text string | size int64 | token_count int64 |
|---|---|---|
# -*- coding: utf-8 -*-
"""
Created on Sun Mar 21 11:55:27 2021
Snow-Hydrology Repo for Evaluation, Analysis, and Decision-making Dashboard (shread_dash.py) Database Initialization
This is part of dashboard loading database and other data into memory. The data for the database relies on a series of
retrieval scripts ... | 9,018 | 3,831 |
import cloudscraper
import json
from bs4 import BeautifulSoup
from dotenv import load_dotenv
import os
scraper = cloudscraper.create_scraper()
load_dotenv('lang_code')
language = os.getenv("lang_code")
def simsimi(question):
'''
Function to make the HTTP request to the Simsimi API already with the message typed b... | 730 | 253 |
import sys
def write():
print('Creating new text file')
name = 'test.txt' # Name of text file coerced with +.txt
try:
file = open(name,'a') # Trying to create a new file or open one
file.close()
except:
print('Something went wrong! Can\'t tell what?')
... | 357 | 122 |
from rest_framework import serializers
from .models import Bid, Item, User
class ItemSerializer(serializers.ModelSerializer):
class Meta:
model = Item
fields = ('id', 'name', 'product_code', 'description', 'sold')
class UserSerializer(serializers.ModelSerializer):
class Meta:
model =... | 523 | 147 |
import requests
from a01.auth import A01Auth
session = requests.Session() # pylint: disable=invalid-name
session.auth = A01Auth()
| 133 | 46 |
"""
Construct, train neural-SDE models and simulate trajectories from the learnt
models.
"""
# Copyright 2021 Sheng Wang.
# Affiliation: Mathematical Institute, University of Oxford
# Email: sheng.wang@maths.ox.ac.uk
import numpy as np
import os
import pandas as pd
import tensorflow as tf
import tensorflow_probabilit... | 27,025 | 9,166 |
import random
pedra = '''
_______
---' ____)
(_____)
(_____)
(____)
---.__(___)
'''
papel = '''
_______
---' ____)____
______)
_______)
_______)
---.__________)
'''
tesoura = '''
_______
---' ____)____
______)
__________)
(____)
-... | 2,641 | 1,157 |
def even_square_sum(list):
even = [x * x for x in list if x % 2 == 0]
return sum(even)
print(even_square_sum([1, 2, 3, 4, 5])) | 133 | 63 |
import json
file_content = []
with open('vaccine_data.ndjson', 'r', encoding="UTF-8") as f:
for row in f.readlines():
rowJson = json.loads(row.replace('\n',''))
if rowJson['prefecture'] == '08':
del rowJson['prefecture']
if not rowJson['medical_worker']:
del rowJson['medical_worker']
... | 1,304 | 488 |
from .system import System
from logcat import LogCat
class Widget(System):
def __init__(self):
super().__init__()
self.on("cmd_render", self._render)
# widget.py
| 187 | 61 |
import smtplib
user = input('Enter your gmail ')
password = input('Enter your password ')
receiver = input('Enter the receiver ')
msg = input('Enter the message ')
#num = input('Enter the number of emails you want to send ')
#x = 0
#x = int()
#num = int()
server = smtplib.SMTP('smtp.gmail.com', 587)
server.... | 461 | 160 |
'''
Created on Feb 4, 2015
@author: nirmal
'''
from scheme import current_timestamp
from spire.schema import *
from spire.mesh import Surrogate
__all__ = ('Notification',)
schema = Schema('narrative')
class Notification(Model):
"""A notification."""
