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# -*- coding:utf-8 -*- |
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''' |
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Step 7 |
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''' |
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#!/usr/bin/env python |
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from __future__ import print_function |
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from base import create_csv, TARGET_DIR, MODEL_LIST |
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import os |
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import csv |
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import random |
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''' |
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แก้ตรงนี้ไปก่อนละกัน No of Tree = “4Ts” และ No of R = “5” |
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No of Tree ของคุณ ==== NOT_ARG --- ถ้าต้องการทั้งหมดใช้ 'all' |
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No of R ของคุณ ======= TOTAL -- ถ้าต้องการทั้งหมดก็ = 0 |
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แต่ว่า ผมไม่รับรองว่าจะใช้ได้ทั้งหมดเพราะว่า มันก็ขึ้นกับหลายอย่าง |
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เช่น 1Ts มีไม่กี่อันอาจจะ error มั้ง? โดยเฉพาะเวลา random |
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''' |
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NOT_ARG = '2Ts' |
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TOTAL = 20 |
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SRC_PATH = os.path.join(TARGET_DIR, 'part6') |
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def get_by_order(): |
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for m in MODEL_LIST: |
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result = [] |
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count = 0 |
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with open(os.path.join(SRC_PATH, '%s-6.csv' % m), 'rb') as f: |
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rows = csv.reader(f) |
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for r in rows: |
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if NOT_ARG != r[2] and NOT_ARG != 'all': |
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continue |
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row = [ |
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r[0], # R_id |
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'Ord_%s' % r[1], # no of R |
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r[2], # No of Tree |
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m, # model |
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] + r[7:] |
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result.append(row) |
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count += 1 |
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if count >= TOTAL and TOTAL > 0: |
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break |
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output_name = '%s-1.csv' % m |
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create_csv(output_name, result, directory='part7') |
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def get_by_random(): |
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for m in MODEL_LIST: |
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lo_list = [] |
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result = [] |
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with open(os.path.join(SRC_PATH, '%s-6.csv' % m), 'rb') as f: |
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rows = csv.reader(f) |
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for r in rows: |
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l = [ |
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r[0], # R_id |
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'', # no of R |
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r[2], # No of Tree |
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m, # model |
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] + r[7:] |
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lo_list.append(l) |
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picked = [] |
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ok = False |
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_TOTAL = len(lo_list) if TOTAL < 1 else TOTAL |
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for i in xrange(0, _TOTAL): |
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ok = False |
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while not ok: |
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pick = random.choice(lo_list) |
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if NOT_ARG != pick[2] and NOT_ARG != 'all': |
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continue |
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if pick[0] not in picked: |
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picked.append(pick[0]) |
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pick[1] = 'Ran_%s' % i |
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ok = True |
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result.append(pick) |
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output_name = '%s-2.csv' % m |
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create_csv(output_name, result, directory='part7') |
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def get_by_group(model_name, step, **kwargs): |
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new_prefix = kwargs.get('prefix', 'XX') |
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output_suffix = kwargs.get('suffix', '3') |
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result = [] |
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count = 1 |
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fpath = os.path.join(TARGET_DIR, 'part7', '%s-%s.csv' % (model_name, step)) |
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with open(fpath, 'rb') as f: |
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rows = csv.reader(f) |
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# do nothing to 1st row |
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first = rows.next() |
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first[0] = '%s_%s' % (new_prefix, count) |
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result.append(first) |
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calibrator = first[:] |
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for r in rows: |
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count += 1 |
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_r = r[:] |
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_r[0] = '%s_%s' % (new_prefix, count) |
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for i in xrange(5, len(_r)): |
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# get rid of asterik first |
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calibrator[i] = calibrator[i].replace('*', '') |
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# do comparison |
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if _r[i] == 'Y/N' or _r[i] == calibrator[i] or calibrator[i] == '': |
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pass |
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elif (_r[i] == '' and calibrator[i] != '') or calibrator[i] == 'Y/N': |
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_r[i] = '%s*' % calibrator[i] |
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else: # one Y one N |
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_r[i] = 'Y/N*' |
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result.append(_r) |
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calibrator = _r[:] |
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output_name = '%s-%s.csv' % (model_name, output_suffix) |
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create_csv(output_name, result, directory='part7') |
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get_by_order() |
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get_by_random() |
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for m in MODEL_LIST: |
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for s in '12': |
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get_by_group(m, s, prefix='Rg', suffix=('3' if s == '1' else '4'))
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