-gan/ray_results/test_feat/')

f8bec2e6574c370927ccaaf8971ce34b58a52c44

py

Python

Cap_9/ex9.23/ex9.23.py

gguilherme42/Livro-de-Python

465a509d50476fd1a87239c71ed741639d58418b

2020-04-07T00:38:46.000Z

2022-03-10T03:34:42.000Z

Cap_9/ex9.23/ex9.23.py

gguilherme42/Livro-de-Python

465a509d50476fd1a87239c71ed741639d58418b

Cap_9/ex9.23/ex9.23.py

gguilherme42/Livro-de-Python

465a509d50476fd1a87239c71ed741639d58418b

2021-04-22T02:45:38.000Z

2021-04-22T02:45:38.000Z

import agenda23 agenda23.le('Agenda.txt') while True: opcao = agenda23.menu() if opcao == 0: break elif opcao == 1: agenda23.novo() elif opcao == 2: agenda23.altera() elif opcao == 3: agenda23.apaga() elif opcao == 4: agenda23.lista() elif opcao == 5: agenda23.grava() elif opcao == 6: agenda23.le() elif opcao == 7: agenda23.ordena() else: print('Opção inválida! Digite novamente.')

f8bf2336876845664f66233eebc0fc4562e2c6e0

py

Python

stock.py

lokesh-lraj/30-Day-LeetCoding-Challenge-april_2020

270e99be4a178587b2fc89113cdf3a931210e84f

2020-04-18T09:03:21.000Z

2020-04-18T09:03:25.000Z

stock.py

lokesh-lraj/30-Day-LeetCoding-Challenge-april_2020

270e99be4a178587b2fc89113cdf3a931210e84f

stock.py

lokesh-lraj/30-Day-LeetCoding-Challenge-april_2020

270e99be4a178587b2fc89113cdf3a931210e84f

def maxProfit(self, prices: List[int]) -> int: with_stock = -2147483647 without_stock = 0 for stock in prices : with_stock = max(with_stock, without_stock - stock) without_stock = max(without_stock, with_stock + stock) return without_stock

f8c2cf6aa69e132e2490580fb1e86b3b369033e8

py

Python

src/qualtrutils/__init__.py

emanuele-albini/qualtrutils

7f1fb08221edb220738445bf3e8a92a1a037bb76

src/qualtrutils/__init__.py

emanuele-albini/qualtrutils

7f1fb08221edb220738445bf3e8a92a1a037bb76

src/qualtrutils/__init__.py

emanuele-albini/qualtrutils

7f1fb08221edb220738445bf3e8a92a1a037bb76

try: import os import pkg_resources # part of setuptools __version__ = pkg_resources.get_distribution(os.path.dirname(__file__)).version except: pass from .qualtrics import *

f8c3a6ea72bf6a5606bd1c07a86991ac84f55edc

py

Python

image_web/image_app/apps.py

datasciencee/Image_web

28d0d8a3006e64da05bb6ede03b037daaa2897b2

image_web/image_app/apps.py

datasciencee/Image_web

28d0d8a3006e64da05bb6ede03b037daaa2897b2

image_web/image_app/apps.py

datasciencee/Image_web

28d0d8a3006e64da05bb6ede03b037daaa2897b2

from django.apps import AppConfig class ImageAppConfig(AppConfig): name = 'image_app'

f8c595e3b1f5711087075fef4510b16d73d51d2b

py

Python

pyramboia/tasks/views.py

bicofino/Pyramboia

1c291b8fdc71f057a99e7ffbfaa8ba4e713346fd

2016-03-09T13:40:06.000Z

2016-03-09T13:40:06.000Z

pyramboia/tasks/views.py

bicofino/Pyramboia

1c291b8fdc71f057a99e7ffbfaa8ba4e713346fd

pyramboia/tasks/views.py

bicofino/Pyramboia

1c291b8fdc71f057a99e7ffbfaa8ba4e713346fd

2018-03-24T18:03:09.000Z

2018-03-24T18:03:09.000Z

import time import requests import xml.dom.minidom from lxml import etree from django.shortcuts import render from django.http import HttpResponse from django.contrib import messages from django.core.urlresolvers import reverse_lazy from django.views.generic import ListView, DetailView from django.views.generic.edit import CreateView, UpdateView, DeleteView from django.template import RequestContext, loader from .models import Project, Target, Header, Argument, Task, History from django.shortcuts import render, render_to_response, RequestContext, HttpResponseRedirect from .forms import TaskForm, ProjectForm, ArgumentForm, HeaderForm, TargetForm from django.views.generic.edit import FormView from django.db.models import Count from jsonrpc import jsonrpc_method from django.views.generic.edit import CreateView, UpdateView, DeleteView # Create your views here. def home(request): return render_to_response('base.html', locals(), context_instance=RequestContext(request)) @jsonrpc_method('tasks.queueTask') def queueTask(id=None, arguments={}): '''Roda a task''' if id: argument = None tasks = Task.objects.get(id=id) if tasks.requires: result, time_total, text, headers_full, required_tasks, arguments = queueTask( tasks.requires.id, arguments) start = time.time() headers = Header.objects.get(task=tasks.id) target = Target.objects.get(task=tasks.id) headers_full = {'Content-Type': '0', 'SOAPAction': '0'} headers_full['Content-Type'] = '%s;%s' % ( headers.contenttype, headers.charset,) headers_full['SOAPAction'] = tasks.header.soapaction data = tasks.request % arguments response = requests.post( str(target.url), data=data, headers=headers_full).content #tree = etree.XML(response.decode('utf-8', 'ignore')) tree = etree.XML(response) result = (etree.tostring(tree, pretty_print=True, encoding='utf-8')) end = time.time() time_total = end - start if time_total > tasks.threshold: text = 'Alert' else: text = 'OK' args = arguments if argument == None: args = [''] return result, time_total, text, headers_full, tasks, args elif len(Argument.objects.filter(argument=tasks.arguments.argument)) > 0 and not None: for argument in Argument.objects.filter(argument=tasks.arguments.argument): valor = '' try: tree = etree.XML(response) valor = tree.xpath("//*[local-name() = '{0}']".format(tasks.arguments.argument))[0].text except: valor = '' args.setdefault(argument.value, valor) return result, time_total, text, headers_full, tasks, args @jsonrpc_method('tasks.run') def runTask(request, id): '''Apresenta a task''' result, time_total, text, headers_full, tasks, args = queueTask(id, {}) return render_to_response('task_result.html', locals(), context_instance=RequestContext(request)) class ProjectDeleteView(DeleteView): model = Project success_url = reverse_lazy('project-list') def delete(self, request, *args, **kwargs): messages.success( self.request, 'Project {} Successfully Deleted'.format(self.get_object())) return super(ProjectDeleteView, self).delete(self, request, *args, **kwargs) class ProjectListView(ListView): model = Project template_name_suffix = '_list' class ProjectCreateView(CreateView): template_name_suffix = '_create' model = Project form_class = ProjectForm def form_valid(self, form): messages.success( self.request, 'Project {} Successfully Created'.format(self.object)) return super(ProjectCreateView, self).form_valid(form) class ProjectDetailView(DetailView): model = Project class ProjectUpdateView(UpdateView): template_name_suffix = '_create' model = Project form_class = ProjectForm def form_valid(self, form): messages.success(self.request, u'Project updated.') return super(ProjectUpdateView, self).form_valid(form) def all_projects(request): projects = Project.objects.all() return render_to_response('all_projects.html', locals(), context_instance=RequestContext(request)) def addTask(request): form = TasksForm(request.POST or None) if form.is_valid(): save_it = form.save(commit=False) save_it.save() message = 'Add a new task' messages.success(request, 'Your task has been added.') return HttpResponseRedirect('/') return render_to_response('addtask.html', locals(), context_instance=RequestContext(request)) def addArguments(request): form = ArgumentsForm(request.POST or None) if form.is_valid(): save_it = form.save(commit=False) save_it.save() message = 'Add a new argument' messages.success(request, 'Your argument has been added.') return HttpResponseRedirect('/') return render_to_response('addargs.html', locals(), context_instance=RequestContext(request)) class HeaderDeleteView(DeleteView): model = Header success_url = reverse_lazy('header-list') def delete(self, request, *args, **kwargs): messages.success( self.request, 'Header {} Successfully Deleted'.format(self.get_object())) return super(HeaderDeleteView, self).delete(self, request, *args, **kwargs) class HeaderListView(ListView): model = Header template_name_suffix = '_list' class HeaderCreateView(CreateView): template_name_suffix = '_create' model = Header form_class = HeaderForm def form_valid(self, form): messages.success( self.request, 'Project {} Successfully Created'.format(self.object)) return super(HeaderCreateView, self).form_valid(form) class HeaderDetailView(DetailView): model = Header class HeaderUpdateView(UpdateView): template_name_suffix = '_create' model = Header form_class = HeaderForm def form_valid(self, form): messages.success(self.request, u'Project updated.') return super(HeaderUpdateView, self).form_valid(form) # Target Views class TargetDeleteView(DeleteView): model = Target success_url = reverse_lazy('target-list') def delete(self, request, *args, **kwargs): messages.success( self.request, 'Target {} Successfully Deleted'.format(self.get_object())) return super(TargetDeleteView, self).delete(self, request, *args, **kwargs) class TargetListView(ListView): model = Target template_name_suffix = '_list' class TargetCreateView(CreateView): template_name_suffix = '_create' model = Target form_class = TargetForm def form_valid(self, form): messages.success( self.request, 'Target {} Successfully Created'.format(self.object)) return super(TargetCreateView, self).form_valid(form) class TargetDetailView(DetailView): model = Target class TargetUpdateView(UpdateView): template_name_suffix = '_create' model = Target form_class = TargetForm def form_valid(self, form): messages.success(self.request, u'Project updated.') return super(TargetUpdateView, self).form_valid(form) # Argument Views class ArgumentDeleteView(DeleteView): model = Argument success_url = reverse_lazy('argument-list') def delete(self, request, *args, **kwargs): messages.success( self.request, 'Argument {} Successfully Deleted'.format(self.get_object())) return super(ArgumentDeleteView, self).delete(self, request, *args, **kwargs) class ArgumentListView(ListView): model = Argument template_name_suffix = '_list' class ArgumentCreateView(CreateView): template_name_suffix = '_create' model = Argument form_class = ArgumentForm def form_valid(self, form): messages.success( self.request, 'Argument {} Successfully Created'.format(self.object)) return super(ArgumentCreateView, self).form_valid(form) class ArgumentDetailView(DetailView): model = Argument class ArgumentUpdateView(UpdateView): template_name_suffix = '_create' model = Argument form_class = ArgumentForm def form_valid(self, form): messages.success(self.request, u'Argument updated.') return super(ArgumentUpdateView, self).form_valid(form) # Task Views class TaskDeleteView(DeleteView): model = Task success_url = reverse_lazy('task-list') def delete(self, request, *args, **kwargs): messages.success( self.request, 'Task {} Successfully Deleted'.format(self.get_object())) return super(TaskDeleteView, self).delete(self, request, *args, **kwargs) class TaskListView(ListView): model = Task template_name_suffix = '_list' class TaskCreateView(CreateView): template_name_suffix = '_create' model = Task form_class = TaskForm def form_valid(self, form): messages.success( self.request, 'Task {} Successfully Created'.format(self.object)) return super(TaskCreateView, self).form_valid(form) class TaskDetailView(DetailView): model = Task class TaskUpdateView(UpdateView): template_name_suffix = '_create' model = Task form_class = TaskForm def form_valid(self, form): messages.success(self.request, u'Argument updated.') return super(TaskUpdateView, self).form_valid(form)

f8c5dfc6d0cdbf14f1da548855e712503b3de0e5

py

Python

frameworks/MLNet/__init__.py

Ennosigaeon/automlbenchmark

bd3e529d641b64300a075d59408203d537311b7e

2018-09-19T09:45:46.000Z

2022-03-30T04:05:51.000Z

frameworks/MLNet/__init__.py

Ennosigaeon/automlbenchmark

bd3e529d641b64300a075d59408203d537311b7e

2018-11-02T11:43:11.000Z

2022-03-31T08:58:16.000Z

frameworks/MLNet/__init__.py

Ennosigaeon/automlbenchmark

bd3e529d641b64300a075d59408203d537311b7e

2018-10-17T19:32:36.000Z

2022-03-19T22:47:59.000Z

from amlb.utils import call_script_in_same_dir def setup(*args, **kwargs): call_script_in_same_dir(__file__, "setup.sh", *args, **kwargs) def run(dataset, config): from .exec import run return run(dataset, config)

f8c656a1fcea7a9ee14e5a204d4f559a5949f3d3

py

Python

generate_pentagons.py

YessOn/ProjectEuler-Toolkits

cc196c1c6faca32f7613ae40ddb3c7f7b86e071e

generate_pentagons.py

YessOn/ProjectEuler-Toolkits

cc196c1c6faca32f7613ae40ddb3c7f7b86e071e

generate_pentagons.py

YessOn/ProjectEuler-Toolkits

cc196c1c6faca32f7613ae40ddb3c7f7b86e071e

def generate_pentagons(n_of_pentagons): pentagons = (num * (3 * num - 1) // 2 for num in range(1, n_of_pentagons)) for _ in range(n_of_pentagons - 1): yield next(pentagons)

f8c6b59947b8e1e01fbc267420d89e101ab3f722

py

Python

util_test.py

svennickel/itunes-app-scraper

14b857bd40a237825cb6bd93be388e6bcd083c01

2020-08-12T06:47:04.000Z

2021-12-04T03:06:19.000Z

util_test.py

svennickel/itunes-app-scraper

14b857bd40a237825cb6bd93be388e6bcd083c01

2020-11-19T07:53:19.000Z

2022-03-16T15:06:37.000Z

util_test.py

iaine/itunes-app-scraper

de60c8c0b369e78d4c87a0cb11284b2ef576c090

2020-08-12T06:47:31.000Z

2022-03-19T23:36:18.000Z

from itunes_app_scraper.util import AppStoreException, AppStoreCollections, AppStoreCategories, AppStoreUtils import json import pytest import os def test_category_exists(): category = AppStoreCategories() assert category.BOOKS == 6018 def test_category_does_not_exist(): category = AppStoreCategories() with pytest.raises(AttributeError, match="'AppStoreCategories' object has no attribute 'METHOD'"): category.METHOD def test_collection_exists(): collection = AppStoreCollections() assert collection.NEW_IOS == 'newapplications' def test_collection_does_not_exist(): collection = AppStoreCollections() with pytest.raises(AttributeError, match="'AppStoreCollections' object has no attribute 'NOTHING'"): collection.NOTHING def test_app_utils(): utils = AppStoreUtils() json_object = json.loads(utils.get_entries(AppStoreCollections())) assert "names" in json_object

f8c6f95465da9e6fd5b7017053c85eda97db68b6

py

Python

natasha/span.py

baltachev/natasha

b326631c510384b1ce3ac198bce8ed11818ec784

2017-09-05T08:38:42.000Z

2022-03-31T16:08:48.000Z

natasha/span.py

baltachev/natasha

b326631c510384b1ce3ac198bce8ed11818ec784

2017-09-12T12:49:00.000Z

2022-03-25T18:21:12.000Z

natasha/span.py

baltachev/natasha

b326631c510384b1ce3ac198bce8ed11818ec784

2017-09-05T08:38:49.000Z

2022-03-29T12:09:22.000Z

from .record import Record class Span(Record): __attributes__ = ['start', 'stop', 'type'] def adapt_spans(spans): for span in spans: yield Span(span.start, span.stop, span.type) def offset_spans(spans, offset): for span in spans: yield Span( offset + span.start, offset + span.stop, span.type ) def envelop_spans(spans, envelopes): index = 0 for envelope in envelopes: chunk = [] while index < len(spans): span = spans[index] index += 1 if span.start < envelope.start: continue elif span.stop <= envelope.stop: chunk.append(span) else: index -= 1 break yield chunk

