<commit_before># Takes input fastq file, outputs fastq file with random unique headers
# Wrote this to get around CLC Genomics Workbench naming all sequences 
# "No Name"

# Uses Markov Models to generate names!

# <NAME>

from fasta import *
from sys import argv as argh
from random import randint as randy

def main(argh):

    filename = argh[1]
    handle = open(filename)

    
    for record in Fasta(handle, 'fastq'):
        name = randy(0, 18446744073709552000)
        record.header = name
        print '%s' % record,
    <commit_msg>works.  replaces fasta record headers with random number<commit_after># Takes input fastq file, outputs fastq file with random unique headers
# Wrote this to get around CLC Genomics Workbench naming all sequences 
# "No Name"

# Uses Markov Models to generate names!

# <NAME>

from fasta import *
from sys import argv as argh
from random import randint as randy

def main(argh):

    filename = argh[1]
    handle = open(filename)

    
    for record in Fasta(handle, 'fasta'):
        name = randy(0, 18446744073709552000)
        record.header = name
        print '%s' % record,
    
{'fraction_non_alphanumeric': 0.07325684024713151, 'fraction_numerical': 0.038834951456310676, 'mean_word_length': 3.2313432835820897, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '862995', 'n_tokens_mistral': 382, 'n_tokens_neox': 341, 'n_words': 139}