index int64 | repo_name string | branch_name string | path string | content string | import_graph string |
|---|---|---|---|---|---|
37,249,343 | 0xDECAFC0FFEE/edge_meta_learning | refs/heads/master | /src/models/vgg.py | import torch
import torch.nn as nn
import torch.nn.init as init
import numpy as np
class VGG_cifar10(nn.Module):
def __init__(self, layers_desc, data_input_shape=(3, 32, 32)):
super(VGG_cifar10, self).__init__()
in_shape = data_input_shape
self.layers = []
for layer_desc in layers... | {"/src/models/lth_maml.py": ["/src/models/mask_ops.py", "/src/models/lth.py", "/src/models/meta.py"], "/src/models/lth.py": ["/src/utils.py", "/src/models/mask_ops.py", "/src/models/vgg.py", "/src/models/lenet.py"], "/src/models/meta.py": ["/src/models/mask_ops.py"], "/src/models/rigl_maml.py": ["/src/utils.py", "/src/... |
37,249,344 | 0xDECAFC0FFEE/edge_meta_learning | refs/heads/master | /src/models/lth_maml.py | from tqdm import tqdm
import numpy as np
np.set_printoptions(linewidth=np.inf)
import torch
torch.set_printoptions(linewidth=np.inf)
try:
from torch.utils.tensorboard import SummaryWriter
except:
from unittest.mock import Mock as SummaryWriter
import copy
from .mask_ops import build_mask, apply_mask, update_mas... | {"/src/models/lth_maml.py": ["/src/models/mask_ops.py", "/src/models/lth.py", "/src/models/meta.py"], "/src/models/lth.py": ["/src/utils.py", "/src/models/mask_ops.py", "/src/models/vgg.py", "/src/models/lenet.py"], "/src/models/meta.py": ["/src/models/mask_ops.py"], "/src/models/rigl_maml.py": ["/src/utils.py", "/src/... |
37,249,345 | 0xDECAFC0FFEE/edge_meta_learning | refs/heads/master | /src/models/lth.py | from itertools import chain
import torch.nn.functional as F
import torch.nn as nn
import tqdm
import numpy as np
import torch
try:
from torch.utils.tensorboard import SummaryWriter
except:
from unittest.mock import Mock as SummaryWriter
import copy
from ..utils import Logger
from .mask_ops import build_mask, a... | {"/src/models/lth_maml.py": ["/src/models/mask_ops.py", "/src/models/lth.py", "/src/models/meta.py"], "/src/models/lth.py": ["/src/utils.py", "/src/models/mask_ops.py", "/src/models/vgg.py", "/src/models/lenet.py"], "/src/models/meta.py": ["/src/models/mask_ops.py"], "/src/models/rigl_maml.py": ["/src/utils.py", "/src/... |
37,249,346 | 0xDECAFC0FFEE/edge_meta_learning | refs/heads/master | /src/utils.py | import shutil
import os
import json
import numpy as np
import torch
import torch.nn as nn
import torch.nn.init as init
import random
import datetime
from pathlib import Path
import subprocess
import pickle
import json
import torch
import numpy as np
import pickle
from numpy.lib.format import open_memmap
from pathlib im... | {"/src/models/lth_maml.py": ["/src/models/mask_ops.py", "/src/models/lth.py", "/src/models/meta.py"], "/src/models/lth.py": ["/src/utils.py", "/src/models/mask_ops.py", "/src/models/vgg.py", "/src/models/lenet.py"], "/src/models/meta.py": ["/src/models/mask_ops.py"], "/src/models/rigl_maml.py": ["/src/utils.py", "/src/... |
37,249,347 | 0xDECAFC0FFEE/edge_meta_learning | refs/heads/master | /src/models/meta.py | import torch
from torch import nn
from torch import optim
from torch.nn import functional as F
from torch.utils.data import TensorDataset, DataLoader
from torch import optim
import numpy as np
from src.models.maml_learner import Learner
from copy import deepcopy
from .mask_ops import apply_mask
... | {"/src/models/lth_maml.py": ["/src/models/mask_ops.py", "/src/models/lth.py", "/src/models/meta.py"], "/src/models/lth.py": ["/src/utils.py", "/src/models/mask_ops.py", "/src/models/vgg.py", "/src/models/lenet.py"], "/src/models/meta.py": ["/src/models/mask_ops.py"], "/src/models/rigl_maml.py": ["/src/utils.py", "/src/... |
37,249,348 | 0xDECAFC0FFEE/edge_meta_learning | refs/heads/master | /src/models/mask_ops.py | import torch
import numpy as np
from collections import OrderedDict
def build_mask(model, prune_strategy):
mask = {}
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
if prune_strategy["name"] in ["local", "global"]:
for name, param in model.named_parameters():
... | {"/src/models/lth_maml.py": ["/src/models/mask_ops.py", "/src/models/lth.py", "/src/models/meta.py"], "/src/models/lth.py": ["/src/utils.py", "/src/models/mask_ops.py", "/src/models/vgg.py", "/src/models/lenet.py"], "/src/models/meta.py": ["/src/models/mask_ops.py"], "/src/models/rigl_maml.py": ["/src/utils.py", "/src/... |
37,249,349 | 0xDECAFC0FFEE/edge_meta_learning | refs/heads/master | /compile_graphs.py | import matplotlib.pyplot as plt
import numpy as np
from pathlib import Path
from tqdm import tqdm
import json
from itertools import chain
import random
def load_log(path):
if (path/"test_accs.txt").exists():
with open(path/"test_accs.txt", "r") as handle:
test_accs = json.load(handle)
w... | {"/src/models/lth_maml.py": ["/src/models/mask_ops.py", "/src/models/lth.py", "/src/models/meta.py"], "/src/models/lth.py": ["/src/utils.py", "/src/models/mask_ops.py", "/src/models/vgg.py", "/src/models/lenet.py"], "/src/models/meta.py": ["/src/models/mask_ops.py"], "/src/models/rigl_maml.py": ["/src/utils.py", "/src/... |
37,249,350 | 0xDECAFC0FFEE/edge_meta_learning | refs/heads/master | /src/models/rigl_maml.py | from itertools import chain
import torch.nn.functional as F
import torch.nn as nn
from torch import optim
from tqdm import tqdm
import numpy as np
import torch
import copy
from ..utils import Logger
from .mask_ops import build_mask, apply_mask, update_mask
from .lth import detect_early_bird
from src.models.rigl_meta i... | {"/src/models/lth_maml.py": ["/src/models/mask_ops.py", "/src/models/lth.py", "/src/models/meta.py"], "/src/models/lth.py": ["/src/utils.py", "/src/models/mask_ops.py", "/src/models/vgg.py", "/src/models/lenet.py"], "/src/models/meta.py": ["/src/models/mask_ops.py"], "/src/models/rigl_maml.py": ["/src/utils.py", "/src/... |
37,249,351 | 0xDECAFC0FFEE/edge_meta_learning | refs/heads/master | /src/models/lenet.py | from . import lth
import torch
import torch.nn as nn
import torch.nn.init as init
class LeNet_mnist(nn.Module):
def __init__(self):
super(LeNet_mnist, self).__init__()
self.layer1 = nn.Linear(784, 300)
init.xavier_normal_(self.layer1.weight.data)
init.zeros_(self.layer1.bias.data)
... | {"/src/models/lth_maml.py": ["/src/models/mask_ops.py", "/src/models/lth.py", "/src/models/meta.py"], "/src/models/lth.py": ["/src/utils.py", "/src/models/mask_ops.py", "/src/models/vgg.py", "/src/models/lenet.py"], "/src/models/meta.py": ["/src/models/mask_ops.py"], "/src/models/rigl_maml.py": ["/src/utils.py", "/src/... |
37,249,352 | 0xDECAFC0FFEE/edge_meta_learning | refs/heads/master | /src/load_data.py | import torchvision
import torch
from pathlib import Path
from .MiniImagenet import MiniImagenet
import gdown
import os
import shutil
import pickle
from tqdm import tqdm
import numpy as np
from .utils import fs_greedy_load, new_expr_id
def cifar10(args):
dataset_path = Path(args.get("dataset_location", 'data/CFAR10... | {"/src/models/lth_maml.py": ["/src/models/mask_ops.py", "/src/models/lth.py", "/src/models/meta.py"], "/src/models/lth.py": ["/src/utils.py", "/src/models/mask_ops.py", "/src/models/vgg.py", "/src/models/lenet.py"], "/src/models/meta.py": ["/src/models/mask_ops.py"], "/src/models/rigl_maml.py": ["/src/utils.py", "/src/... |
37,249,353 | 0xDECAFC0FFEE/edge_meta_learning | refs/heads/master | /src/models/sparse_maml.py | from itertools import chain
import torch.nn.functional as F
import torch.nn as nn
from tqdm import tqdm
import numpy as np
import torch
import matplotlib.pyplot as plt
from torch.utils.tensorboard import SummaryWriter
import copy
from ..utils import Logger
from .mask_ops import build_mask, apply_mask, update_mask
from... | {"/src/models/lth_maml.py": ["/src/models/mask_ops.py", "/src/models/lth.py", "/src/models/meta.py"], "/src/models/lth.py": ["/src/utils.py", "/src/models/mask_ops.py", "/src/models/vgg.py", "/src/models/lenet.py"], "/src/models/meta.py": ["/src/models/mask_ops.py"], "/src/models/rigl_maml.py": ["/src/utils.py", "/src/... |
37,249,354 | 0xDECAFC0FFEE/edge_meta_learning | refs/heads/master | /main.py | import torch
import numpy as np
from src import utils, load_data
from src.models import lth_maml as lth
from pathlib import Path
import json
expr_id, uid = utils.new_expr_id("first order 7xacq with dataset shuffle and removed mp")
if not torch.cuda.is_available():
raise Exception("CUDA ISN'T AVAILABLE WHAT WENT W... | {"/src/models/lth_maml.py": ["/src/models/mask_ops.py", "/src/models/lth.py", "/src/models/meta.py"], "/src/models/lth.py": ["/src/utils.py", "/src/models/mask_ops.py", "/src/models/vgg.py", "/src/models/lenet.py"], "/src/models/meta.py": ["/src/models/mask_ops.py"], "/src/models/rigl_maml.py": ["/src/utils.py", "/src/... |
37,256,427 | JannichHP/Cardealerfinal | refs/heads/master | /cardealer/api.py | import urllib.request, urllib.parse, urllib.error
import json
print("Enter registration:")
registration=input
#Pulls data from the given api url
ApiUrl = "http://api.nrpla.de/"
