content stringlengths 5 1.05M |
|---|
"""
This script displays the Trace image and the traces in an RC Ginga window.
.. include common links, assuming primary doc root is up one directory
.. include:: ../include/links.rst
"""
from pypeit.scripts import scriptbase
class ChkAlignments(scriptbase.ScriptBase):
@classmethod
def get_parser(cls, widt... |
# -*- coding: utf-8 -*-
import random
import string
import time
from datetime import datetime
from apps.database.session import db
from config import JsonConfig
def get_model(model):
if JsonConfig.get_data('TESTING'):
return model.test_model
return model
def get_token():
random_string = string... |
import json
import os
import pymzml
import pandas as pd
import numpy as np
from tqdm import tqdm
from matchms.importing import load_from_mgf
from pyteomics import mzxml, mzml
import logging
logger = logging.getLogger('msql_fileloading')
def load_data(input_filename, cache=False):
"""
Loading data generically... |
# -*- coding: utf-8 -*-
# Copyright 2021 Cohesity Inc.
import cohesity_management_sdk.models.site_backup_file
import cohesity_management_sdk.models.site_info
class SiteBackupStatus(object):
"""Implementation of the 'SiteBackupStatus' model.
Attributes:
backup_file_vec (list of SiteBackupFile): List ... |
"""
Language resources are defined separately from :class:`Intent` and
:class:`Entity` classes. They are stored as plain YAML files in a `language/`
folder, aside Agent Python modules; this is to be flexible in the relationship
with designers and translators, as well as to allow some degree of automation
when downloadi... |
def intro():
print("*********************************************")
print("* Friends of Seaview Pier *")
print("*********************************************")
print()
def capture_new_member_details(volunteer_locations):
member_details = []
firstname = ""
lastna... |
#!/usr/bin/env python
#
# test_fnirt.py -
#
# Author: Paul McCarthy <pauldmccarthy@gmail.com>
#
import os.path as op
import itertools as it
import numpy as np
import nibabel as nib
import pytest
import fsl.data.image as fslimage
import fsl.utils.tempdir as tempdir
import fsl.data.constants as co... |
import torch
from torch.nn import init
import torch.nn as nn
# =============================================================================
# =============================================================================
# This is a Pytorch implementation of Star Topology Convolution.
# ===============================... |
import boto3
import json
import time
import os
cf = boto3.client('cloudformation')
sns = boto3.client('sns')
waiter = cf.get_waiter('stack_create_complete')
def sendnotification(appname, nonprod_acc, message):
env_name = appname.lower()
sns_arn = "arn:aws:sns:us-east-1:" + nonprod_acc + ":ECSNotifica... |
import torch
import torch.nn as nn
from models.AttnLayers import Attention
class AttnDecoder(nn.Module):
def __init__(self, hidden_size, output_size=1, use_attention=True, attention='tanh'):
super(AttnDecoder, self).__init__()
self.hidden_size = hidden_size
self.output_size = output_size
... |
from typing import List
import re
def valid_line(line: str) -> bool:
"""
行バリデーション
Parameters
----------
line: str
行テキスト
Returns
-------
valid: bool
validであるフラグ
"""
lstriped = line.lstrip()
if len(lstriped) == 0:
