content stringlengths 5 1.05M |
|---|
import csv
import sys
import urllib3
import json
from urllib.parse import quote
METAMAP = 'https://knowledge.ncats.io/ks/umls/metamap'
DISAPI = 'https://disease-knowledge.ncats.io/api'
DISEASE = DISAPI + '/search'
def parse_disease_map (codes, data):
if len(data) > 0:
for d in data:
if 'I_CODE... |
##
# @file elasticsearch.py
# @author Lukas Koszegy
# @brief Elasticsearch klient
##
from elasticsearch import Elasticsearch
import json
from time import time
from database.schemes.mapping import mappingApp, mappingEvent
import logging
class ElasticsearchClient():
def __init__(self, host="127.0.0.1", port=9200, ss... |
from argparse import ArgumentParser
import numpy as np
import pytorch_lightning as pl
from scipy.io import savemat
from torch.utils.data import DataLoader
from helmnet import IterativeSolver
from helmnet.dataloaders import get_dataset
class Evaluation:
def __init__(self, path, testset, gpus):
self.path ... |
import cv2
import numpy as np
import pandas as pd
date=datetime.datetime.now().strftime("%d/%m/20%y")
faceDetect = cv2.CascadeClassifier("C:/Users/Administrator/Desktop/haarcascade_frontalface_default.xml")
cam = cv2.VideoCapture(0)
rec = cv2.face.LBPHFaceRecognizer_create()
rec.read("C:/Users/Administrator/Desk... |
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
import time
import os
import shutil
import copy
import datetime
from layers import ConvNet
import network_operators
import utils
# hyperparameters
mutation_time_limit_hours = 23
n_models = 8 # ... |
import subprocess , os
from tkinter import messagebox
from tkinter import filedialog
class Cmd:
def __init__(self,tk, app):
self.app = app
self.tk = tk
self.default_compileur_path_var = os.path.join(os.path.dirname(os.path.abspath(__file__)), "dart-sass\\sass.bat")
self.opt... |
import math
from typing import Optional
import torch
from torch import nn, Tensor
from torch.autograd import grad
from torch.nn import functional as F
from adv_lib.utils.visdom_logger import VisdomLogger
def ddn(model: nn.Module,
inputs: Tensor,
labels: Tensor,
targeted: bool = False,
... |
#!/usr/bin/python
def get_memory(file_name):
# vmstat
#procs - ----------memory - --------- ---swap - - -----io - --- -system - - ------cpu - ----
# r;b; swpd;free;buff;cache; si;so; bi;bo; in;cs; us;sy;id;wa;st
memory_swpd = list()
memory_free = list()
memory_buff = ... |
# -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from odoo import api, fields, models, _
from odoo.exceptions import ValidationError
class CouponReward(models.Model):
_name = 'coupon.reward'
_description = "Coupon Reward"
_rec_name = 'reward_description'
... |
"""
=====================
Configuration Manager
=====================
"""
import os
from configparser import ConfigParser
from typing import Optional, Dict, TypeVar, Callable
from PySide2 import QtWidgets
WIDGET = TypeVar('QWidget')
########################################################################
class Con... |
import json
import yaml
from flask import jsonify, Blueprint, redirect
from flask_restless import APIManager
from flask_restless.helpers import *
sqlalchemy_swagger_type = {
'INTEGER': ('integer', 'int32'),
'SMALLINT': ('integer', 'int32'),
'NUMERIC': ('number', 'double'),
'DECIMAL': ('number', 'doubl... |
# -*- coding: utf-8 -*-
"""
Created on Tue Jul 24 12:35:04 2018
@author: Matthias N.
"""
import requests
from bs4 import BeautifulSoup
from fake_useragent import UserAgent
import asyncio
import concurrent.futures
import json, codecs
async def speedcrawl(pages):
data = []
for p in range(... |
from .src import dwarfgen
def process(*args, **kwargs):
return dwarfgen.process(*args, **kwargs)
|
import tesseract
api = tesseract.TessBaseAPI()
api.SetOutputName("outputName");
api.Init("E:\\Tesseract-OCR\\test-slim","eng",tesseract.OEM_DEFAULT)
api.SetPageSegMode(tesseract.PSM_AUTO)
mImgFile = "eurotext.jpg"
pixImage=tesseract.pixRead(mImgFile)
api.SetImage(pixImage)
outText=api.GetUTF8Text()
print("OCR output:\n... |
import math
import torch
from torch import Tensor
from .optimizer import Optimizer
from typing import List, Optional
class RAdam(Optimizer):
r"""Implements RAdam algorithm.