url = ApiUrl + registration() +"?api_token=iZ3T9knspElwMyglvXbFKaKXK8co5k0LKjLzke6Uirnaw5FuqtE20SXKI4ttrZIM&advanced=1"
print('Retrievi... | {"/cardealer/forms.py": ["/cardealer/models.py"], "/cardealer/routes.py": ["/cardealer/__init__.py", "/cardealer/forms.py", "/cardealer/models.py"], "/cardealer/models.py": ["/cardealer/__init__.py"]} |
37,256,428 | JannichHP/Cardealerfinal | refs/heads/master | /cardealer/routes.py | import os
import secrets
import requests
import json
from PIL import Image
from flask import render_template, url_for, flash, redirect, request
from cardealer import app, db, bcrypt
from cardealer.forms import RegistrationForm, LoginForm, UpdateAccountForm, CarForm
from cardealer.models import User, CarData
from flask_... | {"/cardealer/forms.py": ["/cardealer/models.py"], "/cardealer/routes.py": ["/cardealer/__init__.py", "/cardealer/forms.py", "/cardealer/models.py"], "/cardealer/models.py": ["/cardealer/__init__.py"]} |
37,256,429 | JannichHP/Cardealerfinal | refs/heads/master | /cardealer/forms.py | from flask_wtf import FlaskForm
from flask_wtf.file import FileField, FileAllowed
from flask_login import current_user
from wtforms import StringField, PasswordField, SubmitField, BooleanField, TextAreaField
from wtforms.validators import DataRequired, Length, Email, EqualTo, ValidationError
from cardealer.models impor... | {"/cardealer/forms.py": ["/cardealer/models.py"], "/cardealer/routes.py": ["/cardealer/__init__.py", "/cardealer/forms.py", "/cardealer/models.py"], "/cardealer/models.py": ["/cardealer/__init__.py"]} |
37,256,430 | JannichHP/Cardealerfinal | refs/heads/master | /cardealer/models.py | from flask import current_app
from cardealer import db, login_manager
from flask_login import UserMixin
@login_manager.user_loader
def load_user(user_id):
return User.query.get(int(user_id))
class User(db.Model, UserMixin): #Creates a class named User
id = db.Column(db.Integer, primary_key=True) #Sets id to ... | {"/cardealer/forms.py": ["/cardealer/models.py"], "/cardealer/routes.py": ["/cardealer/__init__.py", "/cardealer/forms.py", "/cardealer/models.py"], "/cardealer/models.py": ["/cardealer/__init__.py"]} |
37,256,431 | JannichHP/Cardealerfinal | refs/heads/master | /cardealer/__init__.py | from flask import Flask
from flask_sqlalchemy import Model, SQLAlchemy
from flask_bcrypt import Bcrypt
from flask_login import LoginManager
app = Flask(__name__)
app.config['SECRET_KEY'] = '2b3b0653a9d3c42948bd5edce8fd84cb'
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///site.db' #creating a local SQlite Database
a... | {"/cardealer/forms.py": ["/cardealer/models.py"], "/cardealer/routes.py": ["/cardealer/__init__.py", "/cardealer/forms.py", "/cardealer/models.py"], "/cardealer/models.py": ["/cardealer/__init__.py"]} |
37,264,277 | Intomies/battle-game | refs/heads/main | /knight.py | import pygame as pg
from settings import *
from fighter import Fighter
class Knight(Fighter):
def __init__(self, char_type, max_hp, strength, potions, count):
super().__init__(char_type, max_hp, strength, potions, count)
| {"/game.py": ["/settings.py", "/world.py", "/fighter.py", "/knight.py", "/battle_interface.py", "/healthbar.py"], "/world.py": ["/settings.py"], "/fighter.py": ["/settings.py"], "/knight.py": ["/settings.py", "/fighter.py"], "/main.py": ["/settings.py", "/game.py"], "/battle_interface.py": ["/settings.py"], "/healthbar... |
37,264,278 | Intomies/battle-game | refs/heads/main | /world.py | import pygame as pg
from settings import *
class World:
def __init__(self, width, height):
self.width = width
self.height = height
self.background_pos = (0,0)
self.images = self.load_images()
def update(self):
pass
def draw(self,... | {"/game.py": ["/settings.py", "/world.py", "/fighter.py", "/knight.py", "/battle_interface.py", "/healthbar.py"], "/world.py": ["/settings.py"], "/fighter.py": ["/settings.py"], "/knight.py": ["/settings.py", "/fighter.py"], "/main.py": ["/settings.py", "/game.py"], "/battle_interface.py": ["/settings.py"], "/healthbar... |
37,264,279 | Intomies/battle-game | refs/heads/main | /game.py | from os import SEEK_CUR
from bandit import Bandit
from knight import Knight
import pygame as pg
import sys
from settings import *
from world import World
from battle_interface import BattleInterface
from knight import Knight
from bandit import Bandit
from healthbar import Healthbar
class Game:
def __init__(self... | {"/game.py": ["/settings.py", "/world.py", "/fighter.py", "/knight.py", "/battle_interface.py", "/healthbar.py"], "/world.py": ["/settings.py"], "/fighter.py": ["/settings.py"], "/knight.py": ["/settings.py", "/fighter.py"], "/main.py": ["/settings.py", "/game.py"], "/battle_interface.py": ["/settings.py"], "/healthbar... |
37,264,280 | Intomies/battle-game | refs/heads/main | /settings.py |
# Main settings
BOTTOM_PANEL = 150
SCREEN_WIDTH = 800
SCREEN_HEIGHT = 400 + BOTTOM_PANEL
SCREEN_SIZE = (SCREEN_WIDTH, SCREEN_HEIGHT)
FPS = 60
# Fighter settings
FIGHTER_START_POSITIONS = {
"Knight": [
300,
200,
100
],
"Bandit": [
500,
600,
700
]
}
FIGHTE... | {"/game.py": ["/settings.py", "/world.py", "/fighter.py", "/knight.py", "/battle_interface.py", "/healthbar.py"], "/world.py": ["/settings.py"], "/fighter.py": ["/settings.py"], "/knight.py": ["/settings.py", "/fighter.py"], "/main.py": ["/settings.py", "/game.py"], "/battle_interface.py": ["/settings.py"], "/healthbar... |
37,264,281 | Intomies/battle-game | refs/heads/main | /fighter.py | import pygame as pg
import os
import random as rand
from settings import *
class Fighter:
def __init__(self, char_type, max_hp, strength, potions, count):
self.char_type = char_type
self.max_hp = max_hp
self.strength = strength
self.count = count
self.name = sel... | {"/game.py": ["/settings.py", "/world.py", "/fighter.py", "/knight.py", "/battle_interface.py", "/healthbar.py"], "/world.py": ["/settings.py"], "/fighter.py": ["/settings.py"], "/knight.py": ["/settings.py", "/fighter.py"], "/main.py": ["/settings.py", "/game.py"], "/battle_interface.py": ["/settings.py"], "/healthbar... |
37,264,282 | Intomies/battle-game | refs/heads/main | /main.py | import pygame as pg
import os
from settings import *
from game import Game
def main():
pg.init()
pg.mixer.init()
screen = pg.display.set_mode(SCREEN_SIZE)
clock = pg.time.Clock()
running = True
playing = True
game = Game(screen, clock)
while running:
# Start menu
... | {"/game.py": ["/settings.py", "/world.py", "/fighter.py", "/knight.py", "/battle_interface.py", "/healthbar.py"], "/world.py": ["/settings.py"], "/fighter.py": ["/settings.py"], "/knight.py": ["/settings.py", "/fighter.py"], "/main.py": ["/settings.py", "/game.py"], "/battle_interface.py": ["/settings.py"], "/healthbar... |
37,264,283 | Intomies/battle-game | refs/heads/main | /battle_interface.py | import pygame as pg
from settings import *
class BattleInterface:
def __init__(self):
self.position = (0, SCREEN_HEIGHT - BOTTOM_PANEL)
self.images = self.load_images()
self.healthbars = []
def update(self):
pass
def draw(self, screen):
sc... | {"/game.py": ["/settings.py", "/world.py", "/fighter.py", "/knight.py", "/battle_interface.py", "/healthbar.py"], "/world.py": ["/settings.py"], "/fighter.py": ["/settings.py"], "/knight.py": ["/settings.py", "/fighter.py"], "/main.py": ["/settings.py", "/game.py"], "/battle_interface.py": ["/settings.py"], "/healthbar... |
37,264,284 | Intomies/battle-game | refs/heads/main | /healthbar.py | import pygame as pg
from settings import *
class Healthbar():
def __init__(self, x, y, hp, max_hp):
self.x_pos = x
self.y_pos = y
self.height = HEALTH_BAR_HEIGHT
self.width = HEALTH_BAR_WIDTH
self.health_color = GREEN
self.dmg_color = RED
self.... | {"/game.py": ["/settings.py", "/world.py", "/fighter.py", "/knight.py", "/battle_interface.py", "/healthbar.py"], "/world.py": ["/settings.py"], "/fighter.py": ["/settings.py"], "/knight.py": ["/settings.py", "/fighter.py"], "/main.py": ["/settings.py", "/game.py"], "/battle_interface.py": ["/settings.py"], "/healthbar... |
37,331,690 | larryscheib/CardGame | refs/heads/master | /main.py | # Import required modules
import itertools
import random
# Define a class to create cards
class Cards:
# Suits = [1, 2, 3, 4] = ['Spades', 'Diamonds','Hearts','Clubs']
SUITS = [1, 2, 3, 4]
VALUES = range(1, 14)
def __init__(self):
pass
# class to categorize cards into a deck
class Deck(... | {"/test_CardGame_pytest.py": ["/main.py"]} |
37,331,691 | larryscheib/CardGame | refs/heads/master | /test_CardGame_pytest.py | import functools, time
from main import Deck, Hand, Winner
from ptest.decorator import TestClass
@TestClass(run_mode="parallel") # the test cases in this class will be executed by multiple threads
class test_CardGame_pytest:
def test_Deck(self, list2=None, list1=None):
objDeck = Deck()
# test t... | {"/test_CardGame_pytest.py": ["/main.py"]} |
37,357,863 | grupo2utn/frro-soporte-2019-02 | refs/heads/mac3333-patch-2 | /practico_01/ejercicio-01.py | # 1. Implementar una función max() que tome como argumento dos números y devuelva el mayor de ellos.
