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#fasta file to dictionary
import pandas as pd
import argparse
from Bio import SeqIO

# make a parser so we can pass things in from command line
parser = argparse.ArgumentParser(
    prog = "Name of the program",
    description = "What the program does",
    epilog = "Text at the bottom of help")

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from Bio import SeqIO


def fasta_search(fastas, target):
    """
    Search for a sequence motif in multiple FASTA records.

    Args:    fastas - SeqIO iterable
             target - the sequence name to find (string)
    Returns: Nothing.

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#latest first

create REPONAME on github

mkdir REPONAME
cd REPONAME
git init
hugo new site site-build
cp -r ../data-vis-with-streamlit/site-build/content site-build
cp -r ../data-vis-with-streamlit/site-build/themes/LoveIt_local site-build/themes

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spec_dict = {
        "A": "dog",
        "B": "parrot",
        "C": "algae",
        "D": "trilobite",
        "E": "apple",
        "F": "dugong",
        "G": "placozoa"}

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((B:0.2,(C:0.3,D:0.4)E:0.5)F:0.1)A;

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#~ standard library imports
import sys
import re

#~ local file import (the dict of codes:species)
try:
    import species_dict
except Exception as e:
    print(f"You'll need your codes:species dict here, named \"species_dict.py\"\n"
          f"or there is an issue: {e}")

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import something

def bobble();
    print("ah")
    

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# hello, this is gist, where snippets of code can be shared
# without needing a full repository.
# here is an example of a gist :)


# chunks splits the screen_name list into manageable blocks:
def chunks(a_list, length_of_chunk):

    # For item i in a range that is a length of a_list,
    for i in range(0, len(a_list), length_of_chunk):