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#!/usr/bin/python3
# -*- coding: utf-8 -*-
import logging
import os
import platform
import sqlite3
import subprocess
import sys
import time
from PyQt5.QtCore import Qt
from PyQt5.QtGui import QFont, QIcon
from PyQt5.QtWidgets import *
sf_name = "commander"
dbname = './yunqi.db' # 存储预设的数据库名字
presetTableName = 'comman... |
from django.db import models
# Create your models here.
from .toolGroup import *
from .tool import *
from .timeSlot import *
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 3 16:53:55 2021
@author: lenakilian
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import copy as cp
data_dir = r'/Users/lenakilian/Documents/Ausbildung/UoLeeds/PhD/Analysis/data/'
first_year = 2007
last_year = 2016
... |
# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# (C) British Crown Copyright 2017-2020 Met Office.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions a... |
# -*- coding: utf-8; -*-
"""Axially moving solid, Eulerian view, small-displacement regime (on top of axial motion)."""
import numpy as np
import matplotlib.pyplot as plt
from unpythonic import ETAEstimator, timer, Popper
from fenics import (FunctionSpace, VectorFunctionSpace, TensorFunctionSpace,
... |
from __future__ import unicode_literals
import os
import time
import json
import logging
import requests
from nose.tools import assert_equals, assert_true, assert_is_not_none, assert_is_none, assert_false
RETRIES=100
TIMEOUT=3
def wait_for_automation_server():
logger.info('waiting for automation server')
co... |
__author__ = "Riccardo De Zen <riccardodezen98@gmail.com>"
import unittest
import numpy.testing
from parameterized import parameterized
from algorithms_for_engineering.matrix import Matrix, matrix_sum, matrix_product_naive, matrix_fractal_product
class TestMatrix(unittest.TestCase):
@parameterized.expand([[Mat... |
from __future__ import annotations
from enum import Enum, unique
import logging
import typing
from dataclasses import dataclass
from iaqualink.typing import DeviceData
from iaqualink.const import (
AQUALINK_TEMP_CELSIUS_LOW,
AQUALINK_TEMP_CELSIUS_HIGH,
AQUALINK_TEMP_FAHRENHEIT_LOW,
AQUALINK_TEMP_FAHR... |
import pickle
print("lstm word2vec 150")
with open('lstm_word2vec_epoch_5_150d_f1s.p', 'rb') as f21:
# The protocol version used is detected automatically, so we do not
# have to specify it.
data = pickle.load(f21)
print("f1")
print(data)
with open('lstm_word2vec_epoch_5_150d_nbatch.p', 'rb') as f... |
import os
import pysynth as ps
import uuid
mapping = {
1: 'a0',
2: 'a#0',
3: 'b0',
4: 'c1',
5: 'c#1',
6: 'd1',
7: 'd#1',
8: 'e1',
9: 'f1',
10: 'f#1',
11: 'g1',
12: 'g#1',
13: 'a1',
14: 'a#1',
15: 'b1',
16: 'c2',
17: 'c#2',
18: 'd2',
19: 'd#2'... |
import os
import sys
import json
import argparse
import os
import subprocess
import io
import time
from mpi4py import MPI
comm = MPI.COMM_WORLD
my_rank = comm.Get_rank()
comm_sz = comm.Get_size()
parser = argparse.ArgumentParser()
parser.add_argument('-i', '-interval', '--interval', default='5')
... |
import unittest
import pandas as pd
import numpy as np
from pyrate.rate import ratingbase
from pyrate.rate import leastsquares
from pyrate.rate import mle
from pyrate.rate import gom
class ToyLeagueHyper(unittest.TestCase):
def setUp(self):
# Data from Massey (1997) Example 4.2. Home/away values have
... |
"""
The main configuration for the latex generator.
"""
class LatexConfigError(Exception):
pass
class LatexConfiguration:
def __init__(self):
self.document_class = None
self.class_options = None
def check_configuration(self):
if not self.document_class:
raise LatexConf... |
# Copyright 2018 Google LLC
#
# 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, ... |
def hilbert():
pass
|
"""
HTML color names.
For more details, see https://developer.mozilla.org/ru/docs/Web/CSS/color_value.
"""
COLOR_NAMES_TO_HEX = {
"""
A map of HTML color names to their hex values.
