index int64 | repo_name string | branch_name string | path string | content string | import_graph string |
|---|---|---|---|---|---|
94,275 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/GUI/PyQtPlot/Widgets/DockPlanningHelperWidget/DockPlanningHelperWidget.py | # DockPlanningHelperWidget.py
# Generated from c:\Users\pho\repos\pyPhoPlaceCellAnalysis\src\pyphoplacecellanalysis\GUI\PyQtPlot\Widgets\DockPlanningHelperWidget\DockPlanningHelperWidget.ui automatically by PhoPyQtClassGenerator VSCode Extension
import pyphoplacecellanalysis.External.pyqtgraph as pg
from pyphoplacecell... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,276 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/General/Batch/runBatch.py | import sys
import os
import pkg_resources # for Slurm templating
from jinja2 import Environment, FileSystemLoader # for Slurm templating
import logging
import socket # for getting hostname in `build_batch_processing_session_task_identifier`
from datetime import datetime, timedelta
import pathlib
from pathlib import Pat... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,277 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/Analysis/Decoder/reconstruction.py | from copy import deepcopy
from pathlib import Path
from attrs import define, field, Factory # for DecodedFilterEpochsResult
# import pathlib
import numpy as np
import pandas as pd
# from scipy.stats import multivariate_normal
from scipy.special import factorial, logsumexp
# import neuropy
from neuropy.utils.dynamic_c... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,278 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/GUI/Qt/ZoomAndNavigationSidebarControls/Spike3DRasterLeftSidebarControlBarBase.py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'c:\Users\pho\repos\pyPhoPlaceCellAnalysis\src\pyphoplacecellanalysis\GUI\Qt\ZoomAndNavigationSidebarControls\Spike3DRasterLeftSidebarControlBarBase.ui'
#
# Created by: PyQt5 UI code generator 5.15.4
#
# WARNING: Any manual changes made to th... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,279 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/General/Pipeline/Stages/DisplayFunctions/FiringStatisticsDisplayFunctions.py | import numpy as np
import pandas as pd
from pyphocorehelpers.mixins.member_enumerating import AllFunctionEnumeratingMixin
from pyphoplacecellanalysis.General.Pipeline.Stages.DisplayFunctions.DisplayFunctionRegistryHolder import DisplayFunctionRegistryHolder
import pyphoplacecellanalysis.External.pyqtgraph as pg
clas... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,280 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/GUI/PyQtPlot/Widgets/GraphicsObjects/CustomLinearRegionItem.py | from typing import Callable
from pyphoplacecellanalysis.External.pyqtgraph.Qt import QtCore, QtGui
from pyphoplacecellanalysis.External.pyqtgraph.graphicsItems.LinearRegionItem import LinearRegionItem
# from pyphoplacecellanalysis.External.pyqtgraph.graphicsItems.GraphicsObject import GraphicsObject
from pyphoplacecell... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,281 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/General/Pipeline/Stages/Computation.py | from collections import OrderedDict
import sys
from datetime import datetime, timedelta
import typing
from typing import Optional
from warnings import warn
import numpy as np
import pandas as pd
from pathlib import Path
from enum import Enum # for EvaluationActions
from datetime import datetime
# NeuroPy (Diba Lab Pyt... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,282 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/General/Mixins/CrossComputationComparisonHelpers.py | # CrossComputationComparisonHelpers
from typing import Dict, List, Optional, Tuple
import numpy as np
from functools import reduce # _find_any_context_neurons
from attrs import define, field, Factory
from neuropy.utils.dynamic_container import DynamicContainer, override_dict, overriding_dict_with, get_dict_subset
from... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,283 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/Pho2D/matplotlib/visualize_heatmap.py | """
title: visualize_heatmap.py
date: 2023-03-22 15:11:25
tags: python, matplotlib, heatmap, visualization
"""
import numpy as np
import matplotlib.pyplot as plt
from pyphocorehelpers.function_helpers import function_attributes
@function_attributes(short_name='visualize_heatmap', tags=['display','matplotlib','heatmap'... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,284 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/Pho2D/PyQtPlots/TimeSynchronizedPlotters/TimeSynchronizedOccupancyPlotter.py | import numpy as np
import pandas as pd
from qtpy import QtCore, QtWidgets
# from neuropy.analyses.time_dependent_placefields import PfND_TimeDependent
import pyphoplacecellanalysis.External.pyqtgraph as pg
# from pyphoplacecellanalysis.External.pyqtgraph.Qt import QtCore, QtGui
from pyphocorehelpers.DataStructure.gen... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,285 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/GUI/PyQtPlot/Flowchart/CustomNodes/DisplayNodes/UnsharpMaskNode.py | from pyphoplacecellanalysis.External.pyqtgraph.flowchart import Flowchart, Node
import pyphoplacecellanalysis.External.pyqtgraph.flowchart.library as fclib
from pyphoplacecellanalysis.External.pyqtgraph.flowchart.library.common import CtrlNode
from pyphoplacecellanalysis.External.pyqtgraph.Qt import QtGui, QtCore
impor... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,286 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/General/Model/LiveWindowedData.py | # LiveWindowedData.py
from pyphoplacecellanalysis.External.pyqtgraph.Qt import QtCore
import numpy as np
import pandas as pd
from pyphocorehelpers.print_helpers import SimplePrintable, PrettyPrintable
from pyphoplacecellanalysis.General.Model.Datasources.Datasources import DataframeDatasource
from pyphoplacecellanalys... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,287 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/General/Model/ComputationResults.py | # NeuroPy (Diba Lab Python Repo) Loading
# import importlib
from dataclasses import dataclass
import sys
import typing
from typing import Optional, Dict, Any
from attrs import define, field, Factory, asdict # used for `ComputedResult`
import numpy as np
from neuropy import core
from neuropy.core.session.dataSession i... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,288 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/GUI/PyVista/InteractivePlotter/InteractivePlaceCellDataExplorer.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: pho
"""
import numpy as np
import pyvista as pv
