text string | size int64 | token_count int64 |
|---|---|---|
"""
This script is intended to be used as mask maker
using maskrcnn. We use a separate script because mask rcnn
has different dependencies from the rest.
"""
import numpy as np
from tqdm import tqdm
import sys
import argparse
from configparser import ConfigParser
sys.path.append("../libs")
from tiff import Tiff
from... | 4,502 | 1,653 |
import csv
from biosppy.signals import tools as st
from biosignals.BioSignal import BioSignal
from scipy.signal import butter, lfilter
import numpy as np
#from scipy.fftpack import rfft, irfft
class ECG(BioSignal):
# CONSTRUCTORS--------------------------------------------------------------
def __init__(self,... | 6,560 | 2,192 |
import re
import math
import pytest
from exercises import stretched, powers, say, top_ten_scorers, interpret
def test_stretched():
assert stretched([]) == []
assert stretched([1]) == [1]
assert stretched([10, 20]) == [10, 20, 20]
assert stretched([5, 8, 3, 2]) == [5, 8, 8, 3, 3, 3, 2, 2, 2, 2]
def t... | 3,894 | 1,698 |
from locations.items import *
from locations.constants import INVENTORY_NAME
from utils import formatText
hint_text_ids = [
# Overworld owl statues
0x1B6, 0x1B7, 0x1B8, 0x1B9, 0x1BA, 0x1BB, 0x1BC, 0x1BD, 0x1BE, 0x22D,
0x288, 0x280, # D1
0x28A, 0x289, 0x281, # D2
0x282, 0x28C, 0x28B, ... | 2,199 | 1,089 |
import tensorflow as tf
import tensorflow_probability as tfp
# from tensorflow_probability import edward2 as ed2
tfd = tfp.distributions
tfb = tfp.bijectors
tfp_kernels = tfp.positive_semidefinite_kernels
import sys
sys.path.insert(0, './self_py_fun')
from self_py_fun.PreFun import *
# import scipy as sp
import seaborn... | 49,756 | 17,619 |
# Copyright 2021 Huawei Technologies Co., Ltd
#
# 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 agreed to... | 10,446 | 3,602 |
from PIL import Image
import os
import numpy as np
import tensorflow as tf
TRAIN_PATH = './tfrecords/train.tfrecords'
TEST_PATH = './tfrecords/test.tfrecords'
# 把传入的value转化为整数型的属性，int64_list对应着 tf.train.Example 的定义
def _int64_feature(value):
return tf.train.Feature(int64_list=tf.train.Int64List(value=[v... | 2,342 | 1,074 |
__all__ = []
from . import core
from .core import * # noqa
__all__.extend(core.__all__)
| 92 | 37 |
from ramda.curry import curry
@curry
def tap(f, v):
f(v)
return v
| 76 | 35 |
# %%
import torch
import string
from transformers import RobertaTokenizer, RobertaForMaskedLM
roberta_tokenizer = RobertaTokenizer.from_pretrained('roberta-base')
roberta_model = RobertaForMaskedLM.from_pretrained('roberta-base').eval()
top_k = 10
def decode(tokenizer, pred_idx, top_clean):
ignore_tokens = stri... | 1,530 | 521 |
"""
Django settings for app project.
Generated by 'django-admin startproject' using Django 2.0.