"""
"black": "#000000ff",
"silver": "#c0c0c0ff",
"gray": "#808080ff",
"white": "#ffffffff",
"maroon": "#... |
#
# Copyright (c) 2017 Luis F. Simoes (github: @lfsimoes)
#
# Licensed under the MIT License. See the LICENSE file for details.
from math import sqrt, exp
from functools import wraps, partial #, total_ordering
import numpy as np
import PyKEP as pk
from scipy.optimize import minimize_scalar
from .constants import ... |
# アプリケーション上で使うラベル
from collections import OrderedDict
# TODO フロントエンドを実装する時はいらなくなるかもしれない
# 順番をちゃんと決めたいので敢えてOrderdDictで実装
THROWS = OrderedDict()
THROWS['R'] = '右'
THROWS['L'] = '左'
PITCH_TYPES = OrderedDict()
# まっすぐ系→次に早い系→遅い系の順番で
PITCH_TYPES['FF'] = '4シーム'
PITCH_TYPES['FT'] = '2シーム'
PITCH_TYPES['SI'] = 'シンカー'
PITCH_T... |
from news_scrapper import scrape
print "Test Case #1"
print scrape.SentimentNews('AAPL')
print "Test Case #2"
print scrape.SentimentNews('GOOG')
print "Test Case #3"
print scrape.SentimentNews('T')
|
from django.db import models
# Create your models here.
class File(models.Model):
file_name = models.CharField(max_length=500)
upload = models.FileField(upload_to='uploads/')
|
#Imports
import random
#Constants
MAGIC_SHUFFLE_NUMBER = 7
END_GAME = 21
DEALER_NUMER = 17
ACE_DIFF = 10
#Game deck, used to shuffle and keep track of cards
class Deck(object):
# 4 Suits
suits = ["Hearts", "Diamonds", "Clubs", "Spades"]
# 13 different values, last 3 are face cards worth 10
values = ra... |
from glob import glob
import os, shutil
val_dir="./val"
train_dir="./train"
val_folders=glob(os.path.join(val_dir,"*"))
train_folders=glob(os.path.join(train_dir,"*"))
for val_folder,train_folder in zip(val_folders,train_folders):
imgs=glob(os.path.join(val_folder,"*"))
for img in imgs:
try:
... |
# Generated by Django 2.1.2 on 2018-11-28 20:11
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('velhot', '0011_auto_20181128_0303'),
]
operations = [
migrations.AlterField(
model_name='chat',
name='created',
... |
import pytest
from unittest.mock import Mock
from eth_utils import (
decode_hex,
)
from web3.contract import (
CONCISE_NORMALIZERS,
ConciseContract,
ConciseMethod,
)
@pytest.fixture()
def EMPTY_ADDR():
return '0x' + '00' * 20
@pytest.fixture()
def zero_address_contract(web3, WithConstructorAdd... |
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
from ._do... |
from numpy import random
x = random.choice([3, 5, 7, 9], p=[0.1, 0.3, 0.6, 0.0], size=(100))
print(x)
|
import os
from enum import Enum
from functools import partial
from pathlib import Path
from strictdoc.backend.dsl.models.document import Document
from strictdoc.cli.cli_arg_parser import ExportCommandConfig
from strictdoc.core.document_meta import DocumentMeta
from strictdoc.core.document_tree import DocumentTree
from... |
class ModelPath(object, IDisposable):
""" A path to a file stored on a disk or on a server. """
def Compare(self, otherPath):
"""
Compare(self: ModelPath,otherPath: ModelPath) -> int
Compares this ModelPath with another
otherPath: The path to compare against.