return False
if lstriped[0] ==... |
# Copyright 2012 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All Rights Reserved.
#
# Copyright 2012 Nebula, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the... |
## ========================================================================= ##
## Copyright (c) 2019 Agustin Durand Diaz. ##
## This code is licensed under the MIT license. ##
## utils.py ... |
# Copyright (c) 2021 PaddlePaddle Authors. 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 appl... |
numbers = [int(x) for x in input().split()]
print(sorted(numbers)) |
import os, sys
import cv2
import numpy as np
import pandas as pd
import string
import mediapipe as mp
import pickle
from zipfile import ZipFile
from utils import StaticSignProcessor, mp_process_image, generate_dataframe, annotate_image, pred_class_to_letter
# load the model
with open('saved_model.pkl', 'rb') as f:
... |
"""
Asyncio pydispatch (Signal Manager)
This is based on [pyDispatcher](http://pydispatcher.sourceforge.net/) reference
[Django Signals](https://docs.djangoproject.com/en/4.0/topics/signals/) and reference
[scrapy SignalManager](https://docs.scrapy.org/en/latest/topics/signals.html) implementation on
[Asyncio](https:/... |
# By manish.17, contest: ITMO Academy. Двоичный поиск - 2, problem: (D) Children Holiday
# https://codeforces.com/profile/manish.17
m, n = map(int, input().split())
if m == 0:
print(0)
print(*[0]*n)
quit()
a = []
for i in range(n):
t, z, y = map(int, input().split())
a += [[t, z, y]]
alpha, omega ... |
# coding: utf-8
# # created on April Fool's Day 2018
# In[1]:
import os
from pymatgen.io.vasp.sets import MPRelaxSet
from pymatgen import Structure
from Utilities import get_time_str, get_current_firework_from_cal_loc
# In[2]:
def Write_Vasp_POTCAR(cal_loc, structure_filename, workflow):
"""
Write PO... |
from django.contrib.auth.models import AbstractBaseUser, BaseUserManager
from django.db import models
class Organization(models.Model):
name = models.CharField(max_length=255)
class CustomUserWithM2MManager(BaseUserManager):
def create_superuser(self, username, orgs, password):
user = self.model(use... |
import os
from setuptools import setup
def read(filename):
return open(os.path.join(os.path.dirname(__file__), filename)).read()
setup(
name="unitable",
version="0.0.2",
author="Mark Howison",
author_email="mark@howison.org",
url="https://github.com/mhowison/unitable",
keywords... |
from ferrisnose import AppEngineWebTest
from ferris.core.controller import Controller
from ferris.core.messages import Messaging
from ferris.core.ndb import Model, ndb
import json
class Person(Model):
title = ndb.StringProperty(required=True)
content = ndb.TextProperty()
class People(Controller):
class ... |
import soba.visualization.ramen.mapGenerator as ramen
import soba.run
from collections import OrderedDict
from model import SEBAModel
from time import time
import os
import signal
from unittest import TestCase
import json, requests
from jsonschema import validate
import socket
import unittest
import listener
import sy... |
from rest_framework import viewsets
from rest_framework import permissions
from rest_framework.response import Response
from newsfeed.models import Entry
from .renderers import MongoDBJSONRenderer
from .mixins import MongoDBPaginationMixin
class NewsfeedViewset(MongoDBPaginationMixin, viewsets.ViewSet):
renderer... |
"""Tic Tac Toe game using Min-Max algorithm"""
from copy import deepcopy
from tkinter import Button, Tk
from tkinter.font import Font
class Board:
"""Tic Tac Toe Game Board"""
def __init__(self, other=None):
self.player = "X"
self.opponent = "O"
self.empty = "-"
self.size = 3
... |
# coding: utf-8
from common.np import * # import numpy as np
from common.layers import Softmax
class WeightSum:
'''
Encoderの全系列の隠れ状態hs(N, T, H)と
系列ごとの重みを示すアライメントa(N, T)から積和を取り、
現系列の変換に必要な情報を含むコンテキストベクトルc(N, H)を
出力するレイヤ
'''
def __init__(self):
self.params, self.grads = [], []
... |
import argparse
from itertools import chain
import logging
import pickle
from multiprocessing import Pool
from collections import defaultdict