For more information on this file, see
https://docs.djangoproject.com/en/2.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.0/ref/settings/
"""
import os
from .e... | 5,686 | 2,125 |
import functools
from flask import (
Blueprint,flash,g,redirect,render_template,request,session,url_for
)
from werkzeug.security import check_password_hash,generate_password_hash
from flaskr.db import get_db
bp=Blueprint('auth',__name__,url_prefix='/auth')
@bp.route('/register',methods=('GET','POST'))
def regi... | 2,406 | 692 |
# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyOlefile(PythonPackage):
"""Python package to parse, read and write Microsoft OLE2 files"... | 572 | 247 |
T = int(input())
while T != 0:
tot = 0
for k in range(T):
S = input().split()
N = int(S[0])
A = ' '.join(S[1:])
if A == "suco de laranja":
tot += N*120
elif A == "morango fresco":
tot += N*85
elif A == "mamao":
tot += N*85
elif A == "goiaba vermelha":
tot += N*70
elif A == "manga":
to... | 575 | 309 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import socket
import ssl
import time
import selectors
class SyncTcpClient(object):
def __init__(self,
*,
host='localhost',
port=783,
timeout=60.0,
ssl_context=None
... | 5,334 | 1,567 |
# -*- coding:utf-8 -*-
from selenium import webdriver
# apk参数
def init_driver():
desired_caps = {}
# 手机 系统信息
desired_caps['platformName'] = 'Android' # 设置平台
desired_caps['platformVersion'] = '10.0' # 系统版本
# 设备号
desired_caps['deviceName'] = '61359515231666' # 设备id
# 包名
desired_caps['a... | 1,700 | 722 |
import glob
import os
import sys
from deep_utils import dump_pickle, load_pickle
import time
from itertools import chain
from argparse import ArgumentParser
import torch
from pretrainedmodels.utils import ToRange255
from pretrainedmodels.utils import ToSpaceBGR
from scipy.spatial.distance import cdist
from torch.utils.... | 5,886 | 2,000 |
"""
Problem 1: Toivonen Algorithm
Executing code:
1) $ python toivonen.py input.txt 4
2) $ python toivonen.py input1.txt 20
"""
# note: error existing inside apriori
import sys
import re
import random
def toivonen(inputfile, support):
iterations = 0
result = []
ck = True
while ck:
ans_... | 8,100 | 2,450 |
import sys, os
os.environ["PATH"] = os.path.dirname(sys.executable) + os.pathsep + os.environ["PATH"]
import click
import subprocess
import pandas as pd
@click.command()
@click.option('--output_path',
'-out',
type=click.Path(exists=True),
required = True,
help="O... | 4,168 | 1,343 |
# Copyright The Linux Foundation
# SPDX-License-Identifier: Apache-2.0
import os
from pathlib import Path
from fossdriver.tasks import SPDXTV
from datatypes import Status, ProjectRepoType
def doGetSPDXForSubproject(cfg, fdServer, prj, sp):
uploadName = os.path.basename(sp._code_path)
uploadFolder = f"{prj._... | 1,351 | 456 |
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 18 01:58:05 2021
@author: ASUS
"""
D = {}
list_1 = []
list_2 = []
def main():
global list_1
global list_2
def number():
Contact_No = input("3) Contact No:")
n = str(Contact_No)
if int(len(n)) == 10:
... | 3,164 | 1,021 |
import csv
import datetime
import logging
import time
from io import StringIO
import numpy as np
import pandas as pd
from django.db.models import Q
from django.utils import timezone
from iotile_cloud.utils.gid import IOTileBlockSlug, IOTileDeviceSlug, IOTileStreamSlug, IOTileVariableSlug
from apps.physicaldevice.mo... | 23,066 | 7,088 |
import shutil
import tempfile
import discord.ext.test as dpytest
import pytest
from discord import Intents
from stonkmaster.core.bot import create_bot
from stonkmaster.core.config import get_config
from stonkmaster.core.setup import create_data_dir, delete_data_dir
@pytest.fixture
def config():
conf = get_confi... | 746 | 251 |
"""
ASGI config for websocketSessions project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('D... | 835 | 253 |
import pytest
from co2_diag.formatters import numstr, my_round, \
tex_escape
def test_number_string_formatting_2decimals():
assert numstr(3.14159, decimalpoints=2) == '3.14'
def test_number_string_formatting_largenumber():
assert numstr(3141592.6534, decimalpoints=3) == '3,141,592.653'
def test_round... | 788 | 325 |
import pandas as pd
import fasttext
from scipy.spatial import distance
from itertools import product
import sys
import numpy as np
model = fasttext.load_model("embedding/wiki.en/wiki.en.bin")
#Return sentence embeddings for a list of words
def get_word_embedding(list_of_words):
return [model.get_sentence_vector(... | 5,151 | 2,047 |
from netapp.netapp_object import NetAppObject
class AdapterSffInfo(NetAppObject):
"""
Information on small form factor
transceiver/connector (also known as sff).
