Odomontois

from xml.dom.minidom import parse, Node, Text as TextNode, Element as Element
from collections import namedtuple
import re

class SpecialQueryElement: pass

text = SpecialQueryElement()

def childQuery(node,query):
    if isinstance(query,str):

Odomontois

<xsl:transform version="1.0"
  xmlns:xsl="http://www.w3.org/1999/XSL/Transform"
  xmlns:sap="http://www.sap.com/sapxsl"
>

<xsl:strip-space elements="*"/>

<xsl:template match="ZHR_A07">
  <asx:abap xmlns:asx="http://www.sap.com/abapxml" version="1.0">
     <asx:values>

Odomontois

FUNCTION z_open_fi_interface_00001120.
*"----------------------------------------------------------------------
*"*"Локальный интерфейс:
*"  IMPORTING
*"     VALUE(I_BKDF) TYPE  BKDF OPTIONAL
*"  TABLES
*"      T_BKPF STRUCTURE  BKPF
*"      T_BSEG STRUCTURE  BSEG
*"      T_BKPFSUB STRUCTURE  BKPF_SUBST
*"      T_BSEGSUB STRUCTURE  BSEG_SUBST

Odomontois

<?xml version='1.0' encoding="UTF-8"?>

<xs:schema xmlns:xs="http://www.w3.org/2001/XMLSchema"
           targetNamespace="urn:ru:insys:iuspz:cntr:upload"
           version="0.1">

    <xs:simpleType name="attributeName">
        <xs:restriction base="xs:string">
            <xs:pattern value="[A-Z0-9_]+"/>
        </xs:restriction>

Odomontois

val studenten = Map("Otto" -> 10, "Anna" -> 11, "Bill" -> 4, "Stefan" -> 15)
def filteredKeys[K, V](map: Map[K, V])(filter: V => Boolean) = map.filter(pair => filter(pair._2)).keys.mkString(", ")
val filterStudenten = filteredKeys(studenten) _
println("lower than 10: " + filterStudenten(_ < 10))
println("higher than 10: " + filterStudenten(_ > 10))
println("exactly 15: " + filterStudenten( _ == 15))

Odomontois

val studenten = Map("Otto" -> 10, "Anna" -> 11, "Bill" -> 4, "Stefan" -> 15)
def filteredKeys[K, V](map: Map[K, V])(filter: V => Boolean) = map.filter(pair => filter(pair._2)).keys.mkString(", ")
val filterStudenten = filteredKeys(studenten) _
println("lower than 10: " + filterStudenten(_ < 10))
println("higher than 10: " + filterStudenten(_ > 10))
println("exactly 15: " + filterStudenten( _ == 15))

Odomontois

val studenten = Map("Otto" -> 10, "Anna" -> 11, "Bill" -> 4, "Stefan" -> 15)
def filteredKeys[K, V](map: Map[K, V])(filter: V => Boolean) = map.filter(pair => filter(pair._2)).keys.mkString(", ")
val filterStudenten = filteredKeys(studenten) _
println("lower than 10: " + filterStudenten(_ < 10))
println("higher than 10: " + filterStudenten(_ > 10))
println("exactly 15: " + filterStudenten( _ == 15))

Odomontois

%----Data----
{"S": 1379.9,
"X": 1500,
"u": [1.0036, 1.0044, 1.0060, 1.0056, 1.0064, 1.0087, 1.0102, 1.0114, 1.0126, 1.0133, 1.0151, 1.0150],
"pu": 0.4930,
"r": 2.8000e-04,
"deltaT":1
}

%------------

Odomontois

import scala.collection.mutable

/**
 * User: Oleg
 * Date: 1/12/14
 * Time: 3:32 AM
 */
object Probability {
  def main(args: Array[String]) {
    println(prob[Int, Double](.5, .8, 13, 10, 0))

Odomontois

import math.*
import scipy.optimize.*

def k2t(k):
   f = lambda t : gamma(1/t)*gamma(5/t)/gamma(3/t)**2-k-3
   return fsolve(f,2)