f8c7ce0b20cdca0b81d121ae696bffeb609cd523

py

Python

bingads/v13/bulk/entities/bulk_offline_conversion.py

pawelulita/BingAds-Python-SDK

e7b5a618e87a43d0a5e2c79d9aa4626e208797bd

2016-02-29T03:24:28.000Z

2022-03-29T09:30:21.000Z

bingads/v13/bulk/entities/bulk_offline_conversion.py

pawelulita/BingAds-Python-SDK

e7b5a618e87a43d0a5e2c79d9aa4626e208797bd

2016-04-12T13:31:28.000Z

2022-03-29T02:18:51.000Z

bingads/v13/bulk/entities/bulk_offline_conversion.py

pawelulita/BingAds-Python-SDK

e7b5a618e87a43d0a5e2c79d9aa4626e208797bd

2016-04-08T04:11:27.000Z

2022-03-29T21:21:07.000Z

from __future__ import print_function from bingads.service_client import _CAMPAIGN_OBJECT_FACTORY_V13 from bingads.v13.internal.bulk.string_table import _StringTable from bingads.v13.internal.bulk.entities.single_record_bulk_entity import _SingleRecordBulkEntity from bingads.v13.internal.bulk.mappings import _SimpleBulkMapping from bingads.v13.internal.extensions import * class BulkOfflineConversion(_SingleRecordBulkEntity): """ Represents an offline conversion that can be read or written in a bulk file. This class exposes the :attr:`offline_conversion` property that can be read and written as fields of the Keyword record in a bulk file. Properties of this class and of classes that it is derived from, correspond to fields of the Keyword record in a bulk file. For more information, see Keyword at https://go.microsoft.com/fwlink/?linkid=846127. *See also:* * :class:`.BulkServiceManager` * :class:`.BulkOperation` * :class:`.BulkFileReader` * :class:`.BulkFileWriter` """ def __init__(self, offline_conversion=None): super(BulkOfflineConversion, self).__init__() self._offline_conversion = offline_conversion self._adjustment_value = None self._adjustment_time = None self._adjustment_type = None self._adjustment_currency_code = None self._external_attribution_model = None self._external_attribution_credit = None @property def adjustment_value(self): return self._adjustment_value; @adjustment_value.setter def adjustment_value(self, value): self._adjustment_value = value @property def adjustment_time(self): return self._adjustment_time; @adjustment_time.setter def adjustment_time(self, value): self._adjustment_time = value @property def adjustment_type(self): return self._adjustment_type; @adjustment_type.setter def adjustment_type(self, value): self._adjustment_type = value @property def adjustment_currency_code(self): return self._adjustment_currency_code; @adjustment_currency_code.setter def adjustment_currency_code(self, value): self._adjustment_currency_code = value @property def external_attribution_model(self): return self._external_attribution_model; @external_attribution_model.setter def external_attribution_model(self, value): self._external_attribution_model = value @property def external_attribution_credit(self): return self._external_attribution_credit; @external_attribution_credit.setter def external_attribution_credit(self, value): self._external_attribution_credit = value @property def offline_conversion(self): """ The offline conversion Data Object of the Campaign Management Service. """ return self._offline_conversion @offline_conversion.setter def offline_conversion(self, value): self._offline_conversion = value _MAPPINGS = [ _SimpleBulkMapping( header=_StringTable.ConversionCurrencyCode, field_to_csv=lambda c: c.offline_conversion.ConversionCurrencyCode, csv_to_field=lambda c, v: setattr( c.offline_conversion, 'ConversionCurrencyCode', v ) ), _SimpleBulkMapping( header=_StringTable.ConversionName, field_to_csv=lambda c: c.offline_conversion.ConversionName, csv_to_field=lambda c, v: setattr( c.offline_conversion, 'ConversionName', v ) ), _SimpleBulkMapping( header=_StringTable.MicrosoftClickId, field_to_csv=lambda c: c.offline_conversion.MicrosoftClickId, csv_to_field=lambda c, v: setattr( c.offline_conversion, 'MicrosoftClickId', v ) ), _SimpleBulkMapping( header=_StringTable.ConversionValue, field_to_csv=lambda c: c.offline_conversion.ConversionValue, csv_to_field=lambda c, v: setattr( c.offline_conversion, 'ConversionValue', float(v) if v else None ) ), _SimpleBulkMapping( header=_StringTable.ConversionTime, field_to_csv=lambda c: bulk_datetime_str(c.offline_conversion.ConversionTime), csv_to_field=lambda c, v: setattr( c.offline_conversion, 'ConversionTime', parse_datetime(v) if v else None ) ), _SimpleBulkMapping( header=_StringTable.AdjustmentValue, field_to_csv=lambda c: c.adjustment_value, csv_to_field=lambda c, v: setattr( c, 'adjustment_value', float(v) if v else None ) ), _SimpleBulkMapping( header=_StringTable.AdjustmentType, field_to_csv=lambda c: c.adjustment_type, csv_to_field=lambda c, v: setattr( c, 'adjustment_type', v ) ), _SimpleBulkMapping( header=_StringTable.AdjustmentCurrencyCode, field_to_csv=lambda c: c.adjustment_currency_code, csv_to_field=lambda c, v: setattr( c, 'adjustment_currency_code', v ) ), _SimpleBulkMapping( header=_StringTable.ExternalAttributionModel, field_to_csv=lambda c: c.external_attribution_model, csv_to_field=lambda c, v: setattr( c, 'external_attribution_model', v ) ), _SimpleBulkMapping( header=_StringTable.ExternalAttributionCredit, field_to_csv=lambda c: c.external_attribution_credit, csv_to_field=lambda c, v: setattr( c, 'external_attribution_credit', float(v) if v else None ) ), _SimpleBulkMapping( header=_StringTable.AdjustmentTime, field_to_csv=lambda c: bulk_datetime_str(c.adjustment_time), csv_to_field=lambda c, v: setattr( c, 'adjustment_time', parse_datetime(v) if v else None ) ), ] def process_mappings_to_row_values(self, row_values, exclude_readonly_data): self._validate_property_not_null(self._offline_conversion, 'offline_conversion') self.convert_to_values(row_values, BulkOfflineConversion._MAPPINGS) def process_mappings_from_row_values(self, row_values): self._offline_conversion = _CAMPAIGN_OBJECT_FACTORY_V13.create('OfflineConversion') row_values.convert_to_entity(self, BulkOfflineConversion._MAPPINGS) def read_additional_data(self, stream_reader): super(BulkOfflineConversion, self).read_additional_data(stream_reader)

f8c98cbdffeb6bc1eca9320791dd78a1cefdb9cd

py

Python

Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/lti_provider/tests/test_tasks.py

osoco/better-ways-of-thinking-about-software

83e70d23c873509e22362a09a10d3510e10f6992

2021-12-15T04:58:18.000Z

2022-02-06T12:15:37.000Z

Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/lti_provider/tests/test_tasks.py

osoco/better-ways-of-thinking-about-software

83e70d23c873509e22362a09a10d3510e10f6992

Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/lti_provider/tests/test_tasks.py

osoco/better-ways-of-thinking-about-software

83e70d23c873509e22362a09a10d3510e10f6992

2019-01-02T14:38:50.000Z

2019-01-02T14:38:50.000Z

""" Tests for the LTI outcome service handlers, both in outcomes.py and in tasks.py """ from unittest.mock import MagicMock, patch import ddt from django.test import TestCase from opaque_keys.edx.locator import BlockUsageLocator, CourseLocator import lms.djangoapps.lti_provider.tasks as tasks from common.djangoapps.student.tests.factories import UserFactory from lms.djangoapps.lti_provider.models import GradedAssignment, LtiConsumer, OutcomeService class BaseOutcomeTest(TestCase): """ Super type for tests of both the leaf and composite outcome celery tasks. """ def setUp(self): super().setUp() self.course_key = CourseLocator( org='some_org', course='some_course', run='some_run' ) self.usage_key = BlockUsageLocator( course_key=self.course_key, block_type='problem', block_id='block_id' ) self.user = UserFactory.create() self.consumer = LtiConsumer( consumer_name='Lti Consumer Name', consumer_key='consumer_key', consumer_secret='consumer_secret', instance_guid='tool_instance_guid' ) self.consumer.save() outcome = OutcomeService( lis_outcome_service_url='http://example.com/service_url', lti_consumer=self.consumer ) outcome.save() self.assignment = GradedAssignment( user=self.user, course_key=self.course_key, usage_key=self.usage_key, outcome_service=outcome, lis_result_sourcedid='sourcedid', version_number=1, ) self.assignment.save() self.send_score_update_mock = self.setup_patch( 'lms.djangoapps.lti_provider.outcomes.send_score_update', None ) def setup_patch(self, function_name, return_value): """ Patch a method with a given return value, and return the mock """ mock = MagicMock(return_value=return_value) new_patch = patch(function_name, new=mock) new_patch.start() self.addCleanup(new_patch.stop) return mock @ddt.ddt class SendLeafOutcomeTest(BaseOutcomeTest): """ Tests for the send_leaf_outcome method in tasks.py """ @ddt.data( (2.0, 2.0, 1.0), (2.0, 0.0, 0.0), (1, 2, 0.5), ) @ddt.unpack def test_outcome_with_score(self, earned, possible, expected): tasks.send_leaf_outcome( self.assignment.id, earned, possible ) self.send_score_update_mock.assert_called_once_with(self.assignment, expected) @ddt.ddt class SendCompositeOutcomeTest(BaseOutcomeTest): """ Tests for the send_composite_outcome method in tasks.py """ def setUp(self): super().setUp() self.descriptor = MagicMock() self.descriptor.location = BlockUsageLocator( course_key=self.course_key, block_type='problem', block_id='problem', ) self.course_grade = MagicMock() self.course_grade_mock = self.setup_patch( 'lms.djangoapps.lti_provider.tasks.CourseGradeFactory.read', self.course_grade ) self.module_store = MagicMock() self.module_store.get_item = MagicMock(return_value=self.descriptor) self.check_result_mock = self.setup_patch( 'lms.djangoapps.lti_provider.tasks.modulestore', self.module_store ) @ddt.data( (2.0, 2.0, 1.0), (2.0, 0.0, 0.0), (1, 2, 0.5), ) @ddt.unpack def test_outcome_with_score_score(self, earned, possible, expected): self.course_grade.score_for_module = MagicMock(return_value=(earned, possible)) tasks.send_composite_outcome( self.user.id, str(self.course_key), self.assignment.id, 1 ) self.send_score_update_mock.assert_called_once_with(self.assignment, expected) def test_outcome_with_outdated_version(self): self.assignment.version_number = 2 self.assignment.save() tasks.send_composite_outcome( self.user.id, str(self.course_key), self.assignment.id, 1 ) assert self.course_grade_mock.call_count == 0

f8c9d560d993e370d3b1363238c43807ccc5dfd5

py

Python

agents/dumbagent.py

dbelliss/Starcraft2AI

a3044f0eb3c1bb18084fa59265a430ddcdfab80b

2018-04-17T00:37:40.000Z

2018-04-30T03:04:20.000Z

agents/dumbagent.py

dbelliss/Starcraft2AI

a3044f0eb3c1bb18084fa59265a430ddcdfab80b

agents/dumbagent.py

dbelliss/Starcraft2AI

a3044f0eb3c1bb18084fa59265a430ddcdfab80b

from loser_agent import * class DumbAgent(LoserAgent): def __init__(self, is_logging = False, is_printing_to_console = False, isMainAgent = False, fileName = ""): super().__init__(is_logging, is_printing_to_console, isMainAgent) # For debugging self.is_logging = is_logging # Setting this to true to write information to log files in the agents/logs directory self.is_printing_to_console = is_printing_to_console # Setting this to true causes all logs to be printed to the console #ZerglingBanelingRushAgent.mainAgent = self async def on_step(self, iteration, strategy_num = -1): # self.log("Step: %s Overlord: %s" % (str(iteration), str(self.units(OVERLORD).amount))) # self.log("Step: " + str(iteration)) # TEMP: Until strategy is given by Q table #strategy_num = (int)(iteration / 75) % 8 # Build lings, queen, overlords, drones, and meleeattack1 await self.basic_build(iteration) # Perform actions based on given strategy if strategy_num == -1: # self.mainAgent.log("No given strategy") pass else: await self.perform_strategy(iteration, strategy_num) async def basic_build(self, iteration): larvae = self.mainAgent.units(LARVA) if larvae.exists and self.mainAgent.can_afford(DRONE) and self.mainAgent.supply_left > 0: await self.mainAgent.do(larvae.random.train(DRONE)) if larvae.exists and self.mainAgent.can_afford(OVERLORD) and self.mainAgent.supply_left == 0: await self.mainAgent.do(larvae.random.train(OVERLORD)) def main(): # Start game with LoserAgent as the Bot, and begin logging sc2.run_game(sc2.maps.get("Abyssal Reef LE"), [ Bot(Race.Zerg, DumbAgent(True, False, True)), Computer(Race.Protoss, Difficulty.Medium) ], realtime=False) if __name__ == '__main__': main()

f8caa3e778c29557bd6611746d149fdf5e4f18a9

py

Python

juno/server/http/handler/api.py

DSciLab/juno

1d572c8d3fd06a6c1fcc51b42a6539dd3ae0927e

juno/server/http/handler/api.py

DSciLab/juno

1d572c8d3fd06a6c1fcc51b42a6539dd3ae0927e

juno/server/http/handler/api.py

DSciLab/juno

1d572c8d3fd06a6c1fcc51b42a6539dd3ae0927e

from .base.api_handler import APIBaseHandler class APIHandler(APIBaseHandler): def get(self): pass

f8cc12080c230a16858bbc18a05bcd5b93430fe7

py

Python

Python/mathematics/find_missing_number.py

RCubedClub/cp_algo

ec254055ef745224b0a1c766ef16709a3eea7087

Python/mathematics/find_missing_number.py

RCubedClub/cp_algo

ec254055ef745224b0a1c766ef16709a3eea7087

Python/mathematics/find_missing_number.py

RCubedClub/cp_algo

ec254055ef745224b0a1c766ef16709a3eea7087

import random def find(array): summation = sum(array) n = len(array) total = n*(n+1)//2 miss = total - summation return miss def main(): arr = [i for i in range(99)] print(arr) result = find(arr) print("The missing number is-", result) if __name__ == '__main__': main()

f8cda283a32c2452d1728b137c6f236a6921d3ec

py

Python

091. Decode Ways.py

joshlyman/Josh-LeetCode

cc9e2cc406d2cbd5a90ee579efbcaeffb842c5ed

091. Decode Ways.py

joshlyman/Josh-LeetCode

cc9e2cc406d2cbd5a90ee579efbcaeffb842c5ed

091. Decode Ways.py

joshlyman/Josh-LeetCode

cc9e2cc406d2cbd5a90ee579efbcaeffb842c5ed

# Problem Reduction: variation of n-th staircase with n = [1, 2] steps. # Approach: We generate a bottom up DP table. # The tricky part is handling the corner cases (e.g. s = "30"). # Most elegant way to deal with those error/corner cases, is to allocate an extra space, dp[0]. # Let dp[ i ] = the number of ways to parse the string s[1: i + 1] # For example: # s = "231" # index 0: extra base offset. dp[0] = 1 # index 1: # of ways to parse "2" => dp[1] = 1 # index 2: # of ways to parse "23" => "2" and "23", dp[2] = 2 # index 3: # of ways to parse "231" => "2 3 1" and "23 1" => dp[3] = 2 def numDecodings(self, s: str) -> int: if not s or s[0]=='0': return 0 dp = [0 for x in range(len(s) + 1)] # base case initialization dp[0:2] = [1,1] for i in range(2, len(s) + 1): # One step jump if 0 < int(s[i-1:i]): #(2) dp[i] = dp[i - 1] # Two step jump if 10 <= int(s[i-2:i]) <= 26: #(3) dp[i] += dp[i - 2] return dp[-1]

f8cddb9ef6bd722c93b8a3657d1eaf9e8803d45f

py

Python

Scripts/Cutter.py

rhong3/CPTAC-UCEC

ec83fbee234b5ad3df6524cdd960b5f0f3da9ea9

2019-01-04T21:11:03.000Z

2020-12-11T16:56:15.000Z

Scripts/Cutter.py

rhong3/CPTAC-UCEC

ec83fbee234b5ad3df6524cdd960b5f0f3da9ea9

Scripts/Cutter.py

rhong3/CPTAC-UCEC

ec83fbee234b5ad3df6524cdd960b5f0f3da9ea9

""" Tile svs/scn files Created on 11/01/2018 @author: RH """ import time import matplotlib import os import shutil import pandas as pd matplotlib.use('Agg') import Slicer import staintools import re # Get all images in the root directory def image_ids_in(root_dir, mode, ignore=['.DS_Store', 'dict.csv']): ids = [] for id in os.listdir(root_dir): if id in ignore: print('Skipping ID:', id) else: if mode == 'CPTAC': dirname = id.split('_')[-3] sldnum = id.split('_')[-2].split('-')[-1] ids.append((id, dirname, sldnum)) if mode == 'TCGA': dirname = re.split('-01Z|-02Z', id)[0] sldnum = id.split('-')[5].split('.')[0] ids.append((id, dirname, sldnum)) return ids # cut; each level is 2 times difference (20x, 10x, 5x) def cut(): # load standard image for normalization std = staintools.read_image("../colorstandard.png") std = staintools.LuminosityStandardizer.standardize(std) CPTACpath = '../images/CPTAC/' TCGApath = '../images/TCGA/' ref = pd.read_csv('../dummy_His_MUT_joined.csv', header=0) refls = ref['name'].tolist() # cut tiles with coordinates in the name (exclude white) start_time = time.time() CPTAClist = image_ids_in(CPTACpath, 'CPTAC') TCGAlist = image_ids_in(TCGApath, 'TCGA') CPTACpp = pd.DataFrame(CPTAClist, columns=['id', 'dir', 'sld']) CPTACcc = CPTACpp['dir'].value_counts() CPTACcc = CPTACcc[CPTACcc > 1].index.tolist() print(CPTACcc) TCGApp = pd.DataFrame(TCGAlist, columns=['id', 'dir', 'sld']) TCGAcc = TCGApp['dir'].value_counts() TCGAcc = TCGAcc[TCGAcc > 1].index.tolist() print(TCGAcc) # CPTAC for i in CPTAClist: matchrow = ref.loc[ref['name'] == i[1]] if matchrow.empty: continue try: os.mkdir("../tiles/{}".format(i[1])) except(FileExistsError): pass for m in range(4): if m == 0: tff = 1 level = 0 elif m == 1: tff = 2 level = 0 elif m == 2: tff = 1 level = 1 elif m == 3: tff = 2 level = 1 otdir = "../tiles/{}/level{}".format(i[1], str(m)) try: os.mkdir(otdir) except(FileExistsError): pass try: n_x, n_y, raw_img, ct = Slicer.tile(image_file='CPTAC/'+i[0], outdir=otdir, level=level, std_img=std, dp=i[2], ft=tff) except(IndexError): pass if len(os.listdir(otdir)) < 2: shutil.rmtree(otdir, ignore_errors=True) # else: # print("pass: {}".format(str(i))) # TCGA for i in TCGAlist: matchrow = ref.loc[ref['name'] == i[1]] if matchrow.empty: continue try: os.mkdir("../tiles/{}".format(i[1])) except(FileExistsError): pass for m in range(4): if m == 0: tff = 2 level = 0 elif m == 1: tff = 1 level = 1 elif m == 2: tff = 2 level = 1 elif m == 3: tff = 1 level = 2 otdir = "../tiles/{}/level{}".format(i[1], str(m)) try: os.mkdir(otdir) except(FileExistsError): pass try: n_x, n_y, raw_img, ct = Slicer.tile(image_file='TCGA/'+i[0], outdir=otdir, level=level, std_img=std, dp=i[2], ft=tff) except Exception as e: print('Error!') pass if len(os.listdir(otdir)) < 2: shutil.rmtree(otdir, ignore_errors=True) print("--- %s seconds ---" % (time.time() - start_time)) subfolders = [f.name for f in os.scandir('../tiles/') if f.is_dir()] for w in subfolders: if w not in refls: print(w) # # Time measure tool # start_time = time.time() # print("--- %s seconds ---" % (time.time() - start_time)) # Run as main if __name__ == "__main__": if not os.path.isdir('../tiles'): os.mkdir('../tiles') cut()