from qtpy import QtCore, QtGui # for Slot
# Signal
from pyphocorehelpers.gui.Qt.GlobalConnectionManager import GlobalConnectionManager, GlobalConnectionManagerAccessingMixin
from pyphocorehelpers.gui.PyVista... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,289 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/GUI/Qt/Menus/SpecificMenus/DockedWidgets_MenuProvider.py | from qtpy import QtCore, QtGui, QtWidgets
from pyphoplacecellanalysis.Resources import GuiResources, ActionIcons
from pyphocorehelpers.gui.PhoUIContainer import PhoUIContainer
from pyphoplacecellanalysis.GUI.Qt.Menus.PhoMenuHelper import PhoMenuHelper
from pyphoplacecellanalysis.GUI.Qt.Menus.BaseMenuProviderMixin impo... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,290 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/External/breeze_style_sheets/example/lcd.py | #!/usr/bin/env python
#
# The MIT License (MIT)
#
# Copyright (c) <2022-Present> <Alex Huszagh>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the 'Software'), to deal
# in the Software without restriction, including without limita... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,291 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/GUI/PyQtPlot/Examples/pyqtplot_SimplePlot.py | import pyphoplacecellanalysis.External.pyqtgraph as pg
from pyphoplacecellanalysis.External.pyqtgraph.Qt import QtCore, QtGui, QtWidgets
import numpy as np
def plot_simple_graph(y=np.random.normal(size=100)):
app = pg.mkQApp("Plotting Example")
#mw = QtGui.QMainWindow()
#mw.resize(800,800)
win = p... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,292 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/General/Batch/BatchFilesystemFinders.py | from pathlib import Path
import pathlib
import numpy as np
import pandas as pd
from attrs import define, field
from pyphocorehelpers.Filesystem.path_helpers import find_first_extant_path
from pyphocorehelpers.function_helpers import function_attributes
from pyphocorehelpers.Filesystem.path_helpers import set_posix_wi... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,293 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/GUI/Qt/Menus/BaseMenuProviderMixin.py | from qtpy import QtCore, QtGui, QtWidgets
from pyphoplacecellanalysis.Resources import GuiResources, ActionIcons
# from pyphocorehelpers.gui.PhoUIContainer import PhoUIContainer
from pyphoplacecellanalysis.GUI.Qt.Menus.PhoMenuHelper import PhoMenuHelper
def initialize_global_menu_ui_variables_if_needed(a_main_window... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,294 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/GUI/PyVista/InteractivePlotter/InteractivePlaceCellTuningCurvesDataExplorer.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: pho
"""
from collections import OrderedDict
from copy import deepcopy
from warnings import warn
import numpy as np
import pandas as pd
import pyvista as pv
from pyvistaqt import BackgroundPlotter
from matplotlib.colors import ListedColormap, to_hex
from sci... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,295 | CommanderPho/pyPhoPlaceCellAnalysis | refs/heads/master | /src/pyphoplacecellanalysis/General/Pipeline/Stages/Filtering.py |
from pyphocorehelpers.DataStructure.dynamic_parameters import DynamicParameters # to replace simple PlacefieldComputationParameters
from pyphoplacecellanalysis.PhoPositionalData.analysis.interactive_placeCell_config import build_configs # TODO: should be replaced by a better and internal config
# ===================... | {"/src/pyphoplacecellanalysis/Pho3D/__init__.py": ["/src/pyphoplacecellanalysis/Pho3D/points.py", "/src/pyphoplacecellanalysis/Pho3D/spikes.py"]} |
94,315 | weiaicunzai/Tensorflow-practice | refs/heads/master | /test.py | #test.py
#!/usr/bin/env python3
""" test neuron network performace
print top1 and top5 err on test dataset
of a model
author baiyu
"""
import argparse
from matplotlib import pyplot as plt
import torch
import torchvision.transforms as transforms
from torch.utils.data import DataLoader, random_split
from conf impo... | {"/test.py": ["/utils.py", "/dataset.py"], "/train.py": ["/utils.py", "/dataset.py"]} |
94,316 | weiaicunzai/Tensorflow-practice | refs/heads/master | /legacy/dataset.py | """ train and test dataset
author baiyu
"""
import os
import sys
import pickle
import random
import glob
import string
from collections import namedtuple
import numpy as np
import torch
from torch.utils.data import Dataset, DataLoader
import torchvision.transforms.functional as TF
import lmdb
import cv2
Records = n... | {"/test.py": ["/utils.py", "/dataset.py"], "/train.py": ["/utils.py", "/dataset.py"]} |
94,317 | weiaicunzai/Tensorflow-practice | refs/heads/master | /train.py | import argparse
import os
import time
import re
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.tensorboard import SummaryWriter
from torch.utils.data import random_split
import numpy as np
from torchvision import transforms
from utils import WarmUpLR, network
import utils
from utils i... | {"/test.py": ["/utils.py", "/dataset.py"], "/train.py": ["/utils.py", "/dataset.py"]} |
94,318 | weiaicunzai/Tensorflow-practice | refs/heads/master | /utils.py | """ helper function
author baiyu
"""
import os
import sys
import re
import datetime
import random
import numpy
import cv2
import torch
from torch.optim.lr_scheduler import _LRScheduler
from torch.utils.data import DataLoader
import torchvision
import torchvision.transforms as transforms
import torchvision.transforms... | {"/test.py": ["/utils.py", "/dataset.py"], "/train.py": ["/utils.py", "/dataset.py"]} |
94,319 | weiaicunzai/Tensorflow-practice | refs/heads/master | /dataset.py | """ train and test dataset
author baiyu
"""
import os
import sys
import pickle
import random
import glob
import string
from collections import namedtuple
import numpy as np
import torch
from torch.utils.data import Dataset, DataLoader
import torchvision.transforms.functional as TF
import lmdb
import cv2
Records = n... | {"/test.py": ["/utils.py", "/dataset.py"], "/train.py": ["/utils.py", "/dataset.py"]} |
94,320 | weiaicunzai/Tensorflow-practice | refs/heads/master | /conf/global_settings.py | """ configurations for this project
author baiyu
"""
import os
from datetime import datetime
#CIFAR100 dataset path (python version)
#CIFAR100_PATH = '/nfs/private/cifar100/cifar-100-python'
#mean and std of cifar100 dataset
#CIFAR100_TRAIN_MEAN = (0.5070751592371323, 0.48654887331495095, 0.4409178433670343)
#CIFAR1... | {"/test.py": ["/utils.py", "/dataset.py"], "/train.py": ["/utils.py", "/dataset.py"]} |
94,326 | AB2212/Udacity-DeepRL-Project-Collaboration-and-Competition | refs/heads/master | /model.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from utils import init_layers
