content stringlengths 0 894k | type stringclasses 2
values |
|---|---|
import datetime as dt
from pathlib import Path
import uuid
from typing import Dict, Any, List, Callable
import numpy as np
import pandas as pd
Row = Dict[str, Any]
def generate_timestamp(color: str) -> str:
if color == "red":
weights = np.ones(12)
else:
weights = np.concatenate([np.ones(9)... | python |
from flask import current_app, g
from werkzeug.local import LocalProxy
from flask_pymongo import PyMongo
import shortuuid
def get_db():
"""
Configuration method to return db instance
"""
db = getattr(g, "_database", None)
if db is None:
db = g._database = PyMongo(current_app).db
return... | python |
import gi
gi.require_version('Gst', '1.0')
from gi.repository import Gst
import math
from abc import ABC, abstractmethod
MAX_BUFFERS = 100
class VideoFrame:
def __init__(self, width, height, data=None):
self.width = width
self.height = height
if data is None:
self.data = b'\x... | python |
import json
import os
import re
from pyaofit import *
class campaignfile(campaign):
@classmethod
def openFile(cls, campaign_filename):
with open(campaign_filename) as campaign_file:
campaign_dict = json.load(campaign_file)
campaign_name = os.path.splitext(os.path.basename(campaign_filename))[0]
campaign_pr... | python |
from django import forms
from accounts.models import Profile
class ProfileForm(forms.ModelForm):
profile_picture = forms.ImageField(required=False, \
error_messages ={'invalid':("Image files only")},\
widget=forms.FileInput)
class Meta:
model = Profile
fields = ['profile_picture','... | python |
# coding: utf-8
from django.db import models, transaction
from django.utils.translation import ugettext as _
from grappelli.fields import PositionField
ITEM_CATEGORY_CHOICES = (
('1', _('internal')),
('2', _('external')),
)
class Navigation(models.Model):
"""
Sidebar-Navigation on the Admin Index-Si... | python |
import simpy
import sys
sys.path
import random
import numpy as np
import torch
from tabulate import tabulate
import sequencing
import routing
class machine:
def __init__(self, env, index, *args, **kwargs):
# initialize the environment of simulation
self.env = env
self.m_idx = ... | python |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import division, print_function, absolute_import
import argparse
import logging
logging.basicConfig(
level='DEBUG', format='%(asctime)s|%(name)s|%(levelname)s|%(message)s')
logger = logging.getLogger(__name__)
def main(args):
logger.debug(args)
... | python |
import numpy as np
import scipy as sp
import scipy.linalg
import numba
import time
from ..local_tree import LocalTree
import sys
def fake_print(*args, **kwargs):
pass
def myprint(*args, **kwargs):
print(*args, **kwargs)
sys.stdout.flush()
def get_print_function(verbose):
return myprint if verbose else ... | python |
from huobi.client.trade import TradeClient
from huobi.constant import *
from huobi.utils import *
symbol = "htusdt"
trade_client = TradeClient(api_key=g_api_key, secret_key=g_secret_key)
list_obj = trade_client.get_orders(symbol=symbol, order_state=OrderState.FILLED,
order_type=Order... | python |
print("/" * 51) | python |
#!/usr/bin/env python3
PKG = 'lg_mirror'
NAME = 'test_touch_router'
import os
import rospy
import unittest
from lg_mirror.constants import MIRROR_ACTIVITY_TYPE
from lg_msg_defs.msg import StringArray
from interactivespaces_msgs.msg import GenericMessage
from lg_common.test_helpers import gen_touch_window
from lg_com... | python |
import autograd as ag
import click
import copy
import numpy as np
import logging
import pickle
from sklearn.model_selection import train_test_split
from sklearn.metrics import roc_auc_score
from sklearn.preprocessing import RobustScaler
from sklearn.utils import check_random_state
from recnn.preprocessing import rewr... | python |
# Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmcv.runner import BaseModule, Sequential
import mmocr.utils as utils
from mmocr.models.builder import BACKBONES
from mmocr.models.textrecog.layers import BasicBlock
@BACKBONES.register_module()
class ResNetABI(BaseModule):
"""Implement R... | python |
import numpy as np
from sklearn.preprocessing import MinMaxScaler, StandardScaler
from sklearn.cross_validation import train_test_split
import theanets
import climate