"""
_part_number = None
@property
def part_number(self):
"""
Vendor's part number for the sff.
If da... | 2,515 | 716 |
#!/usr/bin/python3
from datetime import datetime, timedelta
import os
yesterday = datetime.now() - timedelta(1)
yesterday = datetime.strftime(yesterday, '%Y-%m-%d')
a_year_ago = datetime.now() - timedelta(365)
a_year_ago = datetime.strftime(a_year_ago, '%Y-%m-%d')
os.system(f"python3 processing/charts.py --START-DA... | 552 | 205 |
# encoding: utf-8
import os
import subprocess
import netCDF4
import matplotlib.pyplot as plt
import octant
def make_movie(filelst, varname, cmin, cmax, view, lev=0,
istart=None, iend=None, grd=None,
proj='merc', imode='on', title='', clean=False):
"""
make a movie using a 2D hor... | 5,389 | 1,844 |
from typing import List
import numpy as np
from random import choices
from models import Genotype, Generation
from selection import Selection
class Breed:
def __init__(self, parent_genotypes: np.ndarray, possibilites: List[float], population_of_progeny: int,
maximum_feature=None, selection: str ... | 5,251 | 1,556 |
# Generated by Django 3.2.6 on 2021-09-02 02:08
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('app2', '0004_alter_ticket_filed_by'),
]
operations = [
migrations.AlterField(
model_name='ticket',
name='status',
... | 502 | 173 |
N = int(input())
P = (int(n) for n in input().split())
Q = (int(n) for n in input().split())
def kaijyou(n):
if n <= 1: return 1
return n * kaijyou(n-1)
def pos(n):
l = [n for n in range(1,N+1)]
a = sum([l.index(p)*kaijyou(N-i) for i,p in enumerate(P, start=1)])
b = sum([l.index(q)*kaijyou(N-i) for i,q in e... | 359 | 171 |
import os
# Config class for Application Factory
class Config:
basedir = os.path.abspath(os.path.dirname(__file__))
SQLALCHEMY_DATABASE_URI = "sqlite:///" + os.path.join(basedir, "alpha.db")
# You should change this secret key. But make sure it's done before any data
# is included in the database
... | 684 | 256 |
from math import gcd
from functools import reduce
N, *A = map(int, open(0).read().split())
print(100 // reduce(gcd, A))
| 122 | 48 |
#-------------------------------------------------------------------------------
# Name: CLUS_GDAL_Rasterize_VRI
# Purpose: This script is designed to read a list of input PostGIS source
# Vectors and Rasterize them to GeoTiff using GDAL Rasterize and
# then load them into PostGIS... | 8,311 | 2,744 |
from redbot.core.bot import Red
from starboard.starboard import Starboard
def setup(bot: Red):
bot.add_cog(Starboard(bot))
| 129 | 46 |
# coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# 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 applicab... | 6,344 | 2,322 |
#from .base import *
#from .single_route import *
#from .multiple_route import *
| 84 | 29 |
#!/usr/bin/env python
import os
import os.path
import sys
W3JS = "https://www.w3schools.com/lib/w3.js"
W3CSS = "https://www.w3schools.com/w3css/4/w3.css"
def _print(s):
print(s)
sys.stdout.flush()
def _exit(rc):
if rc != 0:
_print("lib generate failed!")
sys.exit(rc)
def _call(cmd):
_print(cmd)
rc = os.sys... | 757 | 390 |
from pathlib import Path
from source.install import Installer
class Importer():
help_msg = """
Comandi disponibili:
import-ca <ca_cert_path> <ca_key_path> importa un certificato, la sua chiave privata
"""
def __init__(self, args):
# nessun comando
if len(args) == 0:
prin... | 1,705 | 479 |
"""Unit tests for keyer module."""
import pytest
import numpy as np
from enigma.keyer import Keyer
def mock_signal(*args):
"""Mock creation of a binary signal array.