class Actor (nn.Module):
"""
Defines the neural network architecture
that will be used by the actor
"""
def __init__(self, state_size, action_size,
hidden_neurons,... | {"/model.py": ["/utils.py"], "/maddpg.py": ["/agent.py", "/noise_generator.py", "/replay_buffer.py"], "/agent.py": ["/model.py", "/utils.py", "/config_file.py"]} |
94,327 | AB2212/Udacity-DeepRL-Project-Collaboration-and-Competition | refs/heads/master | /replay_buffer.py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import random
from collections import deque, namedtuple
#Device type (use cuda if gpu is available else cpu)
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
class ReplayBuffer():
"""
Replay Buf... | {"/model.py": ["/utils.py"], "/maddpg.py": ["/agent.py", "/noise_generator.py", "/replay_buffer.py"], "/agent.py": ["/model.py", "/utils.py", "/config_file.py"]} |
94,328 | AB2212/Udacity-DeepRL-Project-Collaboration-and-Competition | refs/heads/master | /noise_generator.py | import numpy as np
class OUNoise():
"""
Ornstein-Uhlenbeck process for temporally
correlated noise generation
credit: Adopted from https://github.com/vitchyr/rlkit/blob/master/rlkit/exploration_strategies/ou_strategy.py
"""
def __init__(self, action_size,
action... | {"/model.py": ["/utils.py"], "/maddpg.py": ["/agent.py", "/noise_generator.py", "/replay_buffer.py"], "/agent.py": ["/model.py", "/utils.py", "/config_file.py"]} |
94,329 | AB2212/Udacity-DeepRL-Project-Collaboration-and-Competition | refs/heads/master | /maddpg.py | import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import numpy as np
from agent import Agent
from noise_generator import OUNoise
from replay_buffer import ReplayBuffer
class MADDPG(nn.Module):
def __init__(self, state_size, action_size,
num_agents... | {"/model.py": ["/utils.py"], "/maddpg.py": ["/agent.py", "/noise_generator.py", "/replay_buffer.py"], "/agent.py": ["/model.py", "/utils.py", "/config_file.py"]} |
94,330 | AB2212/Udacity-DeepRL-Project-Collaboration-and-Competition | refs/heads/master | /config_file.py | class Config():
BUFFER_SIZE = int(1e6) # replay buffer size
BATCH_SIZE = 512 # minibatch size
UPDATE_EVERY = 1 # how often to update the network
NUM_UPDATES = 2 # Number of passes
NUM_NEURONS_LAYER1 = 512 # Number of neurons in layer 1
NUM_NEURO... | {"/model.py": ["/utils.py"], "/maddpg.py": ["/agent.py", "/noise_generator.py", "/replay_buffer.py"], "/agent.py": ["/model.py", "/utils.py", "/config_file.py"]} |
94,331 | AB2212/Udacity-DeepRL-Project-Collaboration-and-Competition | refs/heads/master | /agent.py | import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from model import Actor, Critic
from utils import init_layers
from config_file import Config
BUFFER_SIZE = Config.BUFFER_SIZE # replay buffer size
BATCH_SIZE = Config.BATCH_SIZE # minibatch ... | {"/model.py": ["/utils.py"], "/maddpg.py": ["/agent.py", "/noise_generator.py", "/replay_buffer.py"], "/agent.py": ["/model.py", "/utils.py", "/config_file.py"]} |
94,332 | AB2212/Udacity-DeepRL-Project-Collaboration-and-Competition | refs/heads/master | /utils.py | import numpy as np
import matplotlib.pyplot as plt
def init_layers(layer):
"""
Function to calculate the initialization
values for the weights of the network,
based on the DDPG paper
https://arxiv.org/abs/1509.02971
"""
fan_in = layer.weight.data.size()[0]
lim = 1. / np.s... | {"/model.py": ["/utils.py"], "/maddpg.py": ["/agent.py", "/noise_generator.py", "/replay_buffer.py"], "/agent.py": ["/model.py", "/utils.py", "/config_file.py"]} |
94,347 | SlashScreen/pyraytrace | refs/heads/master | /raytracer.py | #raytrace.py
###INCLUDES###
from PIL import Image
from vectors import Point, Vector
from rayclasses import *
###VARIABLES###
#define window, create image. img is the output
window = {"w":200,"h":100}
img = Image.new("RGB",(window["w"],window["h"]))
raw = img.load()
#define vectors needed
lowerLeftCorner = Vector(... | {"/raytracer.py": ["/rayclasses.py"]} |
94,348 | SlashScreen/pyraytrace | refs/heads/master | /rayclasses.py | #rayclasses.py
###INCLUDES###
from functools import reduce
import math
import numpy as np
import random
###FUNCTIONS###
def color(ray,hittable): #Main render function: grabs color according to vector.
# go through Hittable list
for b in hittable:
h,rec = b.hit(ray)
if h > 0:
targ... | {"/raytracer.py": ["/rayclasses.py"]} |
94,357 | Dozy0/mobile | refs/heads/master | /core/views.py | from django.db.models import Sum
from django.shortcuts import render, redirect
from django.contrib.auth import update_session_auth_hash
from django.contrib.auth.forms import PasswordChangeForm
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from transactions.models import... | {"/notification/url.py": ["/notification/views.py"], "/notification/views.py": ["/notification/models.py"]} |
94,358 | Dozy0/mobile | refs/heads/master | /accounts/urls.py | from django.conf.urls import url
from accounts import views
from .views import (
login_view,
register_view,
logout_view,
)
from django.contrib.auth.views import password_reset, password_reset_done
urlpatterns = [
url(r'^login/$', login_view, name='login'),
url(r'^register/$', register_view, name... | {"/notification/url.py": ["/notification/views.py"], "/notification/views.py": ["/notification/models.py"]} |
94,359 | Dozy0/mobile | refs/heads/master | /notification/url.py |
from django.conf.urls import url
from notification.views import show_notification,delete_notification
from. import views
# from django.conf.urls import path
# urlpatterns=[
# url(r'^show/$',show_notification, name='show_notification'),
# url(r'^delete/$',delete_notification,name='delete_notification'... | {"/notification/url.py": ["/notification/views.py"], "/notification/views.py": ["/notification/models.py"]} |
94,360 | Dozy0/mobile | refs/heads/master | /notification/models.py | from django.db import models
from accounts.models import User
from django.db.models.signals import post_save
from django.dispatch import receiver
# Create your models here.
class Notification(models.Model):
title = models.CharField(max_length=256)
message =models.TextField()
viewed = models.BooleanField(d... | {"/notification/url.py": ["/notification/views.py"], "/notification/views.py": ["/notification/models.py"]} |
94,361 | Dozy0/mobile | refs/heads/master | /accounts/admin.py | from django.contrib import admin
from .models import User, AccountDetails, UserAddress,ping
admin.site.register(User)
admin.site.register(AccountDetails)
admin.site.register(UserAddress)
admin.site.register(ping) | {"/notification/url.py": ["/notification/views.py"], "/notification/views.py": ["/notification/models.py"]} |
