prevwong

// Get total `width` of all children
const getAccumulatedChildrenWidth = (helper, parentId) => {
  return helper(self.id).decendants().map(id => helper(id).get())
        .reduce((a, b) => a.data.props.width + b.data.props.width, 0);
}

const Grid = () => {
  return (
    <div>
      {children}

bollwyvl

Copyright 2019 dead pixels collective

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

bucho666

import macros

proc typeName(head: NimNode): NimNode =
  if head.len == 0: head else: head[1]

proc baseName(head: NimNode): NimNode =
  if head.len == 0: newIdentNode("RootObj") else: head[2]

proc isObjectDef(head: NimNode): bool =
  head.len == 0 or head[2].kind == nnkIdent

luiswolff

package de.wolff.wsst;

import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.InputStream;
import java.util.Arrays;
import java.util.Properties;
import java.util.regex.Pattern;

skuttruf

"""
Python code for fractional differencing of pandas time series
illustrating the concepts of the article "Preserving Memory in Stationary Time Series" 
by Simon Kuttruf

While this code is dedicated to the public domain for use without permission, the author disclaims any liability in connection with the use of this code.
"""

import numpy as np 
import pandas as pd

lfnoise

import system
import math


type 
  VArray[T] = ref object of RootObj
    len : int

  VSeries[T] = ref object of VArray[T]
    start, step: T

phausamann

:: Launch PyCharm from within conda environment

:: This will ensure that all necessary environment variables are set.
:: Modify the paths and environment name for your installation, if necessary.
:: This configuration is for PyCharm x64 installed with JetBrains Toolbox and 
:: will launch the latest installed version.

@set condaroot="%userprofile%\Anaconda3"
@set pycharmroot="%localappdata%\JetBrains\Toolbox\apps\PyCharm-P\ch-0"
@set env=base

mgoldey

# install mkl
RUN apt update && apt install -y --force-yes apt-transport-https && \
  wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB && \
  apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB && \
  sh -c 'echo deb https://apt.repos.intel.com/mkl all main > /etc/apt/sources.list.d/intel-mkl.list' && \
  apt-get update && DEBIAN_FRONTEND=noninteractive apt-get -y install cpio intel-mkl-64bit-2018.3-051 && \
  (find /opt/intel -name "ia32*" -exec rm -rf {} \; || echo "removing ia32 binaries") ; \
  (find /opt/intel -name "examples" -type d -exec rm -rf {} \; || echo "removing examples") ; \
  (find /opt/intel -name "benchmarks" -exec rm -rf {} \; || echo "removing benchmarks") ; \
  (find /opt/intel -name "documentation*" -exec rm -rf {} \; || echo "removing documentation") ; \

markotom

import React, { Component } from 'react'
import api from '~base/api'
import classNames from 'classnames'

import {
  BaseForm,
  TextWidget,
  EmailWidget,
  NumberWidget
} from '~base/components/base-form'

mbednarski