.. math::
\begin{aligned}
&\rule{110mm}{0.4pt} \\
... |
"""
Author: Darren
Date: 30/05/2021
Solving https://adventofcode.com/2016/day/6
Part 1:
Need to get most frequent char in each column, given many rows of data.
Transpose columns to rows.
Find the Counter d:v that has the max value, keyed using v from the k,v tuple.
Part 2:
As part 1, but using mi... |
from flask import Flask, render_template, redirect
from flask_pymongo import PyMongo, ObjectId
from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField
from wtforms.validators import ValidationError, URL
app = Flask(__name__)
app.config['SECRET_KEY'] = 'test'
app.config["MONGO_URI"] = "mongodb://14... |
"""added date_read_date
Revision ID: a544d948cd1b
Revises: 5c5bf645c104
Create Date: 2021-11-28 20:52:31.230691
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'a544d948cd1b'
down_revision = '5c5bf645c104'
branch_labels = None
depends_on = None
def upgrade()... |
from django.contrib.auth import get_user_model
from django.test import TestCase
from src.activities.models import Activity
from src.questions.models import Question, Answer
class QuestionVoteTest(TestCase):
def setUp(self):
self.user = get_user_model().objects.create_user(
username='test_user... |
#!/usr/bin/env python
import astropy.units as u
from typing import Union
from dataclasses import dataclass, field, is_dataclass
from cached_property import cached_property
import copy
from typing import ClassVar
from schema import Or
from tollan.utils.dataclass_schema import add_schema
from tollan.utils.log import ge... |
from hashlib import md5
def mine(secret: str, zero_count=5) -> int:
i = 0
target = '0' * zero_count
while True:
i += 1
dig = md5((secret + str(i)).encode()).hexdigest()
if dig.startswith(target):
return i
if __name__ == '__main__':
key = 'bgvyzdsv'
print(f'Par... |
import json
import os
def setAccount( persAcc, money, input=True ):
rez = True
if input == True:
persAcc += money
else:
if persAcc < money:
rez = False
else:
persAcc -= money
return persAcc, rez
# **********************************************
def setH... |
# Databricks notebook source
import pandas as pd
import random
# COMMAND ----------
# columns = ['id','amount_currency','amount_value','channel','deviceDetails_browser',
# 'deviceDetails_device','deviceDetails_deviceIp','merchantRefTransactionId','paymentMethod_apmType',
# 'paymentMethod_cardNum... |
import numpy as np
import cv2
def handle_image(input_image, width=60, height=60):
"""
Function to preprocess input image and return it in a shape accepted by the model.
Default arguments are set for facial landmark model requirements.
"""
preprocessed_image = cv2.resize(input_image, (width, height... |
class Solution:
def isPalindrome(self, x: int) -> bool:
if x < 0 or (x != 0 and x % 10 == 0):
return False
res = 0
# 1221
while x > res:
res *= 10
res += x % 10
x //= 10
if x == res or x == res // 10:
return True
... |
from model.contact import Contact
from random import randrange
def test_delete_some_contact(app):
app.contact.ensure_contact_exists(Contact(fname="contact to delete"))
old_contacts = app.contact.get_contact_list()
index = randrange(len(old_contacts))
app.contact.delete_contact_by_index(index)
asse... |
"""
Number Mind
""" |
#!/usr/bin/env python3
# Up / Down ISC graph for ALL bins
# Like SfN Poster Figure 2
# But now for all ROIs in Yeo atlas
import tqdm
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import deepdish as dd
from HMM_settings import *
ISCdir = ISCpath+'shuff_Yeo_outlier_'
figdir = figurepath+'up... |
"""
Created Aug 2020
@author: TheDrDOS
"""
# Clear the Spyder console and variables
try:
from IPython import get_ipython
#get_ipython().magic('clear')
get_ipython().magic('reset -f')
except:
pass
from time import time as now
from time import perf_counter as pnow
import pickle
import numpy as np
impo... |
# -*- coding: utf-8 -*-
import cv2
# トラックバーの値を変更する度にRGBを出力する
def changeColor(val):
r_min = cv2.getTrackbarPos("R_min", "img")
r_max = cv2.getTrackbarPos("R_max", "img")
g_min = cv2.getTrackbarPos("G_min", "img")
g_max = cv2.getTrackbarPos("G_max", "img")
b_min = cv2.getTrackbarPos("B_min", "img")