Return... |
#!/usr/bin/env python
#coding=utf-8
import os, sys
sys.path.append(os.path.abspath(os.path.dirname(__file__)))
# from flask.ext.script import Manager, Server
from flask_script import Manager, Server
# from OctBlog import create_app
# app = create_app(os.getenv('config') or 'default')
from miniblog import app
mana... |
from .token import Token
from .user import User
|
#!/usr/bin/env python
import os
import numpy as np
from pyems.utilities import print_table
from pyems.port import RectWaveguidePort
from pyems.simulation import Simulation
from pyems.field_dump import FieldDump
from pyems.structure import standard_waveguides
from pyems.coordinate import Coordinate3, Box3, Axis
from py... |
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.converter import TextConverter
from pdfminer.layout import LAParams
from pdfminer.pdfpage import PDFPage
from cStringIO import StringIO
import re
import pprint
import json
from collections import deque
def _convert_pdf_to_txt(path):
... |
# -*- coding: UTF-8 -*-
from django.shortcuts import render
# Create your views here.
from django.shortcuts import render
# Create your views here.
from django.http import HttpResponse, HttpResponseRedirect
from django.template import loader, Context
from django.shortcuts import render_to_response
from django.views.... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author : qichun tang
# @Contact : tqichun@gmail.com
# from skopt.learning.forest import RandomForestRegressor, ExtraTreesRegressor
# from skopt.learning.gbrt import GradientBoostingQuantileRegressor
from copy import deepcopy
import numpy as np
from frozendict import... |
import argparse
import tensorflow as tf
import utils
import data_reader
import network_maker
import network_helper
INPUT_SIZE = 2
FC_FILTERS = (50, 100, 500, 50)
TCONV_DIMS = (50, 150, 300)
TCONV_FILTERS = (16, 8, 4)
X_RANGE = [0, 1]
Y_RANGE = [i for i in range(2, 1003)]
CROSS_VAL = 5
VAL_FOLD = 0
BATCH_SIZE = 20
SHU... |
import json
from player_manager.models import Player
from guild_manager.models import Guild
from game_map.utils import notify_dynamic_map_structure_change
from websocket_controller import WebsocketRoutes
from websocket_controller.message_utils import error_message, SUCCESS_MESSAGE
from city_game_backend import CONSTANT... |
import pandas as pd
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns
import statsmodels.formula.api as statsform
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_squared_error
from sklearn.metrics import mean_absolute_error
i... |
import math
import torch
from torch import tensor, zeros
import torch.nn.init as init
from torch.autograd import Variable
import torch.nn.functional as F
from torch.autograd import Function
sqrt_of_2 = math.sqrt(2)
eps = 1e-5
def my_mean(x):
size = x.size()
size_tensor = torch.Tensor([s for s in size])
e... |
import copy
import numpy as np
from random import randint
from CommonUtils.StaticStorage import StaticStorage
class DE_:
def __init__(self, params, calculate_objectives, evolutionary_operators, visualiser, greedy_heuristic):
'''
Differential Evolution Algorithm (DE)
'''
self.param... |
"""Build forest graph from edges
Assuming forest is represented as a list of edges as list of child-parent pairs:
>>> l = ["A1 B", "C1 D", "A2 B", "C2 D", "A3 B"]
build a forest (list of trees) as a dictionary:
>>> {
>>> "B": { "A1": {}, "A2": {}, "A3": {} },
>>> "D": { "C1": {}, "C2": {} }
>>> }
"""
from ... |
#!/usr/bin/env python3
#simulates monty hal problem
from random import shuffle, choice
tests = 10000
results_switched = [0] * tests
results_stayed = [0] * tests
def runtest(isSwitch, result):
for i in range(tests):
# Generate random prize sequence
all_doors_contents = ['Prize', 'Goat', 'Goat']
... |
def f(n):
if n==0:
return 1
else:
for i in range(n):
f(n-1) |
# Date: September 2017
# Author: Kutay B. Sezginel
"""
Initialize Lammps simulation using lammps_interface
"""
import os
import glob
from lammps_interface.lammps_main import LammpsSimulation
from lammps_interface.structure_data import from_CIF
from . import read_lines, write_lines
from thermof.sample import lammps_inpu... |
from apispec import APISpec
from apispec.ext.marshmallow import MarshmallowPlugin
from flask_apispec.extension import FlaskApiSpec
from app import BaseUrl
class ApiDocs:
"""Class for Flask-Apispec Autodocs"""
def __init__(self, app, version):
"""Constructor"""
self.app = app
self.titl... |
# -*- coding: utf-8 -*-
import json
from scrapy import FormRequest
from scrapy_ddiy.utils.common import get_str_md5
from scrapy_ddiy.utils.spiders.ddiy_base import DdiyBaseSpider
"""
ALAPI：QPS限制为3 , 每天限制请求100次
"""
class AlapiDogSpider(DdiyBaseSpider):
description = 'ALAPI-舔狗日记'
name = 'alapi_dog'
start_u... |
#!/usr/bin/env python
import json
from kafka import KafkaProducer
from flask import Flask, request, session
app = Flask(__name__)
producer = KafkaProducer(bootstrap_servers='kafka:29092')
def log_to_kafka(topic, event):
event.update(request.headers)
producer.send(topic, json.dumps(event).encode())
@app.rout... |
"""
Author: Salva Rühling Cachay
"""
import argparse
import time
import wandb
from climart.models.GNs.constants import GLOBALS
from climart.models.interface import is_gnn, is_cnn, is_graph_net
from climart.utils.utils import set_gpu, get_name
def get_argparser(jupyter_mode=False):
parser = argparse.ArgumentPar... |
#!usr/bin/env python
#
# Copyright 2018 houjingyong@gmail.com
#
# MIT Lisence
from __future__ import absolute_import
from __future__ import print_function
class KWS_Label():
def __init__(self, meta_file):
self.label_dict = dict()
with open(meta_file) as fid:
self.metadata = [line.str... |
# (c) 2021 Okawo
# This code is licensed under MIT license (see LICENSE for details)
"""Python entry point."""