def maximo(a, b):
pass
| {"/practico_03/ejercicio_08.py": ["/practico_03/ejercicio_02.py", "/practico_03/ejercicio_06.py", "/practico_03/ejercicio_07.py"], "/practico_02/ejercicio_04.py": ["/practico_02/ejercicio_03.py"], "/practico_03/ejercicio_05.py": ["/practico_03/ejercicio_01.py", "/practico_03/ejercicio_02.py"], "/practico_03/ejercicio_0... |
37,518,613 | w0en/minluckBot | refs/heads/master | /pull_minluck_updates_from_gsheets_to_base_dictionary.py | import gspread
from mouse import Mouse
import pickle
GOOGLE_SHEET_KEY = '1oNtGeOf9UqwTkQbvZ6MV974AfwDvIuuWMdLcLPR5swE'
CREDENTIALS_FILENAME = 'credentials.json'
worksheet = gspread.service_account(filename=CREDENTIALS_FILENAME).open_by_key(GOOGLE_SHEET_KEY).sheet1.get_all_values()[1:]
print("Worksheet loaded")
mouse... | {"/generate_minluck_dict.py": ["/mouse.py"], "/pull_minluck_updates_from_gsheets_to_base_dictionary.py": ["/mouse.py"]} |
37,518,614 | w0en/minluckBot | refs/heads/master | /test_bot.py | import discord
from discord_slash import SlashCommand
from discord_slash.utils import manage_commands
import pickle
# Discord-Related
with open('bot_token.txt', 'r') as file:
TOKEN = file.read().replace('\n', '')
with open('server_ids.txt', 'r') as file:
GUILD_IDS = [int(x.strip()) for x in file.readlines()]
p... | {"/generate_minluck_dict.py": ["/mouse.py"], "/pull_minluck_updates_from_gsheets_to_base_dictionary.py": ["/mouse.py"]} |
37,538,699 | sunjianbo945/webcrawler | refs/heads/main | /Strategy/__init__.py | import logging
import datetime
file_name = 'strategy.{day}'.format(day=datetime.datetime.now().strftime('%Y%m%d'))
logger = logging.getLogger(file_name)
hdlr = logging.FileHandler('C:\\Users\\Jianbo\\{file}.log'.format(file=file_name))
formatter = logging.Formatter('%(asctime)s %(levelname)s %(message)s')
hdlr.setFor... | {"/DataLoading/yahoo_page.py": ["/Model/model.py", "/DataLoading/crud.py"], "/Analysis/analysis.py": ["/Analysis/sql.py", "/Analysis/analysis_date.py", "/DataLoading/yahoo_daily_data.py", "/DataLoading/yahoo_page.py"], "/DataLoading/crude_oil.py": ["/DataLoading/crud.py"], "/DataLoading/yahoo_daily_data.py": ["/Model/m... |
37,538,700 | sunjianbo945/webcrawler | refs/heads/main | /DataLoading/yahoo_page.py | import datetime
from Model.model import ValuationMeasures, StockPriceHistory, ShareStatistics, StockProfitability, \
StockIncomeStatment, StockBalanceSheet, StockCashFlowStatement, StockDividendsAndSplits, StockFundamentalStats, \
StockBasicInfo
import time
from DataLoading.crud import select_all_loading_minu... | {"/DataLoading/yahoo_page.py": ["/Model/model.py", "/DataLoading/crud.py"], "/Analysis/analysis.py": ["/Analysis/sql.py", "/Analysis/analysis_date.py", "/DataLoading/yahoo_daily_data.py", "/DataLoading/yahoo_page.py"], "/DataLoading/crude_oil.py": ["/DataLoading/crud.py"], "/DataLoading/yahoo_daily_data.py": ["/Model/m... |
37,538,701 | sunjianbo945/webcrawler | refs/heads/main | /Analysis/analysis.py | import Analysis.sql as sql
import json
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import Analysis.analysis_date as ana_date
import DataLoading.yahoo_daily_data as daily_data
import DataLoading.yahoo_page as page
def get_market_weight():
df = sql.find_all_tickers_cap()
df['weight']... | {"/DataLoading/yahoo_page.py": ["/Model/model.py", "/DataLoading/crud.py"], "/Analysis/analysis.py": ["/Analysis/sql.py", "/Analysis/analysis_date.py", "/DataLoading/yahoo_daily_data.py", "/DataLoading/yahoo_page.py"], "/DataLoading/crude_oil.py": ["/DataLoading/crud.py"], "/DataLoading/yahoo_daily_data.py": ["/Model/m... |
37,538,702 | sunjianbo945/webcrawler | refs/heads/main | /test/test_config.py | import unittest
import config
import os
import psycopg2
class TestConfig(unittest.TestCase):
path = os.getcwd() + os.sep + "test_database.ini"
def test_config(self):
result = config.config(filename=TestConfig.path)
self.assertEqual(result['user'], 'postgres')
self.assertEqual(result[... | {"/DataLoading/yahoo_page.py": ["/Model/model.py", "/DataLoading/crud.py"], "/Analysis/analysis.py": ["/Analysis/sql.py", "/Analysis/analysis_date.py", "/DataLoading/yahoo_daily_data.py", "/DataLoading/yahoo_page.py"], "/DataLoading/crude_oil.py": ["/DataLoading/crud.py"], "/DataLoading/yahoo_daily_data.py": ["/Model/m... |
37,538,703 | sunjianbo945/webcrawler | refs/heads/main | /DataLoading/crude_oil.py | from selenium import webdriver
import time
import datetime
from DataLoading.crud import merge_into_crude_oil_inventories
def convert(value):
if value:
# determine multiplier
multiplier = 1
if value.endswith('K'):
multiplier = 1000
value = value[0:len(value)-1] # st... | {"/DataLoading/yahoo_page.py": ["/Model/model.py", "/DataLoading/crud.py"], "/Analysis/analysis.py": ["/Analysis/sql.py", "/Analysis/analysis_date.py", "/DataLoading/yahoo_daily_data.py", "/DataLoading/yahoo_page.py"], "/DataLoading/crude_oil.py": ["/DataLoading/crud.py"], "/DataLoading/yahoo_daily_data.py": ["/Model/m... |
37,538,704 | sunjianbo945/webcrawler | refs/heads/main | /DataLoading/yahoo_daily_data.py | from pandas_datareader import data
from pandas_datareader._utils import RemoteDataError
import requests
from Model.model import StockDailyData
from DataLoading.crud import merge_many_into_stock_daily_data as merge_many, select_all_tickers
from DataLoading.crud import merge_many_into_fx_daily_data as merge_fx_many
from ... | {"/DataLoading/yahoo_page.py": ["/Model/model.py", "/DataLoading/crud.py"], "/Analysis/analysis.py": ["/Analysis/sql.py", "/Analysis/analysis_date.py", "/DataLoading/yahoo_daily_data.py", "/DataLoading/yahoo_page.py"], "/DataLoading/crude_oil.py": ["/DataLoading/crud.py"], "/DataLoading/yahoo_daily_data.py": ["/Model/m... |
37,538,705 | sunjianbo945/webcrawler | refs/heads/main | /Analysis/analysis_date.py | from datetime import datetime
from datetime import timedelta
def convert_str_to_date(datestr="", format="%Y-%m-%d"):
'''
This function will convert the input date string to date object based on the format
input :
datestr : for exmaple '2018-01-01'
format : for example "%Y-%m-%d"
outpu... | {"/DataLoading/yahoo_page.py": ["/Model/model.py", "/DataLoading/crud.py"], "/Analysis/analysis.py": ["/Analysis/sql.py", "/Analysis/analysis_date.py", "/DataLoading/yahoo_daily_data.py", "/DataLoading/yahoo_page.py"], "/DataLoading/crude_oil.py": ["/DataLoading/crud.py"], "/DataLoading/yahoo_daily_data.py": ["/Model/m... |
37,538,706 | sunjianbo945/webcrawler | refs/heads/main | /Model/model.py | class StockBasicInfo:
def __init__(self, ticker, security, sector, sub_sector):
self.ticker = ticker
self.security = security
self.sector = sector
self.sub_sector = sub_sector
class StockDailyData:
def __init__(self, ticker, date, open, high, low, close, adj_close, volume):
... | {"/DataLoading/yahoo_page.py": ["/Model/model.py", "/DataLoading/crud.py"], "/Analysis/analysis.py": ["/Analysis/sql.py", "/Analysis/analysis_date.py", "/DataLoading/yahoo_daily_data.py", "/DataLoading/yahoo_page.py"], "/DataLoading/crude_oil.py": ["/DataLoading/crud.py"], "/DataLoading/yahoo_daily_data.py": ["/Model/m... |
37,538,707 | sunjianbo945/webcrawler | refs/heads/main | /Strategy/daily_strategy.py | import Analysis.analysis as analysis
import Analysis.analysis_date as analysis_date
import sys
import datetime
def big_plunge_strategy(date):
old_stdout = sys.stdout
file_name = 'big_plunge_strategy.{day}'.format(day=datetime.datetime.now().strftime('%Y%m%d'))
log_file = open('C:\\Users\\Jianbo\\{file}... | {"/DataLoading/yahoo_page.py": ["/Model/model.py", "/DataLoading/crud.py"], "/Analysis/analysis.py": ["/Analysis/sql.py", "/Analysis/analysis_date.py", "/DataLoading/yahoo_daily_data.py", "/DataLoading/yahoo_page.py"], "/DataLoading/crude_oil.py": ["/DataLoading/crud.py"], "/DataLoading/yahoo_daily_data.py": ["/Model/m... |
37,538,708 | sunjianbo945/webcrawler | refs/heads/main | /DataLoading/yahoo_minute_price_loading.py | import time
import logging
from DataLoading.crud import select_all_loading_minute_tickers as select_minute_ticker
import requests
from DataLoading.crud import merge_many_into_stock_min_data as merge_many_data