... |
# Developed by Joseph M. Conti and Joseph W. Boardman on 1/21/19 6:29 PM.
# Last modified 1/21/19 6:29 PM
# Copyright (c) 2019. All rights reserved.
import logging
import logging.config as lc
import os
from pathlib import Path
from typing import Union, Dict
import numpy as np
from yaml import load
class Singleto... |
# -*- coding: utf-8 -*-
# Resource object code
#
# Created by: The Resource Compiler for PyQt5 (Qt v5.15.0)
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore
qt_resource_data = b"\
\x00\x00\x07\x10\
\x89\
\x50\x4e\x47\x0d\x0a\x1a\x0a\x00\x00\x00\x0d\x49\x48\x44\x52\x00\
\x00\x00\x40\x... |
#!/usr/bin/python
# (c) 2018 Jim Hawkins. MIT licensed, see https://opensource.org/licenses/MIT
# Part of Blender Driver, see https://github.com/sjjhsjjh/blender-driver
"""Path Store unit test module. Tests in this module can be run like:
python3 path_store/test.py TestInterceptProperty
"""
# Exit if run other tha... |
from unittest.case import TestCase
from responsebot.handlers.base import BaseTweetHandler
from responsebot.handlers.event import BaseEventHandler
try:
from mock import MagicMock, patch
except ImportError:
from unittest.mock import MagicMock
class Handler(BaseTweetHandler):
class ValidEventHandler(BaseEv... |
# coding: utf-8
from cms.plugin_pool import plugin_pool
from cms.plugin_base import CMSPluginBase
from cmsplugin_bootstrap_grid.forms import ColumnPluginForm
from cmsplugin_bootstrap_grid.models import Row, Column
from django.utils.translation import ugettext_lazy as _
class BootstrapRowPlugin(CMSPluginBase):
mod... |
from scipy import spatial
from . import design
from .design import *
from .fields import *
schema = dj.schema('photixxx')
@schema
class Tissue(dj.Computed):
definition = """
-> design.Geometry
---
density : float # points per mm^3
margin : float # (um) margin to include on boundaries
min_dis... |
# Copyright 2017 The KaiJIN 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 applicable ... |
import pandas as pd
from plotly.subplots import make_subplots
import plotly.graph_objects as go
import modules.load_data_from_database as ldd
from db import connect_db
# connection with database
rdb = connect_db()
def day_figure_update(df, bar):
""" Update day figure depends on drop downs """
df_bar = df[df... |
import threading
import json
from socketIO_client import SocketIO, LoggingNamespace
class Cliente():
def __init__(self, ip):
self.socketIO = SocketIO(ip, 8000)
self.errors = ''
#thread_rcv= threading.Thread ()
#thread_rcv.daemon=True
#thread_rcv.start()
... |
import ctypes
import os
import warnings
from ctypes import (
byref, c_byte, c_int, c_uint, c_char_p, c_size_t, c_void_p, create_string_buffer, CFUNCTYPE, POINTER
)
from pycoin.encoding.bytes32 import from_bytes_32, to_bytes_32
from pycoin.intbytes import iterbytes
SECP256K1_FLAGS_TYPE_MASK = ((1 << 8) - 1)
SECP... |
from smach_based_introspection_framework.offline_part.model_training import train_anomaly_classifier
from smach_based_introspection_framework._constant import (
anomaly_classification_feature_selection_folder,
)
from smach_based_introspection_framework.configurables import model_type, model_config, score_metric
imp... |
from collections import deque
from time import perf_counter
def breadthFirstSearch(initialState, goalState, timeout=60):
