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How to use _max method in yandex-tank
Best Python code snippet using yandex-tank
pySummary.py
Source:pySummary.py 
1"""2 @Author: Guillermo Rodriguez3 @Date: April 1, 20154 @Purpose: The purpose of this algorithm is to determine the minimum, maximum, and average for a series 5 of entries in a predetermined output file. 6"""7import sys8import argparse9import os10print("Starting Summary Calculations ......")11parser = argparse.ArgumentParser(prog='pySummary.py')12parser.add_argument('-engine', help='Search Engine [BING | GOOGLE | YAHOO]')13parser.add_argument('-file', help='Input File Name')14parse = parser.parse_args()15# --------------------------------------------------------------------------16# Global Configuration17# --------------------------------------------------------------------------18_MODE = "DEBUG"19if parse.engine and parse.file:20 _source = os.getcwd()+"\\"+parse.engine.upper()+"\\data\\"+parse.file21 22 if _MODE == "DEBUG":23 print("Engine: %s" % parse.engine)24 print("File: %s" % _source)25 _max = {'description': 0.0, 'div': 0.0, 'h1': 0.0, 'h2': 0.00, 'h3': 0.0, 'h4': 0.0, 'h5': 0.0, 'h6': 0.0, 'inbound_links': 0.0, 'keywords': 0.0, 'outbound_links': 0.0, 'p': 0.0, 'root': 0.0, 'span': 0.0, 'title': 0.0, 'quality': 0.00}26 _min = {'description': 1000.0, 'div': 1000.0, 'h1': 1000.0, 'h2': 1000.00, 'h3': 1000.0, 'h4': 1000.0, 'h5': 1000.0, 'h6': 1000.0, 'inbound_links': 1000.0, 'keywords': 1000.00, 'outbound_links': 1000.0, 'p': 1000.0, 'root': 1000.0, 'span': 1000.0, 'title': 1000.0, 'quality': 1000.00}27 _totals = {'description': 0.0, 'div': 0.0, 'h1': 0.0, 'h2': 0.00, 'h3': 0.0, 'h4': 0.0, 'h5': 0.0, 'h6': 0.0, 'inbound_links': 0.0, 'keywords': 0.0, 'outbound_links': 0.0, 'p': 0.0, 'root': 0.0, 'span': 0.0, 'title': 0.0, 'quality': 0.00}28 _lines = 029 _show_quality = False30 if os.path.exists(_source):31 with open(_source, 'r') as _file:32 for _line in _file:33 _data = _line.strip().split('\t')34 35 if len(_data) == 19 : _show_quality = True36 37 if _data[0].upper() != "INDEX":38 _lines += 139 # Totals40 _totals['description'] = float(_data[3]) 41 _totals['div'] += float(_data[4])42 _totals['h1'] += float(_data[5])43 _totals['h2'] += float(_data[6])44 _totals['h3'] += float(_data[7])45 _totals['h4'] += float(_data[8])46 _totals['h5'] += float(_data[9])47 _totals['h6'] += float(_data[10])48 _totals['inbound_links'] += float(_data[11])49 _totals['keywords'] += float(_data[12])50 _totals['outbound_links'] += float(_data[13])51 _totals['p'] += float(_data[14])52 _totals['root'] += float(_data[15])53 _totals['span'] += float(_data[16])54 _totals['title'] += float(_data[17])55 56 if len(_data) == 19: _totals['quality'] += float(_data[18])57 58 # Maximum59 if float(_data[3]) > _max['description']: _max['description'] = float(_data[3])60 if float(_data[4]) > _max['div']: _max['div'] = float(_data[4])61 if float(_data[5]) > _max['h1']: _max['h1'] = float(_data[5])62 if float(_data[6]) > _max['h2']: _max['h2'] = float(_data[6])63 if float(_data[7]) > _max['h3']: _max['h3'] = float(_data[7])64 if float(_data[8]) > _max['h4']: _max['h4'] = float(_data[8])65 if float(_data[9]) > _max['h5']: _max['h5'] = float(_data[9])66 if float(_data[10]) > _max['h6']: _max['h6'] = float(_data[10])67 if float(_data[11]) > _max['inbound_links']: _max['inbound_links'] = float(_data[11])68 if float(_data[12]) > _max['keywords']: _max['keywords'] = float(_data[12])69 if float(_data[13]) > _max['outbound_links']: _max['outbound_links'] = float(_data[13])70 if float(_data[14]) > _max['p']: _max['p'] = float(_data[14])71 if float(_data[15]) > _max['root']: _max['root'] = float(_data[15])72 if float(_data[16]) > _max['span']: _max['span'] = float(_data[16])73 if float(_data[17]) > _max['title']: _max['title'] = float(_data[17])74 if ( len(_data) == 19 ) and ( float(_data[18]) > _max['quality'] ): _max['quality'] = float(_data[18])75 76 # Minimum77 if float(_data[3]) < _min['description']: _min['description'] = float(_data[3])78 if float(_data[4]) < _min['div']: _min['div'] = float(_data[4])79 if float(_data[5]) < _min['h1']: _min['h1'] = float(_data[5])80 if float(_data[6]) < _min['h2']: _min['h2'] = float(_data[6])81 if float(_data[7]) < _min['h3']: _min['h3'] = float(_data[7])82 if float(_data[8]) < _min['h4']: _min['h4'] = float(_data[8])83 if float(_data[9]) < _min['h5']: _min['h5'] = float(_data[9])84 if float(_data[10]) < _min['h6']: _min['h6'] = float(_data[10])85 if float(_data[11]) < _min['inbound_links']: _min['inbound_links'] = float(_data[11])86 if float(_data[12]) < _min['keywords']: _min['keywords'] = float(_data[12])87 if float(_data[13]) < _min['outbound_links']: _min['outbound_links'] = float(_data[13])88 if float(_data[14]) < _min['p']: _min['p'] = float(_data[14])89 if float(_data[15]) < _min['root']: _min['root'] = float(_data[15])90 if float(_data[16]) < _min['span']: _min['span'] = float(_data[16])91 if float(_data[17]) < _min['title']: _min['title'] = float(_data[17])92 if ( len(_data) == 19 ) and ( float( _data[18] ) < _min['quality'] ): _min['quality'] = float(_data[18])93 else:94 print("Invalid Input File Specified")95 96 if( not _show_quality ): 97 _max.pop('quality', None)98 _min.pop('quality', None)99 _totals.pop('quality', None)100 101 print("MAXIMUM ---------------------------") 102 print(_max)103 print("MINIMUM ---------------------------")104 print(_min)105 print("AVERAGE ---------------------------")106 for key, value in _totals.items():107 _totals[key] = float(value)/_lines108 print(_totals)109else:110 parser.print_help()...
largestRectangleArea.py
Source:largestRectangleArea.py
1from datetime import datetime, time2import heapq3import math4class Solution:5 def largestRectangleArea1(self, h) -> int:6 if h == []:7 return 08 _max = 09 stack = []10 for i in range(len(h)):11 x = h[i]12 if not stack or h[stack[-1]] <= x:13 stack.append(i)14 continue15 n = len(stack)16 for k in range(n):17 _max = max(_max, h[stack[k]] * (i - stack[k]))18 j = n19 while j > 0 and h[stack[j - 1]] >= x:20 j -= 121 del stack[j + 1:]22 h[stack[-1]] = x23 for k in range(len(stack)):24 _max = max(_max, h[stack[k]] * (len(h) - stack[k]))25 return _max26 def largestRectangleArea2(self, heights) -> int:27 if heights == []:28 return 029 _max = 030 stack = []31 for i in range(len(heights)):32 x = heights[i]33 while stack and heights[stack[-1]] >= x:34 h = heights[stack.pop()]35 w = i if not stack else i - stack[-1] - 136 _max = max(_max, h * w)37 stack.append(i)38 n = len(heights)39 while stack:40 h = heights[stack.pop()]41 w = n if not stack else n - stack[-1] - 142 _max = max(_max, h * w)43 return _max44 def largestRectangleArea3(self, heights) -> int:45 if heights == []:46 return 047 _max = 048 stack = []49 for i in range(len(heights)):50 x = heights[i]51 while stack and heights[stack[-1]] > x:52 h = heights[stack.pop()]53 w = i if not stack else i - stack[-1] - 154 _max = max(_max, h * w)55 stack.append(i)56 n = len(heights)57 pre = -158 for i in range(len(stack)):59 h = heights[stack[i]]60 if h == 0:61 pre = stack[i]62 continue63 _max = max(_max, h * (n - (pre + 1)))64 pre = stack[i]65 return _max66 def largestRectangleArea(self, heights) -> int:67 if not heights:68 return 069 heights.append(0)70 _max = 071 stack = []72 for i in range(len(heights)):73 x = heights[i]74 while stack and heights[stack[-1]] >= x:75 h = heights[stack.pop()]76 w = i if not stack else i - stack[-1] - 177 _max = max(_max, h * w)78 stack.append(i)79 return _max80s = Solution()81startTime = datetime.now()82print(s.largestRectangleArea([3, 1, 4, 5, 3, 2, 7, 5, 3]))...
