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== IronPython ==

IronPython is [http://hugunin.net/index.html JimHugunin's] implementation of Python on the .NET CLR.

You can download IronPython from http://ironpython.com/

Early results are promising, showing great performance, even better than CPython 2.3 on the Pystone benchmark, but remember this is an early prototype, not a full implementation.

These results caused a flurry of discussion, which has since died down, pending more information from Jim.
 * http://www.python.org/~jeremy/weblog/031209a.html
 * http://www.hole.fi/jajvirta/weblog/20031210T0901.html
 * http://primates.ximian.com/~miguel/archive/2003/Dec-09.html

== Other Python-Like Languages for .NET/Mono ==

Some other Python-like languages for .NET and Mono include:
 * BooLanguage - Syntax is very similar to Python's, yet the language is statically compiled. It implements many features that have been suggested for ["Python3.0"]. See [http://boo.codehaus.org/Gotchas+for+Python+Users Gotchas for Python Users] for specific comparisons between boo and CPython.
 * [http://www.prothon.org/ Prothon] - now defunct

== Accessing .NET from CPython ==

[http://www.zope.org/Members/Brian/PythonNet/index_html Python for .NET] is the reverse of IronPython, it lets you access .NET assemblies from CPython.


----

See also: PythonAndParrot, LoGix
# Reads: SLAllSort.csv
#
# Writes to:
# DBTestM.csv
# CalcList.csv
# MultList.txt
# MultSummary.txt



import os,sys
from Tkinter import *
from string import *
from Permute import *

class FileCombo(Frame):


    def __init__(self,parent=None):

        Frame.__init__(self,parent)
        print 'Choices are:'
        print ' 1. Convert Sorted Combined list to Species No. and Subspecies No'
        print ' creates DBTestM.csv '
        print ' 2. Make two lists: All species detected - Species and All sites detected - Sites.'
        print ' Then Adds data from CDMS (Intensity,Smu2 and Einstein A) from DBTestM.csv'
        print ' creates CalcList.csv '
        print ' 3. Reads CalcList.csv and identifies all lines in a site that have 3 or more lines'
        print ' creates MultList.txt and a Summary MultSummary.txt. '
        print ' 4. Run each in sequence'
##
        Sel=raw_input('Choice')
        Ch=eval(Sel)
        if Ch==1:
            self.XDBAccess()
            exit()
        if Ch==2:
            self.MakeSiteList()
            self.CalculationList()
            quit()
        if Ch==3:
            self.FindMultiples()
            quit()
        if Ch==4:
            self.XDBAccess()
            self.MakeSiteList()
            self.CalculationList()
            self.FindMultiples()
            quit()
    def XDBAccess(self):
        # GoodCombineAllSorted is a combination of the three SLCombine files cleaned for errors. Sorted by: Species, RestF site.
        # Two columns are added at the beginning of each line of the form shown below.
        # The result is saved in Lines
        F1='/home/ghurtig3/Desktop/NewASAP_09/DATA/GoodCombineAllSorted.csv'
        FL1=open(F1,'r')
        sa=FL1.readlines()
        Lines2=[]
        la=len(sa)
        print len(sa)
 #Strip whitespaces
        i=0
        while i < la:

            sb=sa[i].strip()
            Lines2.append(sb)
            i=i+1
            continue


        Lines=[]
        #print len(Lines2)
        # Create a csv file Starting with [ 1, 0, Site, .....]
        i=0
        for line in Lines2:
            line=line.split("\t")
            #line1=line[0][0:-1]
            #print line
            #Lis1="1"+","+"0"+","
            Lis1= "0"
            line.insert(0,Lis1)
            Lis1="1"
            line.insert(0,Lis1)
            #print line
            #raw_input("Pause1")
            #Lines1=Lis1.split(",")
            #Now creatine file Lines
            Lines.append(line)
            i=i+1
            continue



            #Lines[x][0]=Specie #
            #Lines[x][1]=Sub Specie
            #Lines[x][2]=Site
            #Lines[x][3]=Specie
            #Lines[x][4]=Rest Freq
            #Lines[x][5]=Obs Freq
            #Lines[x][6]=DelF
            #Lines[x][7]=Intensity
            #Lines[x][8]=FWHM
            #Lines[x][9]=DelV
            #Lines[x][10]=Area
            #Lines[x][11]=Offset
            #Lines[x][12]=Normalize