# Initialize iterations counter.
iterations = 0
# Initialize visited vertexes as set, because it's faster to check
# if an item exists, due to O(1) searching complexity on average ... |
/home/runner/.cache/pip/pool/fd/94/44/56b7be5adb54be4e2c5a3aea50daa6f50d6e15a013102374ffe3d729b9 |
import FWCore.ParameterSet.Config as cms
def useTMTT(process):
from L1Trigger.TrackerDTC.Producer_Defaults_cfi import TrackerDTCProducer_params
from L1Trigger.TrackerDTC.Format_TMTT_cfi import TrackerDTCFormat_params
from L1Trigger.TrackerDTC.Analyzer_Defaults_cfi import TrackerDTCAnalyzer_params
Track... |
from datetime import timedelta
import matplotlib.gridspec as gridspec
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import numpy as np
from matplotlib import rcParams
__author__ = 'Ben Dichter'
class BrokenAxes:
def __init__(self, xlims=None, ylims=None, d=.015, tilt=45,
su... |
# Copyright 2014-2015 ARM Limited
#
# 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 w... |
from sklearn.cluster import KMeans
from sklearn.mixture import GaussianMixture
from sklearn.cluster import DBSCAN
from .MetadataExtractor import Extractor
from .DataCleaner import cleaner, limited_cleaner
from joblib import dump, load
def predictor(extractor, name):
data = cleaner(extractor).drop_duplicates... |
# Copyright (c) 2021, Manfred Moitzi
# License: MIT License
from typing import (
Iterable,
List,
TYPE_CHECKING,
Tuple,
Iterator,
Sequence,
Dict,
)
import abc
from typing_extensions import Protocol
from ezdxf.math import (
Vec2,
Vec3,
linspace,
NULLVEC,
Vertex,
inter... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2017/12/30 21:02
# @Author : WIX
# @File : 青蛙跳.py
"""
青蛙跳台阶, 每次可以跳1级或2级,求青蛙跳上一个n级的台阶一共有多少种跳法？
当n > 2时，第一次跳就有两种选择：
1. 第一次跳1级，后面的跳法相当于剩下n-1级的跳法，即f(n-1)
2. 第一次跳2级，后面的跳法相当于剩下n-2级的跳法，即f(n-2)
即f(n) = f(n-1) + f(n-2)
"""
class Solution(object):
def jumpfrog... |
# coding: utf-8
# import models into model package
from .error_enveloped import ErrorEnveloped
from .health_check_enveloped import HealthCheckEnveloped
from .inline_response200 import InlineResponse200
from .inline_response200_data import InlineResponse200Data
from .inline_response201 import InlineResponse201
from .in... |
__author__ = 'Bohdan Mushkevych'
from odm.document import BaseDocument
from odm.fields import StringField, ObjectIdField, DateTimeField
TIMEPERIOD = 'timeperiod'
START_TIMEPERIOD = 'start_timeperiod'
END_TIMEPERIOD = 'end_timeperiod'
FLOW_NAME = 'flow_name'
STATE = 'state'
CREATED_AT = 'created_at'
STARTED_AT = 'sta... |
''' This module generates charts from cohort.pickle rather than from the cumulative csvs.
'''
import os
import pandas as pd
import matplotlib.pyplot as plt
from plot_practice_charts import *
from ethnicities import high_level_ethnicities
wave_column_headings = {
"total": "All",
"all_priority": "Priority grou... |
# nxpy_svn --------------------------------------------------------------------
# Copyright Nicola Musatti 2010 - 2018
# Use, modification, and distribution are subject to the Boost Software
# License, Version 1.0. (See accompanying file LICENSE.txt or copy at
# http://www.boost.org/LICENSE_1_0.txt)
# See https://git... |
# -*- Python -*-
# license
# license.
"""
Files opening and reading/writing functions.
"""
import sys, os, bz2, lzma, json
import logging; module_logger = logging.getLogger(__name__)
# ======================================================================
def open_for_reading_binary(filename):
"""Opens binary fi... |
# get largest continues sum
def pair_sum(arr, target):
seen = set()
output = set()
for num in arr:
diff = target - num
if diff not in seen:
print('adding diff',diff)
seen.add(num)
else:
print('adding output',diff, seen)
outpu... |
#!/usr/bin/env python
"""Archive Now for python"""
# import pyhesity wrapper module
from pyhesity import *
from datetime import datetime
# command line arguments
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('-v', '--vip', type=str, required=True) # cluster to connect to
parser.add_argu... |
# https://www.hackerrank.com/challenges/sherlock-and-anagrams/problem
def anagramPairs(s):
# Write your code here
dic = {}
res = 0
for k in range(1, len(s)):
for i in range(len(s)-k+1):
j = i+k
strr = "".join(sorted(s[i:j]))
dic[strr] = dic.get(strr,0)+1
f... |
"""
/******************************************************************************
* *
* Name: mylogger.py *
* ... |
#!/usr/bin/env python
"""Celery worker to be run as follows:
(venv) $ celery worker -A pili.entrypoints.celery.celery --loglevel=info
Environment variables (such as MAIL_SERVER, MAIL_USERNAME, etc.)