class meta:
schema = schema
... | 820 | 255 |
from entity.message import Message
from .databaserepo import DatabaseRepo
class MessageDbRepo(DatabaseRepo):
def __init__(self):
super().__init__("Messages")
def all(self, cid):
query = "SELECT * FROM " + self.table + " WHERE conversation_id = '" + str(cid) + "'"
m_results = self.db.s... | 1,061 | 335 |
from tkinter import *
from tkinter import messagebox
from database import db
from client import client
from pprint import *
import matplotlib
matplotlib.use("TkAgg")
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
from matplotlib.figure import Figure
import matplotlib.dates as m... | 8,896 | 2,788 |
import torch
import numpy as np
import os
import sys
from fairseq.data.data_utils import collate_tokens
from fairseq.models.roberta import RobertaModel
import time
roberta = RobertaModel.from_pretrained('checkpoints/', checkpoint_file='ck.pt', data_name_or_path='data/processed_RACE/')
roberta.eval()
def eval_one_e... | 4,431 | 1,490 |
import soundfile as sf
from tqdm import tqdm
import src.utils.interface_file_io as io
import librosa
import wave
import multiprocessing
import src.utils.interface_multiprocessing as mi
import torchaudio
import numpy as np
import torch.nn.functional as F
import torch
torchaudio.set_audio_backend("sox_io")
def audio_lo... | 5,043 | 1,801 |
import math
from typing import MutableSequence, Optional, TypeVar, Union
import torch
from torch import nn
from torch import Tensor
from torch.types import Number
from einops import repeat
T = TypeVar("T")
def exists(val: Optional[T]) -> bool:
return val is not None
def default(val: Optional[T], d: T) -> T:
... | 6,318 | 2,343 |
class Blog:
def __init__(self, title, photo, name,date,content):
self.title = title
self.photo = photo
self.name = name
self.date = date
self.content = content
blog1= Blog(title='python bisics', photo='https://images.pexels.com/photos/837140/pexels-photo-837140.jpeg',
name='Yasser',date='10-06-2... | 828 | 360 |
import logging
from modules.common.GoogleBucketResource import GoogleBucketResource
from modules.common.Utils import Utils
from modules.common import create_output_dir, remove_output_dir
from yapsy.PluginManager import PluginManager
from definitions import PIS_OUTPUT_DIR
logger = logging.getLogger(__name__)
class Re... | 4,075 | 1,148 |
import importlib
import os
conf_module = importlib.import_module("conf.%s" % os.environ['CONFIGURATION'])
settings = {
key: getattr(conf_module, key)
for key in dir(conf_module)
if key.isupper()
}
| 211 | 74 |
from django.db import models
# Create your models here.
class User(models.Model):
SEXS = ((0, '未知'), (1, '男'), (2, '女'))
LOCATIONS = (('gz', '广州'), ('sz', '深圳'), ('sh', '上海'), ('bj', '北京'), ('cq', '重庆'))
phonenum = models.CharField(max_length=11, unique=True)
nickname = models.CharField(max_length=16)... | 694 | 263 |
from dataclasses import dataclass
from scipy.stats import nbinom # type: ignore[import]
from probs.discrete.rv import DiscreteRV
@dataclass(eq=False)
class NegativeBinomial(DiscreteRV):
"""
The negative binomial distribution is a discrete probability distribution
that models the number of failures k in... | 1,696 | 534 |
#!python3
"""
A simple script that uses Baidu Place API to search certain kinds of place
in a range of circular space.
This API can be called maximum 2000 times per day.
"""
import requests, json
# import psycopg2
class ConvertFailure(Exception):
def __str__(self):
return "Convertion Failed."
mykey = "In... | 2,513 | 948 |
# -*- coding: utf-8 -*-
import logging
from pathlib import Path
import click
import torch
from classifier import Classifier
from torchvision import datasets, transforms
@click.command()
@click.argument('data_filepath', type=click.Path(), default='data')
@click.argument('trained_model_filepath', type=click.Path(),
... | 2,293 | 692 |
__author__ = 'luigolas'
import numpy as np
from scipy.stats import cumfreq
class Statistics():
"""
Position List: for each element in probe, find its same ids in gallery. Format: np.array([[2,14],[1,2],...])
Mean List: Calculate means of position list by axis 0. Format: np.array([1.52, 4.89])
Mode_li... | 4,681 | 1,553 |
from rhqmetrics_handler import RHQMetricsHandler
| 49 | 16 |
from tkinter import*
#=====importing self created module which will show the registartion form=======#
import registrationform
#=====importing self created module which will help in deleting student record from data base======#
import deletestudent
#=============importing selfcreated update student record ========... | 3,253 | 1,117 |
from django import forms
from django.contrib.auth.models import User
from django.contrib.auth.forms import UserCreationForm
from .models import Customer, Seller, Product, Order
class SignUpForm(UserCreationForm):
first_name = forms.CharField(max_length=30, required=True)
last_name = forms.CharField(max_lengt... | 3,443 | 1,035 |
"""Implementation of AvoidBlastMatches."""