f8cde62d3add298d347b197159cd3ef0fad71443

py

Python

brake.py

tensorpro/AutonomousBraking

9861e5c0423d8ca1a2f3f640003b3581a3074459

2017-05-04T22:04:48.000Z

2020-03-27T13:06:39.000Z

brake.py

tensorpro/AutonomousBraking

9861e5c0423d8ca1a2f3f640003b3581a3074459

brake.py

tensorpro/AutonomousBraking

9861e5c0423d8ca1a2f3f640003b3581a3074459

2019-07-22T02:19:57.000Z

2020-09-29T21:00:00.000Z

from __future__ import division import numpy as np import matplotlib.pyplot as plt m = 4 b = -.2 bl = -.1 br = -.1 sh = .13 def show_ped(image, bb): im = np.zeros(image.shape[:2]) [ymin, xmin, ymax, xmax] = bb im[ymin:ymax,xmin:xmax]=1 plt.imshow(im) plt.show() def in_region(x,y, m=0, b=0, above=True, from_left=False): x = 1 - x if from_left else x return ((m*x+b) <= y) == above def brakezone(x,y,m=m,b=b,sh=.3): left = in_region(x,y,m,b, above=False) right = in_region(x,y,m,b, above=False, from_left=True) top = in_region(x,y,b=.3, above=False) return left and right and top def brake_policy(m=m, b=b,sh=sh): def policy(x,y): return brakezone(x,y,m=m,b=b, sh=sh) return policy def to_bb(res, img): h, w = img.shape[:2] xmin = res['topleft']['x']/w xmax = res['bottomright']['x']/w ymin = res['topleft']['y']/h ymax = res['bottomright']['y']/h return [ymin, xmin, ymax, xmax] def res_policy(brake_policy): def should_brake(res, in_trajectory=brake_policy): brake = [] for r in res: if r['label'] == 'person': print("Person found") x,y = feet(r) brake.append(in_trajectory(x,y)) return any(brake) return should_brake def feet(res): bb = res['box'] x = (bb.xmax+bb.xmin)/2 y = bb.ymax return x,y def show_brakezone(img, brake_fn=brakezone, saveas=None, show=False): if img is None: out = np.zeros(size) else: out = img.copy() size = img.shape[:2] img_h, img_w = size zone = np.zeros(size) for y_ in range(img_h): for x_ in range(img_w): y = 1-y_/img_h x = x_/img_w brake = brake_fn(x,y) #and not safe_fn(bb) zone[y_,x_]=brake if img is not None and brake: out[y_,x_,0]+=35 # out[y_,x_,0]=min(200,out[y_,x_][0]) if show: plt.imshow(out) plt.show() if saveas: plt.savefig(saveas) return out from visualizations import show_bboxes def find_horizon(img, save="horizon", detect=None, res=None,sh=sh,b=b,m=m): if detect: res = detect(img) sh_in = (raw_input("Enter horizon: ")) b_in = ( raw_input("Enter Intc: ")) m_in = ( raw_input("Enter Slope: ")) update = lambda x, default: float(x) if x is not '' else float(default) b = update(b_in, b) m = update(m_in, m) sh = update(sh_in, sh) print('(b,m,sh)',b,m,sh) brake_fn=brake_policy(sh=sh, m=m, b=b) masked=show_brakezone(img, show=False, brake_fn=brake_fn) if detect: plt.close() res = detect(img) if res: print(res) show_bboxes(masked, res) print(res_policy(brake_fn)(res)) plt.show()

f8d06ccac9f1d3cb709d0653c37332224ffae6f4

py

Python

pysnmp/DPS-MIB-V38.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

2021-02-02T16:27:16.000Z

2021-08-31T06:22:49.000Z

pysnmp/DPS-MIB-V38.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

2021-02-24T17:30:31.000Z

2021-12-08T00:01:18.000Z

pysnmp/DPS-MIB-V38.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

2019-04-30T05:51:36.000Z

2022-02-16T03:33:41.000Z

# # PySNMP MIB module DPS-MIB-V38 (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/DPS-MIB-V38 # Produced by pysmi-0.3.4 at Mon Apr 29 18:39:21 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) # Integer, OctetString, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "Integer", "OctetString", "ObjectIdentifier") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") SingleValueConstraint, ValueRangeConstraint, ConstraintsIntersection, ConstraintsUnion, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "SingleValueConstraint", "ValueRangeConstraint", "ConstraintsIntersection", "ConstraintsUnion", "ValueSizeConstraint") NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance") iso, ModuleIdentity, Unsigned32, Counter64, Gauge32, ObjectIdentity, IpAddress, enterprises, NotificationType, Integer32, Bits, TimeTicks, MibScalar, MibTable, MibTableRow, MibTableColumn, MibIdentifier, Counter32 = mibBuilder.importSymbols("SNMPv2-SMI", "iso", "ModuleIdentity", "Unsigned32", "Counter64", "Gauge32", "ObjectIdentity", "IpAddress", "enterprises", "NotificationType", "Integer32", "Bits", "TimeTicks", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "MibIdentifier", "Counter32") TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString") dpsInc = MibIdentifier((1, 3, 6, 1, 4, 1, 2682)) dpsAlarmControl = MibIdentifier((1, 3, 6, 1, 4, 1, 2682, 1)) tmonXM = MibIdentifier((1, 3, 6, 1, 4, 1, 2682, 1, 1)) tmonIdent = MibIdentifier((1, 3, 6, 1, 4, 1, 2682, 1, 1, 1)) tmonIdentManufacturer = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 1, 1, 1), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: tmonIdentManufacturer.setStatus('mandatory') tmonIdentModel = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 1, 1, 2), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: tmonIdentModel.setStatus('mandatory') tmonIdentSoftwareVersion = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 1, 1, 3), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: tmonIdentSoftwareVersion.setStatus('mandatory') tmonAlarmTable = MibTable((1, 3, 6, 1, 4, 1, 2682, 1, 1, 2), ) if mibBuilder.loadTexts: tmonAlarmTable.setStatus('mandatory') tmonAlarmEntry = MibTableRow((1, 3, 6, 1, 4, 1, 2682, 1, 1, 2, 1), ).setIndexNames((0, "DPS-MIB-V38", "tmonAIndex")) if mibBuilder.loadTexts: tmonAlarmEntry.setStatus('mandatory') tmonAIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 1, 2, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: tmonAIndex.setStatus('mandatory') tmonASite = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 1, 2, 1, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(30, 30)).setFixedLength(30)).setMaxAccess("readonly") if mibBuilder.loadTexts: tmonASite.setStatus('mandatory') tmonADesc = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 1, 2, 1, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(40, 40)).setFixedLength(40)).setMaxAccess("readonly") if mibBuilder.loadTexts: tmonADesc.setStatus('mandatory') tmonAState = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 1, 2, 1, 4), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(8, 8)).setFixedLength(8)).setMaxAccess("readonly") if mibBuilder.loadTexts: tmonAState.setStatus('mandatory') tmonASeverity = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 1, 2, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(8, 8)).setFixedLength(8)).setMaxAccess("readonly") if mibBuilder.loadTexts: tmonASeverity.setStatus('mandatory') tmonAChgDate = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 1, 2, 1, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(8, 8)).setFixedLength(8)).setMaxAccess("readonly") if mibBuilder.loadTexts: tmonAChgDate.setStatus('mandatory') tmonAChgTime = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 1, 2, 1, 7), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(8, 8)).setFixedLength(8)).setMaxAccess("readonly") if mibBuilder.loadTexts: tmonAChgTime.setStatus('mandatory') tmonAAuxDesc = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 1, 2, 1, 8), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(30, 30)).setFixedLength(30)).setMaxAccess("readonly") if mibBuilder.loadTexts: tmonAAuxDesc.setStatus('mandatory') tmonADispDesc = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 1, 2, 1, 9), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(14, 14)).setFixedLength(14)).setMaxAccess("readonly") if mibBuilder.loadTexts: tmonADispDesc.setStatus('mandatory') tmonAPntType = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 1, 2, 1, 10), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: tmonAPntType.setStatus('mandatory') tmonAPort = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 1, 2, 1, 11), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: tmonAPort.setStatus('mandatory') tmonAAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 1, 2, 1, 12), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: tmonAAddress.setStatus('mandatory') tmonADisplay = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 1, 2, 1, 13), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: tmonADisplay.setStatus('mandatory') tmonAPoint = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 1, 2, 1, 14), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: tmonAPoint.setStatus('mandatory') tmonCommandGrid = MibIdentifier((1, 3, 6, 1, 4, 1, 2682, 1, 1, 3)) tmonCPType = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 1, 3, 1), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: tmonCPType.setStatus('mandatory') tmonCPort = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 1, 3, 2), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: tmonCPort.setStatus('mandatory') tmonCAddress = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 1, 3, 3), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: tmonCAddress.setStatus('mandatory') tmonCDisplay = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 1, 3, 4), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: tmonCDisplay.setStatus('mandatory') tmonCPoint = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 1, 3, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 64))).setMaxAccess("readwrite") if mibBuilder.loadTexts: tmonCPoint.setStatus('mandatory') tmonCEvent = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 1, 3, 6), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: tmonCEvent.setStatus('mandatory') tmonCAction = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 1, 3, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 17, 18, 19))).clone(namedValues=NamedValues(("latch", 1), ("release", 2), ("momentary", 3), ("ack", 17), ("tag", 18), ("untag", 19)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: tmonCAction.setStatus('mandatory') tmonCAuxText = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 1, 3, 8), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(30, 30)).setFixedLength(30)).setMaxAccess("readwrite") if mibBuilder.loadTexts: tmonCAuxText.setStatus('mandatory') tmonCResult = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 1, 3, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("success", 1), ("failure", 2), ("pending", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: tmonCResult.setStatus('mandatory') dpsRTU = MibIdentifier((1, 3, 6, 1, 4, 1, 2682, 1, 2)) dpsRTUIdent = MibIdentifier((1, 3, 6, 1, 4, 1, 2682, 1, 2, 1)) dpsRTUManufacturer = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 2, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(30, 30)).setFixedLength(30)).setMaxAccess("readonly") if mibBuilder.loadTexts: dpsRTUManufacturer.setStatus('mandatory') dpsRTUModel = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 2, 1, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(30, 30)).setFixedLength(30)).setMaxAccess("readonly") if mibBuilder.loadTexts: dpsRTUModel.setStatus('mandatory') dpsRTUFirmwareVersion = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 2, 1, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(20, 20)).setFixedLength(20)).setMaxAccess("readonly") if mibBuilder.loadTexts: dpsRTUFirmwareVersion.setStatus('mandatory') dpsRTUDateTime = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 2, 1, 4), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(23, 23)).setFixedLength(23)).setMaxAccess("readwrite") if mibBuilder.loadTexts: dpsRTUDateTime.setStatus('mandatory') dpsRTUSyncReq = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 2, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1))).clone(namedValues=NamedValues(("sync", 1)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: dpsRTUSyncReq.setStatus('mandatory') dpsRTUDisplayGrid = MibTable((1, 3, 6, 1, 4, 1, 2682, 1, 2, 2), ) if mibBuilder.loadTexts: dpsRTUDisplayGrid.setStatus('mandatory') dpsRTUDisplayEntry = MibTableRow((1, 3, 6, 1, 4, 1, 2682, 1, 2, 2, 1), ).setIndexNames((0, "DPS-MIB-V38", "dpsRTUPort"), (0, "DPS-MIB-V38", "dpsRTUAddress"), (0, "DPS-MIB-V38", "dpsRTUDisplay")) if mibBuilder.loadTexts: dpsRTUDisplayEntry.setStatus('mandatory') dpsRTUPort = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 2, 2, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: dpsRTUPort.setStatus('mandatory') dpsRTUAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 2, 2, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: dpsRTUAddress.setStatus('mandatory') dpsRTUDisplay = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 2, 2, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: dpsRTUDisplay.setStatus('mandatory') dpsRTUDispDesc = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 2, 2, 1, 4), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(20, 20)).setFixedLength(20)).setMaxAccess("readonly") if mibBuilder.loadTexts: dpsRTUDispDesc.setStatus('mandatory') dpsRTUPntMap = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 2, 2, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(71, 71)).setFixedLength(71)).setMaxAccess("readonly") if mibBuilder.loadTexts: dpsRTUPntMap.setStatus('mandatory') dpsRTUControlGrid = MibIdentifier((1, 3, 6, 1, 4, 1, 2682, 1, 2, 3)) dpsRTUCPort = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 2, 3, 1), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: dpsRTUCPort.setStatus('mandatory') dpsRTUCAddress = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 2, 3, 2), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: dpsRTUCAddress.setStatus('mandatory') dpsRTUCDisplay = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 2, 3, 3), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: dpsRTUCDisplay.setStatus('mandatory') dpsRTUCPoint = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 2, 3, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 64))).setMaxAccess("readwrite") if mibBuilder.loadTexts: dpsRTUCPoint.setStatus('mandatory') dpsRTUCAction = MibScalar((1, 3, 6, 1, 4, 1, 2682, 1, 2, 3, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("latch", 1), ("release", 2), ("momentary", 3)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: dpsRTUCAction.setStatus('mandatory') dpsRTUAlarmGrid = MibTable((1, 3, 6, 1, 4, 1, 2682, 1, 2, 5), ) if mibBuilder.loadTexts: dpsRTUAlarmGrid.setStatus('mandatory') dpsRTUAlarmEntry = MibTableRow((1, 3, 6, 1, 4, 1, 2682, 1, 2, 5, 1), ).setIndexNames((0, "DPS-MIB-V38", "dpsRTUAPort"), (0, "DPS-MIB-V38", "dpsRTUAAddress"), (0, "DPS-MIB-V38", "dpsRTUADisplay"), (0, "DPS-MIB-V38", "dpsRTUAPoint")) if mibBuilder.loadTexts: dpsRTUAlarmEntry.setStatus('mandatory') dpsRTUAPort = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 2, 5, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: dpsRTUAPort.setStatus('mandatory') dpsRTUAAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 2, 5, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: dpsRTUAAddress.setStatus('mandatory') dpsRTUADisplay = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 2, 5, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: dpsRTUADisplay.setStatus('mandatory') dpsRTUAPoint = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 2, 5, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: dpsRTUAPoint.setStatus('mandatory') dpsRTUAPntDesc = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 2, 5, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(21, 21)).setFixedLength(21)).setMaxAccess("readonly") if mibBuilder.loadTexts: dpsRTUAPntDesc.setStatus('mandatory') dpsRTUAState = MibTableColumn((1, 3, 6, 1, 4, 1, 2682, 1, 2, 5, 1, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(8, 8)).setFixedLength(8)).setMaxAccess("readonly") if mibBuilder.loadTexts: dpsRTUAState.setStatus('mandatory') tmonCRalarmSet = NotificationType((1, 3, 6, 1, 4, 1, 2682, 1, 1) + (0,10)).setObjects(("DPS-MIB-V38", "tmonASite"), ("DPS-MIB-V38", "tmonADesc"), ("DPS-MIB-V38", "tmonAState"), ("DPS-MIB-V38", "tmonASeverity"), ("DPS-MIB-V38", "tmonAChgDate"), ("DPS-MIB-V38", "tmonAChgTime"), ("DPS-MIB-V38", "tmonAAuxDesc"), ("DPS-MIB-V38", "tmonADispDesc"), ("DPS-MIB-V38", "tmonAPntType"), ("DPS-MIB-V38", "tmonAPort"), ("DPS-MIB-V38", "tmonAAddress"), ("DPS-MIB-V38", "tmonADisplay"), ("DPS-MIB-V38", "tmonAPoint"), ("DPS-MIB-V38", "tmonCEvent")) tmonCRalarmClr = NotificationType((1, 3, 6, 1, 4, 1, 2682, 1, 1) + (0,11)).setObjects(("DPS-MIB-V38", "tmonASite"), ("DPS-MIB-V38", "tmonADesc"), ("DPS-MIB-V38", "tmonAState"), ("DPS-MIB-V38", "tmonASeverity"), ("DPS-MIB-V38", "tmonAChgDate"), ("DPS-MIB-V38", "tmonAChgTime"), ("DPS-MIB-V38", "tmonAAuxDesc"), ("DPS-MIB-V38", "tmonADispDesc"), ("DPS-MIB-V38", "tmonAPntType"), ("DPS-MIB-V38", "tmonAPort"), ("DPS-MIB-V38", "tmonAAddress"), ("DPS-MIB-V38", "tmonADisplay"), ("DPS-MIB-V38", "tmonAPoint"), ("DPS-MIB-V38", "tmonCEvent")) tmonMJalarmSet = NotificationType((1, 3, 6, 1, 4, 1, 2682, 1, 1) + (0,12)).setObjects(("DPS-MIB-V38", "tmonASite"), ("DPS-MIB-V38", "tmonADesc"), ("DPS-MIB-V38", "tmonAState"), ("DPS-MIB-V38", "tmonASeverity"), ("DPS-MIB-V38", "tmonAChgDate"), ("DPS-MIB-V38", "tmonAChgTime"), ("DPS-MIB-V38", "tmonAAuxDesc"), ("DPS-MIB-V38", "tmonADispDesc"), ("DPS-MIB-V38", "tmonAPntType"), ("DPS-MIB-V38", "tmonAPort"), ("DPS-MIB-V38", "tmonAAddress"), ("DPS-MIB-V38", "tmonADisplay"), ("DPS-MIB-V38", "tmonAPoint"), ("DPS-MIB-V38", "tmonCEvent")) tmonMJalarmClr = NotificationType((1, 3, 6, 1, 4, 1, 2682, 1, 1) + (0,13)).setObjects(("DPS-MIB-V38", "tmonASite"), ("DPS-MIB-V38", "tmonADesc"), ("DPS-MIB-V38", "tmonAState"), ("DPS-MIB-V38", "tmonASeverity"), ("DPS-MIB-V38", "tmonAChgDate"), ("DPS-MIB-V38", "tmonAChgTime"), ("DPS-MIB-V38", "tmonAAuxDesc"), ("DPS-MIB-V38", "tmonADispDesc"), ("DPS-MIB-V38", "tmonAPntType"), ("DPS-MIB-V38", "tmonAPort"), ("DPS-MIB-V38", "tmonAAddress"), ("DPS-MIB-V38", "tmonADisplay"), ("DPS-MIB-V38", "tmonAPoint"), ("DPS-MIB-V38", "tmonCEvent")) tmonMNalarmSet = NotificationType((1, 3, 6, 1, 4, 1, 2682, 1, 1) + (0,14)).setObjects(("DPS-MIB-V38", "tmonASite"), ("DPS-MIB-V38", "tmonADesc"), ("DPS-MIB-V38", "tmonAState"), ("DPS-MIB-V38", "tmonASeverity"), ("DPS-MIB-V38", "tmonAChgDate"), ("DPS-MIB-V38", "tmonAChgTime"), ("DPS-MIB-V38", "tmonAAuxDesc"), ("DPS-MIB-V38", "tmonADispDesc"), ("DPS-MIB-V38", "tmonAPntType"), ("DPS-MIB-V38", "tmonAPort"), ("DPS-MIB-V38", "tmonAAddress"), ("DPS-MIB-V38", "tmonADisplay"), ("DPS-MIB-V38", "tmonAPoint"), ("DPS-MIB-V38", "tmonCEvent")) tmonMNalarmClr = NotificationType((1, 3, 6, 1, 4, 1, 2682, 1, 1) + (0,15)).setObjects(("DPS-MIB-V38", "tmonASite"), ("DPS-MIB-V38", "tmonADesc"), ("DPS-MIB-V38", "tmonAState"), ("DPS-MIB-V38", "tmonASeverity"), ("DPS-MIB-V38", "tmonAChgDate"), ("DPS-MIB-V38", "tmonAChgTime"), ("DPS-MIB-V38", "tmonAAuxDesc"), ("DPS-MIB-V38", "tmonADispDesc"), ("DPS-MIB-V38", "tmonAPntType"), ("DPS-MIB-V38", "tmonAPort"), ("DPS-MIB-V38", "tmonAAddress"), ("DPS-MIB-V38", "tmonADisplay"), ("DPS-MIB-V38", "tmonAPoint"), ("DPS-MIB-V38", "tmonCEvent")) tmonSTalarmSet = NotificationType((1, 3, 6, 1, 4, 1, 2682, 1, 1) + (0,16)).setObjects(("DPS-MIB-V38", "tmonASite"), ("DPS-MIB-V38", "tmonADesc"), ("DPS-MIB-V38", "tmonAState"), ("DPS-MIB-V38", "tmonASeverity"), ("DPS-MIB-V38", "tmonAChgDate"), ("DPS-MIB-V38", "tmonAChgTime"), ("DPS-MIB-V38", "tmonAAuxDesc"), ("DPS-MIB-V38", "tmonADispDesc"), ("DPS-MIB-V38", "tmonAPntType"), ("DPS-MIB-V38", "tmonAPort"), ("DPS-MIB-V38", "tmonAAddress"), ("DPS-MIB-V38", "tmonADisplay"), ("DPS-MIB-V38", "tmonAPoint"), ("DPS-MIB-V38", "tmonCEvent")) tmonSTalarmClr = NotificationType((1, 3, 6, 1, 4, 1, 2682, 1, 1) + (0,17)).setObjects(("DPS-MIB-V38", "tmonASite"), ("DPS-MIB-V38", "tmonADesc"), ("DPS-MIB-V38", "tmonAState"), ("DPS-MIB-V38", "tmonASeverity"), ("DPS-MIB-V38", "tmonAChgDate"), ("DPS-MIB-V38", "tmonAChgTime"), ("DPS-MIB-V38", "tmonAAuxDesc"), ("DPS-MIB-V38", "tmonADispDesc"), ("DPS-MIB-V38", "tmonAPntType"), ("DPS-MIB-V38", "tmonAPort"), ("DPS-MIB-V38", "tmonAAddress"), ("DPS-MIB-V38", "tmonADisplay"), ("DPS-MIB-V38", "tmonAPoint"), ("DPS-MIB-V38", "tmonCEvent")) dpsRTUPointSet = NotificationType((1, 3, 6, 1, 4, 1, 2682, 1, 2) + (0,20)).setObjects(("DPS-MIB-V38", "sysDescr"), ("DPS-MIB-V38", "sysLocation"), ("DPS-MIB-V38", "dpsRTUDateTime"), ("DPS-MIB-V38", "dpsRTUAPort"), ("DPS-MIB-V38", "dpsRTUAAddress"), ("DPS-MIB-V38", "dpsRTUADisplay"), ("DPS-MIB-V38", "dpsRTUAPoint"), ("DPS-MIB-V38", "dpsRTUAPntDesc"), ("DPS-MIB-V38", "dpsRTUAState")) dpsRTUPointClr = NotificationType((1, 3, 6, 1, 4, 1, 2682, 1, 2) + (0,21)).setObjects(("DPS-MIB-V38", "sysDescr"), ("DPS-MIB-V38", "sysLocation"), ("DPS-MIB-V38", "dpsRTUDateTime"), ("DPS-MIB-V38", "dpsRTUAPort"), ("DPS-MIB-V38", "dpsRTUCAddress"), ("DPS-MIB-V38", "dpsRTUADisplay"), ("DPS-MIB-V38", "dpsRTUAPoint"), ("DPS-MIB-V38", "dpsRTUAPntDesc"), ("DPS-MIB-V38", "dpsRTUAState")) dpsRTUsumPSet = NotificationType((1, 3, 6, 1, 4, 1, 2682, 1, 2) + (0,101)).setObjects(("DPS-MIB-V38", "sysDescr"), ("DPS-MIB-V38", "sysLocation"), ("DPS-MIB-V38", "dpsRTUDateTime")) dpsRTUsumPClr = NotificationType((1, 3, 6, 1, 4, 1, 2682, 1, 2) + (0,102)).setObjects(("DPS-MIB-V38", "sysDescr"), ("DPS-MIB-V38", "sysLocation"), ("DPS-MIB-V38", "dpsRTUDateTime")) dpsRTUcomFailed = NotificationType((1, 3, 6, 1, 4, 1, 2682, 1, 2) + (0,103)).setObjects(("DPS-MIB-V38", "sysDescr"), ("DPS-MIB-V38", "sysLocation"), ("DPS-MIB-V38", "dpsRTUDateTime")) dpsRTUcomRestored = NotificationType((1, 3, 6, 1, 4, 1, 2682, 1, 2) + (0,104)).setObjects(("DPS-MIB-V38", "sysDescr"), ("DPS-MIB-V38", "sysLocation"), ("DPS-MIB-V38", "dpsRTUDateTime")) mibBuilder.exportSymbols("DPS-MIB-V38", tmonAlarmEntry=tmonAlarmEntry, tmonAIndex=tmonAIndex, tmonAChgDate=tmonAChgDate, tmonCAddress=tmonCAddress, tmonSTalarmClr=tmonSTalarmClr, dpsRTUFirmwareVersion=dpsRTUFirmwareVersion, tmonAChgTime=tmonAChgTime, dpsRTUCPoint=dpsRTUCPoint, dpsRTU=dpsRTU, dpsRTUPntMap=dpsRTUPntMap, dpsRTUsumPSet=dpsRTUsumPSet, tmonASite=tmonASite, tmonAlarmTable=tmonAlarmTable, dpsRTUcomFailed=dpsRTUcomFailed, tmonCRalarmSet=tmonCRalarmSet, dpsRTUDisplayEntry=dpsRTUDisplayEntry, dpsRTUAlarmGrid=dpsRTUAlarmGrid, tmonAAddress=tmonAAddress, dpsRTUADisplay=dpsRTUADisplay, dpsRTUDisplayGrid=dpsRTUDisplayGrid, tmonADispDesc=tmonADispDesc, dpsRTUManufacturer=dpsRTUManufacturer, dpsRTUModel=dpsRTUModel, dpsRTUDispDesc=dpsRTUDispDesc, tmonCPoint=tmonCPoint, tmonMJalarmSet=tmonMJalarmSet, dpsRTUAPntDesc=dpsRTUAPntDesc, dpsInc=dpsInc, dpsAlarmControl=dpsAlarmControl, tmonAPort=tmonAPort, dpsRTUAlarmEntry=dpsRTUAlarmEntry, dpsRTUSyncReq=dpsRTUSyncReq, tmonIdent=tmonIdent, tmonASeverity=tmonASeverity, tmonMNalarmClr=tmonMNalarmClr, dpsRTUcomRestored=dpsRTUcomRestored, tmonCAction=tmonCAction, tmonIdentSoftwareVersion=tmonIdentSoftwareVersion, tmonIdentModel=tmonIdentModel, dpsRTUCAction=dpsRTUCAction, tmonMNalarmSet=tmonMNalarmSet, tmonADesc=tmonADesc, tmonCEvent=tmonCEvent, tmonSTalarmSet=tmonSTalarmSet, tmonADisplay=tmonADisplay, dpsRTUIdent=dpsRTUIdent, dpsRTUAPort=dpsRTUAPort, dpsRTUAAddress=dpsRTUAAddress, dpsRTUAddress=dpsRTUAddress, dpsRTUCPort=dpsRTUCPort, tmonAPntType=tmonAPntType, dpsRTUCAddress=dpsRTUCAddress, dpsRTUCDisplay=dpsRTUCDisplay, dpsRTUAState=dpsRTUAState, tmonCResult=tmonCResult, tmonXM=tmonXM, dpsRTUDateTime=dpsRTUDateTime, dpsRTUAPoint=dpsRTUAPoint, dpsRTUsumPClr=dpsRTUsumPClr, tmonCommandGrid=tmonCommandGrid, tmonCPType=tmonCPType, tmonAState=tmonAState, dpsRTUPort=dpsRTUPort, tmonMJalarmClr=tmonMJalarmClr, dpsRTUDisplay=dpsRTUDisplay, dpsRTUPointSet=dpsRTUPointSet, dpsRTUPointClr=dpsRTUPointClr, tmonAPoint=tmonAPoint, tmonCRalarmClr=tmonCRalarmClr, tmonIdentManufacturer=tmonIdentManufacturer, tmonCAuxText=tmonCAuxText, dpsRTUControlGrid=dpsRTUControlGrid, tmonAAuxDesc=tmonAAuxDesc, tmonCPort=tmonCPort, tmonCDisplay=tmonCDisplay)