from gilda.grounder import load_gilda_models
from indra_db_lite import get_plaintexts_for_text_ref_ids
from indra_db_lite import get_text_ref_ids_for_agent_text
from .cases i... |
import cv2 as cv
import numpy as np
from time import gmtime, strftime, sleep, time
import logging
import math
# NVIDIA jetson ues the gstreamer pipeline for getting it's data
def gstreamer_pipeline (capture_width=800, capture_height=640, display_width=800, display_height=640, framerate=60, flip_method=0) :
ret... |
#!/usr/bin/python3
import pytest
from brownie.convert import to_bytes
def test_type_bounds():
with pytest.raises(ValueError):
to_bytes("0x00", "bytes0")
with pytest.raises(ValueError):
to_bytes("0x00", "bytes33")
def test_length_bounds():
for i in range(1, 33):
type_ = "bytes" ... |
# -*- coding: utf-8 -*-
import os
import sys
import threading
import time
sys.path.append(os.path.join(os.getcwd(), "Lib"))
from Lib.OCC import BRepPrimAPI
from Lib.aocxchange import step_ocaf
from Lib.OCC.gp import gp_Pnt
from agent import Agent
def __createBlock__(color, step_exporter, position):
agent_box_shap... |
# Copyright (2017-2021)
# The Wormnet project
# Mathias Lechner (mlechner@ist.ac.at)
import numpy as np
import torch.nn as nn
import kerasncp as kncp
from kerasncp.torch import LTCCell
import pytorch_lightning as pl
import torch
import torch.utils.data as data
# nn.Module that unfolds a RNN cell into a sequence
class... |
from __future__ import absolute_import
from .DatabaseConnection import DatabaseConnection
|
import numpy
from matplotlib import pyplot
from matplotlib import colors
from analytic_covariance import calculate_sky_power_spectrum
from analytic_covariance import calculate_beam_power_spectrum_averaged
from analytic_covariance import calculate_beam_power_spectrum
from analytic_covariance import calculate_total_powe... |
from __future__ import division, print_function, absolute_import
import numpy
from rep.estimators import XGBoostClassifier, XGBoostRegressor
from rep.test.test_estimators import check_classifier, check_regression, generate_classification_data
__author__ = 'Alex Rogozhnikov'
def very_basic_xgboost_test():
X, y, ... |
"""
Make Catch pig with two agents.
forked from:
https://github.com/Bigpig4396/Multi-Agent-Reinforcement-Learning-Environment/
tree/master/env_CatchPigs
Thanks to their authors.
"""
# pylint: disable-all
# flake8: noqa
# noqa
import random
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.gridspec i... |
#
# ISC License
#
# Copyright (C) 2021 DS-Homebrew
# Copyright (C) 2021-present lifehackerhansol
#
# Permission to use, copy, modify, and/or distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyright notice and this permission notice appear in all copies.
#
# T... |
"""Test for my functions."""
from functions import *
def test_string_concatenator():
assert string_concatenator('abc', 'def') == 'abcdef'
def test_DNA_to_mRNA_List():
assert DNA_to_mRNA_List('CTGATCG') == ['G', 'A', 'C', 'U', 'A', 'G', 'C']
def test_DNA_to_mRNA():
assert DNA_to_mRNA('CTGA... |
from __future__ import absolute_import
from django.conf import settings
MEDIA_URL = getattr(settings, "MEDIA_URL", "/media/")
ADMIN_URL = getattr(settings, "ADMIN_URL", "/admin/")
STATIC_URL = getattr(settings, "STATIC_URL", "/static/")
|
# Copyright (c) 2001-2004 Twisted Matrix Laboratories.
# See LICENSE for details.
#
from twisted.conch.error import ConchError
from twisted.conch.ssh import channel, connection
from twisted.internet import defer, protocol, reactor
from twisted.python import log
from twisted.spread import banana
import os, stat, pick... |
import re
'''
Step 1: Clean the triple file. In the dbpedia case, we just need the part of resource URI that indicate entity/type/predicate names.
'''
fileName = []#List of triple files to be process
notRdf = open('./notRdf.txt','w')#Record the lines that refers to a type but not rdf:type
for index2,fname in en... |
import netlink
import pprint
import cStringIO
def get_family():
con = netlink.new_generic()
hdr = netlink.new_genlmsg(
{
"cmd": netlink.CTRL_CMD_GETFAMILY,
"version": 0,
"reserved": 0
}
)