from ..Specification import Specification, SpecEvaluation
# from .VoidSpecification import VoidSpecification
from ..biotools import blast_sequence
from ..Location import Location
class AvoidBlastMatches(Specification):
"""Enforce that the sequence has no BLAST matches ... | 4,665 | 1,336 |
from aadict import aadict
from cachetools import LRUCache
import ujson as json
import regex
from shortuuid import uuid
from functools import wraps
from glob import glob
from time import time
import logging
import os
import shutil
import unicodedata
_logger = logging.getLogger(__name__)
_basepath = None
_serialize =... | 8,769 | 2,698 |
print("x"*25)
print("Bem-Vindo a Tabuada v2.0")
print("x"*25)
n = int(input("Digite um número para a tabuada: "))
for t in range(1, 11):
print(f"{n} x {t:2} = {n*t}") | 171 | 88 |
n1=17
n2=28
if n1>n2:
print('n1 bozorgtar az n2')
elif n1<n2:
print('n2 bozorgtar az n1')
elif n1==n2:
print('n1 va n2 barabar hastand')
| 149 | 80 |
"""Adds table for scicrunch rrids
Revision ID: 39fa67f45cc0
Revises: 3452ca7b13e9
Create Date: 2020-12-15 18:16:03.581479+00:00
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "39fa67f45cc0"
down_revision = "3452ca7b13e9"
branch_labels = None
depends_on = None
... | 1,192 | 421 |
import pymysql
from tkinter import messagebox
class Socios():
def abrir(self):
bbdd= pymysql.connect( host= "localhost", user= "root", passwd="", db= "ejemplo1")
return bbdd
def alta(self,datos):
'''
datos[0]: id
datos[1]: nombre
'''
bbdd=self.abrir()
... | 2,541 | 938 |
import sys
import json
import das_client
def dasFileQuery(dataset):
query = 'dataset dataset=%s' % dataset
host = 'https://cmsweb.cern.ch' # default
idx = 0 # default
limit = 0 # unlimited
debug = 0 # defaul... | 1,420 | 441 |
def append_file(password, file_path):
password_file = open(file_path, "a+")
password_file.write(password + "\r\n")
password_file.close()
| 153 | 56 |
import pickle
# pickle can serialize python objects
data = {1:"hi", 2: "there"}
# convert to byte
byte_data = pickle.dumps(data)
# convert back to python object
data2 = pickle.loads(byte_data)
# ----------using with files----------
filename = ""
# write to a file
pickle.dump(data, open(filename, "wb" ))
with op... | 477 | 175 |
from os import sys, path
from resolver.models import *
sys.path.append(path.dirname(path.dirname(path.abspath(__file__))))
sys.path.append('/home/app')
from client.lib.cactus_client import CactusClient
def run():
Organization.objects.all().delete()
Inchi.objects.all().delete()
Publisher.objects.all().d... | 4,676 | 1,560 |
import subprocess
def launch_app(path_of_app):
try:
subprocess.call([path_of_app])
return True
except Exception as e:
print(e)
return False | 180 | 55 |
from characters.models import Character
from characters.serializers import CharacterSerializer
from rest_framework import generics
class CharacterListView(generics.ListCreateAPIView):
queryset = Character.objects.all()
serializer_class = CharacterSerializer
class CharacterDetailView(generics.RetrieveUpdateD... | 418 | 100 |
from django.conf.urls import url
from django.utils.translation import ugettext_lazy as _
from .views import DeleteRole, EditRole, NewRole, RolesList, RoleUsers
class MisagoAdminExtension(object):
def register_urlpatterns(self, urlpatterns):
# Permissions section
urlpatterns.namespace(r'^permissio... | 1,454 | 450 |
from base import *
import utils.neuralrenderer_render as nr
class Visualizer(object):
def __init__(self,high_resolution=False):
self.high_resolution = high_resolution
self.renderer = nr.get_renderer(high_resolution=self.high_resolution).cuda()
def visualize_renderer(self,verts,images):... | 5,138 | 1,975 |
import wsgiref.util
import flask
from proxy import proxy
# pylint: disable=W0212
def test_happy_path():
environ = {
"REQUEST_METHOD": "GET",
"PATH_INFO": "/locationforecast/1.9/",
"QUERY_STRING": "lat=59.31895603;lon=18.0517762",