f8d0c7ea7f201118a072a6fce98f54b42edb4e97

py

Python

Lab5/load_graph.py

YuryMalyshev/CAD-with-Python

ecbb82b8efb436e7089b0895dc898cf956351046

Lab5/load_graph.py

YuryMalyshev/CAD-with-Python

ecbb82b8efb436e7089b0895dc898cf956351046

Lab5/load_graph.py

YuryMalyshev/CAD-with-Python

ecbb82b8efb436e7089b0895dc898cf956351046

import numpy as np def load_graph(path): edges = np.array([]) with open(path, 'r', encoding='utf-8', errors='ignore') as g_file: next(g_file) # skip the header line for line in g_file: try: fields = line.split(",") edges = np.append(edges, [int(fields[0]), int(fields[1]), int(fields[2])], axis=None) edges = np.reshape(edges, (-1,3)) except Exception as e: pass return np.min(edges), np.max(edges), edges

f8d0d6ecca8d12cee0a53f9628644c363e8839b3

py

Python

python/smqtk/utils/simple_timer.py

jbeezley/SMQTK

e6b00f94be95f39bbca52a7983ac3d6d1f86f847

2015-01-07T15:33:29.000Z

2021-08-11T18:34:05.000Z

python/smqtk/utils/simple_timer.py

jbeezley/SMQTK

e6b00f94be95f39bbca52a7983ac3d6d1f86f847

2015-04-08T14:36:51.000Z

2022-03-14T17:55:30.000Z

python/smqtk/utils/simple_timer.py

DigitalCompanion/SMQTK

fc9404b69150ef44f24423844bc80735c0c2b669

2015-01-04T15:00:16.000Z

2021-11-19T18:09:11.000Z

import time from smqtk.utils import SmqtkObject class SimpleTimer (SmqtkObject): """ Little class to wrap the timing of things. To be use with the ``with`` statement. """ def __init__(self, msg, log_func=None, *args): """ Additional arguments are passed to the logging method :param msg: :param log_func: :param args: :return: """ self._log_func = log_func self._msg = msg self._msg_args = args self._s = 0.0 def __enter__(self): if self._log_func: self._log_func(self._msg, *self._msg_args) else: self._log.info(self._msg % self._msg_args) self._s = time.time() def __exit__(self, *_): if self._log_func: self._log_func("%s -> %f s", self._msg % self._msg_args, time.time() - self._s) else: self._log.info("%s -> %f s" % (self._msg % self._msg_args, time.time() - self._s))

f8d1533d26da78b1c9ff1203760b4a5ae33a69c7

py

Python

1546.py

ShawonBarman/URI-Online-judge-Ad-Hoc-level-problem-solution-in-python

9a0f0ad5efd4a9e73589c357ab4b34b7c73a11da

2022-01-14T08:45:32.000Z

2022-01-14T08:45:32.000Z

1546.py

ShawonBarman/URI-Online-judge-Ad-Hoc-level-problem-solution-in-python

9a0f0ad5efd4a9e73589c357ab4b34b7c73a11da

1546.py

ShawonBarman/URI-Online-judge-Ad-Hoc-level-problem-solution-in-python

9a0f0ad5efd4a9e73589c357ab4b34b7c73a11da

arr = ['', 'Rolien', 'Naej', 'Elehcim', 'Odranoel'] n = int(input()) while n != 0: n -= 1 k = int(input()) while k != 0: k -= 1 num = int(input()) print(arr[num])

f8d1e3f53857745560685cc9254effe945b354f9

py

Python

portl.py

blackc8/portl

8be36d67db2041071d5169204902ec9fff6aabe9

portl.py

blackc8/portl

8be36d67db2041071d5169204902ec9fff6aabe9

2020-10-31T15:32:31.000Z

2020-10-31T15:33:11.000Z

portl.py

blackc8/portl

8be36d67db2041071d5169204902ec9fff6aabe9

import socket, time, sys import argparse __version__="0.1" min_port=0 #max_port=65535 max_port=10000 parser = argparse.ArgumentParser(description="a simple python port scanner",epilog="author: blackc8") parser.add_argument("hostname",metavar="<hostname>",help="host to scan") parser.add_argument("-dp","--ddport",help="do not display port",action="store_true") parser.add_argument("-sF","--show_filtered",help="show filtered ports",action="store_true") parser.add_argument("-b","--banner",help="grab the banners of ports",action="store_true") parser.add_argument("-v","--version",help="dispaly version",action="version",version="%(prog)s ("+__version__+")") args=parser.parse_args() def w_log(msg): print(msg) def _exit(error): w_log("[-] {}".format(error)) w_log("exited") sys.exit() def resolve_hostname(hostname): try: IPaddr=socket.gethostbyname(hostname) return IPaddr except socket.error: return 0 def validIP(address): parts = address.split(".") if len(parts) != 4: return False for item in parts: if not 0 <= int(item) <= 255: return False return True def is_open(host,port): sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sock.settimeout(0.5) con = sock.connect_ex((host,port)) sock.close() return con def grab_banner(host,port): try: sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) con = sock.connect((host,port)) sock.settimeout(3) banner = sock.recv(1024) banner = banner.decode().strip('\n') return banner except: return "<no banner>" def scan(hostname,ddport=False,gbanner=False,show_filtered=False): open_ports=[] filtered_ports=[] banners=[] if not validIP(hostname): hostIP=resolve_hostname(hostname) if hostIP == 0: _exit("Unable to resolve hostname ({})") else: host_info="{} ({})".format(hostname,hostIP) else: hostIP=hostname host_info=hostname if not validIP(hostIP): _exit("Invalid IP adddress {}".format(hostIP)) w_log("[i] Scan started at: {}".format(time.asctime())) start_time=time.time() w_log("[+] Scaning host {}".format(host_info)) for port in range(min_port,max_port): port_stat=is_open(hostIP,port) if port_stat == 0: # open port open_ports.append(port) if not ddport: w_log("port: {}".format(port)) w_log(" state: open") if gbanner: banner=grab_banner(hostname,port) banners.append([port, banner]) w_log(" banner: {}".format(banner)) elif port_stat == 11: # filtered port filtered_ports.append(port) if show_filtered: w_log("port: {}".format(port)) w_log(" state: filtered") stop_time=time.time() time_taken=stop_time-start_time w_log("[i] {} open, {} filtered ports are discovered.".format(len(open_ports),len(filtered_ports))) w_log("[i] Scan completed in {:.2f} seconds.".format(time_taken)) return True,open_ports,banners,time_taken if __name__ == "__main__": scan(args.hostname,args.ddport,args.banner,args.show_filtered)

f8d25c456ce1d78680f761522a288c787f746b68

py

Python

Python/MachineLearning_Ng/examples/ex2.py

Ritetsu/lizhe_Notes

4c465b5e23c1e520f9508314cfda7f26517d6dd3

Python/MachineLearning_Ng/examples/ex2.py

Ritetsu/lizhe_Notes

4c465b5e23c1e520f9508314cfda7f26517d6dd3

Python/MachineLearning_Ng/examples/ex2.py

Ritetsu/lizhe_Notes

4c465b5e23c1e520f9508314cfda7f26517d6dd3

2021-07-07T12:01:42.000Z

2021-07-07T12:01:42.000Z

# -*- coding: utf-8 -*- """ Created on Mon Sep 16 20:15:55 2019 @author: Shinelon """ import numpy as np import pandas as pd import matplotlib.pyplot as plt path='ex2data1.txt' data=pd.read_csv(path,header=None,names=['Exam1','Exam2','Admitted']) data.head() #两个分数的散点图，并用颜色编码可视化 positive=data[data['Admitted'].isin([1])] negative=data[data['Admitted'].isin([0])] fig,ax=plt.subplots(figsize=(12,8)) #c=color；s表示图形大小，默认20 ax.scatter(positive['Exam1'],positive['Exam2'],c='b',marker='o',label='Admitted') ax.scatter(negative['Exam1'],negative['Exam2'],c='r',marker='o',label='Unadimitted') ax.legend(loc=4) ax.set_xlabel('Exam1 Score');ax.set_ylabel('Exam2 Score') plt.show()#可见两类间有一个清晰分界 #sigmoid函数 def sigmoid(z): return 1/(1+np.exp(-z))#exp)-z)即e的-z次方 #检验/观察一下sigmoid函数 nums=np.arange(-10,10,1) fig,ax=plt.subplots(figsize=(12,8)) ax.plot(nums,sigmoid(nums),'r') plt.show() def cost(theta,X,y): theta=np.matrix(theta) X=np.matrix(X) y=np.matrix(y) first=np.multiply(-y,np.log(sigmoid(X*theta.T))) second=np.multiply((1-y),np.log(1-sigmoid(X*theta.T))) return np.sum(first-second)/len(X) data.insert(0,'ones',1)#在0列和1列间插入1 cols=data.shape[1] X=data.iloc[:,0:cols-1] y=data.iloc[:,cols-1:cols] X=np.array(X.values) y=np.array(y.values) theta=np.zeros(3) cost(theta,X,y) def gradientDescent(theta,X,y): theta=np.matrix(theta) X=np.matrix(X) y=np.matrix(y) parameters=int(theta.ravel().shape[1]) grad=np.zeros(parameters) error=sigmoid(X*theta.T)-y for i in range(parameters): term=np.multiply(error,X[:,i]) grad[i]=np.sum(term)/len(X) return grad gradientDescent(theta,X,y)#仅求了一次更新的theta #用SciPy的TruncatedNewton寻找最优参数 import scipy.optimize as opt result=opt.fmin_tnc(func=cost,x0=theta,fprime=gradientDescent,args=(X,y)) result#输出theta和代价 cost(result[0],X,y) #建立预测函数 def predict(theta,X): probability=sigmoid(X*theta.T) return [1 if x>=0.5 else 0 for x in probability] theta_min=np.matrix(result[0])#theta_min是1x3数组 predictions=predict(theta_min,X) correct=[1 if((a==1 and b==1) or (a==0 and b==0))\ else 0 for (a,b) in zip(predictions,y)] accuracy=(sum(map(int,correct))/len(correct)) print('accuracy={}'.format(accuracy))#要注意这是训练集的精确度 path2='ex2data2.txt' data2=pd.read_csv(path2,header=None,names=['Test1','Test2','Accepted']) data2.head() positive=data2[data2['Accepted'].isin([1])] negative=data2[data2['Accepted'].isin([0])] fig,ax=plt.subplots(figsize=(12,8)) ax.scatter(positive['Test1'],positive['Test2'],s=50,c='b',\ marker='o',label='Accepted') ax.scatter(negative['Test1'],negative['Test2'],s=50,c='r',\ marker='x',label='Rejected') ax.legend() ax.set_xlabel('Test1 Score') ax.set_ylabel('Test2 Score') plt.show() #非常复杂，没有线性界限；通过线性构造原始特征的多项式中的特征 degree=5 x1=data2['Test1'] x2=data2['Test2'] data2.insert(3,'ones',1) for i in range(1,degree): for j in range(0,i): data2['F'+str(i)+str(j)]=np.power(x1,i-j)*np.power(x2,j) data2.drop('Test1',axis=1,inplace=True)#axis=0为行，1为列；TRUE为在原数据上改动 data2.drop('Test2',axis=1,inplace=True) data2.head() #正则化代价函数 def costReg(theta,X,y,learningRate): theta=np.matrix(theta) X=np.matrix(X) y=np.matrix(y) first=np.multiply(-y,np.log(sigmoid(X*theta.T))) second=np.multiply((1-y),np.log(1-sigmoid(X*theta.T))) reg=(learningRate/(2*len(X)))*np.sum(np.power(theta[:,1:theta.shape[1]],2)) return np.sum(first-second)/len(X)+reg #通过正则化参数加大对theta的惩罚 def gradientReg(theta,X,y,learningRate): theta=np.matrix(theta) X=np.matrix(X) y=np.matrix(y) parameters=int(theta.ravel().shape[1]) grad=np.zeros(parameters) error=sigmoid(X*theta.T)-y for i in range(parameters): term=np.multiply(error,X[:,i]) if(i==0): grad[i]=np.sum(term)/len(X) else: grad[i]=(np.sum(term)/len(X))+(learningRate/len(X))*theta[:,i] return grad#grad即theta cols=data2.shape[1] X2=data2.iloc[:,1:cols] y2=data2.iloc[:,0:1] X2=np.array(X2.values) y2=np.array(y2.values) theta2=np.zeros(11) learningRate=1 costReg(theta2,X2,y2,learningRate) gradientReg(theta2,X2,y2,learningRate) result2=opt.fmin_tnc(func=costReg,x0=theta2,fprime=gradientReg,\ args=(X2,y2,learningRate)) result2 #查看杂训练数据上的准确度 theta_min=np.matrix(result2[0]) predictions=predict(theta_min,X2) correct=[1 if ((a==1 and b==1) or (a==0 and b==0))\ else 0 for (a,b) in zip(predictions,y2)] accuracy=(sum(map(int,correct))/len(correct)) print('accuracy2={}%'.format(accuracy*100)) #用sklearn直接实现 from sklearn import linear_model model=linear_model.LogisticRegression(penalty='l2',\ C=1.0,solver='liblinear') model.fit(X2,y2.ravel()) model.score(X2,y2)