94,362 | Dozy0/mobile | refs/heads/master | /notification/views.py |
from django.http import Http404
from django.shortcuts import render
from django.shortcuts import get_object_or_404, render
from notification.models import Notification
# Create your views here.
def show_notification(request, notification_id):
n = get_object_or_404(Notification, pk=notification_id)
return r... | {"/notification/url.py": ["/notification/views.py"], "/notification/views.py": ["/notification/models.py"]} |
94,363 | VincentHahaha/Python-Learning | refs/heads/master | /Practice3-2.py | # 從官網資訊學習使用系統內建的模組 random 產生 1~100 間的亂數
import random
# n = random.randint(1,100)
# 呈現 1~100 10x10 亂數矩陣
x=random.sample(range(1,101),k=100)
a=1
while a<=100:
if a%10==0:
print(x[a-1])
a+=1
else:
print(x[a-1],end="\t")
a+=1
| {"/Practice3-1.py": ["/Prac3/multiple.py", "/Prac3/calculate.py"]} |
94,364 | VincentHahaha/Python-Learning | refs/heads/master | /python-Demo.py | import urllib.request as request
import ssl
import bs4
# import sys
# sys.setrecursionlimit(1000000)
def getData(src):
context=ssl._create_unverified_context()
req=request.Request(src, headers={
"User-Agent":"Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chro... | {"/Practice3-1.py": ["/Prac3/multiple.py", "/Prac3/calculate.py"]} |
94,365 | VincentHahaha/Python-Learning | refs/heads/master | /Prac3/multiple.py |
def list(n1,n2) :
for w in range(n1,n2+1) :
for n in range(n1,n2):
if n*w <10 :
print(n,"x",w,"= ",n*w,end=" ")
else:
print(n,"x",w,"=",n*w,end=" ")
if w==1 and n2==9 :
print(9,"x",w,"= ",9*w)
... | {"/Practice3-1.py": ["/Prac3/multiple.py", "/Prac3/calculate.py"]} |
94,366 | VincentHahaha/Python-Learning | refs/heads/master | /Practice2-1.py | # 四則運算
while True :
print('\n這是小學生計算機, 運算式請輸入 "+,-,*,/" \n')
print("輸入格式 : 3 * 5 (全部輸入完請按 Enter ) \n")
try:
n1,op,n2=input().split()
except ValueError:
print("\n忘記空格了齁！ 重來 OK ?!\n")
continue
n1=int(n1)
n2=int(n2)
print("= ",end="")
if op ... | {"/Practice3-1.py": ["/Prac3/multiple.py", "/Prac3/calculate.py"]} |
94,367 | VincentHahaha/Python-Learning | refs/heads/master | /Practice2-4.py | # 質數偵測
print("\n我要來幫你檢查是不是質數了, you know.")
n=int(input("請輸入一個正整數 : "))
print("\n",n,"的因數有 : ",end="")
const=0
for x in range(1,n+1) :
if n%x ==0 :
print(x,",",end=" ")
const+=1
if const >=3 :
print("\n\n除了 1 和",n,"以外還有其他因數")
print("\n所以",n,"不是質數 ~")
else:
print("\n\n唉呦, 看來",n,"是質... | {"/Practice3-1.py": ["/Prac3/multiple.py", "/Prac3/calculate.py"]} |
94,368 | VincentHahaha/Python-Learning | refs/heads/master | /Practice2-3.py | # 輸出九九乘法表
print("Ladies & Gentleman !")
print("來看我一次變出九九乘法表囉！")
print("倒數五秒~\n")
import threading
import time
def fun_timer():
print("秒")
global timer
timer = threading.Timer(1, fun_timer)
timer.start()
print("秒")
timer = threading.Timer(1, fun_timer)
timer.start()
time.sleep(5)
timer.cancel(... | {"/Practice3-1.py": ["/Prac3/multiple.py", "/Prac3/calculate.py"]} |
94,369 | VincentHahaha/Python-Learning | refs/heads/master | /Practice4-1.py | # 1. 使用台北公開資料的 [台北市台北旅遊網-景點資料]
# 2. 使用者可以用捷運站名稱蒐尋景點
# 3. 將對應到的景點資訊儲存在檔案中
import urllib.request as request
import json
with request.urlopen("http://data.taipei/opendata/datalist/apiAccess?scope=resourceAquire&rid=36847f3f-deff-4183-a5bb-800737591de5") as response:
data=json.load(response)
while True:
key=inpu... | {"/Practice3-1.py": ["/Prac3/multiple.py", "/Prac3/calculate.py"]} |
94,370 | VincentHahaha/Python-Learning | refs/heads/master | /Practice2-2.py | # 使用者輸入一個正整數，算整數平方根
while True:
print("\n我要來算平方根, you know.")
n=int(input("請輸入一個正整數 : "))
x=1
while x**2 <= n:
if x**2 == n:
print("\n",n,"的平方根 = " ,x)
break
else :
x+=1
if x**2>n :
print("\nSorry 我只有國中智商...")
print("輸入... | {"/Practice3-1.py": ["/Prac3/multiple.py", "/Prac3/calculate.py"]} |
94,371 | VincentHahaha/Python-Learning | refs/heads/master | /Practice3-1.py | # 程式包裝
# 1. 把 99 乘法表包裝成函式，可做 n1xn2 乘法
# 2. 把四則運算機包裝成函式
# 3. 將以上函式包裝在自己的模組和封包中，並且在主程式成功使用
import Prac3.multiple as m
import Prac3.calculate as c
while True:
print("\n1. 四則運算機\n2. n1 x n2 乘法表 \n")
choice=input("輸入 1 或 2 選擇你要執行的項目 : ")
if choice=="1" :
while True :
print('\n這... | {"/Practice3-1.py": ["/Prac3/multiple.py", "/Prac3/calculate.py"]} |
94,372 | VincentHahaha/Python-Learning | refs/heads/master | /Prac3/calculate.py |
def Cal(n1,n2,op) :
if op =="+":
print(n1+n2)
elif op =="-":
print(n1-n2)
elif op =="*":
print(n1*n2)
elif op =="/":
print(n1/n2)
else :
print("What the hell ?")