        FL1.close()
        #print i
        #raw_input("Pause2")
        # A sub specie is added to the masterdatabase and written to 'DBTestM.csv'
        i=0 #Line #

        LL=len(Lines)
        #print Lines
        #print LL
        #print Lines[LL-2]
        k=0 #SubSpecie #
        m=0 #Specie #
        while i< LL-3: #Line #
            #print "i= ",i
            if Lines[i][3]==Lines[i+1][3]: #Tests for specie change:
                Lines[i+1][1]=0
                Lines[i][0]=m
                Lines[i+1][0]=m
                if Lines[i][4]==Lines[i+1][4]:#Tests for sub specie change

                    Lines[i][1]=k
                    Lines[i+1][1]=k

                else:
                    Lines[i][1]=k
                    Lines[i+1][1]=k+1

                    k=k+1
                i=i+1
                continue
            else:
                Lines[i+1][0]=m+1
                Lines[i][1]=k
                k=0
                Lines[i+1][1]=k
                m=m+1
                k=k+1
                i=i+1

            #Lines[i][1]=k
            #k=0
            continue

        print i, k, m
        raw_input("Pause3")
        F6='/home/ghurtig3/Desktop/NewASAP_09/DATA/DBTestM.csv'
        FL6=open(F6,'w')

        j=0

        while j< LL-3:

            FR=str(Lines[j][0])+','+str(Lines[j][1])+','+str(Lines[j][2])+','+str(Lines[j][3])+','+str(Lines[j][4])+','+str(Lines[j][5])+','+str(Lines[j][6])+','+str(Lines[j][7])+','+str(Lines[j][8])+','+str(Lines[j][9])+','+str(Lines[j][10])+','+str(Lines[j][11])+"\n"
            FL6.write(FR)
            #print FR
            #print j
            #print Lines[j]

            #raw_input('Pause')
            j=j+1
            continue

        FL6.close()
        return



    def MakeSiteList(self):
# This creates two internal lists from DBTestM.csv. Species is
# all of the species detected and Sites is all of the sites read.
        F1='/home/ghurtig3/Desktop/NewASAP_09/DATA/DBTestM.csv'
        FL1=open(F1,'r')
        Lines=[]
        Sites=[]
        Species=[]
        i=0
        for line in FL1:
            line=line.split(',')
            Lines.append(line)
            if line[2] in Sites:
                i=i+1

                continue
            else:
                Sites.append(line[2])

                i=i+1

            continue
        FL1.close()
        F1='/home/ghurtig3/Desktop/NewASAP_09/DATA/DBTestM.csv'
        FL1=open(F1,'r')
        i=0
        for line in FL1:
            line=line.split(',')
            Lines.append(line)
            if line[3] in Species:
                i=i+1

                continue
            else:
                Species.append(line[3])

                i=i+1

            continue
        FL1.close()
        self.Sites=Sites
        self.Species=Species
        print Sites
        print Species
        return
    def CalculationList(self):
#This def takes the observation data that has been cleaned and put
#into DBTestM.csv and combines each specie and sub-specie with the
#data from CDMS (Intensity, Smu2 and Einsteins A. Puts data into
# CalcList.csv.

        T1=[]
        F3='/home/ghurtig3/Desktop/NewASAP_09/DATA/DBTestM.csv'
        FL3=open(F3,'r')
        F2='/home/ghurtig3/Desktop/NewASAP_09/DATA/CalcList.csv'
        FL2=open(F2,'w')
        Lines=[]
        for line in FL3:
            T1.append("0")
            line1=line.split(',')
            Lines.append(line1)

        LL=len(Lines)
        print LL
        Sites=self.Sites

        A=""
        B=""
        print type(Sites)
        for Si in Sites:
            H1='Site= '+Si


            for Sp in self.Species:
                Head=' Species= '+Sp+'\n'

                i=1

                while i< LL-1:


                    if (Lines[i][2]==Si) and (Lines[i][3]==Sp):
                        if (Lines[i][2] == A) is False:
                            print
                            print
                            print '***** ',Lines[i][2],' *****'
                            print Lines[i][3]

                            Freq=eval(Lines[i][4])

                            L=Lines[i]
                            E=L.pop()
                            E=E[:-2]
                            L.append(E)

