52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
from functools import wraps, reduce
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from collections import defaultdict
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from tqdm import tqdm
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import os
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import time
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import math
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import random
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import copy
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import argparse
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# import joblib
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import pickle
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import warnings
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import heapq
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import numpy as np
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import pandas as pd
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import matplotlib.pyplot as plt
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import matplotlib
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import traceback
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import openpyxl
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import itertools
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matplotlib.use('TkAgg')
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# feeder_width = {'SM8': (7.25, 7.25), 'SM12': (7.00, 20.00), 'SM16': (7.00, 22.00),
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# 'SM24': (7.00, 29.00), 'SM32': (7.00, 44.00), 'SME8': (7.25, 7.25),
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# 'SME12': (7.00, 20.00), 'SME16': (7.00, 22.00), 'SME24': (7.00, 29.00),
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# 'SME32': (7.00, 44.00), 'Tray Feeder': (7.25, 7.25)}
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feeder_width = {'SM8': (7.25, 7.25), 'SM12': (7.25, 7.25), 'SM16': (7.25, 7.25),
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'SM24': (7.25, 7.25), 'SM32': (7.25, 7.25), 'SME8': (7.25, 7.25),
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'SME12': (7.25, 7.25), 'SME16': (7.25, 7.25), 'SME24': (7.25, 7.25),
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'SME32': (7.25, 7.25), 'Tray Feeder': (7.25, 7.25)}
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nozzle_limit = {'CN065': 100, 'CN040': 100, 'CN020': 100, 'CN400': 100, 'CN140': 100, 'CN220': 100, 'CN750': 100}
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def timer_wrapper(func):
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@wraps(func)
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def measure_time(*args, **kwargs):
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start_time = time.time()
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result = func(*args, **kwargs)
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hinter = True
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for key, val in kwargs.items():
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if key == 'hinter':
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hinter = val
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if hinter:
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print(f"function {func.__name__} running time : {time.time() - start_time:.3f} s")
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return result
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return measure_time
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