print("\n") | {"/Practice3-1.py": ["/Prac3/multiple.py", "/Prac3/calculate.py"]} |
94,373 | VincentHahaha/Python-Learning | refs/heads/master | /Practice1.py |
loop=1
while loop>0 :
print("\n快輸入五個數字 !! (每輸入一個記得Enter)\n")
# n1=int(input("來第一個 : "))
# n2=int(input("來第二個 : "))
# n3=int(input("來第三個 : "))
# n4=int(input("來第四個 : "))
# n5=int(input("來第五個 : "))
n1=input("來第一個 : ")
n2=input("來第二個 : ")
n3=input("來第三個 : ")
n4=input("來第四... | {"/Practice3-1.py": ["/Prac3/multiple.py", "/Prac3/calculate.py"]} |
94,392 | abrazinskas/NLP2-project-3 | refs/heads/master | /runs/latentgatevae.py | import tensorflow as tf
import numpy as np
from pprint import pprint
import pickle
from utils import smart_reader, bitext_reader
from utils import iterate_minibatches, prepare_data
from vocabulary import OrderedCounter, Vocabulary
from models.latengatevae import LatentGateVAE
from trainers.vaetrainer import VAETrainer... | {"/runs/latentgatevae.py": ["/models/latengatevae.py"], "/models/neuralibm1_collocations.py": ["/support.py"], "/runs/collocations.py": ["/models/neuralibm1_collocations.py"]} |
94,393 | abrazinskas/NLP2-project-3 | refs/heads/master | /support.py | import numpy as np
def create_history(target):
# create history
history = np.zeros(target.shape)
# print(target.shape)
history[:, 1:] = target[:, :-1]
return history | {"/runs/latentgatevae.py": ["/models/latengatevae.py"], "/models/neuralibm1_collocations.py": ["/support.py"], "/runs/collocations.py": ["/models/neuralibm1_collocations.py"]} |
94,394 | abrazinskas/NLP2-project-3 | refs/heads/master | /runs/eval.py | import tensorflow as tf
from models.neuralibm1_context import NeuralIBM1ContextModel
from vocabulary import OrderedCounter, Vocabulary
from utils import smart_reader, bitext_reader
import pickle
# the paths to our training and validation data, English side
train_e_path = 'data/training/hansards.36.2.e.gz'
train_f_path... | {"/runs/latentgatevae.py": ["/models/latengatevae.py"], "/models/neuralibm1_collocations.py": ["/support.py"], "/runs/collocations.py": ["/models/neuralibm1_collocations.py"]} |
94,395 | abrazinskas/NLP2-project-3 | refs/heads/master | /notebooks/plots/plots.py | import matplotlib.pyplot as plt
epochs = range(1, 6)
# accuracy
# training = [0.20, 0.20, 0.20, 0.20, 0.20]
# validation = [0.18, 0.18, 0.18, 0.18, 0.18]
#
# plt.plot(epochs, training, 'r', label="training")
# plt.plot(epochs, validation, 'b', label="validation")
# plt.xlabel("Epochs")
# plt.ylabel("Accuracy")
# plt.... | {"/runs/latentgatevae.py": ["/models/latengatevae.py"], "/models/neuralibm1_collocations.py": ["/support.py"], "/runs/collocations.py": ["/models/neuralibm1_collocations.py"]} |
94,396 | abrazinskas/NLP2-project-3 | refs/heads/master | /models/neuralibm1_collocations.py | import numpy as np
import tensorflow as tf
from aer import read_naacl_alignments, AERSufficientStatistics
from utils import iterate_minibatches, prepare_data
from support import create_history
# for TF 1.1
import tensorflow
try:
from tensorflow.contrib.keras.initializers import glorot_uniform
except: # for TF 1.... | {"/runs/latentgatevae.py": ["/models/latengatevae.py"], "/models/neuralibm1_collocations.py": ["/support.py"], "/runs/collocations.py": ["/models/neuralibm1_collocations.py"]} |
94,397 | abrazinskas/NLP2-project-3 | refs/heads/master | /models/latengatevae.py | import numpy as np
import tensorflow as tf
from aer import read_naacl_alignments, AERSufficientStatistics
from utils import iterate_minibatches, prepare_data
# for TF 1.1
import tensorflow
try:
from tensorflow.contrib.keras.initializers import glorot_uniform
except: # for TF 1.0
from tensorflow.contrib.layers imp... | {"/runs/latentgatevae.py": ["/models/latengatevae.py"], "/models/neuralibm1_collocations.py": ["/support.py"], "/runs/collocations.py": ["/models/neuralibm1_collocations.py"]} |
94,398 | abrazinskas/NLP2-project-3 | refs/heads/master | /runs/collocations.py | import tensorflow as tf
import pickle
from utils import smart_reader, bitext_reader
from vocabulary import Vocabulary
from models.neuralibm1_collocations import NeuralIBM1CollocationsModel
from trainers.neuralibm1trainer_context import NeuralIBM1ContextTrainer
# the paths to our training and validation data, English ... | {"/runs/latentgatevae.py": ["/models/latengatevae.py"], "/models/neuralibm1_collocations.py": ["/support.py"], "/runs/collocations.py": ["/models/neuralibm1_collocations.py"]} |
94,409 | tobby2002/Hyperactive | refs/heads/master | /examples/example_mlp.py | from sklearn.datasets import load_breast_cancer
from sklearn.model_selection import train_test_split
from hyperactive import ParticleSwarmOptimizer
breast_cancer_data = load_breast_cancer()
X = breast_cancer_data.data
y = breast_cancer_data.target
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0... | {"/hyperactive/model/__init__.py": ["/hyperactive/model/model_sklearn.py"]} |
94,410 | tobby2002/Hyperactive | refs/heads/master | /tests/test_sklearn.py | # Author: Simon Blanke
# Email: simon.blanke@yahoo.com
# License: MIT License
from sklearn.datasets import load_iris
data = load_iris()
X = data.data
y = data.target
search_config = {
"sklearn.tree.DecisionTreeClassifier": {
"criterion": ["gini", "entropy"],
"max_depth": range(1, 21),
"mi... | {"/hyperactive/model/__init__.py": ["/hyperactive/model/model_sklearn.py"]} |
94,411 | tobby2002/Hyperactive | refs/heads/master | /tests/test_keras_mlp.py | # Author: Simon Blanke
# Email: simon.blanke@yahoo.com
# License: MIT License
from sklearn.datasets import load_iris
data = load_iris()
X = data.data
y = data.target
search_config = {
"keras.compile.0": {"loss": ["binary_crossentropy"], "optimizer": ["adam"]},
"keras.fit.0": {"epochs": [1], "batch_size": [30... | {"/hyperactive/model/__init__.py": ["/hyperactive/model/model_sklearn.py"]} |
94,412 | tobby2002/Hyperactive | refs/heads/master | /hyperactive/model/__init__.py | # Author: Simon Blanke
# Email: simon.blanke@yahoo.com
# License: MIT License
from .model_sklearn import ScikitLearnModel
from .model_xgboost import XGBoostModel
from .model_light_gbm import LightGbmModel
from .model_keras import KerasModel