payload = netlink.generic_id_... |
## Created by C. Cesarotti (ccesarotti@g.harvard.edu) 04/2019
## Last updated: 04/24/20
##
## Calculates the event isotropy for ring configurations with
## random orientations.
##
#############################
#
import sys
import time
import warnings
import numpy as np
import matplotlib.pylab as plt
import random
from... |
from pymongo import MongoClient
import json
client = MongoClient('localhost', 27017)
db = client['pymongo_test']
cursor = db.pymongo_test
posts = db.posts
# post_data = {
# 'Name': 'Milk',
# 'Quantity': '1',
# 'Expiration Date': '4/03/20'
# }
# result = posts.insert_one(post_data)
# print('One post: {0}'... |
import os.path
import logging
import shutil
import pandas as pd
import numpy as np
import ada.utils.experimentation as xp
class XpResults:
@staticmethod
def from_file(metrics, filepath):
if os.path.exists(filepath):
df = pd.read_csv(filepath, index_col=0)
time_str ... |
import torch
from models.vae import VAE
# lambda_d, lambda_od = 100, 10
def matrix_diag(diagonal):
N = diagonal.shape[-1]
shape = diagonal.shape[:-1] + (N, N)
device, dtype = diagonal.device, diagonal.dtype
result = torch.zeros(shape, dtype=dtype, device=device)
indices = torch.arange(result.num... |
import numpy as np
import re, collections
def get_vocab(filename):
vocab = collections.defaultdict(int)
try:
with open(filename, 'r', encoding='utf-8') as fhand:
for line in fhand:
words = line.strip().split()
for word in words:
vocab[' '.join(... |
#
# Pyserini: Reproducible IR research with sparse and dense representations
#
# 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... |
import xml.sax
from hashlib import md5
def func1():
test_digest = md5("test string").digest()
return test_digest
def func2(): # double vulnerability
test_digesta, test_digestb = md5("test string").digest(), md5("test string2").digest()
return test_digesta, test_digestb
def func3(val):
assert 0 !... |
# !/usr/bin/python
# -*- coding: UTF-8 -*-
from svg.path.path import *
def get_quadratic_coordinate_with_time(t:float, /, *, p0:complex, p1:complex, p2:complex):
if t < 0 or t > 1:
return
points = [p0, p1, p2]
polynomials = [eval("(1-t)**2"), eval("2*t*(1-t)"), eval("t**2")]
return sum([prod * ... |
import numpy as np
import os
import sys
import tensorflow as tf
from model import CVAE
import matplotlib.pyplot as plt
import streamlit as st
@st.cache(allow_output_mutation=True)
def load_model(PATH):
model = CVAE(2, 128)
# Restore the weights
model.load_weights(PATH)
return model
def main():
st... |
import os
import requests
from dotenv import load_dotenv
from fastapi import APIRouter, Depends
import sqlalchemy
from pydantic import BaseModel, SecretStr
from app import config
router = APIRouter()
headers = {'x-rapidapi-key': os.getenv('api_key'),
'x-rapidapi-host': os.getenv('host') }
class RentalLi... |
import random
import time
import my_set
import sys
class Element:
def __init__(self, val: int):
self.val = val
def __hash__(self) -> int:
return self.val
def time_fct(l1, l2, fct):
start = time.time()
output = fct(l1, l2)
# output = timeout(fct, args=(l1, l2), timeout_duration=1... |
# -*- coding: utf-8 -*-
from __future__ import print_function
from __future__ import unicode_literals
import requests
import getpass
from .utils import MyAdapter
from .utils import make_response
try:
r_input = raw_input
except NameError:
r_input = input
DEFAULT_BASE_URL = "https://127.0.0.1:5000/api/v1.0"
... |
from .db import schemas
from typing import List, Optional
from pydantic import BaseModel
class EnrichedUrl(BaseModel):
url: Optional[schemas.Url] = None
stats: List
class RequestMetadata:
def __init__(
self, referer: str = "", os: str = "", browser: str = "", device: str = ""
):
sel... |
from util import *
import yaml
import sys
from connect import create_service
# If modifying these scopes, delete the file token.json.
SCOPES = ['https://www.googleapis.com/auth/gmail.compose']
def main():
if sys.argv[1] == None:
print('To create and send email, include details in YAML file and speci... |
from __future__ import absolute_import
from bokeh.util.dependencies import import_required
pd = import_required('pandas',
'glucose sample data requires Pandas (http://pandas.pydata.org) to be installed')
from os.path import join
from . import _data_dir
data_dir = _data_dir()
data = pd.read_csv(
j... |
#!/usr/bin/python
# Copyright (C) Vladimir Prus 2003. Permission to copy, use, modify, sell and
# distribute this software is granted provided this copyright notice appears in
# all copies. This software is provided "as is" without express or implied
# warranty, and with no claim as to its suitability for any purp... |
def max_word(filename):
"""Return the most frequent word in the file filename."""
freq = {}
for piece in open(filename, encoding = 'UTF-8').read().lower().split(): # is "piece" a line?