climate.enable_default_logging()
X_orig = np.load('/Users/bzamecnik/Documents/music-processing/music-processing-experiments/c-scale-piano_spectrogram_2... | python |
from django.shortcuts import render
from django.shortcuts import redirect
from django.urls import reverse
from django.core.handlers.wsgi import WSGIRequest
from tool.session import *
from tool.struct import *
from tool.check import *
from config import log
from user.models import User
# from books.views import
# Cr... | python |
from django.apps import AppConfig, apps
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
class WagtailAPIAppConfig(AppConfig):
name = 'wagtail.contrib.wagtailapi'
label = 'wagtailapi_v1'
verbose_name = "Wagtail API"
def ready(self):
# Install cache purg... | python |
#!/usr/bin/env python3
import os, filecmp
from ccjtools import ccj_make
def test_mcux():
"""Produce compilation database from MCUExpresso build log, check if as expected"""
projectDir = '/home/langrind/Documents/MCUXpresso_11.0.1_2563/workspace/evkmimxrt1064_lwip_ping_bm'
existingFile = 'tests/mcux... | python |
# ----------------------------------------------------------------------------
# Title: Scientific Visualisation - Python & Matplotlib
# Author: Nicolas P. Rougier
# License: BSD
# ----------------------------------------------------------------------------
# Defaults settings / Custom defaults
# -------------------... | python |
x= int(input())
if x>=1 and x<=100:
for y in range(0,x):
S = input()[::-1]
if len(S)<=1000:
print(S)
| python |
import os
def list_files_absolute(start_dir, extensions=None, ignore_empty=False):
start_dir = os.path.expanduser(start_dir)
return _list_files(start_dir, start_dir, extensions, ignore_empty=ignore_empty)
def list_files_relative(start_dir, extensions=None, ignore_empty=False):
start_dir = os.path.expand... | python |
from torch.nn import functional as F
class TensorResize():
def __init__(self, img_size):
self.img_size = img_size
def __call__(self, img):
# XXX interpolate first dim is a batch dim
return F.interpolate(img.unsqueeze(0), self.img_size, mode='bilinear')[0]
def __repr__(self):
... | python |
import argparse
import os
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim as optim
from torch.utils.data import DataLoader
from torch.autograd import Variable
import torch.nn.functional as F
import numpy as np
import time
from tensorboardX ... | python |
import os
from subprocess import PIPE, run
import time
thisdir = os.path.dirname(__file__)
version_c = os.path.join(thisdir, 'Src', 'versions.c')
git = run(['git', 'describe', '--dirty', '--always', '--tags'], check=True, stdout=PIPE)
revision = git.stdout.decode('ascii').strip()
with open(version_c, 'w') ... | python |
import datetime
import pickle as pkl
import time
import cv2
import numpy as np
import save_dice_traj
import serial
from testbench_control import TestBench
# from notify_run import Notify
side_camera_index = 2
tb_camera_index = 0
tb = TestBench('/dev/ttyACM0', tb_camera_index, side_camera_index)
resetter = serial.Se... | python |
import csv
from decimal import Decimal
from mkt.prices.models import Price, PriceCurrency
def update(tiers):
"""
Updates the prices and price currency objects based on the tiers.
Tiers should be a list containing a dictionary of currency / value pairs.
The value of US is required so that we can look... | python |
#!/usr/bin/python
import unittest
import sys
import autocertkit.utils
class DevTestCase(unittest.TestCase):
"""Subclass unittest for extended setup/tear down
functionality"""
session = "nonexistent"
config = {}
@classmethod
def setUpClass(cls):
# Read user config from file
... | python |
import logging
import numpy as np
from scipy.special import jv
from aspire.basis import FBBasisMixin, SteerableBasis2D
from aspire.basis.basis_utils import unique_coords_nd
from aspire.image import Image
from aspire.utils import complex_type, real_type, roll_dim, unroll_dim
from aspire.utils.matlab_compat import m_fl... | python |
#! /usr/bin/python3
import os
import sys
import argparse
import time
import signal
from ivy.std_api import *
import logging
PPRZ_HOME = os.getenv("PAPARAZZI_HOME", os.path.normpath(os.path.join(os.path.dirname(os.path.abspath(__file__)), '../../../')))
sys.path.append(PPRZ_HOME + "/var/lib/python")