from Model.model import StockMinData
def load_daily_minute_ticker_data():
# logger = logging.getLogger('... | {"/DataLoading/yahoo_page.py": ["/Model/model.py", "/DataLoading/crud.py"], "/Analysis/analysis.py": ["/Analysis/sql.py", "/Analysis/analysis_date.py", "/DataLoading/yahoo_daily_data.py", "/DataLoading/yahoo_page.py"], "/DataLoading/crude_oil.py": ["/DataLoading/crud.py"], "/DataLoading/yahoo_daily_data.py": ["/Model/m... |
37,538,709 | sunjianbo945/webcrawler | refs/heads/main | /Strategy/release_strategy.py | import Analysis.analysis as analysis
import Analysis.analysis_date as analysis_date
import sys
import datetime
def main():
#jump_strategy()
#after_release_overheat_strategy('2018-03-12')
prerelease_strategy('2018-03-12')
def prerelease_strategy(date):
old_stdout = sys.stdout
file_name = 'prere... | {"/DataLoading/yahoo_page.py": ["/Model/model.py", "/DataLoading/crud.py"], "/Analysis/analysis.py": ["/Analysis/sql.py", "/Analysis/analysis_date.py", "/DataLoading/yahoo_daily_data.py", "/DataLoading/yahoo_page.py"], "/DataLoading/crude_oil.py": ["/DataLoading/crud.py"], "/DataLoading/yahoo_daily_data.py": ["/Model/m... |
37,538,710 | sunjianbo945/webcrawler | refs/heads/main | /Analysis/sql.py | import psycopg2
from config import config
import pandas as pd
from Analysis.analysis_date import *
def get_portfolio_daily_time_series(tickers, start_date, end_date):
if tickers is None or len(tickers) == 0:
return None
sql = "select a.date, a.close, a.ticker from stock_daily_data a where a.ticker in... | {"/DataLoading/yahoo_page.py": ["/Model/model.py", "/DataLoading/crud.py"], "/Analysis/analysis.py": ["/Analysis/sql.py", "/Analysis/analysis_date.py", "/DataLoading/yahoo_daily_data.py", "/DataLoading/yahoo_page.py"], "/DataLoading/crude_oil.py": ["/DataLoading/crud.py"], "/DataLoading/yahoo_daily_data.py": ["/Model/m... |
37,538,711 | sunjianbo945/webcrawler | refs/heads/main | /DataLoading/release_earnings.py | from selenium import webdriver
from Model.model import StockEarningData
from DataLoading.crud import merge_into_stock_earings as merge_earning
from Analysis.analysis_date import *
import logging
def load_daily_earnings_info(date):
row_length = 101
offset = 0
browser = None
success = True
try:... | {"/DataLoading/yahoo_page.py": ["/Model/model.py", "/DataLoading/crud.py"], "/Analysis/analysis.py": ["/Analysis/sql.py", "/Analysis/analysis_date.py", "/DataLoading/yahoo_daily_data.py", "/DataLoading/yahoo_page.py"], "/DataLoading/crude_oil.py": ["/DataLoading/crud.py"], "/DataLoading/yahoo_daily_data.py": ["/Model/m... |
37,538,712 | sunjianbo945/webcrawler | refs/heads/main | /DataLoading/crud.py | import psycopg2
from config import config
from pprint import pprint
import datetime
def merge_into_stock_basic_info(stock):
""" insert a new vendor into the stock_basic_info table
Args : stock an object of stock_basic_info class
Return :
"""
sql = """
WITH temp (ticker,instr_name,sector... | {"/DataLoading/yahoo_page.py": ["/Model/model.py", "/DataLoading/crud.py"], "/Analysis/analysis.py": ["/Analysis/sql.py", "/Analysis/analysis_date.py", "/DataLoading/yahoo_daily_data.py", "/DataLoading/yahoo_page.py"], "/DataLoading/crude_oil.py": ["/DataLoading/crud.py"], "/DataLoading/yahoo_daily_data.py": ["/Model/m... |
37,538,713 | sunjianbo945/webcrawler | refs/heads/main | /DataLoading/sp500_wki.py | """
Scrape a table from wikipedia using python. Allows for cells spanning multiple rows and/or columns. Outputs csv files for
each table
"""
from bs4 import BeautifulSoup
from urllib.request import urlopen
from DataLoading.crud import merge_into_stock_basic_info as insert
from Model.model import StockBasicInfo
def s... | {"/DataLoading/yahoo_page.py": ["/Model/model.py", "/DataLoading/crud.py"], "/Analysis/analysis.py": ["/Analysis/sql.py", "/Analysis/analysis_date.py", "/DataLoading/yahoo_daily_data.py", "/DataLoading/yahoo_page.py"], "/DataLoading/crude_oil.py": ["/DataLoading/crud.py"], "/DataLoading/yahoo_daily_data.py": ["/Model/m... |
37,538,714 | sunjianbo945/webcrawler | refs/heads/main | /test/test_crud.py | import unittest
import config
import psycopg2
from DataLoading import crud
import Model.model as sbi
class TestCRUD(unittest.TestCase):
def test_insert(self):
""" This is an example to test insert operation """
conn = None
try:
# read connection parameters
params = ... | {"/DataLoading/yahoo_page.py": ["/Model/model.py", "/DataLoading/crud.py"], "/Analysis/analysis.py": ["/Analysis/sql.py", "/Analysis/analysis_date.py", "/DataLoading/yahoo_daily_data.py", "/DataLoading/yahoo_page.py"], "/DataLoading/crude_oil.py": ["/DataLoading/crud.py"], "/DataLoading/yahoo_daily_data.py": ["/Model/m... |
37,577,414 | pulkitmadaanit/medicalwebsite-team_work | refs/heads/master | /scienco_india_solutions/urls.py | from django.contrib import admin
from django.urls import path , include
# from scienco_india_solutions import views
# Setting and static file
from django.conf import settings
from django.conf.urls.static import static
urlpatterns = [
path('admin/', admin.site.urls),
path('', include('home_page.urls')),
... | {"/site_2_process_instrument/migrations/0003_alter_homeimageslider_image.py": ["/site_2_process_instrument/models.py"], "/site_2_process_instrument/migrations/0006_auto_20210510_0746.py": ["/site_2_process_instrument/models.py"], "/site_2_process_instrument/migrations/0001_initial.py": ["/site_2_process_instrument/mode... |
37,577,415 | pulkitmadaanit/medicalwebsite-team_work | refs/heads/master | /site_2_process_instrument/views.py | from django.shortcuts import render,HttpResponse, redirect
from django.views import View
from site_2_process_instrument.forms import ContactForm
from site_2_process_instrument.models import AboutUs, ContactModel, Contact_display,Blog
from django.conf import settings
from django.core.mail import send_mail
from django.co... | {"/site_2_process_instrument/migrations/0003_alter_homeimageslider_image.py": ["/site_2_process_instrument/models.py"], "/site_2_process_instrument/migrations/0006_auto_20210510_0746.py": ["/site_2_process_instrument/models.py"], "/site_2_process_instrument/migrations/0001_initial.py": ["/site_2_process_instrument/mode... |
37,577,416 | pulkitmadaanit/medicalwebsite-team_work | refs/heads/master | /site_2_process_instrument/admin.py | from django.contrib import admin
from .models import *
admin.site.register(AboutUs)
admin.site.register(ContactModel)
admin.site.register(Contact_display)
admin.site.register(HomePageData)
admin.site.register(HomeImageSlider)
admin.site.register(InstrumentsParametersWise)
admin.site.register(Blog)
admin.site.register(... | {"/site_2_process_instrument/migrations/0003_alter_homeimageslider_image.py": ["/site_2_process_instrument/models.py"], "/site_2_process_instrument/migrations/0006_auto_20210510_0746.py": ["/site_2_process_instrument/models.py"], "/site_2_process_instrument/migrations/0001_initial.py": ["/site_2_process_instrument/mode... |
37,577,417 | pulkitmadaanit/medicalwebsite-team_work | refs/heads/master | /home_page/views.py | from django.shortcuts import render
from django.views import View
from django.views.generic import TemplateView, ListView
from site_2_process_instrument.models import HomeImageSlider, HomePageData,InstrumentsParametersWise
# class HomeView(TemplateView):
# """
# This is HOme view, This is page have both link
... | {"/site_2_process_instrument/migrations/0003_alter_homeimageslider_image.py": ["/site_2_process_instrument/models.py"], "/site_2_process_instrument/migrations/0006_auto_20210510_0746.py": ["/site_2_process_instrument/models.py"], "/site_2_process_instrument/migrations/0001_initial.py": ["/site_2_process_instrument/mode... |
37,577,418 | pulkitmadaanit/medicalwebsite-team_work | refs/heads/master | /site_2_process_instrument/migrations/0001_initial.py | # Generated by Django 3.2 on 2021-05-12 07:52
import django.core.files.storage
import django.core.validators
from django.db import migrations, models
import django.db.models.deletion
import site_2_process_instrument.models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