# only consider alphabetic characters within this piece
word = ''.join(c for c in piece if c.isalpha())
... |
import argparse
import subprocess
import sys
from typing import Optional
from .containerization import CAN_RUN_NATIVELY, DockerContainer, DockerRun
from .plugins import Command
class PolyBuild(Command):
name = "build"
help = "runs `polybuild`: clang with PolyTracker instrumentation enabled"
_container: O... |
#!/usr/bin/python
# The usual preamble
import numpy as np
import pandas as pd
import time
# Get data (NYC 311 service request dataset) and start cleanup
data = pd.read_csv('data/us_cities_states_counties.csv', delimiter='|')
data.dropna(inplace=True)
print "Done reading input file..."
start = time.time()
# Get all ... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 12, 2011
@author:Isabel Restrepo
A script to run (fast) k-means on the set of means found for each category
"""
import os;
import dbrec3d_batch
import multiprocessing
import Queue
import time
import random
import optparse
import sys
from math import lo... |
import tweepy #library for building apps for twitter
import time #library for controling the sleep of the message
CONSUMER_KEY ="Enter your api key"
CONSUMER_SECRET = "Enter your api secret key"
ACCESS_KEY ="Enter your access key"
ACCESS_SECRET="Enter your access secret key"
auth = tweepy.OAu... |
def get_maintenance_cost(
mean,
remainder,
factor=40,
decimal_places=3
):
expected_value_variable_squared = mean + (mean ** 2)
return round(
remainder + (expected_value_variable_squared * factor),
decimal_places
)
a_mean, b_mean = map(float, input().split())
print(
... |
#!/usr/bin/env python3
import sys
import os
import time
import serial
# This is a quick and dirty control program for the Kenwood TM-271A and TM-281A
# transceiver to allow remote base like operations for use with Allstar or
# other digital modes. It is primarily targeted at the Raspberry Pi but being
# in Python allo... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2019/12/19 9:27
# @Author : NingAnMe <ninganme@qq.com>
import argparse
from dateutil.relativedelta import relativedelta
import time
from datetime import datetime
import os
import requests
from lib.lib_cimiss import get_cimiss_ssi_ssh_tem_data
from config i... |
#!/usr/bin/python
from __future__ import with_statement
import sys
import os
default_path = '/usr/local/id/streaming_pb_downloader/current/configs'
default_filename = 'event_name_list.txt'
if len(sys.argv) > 2:
print('Usage:\n{0}\nor\n{0} output_path'.format(sys.argv[0]))
sys.exit(0)
if len(sys.argv) == 2:
defau... |
from jinja2 import Environment, FileSystemLoader
def main(frank, output_dir):
print "Executing python codegen: main()", frank
# load up the jinja template
# env = Environment(loader=FileSystemLoader(""))
env = Environment(loader=FileSystemLoader(__path__))
client = env.get_template("client.jinja"... |
#
# 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 in writing, software
# distributed under... |
from functools import lru_cache
from typing import Tuple, List, Dict
import math
from .RayInfluenceModel import RayGridInfluenceModel, Ray
class WideRayGridInfluenceModel(RayGridInfluenceModel):
"""
Calculates the weights of the grid cells by calculating the distance of the center of the cell to the ray... |
# Generated by Django 2.2.5 on 2019-09-06 16:28
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('search', '0001_initial'),
('team', '0001_initial'),
]
operations = [
migrations... |
import re
import itertools
regex = r"<x=(-*\d+),\sy=(-*\d+),\sz=(-*\d+)>"
p = re.compile(regex)
def moon(p_x, p_y, p_z, v_x, v_y, v_z):
return {"pos": {"x": p_x, "y": p_y, "z": p_z}, "vel": {"x": v_x, "y": v_y, "z": v_z}}
a = []
for line in open('day12-2019.txt').read().split('\n'):
x, y, z = p.match(line)... |
from . import *
from ..fetchers import OAIFetcher
from ..parsers import OAIParser
class OAIController(CorpusController):
'''CorpusController designed for the OAI database
'''
# Default start date for batch retrieval
DATE_FROM = datetime.date(2010, 1, 1)