from pprzlink.iv... | python |
# Program to generate random account names
# Start simple. Just considering distribution of consonants and
# vowels first. And then look into including the other arrays.
# Compare which will give better results. Just distribution of letters?
# Or taking into account other rules and distribution of other morphemes :)
... | python |
from __future__ import unicode_literals
from cradmin_legacy.crispylayouts import CradminSubmitButton
class BulkFileUploadSubmit(CradminSubmitButton):
template = 'cradmin_legacy/apps/cradmin_temporaryfileuploadstore/bulkfileupload-submit.django.html'
extra_button_attributes = {
'cradmin-legacy-bulkfile... | python |
# coding:utf-8
import os
import timeit
import tensorflow as tf
from tensorflow.python.keras.api._v2.keras import backend as K
from core.get_model import create_EEGNet, create_TSGLEEGNet
from core.training import crossValidate, gridSearch
from core.dataloaders import RawDataloader
from core.generators import RawGenerat... | python |
"""Manipulate tem variants."""
import os
import sys
from tem import util, var
from tem.cli import common as cli
from .common import print_cli_err
def setup_parser(p):
cli.add_general_options(p)
p.add_argument("variants", nargs="*", help="set the active variant")
mutex = p.add_mutually_exclusive_group()... | python |
import os
import pathlib
import random
import json
import kinpy as kp
import numpy as np
from tests.test_urdf_parser import (
urdf_path_to_json_path,
PRECOMPUTED_KINEMATICS_DIR_NAME,
URDF_EXAMPLES_DIR
)
def initialize_state(robot):
"""Creates a dictionary whose entries each correspond ... | python |
"""
Object representation of features. Includes an abstract feature class that is also used by transcripts.
Each object is capable of exporting itself to BED and GFF3.
"""
from typing import Optional, Any, Dict, List, Set, Iterable, Hashable
from uuid import UUID
from inscripta.biocantor.exc import (
EmptyLocatio... | python |
from django.urls import url
from .views import SignUpView,ProfilePageView, ProfileEditPageView
urlpatterns = [
url(r'', SignUpView.as_view(), name='signup'),
url(r'profile/$', ProfilePageView.as_view(), name='profile'),
url(r'profile_edit/$', ProfileEditPageView, name='profile_edit')
] | python |
#!/usr/bin/python
import numpy as np
import theano
import theano.tensor as T
import reberGrammar
dtype = theano.config.floatX
# SET the random number generator's seeds for consistency
SEED = 123
np.random.seed(SEED)
# refer to the tutorial
# http://christianherta.de/lehre/dataScience/machineLearning/neuralNetworks/... | python |
import os
import sys
import time
import json
import h5py
import argparse
import librosa
import numpy as np
from tqdm import tqdm
from glob import glob
from typing import Any
from tf_lite.filter import Filter
from tf_lite.tf_lite import TFLiteModel
import webrtcvad
class Dataset_Filter:
def __init__(self,
... | python |
import sys
import hmac
import time
import crypt
import hashlib
import sqlite3
import ConfigParser
from flask import session, render_template, g, flash, redirect, url_for, request, jsonify
"""
cgroup_ext is a data structure where for each input of edit.html we have an array with:
position 0: the lxc container opt... | python |
import numpy as np
import pandas as pd
# generate a daily signal covering one year 2016 in a pandas dataframe
N = 365
np.random.seed(seed=1960)
df_train = pd.DataFrame({"Date" : pd.date_range(start="2016-01-25", periods=N, freq='D'),
"Signal" : (np.arange(N)//40 + np.arange(N) % 21 + np.random... | python |
import warnings
from asl_data import SinglesData
def recognize(models: dict, test_set: SinglesData):
""" Recognize test word sequences from word models set
:param models: dict of trained models
{'SOMEWORD': GaussianHMM model object, 'SOMEOTHERWORD': GaussianHMM model object, ...}
:param test_set: SinglesData obj... | python |
from django.template.loaders.app_directories import Loader as AppDirectoriesLoader
from .mixins import TemplateMinifierMixin
class Loader(TemplateMinifierMixin, AppDirectoriesLoader):
pass
| python |
import pygame
from pygame import mixer
from pygame import time
from pygame.locals import *
import random
pygame.mixer.pre_init(44100, -16, 2, 512)
mixer.init()
pygame.font.init()
# define fps
clock = pygame.time.Clock()
fps = 60
screen_width = 600
screen_height = 800
screen = pygame.display.set_mode((screen_width,... | python |
if __name__ == '__main__':
n = int(input())
numbers = [None]*(n+1)
a = list(map(int,input().split()))
for i in a:
numbers[i] = True
for i in range(1,n+1):
if numbers[i] is None:
print(i) | python |
import zmq
import uuid
from random import randint
from common.settings import *
context = zmq.Context()
servers = SERVERS_LOCAL
connections = []
for i in xrange(N_SERVERS):
socket = context.socket(zmq.REQ)
socket.connect("tcp://" + servers[i]["client2server"])
connections.append(socket)
for i in range(6... | python |
#!/usr/bin/env python
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import numpy as np
plt.rcParams.update({'font.size': 16})
dt = 0.02
dims = 201, 201
x = range(-100, 101)
for i in range(0,1100, 100):
input_file = 'tsunami_h_' + '%4.4i' % i + '.dat'
print('Plotting ' + input_file)
field ... | python |
import filecmp
import os.path
class dircmp(filecmp.dircmp):
"""
Compare the content of dir1 and dir2. In contrast with filecmp.dircmp, this
subclass compares the content of files with the same path.