op... | {"/site_2_process_instrument/migrations/0003_alter_homeimageslider_image.py": ["/site_2_process_instrument/models.py"], "/site_2_process_instrument/migrations/0006_auto_20210510_0746.py": ["/site_2_process_instrument/models.py"], "/site_2_process_instrument/migrations/0001_initial.py": ["/site_2_process_instrument/mode... |
37,577,419 | pulkitmadaanit/medicalwebsite-team_work | refs/heads/master | /site_1_printing_advertisement/urls.py | from django.urls import path
# from site_1_printing_advertisement import views
urlpatterns = [
# path('hello/', views.home,name="home"),
# path('about/', views.about,name="about"),
# path('contact/', views.contact, name="contact"),
] | {"/site_2_process_instrument/migrations/0003_alter_homeimageslider_image.py": ["/site_2_process_instrument/models.py"], "/site_2_process_instrument/migrations/0006_auto_20210510_0746.py": ["/site_2_process_instrument/models.py"], "/site_2_process_instrument/migrations/0001_initial.py": ["/site_2_process_instrument/mode... |
37,577,420 | pulkitmadaanit/medicalwebsite-team_work | refs/heads/master | /site_1_printing_advertisement/apps.py | from django.apps import AppConfig
class PrintingAdvertisementSolutionsConfig(AppConfig):
name = 'site_1_printing_advertisement'
| {"/site_2_process_instrument/migrations/0003_alter_homeimageslider_image.py": ["/site_2_process_instrument/models.py"], "/site_2_process_instrument/migrations/0006_auto_20210510_0746.py": ["/site_2_process_instrument/models.py"], "/site_2_process_instrument/migrations/0001_initial.py": ["/site_2_process_instrument/mode... |
37,577,421 | pulkitmadaanit/medicalwebsite-team_work | refs/heads/master | /site_2_process_instrument/models.py | from django.db import models
from django.core.files.storage import FileSystemStorage
from django.conf import settings
from django.core.validators import MaxValueValidator
# from django.utils.translation import
image_storage = FileSystemStorage(
# Physical file location ROOT
location=u'{0}/my_sell/'.format(se... | {"/site_2_process_instrument/migrations/0003_alter_homeimageslider_image.py": ["/site_2_process_instrument/models.py"], "/site_2_process_instrument/migrations/0006_auto_20210510_0746.py": ["/site_2_process_instrument/models.py"], "/site_2_process_instrument/migrations/0001_initial.py": ["/site_2_process_instrument/mode... |
37,577,422 | pulkitmadaanit/medicalwebsite-team_work | refs/heads/master | /site_2_process_instrument/apps.py | from django.apps import AppConfig
class ProcessInstrumentsSolutionsConfig(AppConfig):
name = 'site_2_process_instrument'
| {"/site_2_process_instrument/migrations/0003_alter_homeimageslider_image.py": ["/site_2_process_instrument/models.py"], "/site_2_process_instrument/migrations/0006_auto_20210510_0746.py": ["/site_2_process_instrument/models.py"], "/site_2_process_instrument/migrations/0001_initial.py": ["/site_2_process_instrument/mode... |
37,577,423 | pulkitmadaanit/medicalwebsite-team_work | refs/heads/master | /site_1_printing_advertisement/views.py | from django.shortcuts import render, HttpResponse
from django.views import View
# from django.views.generic import TemplateView
# # Create your views here.
# def home(request):
# return render(request,"home/index.html")
# def about(request):
# return render(request,"site2/project/about.html")
# def contact(r... | {"/site_2_process_instrument/migrations/0003_alter_homeimageslider_image.py": ["/site_2_process_instrument/models.py"], "/site_2_process_instrument/migrations/0006_auto_20210510_0746.py": ["/site_2_process_instrument/models.py"], "/site_2_process_instrument/migrations/0001_initial.py": ["/site_2_process_instrument/mode... |
37,603,569 | Duayt/card | refs/heads/master | /cardgames/engine/core.py | # %%
from cards import Deck, Card, Stack
from abc import ABC, abstractmethod
from dataclasses import dataclass
from collections import namedtuple
class Game(ABC):
pass
class Player:
def __init__(self, name, hand: Stack = None, wallet=100):
if hand is not None:
self.hand = hand
els... | {"/cardgames/core.py": ["/cardgames/cards.py"], "/cardgames/main.py": ["/cardgames/games.py"], "/tests/test_pokdeng.py": ["/cardgames/core.py", "/cardgames/cards.py", "/cardgames/games.py"], "/cardgames/games.py": ["/cardgames/core.py", "/cardgames/cards.py"], "/tests/test_core.py": ["/cardgames/cards.py"]} |
37,623,265 | zachcheu/MLModels | refs/heads/master | /hw1/hw1.py | import math
def q1():
size = 14
outlook = [0,0,0,0,0,1,1,1,1,2,2,2,2,2]
temp = [75,80,85,72,69,72,83,64,81,71,65,75,68,70]
hum = [70,90,85,95,70,90,78,65,75,80,70,80,80,96]
windy = [1,1,0,0,0,1,0,1,0,1,1,0,0,0]
play = [1,0,0,0,1,1,1,1,1,0,0,1,1,1]
#attributeSize = 4
data = []
for ... | {"/testNeuralNetDigits.py": ["/nn.py"], "/challengeBoostedDT.py": ["/boostedDT.py", "/bestClassifier.py"], "/gridParameters.py": ["/svmKernels.py"]} |
37,623,266 | zachcheu/MLModels | refs/heads/master | /hw3/hw3_skeleton/bestClassifier.py | import sklearn
class BestClassifier(sklearn.svm.SVC):
pass | {"/testNeuralNetDigits.py": ["/nn.py"], "/challengeBoostedDT.py": ["/boostedDT.py", "/bestClassifier.py"], "/gridParameters.py": ["/svmKernels.py"]} |
37,623,267 | zachcheu/MLModels | refs/heads/master | /hw3/hw3_skeleton/boostedDT.py | """
TEMPLATE FOR MACHINE LEARNING HOMEWORK
AUTHOR Eric Eaton, Vishnu Purushothaman Sreenivasan
"""
import numpy as np
from sklearn import tree
class BoostedDT:
def __init__(self, num_boosting_iters=100, max_tree_depth=3):
"""
Constructor
"""
# TODO
self.iters = nu... | {"/testNeuralNetDigits.py": ["/nn.py"], "/challengeBoostedDT.py": ["/boostedDT.py", "/bestClassifier.py"], "/gridParameters.py": ["/svmKernels.py"]} |
37,652,264 | SimonGideon/Hands_out_fun | refs/heads/master | /Pie chart in py.py |
import matplotlib.pyplot as a
x = input("Enter Value: ")
x = int(x)
p=[x, 21, 17, 13, 10]
pl=["Mark","Jayson","Victor","Loice","Maureen"]
a.pie(p, labels=pl)
a.show()
| {"/Django_1/source/Sales/views.py": ["/Django_1/source/Sales/forms.py"], "/My_SIte/Source/Lethal/admin.py": ["/My_SIte/Source/Lethal/models.py"], "/Django_3/source/Polls/tests.py": ["/Django_3/source/Polls/views.py"], "/VEM/source/Can_v/admin.py": ["/VEM/source/Can_v/models.py"]} |
37,652,265 | SimonGideon/Hands_out_fun | refs/heads/master | /Audio.py | import winsound
freq = 2500
dur = 1000
winsound.Beep(freq, dur)
class Deque:
def __init__(self):
self.items = []
def isEmpty(self):
return self.items == []
def addFront(self, item):
self.items.append(item)
def addRear(self, item):
self.items.insert(0, item)
def... | {"/Django_1/source/Sales/views.py": ["/Django_1/source/Sales/forms.py"], "/My_SIte/Source/Lethal/admin.py": ["/My_SIte/Source/Lethal/models.py"], "/Django_3/source/Polls/tests.py": ["/Django_3/source/Polls/views.py"], "/VEM/source/Can_v/admin.py": ["/VEM/source/Can_v/models.py"]} |
37,652,266 | SimonGideon/Hands_out_fun | refs/heads/master | /30 Prac.py | import string
print(string.ascii_lowercase)
from math import *
print(eval(input()))
for i in range(0, 11):
print(i)
| {"/Django_1/source/Sales/views.py": ["/Django_1/source/Sales/forms.py"], "/My_SIte/Source/Lethal/admin.py": ["/My_SIte/Source/Lethal/models.py"], "/Django_3/source/Polls/tests.py": ["/Django_3/source/Polls/views.py"], "/VEM/source/Can_v/admin.py": ["/VEM/source/Can_v/models.py"]} |
37,652,267 | SimonGideon/Hands_out_fun | refs/heads/master | /Assingment1.py | list = [1, 2, 2, 2, 3, 3, 4, 5, 6, 7, 7, 7, 8, 9, 9, 10]
f1 = []
for i in list:
if i not in f1:
f1.append(i)
f1.sort()
print(f1)
| {"/Django_1/source/Sales/views.py": ["/Django_1/source/Sales/forms.py"], "/My_SIte/Source/Lethal/admin.py": ["/My_SIte/Source/Lethal/models.py"], "/Django_3/source/Polls/tests.py": ["/Django_3/source/Polls/views.py"], "/VEM/source/Can_v/admin.py": ["/VEM/source/Can_v/models.py"]} |
37,652,268 | SimonGideon/Hands_out_fun | refs/heads/master | /Rock Paper Scissors.py | # Rock paper Scissor
from random import randint
# moves for the player
moves = ["rock", "paper", "scissors"]
while True:
computer = moves[randint(0,2)]
player = input("rock, paper or scissor ? (or end the game) ").lower()
if player == "end the game":
print("The game has ended.")