should be set using export:
(venv) $ export MAIL_SERVER=smtp.youserver.com
'export' keyword in bash sets a variable t... |
import asyncio
import http
import aiohttp.client
import urllib.robotparser
import datetime
import collections
import logging
import abc
logger = logging.getLogger(__name__)
import site_graph
class RequestQueue:
"""A queue of pending HTTP requests, that maintains a minimum interval between outgoing requests
I... |
import numpy as np
from scratch_ml.utils import covariance_matrix
class PCA():
"""A method for doing dimensionality reduction by transforming the feature
space to a lower dimensionality, removing correlation between features and
maximizing the variance along each feature axis."""
def transform(self, ... |
import logging
import argparse
from s3push.connector import resource
from s3push.uploader import upload
from s3push.eraser import erase
parser = argparse.ArgumentParser(
description='Upload directories and files to AWS S3')
parser.add_argument(
'path',
type=str,
help='Path to a directory of file tha... |
# parses vcontrold serial data
import struct
from scapy.packet import Packet, bind_layers
from scapy.fields import *
START_BYTE = 0x41
TYPES = {
0x00: "request",
0x01: "response",
0x03: "error"
}
COMMANDS = {
0x01: "readdata",
0x02: "writedata",
0x07: "functioncall"
}
class VS2Header(Packet... |
import os
def exists_or_create_directory(temp_path: str) -> None:
directory = os.path.dirname(temp_path)
try:
os.stat(directory)
except Exception as exp:
os.mkdir(directory)
print(str(exp) + f" -> {directory} created...") |
from collections import defaultdict
raw_template = []
rules = []
with open("input") as file:
raw_template = list(next(file).strip())
for line in file:
line = line.strip()
if not line:
continue
left, right = line.split("->")
left = left.strip()
right = right.... |
# 쿼드압축 후 개수 세기
def quadtree(arr):
l = len(arr)
if l == 1: return [1,0] if arr[0][0] == 0 else [0,1]
lu = quadtree([a[:l//2] for a in arr[:l//2]])
ru = quadtree([a[l//2:] for a in arr[:l//2]])
ld = quadtree([a[:l//2] for a in arr[l//2:]])
rd = quadtree([a[l//2:] for a in arr[l//2:]])
if l... |
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 11 16:31:58 2021
@author: snoone
"""
import os
import glob
import pandas as pd
pd.options.mode.chained_assignment = None # default='warn'
OUTDIR3= "D:/Python_CDM_conversion/monthly/cdm_out/cdm_head"
OUTDIR2= "D:/Python_CDM_conversion/monthly/cdm_out/cdm_ob... |
#EsmeeEllson
#Help
#Class Attributes
#You can instantiate with AsciiTable(table_data) or AsciiTable(table_data, 'Table Title').
#These are available after instantiating AsciiTable.
Name Description/Notes
table_data = List of list of strings. Same object passed to __init__().
title = Table title string.... |
# -*- coding: utf-8 -*-
"""
Created on Thu Oct 21 18:32:33 2021
@author: User
"""
# Expresiones generadoras
# El módulo itertools
itertools.chain(s1,s2)
itertools.count(n)
itertools.cycle(s)
itertools.dropwhile(predicate, s)
itertools.groupby(s)
itertools.ifilter(predicate, s)
itertools.imap(function, s1, ... sN)
ite... |
"""Implementation of the Unet in torch.