# Default time window for batch retrieval
DATE_... |
# Backward compatibility with Python 2.
from __future__ import print_function, absolute_import, division
# Suppress all warnings.
import warnings
warnings.filterwarnings('ignore')
import tensorflow as tf
from tensorflow.contrib import rnn
from tensorflow.contrib import legacy_seq2seq
import numpy as np
class Mode... |
from django.shortcuts import render, get_object_or_404
from django.http import HttpResponseRedirect, HttpResponse, JsonResponse
from django.contrib.auth.decorators import login_required
from django.urls import reverse
from django.db.models import Q
from django.views.decorators.csrf import csrf_exempt
from django.forms.... |
import logging
import inspect
from ..core.memory import MemoryException, FileMap, AnonMap
from .helpers import issymbolic
######################################################################
# Abstract classes for capstone/unicorn based cpus
# no emulator by default
from unicorn import *
from unicorn.x86_const imp... |
#!/usr/bin/env python3
import os
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import matplotlib.animation as animation
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
from tqdm import tqdm
from util.constants import PLEARN_ACTIONS, plearn_action_to_text
from mivp_... |
from collections import Counter
from bs4 import BeautifulSoup
from bs4.dammit import EncodingDetector
from sparkcc import CCIndexWarcSparkJob
from word_count import WordCountJob
class CCIndexWordCountJob(CCIndexWarcSparkJob, WordCountJob):
""" Word count (frequency list) from WARC records matching a SQL query
... |
import pytest
import pathlib
from align.schema.subcircuit import SubCircuit
from align.schema.parser import SpiceParser
# WARNING: Parser capitalizes everything internally as SPICE is case-insensitive
# Please formulate tests accordingly
@pytest.fixture
def setup_basic():
return 'X1 a b testdev x=1f y=0... |
import torch
import torch.nn as nn
from torch.nn import LSTM, LSTMCell, Linear, Parameter
class InteractorwoLSTM(nn.Module):
def __init__(self, hidden_size_textual: int, hidden_size_visual: int,
hidden_size_ilstm: int):
"""
:param input_size:
:param hidden_size:
""... |
from flask import Flask
from flask import request
app = Flask(__name__)
# level 0
@app.route('/')
def home_page():
html = """
<head>
<title>我的网站</title>
</head>
<body>
这是我的网站
</body>
"""
return html
# level 1
@app.route('/<name>')
def sayhello(name):
html = f"""
... |
#2 step process take image of background and select a colour for the cloth.
#code for image of the background
import cv2
#This is my webcam
cap = cv2.VideoCapture(0)
#back is what camera is reading
while cap.isOpened():
ret,back=cap.read() #Here i am simply reading from my webcam
if ret: #same as writ... |
# -*- coding: utf-8 -*-
# Inspired by:
# https://github.com/lingdb/CoBL/issues/223#issuecomment-256815113
from __future__ import unicode_literals, print_function
from django.db import migrations
from cobl.source_scripts.handle_duplicate_sources import handle_sources, \
sourcesExist
sources_changes = {'merge': {},
... |
import pandas as pd
def load_data(portfolio_data_absolute_path="/home/chris/Dropbox/Finance/data/portfolio_trades.ods",
stock_data_absolute_path="/home/chris/Dropbox/Finance/data/stock_trades.ods",
income_data_absolute_path="/home/chris/Dropbox/Finance/data/income.ods",
etf_ma... |
import os
from PyQt4.QtCore import QDir, QFile, QSettings
from whoosh import fields
__appname__ = 'mikidown'
__version__ = '0.3.1'
class Setting():
def __init__(self, notebooks):