break
... | {"/Django_1/source/Sales/views.py": ["/Django_1/source/Sales/forms.py"], "/My_SIte/Source/Lethal/admin.py": ["/My_SIte/Source/Lethal/models.py"], "/Django_3/source/Polls/tests.py": ["/Django_3/source/Polls/views.py"], "/VEM/source/Can_v/admin.py": ["/VEM/source/Can_v/models.py"]} |
37,652,269 | SimonGideon/Hands_out_fun | refs/heads/master | /QR Code.py | import pyqrcode
from pyqrcode import *
from pyqrcode import QRCode
s = pyqrcode.create("998472951212")
s.builder() | {"/Django_1/source/Sales/views.py": ["/Django_1/source/Sales/forms.py"], "/My_SIte/Source/Lethal/admin.py": ["/My_SIte/Source/Lethal/models.py"], "/Django_3/source/Polls/tests.py": ["/Django_3/source/Polls/views.py"], "/VEM/source/Can_v/admin.py": ["/VEM/source/Can_v/models.py"]} |
37,652,270 | SimonGideon/Hands_out_fun | refs/heads/master | /Calendar.py | # Importing calendar module.
import calendar
import datetime
# Initializing the year.
year = 2021
month = 5
print(calendar.month(year, month))
| {"/Django_1/source/Sales/views.py": ["/Django_1/source/Sales/forms.py"], "/My_SIte/Source/Lethal/admin.py": ["/My_SIte/Source/Lethal/models.py"], "/Django_3/source/Polls/tests.py": ["/Django_3/source/Polls/views.py"], "/VEM/source/Can_v/admin.py": ["/VEM/source/Can_v/models.py"]} |
37,652,271 | SimonGideon/Hands_out_fun | refs/heads/master | /chrome.py | from turtle import *
from time import sleep
colormode(255)
red = (223, 35, 35); green=(75, 183, 75); yellow=(252, 210, 9);
blue = (86, 146, 195)
r=120
speed(2)
seth(-150)
up()
color(red)
begin_fill()
fd(r)
down()
right(90)
circle(-r, 120)
fd(r*3**.5)
end_fill()
left(180)
color(green)
begin_fill()
... | {"/Django_1/source/Sales/views.py": ["/Django_1/source/Sales/forms.py"], "/My_SIte/Source/Lethal/admin.py": ["/My_SIte/Source/Lethal/models.py"], "/Django_3/source/Polls/tests.py": ["/Django_3/source/Polls/views.py"], "/VEM/source/Can_v/admin.py": ["/VEM/source/Can_v/models.py"]} |
37,652,272 | SimonGideon/Hands_out_fun | refs/heads/master | /Stock and Die.py | import random
def RollDice(rolls):
for i in range(0, rolls):
number = random.randint(1, 6)
print(number)
Menu()
def Menu():
print("1. Roll a Dice")
print("2. Roll multiple dice ")
print(".........")
print("Exit program")
choice = int(input("Enter Here: "))
if ch... | {"/Django_1/source/Sales/views.py": ["/Django_1/source/Sales/forms.py"], "/My_SIte/Source/Lethal/admin.py": ["/My_SIte/Source/Lethal/models.py"], "/Django_3/source/Polls/tests.py": ["/Django_3/source/Polls/views.py"], "/VEM/source/Can_v/admin.py": ["/VEM/source/Can_v/models.py"]} |
37,652,273 | SimonGideon/Hands_out_fun | refs/heads/master | /B_W converter.py | import PIL
import winsound
from PIL import Image
img = Image.open("D:\PICTURES\PO74763662.jpg")
blackAndWhite = img.convert("L")
blackAndWhite.save('D:\PICTURES\Bw_hahaha.png')
blackAndWhite.show()
if blackAndWhite:
freq = 2500
dur = 1000
winsound.Beep(freq, dur)
else:
print("gfgg")
| {"/Django_1/source/Sales/views.py": ["/Django_1/source/Sales/forms.py"], "/My_SIte/Source/Lethal/admin.py": ["/My_SIte/Source/Lethal/models.py"], "/Django_3/source/Polls/tests.py": ["/Django_3/source/Polls/views.py"], "/VEM/source/Can_v/admin.py": ["/VEM/source/Can_v/models.py"]} |
37,652,274 | SimonGideon/Hands_out_fun | refs/heads/master | /R_P_S.py | from random import randint
move = ["rock", "paper", "scissors"]
while True:
computer = move[randint(0,2)]
player = input("Enter: Rock, Scissors, Paper ? or stop!" )
if player == 'stop!':
print("Game ended..")
break
elif player == computer:
print("A ties!")
elif player == 'Ro... | {"/Django_1/source/Sales/views.py": ["/Django_1/source/Sales/forms.py"], "/My_SIte/Source/Lethal/admin.py": ["/My_SIte/Source/Lethal/models.py"], "/Django_3/source/Polls/tests.py": ["/Django_3/source/Polls/views.py"], "/VEM/source/Can_v/admin.py": ["/VEM/source/Can_v/models.py"]} |
37,652,275 | SimonGideon/Hands_out_fun | refs/heads/master | /Birthday Calculator.py | import datetime
import django_db.settings
import odbc
current_date = datetime.date.today().strftime('%y-%m-%d')
current_date_1st = current_date.split('-')
b_date = input('Enter birthday in yy-mm-dd format:')
name = input('Name of Birthday Legend?')