"HTTP_REFERER": "https://walles.github.io/weather... | 455 | 179 |
import sys
def main():
for line in sys.stdin:
value, group = line.strip().split(',')
print(group, 1, sep='\t')
if __name__ == '__main__':
main()
| 186 | 66 |
import os
import numpy as np
import argparse
import logging
import random
import pickle
from pprint import pformat
from exps.data import ParticleNetDataset
from settree.set_data import SetDataset, OPERATIONS, merge_init_datasets
import exps.eval_utils as eval
from exps.eval_utils import create_logger
data_root = '/ho... | 6,756 | 2,187 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from .blnet_web import BLNETWeb, test_blnet
from .blnet_conn import BLNETDirect
from .blnet import BLNET
| 152 | 61 |
from psycopg2 import connect
import requests
import json
r = requests.get(
"http://localhost:9091/api/getDatabaseContainerByContainerID",
params = {"containerID":"Metadatabase"}
)
r.json()
conn=connect(
dbname="metadatabase",
user = "postgres",
host = r.json()['IpAddress'],
password = "postgr... | 452 | 165 |
from setuptools import setup
setup(name='dcgenerator',
version='0.1',
description='Generate dc events from time series',
url='https://github.com/JurgenPalsma/dcgenerator',
author='Flying Circus',
author_email='jurgen.palsma@gmail.com',
license='MIT',
packages=['dcgenerator'],
... | 395 | 122 |
"""Manage Wonk's configuration."""
import pathlib
from typing import Any, Dict, List
import yaml
from pydantic import BaseModel
from toposort import toposort_flatten # type: ignore
from wonk.exceptions import UnknownParentError
class PolicySet(BaseModel):
"""Describes a policy set."""
name: str
manag... | 2,801 | 810 |
# Copyright 2021 Arm Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agree... | 5,325 | 1,697 |
# Copyright 2017 Google Inc.
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | 3,192 | 969 |
#!/user/bin/env python
# -*- coding: utf-8 -*-
"""
------------------------------------
@Project : opensourcetest
@Time : 2020/11/12 15:01
@Auth : chineseluo
@Email : 848257135@qq.com
@File : cli_test.py
@IDE : PyCharm
------------------------------------
"""
import os
import sys
import unittest
from op... | 1,578 | 539 |
import socket
import struct
import config
import json
import threading
import random
def multicast_handler(client_port: int):
# create the datagram socket
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
sock.bind(('', client_port))
# set a timeout so the socket does not block indefinitely when... | 2,364 | 727 |
import numpy as np
import torch
from collections import defaultdict, deque, OrderedDict
import heapq
from data_structures import DoublyLinkedList, UndirectedGraph,Fragment
import time
import sys
loss = torch.nn.GaussianNLLLoss()
def _compute_stats(track):
t,x,y = track['t'],track['x'],track['y']
ct... | 18,567 | 5,753 |
#Copyright (c) 2010 harkon.kr
#
# ***** BEGIN MIT LICENSE BLOCK *****
#
#Permission is hereby granted, free of charge, to any person obtaining a copy
#of this software and associated documentation files (the "Software"), to deal
#in the Software without restriction, including without limitation the rights
#to use, copy... | 4,324 | 1,355 |
from enum import Enum
class StatusType(Enum):
DEFAULT = "dflag updated_at created_at".split()
class UnidadesType(Enum):
DEFAULT = "dflag updated_at created_at".split()
class AssuntoType(Enum):
DEFAULT = "dflag updated_at created_at".split()
class PersonsType(Enum):
DEFAULT = "dflag updated_at create... | 5,063 | 1,489 |
import os
path = os.path.join(os.path.dirname(__file__), 'day01.txt')
with open(path) as f:
inputdata = f.readlines()
def part1():
total = 0
freqlist = {}
for line in inputdata:
total += int(line)
return total
def part2():
total = 0
freqlist = set()
while True:
for lin... | 550 | 201 |
#! /usr/bin/env python
#
# Copyright (C) 2018 Mikko Kotila
import os