6ef1130a48a6b7d1320ed14916f6226e73d226a4

py

Python

questioning/trade/migrations/0003_auto_20190901_1710.py

PythonerKK/questioning

c30fb2d31a221398df392f4b8faab539d6921ac0

2019-12-31T05:23:27.000Z

2021-03-12T19:23:34.000Z

questioning/trade/migrations/0003_auto_20190901_1710.py

PythonerKK/questioning

c30fb2d31a221398df392f4b8faab539d6921ac0

2020-05-12T13:39:40.000Z

2021-02-08T20:35:18.000Z

questioning/trade/migrations/0003_auto_20190901_1710.py

PythonerKK/questioning

c30fb2d31a221398df392f4b8faab539d6921ac0

2019-09-02T07:15:16.000Z

2019-09-02T07:15:16.000Z

# Generated by Django 2.1.9 on 2019-09-01 09:10 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('trade', '0002_accountdetail_orderinfo'), migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.AddField( model_name='orderinfo', name='user', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, verbose_name='用户'), ), migrations.AddField( model_name='accountdetail', name='user', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, verbose_name='用户'), ), ]

6ef13886b158bd50cda282a2108b24f47033b23c

py

Python

Ch5/rbf.py

jason-168/MLCode

429c17e004fb41ba16c371416c8f73833ab8fc1d

2016-05-24T02:55:53.000Z

2022-03-23T14:54:42.000Z

Ch5/rbf.py

coky/MarslandMLAlgo

4277b24db88c4cb70d6b249921c5d21bc8f86eb4

2017-08-17T23:07:39.000Z

2017-08-18T08:27:19.000Z

Ch5/rbf.py

coky/MarslandMLAlgo

4277b24db88c4cb70d6b249921c5d21bc8f86eb4

2016-05-06T12:34:33.000Z

2022-03-30T03:31:04.000Z

# Code from Chapter 5 of Machine Learning: An Algorithmic Perspective (2nd Edition) # by Stephen Marsland (http://stephenmonika.net) # You are free to use, change, or redistribute the code in any way you wish for # non-commercial purposes, but please maintain the name of the original author. # This code comes with no warranty of any kind. # Stephen Marsland, 2008, 2014 import numpy as np import pcn import kmeans class rbf: """ The Radial Basis Function network Parameters are number of RBFs, and their width, how to train the network (pseudo-inverse or kmeans) and whether the RBFs are normalised""" def __init__(self,inputs,targets,nRBF,sigma=0,usekmeans=0,normalise=0): self.nin = np.shape(inputs)[1] self.nout = np.shape(targets)[1] self.ndata = np.shape(inputs)[0] self.nRBF = nRBF self.usekmeans = usekmeans self.normalise = normalise if usekmeans: self.kmeansnet = kmeans.kmeans(self.nRBF,inputs) self.hidden = np.zeros((self.ndata,self.nRBF+1)) if sigma==0: # Set width of Gaussians d = (inputs.max(axis=0)-inputs.min(axis=0)).max() self.sigma = d/np.sqrt(2*nRBF) else: self.sigma = sigma self.perceptron = pcn.pcn(self.hidden[:,:-1],targets) # Initialise network self.weights1 = np.zeros((self.nin,self.nRBF)) def rbftrain(self,inputs,targets,eta=0.25,niterations=100): if self.usekmeans==0: # Version 1: set RBFs to be datapoints indices = range(self.ndata) np.random.shuffle(indices) for i in range(self.nRBF): self.weights1[:,i] = inputs[indices[i],:] else: # Version 2: use k-means self.weights1 = np.transpose(self.kmeansnet.kmeanstrain(inputs)) for i in range(self.nRBF): self.hidden[:,i] = np.exp(-np.sum((inputs - np.ones((1,self.nin))*self.weights1[:,i])**2,axis=1)/(2*self.sigma**2)) if self.normalise: self.hidden[:,:-1] /= np.transpose(np.ones((1,np.shape(self.hidden)[0]))*self.hidden[:,:-1].sum(axis=1)) # Call Perceptron without bias node (since it adds its own) self.perceptron.pcntrain(self.hidden[:,:-1],targets,eta,niterations) def rbffwd(self,inputs): hidden = np.zeros((np.shape(inputs)[0],self.nRBF+1)) for i in range(self.nRBF): hidden[:,i] = np.exp(-np.sum((inputs - np.ones((1,self.nin))*self.weights1[:,i])**2,axis=1)/(2*self.sigma**2)) if self.normalise: hidden[:,:-1] /= np.transpose(ones((1,np.shape(hidden)[0]))*hidden[:,:-1].sum(axis=1)) # Add the bias hidden[:,-1] = -1 outputs = self.perceptron.pcnfwd(hidden) return outputs def confmat(self,inputs,targets): """Confusion matrix""" outputs = self.rbffwd(inputs) nClasses = np.shape(targets)[1] if nClasses==1: nClasses = 2 outputs = np.where(outputs>0,1,0) else: # 1-of-N encoding outputs = np.argmax(outputs,1) targets = np.argmax(targets,1) cm = np.zeros((nClasses,nClasses)) for i in range(nClasses): for j in range(nClasses): cm[i,j] = np.sum(np.where(outputs==i,1,0)*np.where(targets==j,1,0)) print cm print np.trace(cm)/np.sum(cm)

6ef1936814cf84ad0a8d2c89da28ee0ee1c74c44

py

Python

_correlation_grad.py

jgorgenucsd/corr_tf

ad777821283f7d18d8bdd04d584e12df9a3fba69

2017-12-27T07:37:14.000Z

2021-11-15T05:51:44.000Z

_correlation_grad.py

jgorgenucsd/corr_tf

ad777821283f7d18d8bdd04d584e12df9a3fba69

2018-04-03T17:08:43.000Z

2019-08-07T08:55:24.000Z

_correlation_grad.py

jgorgenucsd/corr_tf

ad777821283f7d18d8bdd04d584e12df9a3fba69

2018-02-06T02:35:12.000Z

2022-03-02T07:18:19.000Z

#!/usr/bin/env python3 """ Gradients for inner product. """ import tensorflow as tf from tensorflow.python.framework import ops from tensorflow.python.ops import array_ops from tensorflow.python.ops import sparse_ops correlation_grad_module = tf.load_op_library('./build/libcorrelation_grad.so') @ops.RegisterGradient("Correlation") def _correlation_grad_cc(op, grad): """ The gradient for `correlation` using the operation implemented in C++. :param op: `correlation` `Operation` that we are differentiating, which we can use to find the inputs and outputs of the original op. :param grad: gradient with respect to the output of the `correlation` op. :return: gradients with respect to the input of `correlation`. """ return correlation_grad_module.correlation_grad(grad, op.inputs[0], op.inputs[1],stride=op.get_attr('stride'),max_displacement=op.get_attr('max_displacement'))

6ef32ce891baec71eb1386e2c2b81b8e89a8b9a4

py

Python

src/hcrystalball/metrics/__init__.py

betatim/hcrystalball

693b9b406f05afa23cfc4647c43260166a7076fe

2021-04-12T17:08:17.000Z

2021-04-12T17:08:17.000Z

src/hcrystalball/metrics/__init__.py

betatim/hcrystalball

693b9b406f05afa23cfc4647c43260166a7076fe

src/hcrystalball/metrics/__init__.py

betatim/hcrystalball

693b9b406f05afa23cfc4647c43260166a7076fe

2022-01-03T16:02:35.000Z

2022-01-03T16:02:35.000Z

from ._scorer import make_ts_scorer from ._scorer import get_scorer __all__ = [ "get_scorer", "make_ts_scorer", ]

6ef9b4082cb1779ade1e3f88552ad789562c6383

py

Python

tests/selenium/auth/test_user.py

bodik/sner4-web

cb054d79c587b2f8468c73a88754b7c0d5cd5a95

2019-05-15T11:33:43.000Z

2022-02-17T04:05:28.000Z

tests/selenium/auth/test_user.py

bodik/sner4

cb054d79c587b2f8468c73a88754b7c0d5cd5a95

2019-03-01T11:48:13.000Z

2019-03-01T11:48:13.000Z

tests/selenium/auth/test_user.py

bodik/sner4-web

cb054d79c587b2f8468c73a88754b7c0d5cd5a95

2020-03-03T21:06:37.000Z

2021-01-11T14:40:56.000Z

# This file is part of sner4 project governed by MIT license, see the LICENSE.txt file. """ auth.views.user selenium tests """ from flask import url_for from selenium.webdriver.common.by import By from selenium.webdriver.support import expected_conditions as EC from sner.server.auth.models import User from sner.server.extensions import db from tests.selenium import dt_inrow_delete, dt_rendered, webdriver_waituntil def test_user_list_route(live_server, sl_admin, user): # pylint: disable=unused-argument """simple test ajaxed datatable rendering""" sl_admin.get(url_for('auth.user_list_route', _external=True)) dt_rendered(sl_admin, 'user_list_table', user.username) def test_user_list_route_inrow_delete(live_server, sl_admin, user): # pylint: disable=unused-argument """delete user inrow button""" user_id = user.id db.session.expunge(user) sl_admin.get(url_for('auth.user_list_route', _external=True)) # in this test-case there are multiple items in the table (current_user, test_user), hence index which to delete has to be used dt_inrow_delete(sl_admin, 'user_list_table', 1) assert not User.query.get(user_id) def test_user_apikey_route(live_server, sl_admin, user): # pylint: disable=unused-argument """apikey generation/revoking feature tests""" sl_admin.get(url_for('auth.user_list_route', _external=True)) dt_rendered(sl_admin, 'user_list_table', user.username) # disable fade, the timing interferes with the test sl_admin.execute_script('$("div#modal-global").toggleClass("fade")') sl_admin.find_element_by_xpath('//a[@data-url="%s"]' % url_for('auth.user_apikey_route', user_id=user.id, action='generate')).click() webdriver_waituntil(sl_admin, EC.visibility_of_element_located((By.XPATH, '//h4[@class="modal-title" and text()="Apikey operation"]'))) sl_admin.find_element_by_xpath('//div[@id="modal-global"]//button[@class="close"]').click() webdriver_waituntil(sl_admin, EC.invisibility_of_element_located((By.XPATH, '//div[@class="modal-global"'))) dt_rendered(sl_admin, 'user_list_table', user.username) db.session.refresh(user) assert user.apikey sl_admin.find_element_by_xpath('//a[@data-url="%s"]' % url_for('auth.user_apikey_route', user_id=user.id, action='revoke')).click() webdriver_waituntil(sl_admin, EC.visibility_of_element_located((By.XPATH, '//h4[@class="modal-title" and text()="Apikey operation"]'))) sl_admin.find_element_by_xpath('//div[@id="modal-global"]//button[@class="close"]').click() webdriver_waituntil(sl_admin, EC.invisibility_of_element_located((By.XPATH, '//div[@class="modal-global"'))) dt_rendered(sl_admin, 'user_list_table', user.username) db.session.refresh(user) assert not user.apikey

6efaa56371bdc91af714b2ef343d987547b208e3

py

Python

isobmff/media_file.py

kentoku24/isobmff

6877505a75915caf440bbb80b6024ba6bf9f3baa

2017-08-31T01:55:37.000Z

2018-12-26T03:03:24.000Z

isobmff/media_file.py

kentoku24/isobmff

6877505a75915caf440bbb80b6024ba6bf9f3baa

2017-08-29T03:47:16.000Z

2017-09-05T09:00:17.000Z

isobmff/media_file.py

m-hiki/isbmff

0724b9892884ae35bdd0796a97a9506098c4cd25

# -*- coding: utf-8 -*- from .box import indent from .box import read_box class MediaFile(object): def __init__(self): self.ftyp = None self.mdats = [] self.meta = None self.moov = None def __repr__(self): rep = self.ftyp.__repr__() + '\n' rep += self.meta.__repr__() + '\n' rep += self.moov.__repr__() + '\n' for mdat in self.mdats: rep += mdat.__repr__() + '\n' return 'ISOBaseMediaFile\n' + indent(rep) def read(self, file_name): file = open(file_name, 'rb') try: while True: box = read_box(file) if not box: break if box.box_type == 'mdat': self.mdats.append(box) else: setattr(self, box.box_type, box) finally: file.close()

6efc120e05e2c5cbca1587bd26026c11c811582c

py

Python

python homework 2.py

pkpatricia/python34

5ee4f864444b8835f8ee6cf416bc9fd1d969595b

python homework 2.py

pkpatricia/python34

5ee4f864444b8835f8ee6cf416bc9fd1d969595b

python homework 2.py

pkpatricia/python34

5ee4f864444b8835f8ee6cf416bc9fd1d969595b

Python 3.4.1 (v3.4.1:c0e311e010fc, May 18 2014, 10:38:22) [MSC v.1600 32 bit (Intel)] on win32 Type "copyright", "credits" or "license()" for more information. >>> ================================ RESTART ================================ >>> >>> ================================ RESTART ================================ >>> What is your favorite color?blue I like that color too >>> ================================ RESTART ================================ >>> What is your favorite color?black I do not care too much for that color >>> ================================ RESTART ================================ >>> What is your favorite color?green That is my favorite color. >>> ================================ RESTART ================================ >>> What is your favorite color?green That is my 2nd favorite color. >>> ================================ RESTART ================================ >>> What is your favorite color?violet Traceback (most recent call last): File "C:/Users/P/Desktop/two_b.py", line 7, in <module> rank = color.index(pick) + 1 ValueError: 'violet' is not in list >>> ================================ RESTART ================================ >>> What is your favorite color?violet I do not care too much for that color >>> ================================ RESTART ================================ >>> What is your favorite color?yello I do not care too much for that color >>> ================================ RESTART ================================ >>> What is your favorite color?yellow That is my 6th favorite color. >>> ================================ RESTART ================================ >>> Bach Antheil Chopin Mozart Handel >>> ================================ RESTART ================================ >>> Please enter a lower bound: 4 Please enter an upper bound: 23 2**4=16 2**5=32 2**6=64 2**7=128 2**8=256 2**9=512 2**10=1024 2**11=2048 2**12=4096 2**13=8192 2**14=16384 2**15=32768 2**16=65536 2**17=131072 2**18=262144 2**19=524288 2**20=1048576 2**21=2097152 2**22=4194304 >>> ================================ RESTART ================================ >>> Please enter a lower bound: 0 Please enter an upper bound: 6 2**0 = 1 2**1 = 2 2**2 = 4 2**3 = 8 2**4 = 16 2**5 = 32 2**6 = 64 >>>

6efc25feb8365613f08bcea149b9338afcb635e2

py

Python

mlw/build_database.py

imjoseangel/hacktheplanet2021

bffc4f9a4f821fcfe2215244f5b563effe6982e5

2021-02-24T12:05:06.000Z

2021-02-24T12:05:06.000Z

mlw/build_database.py

imjoseangel/hacktheplanet2021

bffc4f9a4f821fcfe2215244f5b563effe6982e5

mlw/build_database.py

imjoseangel/hacktheplanet2021

bffc4f9a4f821fcfe2215244f5b563effe6982e5

#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import (division, absolute_import, print_function, unicode_literals) from glob import glob import logging import os from os.path import abspath, dirname, normpath import re from shutil import rmtree import sqlite3 import sys import folium from folium.plugins import FastMarkerCluster from zipfile import ZipFile import pandas as pd import requests from config import db from models import MarinaLitterWatch CLEAN_FILES = ('./CSV_1', './CSV_2') ZIP_FILE = 'fme.zip' DB_FILE = 'mlw.db' MAP_FILE = 'locations.html' # Set Logging logging.basicConfig(format="%(asctime)s %(levelname)s: %(message)s", datefmt="%d-%b-%y %H:%M:%S", stream=sys.stdout, level=logging.INFO) # Set local path here = normpath(abspath(dirname(__file__))) # Download data logging.info("Downloading data...") response = requests.get( 'http://fme.discomap.eea.europa.eu/fmedatadownload/MarineLitter/MLWPivotExport.fmw' '?CommunityCode=&FromDate=2010-01-01&ToDate=2022-12-31' '&opt_showresult=false&opt_servicemode=sync') downloadlink = re.search( r"<a\s+(?:[^>]*?\s+)?href=([\"'])(.*?)\1>", response.content.decode()).group(2) logging.info("Saving data...") zipfile = requests.get(downloadlink) open(f'{here}/{ZIP_FILE}', 'wb').write(zipfile.content) logging.info("Uzipping data...") zipObject = ZipFile(f'{here}/{ZIP_FILE}', 'r') zipObject.extractall(path=here) logging.info("Loading data...") # Data to initialize database with data = pd.read_csv( f'{here}/CSV_1/MLW_PivotExport/MLW_Data.csv', encoding="ISO-8859-1") # Delete database file if it exists currently if os.path.exists(f'{here}/{DB_FILE}'): os.remove(f'{here}/{DB_FILE}') # Create the database db.create_all() # populate the database conn = sqlite3.connect(f'{here}/{DB_FILE}') data.to_sql('mlw', conn, if_exists='append') db.session.commit() # Create Map folium_map = folium.Map(location=[40.416729, -3.703339], zoom_start=3, min_zoom=3, tiles='Stamen Terrain') callback = ('function (row) {' 'var marker = L.marker(new L.LatLng(row[0], row[1]), {color: "red"});' 'var icon = L.AwesomeMarkers.icon({' "icon: 'info-sign'," "iconColor: 'white'," "markerColor: 'red'," "prefix: 'glyphicon'," "extraClasses: 'fa-rotate-0'" '});' 'marker.setIcon(icon);' "var popup = L.popup({maxWidth: '300'});" "const display_text = {text: row[2]};" "var mytext = $(`<div id='mytext' class='display_text' style='width: 100.0%; height: 100.0%;'> ${display_text.text}</div>`)[0];" "popup.setContent(mytext);" "marker.bindPopup(popup);" 'return marker};') FastMarkerCluster(data=list( zip(data['lat_y1'].values, data['lon_x1'].values, data['BeachName'].values)), callback=callback).add_to(folium_map) folium.LayerControl().add_to(folium_map) folium_map.save(f'{here}/templates/{MAP_FILE}') # Clean files logging.info("Cleaning files...") for path_spec in CLEAN_FILES: # Make paths absolute and relative to this path abs_paths = glob(os.path.normpath( os.path.join(here, path_spec))) for path in [str(p) for p in abs_paths]: if not path.startswith(here): # Die if path in CLEAN_FILES is absolute + outside this directory raise ValueError( "%s is not a path inside %s" % (path, here)) logging.info(f'removing {os.path.relpath(path)}') rmtree(path) logging.info(f'removing {ZIP_FILE}') os.remove(f'{here}/{ZIP_FILE}')