:return: binary array
:rtype: np.ndarray
"""
signal = np.array([1, 0, 1])
return signal
def mock_audio(*args):
"""Return ... | 2,740 | 976 |
from .reference_utils import get_source_genome_reference_file_paths, download_reference_data_from_latest_ensembl, download_grch37_reference_data | 144 | 43 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import yaml
import getpass
ROOTDIR = os.path.dirname(os.path.realpath(__file__))
with open(os.path.join(ROOTDIR, 'config.yaml'), 'r') as f:
CONFIGDATA = yaml.load(f.read(), Loader=yaml.FullLoader)
FILEDIR = CONFIGDATA['folders'][getpass.getuser()]['datpath'... | 333 | 130 |
# Python 3.9.0
# AveragedTimeOfTravel
def AveragedTimeOfTravel(
P1FractionOfPeriodPerPeriod,
P1BPeriod,
P1BDistance,
P1APeriod,
P1ADistance,
P2FractionOfPeriodPerPeriod,
P2BPeriod,
P2BDistance,
P2APeriod,
P2ADistance,
P3FractionOfPeriodPerPeriod,
P3BPeriod,
P3BDi... | 3,859 | 1,288 |
# from NCNet
import shutil
import torch
from torch.autograd import Variable
from os import makedirs, remove
from os.path import exists, join, basename, dirname
import collections
from lib.dataloader import default_collate
def collate_custom(batch):
""" Custom collate function for the Dataset class
* It does... | 3,001 | 974 |
# Do not edit this file directly.
# It was auto-generated by: code/programs/reflexivity/reflexive_refresh
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_file")
def fastIo():
http_archive(
name = "fast_io",
build_file ... | 658 | 323 |
import torch
from src.util.metrics._ssim import ssim
__all__ = ["ssim_per_frame"]
def ssim_per_frame(pred, gt):
assert pred.shape == gt.shape
_, sequence, _, _, _ = pred.shape
SSIM = []
for s in range(sequence):
SSIM.append(ssim(pred[:, s], gt[:, s]).item())
return SSIM
if __name__ ==... | 584 | 238 |
#
# -*- coding: utf-8 -*-
# Copyright 2021 Red Hat
# GNU General Public License v3.0+
# (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
#
from __future__ import absolute_import, division, print_function
__metaclass__ = type
"""
The nxos_logging_global config file.
It is in this file where the current confi... | 7,297 | 2,164 |
ordem = list()
for c in range(0, 5):
n = int(input('Digite um numro: '))
if c == 0 or n > ordem[-1]:
ordem.append(n)
print('Numero adicionado na ultima posição')
else:
pos = 0
while pos < len(ordem):
if n <= ordem[pos]:
ordem.insert(pos, n)
... | 860 | 288 |
import json
import pyaml
import yaml
from lib.util import Util
from lib.parser import Parser
import logging
import traceback
import glob
import os
logging.basicConfig(level=logging.DEBUG)
log = logging.getLogger('NemoParser')
class NemoParser(Parser):
"""Parser methods for nemo project type
"""
def __in... | 1,987 | 574 |
#!/usr/bin/env python3
# testNamedTuples.py
""" Test named tuples. """
import unittest
from collections import namedtuple
class TestNamedTuples(unittest.TestCase):
""" Test behavior of named tuples. """
def test_functionality(self):
"""
Nested named tuples work more or less as expected. L... | 2,375 | 789 |
import requests
from bs4 import BeautifulSoup
import json
def get_projects(github_user, query):
URL = f"https://github.com/{github_user}?tab=repositories&q={query}&type=source"