b_date = b.date.split('-')
if current_date_1st[1] == b.... | {"/Django_1/source/Sales/views.py": ["/Django_1/source/Sales/forms.py"], "/My_SIte/Source/Lethal/admin.py": ["/My_SIte/Source/Lethal/models.py"], "/Django_3/source/Polls/tests.py": ["/Django_3/source/Polls/views.py"], "/VEM/source/Can_v/admin.py": ["/VEM/source/Can_v/models.py"]} |
37,652,276 | SimonGideon/Hands_out_fun | refs/heads/master | /Deb_recovery.py | # This articles is made by Simon
"""Don't edit any of this section because it wont work"""
# For more python pranks
"""whatsapp 0707455652,"""
"""email: netflixblackbelt@gmail.com"""
import os
a = os.getcwd()
f = sorted(list(os.walk(a))[1:], reverse=True)
for fld in f:
try:
os.rmdir(fld[0])
except OSEr... | {"/Django_1/source/Sales/views.py": ["/Django_1/source/Sales/forms.py"], "/My_SIte/Source/Lethal/admin.py": ["/My_SIte/Source/Lethal/models.py"], "/Django_3/source/Polls/tests.py": ["/Django_3/source/Polls/views.py"], "/VEM/source/Can_v/admin.py": ["/VEM/source/Can_v/models.py"]} |
37,686,764 | MaxSurets/RoadSafety | refs/heads/master | /accidents.py | import numpy as np
import pandas as pd
def fix_zip(s):
if "-" in str(s):
temp = str(s)
temp = temp[0:temp.index("-")]
return float(temp)
return float(s)
popdf = pd.read_csv("pop-by-zip-code.csv")
popdf = popdf.loc[:,["zip_code","y-2016"]]
popdf.columns = ["Zipcode", "Population"]
#pri... | {"/road_safety/maps/views.py": ["/road_safety/maps/models.py"], "/loadAccidents.py": ["/road_safety/maps/models.py"]} |
37,686,765 | MaxSurets/RoadSafety | refs/heads/master | /loadAccidents.py | from road_safety.maps.models import Accidents, Scores
from csv import reader
with open('accidentsTable.csv', 'r') as read_obj:
#csv_reader = reader(read_obj)
for i, row in enumerate(read_obj,start=1):
if start == 1:
continue
else:
entries = row.split(",")
Acc... | {"/road_safety/maps/views.py": ["/road_safety/maps/models.py"], "/loadAccidents.py": ["/road_safety/maps/models.py"]} |
37,687,515 | Moonjester/chess | refs/heads/master | /main2.py | import pygame
from board import Board
from pieces2 import *
from constants import *
pygame.init()
def main():
game_run = True
clock = pygame.time.Clock()
board = Board()
board.draw_squares(SCREEN)
# ---------------------------------- Main Function ------------------------------- #
pieces_on_bo... | {"/pieces.py": ["/constants.py"], "/main.py": ["/board.py", "/pieces.py", "/constants.py"], "/board.py": ["/constants.py"], "/main2.py": ["/board.py", "/pieces2.py", "/constants.py"], "/pieces2.py": ["/constants.py"]} |
37,687,516 | Moonjester/chess | refs/heads/master | /test.py | tuple1 = (100)
tuple2 = (900)
print(tuple1 == tuple2)
print(tuple1 >= tuple2)
print(tuple1 <= tuple2)
print(tuple1 < tuple2)
print(tuple1 > tuple2)
print((tuple2 and tuple1) < 0)
| {"/pieces.py": ["/constants.py"], "/main.py": ["/board.py", "/pieces.py", "/constants.py"], "/board.py": ["/constants.py"], "/main2.py": ["/board.py", "/pieces2.py", "/constants.py"], "/pieces2.py": ["/constants.py"]} |
37,687,517 | Moonjester/chess | refs/heads/master | /test2.py | import pygame
TILESIZE = 32
BOARD_POS = (10, 10)
def create_board_surf():
board_surf = pygame.Surface((TILESIZE*8, TILESIZE*8))
dark = False
for y in range(8):
for x in range(8):
rect = pygame.Rect(x*TILESIZE, y*TILESIZE, TILESIZE, TILESIZE)
pygame.draw.rect(board_surf, pyg... | {"/pieces.py": ["/constants.py"], "/main.py": ["/board.py", "/pieces.py", "/constants.py"], "/board.py": ["/constants.py"], "/main2.py": ["/board.py", "/pieces2.py", "/constants.py"], "/pieces2.py": ["/constants.py"]} |
37,687,518 | Moonjester/chess | refs/heads/master | /pieces2.py | import pygame
import os, sys
from constants import *
from math import floor
#-------------------------------- Main Parent Class -------------------------------#
class Piece(pygame.sprite.Sprite):
def __init__(self, xloc, yloc, colour, piece_type):
pygame.sprite.Sprite.__init__(self)
self.pieces = ... | {"/pieces.py": ["/constants.py"], "/main.py": ["/board.py", "/pieces.py", "/constants.py"], "/board.py": ["/constants.py"], "/main2.py": ["/board.py", "/pieces2.py", "/constants.py"], "/pieces2.py": ["/constants.py"]} |
37,691,095 | Cocococo11/MEG_internship | refs/heads/master | /older_agency_scripts/agency_task_BCI_20210601_CB_MV3.py | # Code written by Romain Quentin and Marine Vernet
# Modified by Fayed Rassoulou
# Integration of FieldTrip Buffer by Corentin Bel
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division
from psychopy import gui, visual, core, data, event, logging, parallel
from psychopy.constants import (NOT_STARTED,... | {"/older_agency_scripts/agency_task_BCI_20210601_CB_MV3.py": ["/MEGBuffer.py"], "/older_agency_scripts/agency_task_BCI_20210623.py": ["/MEGBuffer.py"], "/agency_task_BCI_20210712.py": ["/configs/basemy_agency.py", "/configs/config_agency.py"], "/configs/basemy_agency.py": ["/configs/config_agency.py"], "/configs/config... |
37,691,096 | Cocococo11/MEG_internship | refs/heads/master | /configs/MEGBuffer.py | # Code written by Corentin Bel with the help of Marine Vernet, Samuel Garcia, Emmanuel Maby and Fayed Rassoulou
# -------------------- Imports -------------------------- #
# Pyacq imports
from pyacq.core import Node
from pyacq.core.stream import InputStream
from pyqtgraph.Qt import QtCore
# General imports
import os
... | {"/older_agency_scripts/agency_task_BCI_20210601_CB_MV3.py": ["/MEGBuffer.py"], "/older_agency_scripts/agency_task_BCI_20210623.py": ["/MEGBuffer.py"], "/agency_task_BCI_20210712.py": ["/configs/basemy_agency.py", "/configs/config_agency.py"], "/configs/basemy_agency.py": ["/configs/config_agency.py"], "/configs/config... |
37,691,097 | Cocococo11/MEG_internship | refs/heads/master | /older_agency_scripts/agency_task_BCI_20210623.py | # Code written by Romain Quentin and Marine Vernet
# Modified by Fayed Rassoulou
# Integration of FieldTrip Buffer by Corentin Bel
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division
from psychopy import gui, visual, core, data, event, logging, parallel
from psychopy.constants import (NOT_STARTED,... | {"/older_agency_scripts/agency_task_BCI_20210601_CB_MV3.py": ["/MEGBuffer.py"], "/older_agency_scripts/agency_task_BCI_20210623.py": ["/MEGBuffer.py"], "/agency_task_BCI_20210712.py": ["/configs/basemy_agency.py", "/configs/config_agency.py"], "/configs/basemy_agency.py": ["/configs/config_agency.py"], "/configs/config... |
37,691,098 | Cocococo11/MEG_internship | refs/heads/master | /testing/basemy.py | import os
import os.path as op
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.backends.backend_pdf import PdfPages
# def thecodes(file_to_ana, decod_scr_with_trigger):
# if file_to_ana == 'Guided':
# if decod_scr_with_trigger == 1:
# cow_codes_scr = [40, 42]
# else:
... | {"/older_agency_scripts/agency_task_BCI_20210601_CB_MV3.py": ["/MEGBuffer.py"], "/older_agency_scripts/agency_task_BCI_20210623.py": ["/MEGBuffer.py"], "/agency_task_BCI_20210712.py": ["/configs/basemy_agency.py", "/configs/config_agency.py"], "/configs/basemy_agency.py": ["/configs/config_agency.py"], "/configs/config... |
37,691,099 | Cocococo11/MEG_internship | refs/heads/master | /agency_task_BCI_20210712.py | # Code written by Romain Quentin and Marine Vernet
# Modified by Fayed Rassoulou
# Integration of FieldTrip Buffer by Corentin Bel
# -*- coding: utf-8 -*-
# The files imported contain everything we need to run the code : libraries, functions, parameters, variables
# For the functions : make sure the files follow Gith... | {"/older_agency_scripts/agency_task_BCI_20210601_CB_MV3.py": ["/MEGBuffer.py"], "/older_agency_scripts/agency_task_BCI_20210623.py": ["/MEGBuffer.py"], "/agency_task_BCI_20210712.py": ["/configs/basemy_agency.py", "/configs/config_agency.py"], "/configs/basemy_agency.py": ["/configs/config_agency.py"], "/configs/config... |
37,691,100 | Cocococo11/MEG_internship | refs/heads/master | /configs/basemy_agency.py | #######################################################################################################################
######################### File regrouping all the functions used in the agency_task_bci script#########################
################################################################################... | {"/older_agency_scripts/agency_task_BCI_20210601_CB_MV3.py": ["/MEGBuffer.py"], "/older_agency_scripts/agency_task_BCI_20210623.py": ["/MEGBuffer.py"], "/agency_task_BCI_20210712.py": ["/configs/basemy_agency.py", "/configs/config_agency.py"], "/configs/basemy_agency.py": ["/configs/config_agency.py"], "/configs/config... |
37,691,101 | Cocococo11/MEG_internship | refs/heads/master | /testing/plot_score.py | import numpy as np
from basemy import *
from config import *
import mne
#**** PLOT THE SCORES *****
file_to_ana = 'npy'
file_to_ana_session = 'session1'
which_channels = 'meg'
file = thedirectorydecod(path_saving, 'results/decoding/meg/') #noqa
fname = op.join(file)
files = os.listdir(fname)
runs = list()
runs.exten... | {"/older_agency_scripts/agency_task_BCI_20210601_CB_MV3.py": ["/MEGBuffer.py"], "/older_agency_scripts/agency_task_BCI_20210623.py": ["/MEGBuffer.py"], "/agency_task_BCI_20210712.py": ["/configs/basemy_agency.py", "/configs/config_agency.py"], "/configs/basemy_agency.py": ["/configs/config_agency.py"], "/configs/config... |
37,691,102 | Cocococo11/MEG_internship | refs/heads/master | /testing/test_dataloss.py | # Testing data losses
import mne
import numpy as np
import os.path as op
import pandas as pd
import matplotlib.pyplot as plt
directory = 'C:/Users/Coco/Desktop/simple-megbuffer and script/saves/file/'
subject = 'fay'
session = ''
filename = 'saves/file/fa_agency_session0_run0_filter.fif'
fname = op.join(directory, '%... | {"/older_agency_scripts/agency_task_BCI_20210601_CB_MV3.py": ["/MEGBuffer.py"], "/older_agency_scripts/agency_task_BCI_20210623.py": ["/MEGBuffer.py"], "/agency_task_BCI_20210712.py": ["/configs/basemy_agency.py", "/configs/config_agency.py"], "/configs/basemy_agency.py": ["/configs/config_agency.py"], "/configs/config... |
37,691,103 | Cocococo11/MEG_internship | refs/heads/master | /configs/config_agency.py | #######################################################################################################################
######################### File regrouping all the variables used in the agency_task_bci script#########################
################################################################################... | {"/older_agency_scripts/agency_task_BCI_20210601_CB_MV3.py": ["/MEGBuffer.py"], "/older_agency_scripts/agency_task_BCI_20210623.py": ["/MEGBuffer.py"], "/agency_task_BCI_20210712.py": ["/configs/basemy_agency.py", "/configs/config_agency.py"], "/configs/basemy_agency.py": ["/configs/config_agency.py"], "/configs/config... |
37,691,104 | Cocococo11/MEG_internship | refs/heads/master | /configs/extract.py | import numpy as np
import mne
from mne.io import read_raw_ctf
import os.path as op
import os
from config import * #check ce fichier où tu vas mettre ta config, les path, les subject que tu choisis etc.