Author: zhangfan
Email: zf2016@mail.ustc.edu.cn
data: 2020/09/09
"""
import torch
import torch.nn as nn
from network.blocks.residual_blocks import ResFourLayerConvBlock
class UNet(nn.Module):
"""UNet network"""
def __init__(self, net_args={"num_class": 1,
... |
import re
from textwrap import dedent
import black
import autopep8
from pkg_resources import resource_string
def get_snippet(name, decorator=True):
'Get a Python snippet function (as a string) from the snippets directory.'
out = resource_string('matflow_defdap', f'snippets/{name}').decode()
if not decor... |
# -*- coding:utf-8 -*-
from timeit import default_timer
import numpy as np
import matplotlib.pyplot as plt
from scipy.misc import face
# Importing global thresholding algorithms
from .global_th import otsu_threshold, p_tile_threshold,\
two_peaks_threshold, min_err_threshold
# Importing global entropy threshold... |
#!/usr/bin/python
import paho.mqtt.publish as publish
import paho.mqtt.client as mqtt
import ssl
auth = {
'username':"ciscohackhub.azure-devices.net/lora1",
'password':"SharedAccessSignature sr=ciscohackhub.azure-devices.net%2Fdevices%2Flora1&sig=xxxx&se=1463048772"
}
tls = {
'ca_certs':"/etc/ssl/certs/ca-cert... |
def input1(type = int):
return type(input())
def input2(type = int):
[a, b] = list(map(type, input().split()))
return a, b
def input3(type = int):
[a, b, c] = list(map(type, input().split()))
return a, b, c
def input_array(type = int):
return list(map(type, input().split()))
def input_string():
s = in... |
from sklearn.base import BaseEstimator, TransformerMixin
import re
class TextCleaner(BaseEstimator, TransformerMixin):
''' text cleaning :
input can be str, list of sring, or pandas Series
a minimal version, repacing only '\n' with ' '
'''
def __init__(self):
print('')
def f... |
import torch
import torch.optim as optim
from torch.optim.lr_scheduler import LambdaLR
from allenact.algorithms.onpolicy_sync.losses import PPO
from allenact.algorithms.onpolicy_sync.losses.ppo import PPOConfig
from allenact.utils.experiment_utils import (
Builder,
PipelineStage,
TrainingPipeline,
Line... |
import py.path
import pytest
from .conftest import TEST_PLAYBOOKS
MODULES_PATH = py.path.local(__file__).realpath() / '..' / '..' / 'plugins' / 'modules'
def find_all_modules():
for module in MODULES_PATH.listdir(sort=True):
module = module.basename
if module.endswith('.py') and not module.start... |
#!/usr/bin/env python
# Copyright 2014-2018 The PySCF Developers. 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
#
# U... |
import os
import sys
import time
import glob
import numpy as np
import pandas as pd
import torch
import utils
import logging
import argparse
import torch.nn as nn
import torch.utils
import torch.nn.functional as F
import torchvision.datasets as dset
import torch.backends.cudnn as cudnn
from copy import deepcopy
from nu... |
"""
hhpy
~~~~~~
The hhpy package - a Python package developed by Henrik Hanssen centered around the idea of providing
unified and convenient tools for Data Science
"""
from hhpy.main import *
from hhpy.ds import *
from hhpy.ipython import *
from hhpy.modelling import *
from hhpy.plotting import *
from hhpy.regression... |
"""
Copyright 2017 Nikolay Stanchev
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, softwa... |
import importlib
from pathlib import Path
from airflow.hooks.base import BaseHook
from astro.databases.base import BaseDatabase
from astro.utils.path import get_class_name, get_dict_with_module_names_to_dot_notations
DEFAULT_CONN_TYPE_TO_MODULE_PATH = get_dict_with_module_names_to_dot_notations(
Path(__file__)
)... |
from PySide2 import QtWidgets
import maya.cmds as cmds
class MyWindow(QtWidgets.QDialog):
def __init__(self, parent=None):
super(MyWindow, self).__init__(parent)
lay = QtWidgets.QHBoxLayout(self)
self._line = QtWidgets.QLineEdit('', self)
self._line.setPlaceholde... |
# Copyright 2021 The TensorFlow 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 applica... |
"""AVMATH
Avmath is a Python module for mathematical purposes.
It contains functionalities for simple mathematical
usage as sine or logarithm functions and submodules
for more advanced applied math in the topics of ana-
lysis and linear algebra.
The module uses a mathematical syntax. The classes
and functions are nam... |
"""
This script deploys all the AWS instances required for a single distributed experiment and runs the docker container
on the instances.