DESCRIPTION = "Signs Text Processing for Deep Learning"
LONG_DESCRIPTION = """\
Signs is a utility for text preprocessing, vectorizing, and analysis
such as semantic similarity, mainly for the purpose of using unstructured
data in deep learning mode... | 2,259 | 659 |
class NotProvided:
pass
def nullable(value):
if isinstance(value, str) and value == 'null':
return None
return value
| 139 | 44 |
# -*- coding: utf-8 -*-
"""
Created on Wed Sep 9 08:46:08 2020
@author: Jon
"""
from numba import jit
import numpy as np
@jit(nopython=True)
def get_adjusted(state, K, W, ms2_coeff):
#ms2_coeff_flipped = np.flip(ms2_coeff_flipped, 1)
ms2_coeff_flipped = ms2_coeff
one_accumulator = 0
zero_ac... | 856 | 334 |
"""Object name: Resistance
Function name: serial_sum(R,nori,nend), performs serial sum of a resistance object list from nori to nend
Function name: parallel_sum(R,nori,nend), performs parallel sum of a resistance object list from nori to nend
"""
### definition of thermal resistance ###
from sympy.interactive ... | 5,542 | 1,770 |
import csv
import MySQLdb
from datetime import datetime
from tabulate import tabulate
#should be changed to sys/argv but this is temporary anyway
FILENAME = '/tmp/buttons.csv'
NUM_ROWS = 2
def tabulate_dataset(table):
headers = ["Mode", "Datetime"]
print tabulate(table, headers, tablefmt="grid") + '\n'
def... | 2,269 | 721 |
from flask import session
class Session():
@staticmethod
def set_session(key: str, value):
session[key] = value
| 133 | 41 |
import doctest
doctest.testfile("addd.rst")
| 44 | 20 |
from flask import Flask, request, url_for, redirect, session, flash, jsonify, abort
import json
# from flask_login import LoginManager, UserMixin, login_required, logout_user
from flask_login import login_user, logout_user, login_required
import os
from flask_restful import Resource, Api
from passlib.apps import ... | 3,040 | 975 |
from core_tests_base import CoreTestsBase, FakeTessagon, FakeTileSubClass
from tessagon.core.tile_generator import TileGenerator
class TestTileGenerator(CoreTestsBase):
def test_non_cyclic(self):
tessagon = FakeTessagon()
tile_generator = TileGenerator(tessagon,
... | 4,554 | 1,691 |
n = input();
mp = [[int(i) for i in raw_input()] for j in xrange(n)]
pnt = [[0 for i in xrange(n)] for j in xrange(n)]
x, y = [int(i) for i in raw_input().split()]
for i in xrange(1,x):
pnt[0][i] = pnt[0][i-1]+mp[0][i]-mp[0][i-1] if mp[0][i]>mp[0][i-1] else pnt[0][i-1]
for i in xrange(1,y):
pnt[i][0] = pnt[i-1][0]+... | 645 | 390 |
from . import config as config_module
from .resource import resource_config, Resource
from .view import ResourceView
__all__ = [
"resource_config",
"Resource",
"ResourceView",
]
__version__ = "1.0a2"
def includeme(config):
for name in config_module.__all__:
method = getattr(config_module, n... | 368 | 115 |
def decryped_data(text, key):
char_lower = ""
for i in range(97, 123):
char_lower += chr(i)
char_lower *= 2
char_upper = char_lower.upper()
decryped = ""
for i in text:
if i in char_lower:
decryped += char_lower[char_lower.index(i, 26) - key]
elif i in char_up... | 518 | 192 |
#-*- coding: utf-8 -*-
from setuptools import setup
with open("README.md", "r") as fh:
readme = fh.read()
setup(name='fala_assis',
version='0.0.1',
url='https://github.com/OseiasBeu/AssistenteDeFala',
license='MIT License',
author='Oseias Beu',
long_description=readme,
long_des... | 621 | 223 |
num_int = 5
num_dec = 7.3
val_str = "texto qualquer "
print("Primeiro número é:", num_int)
print("O poder do Kakaroto é mais de %i mil" %num_dec)
print("Olá mundo " + val_str + str(num_int))
print("Concatenando decimal:", num_dec)
print("Concatenando decimal: %.10f" %num_dec)
print("Concatenando decimal: " + str(num... | 452 | 181 |
#%%
#md
"""
This script downloads the dataset use in the analysis.
__It requires 2 inputs to be specified__
repo_directory and email (see first cell block).