"""
def phase3(self):
"""
Find out differences between common files.
Ensure ... | python |
wrf_dir="/home/WRFV4.1.3/run_tutorial/"
wrf_input_file="wrfinput_d01"
wrf_bdy_file="wrfbdy_d01"
wrf_met_dir="/home/WPSV4.1.3/run_tutorial/"
wrf_met_files="met_em.d01.2010*"
mera_dir="/home/Merra2_data/"
mera_files="svc_MERRA2_300.inst3_3d_aer_Nv.2010*"
do_IC=True
do_BC=True
#########################################... | python |
import pathlib
import numpy as np
from scipy import sparse
import pandas as pd
from sklearn.preprocessing import normalize
from sklearn.utils.extmath import safe_sparse_dot
from nilearn import image
from neuroquery.img_utils import get_masker
from neuroquery import tokenization, smoothed_regression, ridge
_MAX_SIMIL... | python |
def dutch(arr):
low = 0
mid = 0
high = len(arr) - 1
while mid <= high:
if arr[mid] == 0:
arr[low], arr[mid] = arr[mid], arr[low]
low += 1
mid += 1
elif arr[mid] == 1:
mid += 1
else:
arr[mid], arr[high] = arr[high], arr[m... | python |
# find an specific element of a list
import numpy as np
import matplotlib.pyplot as plt
from qiskit import QuantumCircuit, transpile
from qiskit.providers.aer import QasmSimulator
from qiskit.visualization import plot_histogram
# Use Aer's qasm_simulator
simulator = QasmSimulator()
# Create a oracle operator
oracle ... | python |
import re
regex = r"\*\*(?P<bold>\S+)\*\*|\*(?P<italic>\S+)\*|==(?P<wrap>\S+)==|\[(?P<url>\S+\]\(\S+)\)"
p = re.compile(regex, re.MULTILINE)
func_dict = {
'wrap': lambda x: (f"<mark>{x}</mark>", f"=={x}=="),
'bold': lambda x: (f"<b>{x}</b>", f"**{x}**"),
'italic': lambda x: (f"<i>{x}</i>", f"*{x}*"),
... | python |
import numpy as np
import math
import rospy
from tf.transformations import quaternion_from_euler, euler_from_quaternion
from geometry_msgs.msg import Quaternion
from geometry_msgs.msg import Point, PoseArray
from visualization_msgs.msg import Marker
from visualization_msgs.msg import MarkerArray
from ackermann_msgs.m... | python |
from sqlalchemy.orm.collections import attribute_mapped_collection
from emonitor.extensions import db
from emonitor.modules.alarmkeys.alarmkeycar import AlarmkeyCars
from emonitor.modules.alarmkeys.alarmkeyset import AlarmkeySet
class Alarmkey(db.Model):
"""Alarmkey class"""
__tablename__ = 'alarmkeys'
__... | python |
n1 = float(input('Nota 1: '))
n2 = float(input('Nota 2: '))
m = (n1 + n2) / 2
if m < 5:
print('REPROVADO :(')
elif m < 7:
print('RECUPERAÇÃO...')