__all__ = ["ScikitLearnModel", "XGBoostModel", "LightGbmModel", "KerasModel... | {"/hyperactive/model/__init__.py": ["/hyperactive/model/model_sklearn.py"]} |
94,413 | tobby2002/Hyperactive | refs/heads/master | /tests/test_classes.py | # Author: Simon Blanke
# Email: simon.blanke@yahoo.com
# License: MIT License
search_config = {
"sklearn.tree.DecisionTreeClassifier": {
"criterion": ["gini", "entropy"],
"max_depth": range(1, 21),
"min_samples_split": range(2, 21),
"min_samples_leaf": range(1, 21),
}
}
def t... | {"/hyperactive/model/__init__.py": ["/hyperactive/model/model_sklearn.py"]} |
94,414 | tobby2002/Hyperactive | refs/heads/master | /examples/example_xgboost.py | import numpy as np
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from hyperactive import SimulatedAnnealingOptimizer
iris_data = load_iris()
X = iris_data.data
y = iris_data.target
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33)
# this defines... | {"/hyperactive/model/__init__.py": ["/hyperactive/model/model_sklearn.py"]} |
94,415 | tobby2002/Hyperactive | refs/heads/master | /examples/example_memory.py | from sklearn.datasets import load_iris
from hyperactive import RandomSearchOptimizer
iris_data = load_iris()
X = iris_data.data
y = iris_data.target
# this defines the model and hyperparameter search space
search_config = {
"sklearn.ensemble.RandomForestClassifier": {
"n_estimators": range(10, 200, 10),
... | {"/hyperactive/model/__init__.py": ["/hyperactive/model/model_sklearn.py"]} |
94,416 | tobby2002/Hyperactive | refs/heads/master | /hyperactive/chimaera/__init__.py | # Author: Simon Blanke
# Email: simon.blanke@yahoo.com
# License: MIT License
from .chimaera import Chimaera
__all__ = ["Chimaera"]
| {"/hyperactive/model/__init__.py": ["/hyperactive/model/model_sklearn.py"]} |
94,417 | tobby2002/Hyperactive | refs/heads/master | /examples/example_multiprocessing.py | import numpy as np
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from hyperactive import RandomSearchOptimizer
iris_data = load_iris()
X = iris_data.data
y = iris_data.target
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33)
# this defines the m... | {"/hyperactive/model/__init__.py": ["/hyperactive/model/model_sklearn.py"]} |
94,418 | tobby2002/Hyperactive | refs/heads/master | /examples/example_basic.py | from sklearn.datasets import load_iris
from hyperactive import RandomSearchOptimizer
iris_data = load_iris()
X = iris_data.data
y = iris_data.target
search_config = {
"sklearn.ensemble.RandomForestClassifier": {"n_estimators": range(10, 100, 10)}
}
Optimizer = RandomSearchOptimizer(search_config, n_iter=10, ver... | {"/hyperactive/model/__init__.py": ["/hyperactive/model/model_sklearn.py"]} |
94,419 | tobby2002/Hyperactive | refs/heads/master | /hyperactive/model/model_sklearn.py | # Author: Simon Blanke
# Email: simon.blanke@yahoo.com
# License: MIT License
from sklearn.model_selection import cross_val_score
from sklearn.metrics import make_scorer
from .model import Model
class ScikitLearnModel(Model):
def __init__(self, _config_, search_config_key):
super().__init__(_config_)
... | {"/hyperactive/model/__init__.py": ["/hyperactive/model/model_sklearn.py"]} |
94,420 | tobby2002/Hyperactive | refs/heads/master | /tests/_test_keras_cnn.py | from keras.datasets import cifar10
from keras.utils import to_categorical
(X_train, y_train), (X_test, y_test) = cifar10.load_data()
X = X_train[0:1000]
y = y_train[0:1000]
y = to_categorical(y)
y_test = to_categorical(y_test)
search_config = {
"keras.compile.0": {"loss": ["categorical_crossentropy"], "optimize... | {"/hyperactive/model/__init__.py": ["/hyperactive/model/model_sklearn.py"]} |
94,421 | reedessick/gpr_isotropy | refs/heads/master | /gpr_isotropy/sample.py | __doc__ = "a module that houses sampling logic for gpr_isotropy"
__author__ = "reed.essick@ligo.org"
#-------------------------------------------------
import sys
import h5py
import emcee
import healpy as hp
import numpy as np
from scipy.stats import gamma ### used to initialize RoModels
### non-standard libraries... | {"/gpr_isotropy/posterior.py": ["/gpr_isotropy/utils.py"], "/gpr_isotropy/prior.py": ["/gpr_isotropy/utils.py"]} |
94,422 | reedessick/gpr_isotropy | refs/heads/master | /gpr_isotropy/posterior.py | __doc__ = "a module housing posterior functions used in our inference of anisotropies"
__author__ = "reed.essick@ligo.org"
#-------------------------------------------------
import healpy as hp
import numpy as np
### non-standard libraries
from gpr_isotropy import likelihood
from gpr_isotropy.utils import DEFAULT_NU... | {"/gpr_isotropy/posterior.py": ["/gpr_isotropy/utils.py"], "/gpr_isotropy/prior.py": ["/gpr_isotropy/utils.py"]} |
94,423 | reedessick/gpr_isotropy | refs/heads/master | /gpr_isotropy/utils.py | __doc__ = "a module to house basic utilities (mostly I/O related) for the library"
__author__ = "reed.essick@ligo.org"
#-------------------------------------------------
import numpy as np
import healpy as hp
#-------------------------------------------------
TWOPI = 2*np.pi
LOG2PI = np.log(TWOPI)
DEFAULT_NSIDE = ... | {"/gpr_isotropy/posterior.py": ["/gpr_isotropy/utils.py"], "/gpr_isotropy/prior.py": ["/gpr_isotropy/utils.py"]} |
94,424 | reedessick/gpr_isotropy | refs/heads/master | /gpr_isotropy/configparser.py | __doc__ = "a module that houses config-parsing logic. Essentially, constructs objects based on specs in an INI"
__author__ = "reed.essick@ligo.org"
#-------------------------------------------------
from ConfigParser import ConfigParser
### non-standard libraries
from gpr_isotropy import sample
from gpr_isotropy imp... | {"/gpr_isotropy/posterior.py": ["/gpr_isotropy/utils.py"], "/gpr_isotropy/prior.py": ["/gpr_isotropy/utils.py"]} |
94,425 | reedessick/gpr_isotropy | refs/heads/master | /gpr_isotropy/likelihood.py | __doc__ = "a module housing the likelihood functions used in our inference of anisotropies"
__author__ = "reed.essick@ligo.org"
#-------------------------------------------------
import healpy as hp
import numpy as np
#-------------------------------------------------
class Likelihood(object):
"""
general c... | {"/gpr_isotropy/posterior.py": ["/gpr_isotropy/utils.py"], "/gpr_isotropy/prior.py": ["/gpr_isotropy/utils.py"]} |
