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<config lang="json">
{
    "name": "mi-core",
    "type": "web-python",
    "tags": [],
    "flags": [],
    "ui": "",
    "version": "0.1.0",
    "cover": "",
    "description": "Connect to the bioengine server, and execute operations.",

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<docs lang="markdown">
The panel for upload the image file.
</docs>

<config lang="json">
{
    "name": "upload-panel",
    "type": "window",
    "tags": [],
    "ui": "",

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# -*- coding: utf-8 -*-

"""
crawl genecard, fetch gene infos.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

usage: fetch-genecard.py [-h] [--xpath XPATH] [--base-url BASE_URL]
                         [--num NUM] [--timeout TIMEOUT]
                         id_list

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library(GenomicRanges)
library(ggbio)

pairs.df <- read.table("D:/tmp/ggbio_demo/ZQL-49_final.txt",header=FALSE, sep="\t")[,1:7]
colnames(pairs.df) <- c("read", "chr1", "pos1", "chr2", "pos2", "strand1", "strand2")

chromsize.df <- read.csv("D:/tmp/ggbio_demo/susScr11_ASFV_noun.fa.csv") 

chromsize.gr <- GRanges(
  seqnames = chromsize.df$seqnames,

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from nd2reader import ND2Reader
import matplotlib.pyplot as plt
from pathlib import Path
import numpy as np
import scipy.ndimage as ndi
import skimage.filters as F
import skimage.morphology as M
import skimage.measure as Ms
import skimage.exposure as E
from skimage.morphology.selem import disk

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import typing as t
from pathlib import Path
import fire
import mechanicalsoup
from bs4 import BeautifulSoup
from tqdm import tqdm

browser = mechanicalsoup.StatefulBrowser()

base_urls = {

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import os
import re
from typing import Iterable, Tuple, Optional, Union, Callable, TypeVar
from functools import partial
from contextlib import ContextDecorator
from tqdm.auto import tqdm

Bin = Tuple[str, int, int]
Bigwig = "pyBigWig.bigWigFile"
BinValue = Tuple[Bin, float]

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"""
Fetch pictures in Douban Album
    via Douban API V2(https://douban-api-docs.zce.me/photo.html)
"""
import os
import sys
import json
from typing import Dict, List, Iterator, Tuple
import shutil
from concurrent.futures import ThreadPoolExecutor

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import attr
import typing
from collections import defaultdict

@attr.s(auto_attribs=True)
class GFF3Record:
    seq_id : str = ""
    source : str = ""
    type_ : str = ""
    start : int = 0

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import requests
import re
import os
from concurrent.futures import ThreadPoolExecutor

import pandas as pd
from tqdm import tqdm


def fetch_page(base_url):