else:
print('APROVADO!! :D')
| python |
'''
prompt = "If you tell us who you are, we can personalize the messages you see"
prompt += "\nWhat is your first name: "
name = input(prompt)
print("\nHello, " + name + "!\n")
age = int(input("how old are you? "))
print(age, end="\n\n")
height = float(input("How tall are you, in meters? "))
if height >= 1.50:
... | python |
'''
Get the residue depth for each residue in BioLiP
run as:
python -m ResidueDepth.Controller
'''
from Bio.PDB import PDBParser
from Bio.PDB import Selection
from Bio.PDB.ResidueDepth import get_surface, residue_depth, ca_depth
from Bio.PDB.Polypeptide import is_aa
import os
from AABindingSiteDist.Controll... | python |
# Copyright (c) 2012 NetApp, Inc. All rights reserved.
# Copyright (c) 2014 Ben Swartzlander. All rights reserved.
# Copyright (c) 2014 Navneet Singh. All rights reserved.
# Copyright (c) 2014 Clinton Knight. All rights reserved.
# Copyright (c) 2015 Tom Barron. All rights reserved.
# Copyright (c) 2015 Alex Meade... | python |
# -*- coding: utf-8 -*-
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('transmittals', '0047_auto_20160224_1220'),
]
operations = [
migrations.AlterField(
model_name='outgoingtransmittal',
name='latest_revision'... | python |
"""
一键编译测试版本的app给qa：
1、改库版本号为测试版本号
2、改app的库依赖为测试版本号依赖
3、编库
4、编app
"""
import json
import sys
from base import sb_nexus, sb_jenkins, sb_config, sb_gitlab
def _print_task(task):
print(f'apps: {str(task["apps"])}')
print(f'libs: {str(task["libs"])}')
print(f'branch: {task["branch"]}')
print(f'release_n... | python |
from typing import Any
from unittest.mock import MagicMock, patch
import pytest
from operatorcert import pyxis
from requests import HTTPError, Response
def test_is_internal(monkeypatch: Any) -> None:
assert not pyxis.is_internal()
monkeypatch.setenv("PYXIS_CERT_PATH", "/path/to/cert.pem")
monkeypatch.se... | python |
from pybuilder.core import use_plugin, init
use_plugin("python.core")
use_plugin("python.unittest")
default_task = "publish"
@init
def initialize(project):
project.version = "0.1.0.SNAPSHOT"
| python |
from drpg.sync import DrpgSync
__all__ = ["DrpgSync"]
__version__ = "2021.11.0"
| python |
import logging
from django.contrib.auth.decorators import login_required
from django.contrib.auth.signals import user_logged_in
from django.core.urlresolvers import reverse
from django.dispatch import receiver
from django.http import HttpResponse, Http404
from django.shortcuts import redirect, render
from django.utils... | python |
import unittest
from skills import (
Match,
Matches,
Team,
)
from skills.glicko import (
GlickoCalculator,
GlickoGameInfo
)
class CalculatorTests(object):
ERROR_TOLERANCE_RATING = 0.085
ERROR_TOLERANCE_MATCH_QUALITY = 0.0005
def assertAlmostEqual(self, first, second, places, msg, delta):
... | python |
#! /bin/python
__author__ = "glender"
__copyright__ = "Copyright (c) 2018 glender"
__credits__ = [ "glender" ]
__license__ = "MIT"
__version__ = "0.1"
__maintainer__ = "glender"
__email__ = "None"
__status__ = "Production"
DEBUG = False
alphabet="ABCDEFGHIJKLMNOPQRSTUVWXYZ"
message = ("6340 8309 14010")
for i in me... | python |
from __future__ import print_function
import sys
import os
import sysconfig
import filecmp
def diff_q(first_file, second_file):
"""Simulate call to POSIX diff with -q argument"""
if not filecmp.cmp(first_file, second_file, shallow=False):
print("Files %s and %s differ" % (first_file, second_file),
... | python |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import os
import random
from collections import namedtuple
import re
import numpy as np
import tensorflow as tf
import csv
import tokenization
from mask import Mask, PinyinConfusionSet, Strok... | python |
"""Calculate autosome ratios for each cell.
This script calculates the {X, 4, and Y} to autosome ratios for each
individual cell. I consider chromosomes 2L, 2R, 3L, and 3R as autosomes.
