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poll_label,pollster,org,race,year,office,state,field_dates,last_field_day,days_to_election,n,population,topline_published_D,topline_published_R,poll_margin_R_2party,certified_margin_R_2party,margin_error_pp,dimension,bin_as_published,bin_normalized,poll_bin_vote_D_pct_2party,poll_bin_vote_R_pct_2party,exitpoll_bin_D_pct,exitpoll_bin_R_pct,collection_tag,field_start,exitpoll_source,certified_raw_margin_R_pp,certified_source,exitpoll_group_label,exitpoll_group_numrows,exitpoll_group_share_pct,catalist_group_label,catalist_group_share_pct,cps_group_label,cps_group_share_pct,benchmark_sources_matched
"2020-Governor-NC|Emerson August 8-10, 2020",Emerson College Polling,Emerson,2020-Governor-NC,2020,Governor,NC,"August 8-10, 2020",2020-08-10,85,673,RV,53.2,46.8,-6.4,-4.58,1.82,Age,18-29 years,18-29 years,63.8,36.2,58.3,41.7,midfield_2020_2022,,CNN/Edison 2020-GG-NC,-4.58,Wikipedia: 2020 North Carolina gubernatorial election,18-24 + 25-29,6.0,14.0,ages 18-29 (native bands),15.64,ages 18-29,16.46090268840494,Exit|Cat

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import polars as pl
import numpy as np
import json
import fastplotlib as fpl
from fastplotlib.ui import EdgeWindow
from imgui_bundle import imgui
import matplotlib.pyplot as plt
import pyperclip  # For clipboard functionality

# Set numpy defaults

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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Baseball Seam visualizer</title>
    <style>
        body {
            font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji";
            margin: 0;

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# Updating https://github.com/AndRoo88/Baseball-Flight-Calculator to use real Statcast data as input
# Modify processing.py to change scipy deprecated rotation
# Here one pitch is randomly selected from each pitch typea and calculate its trajectory using different seam orientation

#from scipy.spatial.transform import Rotation as R
def _create_rotation_from_matrix(matrix):
#     """
#     Create a scipy Rotation object from a rotation matrix.
#     Handles compatibility between old (from_dcm) and new (from_matrix) scipy versions.
#     """

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import os
from typing import Dict, List

import numpy as np
import pandas as pd


DRS_DIR = os.path.join("Statcast_data", "DRS")

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#Adapt from github.com/HKUNLP/Dream and github.com/ML-GSAI/LLaDA

import torch
import numpy as np
import gradio as gr
import torch.nn.functional as F
from transformers import AutoTokenizer, AutoModel
import time
import re
import traceback

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# outlines/processor/structured.py
...
class GuideLogitsProcessor(OutlinesLogitsProcessor):
    """Bias generation using a finite

    Attributes
    ----------
    tokenizer
        The tokenizer used to convert tokens to ids.
    guide

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import chess
import re
import outlines.text.generate as generate
import outlines.models as models
import chess.engine
import chessboard.display
import os

os.environ["TOKENIZERS_PARALLELISM"] = "false"

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