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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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query = '''
SELECT pitch_type,release_speed,release_pos_x,release_pos_z,pitcher,pfx_x,pfx_z,plate_x,plate_z,balls,strikes,
vx0,vy0,vz0,ax,ay,az,release_spin_rate,release_extension,description


FROM statcast_2018
    WHERE  release_speed >= 0

'''

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import math
import matplotlib.pyplot as plt

#initial condition
mass = 5.125 #Oz
circumference = 9.125 #inches
x0  = 0 #ft
y0 = 2.000 #ft
z0 = 3 #ft
exit_speed  = 100 #mph

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import numpy as np
from sklearn import linear_model
import pandas as pd
import requests
from sklearn.feature_extraction import DictVectorizer

team_id_list = ['1610612737','1610612738','1610612751','1610612766','1610612741','1610612739','1610612742','1610612743','1610612765','1610612744','1610612745','1610612754','1610612746','1610612747','1610612763','1610612748','1610612749','1610612750','1610612740','1610612752','1610612760','1610612753','1610612755','1610612756','1610612757','1610612758','1610612759','1610612761','1610612762','1610612764']


headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36'}