1. Open the first file
   
2. Read line by line and find all numbers.
   
3. Append these numbers to a list of integers, but keep the same order.
   
4. Then attach this list to a dictionary
   
   
5. Do the same tasks for the 2 others files and then save the dictionary which contains the 3 lists in a text file.
   

with open('file_one.txt', 'r') as reader:
    for line in reader:
        print(line, end='')

import os, inquirer, glob, shutil, datetime, pandas, re
from subprocess import *
from typing import List
from inquirer.themes import GreenPassion
from pathlib import Path

Odb_File_Path = str(os.getcwd())

Path = {}
Inp_File_Selected_WOext = ['File_001.inp', 'File_002.inp', 'File_003.inp']
Inp_Short_Names_File = ["Path_1.inp","Path_2.inp","Path_2.inp" ]

for i in range(len(Inp_Short_Names_File)):
    Numbers = []
    inFile = open(Inp_File_Selected_WOext[i])
    
    outFile = open(Inp_Short_Names_File[i], "w")
    
    keepCurrentSet = False
    for line in inFile:
        if line.startswith("*"):
            keepCurrentSet = False

        if keepCurrentSet:
            outFile.write(line)

        if line.startswith("*Nset, nset=PATH, unsorted"):
            keepCurrentSet = True
    inFile.close()
    outFile.close()

    with open(Inp_Short_Names_File[i]) as f:
        lines = f.read()
        
    with open(Inp_Short_Names_File[i], "w") as f:
        for line in lines:
            f.write(re.sub(',', '', line))    

    with open(Inp_Short_Names_File[i]) as f:
        lines = f.read()
        for z in lines.split():
           if z.isdigit():
              Numbers.append(int(z))
          
    with open(Inp_Short_Names_File[i], "w") as f:
        for line in lines:
            f.write(str(Numbers))             
   
    with open(Inp_Short_Names_File[i],"r") as f:
        lines = f.readlines()            
        Path[i] = lines

          

     
OutputFile = open(r'output.inp',"w")
OutputFile.write(str(Path))
OutputFile.close

import json
import re

integer_pattern = re.compile("[+-]?[0-9]+")

def get_numberes_from_file(filename):
    numbers = []
    with open(filename, "r") as file:
        for line in file:
            if line.startswith("*Nset"):
                break
        for line in file:
            if line.startswith("*Text"):
                break
            numbers += map(int, re.findall(integer_pattern, line))
    print(numbers)
    return numbers

input_files = ["test.txt", "test2.txt", "test3.txt"]
numbers = {}
for filename in input_files:
    numbers[filename] = get_numberes_from_file(filename)

with open("output.inp", "w") as file:
    json.dump(numbers, file, indent=4)

Quote:>>> for filename in input_files:
numbers[filename] = get_numberes_from_file(filename)


[]

import json
import re

path2text = '/home/pedro/temp/'
myfile = 'test_number_finder.txt'
 
integer_pattern = re.compile("[+-]?[0-9]+")
 
def get_numberes_from_file(filename):
    numbers = []
    with open(path2text + filename, "r") as file:
        for line in file:
            if line.startswith("*Nset"):
                break
        for line in file:
            if line.startswith("*Text"):
                break
            numbers += map(int, re.findall(integer_pattern, line))
    print(numbers)
    return numbers
 
input_files = ['test_number_finder.txt']
numbers = {}
for filename in input_files:
    numbers[filename] = get_numberes_from_file(filename)

Output:
Text
..
..
...
..
..
*Nset, nset=PATH, unsorted
13, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735
...
2559, 2560, 2561, 2562, 2563, 2564, 72
*Text
....
...
...
..
Text

import json
import re
 
integer_pattern = re.compile("[+-]?[0-9]+")
 
def get_numberes_from_file(filename):
    numbers = []
    with open(filename, "r") as file:
        for line in file:
            # Marks the beginning of int data
            if line.startswith("Nset"):
                break
        for line in file:
            # Read lines until encounter line without numbers
            matches = map(int, re.findall(integer_pattern, line))
            if matches:
                numbers += matches
            else:
                break
    return numbers
 
input_files = ["test.txt", "test2.txt", "test3.txt"]
numbers = {}
for filename in input_files:
    numbers[filename] = get_numberes_from_file(filename)
 
with open("output.inp", "w") as file:
    json.dump(numbers, file, indent=4)

(Aug-07-2022, 09:45 PM)deanhystad Wrote: I don't understand what you mean by "save the dictionary in a text file"? What file format do you want to use? What are the keys in the dictionary?

This code saves the dictionary as a json format file. For keys I use the filename of the input file.

import json
import re

integer_pattern = re.compile("[+-]?[0-9]+")

def get_numberes_from_file(filename):
    numbers = []
    with open(filename, "r") as file:
        for line in file:
            if line.startswith("*Nset"):
                break
        for line in file:
            if line.startswith("*Text"):
                break
            numbers += map(int, re.findall(integer_pattern, line))
    print(numbers)
    return numbers

input_files = ["test.txt", "test2.txt", "test3.txt"]
numbers = {}
for filename in input_files:
    numbers[filename] = get_numberes_from_file(filename)

with open("output.inp", "w") as file:
    json.dump(numbers, file, indent=4)

I don't understand what you were doing with the short name output files.

with open(path2text + filename, "r") as file:
        for line in file:
            #print(line)
            if line.startswith("*Nset"):
                break

def get_numberes_from_file(filename):
    numbers = []
    with open(path2text + filename, "r") as file:        
        for line in file:
            print(line)
            if line.startswith("*Text"):
                break
            numbers += map(int, re.findall(integer_pattern, line))
    print(numbers)
    return numbers

Quote:you have one of those 1 time use things, like csv.reader(), use it then lose it

with open(filename, "r") as file:

with open(filename, "r") as file:
    # do stuff with file

file = open(filename, "r")
try:
    # do stuff with file
finally:
    file.close()