                            B=Lines[i][3]
                        if((Lines[i][3]==B))is False:
                            print
                            print Lines[i][3]

                        Freq=eval(Lines[i][4])

                        L=Lines[i]
                        E=L.pop()
                        E=E[:-2]
                        L.append(E)

                        DBLine=self.ReadCDMS(Freq)
                        print Freq
                        if DBLine==None:
                            DBLine=['Not in CDBMS']
                            print DBLine

                        T1[i]=L+DBLine



                        Ln=Lines[i]
                        A=Lines[i][2]
                        B=Lines[i][3]
                        Ln=str(Ln)

                        FL2.write(str(T1[i])+'\n')

                        i=i+1

                        continue
                    else:
                        i=i+1

                        continue





        FL3.close()
        FL2.close()
        #Lines[x][0]=Specie #
        #Lines[x][1]=Sub Specie
        #Lines[x][2]=Site
        #Lines[x][3]=Specie
        #Lines[x][4]=Rest Freq
        #Lines[x][5]=Obs Freq
        #Lines[x][6]=DelF
        #Lines[x][7]=Intensity
        #Lines[x][8]=FWHM
        #Lines[x][9]=DelV
        #Lines[x][10]=Area
        #Lines[x][11]=Offset
        #Lines[x][12]=Normalize
        #Lines[x][13]=Rest Freq
        #Lines[x][14]=log(intensity)
        #Lines[x][15]=log(Smu2)
        #Lines[x][16]=log(A)
        #Lines[x][17]=El
        #Lines[x][18]=gup
        #Lines[x][19]=Quant Nos
        #Lines[x][20]=Species
        #Lines[x][21]=Vt
        #Lines[x][22]=V

    def FindMultiples(self):
#This def is created by DBA.py and reads CalcList.csv
#and then identifies all species that have 3 or more
#lines in a site.It writes these in MultList.txt and
#summarizes the data in MultSummary.txt
#Species is entered at tests are reported.
        SP=raw_input('Species? ')
        F1='/home/ghurtig3/Desktop/NewASAP_09/DATA/MultList.txt'
        FL1=open(F1,'w')
        F2='/home/ghurtig3/Desktop/NewASAP_09/DATA/CalcList.csv'
        FL2=open(F2,'r')
        F3='/home/ghurtig3/Desktop/NewASAP_09/DATA/MultSummary.txt'
        FL3=open(F3,'w')
        F4='/home/ghurtig3/Desktop/NewASAP_09/DATA/MultLines.txt'
        FL4=open(F4,'w')
        Lines=[]
        Lines=FL2.readlines()

        LL=len(Lines)
        print LL

        L2=Lines[0].split(',')
        #print L2[2]
        N1=[]
        L4=[]
        N3=[]
        i=1
        k=1
        while i<LL:
            L1=Lines[i].split(',')

            if L1[12]==" ''": #Checks for a ratio.
                i=i+1

                continue
            if L1[3]==L2[3]:

                k=k+1
                if k==3:




                    N1=[]
                    FL1.write(Lines[i-2]+'\n')
                    FL1.write(Lines[i-1]+'\n')

                    FL1.write(Lines[i]+'\n')
                    LM2=Lines[i-2].split(',')
                    LM1=Lines[i-1].split(',')
                    LM0=Lines[i].split(',')

                    N6=LM2[12]

                    N7=N6[1:]
                    N7=N7[:-2]


                    if N7 != "'Not in CDBMS'":


                        N6=N6[1:]
                        N6=eval(N6)
                        N1.append(N6)

                    N6=LM1[12]
                    N7=N6[1:]
                    N7=N7[:-2]

                    if N7 != "'Not in CDBMS'":
                        N6=N6[1:]
                        N6=eval(N6)
                        N1.append(N6)

                    N6=LM0[12]
                    N7=N6[1:]
                    N7=N7[:-2]

                    if N7 != "'Not in CDBMS'":
                        N6=N6[1:]
                        N6=eval(N6)
                        N1.append(N6)

                if k>3:

                    FL1.write(Lines[i]+'\n')
                    #LM=Lines[i].split(',')
                    N6=L1[12]
                    N7=N6[1:]
                    N7=N7[:-2]

                    if N7 != "'Not in CDBMS'":
                        N6=N6[1:]
                        N6=eval(N6)

                        N1.append(N6)