"""
#%%
# Where is the main directory of the repo
repo_directory = './'
# Pubmed requires you to identify with an email addreesss
email = ''
#%%
import os
os... | 3,603 | 1,227 |
# -*- coding: utf-8 -*-
from sbdc.preprocessing import ContiguousSegmentSet
from sbdc.datasets import bbc_load
X = bbc_load()
cs = ContiguousSegmentSet(
min_segment_length=100,
small_segment_vanish_strategy="top")
cs.fit(X[:, 2])
text_segments = cs.transform()
print text_segments[:2]
| 297 | 120 |
import xml.etree.ElementTree as ET
from pathlib import Path
from argparse import ArgumentParser
import dateutil.parser
def main():
parser = ArgumentParser(
description="An example script demonstrating how to parse a few "
"values out of a FIXM XML file.")
parser.add_argument("xml_... | 1,586 | 408 |
# Base imports
from os import environ
# Third party imports
from graphene import Field, ObjectType, String, Int
# Project imports
from graphql_api.tenor.schemas.hacker_gif.result import Result
from graphql_api.tenor.resolvers.hacker_gif import resolve_hacker_gifs
API_KEY = environ.get('TENOR_API_KEY')
class Hack... | 554 | 182 |
# coding: latin-1
# Flask example: https://realpython.com/flask-by-example-part-1-project-setup/
from flask import Flask
from waitress import serve
app = Flask(__name__)
from functions.date import get_date
from functions.connect import connect
header = '<html>\n\t<header>\n\t\t<title>\n\t\t\tHome control panel\n\t\... | 2,367 | 962 |
# Handlers
import json
import logging
from aiohttp import web
def tape_library_handler_wrapper(
request,
action_name,
required_params=None,
optional_params=None,
skip_lock_check=False,
):
"""This wrapper performs error handling for the API calls.
Raises
------
Multiple exception... | 10,371 | 2,965 |
import logging
from datetime import datetime, timedelta
from robit.core.health import Health
class Alert:
def __init__(
self,
**kwargs,
):
if 'alert_method' in kwargs:
self.method = kwargs['alert_method']
if 'alert_method_kwargs' in kwargs:
se... | 1,677 | 469 |
import datetime
import pytz
from utils.timezones import time_zones
from utils.CalculateHours import calc_hours
def validate_schedule(resource, this_tag, customTagName):
t = this_tag
if t['Key'].lower() == customTagName.lower():
state = resource.state['Name']
stop_instance = False
st... | 5,823 | 1,547 |
class Solution:
def isHappy(self, n: int) -> bool:
pool = set()
pool.add(n)
result=n
while(result>1):
strn = str(result)
result = 0
for c in strn:
result+=int(c)*int(c)
if result in pool:
return False
... | 365 | 105 |
from django.contrib import admin
from .models import PreQuestionnaire
admin.site.register(PreQuestionnaire)
| 110 | 29 |
import numpy as np
from collections import defaultdict
from typing import Any, Callable, Dict, List, Optional, Set, Tuple, Union
def _voc_ap(
rec,
prec,
use_07_metric=False,
):
"""Compute VOC AP given precision and recall. If use_07_metric is true, uses
the VOC 07 11-point method (default:False).