from . import main
main.main()
|
import subprocess
import time
from asynchronousfilereader import AsynchronousFileReader
__version__ = '0.0.1'
class ProcessManager(object):
def __init__(self):
self._command = None
self._process = None
self._stdout = None
self._stderr = None
def start_process(self, command):... |
import pandas as pd
import numpy as np
from sklearn.metrics.pairwise import linear_kernel
from sklearn.feature_extraction.text import TfidfVectorizer
df = pd.read_csv("book_data.csv")
df = df.dropna()
df2 = df['genres'].str.split('|', expand=True)
df2.head(10)
df['genres'] = df2[0]
df.drop_duplicates('book_title', i... |
"""Module containing helper functions."""
import ConfigParser
# import io
from itertools import islice
def get_data_dict(data):
"""Method: Cleanup data and convert it in the dict format."""
data_s = data.to_json() # string
data_d = json.loads(data_s) # dict
return data_d
def take(n, iterable):
"... |
"""
Area and amplitude spectrum for photon recorded in different pile-up fraction and dpe fraction.
Lanqing Yuan, Jan 10 2022
"""
import numpy as np
import straxen
import pandas as pd
import sys
from tqdm import tqdm
########################
# Amplitude acceptance #
########################
def get_avg_spe_amp(top... |
import matplotlib.pyplot as plt
import numpy as np
import matplotlib as mlt
from matplotlib.patches import Polygon, Wedge, Rectangle, FancyBboxPatch, BoxStyle
y_lim = 260000000
chr1_size = 249250621
fig = plt.figure(num=None, figsize=(5,6))
#
plt.ylim([-10000000, y_lim])
plt.xlim([0, 5])
# plt.axes.get_xaxis().set... |
import sys
import os
extensions = [
"sphinx.ext.autodoc", # Support automatic documentation
"sphinx.ext.coverage", # Automatically check if functions are documented
"sphinx.ext.mathjax", # Allow support for algebra
"sphinx.ext.viewcode", # Include the source code in documentation
"numpydoc", #... |
import os
from pathlib import Path
import sys
from arcgis import GeoAccessor
from arcgis.geometry import Geometry
import arcpy
import pandas as pd
import pytest
# facilitate local resource imports
project_dir_str = Path(os.path.abspath(os.path.join(os.path.dirname(__file__), '../')))
src_dir_str = project_dir_str
sys... |
# -*- coding: utf-8 -*-
# generate a CSV file of meta data to be imported into MySQL
import os
import csv
import numpy as np
import h5py
from PIL import Image
dset = 'emoji'
base = '/Users/yliu0/data/{}/'.format(dset)
img_base = base + 'images/'
h5 = base + '{}.h5'.format(dset)
out = base + 'color.csv'
img_rows, im... |
from typing import Optional
import numpy as np
import torch
import torch.nn.functional as F
from .tensor import coerce_numpy
@coerce_numpy
def compute_precisions(
predictions: torch.Tensor,
targets: torch.Tensor,
src_lengths: Optional[torch.Tensor] = None,
minsep: int = 6,
maxsep: Optional[int] = ... |
# Random forest classifier to predict names only
from MachineLearning.RandomForestAll import RandomForestAll
class RandomForestNames(RandomForestAll):
def __init__(self):
super().__init__()
# Selects only the names from the dataframe to train the model on
def __selectData(self):
name = ['... |
import datetime
from database.database_schemas import Schemas
from sqlalchemy import Column, Integer, String, DateTime
from database.base import Base
class DescriptorSets(Base):
"""Maps to descriptor_sets table in qsar databases."""