6efcad9f388b05b3d7f79c0c4ad5c784bb1826e5

py

Python

domotica/configuration.py

jjmartinr01/gauss3

1c71c44430e0f15fb2f3f83d32ad66bb1b7e3e94

domotica/configuration.py

jjmartinr01/gauss3

1c71c44430e0f15fb2f3f83d32ad66bb1b7e3e94

domotica/configuration.py

jjmartinr01/gauss3

1c71c44430e0f15fb2f3f83d32ad66bb1b7e3e94

# -*- coding: utf-8 -*- from __future__ import unicode_literals TIPO = 'selectable' # 'basic' or 'selectable'. 'basic': necesario para el funcionamiento del programa # 'selectable': No necesario. Añade nuevas funcionalidades al programa # Por ejemplo autenticar es 'basic', pero actas es prescindible # El code_menu debe ser único y se configurará como un permiso del sistema MENU_DEFAULT = [ {'code_menu': 'acceso_domotica', 'texto_menu': 'Domótica', 'href': '', 'nivel': 1, 'tipo': 'Accesible', 'pos': 1, }, {'code_menu': 'acceso_grupos_domotica', 'texto_menu': 'Agrupaciones de dispositivos', 'href': 'grupos_domotica', 'nivel': 2, 'tipo': 'Accesible', 'pos': 1, 'parent': 'acceso_domotica' }, {'code_menu': 'acceso_configura_domotica', 'texto_menu': 'Configurar domótica', 'href': 'configura_domotica', 'nivel': 2, 'tipo': 'Accesible', 'pos': 2, 'parent': 'acceso_domotica' } ] # Se añaden otros permisos para el usuario PERMISOS = [{'code_nombre': 'crea_grupos_domotica', 'nombre': 'Permiso para crear un grupo de dispositivos domóticos', 'menu': 'acceso_grupos_domotica' }, {'code_nombre': 'borra_grupos_domotica', 'nombre': 'Permiso para borrar cualquier grupo que contiene domótica', 'menu': 'acceso_grupos_domotica' }, {'code_nombre': 'edita_grupos_domotica', 'nombre': 'Permiso para modificar cualquier grupo que contiene domótica', 'menu': 'acceso_grupos_domotica' }, {'code_nombre': 'crea_dispositivos_domotica', 'nombre': 'Permiso para crear un dispositivo domótico', 'menu': 'acceso_configura_domotica' }, {'code_nombre': 'borra_dispositivos_domotica', 'nombre': 'Permiso para borrar cualquier dispositivo domótico', 'menu': 'acceso_configura_domotica' }, {'code_nombre': 'edita_dispositivos_domotica', 'nombre': 'Permiso para editar cualquier dispositivo domótico', 'menu': 'acceso_configura_domotica' }, {'code_nombre': 'crea_secuencias_domotica', 'nombre': 'Permiso para crear una secuencia domótica', 'menu': 'acceso_configura_domotica' }, {'code_nombre': 'borra_secuencias_domotica', 'nombre': 'Permiso para borrar cualquier secuencia domótica', 'menu': 'acceso_configura_domotica' }, {'code_nombre': 'edita_secuencias_domotica', 'nombre': 'Permiso para modificar cualquier secuencia domótica', 'menu': 'acceso_configura_domotica' }, {'code_nombre': 'crea_conjuntos_domotica', 'nombre': 'Permiso para crear un conjunto de dispositivos domóticos', 'menu': 'acceso_configura_domotica' }, {'code_nombre': 'borra_conjuntos_domotica', 'nombre': 'Permiso para borrar cualquier conjunto de dispositivos domóticos', 'menu': 'acceso_configura_domotica' }, {'code_nombre': 'edita_conjuntos_domotica', 'nombre': 'Permiso para modificar cualquier conjunto de dispositivos domóticos', 'menu': 'acceso_configura_domotica' } ]

6efceaaf9fe7bf6e6a3d8409b3f03d38e6342a11

py

Python

eval.py

itisianlee/hawk-facedet

55774ac5619f9a4c76a3a872ff11940a874b32d1

eval.py

itisianlee/hawk-facedet

55774ac5619f9a4c76a3a872ff11940a874b32d1

eval.py

itisianlee/hawk-facedet

55774ac5619f9a4c76a3a872ff11940a874b32d1

import os import cv2 import fire import time import numpy as np import torch import torch.backends.cudnn as cudnn import torch.nn.functional as F from configs.common import config as cfg from hawkdet.models.build import build_detor from hawkdet.lib.numpy_nms import np_nms from hawkdet.lib.box_utils import decode, decode_landm from hawkdet.lib.prior_box import PriorBox class Timer(object): """A simple timer.""" def __init__(self): self.total_time = 0. self.calls = 0 self.start_time = 0. self.diff = 0. self.average_time = 0. def tic(self): # using time.time instead of time.clock because time time.clock # does not normalize for multithreading self.start_time = time.time() def toc(self, average=True): self.diff = time.time() - self.start_time self.total_time += self.diff self.calls += 1 self.average_time = self.total_time / self.calls if average: return self.average_time else: return self.diff def clear(self): self.total_time = 0. self.calls = 0 self.start_time = 0. self.diff = 0. self.average_time = 0. def run( model_path, top_k=5000, keep_top_k=750, nms_threshold=0.4, origin_size=True, confidence_threshold=0.02, save_folder='./eval_results', testset_dir='/root/paddlejob/workspace/hawk-facedet/data/widerface/val', ): torch.set_grad_enabled(False) cudnn.benchmark = True device = torch.cuda.current_device() net = build_detor(cfg.Detector) state_dict = torch.load(model_path)['model'] net.load_state_dict(state_dict) net.eval() net = net.to(device) testset_folder = os.path.join(testset_dir, 'images') testset_list = os.path.join(testset_dir, 'wider_val.txt') with open(testset_list, 'r') as fr: test_dataset = fr.read().split() num_images = len(test_dataset) _t = {'forward_pass': Timer(), 'misc': Timer()} # testing begin for i, img_name in enumerate(test_dataset): image_path = testset_folder + img_name img_raw = cv2.imread(image_path, cv2.IMREAD_COLOR) img = np.float32(img_raw) # testing scale target_size = 1600 max_size = 2150 im_shape = img.shape im_size_min = np.min(im_shape[0:2]) im_size_max = np.max(im_shape[0:2]) resize = float(target_size) / float(im_size_min) # prevent bigger axis from being more than max_size: if np.round(resize * im_size_max) > max_size: resize = float(max_size) / float(im_size_max) if origin_size: resize = 1 if resize != 1: img = cv2.resize(img, None, None, fx=resize, fy=resize, interpolation=cv2.INTER_LINEAR) im_height, im_width, _ = img.shape scale = torch.Tensor([img.shape[1], img.shape[0], img.shape[1], img.shape[0]]) img -= (104, 117, 123) img = img.transpose(2, 0, 1) img = torch.from_numpy(img).unsqueeze(0) img = img.to(device) scale = scale.to(device) _t['forward_pass'].tic() loc, conf, landms = net(img) # forward pass conf = F.softmax(conf, dim=-1) _t['forward_pass'].toc() _t['misc'].tic() priors = PriorBox(cfg.min_sizes, cfg.steps, cfg.clip, image_size=(im_height, im_width)).forward() priors = priors.to(device) prior_data = priors.data boxes = decode(loc.data.squeeze(0), prior_data, cfg.variance) boxes = boxes * scale / resize boxes = boxes.cpu().numpy() scores = conf.squeeze(0).data.cpu().numpy()[:, 1] landms = decode_landm(landms.data.squeeze(0), prior_data, cfg.variance) scale1 = torch.Tensor([img.shape[3], img.shape[2], img.shape[3], img.shape[2], img.shape[3], img.shape[2], img.shape[3], img.shape[2], img.shape[3], img.shape[2]]) scale1 = scale1.to(device) landms = landms * scale1 / resize landms = landms.cpu().numpy() # ignore low scores inds = np.where(scores > confidence_threshold)[0] boxes = boxes[inds] landms = landms[inds] scores = scores[inds] # keep top-K before NMS order = scores.argsort()[::-1] # order = scores.argsort()[::-1][:top_k] boxes = boxes[order] landms = landms[order] scores = scores[order] # do NMS dets = np.hstack((boxes, scores[:, np.newaxis])).astype(np.float32, copy=False) keep = np_nms(dets, nms_threshold) dets = dets[keep, :] landms = landms[keep] # keep top-K faster NMS # dets = dets[:keep_top_k, :] # landms = landms[:keep_top_k, :] dets = np.concatenate((dets, landms), axis=1) _t['misc'].toc() save_name = save_folder + img_name[:-4] + ".txt" dirname = os.path.dirname(save_name) if not os.path.isdir(dirname): os.makedirs(dirname) with open(save_name, "w") as fd: bboxs = dets file_name = os.path.basename(save_name)[:-4] + "\n" bboxs_num = str(len(bboxs)) + "\n" fd.write(file_name) fd.write(bboxs_num) for box in bboxs: x = int(box[0]) y = int(box[1]) w = int(box[2]) - int(box[0]) h = int(box[3]) - int(box[1]) confidence = str(box[4]) line = str(x) + " " + str(y) + " " + str(w) + " " + str(h) + " " + confidence + " \n" fd.write(line) print('im_detect: {:d}/{:d} forward_pass_time: {:.4f}s misc: {:.4f}s'.format( i + 1, num_images, _t['forward_pass'].average_time, _t['misc'].average_time)) if __name__ == '__main__': fire.Fire({"run": run}) exit()

6efda603db469ce3236855097b257374262f3443

py

Python

Python/Samples/Flyweight/Flyweight_models.py

plasroom46/DesignPattern.Sample

86c05c5ae356cb01f3d075f248c45da3e6534d07

2019-03-14T01:54:31.000Z

2021-11-26T13:00:32.000Z

Python/Samples/Flyweight/Flyweight_models.py

plasroom46/DesignPattern.Sample

86c05c5ae356cb01f3d075f248c45da3e6534d07

Python/Samples/Flyweight/Flyweight_models.py

plasroom46/DesignPattern.Sample

86c05c5ae356cb01f3d075f248c45da3e6534d07

2019-08-19T06:00:04.000Z

2021-07-15T01:23:52.000Z

class Content: def __init__(self, id="", value=""): if(id == ""): raise TypeError else: self.id = id self.value = value

6efe244e5a0524f99c737e6f3d3da045c5866cd7

py

Python

hello.py

zhuiyue568/test27

f96438c29711b62000eb363ff32c059529a0e142

hello.py

zhuiyue568/test27

f96438c29711b62000eb363ff32c059529a0e142

hello.py

zhuiyue568/test27

f96438c29711b62000eb363ff32c059529a0e142

name="zhuiyue" num="123456" num=111 num3=333 str="keep going" num4=666 num5=888 num5=777 num6=999

3e00ea020dca2ee0cd420f43a2015391aba2eabc

py

Python

src/keydra/providers/contentful.py

jangroth/keydra

9bab1b21e025ceb6ae074ea936d693e36efae5a4

2021-05-04T10:47:02.000Z

2022-03-10T13:25:04.000Z

src/keydra/providers/contentful.py

jangroth/keydra

9bab1b21e025ceb6ae074ea936d693e36efae5a4

2021-05-04T00:53:49.000Z

2022-01-18T10:01:49.000Z

src/keydra/providers/contentful.py

jangroth/keydra

9bab1b21e025ceb6ae074ea936d693e36efae5a4

2021-05-04T00:46:38.000Z

2022-02-16T02:55:50.000Z

from keydra.clients.contentful import ContentfulClient from keydra.providers.base import BaseProvider from keydra.providers.base import exponential_backoff_retry from keydra.exceptions import DistributionException from keydra.exceptions import RotationException from keydra.logging import get_logger LOGGER = get_logger() PW_FIELD = 'secret' class Client(BaseProvider): def __init__(self, session=None, credentials=None, region_name=None): self._secret_key = credentials['key'] self._cfclient = ContentfulClient(token=credentials[PW_FIELD]) def _rotate_secret(self, secret): try: curr_tokens = self._cfclient.get_tokens() new_token = self._cfclient.create_token( name=self._secret_key, readonly=False ) except Exception as error: LOGGER.error( "Failed to rotate Contentful token '{}' - {}".format( self._secret_key, error ) ) raise RotationException( 'Error rotating token {} on Contentful - ' 'error : {}'.format( self._secret_key, error ) ) try: # Revoke all existing tokens, just leaving our new one for token in curr_tokens: self._cfclient.revoke_token(token_id=token.id) except Exception as error: LOGGER.error( 'Failed to revoke Contentful token' ) raise RotationException( 'Error revoking token on Contentful - ' 'error : {}'.format( error ) ) LOGGER.info( "Contentful token '{}' successfully rotated.".format( self._secret_key ) ) return { 'provider': 'contentful', 'key': self._secret_key, f'{PW_FIELD}': new_token.token, } @exponential_backoff_retry(3) def rotate(self, secret): return self._rotate_secret(secret) def distribute(self, secret, destination): raise DistributionException('Contentful does not support distribution') @classmethod def redact_result(cls, result, spec=None): if 'value' in result and PW_FIELD in result['value']: result['value'][PW_FIELD] = '***' return result

3e017ed1492cc6fe4bfc5ac25bc91b6acc5c2bd6

py

Python

numbas_lti/migrations/0063_auto_20210211_1307.py

jhoobergs/numbas-lti-provider

9d673e0ec8dcb085bd783e949c3ee179e507be5c

2016-12-12T14:41:33.000Z

2021-04-18T01:04:23.000Z

numbas_lti/migrations/0063_auto_20210211_1307.py

jhoobergs/numbas-lti-provider

9d673e0ec8dcb085bd783e949c3ee179e507be5c

2016-08-24T13:53:07.000Z

2022-03-31T09:14:43.000Z

numbas_lti/migrations/0063_auto_20210211_1307.py

jhoobergs/numbas-lti-provider

9d673e0ec8dcb085bd783e949c3ee179e507be5c

2016-10-23T04:53:30.000Z

2022-02-17T09:25:00.000Z

# Generated by Django 2.2.13 on 2021-02-11 13:07 from django.db import migrations, models import django.db.models.deletion def set_exam_resources(apps, schema_editor): Resource = apps.get_model('numbas_lti', 'Resource') Attempt = apps.get_model('numbas_lti', 'Attempt') for r in Resource.objects.exclude(exam=None): r.exam.resource = r r.exam.save() for a in Attempt.objects.exclude(exam=None): if a.exam.resource is None: a.exam.resource = a.resource a.exam.save() class Migration(migrations.Migration): dependencies = [ ('numbas_lti', '0062_scormelementdiff'), ] operations = [ migrations.AddField( model_name='exam', name='resource', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='exams', to='numbas_lti.Resource'), ), migrations.AlterField( model_name='resource', name='exam', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='main_exam_of', to='numbas_lti.Exam'), ), migrations.RunPython(set_exam_resources,migrations.RunPython.noop), ]

3e035da887a72ca05d47f4e04f4fd021e19671d0

py

Python

sahyun_bot/utils_session.py

TheGoodlike13/sahyun-bot

8ebc3d4e58a0acf9bde3c9ea8339145abcc53fcb

2022-02-21T18:55:34.000Z

2022-02-21T18:55:34.000Z

sahyun_bot/utils_session.py

TheGoodlike13/sahyun-bot

8ebc3d4e58a0acf9bde3c9ea8339145abcc53fcb

sahyun_bot/utils_session.py

TheGoodlike13/sahyun-bot

8ebc3d4e58a0acf9bde3c9ea8339145abcc53fcb

from requests import Session from requests.adapters import HTTPAdapter from urllib3 import Retry from sahyun_bot.utils_logging import HttpDump DEFAULT_RETRY_COUNT = 3 RETRY_ON_METHOD = frozenset([ 'HEAD', 'GET', 'POST', 'PUT', 'DELETE', 'OPTIONS', 'TRACE' ]) RETRY_ON_STATUS = frozenset([ 403, 429, 500, 502, 503, 504 ]) class SessionFactory: """ Creates Session objects for use with the application. These objects will log HTTP information and retry requests. Retry count is configurable. All other kwargs will be passed into HttpDump. """ def __init__(self, retry_count: int = DEFAULT_RETRY_COUNT, **dump_kwargs): self.__dump = HttpDump(**dump_kwargs) self.__retry_count = max(0, retry_count) or DEFAULT_RETRY_COUNT def with_retry(self, session: Session = None) -> Session: session = session or Session() session.hooks['response'] = [self.__dump.all] retry = Retry( total=self.__retry_count, connect=self.__retry_count, read=self.__retry_count, method_whitelist=RETRY_ON_METHOD, status_forcelist=RETRY_ON_STATUS, backoff_factor=1 ) adapter = HTTPAdapter(max_retries=retry) session.mount('http://', adapter) session.mount('https://', adapter) return session

