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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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