page = requests.get(URL)
soup = BeautifulSoup(page.content, "html.parser")
projects = soup.body.find("ul", {"data-filterable... | 1,234 | 393 |
codigos = [100, 101, 102, 103, 104, 105]
comidas = ['Cachorro Quente', 'Bauru Simples', 'Bauru com ovo', 'Hamburguer', 'ChesseBurguer', 'Refrigerante']
precos = [1.20, 1.30, 1.50, 1.20, 1.30, 1.0]
codigo = True
n_pedido = 1
pedido = []
while codigo != 0:
print("\nPedido n°", n_pedido)
codigo = int(input("Digit... | 971 | 416 |
from torch.utils.data import DataLoader
from torchvision import transforms
import torchvision.datasets as datasets
from torchvision.transforms import ToTensor
from transformations.image_random_crop import ImageRandomCropFactory
from transformations.image_resize import ImageResize
from transformations.image_to_ten... | 1,587 | 471 |
# coding: utf-8
"""
rokka.io
digital image processing done right. [Documentation](https://rokka.io/documentation). [Changelog](https://api.rokka.io/changelog.md). # noqa: E501
OpenAPI spec version: 1.0.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ impo... | 3,944 | 1,244 |
import json
import dash
import dash_cytoscape as cyto
import dash_html_components as html
from dash.dependencies import Input, Output
# Dashインスタンスの生成
app = dash.Dash(__name__)
# ネットワークの構成要素の定義
elements = [
# ノードの定義
{"data": {"id": "A", "name": "Alice", "age": 14},},
{"data": {"id": "B", "name": "Bob", "a... | 1,843 | 840 |
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
from aws_cdk.aws_ec2 import SubnetConfiguration, SubnetType
# Subnets for undistinguished render farm back-end infrastructure
INFRASTRUCTURE = SubnetConfiguration(
name='Infrastructure',
subnet_type=Sub... | 1,902 | 663 |
from unittest import TestCase
from ghgi.origin import Origin
from ghgi.reference import Reference
class TestOrigin(TestCase):
def test_origins_valid(self):
try:
Origin.validate()
except:
self.fail('Origins failed to validate')
def test_origins_meta(self):
# m... | 1,591 | 408 |
# this script reads the data into a parquet format.
# we specify types to make the data "cleaner"
import pandas as dd
print("converting bureau balance")
bureau_balance = dd.read_csv('data/bureau_balance.csv')
bureau_balance['STATUS'] = bureau_balance.STATUS.astype('category')
bureau_balance.to_parquet('raw_data/burea... | 4,998 | 1,868 |
"""Solution to an exercise from
Think Python: An Introduction to Software Design
Copyright 2010 Allen B. Downey
License: GNU GPLv3 http://www.gnu.org/licenses/gpl.html
This program requires Gui.py, which is part of
Swampy; you can download it from thinkpython.com/swampy.
"""
import os, sys
from swampy.Gui import *
... | 676 | 228 |
from setuptools import setup, find_packages
setup(
name="keras-deeplab-v3-plus",
version="1.0",
packages=["deeplab"],
install_requires=["tensorflow>2.0.0"]
)
| 176 | 71 |
from django.core.exceptions import PermissionDenied
from django.http import Http404
from rest_framework import exceptions, metadata
from rest_framework.request import clone_request
class ActionMeta(metadata.SimpleMetadata):
"""
Metadata class for determining metadata based on the used serializer.