                L2=L1

                i=i+1
                continue

            else:

                if k>2:

                    FL3.write(L2[2]+','+L2[3]+','+str(k)+'\n')
                    L3=L2[3][2:]
                    L3=L3[:-1]
                    if L3==SP:
                        N2=L2[2]

                        N2=N2.replace('.','')
                        N2=N2.replace('gau','')

                        L4.append(N2) #L4 is a list of sites containing SP
                        N3.append(N1) #N3 is a list of intensities for each site.


                k=1
                L2=L1
                i=i+1

                continue





        FL1.close()
        FL2.close()
        FL3.close()
        #Perm(L4,N3)#Calculates pair statistics


        exit()
    def ReadCDMS(self,Freq):

        Lines1=[]
        Lines1=self.ReadCDMSData()
        DBLine=self.FindLine(Freq, Lines1)

        return DBLine
    def ReadCDMSData(self):

        F1='CDMS_ISA.txt'
        FL1=open(F1, 'r')
        Lines1=[]
        i=0
        for line in FL1:
            line=capwords((line))
            line=line.split(',')

            if line[0]=="":
                continue
            else:

                Lines1.append(line)
                i=i+1
                continue
        return Lines1

    def FindLine(self,Fr1,Lines1): #finds a line in the CDMS for a particular frequency.


        i=1

        while i < len(Lines1):

            if abs(eval(Lines1[i][0])-Fr1)<0.25:

                #print Lines[i]

                return Lines1[i]

            else:
                i=i+1
                continue
        #raw_input('P')
        return


if __name__ == '__main__':

    FileCombo().mainloop()

# # Writes to: # DBTestM.csv # CalcList.csv # MultList.txt # MultSummary.txt

import os,sys from Tkinter import * from string import * from Permute import *

class FileCombo(Frame):

  • def init(self,parent=None):

    • Frame.init(self,parent) print 'Choices are:' print ' 1. Convert Sorted Combined list to Species No. and Subspecies No' print ' creates DBTestM.csv ' print ' 2. Make two lists: All species detected - Species and All sites detected - Sites.' print ' Then Adds data from CDMS (Intensity,Smu2 and Einstein A) from DBTestM.csv' print ' creates CalcList.csv ' print ' 3. Reads CalcList.csv and identifies all lines in a site that have 3 or more lines' print ' creates MultList.txt and a Summary MultSummary.txt. ' print ' 4. Run each in sequence'

  • def XDBAccess(self):
    • # GoodCombineAllSorted is a combination of the three SLCombine files cleaned for errors. Sorted by: Species, RestF site. # Two columns are added at the beginning of each line of the form shown below. # The result is saved in Lines F1='/home/ghurtig3/Desktop/NewASAP_09/DATA/GoodCombineAllSorted.csv' FL1=open(F1,'r') sa=FL1.readlines() Lines2=[] la=len(sa) print len(sa) #Strip whitespaces i=0 while i < la:

      • sb=sa[i].strip() Lines2.append(sb) i=i+1 continue
      Lines=[] #print len(Lines2) # Create a csv file Starting with [ 1, 0, Site, .....] i=0 for line in Lines2:
      • line=line.split("\t") #line1=line[0][0:-1] #print line #Lis1="1"+","+"0"+"," Lis1= "0" line.insert(0,Lis1) Lis1="1" line.insert(0,Lis1) #print line #raw_input("Pause1") #Lines1=Lis1.split(",") #Now creatine file Lines Lines.append(line) i=i+1 continue #Lines[x][0]=Specie # #Lines[x][1]=Sub Specie #Lines[x][2]=Site #Lines[x][3]=Specie #Lines[x][4]=Rest Freq #Lines[x][5]=Obs Freq #Lines[x][6]=DelF #Lines[x][7]=Intensity #Lines[x][8]=FWHM #Lines[x][9]=DelV #Lines[x][10]=Area #Lines[x][11]=Offset #Lines[x][12]=Normalize
      FL1.close() #print i #raw_input("Pause2") # A sub specie is added to the masterdatabase and written to 'DBTestM.csv' i=0 #Line # LL=len(Lines) #print Lines #print LL #print Lines[LL-2]