94,426 | reedessick/gpr_isotropy | refs/heads/master | /gpr_isotropy/prior.py | __doc__ = "a module that houses the priors for our inferences"
__author__ = "reed.essick@ligo.org"
#-------------------------------------------------
import numpy as np
import healpy as hp
### non-standard libraries
from gpr_isotropy.utils import (TWOPI, LOG2PI)
#-------------------------------------------------
c... | {"/gpr_isotropy/posterior.py": ["/gpr_isotropy/utils.py"], "/gpr_isotropy/prior.py": ["/gpr_isotropy/utils.py"]} |
94,436 | Arthur-Laurent/Python | refs/heads/master | /comunaute/migrations/0007_auto_20200511_1102.py | # Generated by Django 3.1 on 2020-05-11 09:02
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('comunaute', '0006_commande_panier'),
]
operations = [
migrations.RemoveField(
model_name='panier'... | {"/comunaute/admin.py": ["/comunaute/models.py"], "/comunaute/urls.py": ["/comunaute/models.py"], "/comunaute/views.py": ["/comunaute/models.py", "/comunaute/forms.py"], "/comunaute/forms.py": ["/comunaute/models.py"]} |
94,437 | Arthur-Laurent/Python | refs/heads/master | /comunaute/migrations/0002_auto_20200511_0057.py | # Generated by Django 3.1 on 2020-05-10 22:57
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('comunaute', '0001_initial'),
]
operations = [
migrations.RenameModel(
old_name='Genre',
... | {"/comunaute/admin.py": ["/comunaute/models.py"], "/comunaute/urls.py": ["/comunaute/models.py"], "/comunaute/views.py": ["/comunaute/models.py", "/comunaute/forms.py"], "/comunaute/forms.py": ["/comunaute/models.py"]} |
94,438 | Arthur-Laurent/Python | refs/heads/master | /comunaute/admin.py | from django.contrib import admin
from .models import Categorie, Utilisateur,Produit,NatureDemande
admin.site.register(Categorie)
admin.site.register(Utilisateur)
admin.site.register(Produit)
admin.site.register(NatureDemande)
| {"/comunaute/admin.py": ["/comunaute/models.py"], "/comunaute/urls.py": ["/comunaute/models.py"], "/comunaute/views.py": ["/comunaute/models.py", "/comunaute/forms.py"], "/comunaute/forms.py": ["/comunaute/models.py"]} |
94,439 | Arthur-Laurent/Python | refs/heads/master | /comunaute/urls.py | from django.urls import path
from django.conf.urls import url
from . import views
from django.views.generic import ListView
from .models import *
urlpatterns = [
url("Accueil", views.Accueil,name="accueil"),
url("Inscription",views.inscription,name="inscription"),
url("Connexion",views.connexion,name="con... | {"/comunaute/admin.py": ["/comunaute/models.py"], "/comunaute/urls.py": ["/comunaute/models.py"], "/comunaute/views.py": ["/comunaute/models.py", "/comunaute/forms.py"], "/comunaute/forms.py": ["/comunaute/models.py"]} |
94,440 | Arthur-Laurent/Python | refs/heads/master | /comunaute/migrations/0004_produit_image.py | # Generated by Django 3.1 on 2020-05-11 06:53
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('comunaute', '0003_auto_20200511_0259'),
]
operations = [
migrations.AddField(
model_name='produit',
name='image',
... | {"/comunaute/admin.py": ["/comunaute/models.py"], "/comunaute/urls.py": ["/comunaute/models.py"], "/comunaute/views.py": ["/comunaute/models.py", "/comunaute/forms.py"], "/comunaute/forms.py": ["/comunaute/models.py"]} |
94,441 | Arthur-Laurent/Python | refs/heads/master | /comunaute/migrations/0012_utilisateur_adresseip.py | # Generated by Django 3.1 on 2020-05-22 11:48
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('comunaute', '0011_commande_enattente'),
]
operations = [
migrations.AddField(
model_name='utilisateur',
name='adressei... | {"/comunaute/admin.py": ["/comunaute/models.py"], "/comunaute/urls.py": ["/comunaute/models.py"], "/comunaute/views.py": ["/comunaute/models.py", "/comunaute/forms.py"], "/comunaute/forms.py": ["/comunaute/models.py"]} |
94,442 | Arthur-Laurent/Python | refs/heads/master | /comunaute/models.py | from django.db import models
from django.contrib.auth.models import UserManager, User
from django.utils import timezone
from address.models import AddressField
import random
import string
class Utilisateur(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE)
telephone = models.CharField... | {"/comunaute/admin.py": ["/comunaute/models.py"], "/comunaute/urls.py": ["/comunaute/models.py"], "/comunaute/views.py": ["/comunaute/models.py", "/comunaute/forms.py"], "/comunaute/forms.py": ["/comunaute/models.py"]} |
94,443 | Arthur-Laurent/Python | refs/heads/master | /comunaute/apps.py | from django.apps import AppConfig
class ComunauteConfig(AppConfig):
name = 'comunaute'
| {"/comunaute/admin.py": ["/comunaute/models.py"], "/comunaute/urls.py": ["/comunaute/models.py"], "/comunaute/views.py": ["/comunaute/models.py", "/comunaute/forms.py"], "/comunaute/forms.py": ["/comunaute/models.py"]} |
94,444 | Arthur-Laurent/Python | refs/heads/master | /comunaute/migrations/0011_commande_enattente.py | # Generated by Django 3.1 on 2020-05-21 20:31
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('comunaute', '0010_auto_20200521_1750'),
]
operations = [
migrations.AddField(
model_name='commande',
name='enattente',... | {"/comunaute/admin.py": ["/comunaute/models.py"], "/comunaute/urls.py": ["/comunaute/models.py"], "/comunaute/views.py": ["/comunaute/models.py", "/comunaute/forms.py"], "/comunaute/forms.py": ["/comunaute/models.py"]} |
94,445 | Arthur-Laurent/Python | refs/heads/master | /comunaute/views.py | from django.shortcuts import render
from .models import *
from django.views.generic import TemplateView
from django.views.generic.detail import DetailView
from django.contrib.auth.models import User, UserManager
from address.forms import AddressField
from django.shortcuts import redirect, get_object_or_404, render
from... | {"/comunaute/admin.py": ["/comunaute/models.py"], "/comunaute/urls.py": ["/comunaute/models.py"], "/comunaute/views.py": ["/comunaute/models.py", "/comunaute/forms.py"], "/comunaute/forms.py": ["/comunaute/models.py"]} |
94,446 | Arthur-Laurent/Python | refs/heads/master | /comunaute/migrations/0009_auto_20200521_1421.py | # Generated by Django 3.1 on 2020-05-21 12:21
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('comunaute', '0008_commande_complete'),