3e03fc65e12b6935503f8e6630624fed1809bd0e

py

Python

EzLibrarianApplication/DAO/BookCirculationDAO.py

coregameHD/SmartLib_Librarian

31b58a4aab648ee9110ba6a78d5fcab942267380

EzLibrarianApplication/DAO/BookCirculationDAO.py

coregameHD/SmartLib_Librarian

31b58a4aab648ee9110ba6a78d5fcab942267380

EzLibrarianApplication/DAO/BookCirculationDAO.py

coregameHD/SmartLib_Librarian

31b58a4aab648ee9110ba6a78d5fcab942267380

2018-10-01T14:08:25.000Z

2020-09-30T03:02:15.000Z

import json import requests from datetime import datetime, timedelta from BookCirculation import BookCirculation from DAO.AbstractDAO import AbstractDAO from DAO.BookDAO import BookDAO from DAO.UserDAO import UserDAO from constant import * from datetime import datetime class BookCirculationDAO(AbstractDAO): def __init__(self, parent = None): AbstractDAO.__init__(self) self.parent = parent def borrow(self, user, books): borrow_list = [] for book in books: borrow_list.append({"user": {"user_id": user.user_id}, "book": {"book_id": book.book_id}}) # try: path = '/borrow' response = requests.post(self.server_ip + path, json=borrow_list, timeout = self.timeout, headers=self.get_authentication_header(path)) if response.status_code == 200: #Success book_circulations = [] for raw_book_circulation in response.json(): book_circulations.append(self.construct_book_ciruclation(raw_book_circulation)) if self.parent is not None: due_time = book_circulations[0].due_time print(str(due_time)) self.parent.borrowBookCallback(due_time) def getAllCirculations(self): try: path = '/history' response = requests.get(self.server_ip + path , timeout = self.timeout, headers=self.get_authentication_header(path)) circulations = None if response.status_code == 200: to_return = [] for raw_data in response.json(): to_return.append(self.construct_book_circulation(raw_data )) return to_return else: print("Request failed") except requests.exceptions.ConnectTimeout: # Connection timeout, use offline mockup data print("Timeout") return None def getAllOnBorrowCirculation(self): try: path = '/borrow' response = requests.get(self.server_ip + path , timeout = self.timeout, headers=self.get_authentication_header(path)) circulations = None if response.status_code == 200: to_return = [] for raw_data in response.json(): to_return.append(self.construct_book_circulation(raw_data )) return to_return else: print("Request failed") except requests.exceptions.ConnectTimeout: # Connection timeout, use offline mockup data print("Timeout") @staticmethod def construct_book_circulation(arguments): time_args = ["borrow_time", "due_time", "return_time"] for time_arg in time_args: if time_arg in arguments.keys() and arguments[time_arg] is not None: arguments[time_arg] = datetime.strptime(arguments[time_arg], rfc_822_format) arguments["book"] = BookDAO.constructBook(arguments["book"]) arguments["user"] = UserDAO.constructUser(arguments["user"]) return BookCirculation(**arguments) def getBorrowIDFromBookID(self,bookID): for circulation in self.getAllOnBorrowCirculation(): if(str(circulation.book.book_id) == str(bookID)): return circulation.borrow_id return None def returnBook(self,borrowID): path = '/return/' + str(borrowID) response = requests.delete(self.server_ip + path, timeout=self.timeout, headers=self.get_authentication_header(path)) if response.status_code == 200: # Success print(response.text) pass else: print("Failed") def searchHistory(self, keyword): if keyword == "" or keyword.startswith(' '): return self.getAllCirculations() try: path = '/history/search/' + keyword response = requests.get(self.server_ip + path, timeout = self.timeout, headers=self.get_authentication_header(path)) circulations = None if response.status_code == 200: to_return = [] for raw_data in response.json(): to_return.append(self.construct_book_circulation(raw_data )) return to_return else: print("Request failed") except requests.exceptions.ConnectTimeout: # Connection timeout, use offline mockup data print("Timeout") return None def searchOnBorrow(self, keyword): if keyword == "" or keyword.startswith(' '): return self.getAllOnBorrowCirculation() try: path = '/borrow/search/' + keyword response = requests.get(self.server_ip + path , timeout = self.timeout, headers=self.get_authentication_header(path)) circulations = None if response.status_code == 200: to_return = [] for raw_data in response.json(): to_return.append(self.construct_book_circulation(raw_data )) return to_return else: print("Request failed") except requests.exceptions.ConnectTimeout: # Connection timeout, use offline mockup data print("Timeout") return None def getOverdueCirculation(self): overdueCirculations = [] for circulation in self.getAllOnBorrowCirculation(): if (circulation.due_time.replace(tzinfo=None) < datetime.now()): overdueCirculations.append(circulation) return overdueCirculations if __name__ == "__main__": bookCirculationDAO = BookCirculationDAO() for circulation in bookCirculationDAO.getAllCirculations(): print(str(circulation))

3e063c3a08ca1b49f1f08adcb5b79cf09de3aefe

py

Python

flask_mm/managers/__init__.py

szkkteam/flask_mm

ea96899a41a0573e51792f1554550c6d77f22a07

2021-03-21T18:46:36.000Z

2021-03-21T18:46:36.000Z

flask_mm/managers/__init__.py

szkkteam/flask_mm

ea96899a41a0573e51792f1554550c6d77f22a07

flask_mm/managers/__init__.py

szkkteam/flask_mm

ea96899a41a0573e51792f1554550c6d77f22a07

#!/usr/bin/env python # -*- coding: utf-8 -*- # Common Python library imports import os # Pip package imports from six.moves.urllib.parse import urljoin from flask import url_for, request, abort from werkzeug import secure_filename, FileStorage, cached_property # Internal package imports from flask_mm.utils import UuidNameGen from flask_mm.files import extension, lower_extension from flask_mm.storages import BaseStorage DEFAULT_MANAGER = 'file' class BaseManager(object): def __init__(self, app, name, storage, *args, **kwargs): self.name = name assert isinstance(storage, BaseStorage), "Storage object must be a subclass of BaseStorage" self.storage = storage # Optional parameters self.allowed_extensions = kwargs.get('extensions', None) self.namegen = kwargs.get('name_gen', UuidNameGen) def _clean_url(self, url): if not url.startswith('http://') and not url.startswith('https://'): url = ('https://' if request.is_secure else 'http://') + url if not url.endswith('/'): url += '/' return url def url(self, filename, external=False): if isinstance(filename, FileStorage): filename = filename.filename if filename.startswith('/'): filename = filename[1:] if self.storage.has_url: # TODO: Clean url or not? return urljoin(self._clean_url(self.storage.base_url), self.storage.path(filename)) else: return url_for('mm.get_file', mm=self.name, filename=filename, _external=external) def is_file_allowed(self, filename): if not self.allowed_extensions: return True return (extension(filename) in self.allowed_extensions) def generate_name(self, filename_or_wfs): if isinstance(filename_or_wfs, FileStorage): return self.namegen.generate_name(filename_or_wfs.filename) return self.namegen.generate_name(filename_or_wfs) def path(self, filename): if not hasattr(self.storage, 'path'): raise RuntimeError("Direct file access is not supported by " + self.storage.__class__.__name__) return self.storage.path(filename) def archive_files(self, out_filename, files, *args, **kwargs): return self.storage.archive_files(out_filename, files, *args, **kwargs) def exists(self, filename): return self.storage.exists(filename) def is_allowed(self, filename): return self.is_file_allowed(filename) def read(self, filename): if not self.exists(filename): raise FileNotFoundError(filename) return self.storage.read(filename) def open(self, filename, mode='r', **kwargs): if 'r' in mode and not self.storage.exists(filename): raise FileNotFoundError(filename) return self.storage.open(filename, mode, **kwargs) def write(self, filename, content, overwrite=False): if not overwrite and self.exists(filename): raise FileExistsError(filename) return self.storage.write(filename, content) def delete(self, filename): return self.storage.delete(filename) def save(self, file_or_wfs, filename=None, **kwargs): if not filename and isinstance(file_or_wfs, FileStorage): filename = lower_extension(secure_filename(file_or_wfs.filename)) if not filename: raise ValueError('filename is required') if not self.is_allowed(filename): raise ValueError('File type is not allowed.') self.storage.save(file_or_wfs, filename, **kwargs) return filename def list_files(self): return self.storage.list_file() def metadata(self, filename): metadata = self.storage.metadata(filename) metadata['filename'] = os.path.basename(filename) # TODO: Impelement url getter #metadata['url'] = self.url def serve(self, filename): '''Serve a file given its filename''' if not self.exists(filename): abort(404) return self.storage.serve(filename)

3e07225d9f986640eeceeb3fecfcd08a0bbf84a5

py

Python

web/api/user/core.py

cclrobotics/ARTBot

a0bffabebbc09361bf7748741fe3d30c78af8fbd

2020-12-04T19:28:42.000Z

2021-12-07T16:14:28.000Z

web/api/user/core.py

cclrobotics/ARTBot

a0bffabebbc09361bf7748741fe3d30c78af8fbd

2019-10-08T19:47:24.000Z

2021-07-26T05:43:37.000Z

web/api/user/core.py

cclrobotics/ARTBot

a0bffabebbc09361bf7748741fe3d30c78af8fbd

2019-10-23T04:14:49.000Z

2021-08-01T01:22:37.000Z

from functools import partial from marshmallow import ValidationError from web.extensions import db from .validators import validate_user_token from .serializers import SuperUserSchema from .exceptions import InvalidUsage from .user import SuperUser def validate_and_extract_user_data(json_data, skipped_fields: tuple= (), new_user: bool=False): try: data = SuperUserSchema(new_user).load(json_data, partial=skipped_fields) except ValidationError as err: raise InvalidUsage.from_validation_error(err) return data def create_superuser(email, password, role = SuperUser.default_role()): s_user = SuperUser.from_email(email, role=role) s_user.set_password(password) db.session.commit() return s_user.id, True def update_superuser_role(email, new_role): s_user = SuperUser.get_by_email(email) old_role = s_user.role s_user.set_role(new_role) db.session.commit() return s_user.email, old_role.value, s_user.role.value def update_superuser_password(email, new_password, created_at_timestamp): s_user = SuperUser.get_by_email(email) validate_user_token(s_user, created_at_timestamp) s_user.set_password(new_password) db.session.commit() return s_user.email, True def delete_superuser(id, created_at_timestamp): """ Delete a user record from the SuperUser table For added security, must provide exact creation datetime of the user, in timestamp format """ s_user = SuperUser.get_by_id(id) validate_user_token(s_user, created_at_timestamp) s_user.delete() db.session.commit() return s_user.email, True

3e07f9fff3837dd41ad8b264e8c09d1d22e6939d

py

Python

digsby/src/util/auxencodings.py

ifwe/digsby

f5fe00244744aa131e07f09348d10563f3d8fa99

2015-08-15T14:32:38.000Z

2021-12-09T16:21:26.000Z

digsby/src/util/auxencodings.py

niterain/digsby

16a62c7df1018a49eaa8151c0f8b881c7e252949

2015-09-12T10:42:57.000Z

2017-02-27T04:05:51.000Z

digsby/src/util/auxencodings.py

niterain/digsby

16a62c7df1018a49eaa8151c0f8b881c7e252949

2015-07-10T23:58:07.000Z

2022-01-23T22:16:33.000Z

''' Registers auxillary encodings in the codecs module. >>> 'x\x9cK\xc9L/N\xaa\x04\x00\x08\x9d\x02\x83'.decode('zip') 'digsby' ''' from peak.util.imports import lazyModule sys = lazyModule('sys') warnings = lazyModule('warnings') locale = lazyModule('locale') collections = lazyModule('collections') urllib = lazyModule('urllib') urllib2 = lazyModule('urllib2') codecs = lazyModule('codecs') StringIO = lazyModule('StringIO') zipfile = lazyModule('zipfile') gzip = lazyModule('gzip') htmlentitydefs = lazyModule('htmlentitydefs') base64 = lazyModule('base64') #pylzma = lazyModule('pylzma') HAVE_LZMA = False #until proven otherwise ENCODE_LZMA = False __simplechars_enc = { ord('<') : 'lt', ord('>') : 'gt', #ord("'") : 'apos', ord('"') : 'quot', ord('&') : 'amp', } __simplechars_dec = dict((v, unichr(k)) for k,v in __simplechars_enc.items()) __simplechars_dec['apos'] = unichr(ord("'")) _encodings = [ lambda: locale.getpreferredencoding(), lambda: sys.getfilesystemencoding(), lambda: sys.getdefaultencoding(), ] _to_register = [ ] def register_codec(name, encode, decode): 'An easy way to register a pair of encode/decode functions with a name.' global _to_register def _search(n): if n == name: return codecs.CodecInfo(name=name, encode=encode, decode=decode) _to_register.append(_search) def install(): global _to_register to_register, _to_register[:] = _to_register[:], [] for codec in to_register: codecs.register(codec) def fuzzydecode(s, encoding = None, errors = 'strict'): ''' Try decoding the string using several encodings, in this order. - the one(s) you give as "encoding" - the system's "preferred" encoding ''' if isinstance(s, unicode): import warnings; warnings.warn('decoding unicode is not supported!') return s encodings = [enc() for enc in _encodings] if isinstance(encoding, basestring): encodings.insert(0, encoding) elif encoding is None: pass else: encodings = list(encoding) + encodings assert all(isinstance(e, basestring) for e in encodings) for e in encodings: try: res = s.decode(e, errors) except (UnicodeDecodeError, LookupError), _ex: # LookupError will catch missing encodings import warnings; warnings.warn("Exception when fuzzydecoding %r: %r" % (s, _ex)) else: return res return s.decode(encoding, 'replace') def fuzzyencode(s, errors='strict'): raise NotImplementedError def _xml_encode(input, errors='simple'): simple = 'simple' in errors origtype = type(input) if simple: chars = __simplechars_enc else: chars = htmlentitydefs.codepoint2name res = [] append = res.append for ch in input: och = ord(ch) if och in chars: append('&%s;' % chars[och]) else: append(ch) return origtype(''.join(res)), len(input) def _xml_decode(input, errors='strict'): data = collections.deque(input) res = [] append = res.append popleft = data.popleft extendleft = data.extendleft name2codepoint = htmlentitydefs.name2codepoint while data: ch = popleft() if ch == '&': curtoken = '' is_ref = False is_num = False is_hex = False while len(curtoken) < 10 and data: # so we don't loop to the end of the input nch = popleft() if nch == '#': is_num = True if is_num and len(curtoken) == 1 and nch == 'x': is_hex = True if nch == ';': is_ref = True break curtoken += nch if nch == '&': break if not is_ref: extendleft(reversed(curtoken)) # put it back append('&') # this should not have been here, but we're nice so we'll put it back continue else: if is_num: try: curtoken = curtoken[1:] # chop the # if is_hex: curtoken = curtoken[1:] # chop the x och = int(curtoken, 16) else: och = int(curtoken, 10) append(unichr(och)) except (UnicodeError, ValueError, TypeError): pass else: continue if curtoken in name2codepoint: append(unichr(name2codepoint[curtoken])) elif curtoken in __simplechars_dec: append(__simplechars_dec[curtoken]) else: append('&%s;' % (curtoken)) else: append(ch) return u''.join(res), len(input) register_codec('xml', _xml_encode, _xml_decode) def _pk_decode(input, errors='strict'): li = len(input) input = StringIO.StringIO(input) z = zipfile.ZipFile(input, mode='r') zi = z.filelist[0] return z.read(zi.filename), li def _pk_encode(input, errors='strict'): li = len(input) s = StringIO.StringIO(); z = zipfile.ZipFile(s, mode='wb', compression=zipfile.ZIP_DEFLATED) z.writestr('file', input) z.close() return s.getvalue(), li def _gzip_decode(input, errors='strict'): li = len(input) input = StringIO.StringIO(input) g = gzip.GzipFile(mode='rb', fileobj=input) return g.read(), li def _gzip_encode(input, errors='strict'): li = len(input) s = StringIO.StringIO() g = gzip.GzipFile(mode='wb', fileobj=s) g.write(input) g.close() return s.getvalue(), li def search(name): if name == 'gzip': name = 'gzip' return codecs.CodecInfo(name = name, encode = _gzip_encode, decode = _gzip_decode) _to_register.append(search) del search def _fuzzyzip_decode(input, errors='strict'): magic_num = input[:2] if magic_num == 'PK': return _pk_decode(input, errors=errors) elif magic_num == 'BZ': return input.decode('bz2'), len(input) elif magic_num == '\x1f\x8b': return _gzip_decode(input, errors=errors) else: global HAVE_LZMA if HAVE_LZMA: try: return pylzma.decompress(input), len(input) except ImportError: HAVE_LZMA = False except Exception: pass return input.decode('zip'), len(input) def _fuzzyzip_encode(input, errors='strict'): li = len(input) funcs = [ # lambda: _pk_encode(input)[0], # lambda: _gzip_encode(input)[0], lambda: input.encode('bz2'), lambda: input.encode('zlib'), ] if HAVE_LZMA and ENCODE_LZMA: funcs.append(lambda: pylzma.compress(input)) shortest_val = None shortest_len = -1 for func in funcs: newval = func() newlen = len(newval) assert newlen > 0 if shortest_len < 0 or newlen < shortest_len: shortest_len = newlen shortest_val = newval return shortest_val, li def search(name): if name == 'z' or name == 'fuzzyzip': name = 'fuzzyzip' return codecs.CodecInfo(name = 'fuzzyzip', encode = _fuzzyzip_encode, decode = _fuzzyzip_decode) _to_register.append(search) del search def search(name): if name.startswith('fuzzy'): if name == 'fuzzyzip': return None encoding = name[len('fuzzy'):] or None elif name.endswith('?'): encoding = name[:-1] or None else: return None name = 'fuzzy' encode = fuzzyencode def decode(s, errors='strict'): if encoding: encs = filter(bool, encoding.split()) else: encs = None return fuzzydecode(s, encs, errors), len(s) return codecs.CodecInfo(name=name, encode=encode, decode=decode) _to_register.append(search) del search __locale_encoding = lambda: locale.getpreferredencoding() register_codec('locale', lambda s, errors = 'strict': (s.encode(__locale_encoding()), len(s)), lambda s, errors = 'strict': (s.decode(__locale_encoding()), len(s))) __filesysencoding = lambda: sys.getfilesystemencoding() def _filesys_encode(s, errors = 'strict'): if isinstance(s, str): return s, len(s) else: return s.encode(__filesysencoding()), len(s) def _filesys_decode(s, errors = 'strict'): if isinstance(s, unicode): return s, len(s) else: return s.decode(__filesysencoding()), len(s) register_codec('filesys', _filesys_encode, _filesys_decode) del _filesys_encode del _filesys_decode def _url_encode(input, errors='strict'): return urllib2.quote(input), len(input) def _url_decode(input, errors='strict'): return urllib.unquote_plus(input), len(input) register_codec('url', _url_encode, _url_decode) # codec: utf8url # encode = utf8 encode -> url encode # decode = url decode -> utf8 decode def _utf8url_encode(input, errors='strict'): output = input.encode('utf-8', errors) output = urllib2.quote(output) return output, len(input) def _utf8url_decode(input, errors='strict'): output = input.encode('ascii', errors) output = urllib.unquote_plus(output) output = output.decode('utf-8', errors) return output, len(input) register_codec('utf8url', _utf8url_encode, _utf8url_decode) b64_codecs = {} b64_names = frozenset(('b64', 'b32', 'b16')) def make_funcs(encode, decode): def _encode(input, errors='strict'): return encode(input), len(input) def _decode(input, errors='strict'): return decode(input), len(input) return dict(encode=_encode, decode=_decode) def search_base64(name): if name not in b64_names: return try: return b64_codecs[name] except KeyError: if name == 'b64': codec = b64_codecs[name] = codecs.CodecInfo(name = name, **make_funcs(base64.b64encode, base64.b64decode)) if name == 'b32': codec = b64_codecs[name] = codecs.CodecInfo(name = name, **make_funcs(base64.b32encode, base64.b32decode)) if name == 'b16': codec = b64_codecs[name] = codecs.CodecInfo(name = name, **make_funcs(base64.b16encode, base64.b16decode)) return codec _to_register.append(search_base64) del search_base64 def _binary_encode(input, errors='strict'): def align(s): return '0'*(8-len(s)) + s output = ''.join((align(bin(ord(x))[2:]) for x in input)) return output, len(input) def _binary_decode(input, errors='strict'): assert not (len(input) % 8) #if using for serious work, fix the eval output = ''.join((chr(eval('0b' + input[x:x+8])) for x in range(0, len(input), 8))) return output, len(input) register_codec('binary', _binary_encode, _binary_decode) __all__ = [] if __name__ == '__main__': install() def gen_rand_str(length = 5000): from random import randint, choice as randchoice from string import ascii_letters ents = list(__simplechars_dec) data = [] append = data.append for x in xrange(length): r = randint(0, 10) if r == 0: append('&%s;' % randchoice(ents)) elif r == 1: append('&%d;' % randint(0, 65535)) elif r == 2: append('&%x;' % randint(0, 65535)) if r > 3: append(randchoice(ascii_letters)) return ''.join(data) strings = [gen_rand_str() for x in xrange(100)] results1 = [] results2 = [] from time import clock def timeit(func): before = clock() func() return clock() - before def foo(encoding, res): for s in strings: res.append(s.decode(encoding)) print 'xml', timeit(lambda: foo('xml', results1)) print 'xml2', timeit(lambda: foo('xml2', results2)) assert results1 == results2