      k=0 #SubSpecie # m=0 #Specie # while i< LL-3: #Line #

      • #print "i= ",i if Lines[i][3]==Lines[i+1][3]: #Tests for specie change:
        • Lines[i+1][1]=0 Lines[i][0]=m Lines[i+1][0]=m if Lines[i][4]==Lines[i+1][4]:#Tests for sub specie change
          • Lines[i][1]=k Lines[i+1][1]=k
          else:
          • Lines[i][1]=k Lines[i+1][1]=k+1 k=k+1
          i=i+1 continue
        else:
        • Lines[i+1][0]=m+1 Lines[i][1]=k k=0 Lines[i+1][1]=k m=m+1 k=k+1 i=i+1
        #Lines[i][1]=k #k=0 continue
      print i, k, m raw_input("Pause3") F6='/home/ghurtig3/Desktop/NewASAP_09/DATA/DBTestM.csv' FL6=open(F6,'w') j=0

      while j< LL-3:

      • FR=str(Lines[j][0])+','+str(Lines[j][1])+','+str(Lines[j][2])+','+str(Lines[j][3])+','+str(Lines[j][4])+','+str(Lines[j][5])+','+str(Lines[j][6])+','+str(Lines[j][7])+','+str(Lines[j][8])+','+str(Lines[j][9])+','+str(Lines[j][10])+','+str(Lines[j][11])+"\n" FL6.write(FR) #print FR #print j #print Lines[j] #raw_input('Pause') j=j+1 continue
      FL6.close() return

    def MakeSiteList(self):

# This creates two internal lists from DBTestM.csv. Species is # all of the species detected and Sites is all of the sites read.

  • F1='/home/ghurtig3/Desktop/NewASAP_09/DATA/DBTestM.csv' FL1=open(F1,'r') Lines=[] Sites=[] Species=[] i=0 for line in FL1:
    • line=line.split(',') Lines.append(line) if line[2] in Sites:
      • i=i+1 continue
      else:
      • Sites.append(line[2]) i=i+1
      continue
    FL1.close() F1='/home/ghurtig3/Desktop/NewASAP_09/DATA/DBTestM.csv' FL1=open(F1,'r') i=0 for line in FL1:
    • line=line.split(',') Lines.append(line) if line[3] in Species:
      • i=i+1 continue
      else:
      • Species.append(line[3]) i=i+1
      continue
    FL1.close() self.Sites=Sites self.Species=Species print Sites print Species return

#This def takes the observation data that has been cleaned and put #into DBTestM.csv and combines each specie and sub-specie with the #data from CDMS (Intensity, Smu2 and Einsteins A. Puts data into # CalcList.csv.

  • T1=[] F3='/home/ghurtig3/Desktop/NewASAP_09/DATA/DBTestM.csv' FL3=open(F3,'r') F2='/home/ghurtig3/Desktop/NewASAP_09/DATA/CalcList.csv' FL2=open(F2,'w') Lines=[] for line in FL3:
    • T1.append("0") line1=line.split(',') Lines.append(line1)
    LL=len(Lines) print LL Sites=self.Sites A="" B="" print type(Sites) for Si in Sites:
    • H1='Site= '+Si for Sp in self.Species:
      • Head=' Species= '+Sp+'\n' i=1

        while i< LL-1:

        • if (Lines[i][2]==Si) and (Lines[i][3]==Sp):
          • if (Lines[i][2] == A) is False:
            • print print print '***** ',Lines[i][2],' *****' print Lines[i][3] Freq=eval(Lines[i][4]) L=Lines[i] E=L.pop() E=E[:-2] L.append(E) B=Lines[i][3]
            if((Lines[i][3]==B))is False:
            • print print Lines[i][3]
            Freq=eval(Lines[i][4]) L=Lines[i] E=L.pop() E=E[:-2] L.append(E) DBLine=self.ReadCDMS(Freq) print Freq if DBLine==None:
            • DBLine=['Not in CDBMS'] print DBLine
            T1[i]=L+DBLine Ln=Lines[i] A=Lines[i][2] B=Lines[i][3] Ln=str(Ln) FL2.write(str(T1[i])+'\n') i=i+1 continue
          else:
          • i=i+1 continue
    FL3.close() FL2.close() #Lines[x][0]=Specie # #Lines[x][1]=Sub Specie #Lines[x][2]=Site #Lines[x][3]=Specie #Lines[x][4]=Rest Freq #Lines[x][5]=Obs Freq #Lines[x][6]=DelF #Lines[x][7]=Intensity #Lines[x][8]=FWHM #Lines[x][9]=DelV #Lines[x][10]=Area #Lines[x][11]=Offset #Lines[x][12]=Normalize #Lines[x][13]=Rest Freq #Lines[x][14]=log(intensity) #Lines[x][15]=log(Smu2) #Lines[x][16]=log(A) #Lines[x][17]=El #Lines[x][18]=gup #Lines[x][19]=Quant Nos #Lines[x][20]=Species #Lines[x][21]=Vt #Lines[x][22]=V