... | 5,014 | 1,962 |
import asyncio
from callable import Callable
from signature import signature
import pytest
def f1(a: int, b: str = 'x') -> None:
pass
@asyncio.coroutine
def f2(a: int, b: str = 'x') -> None:
pass
@pytest.mark.parametrize('f,sig', [
(lambda: None, 'lambda'),
(lambda a, b: None, 'lambda a, b'),
... | 1,418 | 629 |
import sys; print('%s %s' % (sys.executable or sys.platform, sys.version))
| 75 | 27 |
# coding: utf-8
##########################################################################
# NSAp - Copyright (C) CEA, 2020
# Distributed under the terms of the CeCILL-B license, as published by
# the CEA-CNRS-INRIA. Refer to the LICENSE file or to
# http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html
# for det... | 1,293 | 367 |
from src.auth.adapter import *
from src.auth.domain import *
from src.auth.service import *
| 92 | 28 |
class Planning:
"""
This class represents the Planning phase of a turn
"""
def __init__(self, game):
"""
Constructor
game: The game under way
"""
self._game = game
def execute(self):
"""
Run the Planning phase
"""
... | 569 | 174 |
import json
import random
import re
import subprocess
import tempfile
from datetime import timedelta
import cv2
import numpy as np
import requests
from vidaug import augmentors as va
# this is a static build from https://www.johnvansickle.com/ffmpeg/old-releases/ffmpeg-4.4.1-i686-static.tar.xz
# requires new ffmpeg v... | 8,098 | 2,997 |
from bingraphvis.base import Content
class AflCovInfo(Content):
def __init__(self, project):
super(AflCovInfo, self).__init__('aflcovinfo', ['text'])
self.project = project
def gen_render(self, n):
node = n.obj
n.content[self.name] = {
'data': [{
... | 621 | 195 |
from __future__ import absolute_import
from __future__ import unicode_literals
from corehq.dbaccessors.couchapps.all_docs import \
get_all_doc_ids_for_domain_grouped_by_db, get_doc_count_by_type, \
delete_all_docs_by_doc_type, get_doc_count_by_domain_type
from dimagi.utils.couch.database import get_db
from djan... | 3,418 | 1,232 |
#=======================================================================
# instruction.py
#=======================================================================
from pydgin.utils import r_uint
class Instruction( object ):
def __init__( self, bits, str ):
self.bits = r_uint( bits )
self.str = str
@prop... | 913 | 348 |
from autogoal.contrib import find_classes
from autogoal.kb import *
from autogoal.kb import build_pipelines, build_pipeline_graph
from autogoal.contrib.spacy import SpacyNLP
from autogoal.contrib._wrappers import FlagsMerger
import logging
logging.basicConfig(level=logging.INFO)
pipeline_space = build_pipeline_gra... | 564 | 189 |
"""Customizable space module that provides different search spaces
implementations.
"""
from opytimizer.spaces.boolean import BooleanSpace
from opytimizer.spaces.grid import GridSpace
from opytimizer.spaces.hyper_complex import HyperComplexSpace
from opytimizer.spaces.search import SearchSpace
from opytimizer.spaces.t... | 341 | 90 |
# coding: utf-8
#
# This code is part of lattpy.
#
# Copyright (c) 2021, Dylan Jones
#
# This code is licensed under the MIT License. The copyright notice in the
# LICENSE file in the root directory and this permission notice shall
# be included in all copies or substantial portions of the Software.
"""Spatial algorit... | 16,913 | 5,734 |
# SPDX-License-Identifier: BSD
#
# This file is part of Pyosmium.
#
# Copyright (C) 2022 Sarah Hoffmann.
import pytest
import osmium as o
def _run_file(fn):
rd = o.io.Reader(fn)
try:
o.apply(rd, o.SimpleHandler())
finally:
rd.close()
def test_node_only(test_data):
_run_file(test_data(... | 1,471 | 625 |
def printMatrix(m):
for i in range(0, len(m)):
print(m[i])
print("\n")
def convertInputToReq(data):
matrix1 = data
width = len(data)
terminalStates = []
for i in range(0, width):
#are all in the row 0?
all0 = True
rowSum = sum(data[i])
if (... | 6,615 | 2,456 |
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from displayio import Shape, Group, TileGrid, Palette, Bitmap, OnDiskBitmap
NativeElement = Group | Shape | TileGrid | Palette | Bitmap | OnDiskBitmap
NativeContainer = Group
else:
NativeElement = object
NativeContainer = object
| 302 | 90 |
##############################################################################
#copyright 2013, Hamid MEDJAHED (hmedjahed@prologue.fr) Prologue #
#Licensed under the Apache License, Version 2.0 (the "License"); #
#you may not use this file except in compliance with the License. #
#You... | 13,279 | 4,775 |
from django.contrib import admin
from django.http import HttpResponseRedirect
from django.urls import path
from faker import Faker
from .models import ProjectRequest
from .utils import create_project_request
@admin.register(ProjectRequest)
class ProjectRequestAdmin(admin.ModelAdmin):
change_list_template = "proj... | 1,105 | 299 |
import numpy as np
from gym import wrappers
from reinforcement_learning.utils.utils import decrement_eps, EPS_DEC_LINEAR, pickle_save
from reinforcement_learning.tabular_RL.utils import init_v, init_q, init_q1_q2, \
max_action_q, max_action_q1_q2, eps_greedy_q, eps_greedy_q1_q2, print_v
class TD0PredictionModel:... | 13,477 | 4,537 |