"""
... | 1,742 | 410 |
import math
import os
import random
import torch
from tensorboardX import SummaryWriter
from torch import nn
from torch.autograd import Variable
from torch.backends import cudnn
from torch.optim import Adam
from tqdm import tqdm
from memory import ReplayMemory
from utils import process_state
class DQAgent:
"""
... | 10,051 | 2,822 |
from pymongo import MongoClient
from config import config
import os
import urllib.parse
def upload_to_mongodb(timeline, db, coolections):
client = MongoClient(os.environ.get('mongodb_connect_string'))
db = client[db]
mongo_timeline_collection = db[coolections]
mongo_timeline_collection.delete_many({})
... | 457 | 146 |
# -*- coding: utf-8 -*-
#
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
from typing import Dict
# -- Path setup -----------------------------------... | 8,968 | 2,658 |
from fastapi import APIRouter, status
from rdkit.Chem import MolFromSmiles, RDKFingerprint
from rdkit.DataStructs import FingerprintSimilarity, CreateFromBitString, BulkTanimotoSimilarity
from app import main, schemas
smiles_router = APIRouter()
@smiles_router.post("/add-to-hash", status_code=status.HTTP_201_CREATE... | 1,501 | 526 |
from django.urls import path
from .views import (
create_booking,
generate_payment,
mark_booking_as_error,
register_booking_event,
get_booking_by_session,
)
app_name = 'bookings'
urlpatterns = [
path(r'generate/payment/', generate_payment, name='generate-payment'),
path(r'create/booking/'... | 730 | 254 |
import numpy as np
import pdb
class BaselineAgent():
def __init__(self, mdp):
self.mdp = mdp
self.DECELERATE = -4. # in actions [-2., -1., 0, 1., 2.]
self.ACCELERATE = 1 # in actions [-2., -1., 0, 1., 2.]
def act(self, state):
ttc, _ = self.mdp._get_smallest_TTC(state)
if ttc <= 10:
return self.DECELER... | 358 | 174 |
#!/usr/bin/python
#
# Copyright 2016 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 24,300 | 7,531 |
import chromedriver_binary # これは必ず入れる
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import os
import time
import yaml
import datetime
import numpy as np
import textwrap
from bs4 import BeautifulSoup
import requests
from fastprogress import progress_bar
import slackweb
import war... | 5,013 | 1,854 |
import logging
import sys
import xarray as xr # http://xarray.pydata.org/
from metpy.units import units
import metpy.calc as mpcalc
from czml3 import Packet
from czml3.properties import (
# Billboard,
# Clock,
Color,
# Label,
# Point,
# Material,
# Model,
# ViewFrom,
# Orientation... | 5,354 | 1,621 |
from marshmallow import Schema
from marshmallow.fields import String
from marshmallow.validate import Length
class AuthenticateSchema(Schema):
email = String(required=True)
password = String(
required=True,
load_only=True,
validate=(
Length(min=8, max=255)
),
... | 366 | 111 |
from tensorflow.keras.layers import Input, Add, Dropout, Permute, add, concatenate, UpSampling2D
from tensorflow.keras.layers import Convolution2D, ZeroPadding2D, MaxPooling2D, Cropping2D, Conv2D, BatchNormalization
from tensorflow.compat.v1.layers import conv2d_transpose
from tensorflow.keras.models import Model
from ... | 4,616 | 1,771 |
# Hint: You may not need all of these. Remove the unused functions.
from hashtables import (HashTable,
hash_table_insert,
hash_table_remove,
hash_table_retrieve,
hash_table_resize)
class Ticket:
def __init__(self, s... | 981 | 296 |
#!/usr/bin/env python
# pylint: disable=bad-whitespace, line-too-long
'''User interface submodule for dGraph scene description module based on glfw
David Dunn
Feb 2017 - created
ALL UNITS ARE IN METRIC
ie 1 cm = .01
www.qenops.com
'''
__author__ = ('David Dunn')
__version__ = '1.6'
__all__ = []
from dGraph.ui... | 2,546 | 875 |
import abc
import asyncio
import fnmatch
from abc import ABC
from collections import defaultdict
from dataclasses import dataclass
from typing import Dict, List, Tuple
@dataclass
class Notification:
topic: str
subject_id: str
data: dict
class Handler(ABC):
@abc.abstractmethod
async def handle(se... | 1,855 | 520 |
from django.urls import reverse
from social_django.models import UserSocialAuth
from rest_framework.test import APITestCase
from ...users.models import User
from ...changeset.tests.modelfactories import SuspicionReasonsFactory
from ..models import ChallengeIntegration
class TestChallengeIntegrationListCreateView(AP... | 8,106 | 2,481 |
import random
import cv2
import numpy as np
import torch
from torchvision.transforms import RandomApply, Compose
class PrepareImageAndMask(object):
"""Prepare images and masks like fixing channel numbers."""