__tablename__ = 'descriptor_sets'
__table_args__ = {'schema': Schemas.... |
from sys import stdin
import logging
def main():
last_id = None
last_county = None
for line in stdin:
line = line.strip()
id, county, state = line.split(':')
if id != last_id or county != last_county:
print(f"{id}:{state}")
last_id = id
las... |
# -*- coding: utf-8 -*-
"""
16. 3Sum Closest
给定一个包括 n 个整数的数组 nums 和 一个目标值 target。找出 nums 中的三个整数，
使得它们的和与 target 最接近。返回这三个数的和。假定每组输入只存在唯一答案。
例如，给定数组 nums = [-1，2，1，-4], 和 target = 1.
与 target 最接近的三个数的和为 2. (-1 + 2 + 1 = 2).
解题思路：
和15题解法差不多，只是这里只需要三个数的和，而且不用处理重复情况的逻辑，
就是多加一个变量，用于判断是否最接近target，这个变量初始值一定要大，以免
在判断时把一些满... |
import pygame
class Ship():
def __init__(self, scree, ai_setting):
super().__init__()
self.scree = scree
self.ai_settings = ai_setting
# 加载飞船外形以及外接矩形
self.image = pygame.image.load('外星人游戏/img/ship.bmp')
self.rect = self.image.get_rect()
self.scree_rect = scr... |
from config import app
from config.clv_base import SlaveHandler
__all__ = ["slave"]
slave = SlaveHandler(app)
|
from category import Category
cats = {
"legs": Category("False Legs"),
"bats": Category("Baseball Bats"),
"fruit": Category("Fruit"),
"special": Category("Bobs Special Place")
}
|
import os
import platform
import pytest
from mist.action_run import execute_from_text
CHECK_FILE = "bool_func_if.mist"
@pytest.mark.asyncio
async def test_check_if_bool_functions(examples_path):
with open(os.path.join(examples_path, CHECK_FILE), "r") as f:
content = f.read()
output = await execute_f... |
from collections import namedtuple
DateRangeFacet = namedtuple('DateRangeFacet', ('slug', 'label', 'date_range'))
def get_field_facets(facet_counts, facet_name, key=None):
def key_method(facet):
return key(facet[0])
facets = facet_counts.get('fields', {}).get(facet_name, [])
facets = [(item, c... |
import anndata
import napari
import numpy as np
from morphometrics._gui._qt.annotation_widgets import QtClusterAnnotatorWidget
from morphometrics.data import cylinders_and_spheres
from morphometrics.explore.cluster import cluster_features
from morphometrics.explore.dimensionality_reduction import pca, umap
from morpho... |
import os
import signal
import threading
from subprocess import check_output, Popen
from http.server import HTTPServer, BaseHTTPRequestHandler
from urllib.parse import urlparse, parse_qs
from unittest import TestCase
import pytest
from brotab.tests.utils import wait_net_service
from brotab.mediator.brotab_mediator im... |
#!/usr/bin/env python
from time import sleep
import os
import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
R9 = 10000 #in ohms (see schematic)