# Index directory of whoosh, located in notebookPath.
self.schema = fields.Schema(
path = fields.TEXT(s... |
import asyncio
from perftests.helpers import Time, client
print('Running rest_implementation benchmark with async_v20 version', client.version)
async def rest_implementation(repeats):
for _ in range(repeats):
account = await client.account()
account.json()
loop = asyncio.get_event_loop()
with Time... |
#!/usr/bin/env python3
import sys, getopt, os
from shutil import copyfile
def main(argv):
if os.environ['NEWT_TEMPLATE_PATH'] == '':
template_path = "/opt/newt/templates"
else:
template_path = os.environ['NEWT_TEMPLATE_PATH']
template = ''
filename = ''
EXECUTABLE = False
t... |
def cci_parens(n):
ls = [['(',1,0]]
while(True):
if(len(ls) == 0):
break
new_ls = []
for elem in ls:
l = elem[1]
r = elem[2]
comb = elem[0]
if(l == n):
print(comb + (')'*(l-r)))
continu... |
import os
import json
import time
import pandas as pd
from haystack import Label, MultiLabel, Answer
from haystack.utils import launch_es, fetch_archive_from_http, print_answers
from haystack.document_stores import ElasticsearchDocumentStore
from haystack import Document, Pipeline
from haystack.nodes.retriever import... |
from setuptools import find_packages, setup
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name="gpu_slic",
version="0.0.1a3",
python_requires=">=3.6",
package_dir={"": "src"},
packages=find_packages(where="src"),
include_package_data=True,
install_requires=[
... |
from typing import List, Tuple, Union
import numpy as np
from pgdrive.component.lane.circular_lane import CircularLane
from pgdrive.component.lane.straight_lane import StraightLane
from pgdrive.constants import LineType
from pgdrive.utils.utils import import_pygame
PositionType = Union[Tuple[float, float], np.ndarra... |
"""
A Python wrapper for Transmission's RPC interface.
>>> from transmission import Transmission
>>> client = Transmission()
>>> client('torrent-get', ids=range(1,11), fields=['name'])
{u'torrents': [
{u'name': u'Elvis spotted in Florida.mov'},
{u'name': u'Bigfoot sings the hits'},
# ...
{u'name': u'... |
import collections
import json
import random
import string
import urllib.request
from datetime import datetime, timedelta
from os import urandom
from pathlib import Path
from flask import Flask, jsonify, request
from flask_marshmallow import Marshmallow
from flask_sharded_sqlalchemy import BindKeyPattern
from flask_sh... |
#!/usr/bin/python3
#basic class will be imported from here
import astm_file2mysql_general as astmg
import sys, logging, time
#For mysql password
sys.path.append('/var/gmcs_config')
import astm_var
log=1
my_host='127.0.0.1'
my_user=astm_var.my_user
my_pass=astm_var.my_pass
my_db='biochemistry'
inbox='/root/ashish.... |
from itertools import groupby
class Solution:
def countAndSay(self, n):
def gen(s):
return "".join(str(len(list(g))) + k for k, g in groupby(s))
s, i = "1", 1
while i < n:
s = gen(s)
i += 1
return s
|
import json
history_path = 'outputs/ResUNet.json'
history_file = open(history_path, "r")
history = history_file.read()
history_file.close()
history = json.loads(history)
import matplotlib.pyplot as plt
plt.plot(history['train'])
plt.plot(history['valid'])
plt.legend(['train loss', 'valid loss'])
plt.show() |
from selenium import webdriver
from PIL import Image
from io import BytesIO
import time
import re
import argparse
import os
import json
from utils import generate_img_filename
from templates import template_path
def get_args():
example_text = '''
examples:
python openassessit/%(capture_element_pic)s --in... |
from electrum_ltc.i18n import _
fullname = _('Satochip 2FA')
description = ' '.join([
_("This plugin allows the use of a second factor to authorize transactions on a Satochip hardware wallet."),
_("It sends and receives transaction challenge and response."),
_("Data is encrypted and stored on a remote serve... |
from django.db import models
from django.utils.timezone import now
class Company(models.Model):
class CompanyStatus(models.TextChoices):
LAYOFFS = "Layoffs"
HIRING_FREEZE = "Hiring Freeze"
HIRING = "Hiring"
name = models.CharField(max_length=30, unique=True)
status = models.CharFi... |
from unittest import TestCase
from mock import Mock, patch
class TestAPIConnection(TestCase):
def setUp(self):
self._requests_patcher = patch('broadstreetads.requests')
self.requests = self._requests_patcher.start()
def tearDown(self):
self._requests_patcher.stop()
def one(self, ... |
import plato_fit_integrals.initialise.create_ecurve_workflows as ecurves
import matplotlib.pyplot as plt
def plotFittedIntsVsInitial(integInfo,coeffsToTablesObj):
initInts = coeffsToTablesObj._integHolder.getIntegTableFromInfoObj(integInfo,inclCorrs=False).integrals
fitInts = coeffsToTablesObj._integHolder... |
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