def __call__(self, data):
img = data['input']
img = img[:, :, :3] # max 3 channels
... | 12,475 | 4,146 |
import re
import os
# import shutil
import sys
import tempfile
import hashlib
# import sys
import json
from operator import itemgetter
from bdscan import classComponent, classNugetComponent, classNpmComponent, classMavenComponent, classPyPiComponent, \
classConanComponent, classCargoComponent, classHexComponent, c... | 21,391 | 5,977 |
from django.db import models
from django.utils.translation import gettext as _
class QuestionCase(models.Model):
input = models.TextField(
_('Question Case\'s Input'),
)
output = models.TextField(
_('Question Case\'s Output'),
)
question = models.ForeignKey(
'questions.Qu... | 464 | 138 |
from django.db import models
from django.contrib.auth import get_user_model
from django.utils import timezone
# Saving media locally is not a good practice
# for a big social network actually. GoogleCloud or AWS
# migth be a better alternative
def get_user_image_path(instance, filename):
return f'users/{instanc... | 1,334 | 418 |
# ABC104b
import sys
input = sys.stdin.readline
sys.setrecursionlimit(10**6)
s = input()[:-1]
#print(s.count('C', 2, -1))
if (s[0] != 'A' or s.count('C', 2, -1) != 1):
print('WA')
# print('hi')
exit()
cPos = s.find('C', 2, -1)
if (s[1:cPos].islower() and s[cPos + 1:].islower()):
# print('hi')
print... | 350 | 171 |
import json
from tqdm import tqdm
import re
from sys import argv
f = open(argv[1])
data = f.read()
rows = re.findall('{.*?}',data)
f = open('{}.json'.format(argv[1]),'w')
for row in tqdm(rows):
f.write(row)
f.write('\n')
f.close()
| 242 | 104 |
#!/usr/bin/env python
"""
File Name : s01-make_tree_dataset.py
Author : Max Bernstein
Created On : 2019-07-12
Last Modified : 2019-12-17
Description : A program to prep and rename sequences in order to make tree
anlaysis easier
Dependencies : py-biopython
Usage ... | 2,761 | 909 |
#!/usr/bin/env python3.5
"""Spacecraft made up of Modules used in conjunction with morse for simulation"""
import math
import operator as op
import numpy as np
import jsonpickle as pickler
from .craftmodule import Module as Module
from .scripts import modControl as modCon
_authors_ = ["Mark A Post", "Rebecca Wardle... | 39,391 | 11,883 |
# -*- coding: utf-8 -*-
"""
Created on Fri Mar 8 14:43:01 2019
@author: astar
"""
import random
import math
import matplotlib.pyplot as plt
from time import clock
def generate_random_nodes(size):
return [(random.uniform(0, size), random.uniform(0, size)) for i in range(size)]
def read_map(source):
with ... | 3,344 | 1,232 |
import bs4
import json
import os
import re
import requests
import sqlite3
from . import renderer
def get_webpage(*args, **kwargs):
""" get_webpage(...) -- request webpage content / text """
return requests.get(*args, **kwargs).text.encode('ISO-8859-1').decode('utf-8')
def map_num(s):
""" map_num(str) --... | 5,625 | 2,067 |
import os
from subprocess import getstatusoutput as cmd
from __main__ import args
def clean_env():
for var in [e for e in os.environ.keys() if e.startswith("_SCRAM_SYSVAR_")]:
val = os.environ[var]
del os.environ[var]
var = var[14:]
if val:
os.environ[var] = val
... | 423 | 142 |
def _bind_context(function):
"""
Lifts function from ``RequiresContext`` for better composition.
