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% x represents series of number of random numbers | |
x = 100:2000; | |
% y represents estimated value of PI | |
y = zeros(1, length(x)); | |
for i=1:length(x) | |
inliers = 0; | |
% get single value from the series | |
N = x(i); | |
% generate N random 2-D coordinates |
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from math import sqrt | |
from phBot import log, set_training_radius, get_drops, generate_path, move_to, get_position, set_training_position, start_bot, stop_bot, get_monsters | |
import phBotChat | |
import QtBind | |
SCRIPT_ACTIVE = False | |
FLOOR_INDEX = None | |
REGISTERED_WALK = [] |
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from sklearn.tree import export_graphviz | |
export_graphviz(best_model, | |
out_file='tree.dot', | |
feature_names = feature_pd.columns, | |
class_names = le.classes_, | |
rounded = True, | |
proportion = False, | |
precision = 2, | |
filled = True) |
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Sub groupTest() | |
ActiveSheet.Outline.SummaryRow = xlAbove | |
Dim sRng As Range | |
Dim eRng As Range | |
Dim rng As Range | |
Dim currRng As Range | |
Set currRng = Range("B2") | |
Set sRng = Range("B2") |
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import argparse | |
import re | |
import pandas as pd | |
parser = argparse.ArgumentParser(description="Reformatter app") | |
parser.add_argument("path", type=str, help="Path to an Excel file") | |
def uppercase_first_letter(text: str) -> str: |
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