R10 = 6800 #in ohms
VoltageThreshold = 4.8 #TODO: determine it empirically
n = 1024 #Resolution MCP3001
#numeros de pins
SPICLK = 6
SPIMISO = 5 #DOUT
SPIC... |
#!/usr/bin/env python2
# RunReadingComprehension.py
# Created 12/11/14 by DJ based on PlaySoundsWithQuestions.py.
# Updated 11/9/15 by DJ - cleanup
import os, random
from psychopy import visual, event, core, sound
#declare parameters
questionDur_sec = 8 # time between questions
randomize_questions = True
#nTrials = ... |
from .base_trainer import E2ETrainer
from .base_trainer import ImageFirstE2ETrainer
|
#!/usr/bin/env python
import sys
import rospy
import math3d
import moveit_commander
import geometry_msgs.msg
from std_msgs.msg import Float64
from dynamixel_controllers.srv import TorqueEnable
from cute_unit_app.srv import GetObject
class PickPlace:
def __init__(self):
self.__arm_group = moveit_comman... |
import json
import random
import tornado.ioloop
import tornado.web
import tornado.websocket
class MainHandler(tornado.web.RequestHandler):
def get(self):
self.write('Foo')
class SyncSocket(tornado.websocket.WebSocketHandler):
clients = set()
states = dict()
def check_origin(self, origin):
... |
# coding: utf-8
import festune.index
import festune.playlist
from pelican import signals as pelican_signals
import pelican.generators
class SpotifyPlaylistGenerator(pelican.generators.Generator):
playlists = None
tracks = None
def init(self):
self.playlists = festune.index.FestonPlaylistsIndex()... |
import math
print("Kinjal Raykarmakar\nSec: CSE2H\tRoll: 29\n")
N = int(input("Enter the kilometers per day(N): "))
M = int(input("Enter the total route length(M): "))
print("The car will take {} days".format(math.ceil(M/N))) |
import sys
from tp00 import Tp00
import tpUtils
from constant import *
import json
import time
class Tp28:
"""
#28 Ambient light sensor
"""
def __init__(self, slot, host=None):
"""
コンストラクタ
"""
self.slot = slot
self.comm = I2C
self.host = host
... |
# Copyright 1999-2020 Alibaba Group Holding 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 a... |
#!/usr/bin/python
# -*- mode: python -*-
# -*- coding: utf-8 -*-
# vi: set ft=python :
import unittest
from unittest import mock
from unittest.mock import MagicMock
import mimesis
from deploy2ecscli.aws.client.config import Config
from deploy2ecscli.aws.client.ecs.resources import Service
from deploy2ecscli.aws.clie... |
import pygame
import math
import time as t
import random
from entities.level import Level, Point, Tile, empty_next_tile_horiz, empty_next_tile_vert
from entities.shot import Shot
from entities.tank import Tank
POSSIBLE_WAYS = [0, 1, 2, 3]
def find_random_path(angle):
angle //= 90
random.shuffle(POSSIBLE_WAY... |
from telethon import TelegramClient,events
UravxBuCwNMpYWTzKhPE=True
UravxBuCwNMpYWTzKhPH=None
UravxBuCwNMpYWTzKhPO=False
UravxBuCwNMpYWTzKhPI=print
UravxBuCwNMpYWTzKhPg=len
UravxBuCwNMpYWTzKhRc=bytes
UravxBuCwNMpYWTzKhRP=enumerate
UravxBuCwNMpYWTzKhRA=exit
UravxBuCwNMpYWTzKhRm=range
UravxBuCwNMpYWTzKhRt=type
UravxBuCw... |
import sys
import os
import string
import json
class RTemplate(string.Template):
delimiter = '@'
def input(fname):
species = []
fpath = os.path.abspath(fname)
with open(fpath, 'r') as f:
for line in f.readlines():
individuals = filter(lambda x: x != '', string.split(line.strip(), ' '))
sp... |
import requests
from lxml import etree
import time
import dateutil.parser
import rsstastic
class AtomReader() :
def __init__(self,config) :
self.url = config
def get_items(self) :
namespace = "{http://www.w3.org/2005/Atom}"
response = requests.get(self.url)
tree = etree.fromstri... |
#import distorm
from pyasm import *
from distorm3 import *
_REGS = ["RAX", "RCX", "RDX", "RBX", "RSP", "RBP", "RSI", "RDI", "R8", "R9", "R10", "R11", "R12", "R13", "R14", "R15",
"EAX", "ECX", "EDX", "EBX", "ESP", "EBP", "ESI", "EDI", "R8D", "R9D", "R10D", "R11D", "R12D", "R13D", "R14D", "R15D",
"AX", "CX", "DX... |
LABELPATH = 'C:\\Data\\bn_bd\\line_index.tsv'
SAVEPATH = 'C:\\Data\\bn_bd\\synth\\'
import os
import pandas as pd
from gtts import gTTS
df = pd.read_csv(LABELPATH,delimiter='\t', header = None)
NSAMPLES = df.shape[0]
for index, row in df.iterrows():
try:
fileID = row[0]
text = row[1]
pri... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jan 22 12:03 2021
@author: MCR
File containing all diagnostic plotting functions for the empirical trace
construction and centroiding.