3e08ccba7d47176de06f3bb412445c1550a56baf

py

Python

jaxfg/core/__init__.py

AvanDavad/jaxfg

6d1559126ba872b452eca6a13c2688349f1c5f7e

2020-11-28T19:43:31.000Z

2022-03-29T02:35:46.000Z

jaxfg/core/__init__.py

AvanDavad/jaxfg

6d1559126ba872b452eca6a13c2688349f1c5f7e

2021-05-24T09:02:12.000Z

2022-03-30T19:51:40.000Z

jaxfg/core/__init__.py

AvanDavad/jaxfg

6d1559126ba872b452eca6a13c2688349f1c5f7e

2021-05-06T15:31:23.000Z

2022-03-23T12:06:44.000Z

from ._factor_base import FactorBase from ._factor_stack import FactorStack from ._stacked_factor_graph import StackedFactorGraph from ._storage_metadata import StorageMetadata from ._variable_assignments import VariableAssignments from ._variables import RealVectorVariable, VariableBase __all__ = [ "FactorStack", "FactorBase", "StackedFactorGraph", "StorageMetadata", "VariableAssignments", "RealVectorVariable", "VariableBase", ]

3e09b3a92c71458b7e09905c1beec58ee515ed7a

py

Python

cython/wrap_c/test_cython_wrapper.py

tleonhardt/Python_Interface_Cpp

398eab0c6e7f5e0358edb6644c71b5fdc6b2606a

2017-03-10T09:32:22.000Z

2022-01-25T08:44:06.000Z

cython/wrap_c/test_cython_wrapper.py

tleonhardt/Python_Interface_Cpp

398eab0c6e7f5e0358edb6644c71b5fdc6b2606a

cython/wrap_c/test_cython_wrapper.py

tleonhardt/Python_Interface_Cpp

398eab0c6e7f5e0358edb6644c71b5fdc6b2606a

2017-03-13T23:28:56.000Z

2021-06-07T08:37:03.000Z

# coding=utf-8 import cyfib def test_valid(): assert (17711 == cyfib.compute_fibonacci_wrapper(20))

3e0aba9a6fd99c2588436a872d706b50b1c4f2cd

py

Python

Server/server.py

mjbogusz/CCVR

65b11d39c1412134f8a695b30955368eb43c2518

Server/server.py

mjbogusz/CCVR

65b11d39c1412134f8a695b30955368eb43c2518

Server/server.py

mjbogusz/CCVR

65b11d39c1412134f8a695b30955368eb43c2518

#!/usr/bin/env python3 from http.server import SimpleHTTPRequestHandler, HTTPServer from urllib.parse import parse_qs import time class CCVRRequestHandler(SimpleHTTPRequestHandler): def do_GET(self): # Add 'files' prefix self.path = '/files' + self.path super().do_GET() def do_HEAD(self): # Add 'files' prefix self.path = '/files' + self.path super().do_GET() def do_POST(self): content_length = int(self.headers['Content-Length']) data = parse_qs(self.rfile.read(content_length).decode('utf-8')) if not data.get('type') or not data.get('content'): self.send_response(400, 'Bad request') return filename = 'files/' if data.get('type')[0] == 'map': filename += 'map.txt' elif data.get('type')[0] == 'sensors': filename += 'sensors.txt' else: self.send_response(400, 'Bad type') try: dataFile = open(filename, 'w') dataFile.write(data.get('content')[0]) dataFile.close() self.send_response(200, 'OK') except Exception as e: print('Error writing file:', e) self.send_response(500, 'Error writing file') def run(port = 8080, hostName = ''): server_address = (hostName, port) server = HTTPServer(server_address, CCVRRequestHandler) print(time.asctime(), "Server Starts - %s:%s" % (hostName, port)) try: server.serve_forever() except KeyboardInterrupt: pass server.server_close() print(time.asctime(), "Server Stops - %s:%s" % (hostName, port)) if __name__ == "__main__": from sys import argv if len(argv) == 3: run(port = int(argv[1]), hostName = str(argv[2])) elif len(argv) == 2: run(port = int(argv[1])) else: run()

3e0adca23e72763263f72a46a3ff5aad270ff8c2

py

Python

dags/dag_update.py

alyildiz/btc_forecast

b1e70431c9f18bee0afda71b96805f6194072548

2021-09-06T08:42:02.000Z

2021-11-15T15:04:57.000Z

dags/dag_update.py

alyildiz/sncf_forecast

b1e70431c9f18bee0afda71b96805f6194072548

dags/dag_update.py

alyildiz/sncf_forecast

b1e70431c9f18bee0afda71b96805f6194072548

import os from datetime import datetime, timedelta from airflow import DAG from airflow.operators.docker_operator import DockerOperator from docker.types import Mount default_args = { "owner": "airflow", "description": "Use of the DockerOperator", "depend_on_past": False, "start_date": datetime(2021, 5, 1), "email_on_failure": False, "email_on_retry": False, "retries": 1, "retry_delay": timedelta(minutes=5), } BASE_DIR = "/home/baris/PROJECTS/sncf_forecast/" dic_env = { "API_KEY": os.environ["API_KEY"], "API_KEY_SECRET": os.environ["API_KEY_SECRET"], "ACCESS_TOKEN": os.environ["ACCESS_TOKEN"], "ACCESS_TOKEN_SECRET": os.environ["ACCESS_TOKEN_SECRET"], "MONGODB_HOST": os.environ["MONGODB_HOST"], "MONGODB_PORT": os.environ["MONGODB_PORT"], "MONGO_INITDB_ROOT_USERNAME": os.environ["MONGO_INITDB_ROOT_USERNAME"], "MONGO_INITDB_ROOT_PASSWORD": os.environ["MONGO_INITDB_ROOT_PASSWORD"], } with DAG("daily_update_new", default_args=default_args, schedule_interval="0 2 * * *", catchup=False) as dag: update_db = DockerOperator( task_id="task_____daily_update_dbmongo", image="sncf_forecast_update", environment=dic_env, container_name="task_____daily_update_dbmongo", api_version="auto", auto_remove=True, command="python3 /workdir/update.py", docker_url="unix://var/run/docker.sock", working_dir="/workdir", mount_tmp_dir=False, mounts=[ Mount(source=BASE_DIR + "shared", target="/workdir/shared", type="bind"), Mount(source=BASE_DIR + "backend/modeling/src", target="/workdir/src", type="bind"), Mount(source=BASE_DIR + "backend/update", target="/workdir", type="bind"), ], network_mode="sncf_forecast_default", ) update_lstm = DockerOperator( task_id="task_____daily_update_lstm", image="sncf_forecast_modeling", environment=dic_env, container_name="task_____daily_update_lstm", api_version="auto", auto_remove=True, command="python3 /workdir/bin/train_model.py -m lstm", docker_url="unix://var/run/docker.sock", working_dir="/workdir", mount_tmp_dir=False, mounts=[ Mount(source=BASE_DIR + "backend/modeling/bin", target="/workdir/bin", type="bind"), Mount(source=BASE_DIR + "backend/modeling/src", target="/workdir/src", type="bind"), Mount(source=BASE_DIR + "shared", target="/workdir/shared", type="bind"), Mount(source=BASE_DIR + "mlflow/db", target="/workdir/data", type="bind"), Mount(source=BASE_DIR + "mlflow/artifacts", target="/workdir/artifacts", type="bind"), ], network_mode="sncf_forecast_default", ) update_baseline = DockerOperator( task_id="task_____daily_update_baseline", image="sncf_forecast_modeling", environment=dic_env, container_name="task_____daily_update_baseline", api_version="auto", auto_remove=True, command="python3 /workdir/bin/train_model.py -m baseline", docker_url="unix://var/run/docker.sock", working_dir="/workdir", mount_tmp_dir=False, mounts=[ Mount(source=BASE_DIR + "backend/modeling/bin", target="/workdir/bin", type="bind"), Mount(source=BASE_DIR + "backend/modeling/src", target="/workdir/src", type="bind"), Mount(source=BASE_DIR + "shared", target="/workdir/shared", type="bind"), Mount(source=BASE_DIR + "mlflow/db", target="/workdir/data", type="bind"), Mount(source=BASE_DIR + "mlflow/artifacts", target="/workdir/artifacts", type="bind"), ], network_mode="sncf_forecast_default", ) update_autoencoder = DockerOperator( task_id="task_____daily_update_autoencoder", image="sncf_forecast_modeling", environment=dic_env, container_name="task_____daily_update_autoencoder", api_version="auto", auto_remove=True, command="python3 /workdir/bin/train_model.py -m autoencoder", docker_url="unix://var/run/docker.sock", working_dir="/workdir", mount_tmp_dir=False, mounts=[ Mount(source=BASE_DIR + "backend/modeling/bin", target="/workdir/bin", type="bind"), Mount(source=BASE_DIR + "backend/modeling/src", target="/workdir/src", type="bind"), Mount(source=BASE_DIR + "shared", target="/workdir/shared", type="bind"), Mount(source=BASE_DIR + "mlflow/db", target="/workdir/data", type="bind"), Mount(source=BASE_DIR + "mlflow/artifacts", target="/workdir/artifacts", type="bind"), ], network_mode="sncf_forecast_default", ) update_db >> update_lstm update_db >> update_baseline update_db >> update_autoencoder

3e0b03ec64f84131a309427f748ab4fc729497d0

py

Python

sustainableCityManagement/main_project/Population_API/views_population.py

Josh-repository/Dashboard-CityManager-

6287881be9fb2c6274a755ce5d75ad355346468a

sustainableCityManagement/main_project/Population_API/views_population.py

Josh-repository/Dashboard-CityManager-

6287881be9fb2c6274a755ce5d75ad355346468a

sustainableCityManagement/main_project/Population_API/views_population.py

Josh-repository/Dashboard-CityManager-

6287881be9fb2c6274a755ce5d75ad355346468a

2021-05-13T16:33:18.000Z

2021-05-13T16:33:18.000Z

from django.http import JsonResponse from django.http import HttpResponse from rest_framework.views import APIView from .store_population import StorePopulation import time as processTiming import uuid # API to fetch Ireland population used by frontend. The result consist of population estimate and year. class IrelandPopulationView(APIView): @classmethod def get(self, request, fetch_population=StorePopulation()): startTime = processTiming.time() call_uuid = uuid.uuid4() ID = "IRELAND_POPULATION_INFO" result = fetch_population.fetch_irish_population() # If query param doesn't match any condition above. return JsonResponse( { "API_ID": ID, "CALL_UUID": call_uuid, "DATA": { "RESULT": result }, "TIMESTAMP": "{} seconds".format(float(round(processTiming.time() - startTime, 2)))} ) # API to fetch Dublin population used by frontend. The result consist of population estimate and year. class DublinPopulationView(APIView): @classmethod def get(self, request, fetch_population=StorePopulation()): startTime = processTiming.time() call_uuid = uuid.uuid4() ID = "DUBLIN_POPULATION_INFO" result = fetch_population.fetch_dublin_population() # If query param doesn't match any condition above. return JsonResponse( { "API_ID": ID, "CALL_UUID": call_uuid, "DATA": { "RESULT": result }, "TIMESTAMP": "{} seconds".format(float(round(processTiming.time() - startTime, 2)))} )

3e105c7bee23ddd23731ff6b0bc65a97faa40678

py

Python

examples/tutorial7.py

fangj99/gifmaze

fd0f7fbf592537a26b13359ccf87dab836d9b1b3

2018-04-28T17:25:25.000Z

2021-08-15T17:52:11.000Z

examples/tutorial7.py

fangj99/gifmaze

fd0f7fbf592537a26b13359ccf87dab836d9b1b3

examples/tutorial7.py

fangj99/gifmaze

fd0f7fbf592537a26b13359ccf87dab836d9b1b3

2019-10-30T03:40:50.000Z

2022-01-02T05:44:33.000Z

# -*- coding: utf-8 -*- """ This script shows how to embed the animation into a background image (it's also possible to embed the animation into another animation, but that's too complicated to implement in a simple program ...) """ from colorsys import hls_to_rgb import gifmaze as gm from gifmaze.algorithms import wilson, bfs from gifmaze.utils import generate_text_mask # firstly define the size and color_depth of the image. width, height = 600, 400 color_depth = 8 # define a surface to draw on. surface = gm.GIFSurface.from_image('teacher.png', color_depth) # set the 0-th color to be the same with the blackboard's. palette = [52, 51, 50, 200, 200, 200, 255, 0, 255] for i in range(256): rgb = hls_to_rgb((i / 360.0) % 1, 0.5, 1.0) palette += [int(round(255 * x)) for x in rgb] surface.set_palette(palette) # next define an animation environment to run the algorithm. anim = gm.Animation(surface) # set the speed, delay, and transparent color we want. anim.set_control(speed=50, delay=2, trans_index=3) # add a maze instance. mask = generate_text_mask(surface.size, 'UST', 'ubuntu.ttf', 350) # specify the region that where the animation is embedded. left, top, right, bottom = 66, 47, 540, 343 maze = anim.create_maze_in_region(cell_size=4, region=(left, top, right, bottom), mask=mask) anim.pad_delay_frame(100) # paint the blackboard surface.rectangle(left, top, right - left + 1, bottom - top + 1, 0) # in the first algorithm only 4 colors occur in the image, so we can use # a smaller minimum code length, this can help reduce the file size significantly. surface.set_lzw_compress(2) # pad one second delay, get ready! anim.pad_delay_frame(100) # the animation runs here. wilson(maze, root=(0, 0)) # pad three seconds delay to see the result clearly. anim.pad_delay_frame(300) # now we run the maze solving algorithm. # this time we use full 256 colors, hence the minimum code length is 8. surface.set_lzw_compress(8) # the tree and wall are unchanged throughout the maze solving algorithm hence # it's safe to use 0 as the transparent color and color the wall and tree transparent. anim.set_colormap({0: 0, 1: 0, 2: 2, 3: 3}) anim.set_control(speed=30, delay=5, trans_index=0) # run the maze solving algorithm. bfs(maze, start=(0, 0), end=(maze.size[0] - 1, maze.size[1] - 1)) # pad five seconds delay to see the path clearly. anim.pad_delay_frame(500) # save the result. surface.save('wilson_bfs.gif') surface.close()

3e105caf515da97595cf131c9228511ab5a47c2b

py

Python

2-mouth02/socket/communnication.py

gary-gggggg/gary

d8ba30ea4bc2b662a2d6a87d247f813e5680d63e

2021-02-01T10:28:11.000Z

2021-02-01T10:34:40.000Z

2-mouth02/socket/communnication.py

gary-gggggg/gary

d8ba30ea4bc2b662a2d6a87d247f813e5680d63e

2-mouth02/socket/communnication.py

gary-gggggg/gary

d8ba30ea4bc2b662a2d6a87d247f813e5680d63e

from socket import * a=input("请输入IP地址：") b=input("请输入端口：") ADDR = ("176.17.12.178", 31414) giao = socket(AF_INET, SOCK_DGRAM) while 1: m = input(":") if not m: break else: giao.sendto(m.encode(), ADDR) d, a = giao.recvfrom(1024) print("意思是", d.decode()) giao.close()

3e11bd4f5fe50f533d78b84480d62520eb696807

py

Python

NhMedicalSite/panel/urls.py

Dogruyer/ecommerce

aa505b401e42882a96e6ef6375bd1a1ed95c5b85

NhMedicalSite/panel/urls.py

Dogruyer/ecommerce

aa505b401e42882a96e6ef6375bd1a1ed95c5b85

NhMedicalSite/panel/urls.py

Dogruyer/ecommerce

aa505b401e42882a96e6ef6375bd1a1ed95c5b85

2018-11-01T11:10:58.000Z

2018-11-01T11:10:58.000Z

from django.conf.urls import url from django.conf import settings from panel.views import * urlpatterns = [ url(r'^$', index, name='index'), ]

3e11beb96e30d1e453934e9af1acf5d6478cd742

py

Python

nice_paintig.py

rushdi21-meet/meet2019y1lab6

e87c2f04593c8f7e3a5c1c66260c49a3690db90c

nice_paintig.py

rushdi21-meet/meet2019y1lab6

e87c2f04593c8f7e3a5c1c66260c49a3690db90c

nice_paintig.py

rushdi21-meet/meet2019y1lab6

e87c2f04593c8f7e3a5c1c66260c49a3690db90c