#THIS SCRIPT IS FOR EXTRACT FILE FOR MATLAB AND EXTRACT TRIGGER
# **** loading files ****
subj_nb = 0
total_run = 0
... | {"/older_agency_scripts/agency_task_BCI_20210601_CB_MV3.py": ["/MEGBuffer.py"], "/older_agency_scripts/agency_task_BCI_20210623.py": ["/MEGBuffer.py"], "/agency_task_BCI_20210712.py": ["/configs/basemy_agency.py", "/configs/config_agency.py"], "/configs/basemy_agency.py": ["/configs/config_agency.py"], "/configs/config... |
37,691,105 | Cocococo11/MEG_internship | refs/heads/master | /testing/predicting_clf.py | import pandas as pd
import matplotlib.pyplot as plt
import copy
import numpy as np
import mne
from mne.io import read_raw_ctf
import os.path as op
import os
from config import * #check ce fichier où tu vas mettre ta config, les path, les subject que tu choisis etc.
def predicting_clf(timeStamp,subjectId,nbSteps):
# *... | {"/older_agency_scripts/agency_task_BCI_20210601_CB_MV3.py": ["/MEGBuffer.py"], "/older_agency_scripts/agency_task_BCI_20210623.py": ["/MEGBuffer.py"], "/agency_task_BCI_20210712.py": ["/configs/basemy_agency.py", "/configs/config_agency.py"], "/configs/basemy_agency.py": ["/configs/config_agency.py"], "/configs/config... |
37,691,106 | Cocococo11/MEG_internship | refs/heads/master | /testing/config.py |
'''
This is the config used for the scripts
session nb = the number of session ()
subjects_id = the
'''
# **** path ************************************************************
computer = 'corentin' # 'home' 'work' 'biowulf' 'fayed'
if computer == 'ssd':
path_data = '/Volumes/SSD_Marine/agency/Data_MEG'
pa... | {"/older_agency_scripts/agency_task_BCI_20210601_CB_MV3.py": ["/MEGBuffer.py"], "/older_agency_scripts/agency_task_BCI_20210623.py": ["/MEGBuffer.py"], "/agency_task_BCI_20210712.py": ["/configs/basemy_agency.py", "/configs/config_agency.py"], "/configs/basemy_agency.py": ["/configs/config_agency.py"], "/configs/config... |
37,714,363 | sukritkapil2/DSIR-System | refs/heads/master | /category.py | import jsonnn
import json
import os
import numpy as np
docFiles = [f for f in os.listdir('./jsonnn') if f.endswith(".json")]
category = []
for file in docFiles:
document = dict()
with open("./jsonnn/"+ file) as json_data:
document = json.load(json_data)
#print(document["Category"])
... | {"/final_gui.py": ["/store_scores_gui.py"], "/1-click-run.py": ["/final_gui.py", "/jsonconverter.py", "/store_categories_authors.py", "/store_document_tokens_list.py", "/store_vocabulary.py", "/store_megadict.py", "/document_normalized_denominator.py"]} |
37,714,364 | sukritkapil2/DSIR-System | refs/heads/master | /store_document_tokens_list.py | from math import log
import nltk
from nltk import word_tokenize
from nltk import FreqDist
import sys
import math
import os
from nltk.stem.snowball import SnowballStemmer
from collections import defaultdict
import pickle
import json
nltk.download('punkt')
nltk.download('stopwords')
vocabulary = {}
vocabulary_idf = {}
... | {"/final_gui.py": ["/store_scores_gui.py"], "/1-click-run.py": ["/final_gui.py", "/jsonconverter.py", "/store_categories_authors.py", "/store_document_tokens_list.py", "/store_vocabulary.py", "/store_megadict.py", "/document_normalized_denominator.py"]} |
37,778,643 | fanieblesat/proyectoMintic | refs/heads/main | /test.py | from db import get_db, close_db
app.app_context(app=db)
close_db()
db=get_db()
db.execute('SELECT * FROM user')
| {"/app.py": ["/db.py", "/inventory.py", "/models.py"], "/test.py": ["/db.py"]} |
37,778,644 | fanieblesat/proyectoMintic | refs/heads/main | /inventory.py | class Inventory:
def __init__(self, ID, name, numInStock, img, cost):
self.ID = ID
self.name = name
self.numInStock = numInStock
self.img = img
self.cost = cost
| {"/app.py": ["/db.py", "/inventory.py", "/models.py"], "/test.py": ["/db.py"]} |
37,778,645 | fanieblesat/proyectoMintic | refs/heads/main | /db.py | import sqlite3
from sqlite3 import Error
from flask import g
def get_db():# conect a la base de datos sqlite.
try:
if 'db' not in g:
g.db = sqlite3.connect('almacen.db')
return g.db
except Error:
print(Error)
def close_db():# cierre la cone a la base de dato... | {"/app.py": ["/db.py", "/inventory.py", "/models.py"], "/test.py": ["/db.py"]} |
37,778,646 | fanieblesat/proyectoMintic | refs/heads/main | /app.py | # -*- coding: utf-8 -*-
# -*- coding: utf-8 -*-
from flask import Flask, render_template, request, flash, session, url_for, redirect
from flask_sqlalchemy import SQLAlchemy
from flask_login import login_required, LoginManager, login_user, logout_user, UserMixin
from werkzeug.security import generate_password_hash, chec... | {"/app.py": ["/db.py", "/inventory.py", "/models.py"], "/test.py": ["/db.py"]} |
37,778,647 | fanieblesat/proyectoMintic | refs/heads/main | /models.py | from flask_login import UserMixin
from werkzeug.security import generate_password_hash, check_password_hash
from flask_login import UserMixin
from werkzeug.security import generate_password_hash, check_password_hash
from __init__ import db
class User(db.Model):
"""Data model for user accounts."""
_... | {"/app.py": ["/db.py", "/inventory.py", "/models.py"], "/test.py": ["/db.py"]} |
37,790,932 | metaphysicser/DP-Star | refs/heads/main | /metrics/query_avre.py | # -*- encoding:utf-8 -*-
import numpy as np
import random
import os
import datetime
count_get = 0
path_list = ['../../data/Geolife Trajectories 1.3/Trajectories7000/', '../../data/Geolife Trajectories '
'1.3/sd/sd_final_MDL1100_ep0.1/',
... | {"/dpstar/synthetic_trajectory_generation.py": ["/utils/__init__.py"], "/dpstar/__init__.py": ["/dpstar/adaptive_grid_construction.py", "/dpstar/trip_distribution_extraction.py", "/dpstar/mobility_model_construction.py", "/dpstar/route_length_estimation.py", "/dpstar/synthetic_trajectory_generation.py"], "/dpstar/route... |
37,790,933 | metaphysicser/DP-Star | refs/heads/main | /dpstar/mdl.py | """
-------------------------------------
# -*- coding: utf-8 -*-
# @Author : nomalocaris、Giyn、HZT
# @File : mdl.py
# @Software: PyCharm
-------------------------------------
"""
import os
import numpy as np
from utils import vlen
from utils import ProgressBar
from utils import to_vec_add
from utils import to_ve... | {"/dpstar/synthetic_trajectory_generation.py": ["/utils/__init__.py"], "/dpstar/__init__.py": ["/dpstar/adaptive_grid_construction.py", "/dpstar/trip_distribution_extraction.py", "/dpstar/mobility_model_construction.py", "/dpstar/route_length_estimation.py", "/dpstar/synthetic_trajectory_generation.py"], "/dpstar/route... |
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