#This def is created by DBA.py and reads CalcList.csv #and then identifies all species that have 3 or more #lines in a site.It writes these in MultList.txt and #summarizes the data in MultSummary.txt #Species is entered at tests are reported.

  • SP=raw_input('Species? ') F1='/home/ghurtig3/Desktop/NewASAP_09/DATA/MultList.txt' FL1=open(F1,'w') F2='/home/ghurtig3/Desktop/NewASAP_09/DATA/CalcList.csv' FL2=open(F2,'r') F3='/home/ghurtig3/Desktop/NewASAP_09/DATA/MultSummary.txt' FL3=open(F3,'w') F4='/home/ghurtig3/Desktop/NewASAP_09/DATA/MultLines.txt' FL4=open(F4,'w') Lines=[] Lines=FL2.readlines() LL=len(Lines) print LL L2=Lines[0].split(',') #print L2[2] N1=[] L4=[] N3=[] i=1 k=1

    while i<LL:

    • L1=Lines[i].split(',')

      if L1[12]==" ": #Checks for a ratio.

      • i=i+1 continue
      if L1[3]==L2[3]:
      • k=k+1 if k==3:
        • N1=[] FL1.write(Lines[i-2]+'\n') FL1.write(Lines[i-1]+'\n') FL1.write(Lines[i]+'\n') LM2=Lines[i-2].split(',') LM1=Lines[i-1].split(',') LM0=Lines[i].split(',') N6=LM2[12] N7=N6[1:] N7=N7[:-2] if N7 != "'Not in CDBMS'":
          • N6=N6[1:] N6=eval(N6) N1.append(N6)
          N6=LM1[12] N7=N6[1:] N7=N7[:-2] if N7 != "'Not in CDBMS'":
          • N6=N6[1:] N6=eval(N6) N1.append(N6)
          N6=LM0[12] N7=N6[1:] N7=N7[:-2] if N7 != "'Not in CDBMS'":
          • N6=N6[1:] N6=eval(N6) N1.append(N6)

        if k>3:

        • FL1.write(Lines[i]+'\n') #LM=Lines[i].split(',') N6=L1[12] N7=N6[1:] N7=N7[:-2] if N7 != "'Not in CDBMS'":
          • N6=N6[1:] N6=eval(N6) N1.append(N6)
        L2=L1 i=i+1 continue
      else:
      • if k>2:

        • FL3.write(L2[2]+','+L2[3]+','+str(k)+'\n') L3=L2[3][2:] L3=L3[:-1] if L3==SP:
          • N2=L2[2]

            N2=N2.replace('.',) N2=N2.replace('gau',) L4.append(N2) #L4 is a list of sites containing SP N3.append(N1) #N3 is a list of intensities for each site.

        k=1 L2=L1 i=i+1 continue
    FL1.close() FL2.close() FL3.close() #Perm(L4,N3)#Calculates pair statistics exit()
  • def ReadCDMS(self,Freq):
    • Lines1=[] Lines1=self.ReadCDMSData()

      DBLine=self.FindLine(Freq, Lines1) return DBLine

    def ReadCDMSData(self):
    • F1='CDMS_ISA.txt' FL1=open(F1, 'r') Lines1=[] i=0 for line in FL1:
      • line=capwords((line)) line=line.split(',') if line[0]=="":
        • continue
        else:
        • Lines1.append(line) i=i+1 continue
      return Lines1

    def FindLine(self,Fr1,Lines1): #finds a line in the CDMS for a particular frequency.

    • i=1

      while i < len(Lines1):

      • if abs(eval(Lines1[i][0])-Fr1)<0.25:

        • #print Lines[i] return Lines1[i]
        else:
        • i=i+1 continue
      #raw_input('P') return

if name == 'main':

IronPython (last edited 2022-09-25 12:38:41 by HuntBlanchat)

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