14500.py
Source:14500.py
1n, m = map(int, input().split())2pan = [list(map(int, input().split())) for _ in range(n)]3_max = 04# ì¼ìë§ë5for i in range(n):6 for j in range(m - 3):7 _max = max(_max, pan[i][j] + pan[i][j + 1] + pan[i][j + 2] + pan[i][j + 3])8for i in range(n - 3):9 for j in range(m):10 _max = max(_max, pan[i][j] + pan[i + 1][j] + pan[i + 2][j] + pan[i + 3][j])11 12# ë¤ëª¨13for i in range(n - 1):14 for j in range(m - 1):15 _max = max(_max, pan[i][j] + pan[i][j + 1] + pan[i + 1][j] + pan[i + 1][j + 1])16# ã´17for i in range(n - 1):18 for j in range(m - 2):19 _max = max(_max, pan[i][j] + pan[i][j + 1] + pan[i][j + 2] + pan[i + 1][j + 2])20 _max = max(_max, pan[i][j] + pan[i][j + 1] + pan[i][j + 2] + pan[i + 1][j])21 _max = max(_max, pan[i + 1][j] + pan[i + 1][j + 1] + pan[i + 1][j + 2] + pan[i][j + 2])22 _max = max(_max, pan[i + 1][j] + pan[i + 1][j + 1] + pan[i + 1][j + 2] + pan[i][j])23for i in range(n - 2):24 for j in range(m - 1):25 _max = max(_max, pan[i][j] + pan[i + 1][j] + pan[i + 2][j] + pan[i + 2][j + 1])26 _max = max(_max, pan[i][j] + pan[i + 1][j] + pan[i + 2][j] + pan[i][j + 1])27 _max = max(_max, pan[i][j + 1] + pan[i + 1][j + 1] + pan[i + 2][j + 1] + pan[i + 2][j])28 _max = max(_max, pan[i][j + 1] + pan[i + 1][j + 1] + pan[i + 2][j + 1] + pan[i][j])29# ì§ê·¸30for i in range(n - 1):31 for j in range(m - 2):32 _max = max(_max, pan[i][j] + pan[i][j + 1] + pan[i + 1][j + 1] + pan[i + 1][j + 2])33 _max = max(_max, pan[i + 1][j] + pan[i + 1][j + 1] + pan[i][j + 1] + pan[i][j + 2])34for i in range(n - 2):35 for j in range(m - 1):36 _max = max(_max, pan[i][j]+ pan[i+1][j]+pan[i+1][j+1]+pan[i+2][j+1])37 _max = max(_max, pan[i][j+1]+ pan[i+1][j]+pan[i+1][j+1]+pan[i+2][j])38# íì´í39for i in range(n - 1):40 for j in range(m - 2):41 _max = max(_max, pan[i][j] + pan[i][j + 1] + pan[i][j + 2] + pan[i + 1][j + 1])42 _max = max(_max, pan[i + 1][j] + pan[i + 1][j + 1] + pan[i + 1][j + 2] + pan[i][j + 1])43for i in range(n - 2):44 for j in range(m - 1):45 _max = max(_max, pan[i][j] + pan[i + 1][j] + pan[i + 2][j] + pan[i + 1][j + 1])46 _max = max(_max, pan[i][j + 1] + pan[i + 1][j + 1] + pan[i + 2][j + 1] + pan[i+1][j])47 ...
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