"""
import matplotlib.pyplot as plt
import numpy as np
import corner
def _plot_centroid(clear, centroid_dict):
... |
import pathlib
import shutil
import tempfile
def appendzip(dest: pathlib.Path, file_to_include: pathlib.Path, arcname: str):
if file_to_include.exists() is False:
raise Exception("file to include does not exist")
if dest.exists() is False:
raise Exception("destination zip does not exist")
... |
#!/usr/local/bin/python
# -*- coding: utf-8 -*-
# Author: illuz <iilluzen[at]gmail.com>
# File: AC_simulation_n.py
# Create Date: 2015-08-04 18:33:10
# Usage: AC_simulation_n.py
# Descripton:
class Solution:
# @param {string} s
# @param {string} t
# @return {boolean}
def isAnagram(... |
import pandas as pd
import numpy as np
from sentence_transformers import SentenceTransformer
from gensim.utils import tokenize
from gensim.models import FastText
from gensim.models.phrases import Phrases, Phraser
from gensim.parsing.preprocessing import remove_stopwords, strip_punctuation, strip_non_alphanum
from skle... |
#!/usr/bin/env python
# Copyright 2016 Ufora 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 applic... |
#######################################################################
### Config.py: Configuration file for Save Tweets ###
### Copyright: Elena Daehnhardt ###
### Contact me at: edaehn@gmail.com ###
################################... |
import os
class DiscoverDQMFiles:
def recursive_file_gen(self, mydir):
for root, dirs, files in os.walk(mydir):
for file in files:
yield os.path.join(root, file)
def filesList(self, sourceDir, type = ""):
fullList = list(self.recursive_file_gen(sourceDir))
... |
# -*- coding:utf-8 -*-
# @Time : 2021/11/26 22:26
# @Author : Sakura
# @QQEmail : 1018655370@qq.com
# @Google : jiangjiefeng0@gmail.com
from rest_framework.serializers import ModelSerializer
from rest_framework import serializers
from . import models
class ScoreSerializer(ModelSerializer):
coursera_id = serialize... |
import logging
import os
import random
import subprocess
import string
import sys
class CertGen:
def __init__(self, config, SECURITY_DIR):
self.logger = logging.getLogger("wms.cert-gen")
try:
data = subprocess.Popen([
"openssl",
"version"
... |
def solve():
data = input().split()
rows = int(data[0])
cols = int(data[1])
horse_x = int(data[2])
horse_y = int(data[3])
horse_reached = horse_reach(horse_x, horse_y)
board = [[0 for i in range(cols+1)] for j in range(rows+1)]
board[0][0] = 1
for i in range(rows+1):
for j... |
import struct
from typing import Union, Any
from pygoridge.constants import PayloadType
from pygoridge.exceptions import ServiceException, TransportException
from pygoridge.json import json_dumps, json_loads
from pygoridge.relay import Relay
class RPC:
def __init__(self,
relay: Relay,
... |
import hmac
import hashlib
from typing import Dict, Any
class CryptoComAuth():
"""
Auth class required by crypto.com API
Learn more at https://exchange-docs.crypto.com/#digital-signature
"""
def __init__(self, api_key: str, secret_key: str):
self.api_key = api_key
self.secret_key =... |
from pathlib import Path
import cv2
from imutils import paths
import sys,shutil
import numpy as np
from tqdm import tqdm
import hashlib
import time
##
_md=hashlib.md5()
##
def img_hash(img):
img=cv2.resize(img,(10,10))
hash_=hash(str(img))
return hash_
def img_md5(img):
_md.updat... |
from autograd import numpy as np
from autograd import grad, jacobian
import numpy.matlib as nm
from svgd import SVGD
import sys
#from mpltools import style
#from mpltools import layout
#style.use('ggplot')
import matplotlib.pyplot as plt
#-(1.0/(2*observation_variance))*(theta_i - time_series[t])**2 + np.log(1... |
from .TemporalEngine import TemporalEngine
|
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