The experiment is one of inner_product / quadratic / kld / dnn.
The user could choose whether to run the coordinator on a strong EC2 instance, or on an ECS Fargate instance.
"""
imp... |
from .models import Answer, Landscape
def landscape_boundary(landscape_name):
"""
Return landscape boundary as GeoJSON
:param landscape_name:
:return:
"""
landscape_boundaries = Landscape.objects.raw("""SELECT
id,
... |
import random, string
from datetime import datetime
import pytz
import json
import types
from unittest import TestCase
from unittest.mock import patch
from plaw.wrapper import Plaw, InvalidGrant, InvalidToken
class TestPlaw(TestCase):
# helper
def generate_random_token(self, length=16):
return ''.jo... |
# encoding: utf-8
# Duke the dog
# Este código va destinado al reconocimiento de un perro por su color de pelaje,
# eliminando todo ruido causado por el ambiente.
# Todo mediante la librería open cv en Python..subl
# Programador Sergio Luis Beleño Díaz
# Enero.2019
'''
Para empezar se importan las librerías de Open... |
from chemlib.chemistry import Combustion, Compound, Reaction
from chemlib.utils import reduce_list
# TODO: TEMP IMPLEMENTATIONS, NEED TO CONSIDER ADDITIONAL METHODS/CALCULATIONS
# INTERFACE?
def combustion_analysis(CO2, H2O) -> str:
molesC = Compound("CO2").get_amounts(grams = CO2)["moles"]
molesH = (Compou... |
__all__ = [ 'assign','smart_assign','LCA','linkable',
'Assign','SmartAssign','Linkable',
'join_name',
'Component',
'Input','Output','UInt','SInt','IOGroup','Parameter','Wire','Reg',
'And','Or','Greater','Less','GreaterEqual','LessEqual','NotEqual','Equal',
... |
import numpy as np
import torch
import torch.nn as nn
from .anchor_head_template import AnchorHeadTemplate
class GradReverse(torch.autograd.Function):
def __init__(self, lambd):
self.lambd = lambd
def forward(self, x):
return x.view_as(x)
def backward(self, grad_output):
return (... |
# coding= utf-8
# author= Administrator
# date= 2021/3/15 17:38
from bs4 import BeautifulSoup
# 创建html字符串
html_doc = """
<!DOCTYPE html><!--STATUS OK-->
<html><head><meta http-equiv="Content-Type" content="text/html;charset=utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"><meta content="always... |
# Generated by Django 3.0.7 on 2020-06-30 17:03
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('portfolio', '0005_auto_20200630_1658'),
]
operations = [
migrations.AddField(
model_name='collection',
name='spotlig... |
from tool.runners.python import SubmissionPy
class DivSubmission(SubmissionPy):
def match(self, x):
s = str(x)
n = len(s)
if n != 6:
return False
# always increasing (or equal)
for i in range(n-1):
if s[i] > s[i+1]:
return False
... |
#take file called numbers.txt to start
fileName = "numbers.txt"
def main():
global fileName
fileInput = open(fileName, 'r')
numAry = []
for line in fileInput.readlines():
numAry.append(eval(line))
maxInt = findMax(numAry, 0, len(numAry)-1)
print("The Max Value Is " + str... |
#!/usr/bin/python2.7
# coding:utf-8
import logging
from time import sleep
from RPi import GPIO
from cmdtree import INT
from cmdtree import command
from cmdtree import entry
from cmdtree import group
from cmdtree import option
GPIO_CONTROL_PORT = 12
FAN_ON_TEMPERATURE = 55
def get_cpu_temp():
... |
from copy import deepcopy
from torch import nn
import numpy as np
import math
import torch
from torch.utils.data import dataset
from torch.utils.data.dataset import Subset
from torch.utils.data import DataLoader
# def compare_models(model: nn.Module, clients: 'list[Client]', num: int):
# def print_params(model... |
#!/usr/bin/env python3
# Copyright 2018 Brocade Communications Systems LLC. 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 also obtain a copy of the License at
# http://www.apache.org/licenses/LICENS... |
import json
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
from django.core.paginator import Paginator
from django.db import IntegrityError
from django.http import HttpResponse, HttpResponseRedirect, JsonResponse
from django.shortcuts import render... |
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