]
operations = [
migrations.AlterField(
model_name='commande',
name='complete',... | {"/comunaute/admin.py": ["/comunaute/models.py"], "/comunaute/urls.py": ["/comunaute/models.py"], "/comunaute/views.py": ["/comunaute/models.py", "/comunaute/forms.py"], "/comunaute/forms.py": ["/comunaute/models.py"]} |
94,447 | Arthur-Laurent/Python | refs/heads/master | /comunaute/forms.py | from django import forms
from .models import *
from django.forms import ModelForm
from address.forms import AddressField
from django.contrib.auth.models import User
class ConnexionForm(forms.Form):
username = forms.CharField(label="Nom d'utilisateur", max_length=30)
password = forms.CharField(label="Mot de pa... | {"/comunaute/admin.py": ["/comunaute/models.py"], "/comunaute/urls.py": ["/comunaute/models.py"], "/comunaute/views.py": ["/comunaute/models.py", "/comunaute/forms.py"], "/comunaute/forms.py": ["/comunaute/models.py"]} |
94,448 | Arthur-Laurent/Python | refs/heads/master | /comunaute/migrations/0003_auto_20200511_0259.py | # Generated by Django 3.1 on 2020-05-11 00:59
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('comunaute', '0002_auto_20200511_0057'),
]
operations = [
migrations.CreateModel(
name='NatureDemande',
fields=[
... | {"/comunaute/admin.py": ["/comunaute/models.py"], "/comunaute/urls.py": ["/comunaute/models.py"], "/comunaute/views.py": ["/comunaute/models.py", "/comunaute/forms.py"], "/comunaute/forms.py": ["/comunaute/models.py"]} |
94,449 | Arthur-Laurent/Python | refs/heads/master | /comunaute/migrations/0008_commande_complete.py | # Generated by Django 3.1 on 2020-05-21 12:20
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('comunaute', '0007_auto_20200511_1102'),
]
operations = [
migrations.AddField(
model_name='commande',
name='complete',
... | {"/comunaute/admin.py": ["/comunaute/models.py"], "/comunaute/urls.py": ["/comunaute/models.py"], "/comunaute/views.py": ["/comunaute/models.py", "/comunaute/forms.py"], "/comunaute/forms.py": ["/comunaute/models.py"]} |
94,462 | davidko/LinkbotPythonDemo | refs/heads/master | /led_demo.template.py | import linkbot
my_linkbot = linkbot.Linkbot('$SERIAL_ID')
my_linkbot.set_led_color($R, $G, $B)
| {"/led_demo.py": ["/util.py", "/led_dialog.py"], "/buzzer_demo.py": ["/util.py", "/buzzer_dialog.py"], "/main.py": ["/util.py", "/mainwindow.py", "/led_demo.py", "/buzzer_demo.py"]} |
94,463 | davidko/LinkbotPythonDemo | refs/heads/master | /util.py | import string
import tempfile
import subprocess
import threading
import os
def run_template_file(template_filename, mapping, callback=None):
with open(template_filename, 'r') as f:
s = string.Template(f.read())
exec_data = s.subsitute(mapping)
with tempfile.NamedTemporaryFile(delete=False) as f... | {"/led_demo.py": ["/util.py", "/led_dialog.py"], "/buzzer_demo.py": ["/util.py", "/buzzer_dialog.py"], "/main.py": ["/util.py", "/mainwindow.py", "/led_demo.py", "/buzzer_demo.py"]} |
94,464 | davidko/LinkbotPythonDemo | refs/heads/master | /led_demo.py | #!/usr/bin/env python3
import sys
import util
from PyQt4 import QtCore, QtGui
from led_dialog import Ui_Dialog
class LedDemo(QtGui.QDialog):
demo_finished_signal = QtCore.pyqtSignal()
def __init__(self, robot_id):
super().__init__()
self.ui = Ui_Dialog()
self.ui.setupUi(self)
... | {"/led_demo.py": ["/util.py", "/led_dialog.py"], "/buzzer_demo.py": ["/util.py", "/buzzer_dialog.py"], "/main.py": ["/util.py", "/mainwindow.py", "/led_demo.py", "/buzzer_demo.py"]} |
94,465 | davidko/LinkbotPythonDemo | refs/heads/master | /buzzer_dialog.py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'buzzer_dialog.ui'
#
# Created: Thu Oct 1 17:48:30 2015
# by: PyQt4 UI code generator 4.10.4
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore, QtGui
try:
_fromUtf8 = QtCore.QString.fromUtf8
except ... | {"/led_demo.py": ["/util.py", "/led_dialog.py"], "/buzzer_demo.py": ["/util.py", "/buzzer_dialog.py"], "/main.py": ["/util.py", "/mainwindow.py", "/led_demo.py", "/buzzer_demo.py"]} |
94,466 | davidko/LinkbotPythonDemo | refs/heads/master | /led_dialog.py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'led_dialog.ui'
#
# Created: Thu Oct 1 15:29:48 2015
# by: PyQt4 UI code generator 4.10.4
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore, QtGui
try:
_fromUtf8 = QtCore.QString.fromUtf8
except Att... | {"/led_demo.py": ["/util.py", "/led_dialog.py"], "/buzzer_demo.py": ["/util.py", "/buzzer_dialog.py"], "/main.py": ["/util.py", "/mainwindow.py", "/led_demo.py", "/buzzer_demo.py"]} |
94,467 | davidko/LinkbotPythonDemo | refs/heads/master | /move_dialog.py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'move_dialog.ui'
#
# Created: Sat Oct 3 08:37:42 2015
# by: PyQt4 UI code generator 4.9.3
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore, QtGui
try:
_fromUtf8 = QtCore.QString.fromUtf8
except Att... | {"/led_demo.py": ["/util.py", "/led_dialog.py"], "/buzzer_demo.py": ["/util.py", "/buzzer_dialog.py"], "/main.py": ["/util.py", "/mainwindow.py", "/led_demo.py", "/buzzer_demo.py"]} |
94,468 | davidko/LinkbotPythonDemo | refs/heads/master | /mainwindow.py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'mainwindow.ui'
#
# Created: Thu Oct 1 16:54:27 2015
# by: PyQt4 UI code generator 4.10.4
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore, QtGui
try:
_fromUtf8 = QtCore.QString.fromUtf8
except Att... | {"/led_demo.py": ["/util.py", "/led_dialog.py"], "/buzzer_demo.py": ["/util.py", "/buzzer_dialog.py"], "/main.py": ["/util.py", "/mainwindow.py", "/led_demo.py", "/buzzer_demo.py"]} |
94,469 | davidko/LinkbotPythonDemo | refs/heads/master | /move_demo.template.py | import linkbot
import math
my_linkbot = linkbot.Linkbot('$SERIAL_ID')
distance = $distance # Distance to travel
diameter = $diameter
radius = diameter/2 # Radius of the wheel
speed = $speed # How fast to travel (in/sec)
radians = distance/radius
degrees = radians * 180 / math.pi
radians_per_second = speed/ra... | {"/led_demo.py": ["/util.py", "/led_dialog.py"], "/buzzer_demo.py": ["/util.py", "/buzzer_dialog.py"], "/main.py": ["/util.py", "/mainwindow.py", "/led_demo.py", "/buzzer_demo.py"]} |
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