1. Pull out target FBgns.
2. Sum the number of raw reads for each chromosome.
3. Normalize totals by the number of genes on each chr... | python |
from django.conf.urls import url
from . import views
urlpatterns = [
url('api/product/search', views.GoodsSearch),
url('api/product/history', views.GetHistory)
] | python |
import logging
import importlib
from volttron.platform.agent import utils
import volttron.pnnl.models.input_names as data_names
_log = logging.getLogger(__name__)
utils.setup_logging()
class ahuchiller(object):
def __init__(self, config, parent, **kwargs):
self.parent = parent
equipment_conf = c... | python |
import sys
sys.path.append('../')
import lcm
import time
from exlcm import ax_control_t
from exlcm import veh_status_t
from exlcm import net_status_t
from exlcm import mode_control_t
from exlcm import eng_toggle_t
lc = lcm.LCM()
test_message = veh_status_t()
test_message.running = True
test_message.rpm = 3110
test_m... | python |
import datetime
import json
import pathlib
import time
import httpx
import xmltodict
import yaml
nyaa_url = 'https://nyaa.si'
transmission_rpc_url = "http://localhost:9091/transmission/rpc"
session_field = 'X-Transmission-Session-Id'
class TransmissionApi():
def __init__(self):
self.restar... | python |
from cedar_settings.default_settings import default_settings
default_settings['assets__default_search_results_per_page'] = ('int', 20) # integer hours.
default_settings['assets__default_asset_source_string'] = ('text', "Miscellaneous")
default_settings['assets__default_files_div_id'] = ('text', "#tab-files")
| python |
# Copyright (c) 2021, Frappe Technologies Pvt. Ltd. and Contributors
# MIT License. See LICENSE
import click
import frappe
@frappe.whitelist()
def download_pdf(doctype, name, print_format, letterhead=None):
doc = frappe.get_doc(doctype, name)
generator = PrintFormatGenerator(print_format, doc, letterhead)
pdf = g... | python |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import sys
import argparse
import abc
from six import add_metaclass, text_type
import argparse
import re
from mCli.utils import get_resource_classes, Singleton
from mCli.commands.base import Command
@add_metaclass(abc.ABCMeta)
class CommandManager(Singl... | python |
# -*- coding: utf-8 -*-
# Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
This package defines the astrophysics-specific units. They are also
available in the `astropy.units` namespace.
"""
from . import si
from astropy.constants import si as _si
from .core import (UnitBase, def_unit, si_prefixes,... | python |
"""
#########################
Linalg (``utils.linalg``)
#########################
Linear algebra helper routines and wrapper functions for handling sparse
matrices and dense matrices representation.
"""
import sys
import copy
import numpy as np
import scipy
import scipy.sparse as sp
import sci... | python |
import wx
class SimpleSizer(wx.BoxSizer):
def __init__(self, first, second, gap=0, leftHeavy=False, rightHeavy=False, topHeavy=False, bottomHeavy=False):
self.first = first
self.second = second
horizontal = leftHeavy or rightHeavy
vertical = topHeavy or bottomHeavy
assert horizontal or verti... | python |
from bank_account import BankAccount
class User(object):
def __init__(self, username, email_address):
self.name = username # and we use the values passed in to set the name attribute
self.email = email_address # and the email attribute
self.accounts = {
'default': BankAccount(int_rate=0.02, bala... | python |
from boids.code.boids import Boids
import pytest
from os.path import dirname, split, join
import yaml
import numpy as np
config = yaml.load(open(split(dirname(__file__))[0] + '/code/config.yaml'))
def test_bad_boids_regression():
'''
test compares a single position update of the refactored code
to the... | python |
# -*- coding: utf-8 -*-
"""Top-level package for appliapps."""
__author__ = """Lars Malmstroem"""
__email__ = 'lars@malmstroem.net'
__version__ = '0.1.0'
| python |
import socket
from datetime import datetime
import os.path as osp
import huepy as hue
import numpy as np
import torch
from torch.backends import cudnn
from torch.utils.tensorboard import SummaryWriter
import sys
sys.path.append('./')
from configs import args_faster_rcnn_hoim
from lib.datasets import get_data_loader
... | python |
import smtplib
import os
import mimetypes
from email import encoders
from email.mime.base import MIMEBase
from email.mime... | python |
import os
from typing import Union
import sqlite3
from sqlite3 import Error
from coordinates import Coordinates
class SqlHandler:
def __init__(self):
self._database = "data.db"
