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from struct import calcsize
import polars as pl

def scid_parse_trades(filepath: str) -> pl.DataFrame:
    """Sierrachart's SCID format. Must be configured to record single trade ticks."""
    intraday_record_struct = np.dtype(
        [
            ("timestamp", "<q"),
            ("open", "<f"),
            ("ask_price", "<f"),

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def make_window_borderless(self):
        """
            Requires: pywin32
            https://www.lfd.uci.edu/~gohlke/pythonlibs/#pywin32
            import win32gui as wg
            import win32api as wa
            import win32con as wc
            
            Based on: https://github.com/howardjohn/pyty/blob/master/src/window_api.py
        """

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from typing import List
import pandas as pd


def explode_multi_column(
    df: pd.DataFrame, index_cols: List[str], sep: str
):
    """

    In [13]:  

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{
  "results": [
    {
      "id": 1,
      "type": "exchange",
      "asset_class": "stocks",
      "locale": "us",
      "name": "NYSE American, LLC",
      "acronym": "AMEX",
      "mic": "XASE",

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from nautilus_trader.backtest.data.wranglers import BarDataWrangler
from nautilus_trader.persistence.external.readers import ParquetReader
from nautilus_trader.persistence.catalog import DataCatalog
from functools import partial
from nautilus_trader.core.datetime import dt_to_unix_nanos
from nautilus_trader.model.c_enums.bar_aggregation import BarAggregation
from nautilus_trader.model.data.bar import Bar, BarType, BarSpecification
from nautilus_trader.model.enums import AggregationSource, PriceType
from nautilus_trader.persistence.external.core import process_files, write_objects

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# -*- coding: utf-8 -*-
"""
@author: goraj
"""
import lightgbm as lgbm
from sklearn.datasets import load_digits
import numpy as np

from sklearn.model_selection import train_test_split
from sklearn.metrics import roc_auc_score

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import streamlit.ReportThread as ReportThread
from streamlit.ScriptRequestQueue import RerunData
from streamlit.ScriptRunner import RerunException
from streamlit.server.Server import Server


def rerun():
    """Rerun a Streamlit app from the top!"""
    widget_states = _get_widget_states()
    raise RerunException(RerunData(widget_states))