In other words, it modifies the function's
signature from: ``a -> RequiresContext[env, b]`` to:
``Container[env, a, c]`` -> ``Container[env, b, c]``
.. code:: python
>>> from returns.conte... | 952 | 277 |
import discord
from discord.ext import commands
import sys
def mods_or_owner():
"""
Check that the user has the correct role to execute a command
"""
def predicate(ctx):
return commands.check_any(commands.is_owner(), commands.has_role("Moderator"))
return commands.check(predicate)
class ... | 2,112 | 641 |
import modelexp
from modelexp.experiments.sas import Saxs
from modelexp.models.sas import Cube
import numpy as np
import random
app = modelexp.Cli()
app.setExperiment(Saxs)
modelRef = app.setModel(Cube)
modelRef.addModel(np.linspace(1e-2, 0.5, 300))
modelRef.setParam('a', 50)
modelRef.setParam('sldCube', 45e-6)
mode... | 815 | 374 |
import os
from conda_build.metadata import MetaData
import requests
import hashlib
import tarfile
import tempfile
from glob import glob
from shutil import move, copy
from os.path import join, normpath, dirname
from os import makedirs, getenv
from sys import exit
import patch
import re
def get_tar_xz(url, md5):
tm... | 3,621 | 1,264 |
import argparse
import os
import torch
import numpy as np
from cyolo_score_following.dataset import load_dataset, collate_wrapper, iterate_dataset, CLASS_MAPPING
from cyolo_score_following.utils.data_utils import FPS
from cyolo_score_following.models.yolo import load_pretrained_model
from torch.utils.data import Dat... | 4,404 | 1,437 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""segnet package file tf_record
Segmentation_base_class -> SegmentationInput -> SegmentationCompile ->
SegmentationSummaries -> Segmentation_model_utils -> Segmentation_train
"""
from datetime import datetime
from tqdm import trange
from ..net_utils import ScoreRecor... | 16,344 | 4,897 |
from test_dali import Mat, random, MatOps, Graph
num_examples = 100
example_size = 3
iterations = 150
lr = 0.01
X = random.uniform(
0.0,
1.0 / example_size,
size=(num_examples, example_size)
)
ones = Mat.ones((X.shape[1], 1))
Y = X.dot(ones)
X = MatOps.consider_constant(X)
Y = MatOps.consider... | 757 | 307 |
# coding: utf-8
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from legion.sdk.models.base_model_ import Model
from legion.sdk.models import util
class TrainingConfiguration(Model):
"""NOTE: This class is auto generated by th... | 1,717 | 503 |
"""
Functions:
search_gene
find_antibodies
"""
# _search_gene_raw
# _parse_gene_search
#
# _parse_gene_page_keyvalue
# _parse_gene_page_table
# _group_keyvalue_by_antibody
def search_gene(gene_name, wait=5):
# Return a URL or None if gene not found.
import urlparse
html = _search_gene_raw(gene_name, w... | 9,839 | 3,304 |
import os
from src.domain.ErrorTypes import ErrorTypes
from src.utils.code_generation import CodeGenerationUtils
from src.validity import IncomingEdgeValidityChecker
# Add other join options as well
# How about join cascades
# Add necessary checks for stream-stream, stream-batch joins...
# Note that for stream-stati... | 1,628 | 503 |
## Automatic type case and broadcast
import pyOcean_cpu as ocean
import sys
def exceptionMsg() :
print("Expected error: %s" % str(sys.exc_info()[1]))
def failTest(command) :
try :
eval(command)
except :
exceptionMsg()
a = ocean.int16([1,2,3])
b = ocean.float([1])
print(a+b)
ocean.setAutoTypec... | 464 | 201 |
from setuptools import setup
with open("README.md", "r") as f:
long_description = f.read()
setup(name='nbquestions',
version='0.0.1',
description='Helper functions for creating questions',
long_description=long_description,
long_description_content_type="text/markdown",
url='http://g... | 502 | 155 |