self._connection = None
self._cursor = None
self.connected = False
def _create_new_database(self) ->... | python |
# -*- coding: utf8 -*-
__description__ = "Pick a random item from a given list of items. The trigger is 'pick'."
__version__ = "1.0"
__author__ = "Dingo"
from core.plugin import Plugin
import re
import random
async def pick(command):
message = " ".join(command.args)
message = message.replace(" and say:", ":... | python |
#! /usr/bin/env python
# -*- coding:UTF-8 -*-
"""
------------------------------------------------------------------------------------------
It is used to get the longest mRNA of gene and filter pep and cds result with a certain length;
usage: python xx.py -i GFF -f FASTA -g out.gff -o out.fa -s species_short_n... | python |
import httpx
group_types = ("group", "supergroup")
http = httpx.AsyncClient(http2=True)
class Permissions:
can_be_edited = "can_be_edited"
delete_messages = "can_delete_messages"
restrict_members = "can_restrict_members"
promote_members = "can_promote_members"
change_info = "can_change_info"
... | python |
#!/usr/bin/python3
from pwn import *
binary = ELF('./dead-canary')
libc = ELF('/lib/x86_64-linux-gnu/libc.so.6')
context.update(arch='amd64',os='linux')
binary.symbols['main'] = 0x400737
offset = 6
libcoffset = 41
#p = process(binary.path)
p = remote('2020.redpwnc.tf', 31744)
# first pass, inf. retries if we blow ... | python |
"""
Typcasting w. Integers & Floats
"""
# Convert these numbers into floats and back. Print out each result as well as its data type.
five = 5
zero = 0
neg_8 = -8
neg_22 = -22
five = float(five)
zero = float(zero)
neg_8 = float(neg_8)
neg_22 = float(neg_22)
print(five, type(five)) # 5.0 <class 'float'>
print(zero,... | python |
from io import StringIO
import json
import streamlit as st
from water_rocket import WaterRocket
def page_introduction(wr: WaterRocket) -> WaterRocket:
st.title("Open Water Rocket")
st.write("""
## Objectives
The goal of this app to provide a simple platform for analysing
wate... | python |
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
class SurfaceClassifier(nn.Module):
def __init__(self, filter_channels, num_views=1, no_residual=True, last_op=None):
super(SurfaceClassifier, self).__init__()
self.filters = []
self.num_views = num_view... | python |
class PushwooshException(Exception):
pass
class PushwooshCommandException(PushwooshException):
pass
class PushwooshNotificationException(PushwooshException):
pass
class PushwooshFilterException(PushwooshException):
pass
class PushwooshFilterInvalidOperatorException(PushwooshFilterException):
... | python |
import socket
from smtplib import SMTPException
from django.core.mail import EmailMessage
from django.template.loader import render_to_string
from django.utils.translation import ugettext_lazy as _
def send_email(instance):
context = {
"user": instance,
"api_key": instance.client.api_key,
}
... | python |
import numpy as np
from scipy.spatial import Delaunay
import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection
class AlphaVisualization:
""" Visualization methods for AlphaShapes class. """
def plot_boundary(self, color='k', ax=None, **kwargs):
"""
Plot boundary of c... | python |
import os.path
import argparse
import json
import yaml
from datetime import datetime
import numpy as np
import plotly.graph_objects as go
import plotly.express as px
import ctypes
import PySimpleGUI as sg
class Stats:
'''Yliluokka, joka sisältää päivämäärät sekä metodin näiden muuttamiseksi oikeaan muotoon ja meto... | python |
from keg_elements.extensions import lazy_gettext as _
def base36_to_int(s):
"""
Convert a base 36 string to an int. Raise ValueError if the input won't fit
into an int.
https://git.io/vydSi
"""
# To prevent overconsumption of server resources, reject any
# base36 string that is longer tha... | python |
from ..data.context import setCurTxn, getCurTxn
from ..data.txn import Transaction
from ..constants import classNameKey, methodNameKey, preHookKey, postHookKey
def captureTxn(args, kwargs):
txn = Transaction()
setCurTxn(txn)
def endTxn(args, kwargs):
txn = getCurTxn()
if txn is None or args is None:
... | python |
from django.contrib.auth.models import User, Group
from django.db import models
from primer.db.models import UUIDField
# Monkey Patch User Model
User.add_to_class('uuid', UUIDField())
User.add_to_class('created', models.DateTimeField(auto_now_add=True, editable = False, blank = True, null = True))
User.add_to_class('m... | python |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
import collections
import os
from contextlib import contextmanager
import six
from python_pachyderm.client.pfs.pfs_pb2 import *
from python_pachyderm.client.pfs.pfs_pb2_grpc import *
BUFFER_SIZE = 3 * 1024 * 1024 # 3MB TODO: Base this on some grpc va... | python |
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